diff --git a/.github/dependabot.yml b/.github/dependabot.yml
index bd7cc384e..7f1ca6154 100644
--- a/.github/dependabot.yml
+++ b/.github/dependabot.yml
@@ -64,6 +64,13 @@ updates:
reviewers:
- "SeldonIO/mlops"
+ - package-ecosystem: "pip"
+ directory: "/runtimes/catboost"
+ schedule:
+ interval: "weekly"
+ reviewers:
+ - "SeldonIO/mlops"
+
- package-ecosystem: "docker"
directory: "/"
schedule:
diff --git a/.github/workflows/licenses.yml b/.github/workflows/licenses.yml
index c26e2bd84..858dcb6c7 100644
--- a/.github/workflows/licenses.yml
+++ b/.github/workflows/licenses.yml
@@ -47,4 +47,4 @@ jobs:
subdependency.
This automated PR will re-generate the licenses to keep them up to
date."
- reviewers: adriangonz
+ reviewers: "SeldonIO/mlops"
diff --git a/.github/workflows/release-sc.yml b/.github/workflows/release-sc.yml
index 270feb5c8..8227db80d 100644
--- a/.github/workflows/release-sc.yml
+++ b/.github/workflows/release-sc.yml
@@ -94,7 +94,7 @@ jobs:
sudo mv preflight-linux-amd64 /usr/local/bin/preflight
preflight --version
env:
- PREFLIGHT_VERSION: 1.4.2
+ PREFLIGHT_VERSION: 1.10.0
- name: Submit preflight results
run: |
preflight check container \
@@ -164,7 +164,7 @@ jobs:
sudo mv preflight-linux-amd64 /usr/local/bin/preflight
preflight --version
env:
- PREFLIGHT_VERSION: 1.4.2
+ PREFLIGHT_VERSION: 1.10.0
- name: Submit preflight results
run: |
preflight check container \
diff --git a/.github/workflows/release.yml b/.github/workflows/release.yml
index 36ad6df80..824f6f93d 100644
--- a/.github/workflows/release.yml
+++ b/.github/workflows/release.yml
@@ -92,7 +92,7 @@ jobs:
sudo mv preflight-linux-amd64 /usr/local/bin/preflight
preflight --version
env:
- PREFLIGHT_VERSION: 1.4.2
+ PREFLIGHT_VERSION: 1.10.0
- name: Submit preflight results
run: |
preflight check container \
@@ -164,7 +164,7 @@ jobs:
sudo mv preflight-linux-amd64 /usr/local/bin/preflight
preflight --version
env:
- PREFLIGHT_VERSION: 1.4.2
+ PREFLIGHT_VERSION: 1.10.0
- name: Submit preflight results
run: |
preflight check container \
@@ -216,6 +216,7 @@ jobs:
- mllib
- sklearn
- xgboost
+ - catboost
steps:
- name: Maximize build space
uses: easimon/maximize-build-space@master
@@ -287,7 +288,7 @@ jobs:
sudo mv preflight-linux-amd64 /usr/local/bin/preflight
preflight --version
env:
- PREFLIGHT_VERSION: 1.4.2
+ PREFLIGHT_VERSION: 1.10.0
- name: Submit preflight results
run: |
preflight check container \
diff --git a/.github/workflows/tests.yml b/.github/workflows/tests.yml
index 7350cd61c..00a500974 100644
--- a/.github/workflows/tests.yml
+++ b/.github/workflows/tests.yml
@@ -9,56 +9,80 @@ on:
branches: [master]
jobs:
+ generate:
+ strategy:
+ fail-fast: false
+ matrix:
+ python-version: ["3.9", "3.10"]
+ target: ["dataplane", "model-repository"]
+ runs-on: ubuntu-22.04
+ steps:
+ - uses: actions/checkout@v4
+ - name: Set up Python ${{ matrix.python-version }}
+ uses: actions/setup-python@v5
+ with:
+ python-version: ${{ matrix.python-version }}
+ - name: Install Poetry
+ uses: snok/install-poetry@v1
+ with:
+ virtualenvs-create: false
+ - name: Install dependencies
+ run: poetry install --sync --only dev
+ - name: Generate ${{ matrix.target }}
+ run: make generate-${{ matrix.target }}
+ - name: Check for changes
+ run: make lint-no-changes
+
lint:
- runs-on: ubuntu-latest
+ strategy:
+ matrix:
+ python-version:
+ - "3.9"
+ - "3.10"
+ runs-on: ubuntu-22.04
steps:
- uses: actions/checkout@v4
- - name: Set up Python 3.10
+ - name: Set up Python ${{ matrix.python-version }}
uses: actions/setup-python@v5
with:
- python-version: "3.10"
+ python-version: ${{ matrix.python-version }}
- name: Install Poetry
uses: snok/install-poetry@v1
with:
virtualenvs-create: false
- name: Install dependencies
- run: |
- make install-dev
+ run: poetry install --sync --only dev
- name: Lint
- run: |
- make lint
+ run: make lint
- mlserver:
+ test-mlserver:
strategy:
fail-fast: false
matrix:
- os: [ubuntu-latest, macos-latest]
+ os:
+ - ubuntu-22.04
+ - macos-13
# NOTE: There's no pre-built `grpcio` wheel for Python 3.11 yet
# https://github.com/grpc/grpc/issues/32454
- python-version: ["3.9", "3.10"]
+ python-version:
+ - "3.9"
+ - "3.10"
is-pr:
- ${{ github.event_name == 'pull_request' }}
exclude:
# MacOS tests take a lot of time, so we will run them only on merge
# From https://github.com/orgs/community/discussions/26253
- is-pr: true
- os: macos-latest
+ os: macos-13
runs-on: ${{ matrix.os }}
steps:
- - name: Setup docker (missing on MacOS)
- if: runner.os == 'macos'
- run: |
- # From https://github.com/actions/runner-images/issues/17#issuecomment-1537238473
- # From https://github.com/abiosoft/colima/discussions/273#discussioncomment-4959736
- # NOTE: Use the `slirp` driver rather than the default to avoid
- # random connection errors.
- # From https://github.com/abiosoft/colima/issues/577
- brew install docker docker-buildx
- mkdir -p $HOME/.docker/cli-plugins
- ln -sfn $(which docker-buildx) $HOME/.docker/cli-plugins/docker-buildx
- colima start --memory 5 --network-driver slirp
- sudo ln -sf $HOME/.colima/default/docker.sock /var/run/docker.sock
- uses: actions/checkout@v4
+ - name: Setup Docker (missing on MacOS)
+ if: runner.os == 'macos'
+ run: ./hack/install-docker-macos.sh
+ - name: Install OpenMP (in MacOS)
+ if: runner.os == 'macOS'
+ run: brew install libomp
- name: Set up Python ${{ matrix.python-version }}
uses: actions/setup-python@v5
with:
@@ -71,19 +95,25 @@ jobs:
uses: snok/install-poetry@v1
with:
virtualenvs-create: false
- - name: Install Dependencies
- run: |
- poetry install --sync --only dev
+ - name: Install dependencies
+ run: poetry install --only test
- name: Test
run: |
- tox -e mlserver
+ if [[ ${{ runner.os == 'macOS' }} ]]; then
+ source ./hack/activate-libomp-macos.sh
+ fi
+ poetry run tox -e mlserver
- runtimes:
+ test-runtimes:
strategy:
fail-fast: false
matrix:
- os: [ubuntu-latest, macos-latest]
- python-version: ["3.9", "3.10"]
+ os:
+ - ubuntu-22.04
+ - macos-13
+ python-version:
+ - "3.9"
+ - "3.10"
tox-environment:
- sklearn
- xgboost
@@ -99,10 +129,13 @@ jobs:
# MacOS tests take a lot of time, so we will run them only on merge
# From https://github.com/orgs/community/discussions/26253
- is-pr: true
- os: macos-latest
+ os: macos-13
runs-on: ${{ matrix.os }}
steps:
- uses: actions/checkout@v4
+ - name: Install OpenMP (in MacOS)
+ if: runner.os == 'macOS'
+ run: brew install libomp
- name: Set up Python ${{ matrix.python-version }}
uses: actions/setup-python@v5
with:
@@ -115,21 +148,27 @@ jobs:
uses: snok/install-poetry@v1
with:
virtualenvs-create: false
- - name: Install Dependencies
- run: |
- poetry install --sync --only dev
+ - name: Install dependencies
+ run: poetry install --only test
- name: Test
run: |
- tox -c ./runtimes/${{ matrix.tox-environment }}
+ if [[ ${{ runner.os == 'macOS' }} ]]; then
+ source ./hack/activate-libomp-macos.sh
+ fi
+ poetry run tox -c ./runtimes/${{ matrix.tox-environment }}
# Ensure that having all the runtimes installed together works
- all-runtimes:
+ test-all-runtimes:
if: github.event_name == 'push'
strategy:
fail-fast: false
matrix:
- os: [ubuntu-latest, macos-latest]
- python-version: ["3.9", "3.10"]
+ os:
+ - ubuntu-22.04
+ - macos-12
+ python-version:
+ - "3.9"
+ - "3.10"
runs-on: ${{ matrix.os }}
steps:
- name: Maximize build space
@@ -143,30 +182,21 @@ jobs:
remove-docker-images: 'true'
overprovision-lvm: 'true'
swap-size-mb: 1024
- - name: Setup docker (missing on MacOS)
+ - uses: actions/checkout@v4
+ - name: Setup Docker (missing on MacOS)
if: runner.os == 'macOS'
- run: |
- # From https://github.com/actions/runner-images/issues/17#issuecomment-1537238473
- # From https://github.com/abiosoft/colima/discussions/273#discussioncomment-4959736
- # NOTE: Use the `slirp` driver rather than the default to avoid
- # random connection errors.
- # From https://github.com/abiosoft/colima/issues/577
- brew install docker docker-buildx
- mkdir -p $HOME/.docker/cli-plugins
- ln -sfn $(which docker-buildx) $HOME/.docker/cli-plugins/docker-buildx
- colima start --memory 5 --network-driver slirp
- sudo ln -sf $HOME/.colima/default/docker.sock /var/run/docker.sock
+ run: ./hack/install-docker-macos.sh
- name: Downgrade OpenMP (in MacOS)
- if: runner.os == 'macOS'
+ if: runner.os == 'macos'
run: |
# Recent versions of OpenMP cause segfaults in MacOS when training
# LightGBM / XGBoost models (but only when Torch is present)
# https://github.com/microsoft/LightGBM/issues/4229
# https://github.com/autogluon/autogluon/issues/1442
- wget https://raw.githubusercontent.com/Homebrew/homebrew-core/fb8323f2b170bd4ae97e1bac9bf3e2983af3fdb0/Formula/libomp.rb
+ wget https://raw.githubusercontent.com/chenrui333/homebrew-core/0094d1513ce9e2e85e07443b8b5930ad298aad91/Formula/libomp.rb
brew unlink libomp
- brew install libomp.rb
- - uses: actions/checkout@v4
+ brew install --build-from-source ./libomp.rb
+ brew list --version libomp
- name: Set up Python ${{ matrix.python-version }}
uses: actions/setup-python@v5
with:
@@ -179,9 +209,11 @@ jobs:
uses: snok/install-poetry@v1
with:
virtualenvs-create: false
- - name: Install Dependencies
- run: |
- poetry install --sync --only dev
+ - name: Install dependencies
+ run: poetry install --only test
- name: Test
run: |
- tox -e all-runtimes
+ if [[ ${{ runner.os == 'macOS' }} ]]; then
+ source ./hack/activate-libomp-macos.sh
+ fi
+ poetry run tox -e all-runtimes
diff --git a/.gitignore b/.gitignore
index 883339291..89619c9bf 100644
--- a/.gitignore
+++ b/.gitignore
@@ -11,7 +11,7 @@ bin
# Mac file system
**/.DS_Store
-
+
# editor and IDE paraphernalia
.idea
.vscode
@@ -51,6 +51,8 @@ mlruns
dataset
lightning_logs
+# Runtime: CatBoost
+catboost_info/
# Sphinx documentation
docs/_build/
@@ -59,7 +61,7 @@ docs/_build/
**/tests/testdata/.cache/**
## The .data path is longer used, but let's keep the line to avoid people
## pushing their old .data folder by mistake
-runtimes/alibi-explain/tests/.data/**
+runtimes/alibi-explain/tests/.data/**
# Docker metadata
.docker/
diff --git a/.readthedocs.yaml b/.readthedocs.yaml
index 20ca0133f..2c97bb931 100644
--- a/.readthedocs.yaml
+++ b/.readthedocs.yaml
@@ -16,16 +16,17 @@ formats:
build:
os: ubuntu-22.04
tools:
- python: "3.8"
+ python: "3.10"
jobs:
# Set up Poetry
# From https://docs.readthedocs.io/en/stable/build-customization.html#install-dependencies-with-poetry
post_create_environment:
# Install poetry
# https://python-poetry.org/docs/#installing-manually
- - pip install poetry==1.4.2
- # Tell poetry to not use a virtual environment
- - poetry config virtualenvs.create false
+ - pip install poetry==1.8.1
+ post_install:
# Install dependencies with 'docs' dependency group
# https://python-poetry.org/docs/managing-dependencies/#dependency-groups
- - poetry install -vvv --without dev --with docs --with all-runtimes --with all-runtimes-dev
+ # VIRTUAL_ENV needs to be set manually for now.
+ # See https://github.com/readthedocs/readthedocs.org/pull/11152/
+ - VIRTUAL_ENV=$READTHEDOCS_VIRTUALENV_PATH poetry install -vvv --without dev --with docs --with all-runtimes --with all-runtimes-dev
diff --git a/CHANGELOG.md b/CHANGELOG.md
index c66498ec3..b6ff82727 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -1,11 +1,134 @@
# Changelog
+<a name="1.6.1"></a>
+## [1.6.1](https://github.com/SeldonIO/MLServer/releases/tag/1.6.1) - 10 Sep 2024
+
+<!-- Release notes generated using configuration in .github/release.yml at 1.6.1 -->
+
+## Overview
+
+### Features
+MLServer now offers an option to use pre-existing Python environments by specifying a path to the environment to be used - by [@idlefella](https://github.com/idlefella) in ([#1891](https://github.com/SeldonIO/MLServer/issues/1891))
+
+### Releases
+MLServer released catboost runtime which allows serving [catboost](https://catboost.ai/) models with MLServer - by [@sakoush](https://github.com/sakoush) in ([#1839](https://github.com/SeldonIO/MLServer/issues/1839))
+
+### Fixes
+* Kafka json byte encoding fix to match rest server by [@DerTiedemann](https://github.com/DerTiedemann) and [@sakoush](https://github.com/sakoush) in ([#1622](https://github.com/SeldonIO/MLServer/issues/1622))
+* Prometheus interceptor fix for gRPC streaming by [@RobertSamoilescu](https://github.com/RobertSamoilescu) in ([#1858](https://github.com/SeldonIO/MLServer/issues/1858))
+
+
+## What's Changed
+* Re-generate License Info by [@github-actions](https://github.com/github-actions) in https://github.com/SeldonIO/MLServer/pull/1812
+* Update CHANGELOG by [@github-actions](https://github.com/github-actions) in https://github.com/SeldonIO/MLServer/pull/1830
+* Update release.yml to include catboost by [@sakoush](https://github.com/sakoush) in https://github.com/SeldonIO/MLServer/pull/1839
+* Fix kafka json byte encoding to match rest server by [@DerTiedemann](https://github.com/DerTiedemann) in https://github.com/SeldonIO/MLServer/pull/1622
+* Included Prometheus interceptor support for gRPC streaming by [@RobertSamoilescu](https://github.com/RobertSamoilescu) in https://github.com/SeldonIO/MLServer/pull/1858
+* Run gRPC test serially by [@RobertSamoilescu](https://github.com/RobertSamoilescu) in https://github.com/SeldonIO/MLServer/pull/1872
+* Re-generate License Info by [@github-actions](https://github.com/github-actions) in https://github.com/SeldonIO/MLServer/pull/1886
+* Feature/support existing environments by [@idlefella](https://github.com/idlefella) in https://github.com/SeldonIO/MLServer/pull/1891
+* Fix tensorflow upperbound macos by [@RobertSamoilescu](https://github.com/RobertSamoilescu) in https://github.com/SeldonIO/MLServer/pull/1901
+* ci: Merge change for release 1.6.1 by [@RobertSamoilescu](https://github.com/RobertSamoilescu) in https://github.com/SeldonIO/MLServer/pull/1902
+* Bump preflight to 1.10.0 by [@RobertSamoilescu](https://github.com/RobertSamoilescu) in https://github.com/SeldonIO/MLServer/pull/1903
+* ci: Merge change for release 1.6.1 [2] by [@RobertSamoilescu](https://github.com/RobertSamoilescu) in https://github.com/SeldonIO/MLServer/pull/1904
+
+## New Contributors
+* [@DerTiedemann](https://github.com/DerTiedemann) made their first contribution in https://github.com/SeldonIO/MLServer/pull/1622
+* [@idlefella](https://github.com/idlefella) made their first contribution in https://github.com/SeldonIO/MLServer/pull/1891
+
+**Full Changelog**: https://github.com/SeldonIO/MLServer/compare/1.6.0...1.6.1
+
+[Changes][1.6.1]
+
+
+<a name="1.6.0"></a>
+## [1.6.0](https://github.com/SeldonIO/MLServer/releases/tag/1.6.0) - 26 Jun 2024
+
+ ## Overview
+
+
+### Upgrades
+ MLServer supports Pydantic V2.
+
+### Features
+ MLServer supports streaming data to and from your models.
+
+ Streaming support is available for both the REST and gRPC servers:
+ * for the REST server is limited only to server streaming. This means that the client sends a single request to the server, and the server responds with a stream of data.
+ * for the gRPC server is available for both client and server streaming. This means that the client sends a stream of data to the server, and the server responds with a stream of data.
+
+ See our [docs](https://mlserver.readthedocs.io/en/1.6.0/user-guide/streaming.html) and [example](https://mlserver.readthedocs.io/en/1.6.0/examples/streaming/README.html) for more details.
+
+## What's Changed
+* fix(ci): fix typo in CI name by [@sakoush](https://github.com/sakoush) in https://github.com/SeldonIO/MLServer/pull/1623
+* Update CHANGELOG by [@github-actions](https://github.com/github-actions) in https://github.com/SeldonIO/MLServer/pull/1624
+* Re-generate License Info by [@github-actions](https://github.com/github-actions) in https://github.com/SeldonIO/MLServer/pull/1634
+* Fix mlserver_huggingface settings device type by [@geodavic](https://github.com/geodavic) in https://github.com/SeldonIO/MLServer/pull/1486
+* fix: Adjust HF tests post-merge of PR [#1486](https://github.com/SeldonIO/MLServer/issues/1486) by [@sakoush](https://github.com/sakoush) in https://github.com/SeldonIO/MLServer/pull/1635
+* Update README.md w licensing clarification by [@paulb-seldon](https://github.com/paulb-seldon) in https://github.com/SeldonIO/MLServer/pull/1636
+* Re-generate License Info by [@github-actions](https://github.com/github-actions) in https://github.com/SeldonIO/MLServer/pull/1642
+* fix(ci): optimise disk space for GH workers by [@sakoush](https://github.com/sakoush) in https://github.com/SeldonIO/MLServer/pull/1644
+* build: Update maintainers by [@jesse-c](https://github.com/jesse-c) in https://github.com/SeldonIO/MLServer/pull/1659
+* fix: Missing f-string directives by [@jesse-c](https://github.com/jesse-c) in https://github.com/SeldonIO/MLServer/pull/1677
+* build: Add Catboost runtime to Dependabot by [@jesse-c](https://github.com/jesse-c) in https://github.com/SeldonIO/MLServer/pull/1689
+* Fix JSON input shapes by [@ReveStobinson](https://github.com/ReveStobinson) in https://github.com/SeldonIO/MLServer/pull/1679
+* build(deps): bump alibi-detect from 0.11.5 to 0.12.0 by [@jesse-c](https://github.com/jesse-c) in https://github.com/SeldonIO/MLServer/pull/1702
+* build(deps): bump alibi from 0.9.5 to 0.9.6 by [@jesse-c](https://github.com/jesse-c) in https://github.com/SeldonIO/MLServer/pull/1704
+* Docs correction - Updated README.md in mlflow to match column names order by [@vivekk0903](https://github.com/vivekk0903) in https://github.com/SeldonIO/MLServer/pull/1703
+* fix(runtimes): Remove unused Pydantic dependencies by [@jesse-c](https://github.com/jesse-c) in https://github.com/SeldonIO/MLServer/pull/1725
+* test: Detect generate failures by [@jesse-c](https://github.com/jesse-c) in https://github.com/SeldonIO/MLServer/pull/1729
+* build: Add granularity in types generation by [@jesse-c](https://github.com/jesse-c) in https://github.com/SeldonIO/MLServer/pull/1749
+* Migrate to Pydantic v2 by [@jesse-c](https://github.com/jesse-c) in https://github.com/SeldonIO/MLServer/pull/1748
+* Re-generate License Info by [@github-actions](https://github.com/github-actions) in https://github.com/SeldonIO/MLServer/pull/1753
+* Revert "build(deps): bump uvicorn from 0.28.0 to 0.29.0" by [@jesse-c](https://github.com/jesse-c) in https://github.com/SeldonIO/MLServer/pull/1758
+* refactor(pydantic): Remaining migrations for deprecated functions by [@jesse-c](https://github.com/jesse-c) in https://github.com/SeldonIO/MLServer/pull/1757
+* Fixed openapi dataplane.yaml by [@RobertSamoilescu](https://github.com/RobertSamoilescu) in https://github.com/SeldonIO/MLServer/pull/1752
+* fix(pandas): Use Pydantic v2 compatible type by [@jesse-c](https://github.com/jesse-c) in https://github.com/SeldonIO/MLServer/pull/1760
+* Fix Pandas codec decoding from numpy arrays by [@lhnwrk](https://github.com/lhnwrk) in https://github.com/SeldonIO/MLServer/pull/1751
+* build: Bump versions for Read the Docs by [@jesse-c](https://github.com/jesse-c) in https://github.com/SeldonIO/MLServer/pull/1761
+* docs: Remove quotes around local TOC by [@jesse-c](https://github.com/jesse-c) in https://github.com/SeldonIO/MLServer/pull/1764
+* Spawn worker in custom environment by [@lhnwrk](https://github.com/lhnwrk) in https://github.com/SeldonIO/MLServer/pull/1739
+* Re-generate License Info by [@github-actions](https://github.com/github-actions) in https://github.com/SeldonIO/MLServer/pull/1767
+* basic contributing guide on contributing and opening a PR by [@bohemia420](https://github.com/bohemia420) in https://github.com/SeldonIO/MLServer/pull/1773
+* Inference streaming support by [@RobertSamoilescu](https://github.com/RobertSamoilescu) in https://github.com/SeldonIO/MLServer/pull/1750
+* Re-generate License Info by [@github-actions](https://github.com/github-actions) in https://github.com/SeldonIO/MLServer/pull/1779
+* build: Lock GitHub runners' OS by [@jesse-c](https://github.com/jesse-c) in https://github.com/SeldonIO/MLServer/pull/1765
+* Removed text-model form benchmarking by [@RobertSamoilescu](https://github.com/RobertSamoilescu) in https://github.com/SeldonIO/MLServer/pull/1790
+* Bumped mlflow to 2.13.1 and gunicorn to 22.0.0 by [@RobertSamoilescu](https://github.com/RobertSamoilescu) in https://github.com/SeldonIO/MLServer/pull/1791
+* Build(deps): Update to poetry version 1.8.3 in docker build by [@sakoush](https://github.com/sakoush) in https://github.com/SeldonIO/MLServer/pull/1792
+* Bumped werkzeug to 3.0.3 by [@RobertSamoilescu](https://github.com/RobertSamoilescu) in https://github.com/SeldonIO/MLServer/pull/1793
+* Docs streaming by [@RobertSamoilescu](https://github.com/RobertSamoilescu) in https://github.com/SeldonIO/MLServer/pull/1789
+* Bump uvicorn 0.30.1 by [@RobertSamoilescu](https://github.com/RobertSamoilescu) in https://github.com/SeldonIO/MLServer/pull/1795
+* Fixes for all-runtimes by [@RobertSamoilescu](https://github.com/RobertSamoilescu) in https://github.com/SeldonIO/MLServer/pull/1794
+* Fix BaseSettings import for pydantic v2 by [@RobertSamoilescu](https://github.com/RobertSamoilescu) in https://github.com/SeldonIO/MLServer/pull/1798
+* Bumped preflight version to 1.9.7 by [@RobertSamoilescu](https://github.com/RobertSamoilescu) in https://github.com/SeldonIO/MLServer/pull/1797
+* build: Install dependencies only in Tox environments by [@jesse-c](https://github.com/jesse-c) in https://github.com/SeldonIO/MLServer/pull/1785
+* Bumped to 1.6.0.dev2 by [@RobertSamoilescu](https://github.com/RobertSamoilescu) in https://github.com/SeldonIO/MLServer/pull/1803
+* Fix CI/CD macos-huggingface by [@RobertSamoilescu](https://github.com/RobertSamoilescu) in https://github.com/SeldonIO/MLServer/pull/1805
+* Fixed macos kafka CI by [@RobertSamoilescu](https://github.com/RobertSamoilescu) in https://github.com/SeldonIO/MLServer/pull/1807
+* Update poetry lock by [@RobertSamoilescu](https://github.com/RobertSamoilescu) in https://github.com/SeldonIO/MLServer/pull/1808
+* Re-generate License Info by [@github-actions](https://github.com/github-actions) in https://github.com/SeldonIO/MLServer/pull/1813
+* Fix/macos all runtimes by [@RobertSamoilescu](https://github.com/RobertSamoilescu) in https://github.com/SeldonIO/MLServer/pull/1823
+* fix: Update stale reviewer in licenses.yml workflow by [@sakoush](https://github.com/sakoush) in https://github.com/SeldonIO/MLServer/pull/1824
+* ci: Merge changes from master to release branch by [@sakoush](https://github.com/sakoush) in https://github.com/SeldonIO/MLServer/pull/1825
+
+## New Contributors
+* [@paulb-seldon](https://github.com/paulb-seldon) made their first contribution in https://github.com/SeldonIO/MLServer/pull/1636
+* [@ReveStobinson](https://github.com/ReveStobinson) made their first contribution in https://github.com/SeldonIO/MLServer/pull/1679
+* [@vivekk0903](https://github.com/vivekk0903) made their first contribution in https://github.com/SeldonIO/MLServer/pull/1703
+* [@RobertSamoilescu](https://github.com/RobertSamoilescu) made their first contribution in https://github.com/SeldonIO/MLServer/pull/1752
+* [@lhnwrk](https://github.com/lhnwrk) made their first contribution in https://github.com/SeldonIO/MLServer/pull/1751
+* [@bohemia420](https://github.com/bohemia420) made their first contribution in https://github.com/SeldonIO/MLServer/pull/1773
+
+**Full Changelog**: https://github.com/SeldonIO/MLServer/compare/1.5.0...1.6.0
+
+[Changes][1.6.0]
+
+
<a name="1.5.0"></a>
## [1.5.0](https://github.com/SeldonIO/MLServer/releases/tag/1.5.0) - 05 Mar 2024
-<!-- Release notes generated using configuration in .github/release.yml at 1.5.0 -->
-
## What's Changed
* Update CHANGELOG by [@github-actions](https://github.com/github-actions) in https://github.com/SeldonIO/MLServer/pull/1592
@@ -427,6 +550,8 @@ To learn more about how to use MLServer directly from the MLflow CLI, check out
[Changes][1.1.0]
+[1.6.1]: https://github.com/SeldonIO/MLServer/compare/1.6.0...1.6.1
+[1.6.0]: https://github.com/SeldonIO/MLServer/compare/1.5.0...1.6.0
[1.5.0]: https://github.com/SeldonIO/MLServer/compare/1.4.0...1.5.0
[1.4.0]: https://github.com/SeldonIO/MLServer/compare/1.3.5...1.4.0
[1.3.5]: https://github.com/SeldonIO/MLServer/compare/1.3.4...1.3.5
diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md
index 90ae74471..2237d4dfc 100644
--- a/CONTRIBUTING.md
+++ b/CONTRIBUTING.md
@@ -1,5 +1,29 @@
# Contributing to MLServer
+Opening a PR
+------------
+* Fork the repository from `SeldonIO` into local Github account.
+* create a branch from the master of the forked repository.<br> `git checkout -b <branch>`.
+<br> branches can be named as `bug|feat|doc|`_`<desc>`_`<optional params>`
+* make changes, and raise a PR from local repository `<branch>` to main repository `master`.
+* make sure that your branch is always uptodate (you may use rebase to resolve conflicts) with **SeldonIO/MLServer** `master` branch. <br>
+```bash
+ git remote add upstream https://github.com/SeldonIO/MLServer.git
+ git fetch upstream
+ git checkout <your_branch_name>
+ git rebase upstream/master
+```
+
+Installation for Contributing
+------------
+- git clone the forked repository: <br>`git clone <your-repo>/MLServer <your-folder>`
+- setup `mlserver`: ```pip install .```
+- run examples in debugging mode and verify execution taking one to breakpoints in one's development branch
+
+Raising a PR
+------------
+- Choose a default PR template/templates available underneath `/docs/PULL_REQUEST_TEMPLATE/` as a `template` query param.
+
_Before opening a pull request_ consider:
- Is the change important and ready enough to ask the community to spend time reviewing?
diff --git a/Dockerfile b/Dockerfile
index 1742016b2..fb11131ba 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -1,7 +1,7 @@
FROM python:3.10-slim AS wheel-builder
SHELL ["/bin/bash", "-l", "-c"]
-ARG POETRY_VERSION="1.8.1"
+ARG POETRY_VERSION="1.8.3"
COPY ./hack/build-wheels.sh ./hack/build-wheels.sh
COPY ./mlserver ./mlserver
diff --git a/Makefile b/Makefile
index cd4d03a15..45d3a53e8 100644
--- a/Makefile
+++ b/Makefile
@@ -5,6 +5,14 @@ IMAGE_NAME := seldonio/mlserver
.PHONY: install-dev _generate generate run build \
push-test push test lint fmt version clean licenses
+.PHONY: bootstrap-test
+bootstrap-test:
+ for _runtime in ./runtimes/*; \
+ do \
+ echo "Copying Tox configuration to $$_runtime..."; \
+ cp tox.runtime.ini $$_runtime/tox.ini; \
+ done
+
install-dev:
poetry install --sync --with all-runtimes --with all-runtimes-dev
@@ -17,10 +25,17 @@ lock:
poetry lock --no-update -C $$_runtime; \
done
-_generate: # "private" target to call `fmt` after `generate`
- poetry run bash ./hack/generate-types.sh
+_generate_model_repository: # "private" target to call `fmt` after `generate`
+ poetry run bash ./hack/generate-types.sh model_repository
+
+_generate_dataplane: # "private" target to call `fmt` after `generate`
+ poetry run bash ./hack/generate-types.sh dataplane
-generate: | _generate fmt
+generate-model-repository: | _generate_model_repository fmt
+
+generate-dataplane: | _generate_dataplane fmt
+
+generate: | _generate_model_repository _generate_dataplane fmt
run:
mlserver start \
@@ -67,7 +82,7 @@ test:
tox -c $$_runtime; \
done
-lint: generate
+lint:
black --check .
flake8 .
mypy ./mlserver
@@ -77,12 +92,15 @@ lint: generate
done
mypy ./benchmarking
mypy ./docs/examples
- # Check if something has changed after generation
+
+lint-no-changes:
git \
--no-pager diff \
--exit-code \
.
+lint-generate: generate lint-no-changes
+
licenses:
tox --recreate -e licenses
cut -d, -f1,3 ./licenses/license_info.csv \
diff --git a/benchmarking/generator.py b/benchmarking/generator.py
index 1e11eb8d4..452978ee5 100644
--- a/benchmarking/generator.py
+++ b/benchmarking/generator.py
@@ -31,7 +31,7 @@ def generate_test_requests() -> List[types.InferenceRequest]:
name="input-0",
shape=[contents_len],
datatype="FP32",
- data=types.TensorData.parse_obj(inputs.tolist()),
+ data=types.TensorData.model_validate(inputs.tolist()),
)
]
)
@@ -69,10 +69,10 @@ def save_grpc_requests(requests: List[types.InferenceRequest]):
def save_rest_requests(requests: List[types.InferenceRequest]):
- # infer_requests_dict = [req.dict() for req in requests]
+ # infer_requests_dict = [req.model_dump() for req in requests]
# wrk doesn't work with multiple payloads, so take the smallest one.
# We should consider moving to locust or vegeta.
- infer_requests_dict = requests[0].dict()
+ infer_requests_dict = requests[0].model_dump()
requests_file_path = os.path.join(DATA_PATH, "rest-requests.json")
with open(requests_file_path, "w") as requests_file:
json.dump(infer_requests_dict, requests_file)
diff --git a/docs/Makefile b/docs/Makefile
index b0ced4504..8ea687fb8 100755
--- a/docs/Makefile
+++ b/docs/Makefile
@@ -20,7 +20,7 @@ help:
@$(SPHINXBUILD) -M $@ "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O)
start:
- sphinx-autobuild . ./_build/html
+ poetry run sphinx-autobuild . ./_build/html
install-dev:
poetry install -C .. --with docs --with all-runtimes --with all-runtimes-dev
diff --git a/docs/PULL_REQUEST_TEMPLATE/pull_request_template.md b/docs/PULL_REQUEST_TEMPLATE/pull_request_template.md
new file mode 100644
index 000000000..d33cfade8
--- /dev/null
+++ b/docs/PULL_REQUEST_TEMPLATE/pull_request_template.md
@@ -0,0 +1,26 @@
+# Pull Request
+
+## Description
+<!-- Provide a brief description of the purpose of this pull request -->
+
+## Changes Made
+<!-- Describe the changes introduced by this pull request -->
+
+## Related Issues
+<!-- Mention any related issues or tickets that are being addressed by this pull request -->
+
+## Screenshots (if applicable)
+<!-- Add screenshots or images to visually represent the changes, if applicable -->
+
+## Checklist
+<!-- Make sure to check the items below before submitting your pull request -->
+
+- [ ] Code follows the project's style guidelines
+- [ ] All tests related to the changes pass successfully
+- [ ] Documentation is updated (if necessary)
+- [ ] Code is reviewed by at least one other team member
+- [ ] Any breaking changes are communicated and documented
+
+## Additional Notes
+<!-- Add any additional notes or context that may be helpful for reviewers -->
+
diff --git a/docs/conf.py b/docs/conf.py
index 8d6b2c072..52a1d6e20 100755
--- a/docs/conf.py
+++ b/docs/conf.py
@@ -19,12 +19,12 @@
import sphinx_material
project = "MLServer"
-copyright = "2023, Seldon Technologies"
+copyright = "2024, Seldon Technologies"
html_title = "MLServer Documentation"
author = "Seldon Technologies"
# The full version, including alpha/beta/rc tags
-release = "1.5.0.dev1"
+release = "1.6.0.dev2"
# -- General configuration ---------------------------------------------------
@@ -83,6 +83,7 @@
"globaltoc_depth": 4,
"globaltoc_collapse": True,
"globaltoc_includehidden": True,
+ "localtoc_label_text": "Contents",
"repo_type": "github",
"nav_links": [
{
diff --git a/docs/examples/cassava/model/requirements.txt b/docs/examples/cassava/model/requirements.txt
index 90ee3a919..c7015344e 100644
--- a/docs/examples/cassava/model/requirements.txt
+++ b/docs/examples/cassava/model/requirements.txt
@@ -1,2 +1,2 @@
-tensorflow==2.12.0
+tensorflow==2.12.1
tensorflow-hub==0.13.0
diff --git a/docs/examples/cassava/requirements.txt b/docs/examples/cassava/requirements.txt
index ea98fb42b..a27eb2ede 100644
--- a/docs/examples/cassava/requirements.txt
+++ b/docs/examples/cassava/requirements.txt
@@ -1,3 +1,3 @@
mlserver==1.3.2
-tensorflow==2.12.0
+tensorflow==2.12.1
tensorflow-hub==0.13.0
diff --git a/docs/examples/cassava/test.py b/docs/examples/cassava/test.py
index 93c40abfd..0a6eeb6ca 100644
--- a/docs/examples/cassava/test.py
+++ b/docs/examples/cassava/test.py
@@ -50,7 +50,7 @@
# Send the inference request and capture response
print("Sending Inference Request...")
-res = requests.post(inference_url, json=inference_request.dict())
+res = requests.post(inference_url, json=inference_request.model_dump())
print("Got Response...")
# Parse the JSON string into a Python dictionary
diff --git a/docs/examples/content-type/README.ipynb b/docs/examples/content-type/README.ipynb
index bf2e21579..ff6209f14 100644
--- a/docs/examples/content-type/README.ipynb
+++ b/docs/examples/content-type/README.ipynb
@@ -203,7 +203,7 @@
"\n",
"response = requests.post(\n",
" \"http://localhost:8080/v2/models/content-type-example/infer\",\n",
- " json=payload.dict()\n",
+ " json=payload.model_dump()\n",
")\n",
"\n",
"response_payload = InferenceResponse.parse_raw(response.text)\n",
@@ -373,7 +373,7 @@
" image_array = super().decode_input(input_or_output) # type: ignore\n",
" return Image.fromarray(image_array, mode=cls.DefaultMode)\n",
"\n",
- " encoded = input_or_output.data.__root__\n",
+ " encoded = input_or_output.data\n",
" if isinstance(encoded, str):\n",
" encoded = encoded.encode()\n",
"\n",
diff --git a/docs/examples/content-type/README.md b/docs/examples/content-type/README.md
index 0ad8aa8af..cd905cf3c 100644
--- a/docs/examples/content-type/README.md
+++ b/docs/examples/content-type/README.md
@@ -37,7 +37,7 @@ class EchoRuntime(MLModel):
print(json.dumps(as_dict, indent=2))
print(f"------ Decoded input ({request_input.name}) ------")
print(decoded_input)
-
+
outputs.append(
ResponseOutput(
name=request_input.name,
@@ -46,9 +46,9 @@ class EchoRuntime(MLModel):
data=request_input.data
)
)
-
+
return InferenceResponse(model_name=self.name, outputs=outputs)
-
+
```
As you can see above, this runtime will decode the incoming payloads by calling the `self.decode()` helper method.
@@ -146,7 +146,7 @@ payload = InferenceRequest(
response = requests.post(
"http://localhost:8080/v2/models/content-type-example/infer",
- json=payload.dict()
+ json=payload.model_dump()
)
response_payload = InferenceResponse.parse_raw(response.text)
@@ -271,7 +271,7 @@ class PillowCodec(NumpyCodec):
image_array = super().decode_input(input_or_output) # type: ignore
return Image.fromarray(image_array, mode=cls.DefaultMode)
- encoded = input_or_output.data.__root__
+ encoded = input_or_output.data
if isinstance(encoded, str):
encoded = encoded.encode()
@@ -418,7 +418,7 @@ class EchoRuntime(MLModel):
if payload.parameters:
decoded_request = getattr(payload.parameters, DecodedParameterName)
print(decoded_request)
-
+
outputs = []
for request_input in payload.inputs:
outputs.append(
@@ -429,9 +429,9 @@ class EchoRuntime(MLModel):
data=request_input.data
)
)
-
+
return InferenceResponse(model_name=self.name, outputs=outputs)
-
+
```
We should now be able to restart our instance of MLServer (i.e. with the `mlserver start .` command), to send a few test requests.
diff --git a/docs/examples/content-type/runtime.py b/docs/examples/content-type/runtime.py
index 2ab44001e..5e3d98985 100644
--- a/docs/examples/content-type/runtime.py
+++ b/docs/examples/content-type/runtime.py
@@ -10,7 +10,7 @@
RequestInput,
ResponseOutput,
)
-from mlserver.codecs import NumpyCodec, register_input_codec, DecodedParameterName
+from mlserver.codecs import InputCodec, register_input_codec, DecodedParameterName
from mlserver.codecs.utils import InputOrOutput
@@ -21,22 +21,22 @@
@register_input_codec
-class PillowCodec(NumpyCodec):
+class PillowCodec(InputCodec):
ContentType = "img"
DefaultMode = "L"
@classmethod
- def can_encode(cls, payload: Image) -> bool:
- return isinstance(payload, Image)
+ def can_encode(cls, payload: Image.Image) -> bool:
+ return isinstance(payload, Image.Image)
@classmethod
- def _decode(cls, input_or_output: InputOrOutput) -> Image:
+ def _decode(cls, input_or_output: InputOrOutput) -> Image.Image:
if input_or_output.datatype != "BYTES":
# If not bytes, assume it's an array
image_array = super().decode_input(input_or_output) # type: ignore
return Image.fromarray(image_array, mode=cls.DefaultMode)
- encoded = input_or_output.data.__root__
+ encoded = input_or_output.data
if isinstance(encoded, str):
encoded = encoded.encode()
@@ -45,7 +45,11 @@ def _decode(cls, input_or_output: InputOrOutput) -> Image:
)
@classmethod
- def encode_output(cls, name: str, payload: Image) -> ResponseOutput: # type: ignore
+ def encode_output( # type: ignore
+ cls,
+ name: str,
+ payload: Image.Image,
+ ) -> ResponseOutput: # type: ignore
byte_array = io.BytesIO()
payload.save(byte_array, mode=cls.DefaultMode)
@@ -54,11 +58,15 @@ def encode_output(cls, name: str, payload: Image) -> ResponseOutput: # type: ig
)
@classmethod
- def decode_output(cls, response_output: ResponseOutput) -> Image:
+ def decode_output(cls, response_output: ResponseOutput) -> Image.Image:
return cls._decode(response_output)
@classmethod
- def encode_input(cls, name: str, payload: Image) -> RequestInput: # type: ignore
+ def encode_input( # type: ignore
+ cls,
+ name: str,
+ payload: Image.Image,
+ ) -> RequestInput: # type: ignore
output = cls.encode_output(name, payload)
return RequestInput(
name=output.name,
@@ -68,7 +76,7 @@ def encode_input(cls, name: str, payload: Image) -> RequestInput: # type: ignor
)
@classmethod
- def decode_input(cls, request_input: RequestInput) -> Image:
+ def decode_input(cls, request_input: RequestInput) -> Image.Image:
return cls._decode(request_input)
diff --git a/docs/examples/custom/README.ipynb b/docs/examples/custom/README.ipynb
index 5d1cea3ab..ed47008f9 100644
--- a/docs/examples/custom/README.ipynb
+++ b/docs/examples/custom/README.ipynb
@@ -311,7 +311,7 @@
")\n",
"\n",
"endpoint = \"http://localhost:8080/v2/models/numpyro-divorce/infer\"\n",
- "response = requests.post(endpoint, json=inference_request.dict())\n",
+ "response = requests.post(endpoint, json=inference_request.model_dump())\n",
"\n",
"response.json()"
]
@@ -411,7 +411,7 @@
")\n",
"\n",
"endpoint = \"http://localhost:8080/v2/models/numpyro-divorce/infer\"\n",
- "response = requests.post(endpoint, json=inference_request.dict())\n",
+ "response = requests.post(endpoint, json=inference_request.model_dump())\n",
"\n",
"response.json()"
]
diff --git a/docs/examples/custom/README.md b/docs/examples/custom/README.md
index 3294926c1..4bf01139b 100644
--- a/docs/examples/custom/README.md
+++ b/docs/examples/custom/README.md
@@ -226,7 +226,7 @@ inference_request = InferenceRequest(
)
endpoint = "http://localhost:8080/v2/models/numpyro-divorce/infer"
-response = requests.post(endpoint, json=inference_request.dict())
+response = requests.post(endpoint, json=inference_request.model_dump())
response.json()
```
@@ -285,7 +285,7 @@ inference_request = InferenceRequest(
)
endpoint = "http://localhost:8080/v2/models/numpyro-divorce/infer"
-response = requests.post(endpoint, json=inference_request.dict())
+response = requests.post(endpoint, json=inference_request.model_dump())
response.json()
```
diff --git a/docs/examples/index.md b/docs/examples/index.md
index ea4d75000..a818ff76f 100644
--- a/docs/examples/index.md
+++ b/docs/examples/index.md
@@ -49,6 +49,7 @@ serving), check out the examples below.
- [Custom Conda environment](./conda/README.md)
- [Serving custom models requiring JSON inputs or outputs](./custom-json/README.md)
- [Serving models through Kafka](./kafka/README.md)
+- [Streaming inference](./streaming/README.md)
```{toctree}
:caption: MLServer Features
@@ -61,6 +62,7 @@ serving), check out the examples below.
./conda/README.md
./custom-json/README.md
./kafka/README.md
+./streaming/README.md
```
## Tutorials
diff --git a/docs/examples/mlflow/README.md b/docs/examples/mlflow/README.md
index ef9e30666..06cb6724a 100644
--- a/docs/examples/mlflow/README.md
+++ b/docs/examples/mlflow/README.md
@@ -290,17 +290,17 @@ import requests
inference_request = {
"dataframe_split": {
"columns": [
- "alcohol",
- "chlorides",
- "citric acid",
- "density",
"fixed acidity",
+ "volatile acidity",
+ "citric acid",
+ "residual sugar",
+ "chlorides",
"free sulfur dioxide",
+ "total sulfur dioxide",
+ "density",
"pH",
- "residual sugar",
"sulphates",
- "total sulfur dioxide",
- "volatile acidity",
+ "alcohol",
],
"data": [[7.4,0.7,0,1.9,0.076,11,34,0.9978,3.51,0.56,9.4]]
}
diff --git a/docs/examples/streaming/README.ipynb b/docs/examples/streaming/README.ipynb
new file mode 100644
index 000000000..13755c6d9
--- /dev/null
+++ b/docs/examples/streaming/README.ipynb
@@ -0,0 +1,388 @@
+{
+ "cells": [
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "# Streaming support\n",
+ "\n",
+ "The `mlserver` package comes with built-in support for streaming data. This allows you to process data in real-time, without having to wait for the entire response to be available. It supports both REST and gRPC APIs."
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## Overview\n",
+ "\n",
+ "In this example, we create a simple `Identity Text Model` which simply splits the input text into words and returns them one by one. We will use this model to demonstrate how to stream the response from the server to the client. This particular example can provide a good starting point for building more complex streaming models such as the ones based on Large Language Models (LLMs) where streaming is an essential feature to hide the latency of the model."
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## Serving\n",
+ "\n",
+ "The next step will be to serve our model using `mlserver`. For that, we will first implement an extension that serves as the runtime to perform inference using our custom `TextModel`."
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "### Custom inference runtime\n",
+ "\n",
+ "This is a trivial model to demonstrate streaming support. The model simply splits the input text into words and returns them one by one. In this example we do the following:\n",
+ "\n",
+ "- split the text into words using the white space as the delimiter.\n",
+ "- wait 0.5 seconds between each word to simulate a slow model.\n",
+ "- return each word one by one."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 1,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Overwriting text_model.py\n"
+ ]
+ }
+ ],
+ "source": [
+ "%%writefile text_model.py\n",
+ "\n",
+ "import asyncio\n",
+ "from typing import AsyncIterator\n",
+ "from mlserver import MLModel\n",
+ "from mlserver.types import InferenceRequest, InferenceResponse\n",
+ "from mlserver.codecs import StringCodec\n",
+ "\n",
+ "\n",
+ "class TextModel(MLModel):\n",
+ "\n",
+ " async def predict_stream(\n",
+ " self, payloads: AsyncIterator[InferenceRequest]\n",
+ " ) -> AsyncIterator[InferenceResponse]:\n",
+ " payload = [_ async for _ in payloads][0]\n",
+ " text = StringCodec.decode_input(payload.inputs[0])[0]\n",
+ " words = text.split(\" \")\n",
+ "\n",
+ " split_text = []\n",
+ " for i, word in enumerate(words):\n",
+ " split_text.append(word if i == 0 else \" \" + word)\n",
+ "\n",
+ " for word in split_text:\n",
+ " await asyncio.sleep(0.5)\n",
+ " yield InferenceResponse(\n",
+ " model_name=self._settings.name,\n",
+ " outputs=[\n",
+ " StringCodec.encode_output(\n",
+ " name=\"output\",\n",
+ " payload=[word],\n",
+ " use_bytes=True,\n",
+ " ),\n",
+ " ],\n",
+ " )\n"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "As it can be seen, the `predict_stream` method receives as an input an `AsyncIterator` of `InferenceRequest` and returns an `AsyncIterator` of `InferenceResponse`. This definition covers all types of possible input-output combinations for streaming: unary-stream, stream-unary, stream-stream. It is up to the client and server to send/receive the appropriate number of requests/responses which should be known apriori.\n",
+ "\n",
+ "Note that although unary-unary can be covered by `predict_stream` method as well, `mlserver` already covers that through the `predict` method.\n",
+ "\n",
+ "One important limitation to keep in mind is that for the REST API, the client will not be able to send a stream of requests. The client will have to send a single request with the entire input text. The server will then stream the response back to the client. gRPC API, on the other hand, supports all types of streaming listed above."
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "### Settings file\n",
+ "\n",
+ "The next step will be to create 2 configuration files:\n",
+ "- `settings.json`: holds the configuration of our server (e.g. ports, log level, etc.).\n",
+ "- `model-settings.json`: holds the configuration of our model (e.g. input type, runtime to use, etc.)."
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "#### settings.json"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 2,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Overwriting settings.json\n"
+ ]
+ }
+ ],
+ "source": [
+ "%%writefile settings.json\n",
+ "\n",
+ "{\n",
+ " \"debug\": false,\n",
+ " \"parallel_workers\": 0,\n",
+ " \"gzip_enabled\": false\n",
+ "}\n"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Note the currently there are three main limitations of the streaming support in MLServer:\n",
+ "\n",
+ "- distributed workers are not supported (i.e., the `parallel_workers` setting should be set to `0`)\n",
+ "- `gzip` middleware is not supported for REST (i.e., `gzip_enabled` setting should be set to `false`)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "#### model-settings.json"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 3,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Overwriting model-settings.json\n"
+ ]
+ }
+ ],
+ "source": [
+ "%%writefile model-settings.json\n",
+ "\n",
+ "{\n",
+ " \"name\": \"text-model\",\n",
+ "\n",
+ " \"implementation\": \"text_model.TextModel\",\n",
+ " \n",
+ " \"versions\": [\"text-model/v1.2.3\"],\n",
+ " \"platform\": \"mlserver\",\n",
+ " \"inputs\": [\n",
+ " {\n",
+ " \"datatype\": \"BYTES\",\n",
+ " \"name\": \"prompt\",\n",
+ " \"shape\": [1]\n",
+ " }\n",
+ " ],\n",
+ " \"outputs\": [\n",
+ " {\n",
+ " \"datatype\": \"BYTES\",\n",
+ " \"name\": \"output\",\n",
+ " \"shape\": [1]\n",
+ " }\n",
+ " ]\n",
+ "}"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "#### Start serving the model\n",
+ "\n",
+ "Now that we have our config in-place, we can start the server by running `mlserver start .`. This needs to either be run from the same directory where our config files are or point to the folder where they are.\n",
+ "\n",
+ "```bash\n",
+ "mlserver start .\n",
+ "```\n",
+ "\n",
+ "Since this command will start the server and block the terminal, waiting for requests, this will need to be run in the background on a separate terminal."
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "#### Inference request\n",
+ "\n",
+ "To test our model, we will use the following inference request:"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 4,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Overwriting generate-request.json\n"
+ ]
+ }
+ ],
+ "source": [
+ "%%writefile generate-request.json\n",
+ "\n",
+ "{\n",
+ " \"inputs\": [\n",
+ " {\n",
+ " \"name\": \"prompt\",\n",
+ " \"shape\": [1],\n",
+ " \"datatype\": \"BYTES\",\n",
+ " \"data\": [\"What is the capital of France?\"],\n",
+ " \"parameters\": {\n",
+ " \"content_type\": \"str\"\n",
+ " }\n",
+ " }\n",
+ " ],\n",
+ " \"outputs\": [\n",
+ " {\n",
+ " \"name\": \"output\"\n",
+ " }\n",
+ " ]\n",
+ "}"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "### Send test generate stream request (REST)\n",
+ "\n",
+ "To send a REST streaming request to the server, we will use the following Python code:"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 5,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "['What']\n",
+ "[' is']\n",
+ "[' the']\n",
+ "[' capital']\n",
+ "[' of']\n",
+ "[' France?']\n"
+ ]
+ }
+ ],
+ "source": [
+ "import httpx\n",
+ "from httpx_sse import connect_sse\n",
+ "from mlserver import types\n",
+ "from mlserver.codecs import StringCodec\n",
+ "\n",
+ "inference_request = types.InferenceRequest.parse_file(\"./generate-request.json\")\n",
+ "\n",
+ "with httpx.Client() as client:\n",
+ " with connect_sse(client, \"POST\", \"http://localhost:8080/v2/models/text-model/generate_stream\", json=inference_request.dict()) as event_source:\n",
+ " for sse in event_source.iter_sse():\n",
+ " response = types.InferenceResponse.parse_raw(sse.data)\n",
+ " print(StringCodec.decode_output(response.outputs[0]))\n"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "### Send test generate stream request (gRPC)\n",
+ "\n",
+ "To send a gRPC streaming request to the server, we will use the following Python code:"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 6,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "['What']\n",
+ "[' is']\n",
+ "[' the']\n",
+ "[' capital']\n",
+ "[' of']\n",
+ "[' France?']\n"
+ ]
+ }
+ ],
+ "source": [
+ "import grpc\n",
+ "import mlserver.types as types\n",
+ "from mlserver.codecs import StringCodec\n",
+ "from mlserver.grpc.converters import ModelInferResponseConverter\n",
+ "import mlserver.grpc.converters as converters\n",
+ "import mlserver.grpc.dataplane_pb2_grpc as dataplane\n",
+ "\n",
+ "inference_request = types.InferenceRequest.parse_file(\"./generate-request.json\")\n",
+ "\n",
+ "# need to convert from string to bytes for grpc\n",
+ "inference_request.inputs[0] = StringCodec.encode_input(\"prompt\", inference_request.inputs[0].data.root)\n",
+ "inference_request_g = converters.ModelInferRequestConverter.from_types(\n",
+ " inference_request, model_name=\"text-model\", model_version=None\n",
+ ")\n",
+ "\n",
+ "async def get_inference_request_stream(inference_request):\n",
+ " yield inference_request\n",
+ "\n",
+ "async with grpc.aio.insecure_channel(\"localhost:8081\") as grpc_channel:\n",
+ " grpc_stub = dataplane.GRPCInferenceServiceStub(grpc_channel)\n",
+ " inference_request_stream = get_inference_request_stream(inference_request_g)\n",
+ " \n",
+ " async for response in grpc_stub.ModelStreamInfer(inference_request_stream):\n",
+ " response = ModelInferResponseConverter.to_types(response)\n",
+ " print(StringCodec.decode_output(response.outputs[0]))"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Note that for gRPC, the request is transformed into an async generator which is then passed to the `ModelStreamInfer` method. The response is also an async generator which can be iterated over to get the response."
+ ]
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "python3.10",
+ "language": "python",
+ "name": "python3"
+ },
+ "language_info": {
+ "codemirror_mode": {
+ "name": "ipython",
+ "version": 3
+ },
+ "file_extension": ".py",
+ "mimetype": "text/x-python",
+ "name": "python",
+ "nbconvert_exporter": "python",
+ "pygments_lexer": "ipython3",
+ "version": "3.10.12"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/docs/examples/streaming/README.md b/docs/examples/streaming/README.md
new file mode 100644
index 000000000..d91aa7492
--- /dev/null
+++ b/docs/examples/streaming/README.md
@@ -0,0 +1,213 @@
+# Streaming support
+
+The `mlserver` package comes with built-in support for streaming data. This allows you to process data in real-time, without having to wait for the entire response to be available. It supports both REST and gRPC APIs.
+
+## Overview
+
+In this example, we create a simple `Identity Text Model` which simply splits the input text into words and returns them one by one. We will use this model to demonstrate how to stream the response from the server to the client. This particular example can provide a good starting point for building more complex streaming models such as the ones based on Large Language Models (LLMs) where streaming is an essential feature to hide the latency of the model.
+
+## Serving
+
+The next step will be to serve our model using `mlserver`. For that, we will first implement an extension that serves as the runtime to perform inference using our custom `TextModel`.
+
+### Custom inference runtime
+
+This is a trivial model to demonstrate streaming support. The model simply splits the input text into words and returns them one by one. In this example we do the following:
+
+- split the text into words using the white space as the delimiter.
+- wait 0.5 seconds between each word to simulate a slow model.
+- return each word one by one.
+
+
+```python
+%%writefile text_model.py
+
+import asyncio
+from typing import AsyncIterator
+from mlserver import MLModel
+from mlserver.types import InferenceRequest, InferenceResponse
+from mlserver.codecs import StringCodec
+
+
+class TextModel(MLModel):
+
+ async def predict_stream(
+ self, payloads: AsyncIterator[InferenceRequest]
+ ) -> AsyncIterator[InferenceResponse]:
+ payload = [_ async for _ in payloads][0]
+ text = StringCodec.decode_input(payload.inputs[0])[0]
+ words = text.split(" ")
+
+ split_text = []
+ for i, word in enumerate(words):
+ split_text.append(word if i == 0 else " " + word)
+
+ for word in split_text:
+ await asyncio.sleep(0.5)
+ yield InferenceResponse(
+ model_name=self._settings.name,
+ outputs=[
+ StringCodec.encode_output(
+ name="output",
+ payload=[word],
+ use_bytes=True,
+ ),
+ ],
+ )
+
+```
+
+As it can be seen, the `predict_stream` method receives as an input an `AsyncIterator` of `InferenceRequest` and returns an `AsyncIterator` of `InferenceResponse`. This definition covers all types of possible input-output combinations for streaming: unary-stream, stream-unary, stream-stream. It is up to the client and server to send/receive the appropriate number of requests/responses which should be known apriori.
+
+Note that although unary-unary can be covered by `predict_stream` method as well, `mlserver` already covers that through the `predict` method.
+
+One important limitation to keep in mind is that for the REST API, the client will not be able to send a stream of requests. The client will have to send a single request with the entire input text. The server will then stream the response back to the client. gRPC API, on the other hand, supports all types of streaming listed above.
+
+### Settings file
+
+The next step will be to create 2 configuration files:
+- `settings.json`: holds the configuration of our server (e.g. ports, log level, etc.).
+- `model-settings.json`: holds the configuration of our model (e.g. input type, runtime to use, etc.).
+
+#### settings.json
+
+
+```python
+%%writefile settings.json
+
+{
+ "debug": false,
+ "parallel_workers": 0,
+ "gzip_enabled": false
+}
+
+```
+
+Note the currently there are three main limitations of the streaming support in MLServer:
+
+- distributed workers are not supported (i.e., the `parallel_workers` setting should be set to `0`)
+- `gzip` middleware is not supported for REST (i.e., `gzip_enabled` setting should be set to `false`)
+
+#### model-settings.json
+
+
+```python
+%%writefile model-settings.json
+
+{
+ "name": "text-model",
+
+ "implementation": "text_model.TextModel",
+
+ "versions": ["text-model/v1.2.3"],
+ "platform": "mlserver",
+ "inputs": [
+ {
+ "datatype": "BYTES",
+ "name": "prompt",
+ "shape": [1]
+ }
+ ],
+ "outputs": [
+ {
+ "datatype": "BYTES",
+ "name": "output",
+ "shape": [1]
+ }
+ ]
+}
+```
+
+#### Start serving the model
+
+Now that we have our config in-place, we can start the server by running `mlserver start .`. This needs to either be run from the same directory where our config files are or point to the folder where they are.
+
+```bash
+mlserver start .
+```
+
+Since this command will start the server and block the terminal, waiting for requests, this will need to be run in the background on a separate terminal.
+
+#### Inference request
+
+To test our model, we will use the following inference request:
+
+
+```python
+%%writefile generate-request.json
+
+{
+ "inputs": [
+ {
+ "name": "prompt",
+ "shape": [1],
+ "datatype": "BYTES",
+ "data": ["What is the capital of France?"],
+ "parameters": {
+ "content_type": "str"
+ }
+ }
+ ],
+ "outputs": [
+ {
+ "name": "output"
+ }
+ ]
+}
+```
+
+### Send test generate stream request (REST)
+
+To send a REST streaming request to the server, we will use the following Python code:
+
+
+```python
+import httpx
+from httpx_sse import connect_sse
+from mlserver import types
+from mlserver.codecs import StringCodec
+
+inference_request = types.InferenceRequest.parse_file("./generate-request.json")
+
+with httpx.Client() as client:
+ with connect_sse(client, "POST", "http://localhost:8080/v2/models/text-model/generate_stream", json=inference_request.dict()) as event_source:
+ for sse in event_source.iter_sse():
+ response = types.InferenceResponse.parse_raw(sse.data)
+ print(StringCodec.decode_output(response.outputs[0]))
+
+```
+
+### Send test generate stream request (gRPC)
+
+To send a gRPC streaming request to the server, we will use the following Python code:
+
+
+```python
+import grpc
+import mlserver.types as types
+from mlserver.codecs import StringCodec
+from mlserver.grpc.converters import ModelInferResponseConverter
+import mlserver.grpc.converters as converters
+import mlserver.grpc.dataplane_pb2_grpc as dataplane
+
+inference_request = types.InferenceRequest.parse_file("./generate-request.json")
+
+# need to convert from string to bytes for grpc
+inference_request.inputs[0] = StringCodec.encode_input("prompt", inference_request.inputs[0].data.root)
+inference_request_g = converters.ModelInferRequestConverter.from_types(
+ inference_request, model_name="text-model", model_version=None
+)
+
+async def get_inference_request_stream(inference_request):
+ yield inference_request
+
+async with grpc.aio.insecure_channel("localhost:8081") as grpc_channel:
+ grpc_stub = dataplane.GRPCInferenceServiceStub(grpc_channel)
+ inference_request_stream = get_inference_request_stream(inference_request_g)
+
+ async for response in grpc_stub.ModelStreamInfer(inference_request_stream):
+ response = ModelInferResponseConverter.to_types(response)
+ print(StringCodec.decode_output(response.outputs[0]))
+```
+
+Note that for gRPC, the request is transformed into an async generator which is then passed to the `ModelStreamInfer` method. The response is also an async generator which can be iterated over to get the response.
diff --git a/docs/examples/streaming/generate-request.json b/docs/examples/streaming/generate-request.json
new file mode 100644
index 000000000..a61935f08
--- /dev/null
+++ b/docs/examples/streaming/generate-request.json
@@ -0,0 +1,19 @@
+
+{
+ "inputs": [
+ {
+ "name": "prompt",
+ "shape": [1],
+ "datatype": "BYTES",
+ "data": ["What is the capital of France?"],
+ "parameters": {
+ "content_type": "str"
+ }
+ }
+ ],
+ "outputs": [
+ {
+ "name": "output"
+ }
+ ]
+}
diff --git a/docs/examples/streaming/model-settings.json b/docs/examples/streaming/model-settings.json
new file mode 100644
index 000000000..caf8a6ad3
--- /dev/null
+++ b/docs/examples/streaming/model-settings.json
@@ -0,0 +1,23 @@
+
+{
+ "name": "text-model",
+
+ "implementation": "text_model.TextModel",
+
+ "versions": ["text-model/v1.2.3"],
+ "platform": "mlserver",
+ "inputs": [
+ {
+ "datatype": "BYTES",
+ "name": "prompt",
+ "shape": [1]
+ }
+ ],
+ "outputs": [
+ {
+ "datatype": "BYTES",
+ "name": "output",
+ "shape": [1]
+ }
+ ]
+}
diff --git a/docs/examples/streaming/settings.json b/docs/examples/streaming/settings.json
new file mode 100644
index 000000000..3a95c2882
--- /dev/null
+++ b/docs/examples/streaming/settings.json
@@ -0,0 +1,6 @@
+
+{
+ "debug": false,
+ "parallel_workers": 0,
+ "gzip_enabled": false
+}
diff --git a/docs/examples/streaming/text_model.py b/docs/examples/streaming/text_model.py
new file mode 100644
index 000000000..d851f3bb9
--- /dev/null
+++ b/docs/examples/streaming/text_model.py
@@ -0,0 +1,32 @@
+import asyncio
+from typing import AsyncIterator
+from mlserver import MLModel
+from mlserver.types import InferenceRequest, InferenceResponse
+from mlserver.codecs import StringCodec
+
+
+class TextModel(MLModel):
+
+ async def predict_stream(
+ self, payloads: AsyncIterator[InferenceRequest]
+ ) -> AsyncIterator[InferenceResponse]:
+ payload = [_ async for _ in payloads][0]
+ text = StringCodec.decode_input(payload.inputs[0])[0]
+ words = text.split(" ")
+
+ split_text = []
+ for i, word in enumerate(words):
+ split_text.append(word if i == 0 else " " + word)
+
+ for word in split_text:
+ await asyncio.sleep(0.5)
+ yield InferenceResponse(
+ model_name=self._settings.name,
+ outputs=[
+ StringCodec.encode_output(
+ name="output",
+ payload=[word],
+ use_bytes=True,
+ ),
+ ],
+ )
diff --git a/docs/getting-started/index.md b/docs/getting-started/index.md
index ff2587613..a43325c6b 100644
--- a/docs/getting-started/index.md
+++ b/docs/getting-started/index.md
@@ -1,13 +1,13 @@
# Getting Started with MLServer
-This guide will help you get started creating machine learning microservices with MLServer
-in less than 30 minutes. Our use case will be to create a service that helps us compare the similarity
-between two documents. Think about whenever you are comparing a book, news article, blog post,
-or tutorial to read next, wouldn't it be great to have a way to compare with
-similar ones that you have already read and liked (without having to rely on a recommendation's system)?
+This guide will help you get started creating machine learning microservices with MLServer
+in less than 30 minutes. Our use case will be to create a service that helps us compare the similarity
+between two documents. Think about whenever you are comparing a book, news article, blog post,
+or tutorial to read next, wouldn't it be great to have a way to compare with
+similar ones that you have already read and liked (without having to rely on a recommendation's system)?
That's what we'll focus on this guide, on creating a document similarity service. 📜 + 📃 = 😎👌🔥
-The code is showcased as if it were cells inside a notebook but you can run each of the steps
+The code is showcased as if it were cells inside a notebook but you can run each of the steps
inside Python files with minimal effort.
## 00 What is MLServer?
@@ -16,14 +16,14 @@ MLServer is an open-source Python library for building production-ready asynchro
## 01 Dependencies
-The first step is to install `mlserver`, the `spacy` library, and the [language model](https://spacy.io/models/en#en_core_web_lg)
-`spacy` will need for our use case. We will also download the `wikipedia-api` library to
+The first step is to install `mlserver`, the `spacy` library, and the [language model](https://spacy.io/models/en#en_core_web_lg)
+`spacy` will need for our use case. We will also download the `wikipedia-api` library to
test our use case with a few fun summaries.
-If you've never heard of [spaCy](https://spacy.io/) before, it is an open-source Python
-library for advanced natural language processing that excels at large-scale information
-extraction and retrieval tasks, among many others. The model we'll use is a pre-trained
-model on English text from the web. This model will help us get started with our use case
+If you've never heard of [spaCy](https://spacy.io/) before, it is an open-source Python
+library for advanced natural language processing that excels at large-scale information
+extraction and retrieval tasks, among many others. The model we'll use is a pre-trained
+model on English text from the web. This model will help us get started with our use case
faster than if we had to train a model from scratch for our use case.
Let's first install these libraries.
@@ -40,17 +40,17 @@ We will also need to download the language model separately once we have spaCy i
python -m spacy download en_core_web_lg
```
-If you're going over this guide inside a notebook, don't forget to add an exclamation mark `!`
-in front of the two commands above. If you are in VSCode, you can keep them as they are and
+If you're going over this guide inside a notebook, don't forget to add an exclamation mark `!`
+in front of the two commands above. If you are in VSCode, you can keep them as they are and
change the cell type to bash.
## 02 Set Up
-At its core, MLServer requires that users give it 3 things, a `model-settings.json` file with
-information about the model, an (optional) `settings.json` file with information related to the server you
-are about to set up, and a `.py` file with the load-predict recipe for your model (as shown in the
+At its core, MLServer requires that users give it 3 things, a `model-settings.json` file with
+information about the model, an (optional) `settings.json` file with information related to the server you
+are about to set up, and a `.py` file with the load-predict recipe for your model (as shown in the
picture above).
Let's create a directory for our model.
@@ -60,8 +60,8 @@ Let's create a directory for our model.
mkdir -p similarity_model
```
-Before we create a service that allows us to compare the similarity between two documents, it is
-good practice to first test that our solution works first, especially if we're using a pre-trained
+Before we create a service that allows us to compare the similarity between two documents, it is
+good practice to first test that our solution works first, especially if we're using a pre-trained
model and/or a pipeline.
@@ -74,12 +74,12 @@ import spacy
nlp = spacy.load("en_core_web_lg")
```
-Now that we have our model loaded, let's look at the similarity of the abstracts of
-[Barbieheimer](https://en.wikipedia.org/wiki/Barbenheimer) using the `wikipedia-api`
-Python library. The main requirement of the API is that we pass into the main class,
-`Wikipedia()`, a project name, an email and the language we want information to be
-returned in. After that, we can search the for the movie summaries we want by passing
-the title of the movie to the `.page()` method and accessing the summary of it with
+Now that we have our model loaded, let's look at the similarity of the abstracts of
+[Barbieheimer](https://en.wikipedia.org/wiki/Barbenheimer) using the `wikipedia-api`
+Python library. The main requirement of the API is that we pass into the main class,
+`Wikipedia()`, a project name, an email and the language we want information to be
+returned in. After that, we can search the for the movie summaries we want by passing
+the title of the movie to the `.page()` method and accessing the summary of it with
the `.summary` attribute.
Feel free to change the movies for other topics you might be interested in.
@@ -104,7 +104,7 @@ print(barbie)
print()
print(oppenheimer)
```
-If you created an `app.py` file with the code above, make sure you run `python app.py` from
+If you created an `app.py` file with the code above, make sure you run `python app.py` from
the terminal.
```
@@ -133,27 +133,27 @@ doc1.similarity(doc2)
-Notice that both summaries have information about the other movie, about "films" in general,
-and about the dates each aired on (which is the same). The reality is that, the model hasn't seen
-any of these movies so it might be generalizing to the context of each article, "movies,"
+Notice that both summaries have information about the other movie, about "films" in general,
+and about the dates each aired on (which is the same). The reality is that, the model hasn't seen
+any of these movies so it might be generalizing to the context of each article, "movies,"
rather than their content, "dolls as humans and the atomic bomb."
-You should, of course, play around with different pages and see if what you get back is coherent with
+You should, of course, play around with different pages and see if what you get back is coherent with
what you would expect.
Time to create a machine learning API for our use-case. 😎
## 03 Building a Service
-MLServer allows us to wrap machine learning models into APIs and build microservices with
+MLServer allows us to wrap machine learning models into APIs and build microservices with
replicas of a single model, or different models all together.
-To create a service with MLServer, we will define a class with two asynchronous functions, one that
-loads the model and another one to run inference (or predict) with. The former will load the
-`spacy` model we tested in the last section, and the latter will take in a list with the two
-documents we want to compare. Lastly, our function will return a `numpy` array with a single
-value, our similarity score. We'll write the file to our `similarity_model` directory and call
-it `my_model.py`.
+To create a service with MLServer, we will define a class with two asynchronous functions, one that
+loads the model and another one to run inference (or predict) with. The former will load the
+`spacy` model we tested in the last section, and the latter will take in a list with the two
+documents we want to compare. Lastly, our function will return a `numpy` array with a single
+value, our similarity score. We'll write the file to our `similarity_model` directory and call
+it `my_model.py`.
```python
@@ -169,7 +169,7 @@ class MyKulModel(MLModel):
async def load(self):
self.model = spacy.load("en_core_web_lg")
-
+
@decode_args
async def predict(self, docs: List[str]) -> np.ndarray:
@@ -179,12 +179,12 @@ class MyKulModel(MLModel):
return np.array(doc1.similarity(doc2))
```
-Now that we have our model file ready to go, the last piece of the puzzle is to tell MLServer a bit of info
-about it. In particular, it wants (or needs) to know the name of the model and how to implement
-it. The former can be anything you want (and it will be part of the URL of your API), and the latter will
+Now that we have our model file ready to go, the last piece of the puzzle is to tell MLServer a bit of info
+about it. In particular, it wants (or needs) to know the name of the model and how to implement
+it. The former can be anything you want (and it will be part of the URL of your API), and the latter will
follow the recipe of `name_of_py_file_with_your_model.class_with_your_model`.
-Let's create the `model-settings.json` file MLServer is expecting inside our `similarity_model` directory
+Let's create the `model-settings.json` file MLServer is expecting inside our `similarity_model` directory
and add the name and the implementation of our model to it.
@@ -198,16 +198,16 @@ and add the name and the implementation of our model to it.
```
-Now that everything is in place, we can start serving predictions locally to test how things would play
-out for our future users. We'll initiate our server via the command line, and later on we'll see how to
-do the same via Python files. Here's where we are at right now in the process of developing microservices
+Now that everything is in place, we can start serving predictions locally to test how things would play
+out for our future users. We'll initiate our server via the command line, and later on we'll see how to
+do the same via Python files. Here's where we are at right now in the process of developing microservices
with MLServer.
-As you can see in the image, our server will be initialized with three entry points, one for HTTP requests,
-another for gRPC, and another for the metrics. To learn more about the powerful metrics feature of MLServer,
-please visit the relevant docs page [here](https://mlserver.readthedocs.io/en/latest/user-guide/metrics.html).
+As you can see in the image, our server will be initialized with three entry points, one for HTTP requests,
+another for gRPC, and another for the metrics. To learn more about the powerful metrics feature of MLServer,
+please visit the relevant docs page [here](https://mlserver.readthedocs.io/en/latest/user-guide/metrics.html).
To learn more about gRPC, please see this tutorial [here](https://realpython.com/python-microservices-grpc/).
To start our service, open up a terminal and run the following command.
@@ -216,14 +216,14 @@ To start our service, open up a terminal and run the following command.
mlserver start similarity_model/
```
-Note: If this is a fresh terminal, make sure you activate your environment before you run the command above.
-If you run the command above from your notebook (e.g. `!mlserver start similarity_model/`),
-you will have to send the request below from another notebook or terminal since the cell will continue to run
+Note: If this is a fresh terminal, make sure you activate your environment before you run the command above.
+If you run the command above from your notebook (e.g. `!mlserver start similarity_model/`),
+you will have to send the request below from another notebook or terminal since the cell will continue to run
until you turn it off.
## 04 Testing our Service
-Time to become a client of our service and test it. For this, we'll set up the payload we'll send
+Time to become a client of our service and test it. For this, we'll set up the payload we'll send
to our service and use the `requests` library to [POST](https://www.baeldung.com/cs/http-get-vs-post) our request.
@@ -232,15 +232,15 @@ from mlserver.codecs import StringCodec
import requests
```
-Please note that the request below uses the variables we created earlier with the summaries
-of Barbie and Oppenheimer. If you are sending this POST request from a fresh python file, make
+Please note that the request below uses the variables we created earlier with the summaries
+of Barbie and Oppenheimer. If you are sending this POST request from a fresh python file, make
sure you move those lines of code above into your request file.
```python
inference_request = {
"inputs": [
- StringCodec.encode_input(name='docs', payload=[barbie, oppenheimer], use_bytes=False).dict()
+ StringCodec.encode_input(name='docs', payload=[barbie, oppenheimer], use_bytes=False).model_dump()
]
}
print(inference_request)
@@ -296,10 +296,10 @@ Our movies are 98.6691% similar
Let's decompose what just happened.
-The `URL` for our service might seem a bit odd if you've never heard of the
-[V2/Open Inference Protocol (OIP)](https://docs.seldon.io/projects/seldon-core/en/latest/reference/apis/v2-protocol.html).
-This protocol is a set of specifications that allows machine learning models to be shared and deployed in a
-standardized way. This protocol enables the use of machine learning models on a variety of platforms and
+The `URL` for our service might seem a bit odd if you've never heard of the
+[V2/Open Inference Protocol (OIP)](https://docs.seldon.io/projects/seldon-core/en/latest/reference/apis/v2-protocol.html).
+This protocol is a set of specifications that allows machine learning models to be shared and deployed in a
+standardized way. This protocol enables the use of machine learning models on a variety of platforms and
devices without requiring changes to the model or its code. The OIP is useful because it allows us
to integrate machine learning into a wide range of applications in a standard way.
@@ -307,30 +307,30 @@ All URLs you create with MLServer will have the following structure.
-This kind of protocol is a standard adopted by different companies like NVIDIA, Tensorflow Serving,
-KServe, and others, to keep everyone on the same page. If you think about driving cars globally,
-your country has to apply a standard for driving on a particular side of the road, and this ensures
-you and everyone else stays on the left (or the right depending on where you are at). Adopting this
-means that you won't have to wonder where the next driver is going to come out of when you are driving
+This kind of protocol is a standard adopted by different companies like NVIDIA, Tensorflow Serving,
+KServe, and others, to keep everyone on the same page. If you think about driving cars globally,
+your country has to apply a standard for driving on a particular side of the road, and this ensures
+you and everyone else stays on the left (or the right depending on where you are at). Adopting this
+means that you won't have to wonder where the next driver is going to come out of when you are driving
and are about to take a turn, instead, you can focus on getting to where you're going to without much worrying.
Let's describe what each of the components of our `inference_request` does.
- `name`: this maps one-to-one to the name of the parameter in your `predict()` function.
- `shape`: represents the shape of the elements in our `data`. In our case, it is a list with `[2]` strings.
- `datatype`: the different data types expected by the server, e.g., str, numpy array, pandas dataframe, bytes, etc.
-- `parameters`: allows us to specify the `content_type` beyond the data types
+- `parameters`: allows us to specify the `content_type` beyond the data types
- `data`: the inputs to our predict function.
-To learn more about the OIP and how MLServer content types work, please have a looks at their
+To learn more about the OIP and how MLServer content types work, please have a looks at their
[docs page here](https://mlserver.readthedocs.io/en/latest/user-guide/content-type.html).
## 05 Creating Model Replicas
-Say you need to meet the demand of a high number of users and one model might not be enough, or is not using
-all of the resources of the virtual machine instance it was allocated to. What we can do in this case is
-to create multiple replicas of our model to increase the throughput of the requests that come in. This
-can be particularly useful at the peak times of our server. To do this, we need to tweak the settings of
-our server via the `settings.json` file. In it, we'll add the number of independent models we want to
+Say you need to meet the demand of a high number of users and one model might not be enough, or is not using
+all of the resources of the virtual machine instance it was allocated to. What we can do in this case is
+to create multiple replicas of our model to increase the throughput of the requests that come in. This
+can be particularly useful at the peak times of our server. To do this, we need to tweak the settings of
+our server via the `settings.json` file. In it, we'll add the number of independent models we want to
have to the parameter `"parallel_workers": 3`.
Let's stop our server, change the settings of it, start it again, and test it.
@@ -351,12 +351,12 @@ mlserver start similarity_model
-As you can see in the output of the terminal in the picture above, we now have 3 models running in
-parallel. The reason you might see 4 is because, by default, MLServer will print the name of the
-initialized model if it is one or more, and it will also print one for each of the replicas
+As you can see in the output of the terminal in the picture above, we now have 3 models running in
+parallel. The reason you might see 4 is because, by default, MLServer will print the name of the
+initialized model if it is one or more, and it will also print one for each of the replicas
specified in the settings.
-Let's get a few more [twin films examples](https://en.wikipedia.org/wiki/Twin_films) to test our
+Let's get a few more [twin films examples](https://en.wikipedia.org/wiki/Twin_films) to test our
server. Get as creative as you'd like. 💡
@@ -375,10 +375,10 @@ mamma_mia = wiki_wiki.page('Mamma_Mia!_(film)').summary
```python
def get_sim_score(movie1, movie2):
response = requests.post(
- 'http://0.0.0.0:8080/v2/models/doc-sim-model/infer',
+ 'http://0.0.0.0:8080/v2/models/doc-sim-model/infer',
json={
"inputs": [
- StringCodec.encode_input(name='docs', payload=[movie1, movie2], use_bytes=False).dict()
+ StringCodec.encode_input(name='docs', payload=[movie1, movie2], use_bytes=False).model_dump()
]
})
return response.json()['outputs'][0]['data'][0]
@@ -432,12 +432,12 @@ for movie1, movie2 in zip((deep_impact, antz, the_dark_night), (armageddon, a_bu
-For the last step of this guide, we are going to package our model and service into a
-docker image that we can reuse in another project or share with colleagues immediately. This step
-requires that we have docker installed and configured in our PCs, so if you need to set up docker,
+For the last step of this guide, we are going to package our model and service into a
+docker image that we can reuse in another project or share with colleagues immediately. This step
+requires that we have docker installed and configured in our PCs, so if you need to set up docker,
you can do so by following the instructions in the documentation [here](https://docs.docker.com/get-docker/).
-The first step is to create a `requirements.txt` file with all of our dependencies and add it to
+The first step is to create a `requirements.txt` file with all of our dependencies and add it to
the directory we've been using for our service (`similarity_model`).
@@ -450,7 +450,7 @@ https://github.com/explosion/spacy-models/releases/download/en_core_web_lg-3.6.0
```
-The next step is to build a docker image with our model, its dependencies and our server. If you've never heard
+The next step is to build a docker image with our model, its dependencies and our server. If you've never heard
of **docker images** before, here's a short description.
> A Docker image is a lightweight, standalone, and executable package that includes everything needed to run a piece of software, including code, libraries, dependencies, and settings. It's like a carry-on bag for your application, containing everything it needs to travel safely and run smoothly in different environments. Just as a carry-on bag allows you to bring your essentials with you on a trip, a Docker image enables you to transport your application and its requirements across various computing environments, ensuring consistent and reliable deployment.
@@ -462,7 +462,7 @@ MLServer has a convenient function that lets us create docker images with our se
mlserver build similarity_model/ -t 'fancy_ml_service'
```
-We can check that our image was successfully build not only by looking at the logs of the previous
+We can check that our image was successfully build not only by looking at the logs of the previous
command but also with the `docker images` command.
@@ -470,7 +470,7 @@ command but also with the `docker images` command.
docker images
```
-Let's test that our image works as intended with the following command. Make sure you have closed your
+Let's test that our image works as intended with the following command. Make sure you have closed your
previous server by using `CTRL + C` in your terminal.
@@ -478,16 +478,16 @@ previous server by using `CTRL + C` in your terminal.
docker run -it --rm -p 8080:8080 fancy_ml_service
```
-Now that you have a packaged and fully-functioning microservice with our model, we could deploy our container
-to a production serving platform like [Seldon Core](https://docs.seldon.io/projects/seldon-core/en/latest/#),
-or via different offerings available through the many cloud providers out there (e.g. AWS Lambda, Google
-Cloud Run, etc.). You could also run this image on KServe, a Kubernetes native tool for model serving, or
+Now that you have a packaged and fully-functioning microservice with our model, we could deploy our container
+to a production serving platform like [Seldon Core](https://docs.seldon.io/projects/seldon-core/en/latest/#),
+or via different offerings available through the many cloud providers out there (e.g. AWS Lambda, Google
+Cloud Run, etc.). You could also run this image on KServe, a Kubernetes native tool for model serving, or
anywhere else where you can bring your docker image with you.
-To learn more about MLServer and the different ways in which you can use it, head over to the
-[examples](https://mlserver.readthedocs.io/en/latest/examples/index.html) section
-or the [user guide](https://mlserver.readthedocs.io/en/latest/user-guide/index.html). To learn about
+To learn more about MLServer and the different ways in which you can use it, head over to the
+[examples](https://mlserver.readthedocs.io/en/latest/examples/index.html) section
+or the [user guide](https://mlserver.readthedocs.io/en/latest/user-guide/index.html). To learn about
some of the deployment options available, head over to the docs [here](https://mlserver.readthedocs.io/en/stable/user-guide/deployment/index.html).
-To keep up to date with what we are up to at Seldon, make sure you join our
+To keep up to date with what we are up to at Seldon, make sure you join our
[Slack community](https://join.slack.com/t/seldondev/shared_invite/zt-vejg6ttd-ksZiQs3O_HOtPQsen_labg).
diff --git a/docs/user-guide/content-type.md b/docs/user-guide/content-type.md
index 87420e1c4..46a5e7524 100644
--- a/docs/user-guide/content-type.md
+++ b/docs/user-guide/content-type.md
@@ -169,7 +169,7 @@ MLServer) you will need to **convert them to a Python dict or a JSON string**.
Luckily, these classes leverage [Pydantic](https://docs.pydantic.dev/latest/)
under the hood.
-Therefore you can just call the `.dict()` or `.json()` method to convert them.
+Therefore you can just call the `.model_dump()` or `.model_dump_json()` method to convert them.
Likewise, to read them back from JSON, we can always pass the JSON fields as
kwargs to the class' constructor (or use any of the [other
methods](https://docs.pydantic.dev/latest/usage/models/#model-properties)
@@ -461,19 +461,19 @@ emphasize-lines: 3, 7-8, 13-14, 19-20
"name": "A",
"data": ["a1", "a2", "a3", "a4"]
"datatype": "BYTES",
- "shape": [3],
+ "shape": [4],
},
{
"name": "B",
"data": ["b1", "b2", "b3", "b4"]
"datatype": "BYTES",
- "shape": [3],
+ "shape": [4],
},
{
"name": "C",
"data": ["c1", "c2", "c3", "c4"]
"datatype": "BYTES",
- "shape": [3],
+ "shape": [4],
},
]
}
diff --git a/docs/user-guide/custom.md b/docs/user-guide/custom.md
index c54646d03..424e19f8a 100644
--- a/docs/user-guide/custom.md
+++ b/docs/user-guide/custom.md
@@ -215,7 +215,8 @@ In these cases, to load your custom runtime, MLServer will need access to these
dependencies.
It is possible to load this custom set of dependencies by providing them
-through an [environment tarball](../examples/conda/README), whose path can be
+through an [environment tarball](../examples/conda/README) or by giving a
+path to an already exisiting python environment. Both paths can be
specified within your `model-settings.json` file.
```{warning}
@@ -224,12 +225,26 @@ To load a custom environment, [parallel inference](./parallel-inference)
```
```{warning}
-When loading custom environments, MLServer will always use the same Python
-interpreter that is used to run the main process.
-In other words, all custom environments will use the same version of Python
-than the main MLServer process.
+The main MLServer process communicates with workers in custom environments via
+[`multiprocessing.Queue`](https://docs.python.org/3/library/multiprocessing.html#multiprocessing.Queue)
+using pickled objects. Custom environments therefore **must** use the same
+version of MLServer and a compatible version of Python with the same [default
+pickle protocol](https://docs.python.org/3/library/pickle.html#pickle.DEFAULT_PROTOCOL)
+as the main process. Consult the tables below for environment compatibility.
```
+| Status | Description |
+| ------ | ------------ |
+| 🔴 | Unsupported |
+| 🟢 | Supported |
+| 🔵 | Untested |
+
+| Worker Python \ Server Python | 3.9 | 3.10 | 3.11 |
+| ----------------------------- | --- | ---- | ---- |
+| 3.9 | 🟢 | 🟢 | 🔵 |
+| 3.10 | 🟢 | 🟢 | 🔵 |
+| 3.11 | 🔵 | 🔵 | 🔵 |
+
If we take the [previous example](#loading-a-custom-mlserver-runtime) above as
a reference, we could extend it to include our custom environment as:
@@ -263,6 +278,21 @@ Note that, in the folder layout above, we are assuming that:
}
```
+If you want to use an already exisiting python environment, you can use the parameter `environment_path` of your `model-settings.json`:
+
+```
+---
+emphasize-lines: 5
+---
+{
+ "model": "sum-model",
+ "implementation": "models.MyCustomRuntime",
+ "parameters": {
+ "environment_path": "~/micromambda/envs/my-conda-environment"
+ }
+}
+```
+
## Building a custom MLServer image
```{note}
diff --git a/docs/user-guide/index.md b/docs/user-guide/index.md
index c9e1b65cb..cf5dee500 100644
--- a/docs/user-guide/index.md
+++ b/docs/user-guide/index.md
@@ -13,4 +13,5 @@ how to use them.
./custom
./metrics
./deployment/index
+./streaming
```
diff --git a/docs/user-guide/streaming.md b/docs/user-guide/streaming.md
new file mode 100644
index 000000000..a576e6a3e
--- /dev/null
+++ b/docs/user-guide/streaming.md
@@ -0,0 +1,34 @@
+# Streaming
+
+Out of the box, MLServer includes support for streaming data to your models. Streaming support is available for both the REST and gRPC servers.
+
+
+## REST Server
+
+Streaming support for the REST server is limited only to server streaming. This means that the client sends a single request to the server, and the server responds with a stream of data.
+
+The streaming endpoints are available for both the `infer` and `generate` methods through the following endpoints:
+
+- `/v2/models/{model_name}/versions/{model_version}/infer_stream`
+- `/v2/models/{model_name}/infer_stream`
+- `/v2/models/{model_name}/versions/{model_version}/generate_stream`
+- `/v2/models/{model_name}/generate_stream`
+
+Note that for REST, the `generate` and `generate_stream` endpoints are aliases for the `infer` and `infer_stream` endpoints, respectively. Those names are used to better reflect the nature of the operation for Large Language Models (LLMs).
+
+
+## gRPC Server
+
+Streaming support for the gRPC server is available for both client and server streaming. This means that the client sends a stream of data to the server, and the server responds with a stream of data.
+
+The two streams operate independently, so the client and the server can read and write data however they want (e.g., the server could either wait to receive all the client messages before sending a response or it can send a response after each message). Note that bi-directional streaming covers all the possible combinations of client and server streaming: unary-stream, stream-unary, and stream-stream. The unary-unary case can be covered as well by the bi-directional streaming, but `mlserver` already has the `predict` method dedicated to this use case. The logic for how the requests are received, and processed, and the responses are sent back should be built into the runtime logic.
+
+The stub method for streaming to be used by the client is `ModelStreamInfer`.
+
+
+## Limitation
+
+There are three main limitations of the streaming support in MLServer:
+
+- the `parallel_workers` setting should be set to `0` to disable distributed workers (to be addressed in future releases)
+- for REST, the `gzip_enabled` setting should be set to `false` to disable GZIP compression, as streaming is not compatible with GZIP compression (see issue [here]( https://github.com/encode/starlette/issues/20#issuecomment-704106436))
diff --git a/hack/activate-libomp-macos.sh b/hack/activate-libomp-macos.sh
new file mode 100755
index 000000000..6b3813c19
--- /dev/null
+++ b/hack/activate-libomp-macos.sh
@@ -0,0 +1,6 @@
+#!/usr/bin/env bash
+
+set -Eeuo pipefail
+
+export LDFLAGS="-L/usr/local/opt/libomp/lib"
+export CPPFLAGS="-I/usr/local/opt/libomp/include"
diff --git a/hack/generate-types.sh b/hack/generate-types.sh
index a26c6ef35..1439a446a 100755
--- a/hack/generate-types.sh
+++ b/hack/generate-types.sh
@@ -1,5 +1,11 @@
+#!/usr/bin/env bash
+
+set -Eeuo pipefail
+
ROOT_FOLDER="$(dirname "${0}")/.."
+TARGET="$1"
+
_generatePB() {
local apiName=$1
@@ -23,14 +29,12 @@ _generatePydantic() {
--input "${ROOT_FOLDER}/openapi/$apiName.yaml" \
--input-file-type openapi \
--output "${ROOT_FOLDER}/mlserver/types/$apiName.py" \
+ --output-model-type pydantic_v2.BaseModel \
--custom-template-dir "${ROOT_FOLDER}/hack/templates" \
--base-class ".base.BaseModel" \
--disable-timestamp \
- --target-python-version 3.6
+ --target-python-version 3.10
}
-_generatePB dataplane
-_generatePydantic dataplane
-
-_generatePB model_repository
-_generatePydantic model_repository
+_generatePB "$TARGET"
+_generatePydantic "$TARGET"
diff --git a/hack/generate_dotenv.py b/hack/generate_dotenv.py
index 0d0e6d63f..901c2e5df 100755
--- a/hack/generate_dotenv.py
+++ b/hack/generate_dotenv.py
@@ -13,7 +13,7 @@
import os
from typing import List, Tuple, Type
-from pydantic import BaseSettings
+from pydantic_settings import BaseSettings
from mlserver.settings import Settings, ModelSettings, ModelParameters
from mlserver.cli.serve import DEFAULT_SETTINGS_FILENAME
diff --git a/hack/install-docker-macos.sh b/hack/install-docker-macos.sh
new file mode 100755
index 000000000..87e5b6fbe
--- /dev/null
+++ b/hack/install-docker-macos.sh
@@ -0,0 +1,24 @@
+#!/usr/bin/env bash
+
+set -Eeuo pipefail
+
+# Install Docker
+# From https://github.com/actions/runner-images/issues/17#issuecomment-1537238473
+# From https://github.com/abiosoft/colima/discussions/273#discussioncomment-4959736
+brew install docker docker-buildx
+mkdir -p $HOME/.docker/cli-plugins
+ln -sfn $(which docker-buildx) $HOME/.docker/cli-plugins/docker-buildx
+
+# Install Lima
+brew install lima
+# Don't explicitly start Lima here (e.g. with `limactl start`).
+# Let Colina do that, otherwise, # Colima seems to hang
+# waiting for the SSH requirement to be met.
+
+# Install Colima
+sudo mkdir -p /usr/local/bin
+sudo curl -L -o /usr/local/bin/colima https://github.com/abiosoft/colima/releases/download/v0.6.9/colima-Darwin-x86_64 && sudo chmod +x /usr/local/bin/colima
+colima start --memory 5 --runtime docker
+
+# Link Colima and Docker
+sudo ln -sf $HOME/.colima/default/docker.sock /var/run/docker.sock
diff --git a/hack/templates/BaseModel_root.jinja2 b/hack/templates/BaseModel_root.jinja2
deleted file mode 100644
index a6c73147e..000000000
--- a/hack/templates/BaseModel_root.jinja2
+++ /dev/null
@@ -1,35 +0,0 @@
-{#
-Template coming from
-https://github.com/koxudaxi/datamodel-code-generator/blob/master/datamodel_code_generator/model/template/pydantic/BaseModel_root.jinja2.
-We override it to inject `__iter__` and `__getitem__`, as per
-https://pydantic-docs.helpmanual.io/usage/models/#custom-root-types
-
-**NOTE: We also disable validation**
-#}
-{% for decorator in decorators -%}
-{{ decorator }}
-{% endfor -%}
-class {{ class_name }}({{ base_class }}):
-{%- if config %}
-{% include 'Config.jinja2' %}
-{%- endif %}
-{%- if not fields %}
- pass
-{%- else %}
- {%- if fields[0].field %}
- __root__: {{ fields[0].type_hint }} = {{ fields[0].field }}
- {%- elif fields[0].required or (fields[0].default == 'None' and fields[0].strip_default_none) %}
- __root__: {{ fields[0].type_hint }}
- {%- else %}
- __root__: {{ fields[0].type_hint }} = {{ fields[0].represented_default }}
- {%- endif %}
-
- def __iter__(self):
- return iter(self.__root__)
-
- def __getitem__(self, idx):
- return self.__root__[idx]
-
- def __len__(self):
- return len(self.__root__)
-{%- endif %}
diff --git a/hack/templates/RootModel.jinja2 b/hack/templates/RootModel.jinja2
new file mode 100644
index 000000000..39ee2c658
--- /dev/null
+++ b/hack/templates/RootModel.jinja2
@@ -0,0 +1,64 @@
+{#
+Template coming from
+https://github.com/koxudaxi/datamodel-code-generator/blob/master/datamodel_code_generator/model/template/pydantic/BaseModel_root.jinja2.
+We override it to inject `__iter__` and `__getitem__`, as per
+https://pydantic-docs.helpmanual.io/usage/models/#custom-root-types
+
+**NOTE: We also disable validation**
+#}
+
+
+{%- macro get_type_hint(_fields) -%}
+{%- if _fields -%}
+{#There will only ever be a single field for RootModel#}
+{{- _fields[0].type_hint}}
+{%- endif -%}
+{%- endmacro -%}
+
+
+{% for decorator in decorators -%}
+{{ decorator }}
+{% endfor -%}
+
+class {{ class_name }}({{ base_class }}{%- if fields -%}[{{get_type_hint(fields)}}]{%- endif -%}):{% if comment is defined %} # {{ comment }}{% endif %}
+{%- if description %}
+ """
+ {{ description | indent(4) }}
+ """
+{%- endif %}
+{%- if config %}
+{%- filter indent(4) %}
+{% include 'ConfigDict.jinja2' %}
+{%- endfilter %}
+{%- endif %}
+{%- if not fields and not description %}
+ pass
+{%- else %}
+ {%- set field = fields[0] %}
+ {%- if not field.annotated and field.field %}
+ root: {{ field.type_hint }} = {{ field.field }}
+ {%- else %}
+ {%- if field.annotated %}
+ root: {{ field.annotated }}
+ {%- else %}
+ root: {{ field.type_hint }}
+ {%- endif %}
+ {%- if not (field.required or (field.represented_default == 'None' and field.strip_default_none))
+ %} = {{ field.represented_default }}
+ {%- endif -%}
+ {%- endif %}
+ {%- if field.docstring %}
+ """
+ {{ field.docstring | indent(4) }}
+ """
+ {%- endif %}
+
+ def __iter__(self):
+ return iter(self.root)
+
+ def __getitem__(self, idx):
+ return self.root[idx]
+
+ def __len__(self):
+ return len(self.root)
+{%- endif %}
diff --git a/licenses/license.txt b/licenses/license.txt
index b2b96d291..f0316ceeb 100644
--- a/licenses/license.txt
+++ b/licenses/license.txt
@@ -48,7 +48,7 @@ OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
Flask
-3.0.2
+3.0.3
BSD License
Copyright 2010 Pallets
@@ -81,7 +81,7 @@ SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
GitPython
-3.1.42
+3.1.43
BSD License
Copyright (C) 2008, 2009 Michael Trier and contributors
All rights reserved.
@@ -115,7 +115,7 @@ SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
Jinja2
-3.1.3
+3.1.4
BSD License
Copyright 2007 Pallets
@@ -148,7 +148,7 @@ SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
Mako
-1.3.2
+1.3.5
MIT License
Copyright 2006-2024 the Mako authors and contributors <see AUTHORS file>.
@@ -172,37 +172,38 @@ SOFTWARE.
Markdown
-3.5.2
+3.6
BSD License
-Copyright 2007, 2008 The Python Markdown Project (v. 1.7 and later)
-Copyright 2004, 2005, 2006 Yuri Takhteyev (v. 0.2-1.6b)
-Copyright 2004 Manfred Stienstra (the original version)
+BSD 3-Clause License
-All rights reserved.
+Copyright 2007, 2008 The Python Markdown Project (v. 1.7 and later)
+Copyright 2004, 2005, 2006 Yuri Takhteyev (v. 0.2-1.6b)
+Copyright 2004 Manfred Stienstra (the original version)
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:
-* Redistributions of source code must retain the above copyright
- notice, this list of conditions and the following disclaimer.
-* Redistributions in binary form must reproduce the above copyright
- notice, this list of conditions and the following disclaimer in the
- documentation and/or other materials provided with the distribution.
-* Neither the name of the Python Markdown Project nor the
- names of its contributors may be used to endorse or promote products
- derived from this software without specific prior written permission.
+1. Redistributions of source code must retain the above copyright notice, this
+ list of conditions and the following disclaimer.
-THIS SOFTWARE IS PROVIDED BY THE PYTHON MARKDOWN PROJECT ''AS IS'' AND ANY
-EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
-WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
-DISCLAIMED. IN NO EVENT SHALL ANY CONTRIBUTORS TO THE PYTHON MARKDOWN PROJECT
-BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
-CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
-SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
-INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
-CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
-ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
-POSSIBILITY OF SUCH DAMAGE.
+2. Redistributions in binary form must reproduce the above copyright notice,
+ this list of conditions and the following disclaimer in the documentation
+ and/or other materials provided with the distribution.
+
+3. Neither the name of the copyright holder nor the names of its
+ contributors may be used to endorse or promote products derived from
+ this software without specific prior written permission.
+
+THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
+AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
+IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
+DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
+FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
+DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
+SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
+CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
+OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
+OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
MarkupSafe
@@ -263,8 +264,38 @@ OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
+Pygments
+2.18.0
+BSD License
+Copyright (c) 2006-2022 by the respective authors (see AUTHORS file).
+All rights reserved.
+
+Redistribution and use in source and binary forms, with or without
+modification, are permitted provided that the following conditions are
+met:
+
+* Redistributions of source code must retain the above copyright
+ notice, this list of conditions and the following disclaimer.
+
+* Redistributions in binary form must reproduce the above copyright
+ notice, this list of conditions and the following disclaimer in the
+ documentation and/or other materials provided with the distribution.
+
+THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
+"AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
+LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
+A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
+OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
+SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
+LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
+DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
+THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
+(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
+OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+
+
SQLAlchemy
-2.0.27
+2.0.30
MIT License
Copyright 2005-2024 SQLAlchemy authors and contributors <see AUTHORS file>.
@@ -288,7 +319,7 @@ SOFTWARE.
Werkzeug
-3.0.1
+3.0.3
BSD License
Copyright 2007 Pallets
@@ -734,8 +765,292 @@ Apache License
+aiohappyeyeballs
+2.3.5
+Python License (CNRI Python License)
+A. HISTORY OF THE SOFTWARE
+==========================
+
+Python was created in the early 1990s by Guido van Rossum at Stichting
+Mathematisch Centrum (CWI, see https://www.cwi.nl) in the Netherlands
+as a successor of a language called ABC. Guido remains Python's
+principal author, although it includes many contributions from others.
+
+In 1995, Guido continued his work on Python at the Corporation for
+National Research Initiatives (CNRI, see https://www.cnri.reston.va.us)
+in Reston, Virginia where he released several versions of the
+software.
+
+In May 2000, Guido and the Python core development team moved to
+BeOpen.com to form the BeOpen PythonLabs team. In October of the same
+year, the PythonLabs team moved to Digital Creations, which became
+Zope Corporation. In 2001, the Python Software Foundation (PSF, see
+https://www.python.org/psf/) was formed, a non-profit organization
+created specifically to own Python-related Intellectual Property.
+Zope Corporation was a sponsoring member of the PSF.
+
+All Python releases are Open Source (see https://opensource.org for
+the Open Source Definition). Historically, most, but not all, Python
+releases have also been GPL-compatible; the table below summarizes
+the various releases.
+
+ Release Derived Year Owner GPL-
+ from compatible? (1)
+
+ 0.9.0 thru 1.2 1991-1995 CWI yes
+ 1.3 thru 1.5.2 1.2 1995-1999 CNRI yes
+ 1.6 1.5.2 2000 CNRI no
+ 2.0 1.6 2000 BeOpen.com no
+ 1.6.1 1.6 2001 CNRI yes (2)
+ 2.1 2.0+1.6.1 2001 PSF no
+ 2.0.1 2.0+1.6.1 2001 PSF yes
+ 2.1.1 2.1+2.0.1 2001 PSF yes
+ 2.1.2 2.1.1 2002 PSF yes
+ 2.1.3 2.1.2 2002 PSF yes
+ 2.2 and above 2.1.1 2001-now PSF yes
+
+Footnotes:
+
+(1) GPL-compatible doesn't mean that we're distributing Python under
+ the GPL. All Python licenses, unlike the GPL, let you distribute
+ a modified version without making your changes open source. The
+ GPL-compatible licenses make it possible to combine Python with
+ other software that is released under the GPL; the others don't.
+
+(2) According to Richard Stallman, 1.6.1 is not GPL-compatible,
+ because its license has a choice of law clause. According to
+ CNRI, however, Stallman's lawyer has told CNRI's lawyer that 1.6.1
+ is "not incompatible" with the GPL.
+
+Thanks to the many outside volunteers who have worked under Guido's
+direction to make these releases possible.
+
+
+B. TERMS AND CONDITIONS FOR ACCESSING OR OTHERWISE USING PYTHON
+===============================================================
+
+Python software and documentation are licensed under the
+Python Software Foundation License Version 2.
+
+Starting with Python 3.8.6, examples, recipes, and other code in
+the documentation are dual licensed under the PSF License Version 2
+and the Zero-Clause BSD license.
+
+Some software incorporated into Python is under different licenses.
+The licenses are listed with code falling under that license.
+
+
+PYTHON SOFTWARE FOUNDATION LICENSE VERSION 2
+--------------------------------------------
+
+1. This LICENSE AGREEMENT is between the Python Software Foundation
+("PSF"), and the Individual or Organization ("Licensee") accessing and
+otherwise using this software ("Python") in source or binary form and
+its associated documentation.
+
+2. Subject to the terms and conditions of this License Agreement, PSF hereby
+grants Licensee a nonexclusive, royalty-free, world-wide license to reproduce,
+analyze, test, perform and/or display publicly, prepare derivative works,
+distribute, and otherwise use Python alone or in any derivative version,
+provided, however, that PSF's License Agreement and PSF's notice of copyright,
+i.e., "Copyright (c) 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010,
+2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023 Python Software Foundation;
+All Rights Reserved" are retained in Python alone or in any derivative version
+prepared by Licensee.
+
+3. In the event Licensee prepares a derivative work that is based on
+or incorporates Python or any part thereof, and wants to make
+the derivative work available to others as provided herein, then
+Licensee hereby agrees to include in any such work a brief summary of
+the changes made to Python.
+
+4. PSF is making Python available to Licensee on an "AS IS"
+basis. PSF MAKES NO REPRESENTATIONS OR WARRANTIES, EXPRESS OR
+IMPLIED. BY WAY OF EXAMPLE, BUT NOT LIMITATION, PSF MAKES NO AND
+DISCLAIMS ANY REPRESENTATION OR WARRANTY OF MERCHANTABILITY OR FITNESS
+FOR ANY PARTICULAR PURPOSE OR THAT THE USE OF PYTHON WILL NOT
+INFRINGE ANY THIRD PARTY RIGHTS.
+
+5. PSF SHALL NOT BE LIABLE TO LICENSEE OR ANY OTHER USERS OF PYTHON
+FOR ANY INCIDENTAL, SPECIAL, OR CONSEQUENTIAL DAMAGES OR LOSS AS
+A RESULT OF MODIFYING, DISTRIBUTING, OR OTHERWISE USING PYTHON,
+OR ANY DERIVATIVE THEREOF, EVEN IF ADVISED OF THE POSSIBILITY THEREOF.
+
+6. This License Agreement will automatically terminate upon a material
+breach of its terms and conditions.
+
+7. Nothing in this License Agreement shall be deemed to create any
+relationship of agency, partnership, or joint venture between PSF and
+Licensee. This License Agreement does not grant permission to use PSF
+trademarks or trade name in a trademark sense to endorse or promote
+products or services of Licensee, or any third party.
+
+8. By copying, installing or otherwise using Python, Licensee
+agrees to be bound by the terms and conditions of this License
+Agreement.
+
+
+BEOPEN.COM LICENSE AGREEMENT FOR PYTHON 2.0
+-------------------------------------------
+
+BEOPEN PYTHON OPEN SOURCE LICENSE AGREEMENT VERSION 1
+
+1. This LICENSE AGREEMENT is between BeOpen.com ("BeOpen"), having an
+office at 160 Saratoga Avenue, Santa Clara, CA 95051, and the
+Individual or Organization ("Licensee") accessing and otherwise using
+this software in source or binary form and its associated
+documentation ("the Software").
+
+2. Subject to the terms and conditions of this BeOpen Python License
+Agreement, BeOpen hereby grants Licensee a non-exclusive,
+royalty-free, world-wide license to reproduce, analyze, test, perform
+and/or display publicly, prepare derivative works, distribute, and
+otherwise use the Software alone or in any derivative version,
+provided, however, that the BeOpen Python License is retained in the
+Software, alone or in any derivative version prepared by Licensee.
+
+3. BeOpen is making the Software available to Licensee on an "AS IS"
+basis. BEOPEN MAKES NO REPRESENTATIONS OR WARRANTIES, EXPRESS OR
+IMPLIED. BY WAY OF EXAMPLE, BUT NOT LIMITATION, BEOPEN MAKES NO AND
+DISCLAIMS ANY REPRESENTATION OR WARRANTY OF MERCHANTABILITY OR FITNESS
+FOR ANY PARTICULAR PURPOSE OR THAT THE USE OF THE SOFTWARE WILL NOT
+INFRINGE ANY THIRD PARTY RIGHTS.
+
+4. BEOPEN SHALL NOT BE LIABLE TO LICENSEE OR ANY OTHER USERS OF THE
+SOFTWARE FOR ANY INCIDENTAL, SPECIAL, OR CONSEQUENTIAL DAMAGES OR LOSS
+AS A RESULT OF USING, MODIFYING OR DISTRIBUTING THE SOFTWARE, OR ANY
+DERIVATIVE THEREOF, EVEN IF ADVISED OF THE POSSIBILITY THEREOF.
+
+5. This License Agreement will automatically terminate upon a material
+breach of its terms and conditions.
+
+6. This License Agreement shall be governed by and interpreted in all
+respects by the law of the State of California, excluding conflict of
+law provisions. Nothing in this License Agreement shall be deemed to
+create any relationship of agency, partnership, or joint venture
+between BeOpen and Licensee. This License Agreement does not grant
+permission to use BeOpen trademarks or trade names in a trademark
+sense to endorse or promote products or services of Licensee, or any
+third party. As an exception, the "BeOpen Python" logos available at
+http://www.pythonlabs.com/logos.html may be used according to the
+permissions granted on that web page.
+
+7. By copying, installing or otherwise using the software, Licensee
+agrees to be bound by the terms and conditions of this License
+Agreement.
+
+
+CNRI LICENSE AGREEMENT FOR PYTHON 1.6.1
+---------------------------------------
+
+1. This LICENSE AGREEMENT is between the Corporation for National
+Research Initiatives, having an office at 1895 Preston White Drive,
+Reston, VA 20191 ("CNRI"), and the Individual or Organization
+("Licensee") accessing and otherwise using Python 1.6.1 software in
+source or binary form and its associated documentation.
+
+2. Subject to the terms and conditions of this License Agreement, CNRI
+hereby grants Licensee a nonexclusive, royalty-free, world-wide
+license to reproduce, analyze, test, perform and/or display publicly,
+prepare derivative works, distribute, and otherwise use Python 1.6.1
+alone or in any derivative version, provided, however, that CNRI's
+License Agreement and CNRI's notice of copyright, i.e., "Copyright (c)
+1995-2001 Corporation for National Research Initiatives; All Rights
+Reserved" are retained in Python 1.6.1 alone or in any derivative
+version prepared by Licensee. Alternately, in lieu of CNRI's License
+Agreement, Licensee may substitute the following text (omitting the
+quotes): "Python 1.6.1 is made available subject to the terms and
+conditions in CNRI's License Agreement. This Agreement together with
+Python 1.6.1 may be located on the internet using the following
+unique, persistent identifier (known as a handle): 1895.22/1013. This
+Agreement may also be obtained from a proxy server on the internet
+using the following URL: http://hdl.handle.net/1895.22/1013".
+
+3. In the event Licensee prepares a derivative work that is based on
+or incorporates Python 1.6.1 or any part thereof, and wants to make
+the derivative work available to others as provided herein, then
+Licensee hereby agrees to include in any such work a brief summary of
+the changes made to Python 1.6.1.
+
+4. CNRI is making Python 1.6.1 available to Licensee on an "AS IS"
+basis. CNRI MAKES NO REPRESENTATIONS OR WARRANTIES, EXPRESS OR
+IMPLIED. BY WAY OF EXAMPLE, BUT NOT LIMITATION, CNRI MAKES NO AND
+DISCLAIMS ANY REPRESENTATION OR WARRANTY OF MERCHANTABILITY OR FITNESS
+FOR ANY PARTICULAR PURPOSE OR THAT THE USE OF PYTHON 1.6.1 WILL NOT
+INFRINGE ANY THIRD PARTY RIGHTS.
+
+5. CNRI SHALL NOT BE LIABLE TO LICENSEE OR ANY OTHER USERS OF PYTHON
+1.6.1 FOR ANY INCIDENTAL, SPECIAL, OR CONSEQUENTIAL DAMAGES OR LOSS AS
+A RESULT OF MODIFYING, DISTRIBUTING, OR OTHERWISE USING PYTHON 1.6.1,
+OR ANY DERIVATIVE THEREOF, EVEN IF ADVISED OF THE POSSIBILITY THEREOF.
+
+6. This License Agreement will automatically terminate upon a material
+breach of its terms and conditions.
+
+7. This License Agreement shall be governed by the federal
+intellectual property law of the United States, including without
+limitation the federal copyright law, and, to the extent such
+U.S. federal law does not apply, by the law of the Commonwealth of
+Virginia, excluding Virginia's conflict of law provisions.
+Notwithstanding the foregoing, with regard to derivative works based
+on Python 1.6.1 that incorporate non-separable material that was
+previously distributed under the GNU General Public License (GPL), the
+law of the Commonwealth of Virginia shall govern this License
+Agreement only as to issues arising under or with respect to
+Paragraphs 4, 5, and 7 of this License Agreement. Nothing in this
+License Agreement shall be deemed to create any relationship of
+agency, partnership, or joint venture between CNRI and Licensee. This
+License Agreement does not grant permission to use CNRI trademarks or
+trade name in a trademark sense to endorse or promote products or
+services of Licensee, or any third party.
+
+8. By clicking on the "ACCEPT" button where indicated, or by copying,
+installing or otherwise using Python 1.6.1, Licensee agrees to be
+bound by the terms and conditions of this License Agreement.
+
+ ACCEPT
+
+
+CWI LICENSE AGREEMENT FOR PYTHON 0.9.0 THROUGH 1.2
+--------------------------------------------------
+
+Copyright (c) 1991 - 1995, Stichting Mathematisch Centrum Amsterdam,
+The Netherlands. All rights reserved.
+
+Permission to use, copy, modify, and distribute this software and its
+documentation for any purpose and without fee is hereby granted,
+provided that the above copyright notice appear in all copies and that
+both that copyright notice and this permission notice appear in
+supporting documentation, and that the name of Stichting Mathematisch
+Centrum or CWI not be used in advertising or publicity pertaining to
+distribution of the software without specific, written prior
+permission.
+
+STICHTING MATHEMATISCH CENTRUM DISCLAIMS ALL WARRANTIES WITH REGARD TO
+THIS SOFTWARE, INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY AND
+FITNESS, IN NO EVENT SHALL STICHTING MATHEMATISCH CENTRUM BE LIABLE
+FOR ANY SPECIAL, INDIRECT OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES
+WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS, WHETHER IN AN
+ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS ACTION, ARISING OUT
+OF OR IN CONNECTION WITH THE USE OR PERFORMANCE OF THIS SOFTWARE.
+
+ZERO-CLAUSE BSD LICENSE FOR CODE IN THE PYTHON DOCUMENTATION
+----------------------------------------------------------------------
+
+Permission to use, copy, modify, and/or distribute this software for any
+purpose with or without fee is hereby granted.
+
+THE SOFTWARE IS PROVIDED "AS IS" AND THE AUTHOR DISCLAIMS ALL WARRANTIES WITH
+REGARD TO THIS SOFTWARE INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY
+AND FITNESS. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY SPECIAL, DIRECT,
+INDIRECT, OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER RESULTING FROM
+LOSS OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR
+OTHER TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR
+PERFORMANCE OF THIS SOFTWARE.
+
+
aiohttp
-3.9.3
+3.10.2
Apache Software License
Copyright aio-libs contributors.
@@ -1201,7 +1516,7 @@ OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
alibi
-0.9.5
+0.9.6
Other/Proprietary License
Parameters
@@ -1257,7 +1572,7 @@ In consideration of the right to use this License’s text and the “Business S
alibi-detect
-0.11.5
+0.12.0
Other/Proprietary License
Parameters
@@ -1344,8 +1659,34 @@ OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+annotated-types
+0.7.0
+MIT License
+The MIT License (MIT)
+
+Copyright (c) 2022 the contributors
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.
+
+
anyio
-4.3.0
+4.4.0
MIT License
The MIT License (MIT)
@@ -1370,7 +1711,7 @@ CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
argcomplete
-3.2.2
+3.3.0
Apache Software License
Apache License
@@ -1552,7 +1893,7 @@ Apache Software License
asgiref
-3.7.2
+3.8.1
BSD License
Copyright (c) Django Software Foundation and individual contributors.
All rights reserved.
@@ -1697,33 +2038,266 @@ SOFTWARE.
black
-24.2.0
+24.4.0
MIT License
-The MIT License (MIT)
+A. HISTORY OF THE SOFTWARE
+==========================
-Copyright (c) 2018 Łukasz Langa
+Python was created in the early 1990s by Guido van Rossum at Stichting
+Mathematisch Centrum (CWI, see https://www.cwi.nl) in the Netherlands
+as a successor of a language called ABC. Guido remains Python's
+principal author, although it includes many contributions from others.
-Permission is hereby granted, free of charge, to any person obtaining a copy
-of this software and associated documentation files (the "Software"), to deal
-in the Software without restriction, including without limitation the rights
-to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
-copies of the Software, and to permit persons to whom the Software is
-furnished to do so, subject to the following conditions:
+In 1995, Guido continued his work on Python at the Corporation for
+National Research Initiatives (CNRI, see https://www.cnri.reston.va.us)
+in Reston, Virginia where he released several versions of the
+software.
-The above copyright notice and this permission notice shall be included in all
-copies or substantial portions of the Software.
+In May 2000, Guido and the Python core development team moved to
+BeOpen.com to form the BeOpen PythonLabs team. In October of the same
+year, the PythonLabs team moved to Digital Creations, which became
+Zope Corporation. In 2001, the Python Software Foundation (PSF, see
+https://www.python.org/psf/) was formed, a non-profit organization
+created specifically to own Python-related Intellectual Property.
+Zope Corporation was a sponsoring member of the PSF.
-THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
-IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
-FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
-AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
-LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
-OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
-SOFTWARE.
+All Python releases are Open Source (see https://opensource.org for
+the Open Source Definition). Historically, most, but not all, Python
+releases have also been GPL-compatible; the table below summarizes
+the various releases.
+
+ Release Derived Year Owner GPL-
+ from compatible? (1)
+
+ 0.9.0 thru 1.2 1991-1995 CWI yes
+ 1.3 thru 1.5.2 1.2 1995-1999 CNRI yes
+ 1.6 1.5.2 2000 CNRI no
+ 2.0 1.6 2000 BeOpen.com no
+ 1.6.1 1.6 2001 CNRI yes (2)
+ 2.1 2.0+1.6.1 2001 PSF no
+ 2.0.1 2.0+1.6.1 2001 PSF yes
+ 2.1.1 2.1+2.0.1 2001 PSF yes
+ 2.1.2 2.1.1 2002 PSF yes
+ 2.1.3 2.1.2 2002 PSF yes
+ 2.2 and above 2.1.1 2001-now PSF yes
+
+Footnotes:
+
+(1) GPL-compatible doesn't mean that we're distributing Python under
+ the GPL. All Python licenses, unlike the GPL, let you distribute
+ a modified version without making your changes open source. The
+ GPL-compatible licenses make it possible to combine Python with
+ other software that is released under the GPL; the others don't.
+
+(2) According to Richard Stallman, 1.6.1 is not GPL-compatible,
+ because its license has a choice of law clause. According to
+ CNRI, however, Stallman's lawyer has told CNRI's lawyer that 1.6.1
+ is "not incompatible" with the GPL.
+
+Thanks to the many outside volunteers who have worked under Guido's
+direction to make these releases possible.
+
+
+B. TERMS AND CONDITIONS FOR ACCESSING OR OTHERWISE USING PYTHON
+===============================================================
+
+PYTHON SOFTWARE FOUNDATION LICENSE VERSION 2
+--------------------------------------------
+
+1. This LICENSE AGREEMENT is between the Python Software Foundation
+("PSF"), and the Individual or Organization ("Licensee") accessing and
+otherwise using this software ("Python") in source or binary form and
+its associated documentation.
+
+2. Subject to the terms and conditions of this License Agreement, PSF hereby
+grants Licensee a nonexclusive, royalty-free, world-wide license to reproduce,
+analyze, test, perform and/or display publicly, prepare derivative works,
+distribute, and otherwise use Python alone or in any derivative version,
+provided, however, that PSF's License Agreement and PSF's notice of copyright,
+i.e., "Copyright (c) 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010,
+2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018 Python Software Foundation; All
+Rights Reserved" are retained in Python alone or in any derivative version
+prepared by Licensee.
+
+3. In the event Licensee prepares a derivative work that is based on
+or incorporates Python or any part thereof, and wants to make
+the derivative work available to others as provided herein, then
+Licensee hereby agrees to include in any such work a brief summary of
+the changes made to Python.
+
+4. PSF is making Python available to Licensee on an "AS IS"
+basis. PSF MAKES NO REPRESENTATIONS OR WARRANTIES, EXPRESS OR
+IMPLIED. BY WAY OF EXAMPLE, BUT NOT LIMITATION, PSF MAKES NO AND
+DISCLAIMS ANY REPRESENTATION OR WARRANTY OF MERCHANTABILITY OR FITNESS
+FOR ANY PARTICULAR PURPOSE OR THAT THE USE OF PYTHON WILL NOT
+INFRINGE ANY THIRD PARTY RIGHTS.
+
+5. PSF SHALL NOT BE LIABLE TO LICENSEE OR ANY OTHER USERS OF PYTHON
+FOR ANY INCIDENTAL, SPECIAL, OR CONSEQUENTIAL DAMAGES OR LOSS AS
+A RESULT OF MODIFYING, DISTRIBUTING, OR OTHERWISE USING PYTHON,
+OR ANY DERIVATIVE THEREOF, EVEN IF ADVISED OF THE POSSIBILITY THEREOF.
+
+6. This License Agreement will automatically terminate upon a material
+breach of its terms and conditions.
+
+7. Nothing in this License Agreement shall be deemed to create any
+relationship of agency, partnership, or joint venture between PSF and
+Licensee. This License Agreement does not grant permission to use PSF
+trademarks or trade name in a trademark sense to endorse or promote
+products or services of Licensee, or any third party.
+
+8. By copying, installing or otherwise using Python, Licensee
+agrees to be bound by the terms and conditions of this License
+Agreement.
+
+
+BEOPEN.COM LICENSE AGREEMENT FOR PYTHON 2.0
+-------------------------------------------
+
+BEOPEN PYTHON OPEN SOURCE LICENSE AGREEMENT VERSION 1
+
+1. This LICENSE AGREEMENT is between BeOpen.com ("BeOpen"), having an
+office at 160 Saratoga Avenue, Santa Clara, CA 95051, and the
+Individual or Organization ("Licensee") accessing and otherwise using
+this software in source or binary form and its associated
+documentation ("the Software").
+
+2. Subject to the terms and conditions of this BeOpen Python License
+Agreement, BeOpen hereby grants Licensee a non-exclusive,
+royalty-free, world-wide license to reproduce, analyze, test, perform
+and/or display publicly, prepare derivative works, distribute, and
+otherwise use the Software alone or in any derivative version,
+provided, however, that the BeOpen Python License is retained in the
+Software, alone or in any derivative version prepared by Licensee.
+
+3. BeOpen is making the Software available to Licensee on an "AS IS"
+basis. BEOPEN MAKES NO REPRESENTATIONS OR WARRANTIES, EXPRESS OR
+IMPLIED. BY WAY OF EXAMPLE, BUT NOT LIMITATION, BEOPEN MAKES NO AND
+DISCLAIMS ANY REPRESENTATION OR WARRANTY OF MERCHANTABILITY OR FITNESS
+FOR ANY PARTICULAR PURPOSE OR THAT THE USE OF THE SOFTWARE WILL NOT
+INFRINGE ANY THIRD PARTY RIGHTS.
+
+4. BEOPEN SHALL NOT BE LIABLE TO LICENSEE OR ANY OTHER USERS OF THE
+SOFTWARE FOR ANY INCIDENTAL, SPECIAL, OR CONSEQUENTIAL DAMAGES OR LOSS
+AS A RESULT OF USING, MODIFYING OR DISTRIBUTING THE SOFTWARE, OR ANY
+DERIVATIVE THEREOF, EVEN IF ADVISED OF THE POSSIBILITY THEREOF.
+
+5. This License Agreement will automatically terminate upon a material
+breach of its terms and conditions.
+
+6. This License Agreement shall be governed by and interpreted in all
+respects by the law of the State of California, excluding conflict of
+law provisions. Nothing in this License Agreement shall be deemed to
+create any relationship of agency, partnership, or joint venture
+between BeOpen and Licensee. This License Agreement does not grant
+permission to use BeOpen trademarks or trade names in a trademark
+sense to endorse or promote products or services of Licensee, or any
+third party. As an exception, the "BeOpen Python" logos available at
+http://www.pythonlabs.com/logos.html may be used according to the
+permissions granted on that web page.
+
+7. By copying, installing or otherwise using the software, Licensee
+agrees to be bound by the terms and conditions of this License
+Agreement.
+
+
+CNRI LICENSE AGREEMENT FOR PYTHON 1.6.1
+---------------------------------------
+
+1. This LICENSE AGREEMENT is between the Corporation for National
+Research Initiatives, having an office at 1895 Preston White Drive,
+Reston, VA 20191 ("CNRI"), and the Individual or Organization
+("Licensee") accessing and otherwise using Python 1.6.1 software in
+source or binary form and its associated documentation.
+
+2. Subject to the terms and conditions of this License Agreement, CNRI
+hereby grants Licensee a nonexclusive, royalty-free, world-wide
+license to reproduce, analyze, test, perform and/or display publicly,
+prepare derivative works, distribute, and otherwise use Python 1.6.1
+alone or in any derivative version, provided, however, that CNRI's
+License Agreement and CNRI's notice of copyright, i.e., "Copyright (c)
+1995-2001 Corporation for National Research Initiatives; All Rights
+Reserved" are retained in Python 1.6.1 alone or in any derivative
+version prepared by Licensee. Alternately, in lieu of CNRI's License
+Agreement, Licensee may substitute the following text (omitting the
+quotes): "Python 1.6.1 is made available subject to the terms and
+conditions in CNRI's License Agreement. This Agreement together with
+Python 1.6.1 may be located on the Internet using the following
+unique, persistent identifier (known as a handle): 1895.22/1013. This
+Agreement may also be obtained from a proxy server on the Internet
+using the following URL: http://hdl.handle.net/1895.22/1013".
+
+3. In the event Licensee prepares a derivative work that is based on
+or incorporates Python 1.6.1 or any part thereof, and wants to make
+the derivative work available to others as provided herein, then
+Licensee hereby agrees to include in any such work a brief summary of
+the changes made to Python 1.6.1.
+
+4. CNRI is making Python 1.6.1 available to Licensee on an "AS IS"
+basis. CNRI MAKES NO REPRESENTATIONS OR WARRANTIES, EXPRESS OR
+IMPLIED. BY WAY OF EXAMPLE, BUT NOT LIMITATION, CNRI MAKES NO AND
+DISCLAIMS ANY REPRESENTATION OR WARRANTY OF MERCHANTABILITY OR FITNESS
+FOR ANY PARTICULAR PURPOSE OR THAT THE USE OF PYTHON 1.6.1 WILL NOT
+INFRINGE ANY THIRD PARTY RIGHTS.
+
+5. CNRI SHALL NOT BE LIABLE TO LICENSEE OR ANY OTHER USERS OF PYTHON
+1.6.1 FOR ANY INCIDENTAL, SPECIAL, OR CONSEQUENTIAL DAMAGES OR LOSS AS
+A RESULT OF MODIFYING, DISTRIBUTING, OR OTHERWISE USING PYTHON 1.6.1,
+OR ANY DERIVATIVE THEREOF, EVEN IF ADVISED OF THE POSSIBILITY THEREOF.
+
+6. This License Agreement will automatically terminate upon a material
+breach of its terms and conditions.
+
+7. This License Agreement shall be governed by the federal
+intellectual property law of the United States, including without
+limitation the federal copyright law, and, to the extent such
+U.S. federal law does not apply, by the law of the Commonwealth of
+Virginia, excluding Virginia's conflict of law provisions.
+Notwithstanding the foregoing, with regard to derivative works based
+on Python 1.6.1 that incorporate non-separable material that was
+previously distributed under the GNU General Public License (GPL), the
+law of the Commonwealth of Virginia shall govern this License
+Agreement only as to issues arising under or with respect to
+Paragraphs 4, 5, and 7 of this License Agreement. Nothing in this
+License Agreement shall be deemed to create any relationship of
+agency, partnership, or joint venture between CNRI and Licensee. This
+License Agreement does not grant permission to use CNRI trademarks or
+trade name in a trademark sense to endorse or promote products or
+services of Licensee, or any third party.
+
+8. By clicking on the "ACCEPT" button where indicated, or by copying,
+installing or otherwise using Python 1.6.1, Licensee agrees to be
+bound by the terms and conditions of this License Agreement.
+
+ ACCEPT
+
+
+CWI LICENSE AGREEMENT FOR PYTHON 0.9.0 THROUGH 1.2
+--------------------------------------------------
+
+Copyright (c) 1991 - 1995, Stichting Mathematisch Centrum Amsterdam,
+The Netherlands. All rights reserved.
+
+Permission to use, copy, modify, and distribute this software and its
+documentation for any purpose and without fee is hereby granted,
+provided that the above copyright notice appear in all copies and that
+both that copyright notice and this permission notice appear in
+supporting documentation, and that the name of Stichting Mathematisch
+Centrum or CWI not be used in advertising or publicity pertaining to
+distribution of the software without specific, written prior
+permission.
+
+STICHTING MATHEMATISCH CENTRUM DISCLAIMS ALL WARRANTIES WITH REGARD TO
+THIS SOFTWARE, INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY AND
+FITNESS, IN NO EVENT SHALL STICHTING MATHEMATISCH CENTRUM BE LIABLE
+FOR ANY SPECIAL, INDIRECT OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES
+WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS, WHETHER IN AN
+ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS ACTION, ARISING OUT
+OF OR IN CONNECTION WITH THE USE OR PERFORMANCE OF THIS SOFTWARE.
blinker
-1.7.0
+1.8.2
MIT License
Copyright 2010 Jason Kirtland
@@ -1847,8 +2421,13 @@ OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
+catboost
+1.2.5
+Apache License, Version 2.0
+UNKNOWN
+
certifi
-2024.2.2
+2024.7.4
Mozilla Public License 2.0 (MPL 2.0)
This package contains a modified version of ca-bundle.crt:
@@ -2438,7 +3017,7 @@ SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
cloudpathlib
-0.16.0
+0.18.1
MIT License
MIT License
@@ -2558,7 +3137,7 @@ OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
confection
-0.1.4
+0.1.5
MIT License
MIT License
@@ -2584,11 +3163,11 @@ SOFTWARE.
contourpy
-1.2.0
+1.2.1
BSD License
BSD 3-Clause License
-Copyright (c) 2021-2023, ContourPy Developers.
+Copyright (c) 2021-2024, ContourPy Developers.
All rights reserved.
Redistribution and use in source and binary forms, with or without
@@ -2675,7 +3254,7 @@ THE SOFTWARE.
datamodel-code-generator
-0.25.4
+0.25.5
MIT License
MIT License
@@ -3549,7 +4128,7 @@ OF OR IN CONNECTION WITH THE USE OR PERFORMANCE OF THIS SOFTWARE.
docker
-7.0.0
+7.1.0
Apache Software License
Apache License
@@ -3803,7 +4382,7 @@ THE SOFTWARE.
evaluate
-0.4.1
+0.4.2
Apache Software License
Apache License
@@ -4010,7 +4589,7 @@ Apache Software License
exceptiongroup
-1.2.0
+1.2.1
MIT License
The MIT License (MIT)
@@ -4088,7 +4667,7 @@ Agreement.
execnet
-2.0.2
+2.1.1
MIT License
Permission is hereby granted, free of charge, to any person obtaining a copy
@@ -4137,7 +4716,7 @@ THE SOFTWARE.
filelock
-3.13.1
+3.15.4
The Unlicense (Unlicense)
This is free and unencumbered software released into the public domain.
@@ -4217,12 +4796,12 @@ SOFTWARE.
flatbuffers
-23.5.26
+24.3.25
Apache Software License
UNKNOWN
fonttools
-4.49.0
+4.53.0
MIT License
MIT License
@@ -4454,7 +5033,7 @@ Apache License
fsspec
-2024.2.0
+2024.6.0
BSD License
BSD 3-Clause License
@@ -4522,7 +5101,7 @@ OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
genson
-1.2.2
+1.3.0
MIT License
The MIT License (MIT)
@@ -4657,7 +5236,7 @@ in the distribution package.
google-auth
-2.28.1
+2.30.0
Apache Software License
Apache License
Version 2.0, January 2004
@@ -5276,7 +5855,7 @@ Apache Software License
googleapis-common-protos
-1.62.0
+1.63.1
Apache Software License
Apache License
@@ -5562,6 +6141,32 @@ OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
+graphviz
+0.20.3
+MIT License
+The MIT License (MIT)
+
+Copyright (c) 2013-2024 Sebastian Bank
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in
+all copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
+THE SOFTWARE.
+
+
greenlet
3.0.3
MIT License
@@ -5598,7 +6203,7 @@ THE SOFTWARE.
grpcio
-1.62.1
+1.64.1
Apache Software License
Apache License
@@ -6218,9 +6823,32 @@ Apache Software License
UNKNOWN
gunicorn
-21.2.0
+22.0.0
MIT License
-UNKNOWN
+2009-2024 (c) Benoît Chesneau <benoitc@gunicorn.org>
+2009-2015 (c) Paul J. Davis <paul.joseph.davis@gmail.com>
+
+Permission is hereby granted, free of charge, to any person
+obtaining a copy of this software and associated documentation
+files (the "Software"), to deal in the Software without
+restriction, including without limitation the rights to use,
+copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the
+Software is furnished to do so, subject to the following
+conditions:
+
+The above copyright notice and this permission notice shall be
+included in all copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
+EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES
+OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
+NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT
+HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY,
+WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
+FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR
+OTHER DEALINGS IN THE SOFTWARE.
+
h11
0.14.0
@@ -6250,7 +6878,7 @@ WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
h5py
-3.10.0
+3.11.0
BSD License
Copyright (c) 2008 Andrew Collette and contributors
All rights reserved.
@@ -6285,7 +6913,7 @@ OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
httpcore
-1.0.4
+1.0.5
BSD License
Copyright © 2020, [Encode OSS Ltd](https://www.encode.io/).
All rights reserved.
@@ -6333,306 +6961,332 @@ Redistribution and use in source and binary forms, with or without modification,
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
-huggingface-hub
-0.21.3
-Apache Software License
- Apache License
- Version 2.0, January 2004
- http://www.apache.org/licenses/
-
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- you may not use this file except in compliance with the License.
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- See the License for the specific language governing permissions and
- limitations under the License.
-
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-humanfriendly
-10.0
+httpx-sse
+0.4.0
+MIT
MIT License
-Copyright (c) 2021 Peter Odding
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+Copyright (c) 2022 Florimond Manca
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-BSD 3-Clause License
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-BSD License
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-importlib-metadata
-6.11.0
+huggingface-hub
+0.23.4
Apache Software License
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+humanfriendly
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+
+Permission is hereby granted, free of charge, to any person obtaining
+a copy of this software and associated documentation files (the
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+included in all copies or substantial portions of the Software.
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+EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
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+NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE
+LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION
+OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION
+WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
+
+
+idna
+3.7
+BSD License
+BSD 3-Clause License
+
+Copyright (c) 2013-2024, Kim Davies and contributors.
+All rights reserved.
+
+Redistribution and use in source and binary forms, with or without
+modification, are permitted provided that the following conditions are
+met:
+
+1. Redistributions of source code must retain the above copyright
+ notice, this list of conditions and the following disclaimer.
+
+2. Redistributions in binary form must reproduce the above copyright
+ notice, this list of conditions and the following disclaimer in the
+ documentation and/or other materials provided with the distribution.
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+HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
+SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED
+TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
+PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF
+LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING
+NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
+SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+
+
+imageio
+2.34.1
+BSD License
+Copyright (c) 2014-2022, imageio developers
+All rights reserved.
+
+Redistribution and use in source and binary forms, with or without
+modification, are permitted provided that the following conditions are met:
+
+* Redistributions of source code must retain the above copyright notice, this
+ list of conditions and the following disclaimer.
+
+* Redistributions in binary form must reproduce the above copyright notice,
+ this list of conditions and the following disclaimer in the documentation
+ and/or other materials provided with the distribution.
+
+THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
+AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
+IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
+DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
+FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
+DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
+SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
+CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
+OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
+OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+
+
+
+importlib_metadata
+7.1.0
+Apache Software License
+
Apache License
Version 2.0, January 2004
http://www.apache.org/licenses/
@@ -6837,7 +7491,7 @@ Apache Software License
importlib_resources
-6.3.1
+6.4.0
Apache Software License
Apache License
@@ -7118,7 +7772,7 @@ SOFTWARE.
itsdangerous
-2.1.2
+2.2.0
BSD License
Copyright 2011 Pallets
@@ -7151,7 +7805,7 @@ SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
joblib
-1.3.2
+1.4.2
BSD License
BSD 3-Clause License
@@ -7473,7 +8127,7 @@ to indicate the copyright and license terms:
langcodes
-3.3.0
+3.4.0
MIT License
Copyright (C) 2021 Robyn Speer (rspeer@arborelia.net)
MIT License
@@ -7497,8 +8151,27 @@ OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
+language_data
+1.2.0
+MIT License
+Copyright 2024 Robyn Speer
+
+Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated
+documentation files (the "Software"), to deal in the Software without restriction, including without limitation
+the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to
+permit persons to whom the Software is furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all copies or substantial portions of the
+Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE
+WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR
+COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR
+OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
+
+
lazy_loader
-0.3
+0.4
BSD License
BSD 3-Clause License
@@ -7532,7 +8205,7 @@ OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
libclang
-16.0.6
+18.1.1
Apache Software License
==============================================================================
The LLVM Project is under the Apache License v2.0 with LLVM Exceptions:
@@ -7841,7 +8514,7 @@ SOFTWARE.
lightning-utilities
-0.10.1
+0.11.2
Apache-2.0
Apache License
Version 2.0, January 2004
@@ -8047,7 +8720,7 @@ Apache-2.0
llvmlite
-0.41.1
+0.42.0
BSD
Copyright (c) 2014-, Continuum Analytics, Inc.
All rights reserved.
@@ -8109,134 +8782,157 @@ OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
-matplotlib
-3.8.3
-Python Software Foundation License
-The STIX fonts distributed with matplotlib have been modified from
-their canonical form. They have been converted from OTF to TTF format
-using Fontforge and this script:
+marisa-trie
+1.2.0
+MIT License
+Copyright (c) marisa-trie authors and contributors, 2012-2024
- #!/usr/bin/env fontforge
- i=1
- while ( i<$argc )
- Open($argv[i])
- Generate($argv[i]:r + ".ttf")
- i = i+1
- endloop
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is furnished
+to do so, subject to the following conditions:
-The original STIX Font License begins below.
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
------------------------------------------------------------
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED,
+INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR
+A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT
+HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF
+CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE
+OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
-STIX Font License
-24 May 2010
+markdown-it-py
+3.0.0
+MIT License
+MIT License
-Copyright (c) 2001-2010 by the STI Pub Companies, consisting of the American
-Institute of Physics, the American Chemical Society, the American Mathematical
-Society, the American Physical Society, Elsevier, Inc., and The Institute of
-Electrical and Electronic Engineers, Inc. (www.stixfonts.org), with Reserved
-Font Name STIX Fonts, STIX Fonts (TM) is a trademark of The Institute of
-Electrical and Electronics Engineers, Inc.
+Copyright (c) 2020 ExecutableBookProject
-Portions copyright (c) 1998-2003 by MicroPress, Inc. (www.micropress-inc.com),
-with Reserved Font Name TM Math. To obtain additional mathematical fonts, please
-contact MicroPress, Inc., 68-30 Harrow Street, Forest Hills, NY 11375, USA,
-Phone: (718) 575-1816.
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
-Portions copyright (c) 1990 by Elsevier, Inc.
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
-This Font Software is licensed under the SIL Open Font License, Version 1.1.
-This license is copied below, and is also available with a FAQ at:
-https://scripts.sil.org/OFL
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.
------------------------------------------------------------
-SIL OPEN FONT LICENSE Version 1.1 - 26 February 2007
------------------------------------------------------------
-PREAMBLE
-The goals of the Open Font License (OFL) are to stimulate worldwide
-development of collaborative font projects, to support the font creation
-efforts of academic and linguistic communities, and to provide a free and
-open framework in which fonts may be shared and improved in partnership
-with others.
-
-The OFL allows the licensed fonts to be used, studied, modified and
-redistributed freely as long as they are not sold by themselves. The
-fonts, including any derivative works, can be bundled, embedded,
-redistributed and/or sold with any software provided that any reserved
-names are not used by derivative works. The fonts and derivatives,
-however, cannot be released under any other type of license. The
-requirement for fonts to remain under this license does not apply
-to any document created using the fonts or their derivatives.
-
-DEFINITIONS
-"Font Software" refers to the set of files released by the Copyright
-Holder(s) under this license and clearly marked as such. This may
-include source files, build scripts and documentation.
-
-"Reserved Font Name" refers to any names specified as such after the
-copyright statement(s).
-
-"Original Version" refers to the collection of Font Software components as
-distributed by the Copyright Holder(s).
-
-"Modified Version" refers to any derivative made by adding to, deleting,
-or substituting -- in part or in whole -- any of the components of the
-Original Version, by changing formats or by porting the Font Software to a
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-
-"Author" refers to any designer, engineer, programmer, technical
-writer or other person who contributed to the Font Software.
-
-PERMISSION & CONDITIONS
-Permission is hereby granted, free of charge, to any person obtaining
-a copy of the Font Software, to use, study, copy, merge, embed, modify,
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-Software, subject to the following conditions:
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-1) Neither the Font Software nor any of its individual components,
-in Original or Modified Versions, may be sold by itself.
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-
-3) No Modified Version of the Font Software may use the Reserved Font
-Name(s) unless explicit written permission is granted by the corresponding
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-presented to the users.
-
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-Software shall not be used to promote, endorse or advertise any
-Modified Version, except to acknowledge the contribution(s) of the
-Copyright Holder(s) and the Author(s) or with their explicit written
-permission.
+matplotlib
+3.9.0
+Python Software Foundation License
+License agreement for matplotlib versions 1.3.0 and later
+=========================================================
+
+1. This LICENSE AGREEMENT is between the Matplotlib Development Team
+("MDT"), and the Individual or Organization ("Licensee") accessing and
+otherwise using matplotlib software in source or binary form and its
+associated documentation.
+
+2. Subject to the terms and conditions of this License Agreement, MDT
+hereby grants Licensee a nonexclusive, royalty-free, world-wide license
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+License Agreement and MDT's notice of copyright, i.e., "Copyright (c)
+2012- Matplotlib Development Team; All Rights Reserved" are retained in
+matplotlib alone or in any derivative version prepared by
+Licensee.
+
+3. In the event Licensee prepares a derivative work that is based on or
+incorporates matplotlib or any part thereof, and wants to
+make the derivative work available to others as provided herein, then
+Licensee hereby agrees to include in any such work a brief summary of
+the changes made to matplotlib .
-5) The Font Software, modified or unmodified, in part or in whole,
-must be distributed entirely under this license, and must not be
-distributed under any other license. The requirement for fonts to
-remain under this license does not apply to any document created
-using the Font Software.
+4. MDT is making matplotlib available to Licensee on an "AS
+IS" basis. MDT MAKES NO REPRESENTATIONS OR WARRANTIES, EXPRESS OR
+IMPLIED. BY WAY OF EXAMPLE, BUT NOT LIMITATION, MDT MAKES NO AND
+DISCLAIMS ANY REPRESENTATION OR WARRANTY OF MERCHANTABILITY OR FITNESS
+FOR ANY PARTICULAR PURPOSE OR THAT THE USE OF MATPLOTLIB
+WILL NOT INFRINGE ANY THIRD PARTY RIGHTS.
+
+5. MDT SHALL NOT BE LIABLE TO LICENSEE OR ANY OTHER USERS OF MATPLOTLIB
+ FOR ANY INCIDENTAL, SPECIAL, OR CONSEQUENTIAL DAMAGES OR
+LOSS AS A RESULT OF MODIFYING, DISTRIBUTING, OR OTHERWISE USING
+MATPLOTLIB , OR ANY DERIVATIVE THEREOF, EVEN IF ADVISED OF
+THE POSSIBILITY THEREOF.
+
+6. This License Agreement will automatically terminate upon a material
+breach of its terms and conditions.
+
+7. Nothing in this License Agreement shall be deemed to create any
+relationship of agency, partnership, or joint venture between MDT and
+Licensee. This License Agreement does not grant permission to use MDT
+trademarks or trade name in a trademark sense to endorse or promote
+products or services of Licensee, or any third party.
-TERMINATION
-This license becomes null and void if any of the above conditions are
-not met.
+8. By copying, installing or otherwise using matplotlib ,
+Licensee agrees to be bound by the terms and conditions of this License
+Agreement.
-DISCLAIMER
-THE FONT SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
-EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO ANY WARRANTIES OF
-MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT
-OF COPYRIGHT, PATENT, TRADEMARK, OR OTHER RIGHT. IN NO EVENT SHALL THE
-COPYRIGHT HOLDER BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY,
-INCLUDING ANY GENERAL, SPECIAL, INDIRECT, INCIDENTAL, OR CONSEQUENTIAL
-DAMAGES, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
-FROM, OUT OF THE USE OR INABILITY TO USE THE FONT SOFTWARE OR FROM
-OTHER DEALINGS IN THE FONT SOFTWARE.
+License agreement for matplotlib versions prior to 1.3.0
+========================================================
+1. This LICENSE AGREEMENT is between John D. Hunter ("JDH"), and the
+Individual or Organization ("Licensee") accessing and otherwise using
+matplotlib software in source or binary form and its associated
+documentation.
+
+2. Subject to the terms and conditions of this License Agreement, JDH
+hereby grants Licensee a nonexclusive, royalty-free, world-wide license
+to reproduce, analyze, test, perform and/or display publicly, prepare
+derivative works, distribute, and otherwise use matplotlib
+alone or in any derivative version, provided, however, that JDH's
+License Agreement and JDH's notice of copyright, i.e., "Copyright (c)
+2002-2011 John D. Hunter; All Rights Reserved" are retained in
+matplotlib alone or in any derivative version prepared by
+Licensee.
+
+3. In the event Licensee prepares a derivative work that is based on or
+incorporates matplotlib or any part thereof, and wants to
+make the derivative work available to others as provided herein, then
+Licensee hereby agrees to include in any such work a brief summary of
+the changes made to matplotlib.
+
+4. JDH is making matplotlib available to Licensee on an "AS
+IS" basis. JDH MAKES NO REPRESENTATIONS OR WARRANTIES, EXPRESS OR
+IMPLIED. BY WAY OF EXAMPLE, BUT NOT LIMITATION, JDH MAKES NO AND
+DISCLAIMS ANY REPRESENTATION OR WARRANTY OF MERCHANTABILITY OR FITNESS
+FOR ANY PARTICULAR PURPOSE OR THAT THE USE OF MATPLOTLIB
+WILL NOT INFRINGE ANY THIRD PARTY RIGHTS.
+
+5. JDH SHALL NOT BE LIABLE TO LICENSEE OR ANY OTHER USERS OF MATPLOTLIB
+ FOR ANY INCIDENTAL, SPECIAL, OR CONSEQUENTIAL DAMAGES OR
+LOSS AS A RESULT OF MODIFYING, DISTRIBUTING, OR OTHERWISE USING
+MATPLOTLIB , OR ANY DERIVATIVE THEREOF, EVEN IF ADVISED OF
+THE POSSIBILITY THEREOF.
+
+6. This License Agreement will automatically terminate upon a material
+breach of its terms and conditions.
+
+7. Nothing in this License Agreement shall be deemed to create any
+relationship of agency, partnership, or joint venture between JDH and
+Licensee. This License Agreement does not grant permission to use JDH
+trademarks or trade name in a trademark sense to endorse or promote
+products or services of Licensee, or any third party.
+
+8. By copying, installing or otherwise using matplotlib,
+Licensee agrees to be bound by the terms and conditions of this License
+Agreement.
mccabe
0.7.0
@@ -8268,6 +8964,57 @@ CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
+mdurl
+0.1.2
+MIT License
+Copyright (c) 2015 Vitaly Puzrin, Alex Kocharin.
+Copyright (c) 2021 Taneli Hukkinen
+
+Permission is hereby granted, free of charge, to any person
+obtaining a copy of this software and associated documentation
+files (the "Software"), to deal in the Software without
+restriction, including without limitation the rights to use,
+copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the
+Software is furnished to do so, subject to the following
+conditions:
+
+The above copyright notice and this permission notice shall be
+included in all copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
+EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES
+OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
+NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT
+HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY,
+WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
+FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR
+OTHER DEALINGS IN THE SOFTWARE.
+
+--------------------------------------------------------------------------------
+
+.parse() is based on Joyent's node.js `url` code:
+
+Copyright Joyent, Inc. and other Node contributors. All rights reserved.
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to
+deal in the Software without restriction, including without limitation the
+rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
+sell copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in
+all copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
+FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS
+IN THE SOFTWARE.
+
+
ml-dtypes
0.2.0
Apache Software License
@@ -8647,8 +9394,8 @@ Exhibit B - "Incompatible With Secondary Licenses" Notice
mlflow
-2.11.1
-Apache License 2.0
+2.13.1
+Apache Software License
Copyright 2018 Databricks, Inc. All rights reserved.
Apache License
@@ -8854,7 +9601,7 @@ Copyright 2018 Databricks, Inc. All rights reserved.
mlserver
-1.5.0.dev1
+1.6.0.dev2
Apache Software License
Apache License
Version 2.0, January 2004
@@ -9060,7 +9807,7 @@ Apache Software License
mlserver-alibi-detect
-1.5.0.dev1
+1.6.0.dev2
Apache Software License
Apache License
Version 2.0, January 2004
@@ -9266,7 +10013,7 @@ Apache Software License
mlserver-alibi-explain
-1.5.0.dev1
+1.6.0.dev2
Apache Software License
Apache License
Version 2.0, January 2004
@@ -9471,8 +10218,626 @@ Apache Software License
limitations under the License.
+mlserver-catboost
+1.6.0.dev2
+Apache Software License
+ Apache License
+ Version 2.0, January 2004
+ http://www.apache.org/licenses/
+
+ TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
+
+ 1. Definitions.
+
+ "License" shall mean the terms and conditions for use, reproduction,
+ and distribution as defined by Sections 1 through 9 of this document.
+
+ "Licensor" shall mean the copyright owner or entity authorized by
+ the copyright owner that is granting the License.
+
+ "Legal Entity" shall mean the union of the acting entity and all
+ other entities that control, are controlled by, or are under common
+ control with that entity. For the purposes of this definition,
+ "control" means (i) the power, direct or indirect, to cause the
+ direction or management of such entity, whether by contract or
+ otherwise, or (ii) ownership of fifty percent (50%) or more of the
+ outstanding shares, or (iii) beneficial ownership of such entity.
+
+ "You" (or "Your") shall mean an individual or Legal Entity
+ exercising permissions granted by this License.
+
+ "Source" form shall mean the preferred form for making modifications,
+ including but not limited to software source code, documentation
+ source, and configuration files.
+
+ "Object" form shall mean any form resulting from mechanical
+ transformation or translation of a Source form, including but
+ not limited to compiled object code, generated documentation,
+ and conversions to other media types.
+
+ "Work" shall mean the work of authorship, whether in Source or
+ Object form, made available under the License, as indicated by a
+ copyright notice that is included in or attached to the work
+ (an example is provided in the Appendix below).
+
+ "Derivative Works" shall mean any work, whether in Source or Object
+ form, that is based on (or derived from) the Work and for which the
+ editorial revisions, annotations, elaborations, or other modifications
+ represent, as a whole, an original work of authorship. For the purposes
+ of this License, Derivative Works shall not include works that remain
+ separable from, or merely link (or bind by name) to the interfaces of,
+ the Work and Derivative Works thereof.
+
+ "Contribution" shall mean any work of authorship, including
+ the original version of the Work and any modifications or additions
+ to that Work or Derivative Works thereof, that is intentionally
+ submitted to Licensor for inclusion in the Work by the copyright owner
+ or by an individual or Legal Entity authorized to submit on behalf of
+ the copyright owner. For the purposes of this definition, "submitted"
+ means any form of electronic, verbal, or written communication sent
+ to the Licensor or its representatives, including but not limited to
+ communication on electronic mailing lists, source code control systems,
+ and issue tracking systems that are managed by, or on behalf of, the
+ Licensor for the purpose of discussing and improving the Work, but
+ excluding communication that is conspicuously marked or otherwise
+ designated in writing by the copyright owner as "Not a Contribution."
+
+ "Contributor" shall mean Licensor and any individual or Legal Entity
+ on behalf of whom a Contribution has been received by Licensor and
+ subsequently incorporated within the Work.
+
+ 2. Grant of Copyright License. Subject to the terms and conditions of
+ this License, each Contributor hereby grants to You a perpetual,
+ worldwide, non-exclusive, no-charge, royalty-free, irrevocable
+ copyright license to reproduce, prepare Derivative Works of,
+ publicly display, publicly perform, sublicense, and distribute the
+ Work and such Derivative Works in Source or Object form.
+
+ 3. Grant of Patent License. Subject to the terms and conditions of
+ this License, each Contributor hereby grants to You a perpetual,
+ worldwide, non-exclusive, no-charge, royalty-free, irrevocable
+ (except as stated in this section) patent license to make, have made,
+ use, offer to sell, sell, import, and otherwise transfer the Work,
+ where such license applies only to those patent claims licensable
+ by such Contributor that are necessarily infringed by their
+ Contribution(s) alone or by combination of their Contribution(s)
+ with the Work to which such Contribution(s) was submitted. If You
+ institute patent litigation against any entity (including a
+ cross-claim or counterclaim in a lawsuit) alleging that the Work
+ or a Contribution incorporated within the Work constitutes direct
+ or contributory patent infringement, then any patent licenses
+ granted to You under this License for that Work shall terminate
+ as of the date such litigation is filed.
+
+ 4. Redistribution. You may reproduce and distribute copies of the
+ Work or Derivative Works thereof in any medium, with or without
+ modifications, and in Source or Object form, provided that You
+ meet the following conditions:
+
+ (a) You must give any other recipients of the Work or
+ Derivative Works a copy of this License; and
+
+ (b) You must cause any modified files to carry prominent notices
+ stating that You changed the files; and
+
+ (c) You must retain, in the Source form of any Derivative Works
+ that You distribute, all copyright, patent, trademark, and
+ attribution notices from the Source form of the Work,
+ excluding those notices that do not pertain to any part of
+ the Derivative Works; and
+
+ (d) If the Work includes a "NOTICE" text file as part of its
+ distribution, then any Derivative Works that You distribute must
+ include a readable copy of the attribution notices contained
+ within such NOTICE file, excluding those notices that do not
+ pertain to any part of the Derivative Works, in at least one
+ of the following places: within a NOTICE text file distributed
+ as part of the Derivative Works; within the Source form or
+ documentation, if provided along with the Derivative Works; or,
+ within a display generated by the Derivative Works, if and
+ wherever such third-party notices normally appear. The contents
+ of the NOTICE file are for informational purposes only and
+ do not modify the License. You may add Your own attribution
+ notices within Derivative Works that You distribute, alongside
+ or as an addendum to the NOTICE text from the Work, provided
+ that such additional attribution notices cannot be construed
+ as modifying the License.
+
+ You may add Your own copyright statement to Your modifications and
+ may provide additional or different license terms and conditions
+ for use, reproduction, or distribution of Your modifications, or
+ for any such Derivative Works as a whole, provided Your use,
+ reproduction, and distribution of the Work otherwise complies with
+ the conditions stated in this License.
+
+ 5. Submission of Contributions. Unless You explicitly state otherwise,
+ any Contribution intentionally submitted for inclusion in the Work
+ by You to the Licensor shall be under the terms and conditions of
+ this License, without any additional terms or conditions.
+ Notwithstanding the above, nothing herein shall supersede or modify
+ the terms of any separate license agreement you may have executed
+ with Licensor regarding such Contributions.
+
+ 6. Trademarks. This License does not grant permission to use the trade
+ names, trademarks, service marks, or product names of the Licensor,
+ except as required for reasonable and customary use in describing the
+ origin of the Work and reproducing the content of the NOTICE file.
+
+ 7. Disclaimer of Warranty. Unless required by applicable law or
+ agreed to in writing, Licensor provides the Work (and each
+ Contributor provides its Contributions) on an "AS IS" BASIS,
+ WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or
+ implied, including, without limitation, any warranties or conditions
+ of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A
+ PARTICULAR PURPOSE. You are solely responsible for determining the
+ appropriateness of using or redistributing the Work and assume any
+ risks associated with Your exercise of permissions under this License.
+
+ 8. Limitation of Liability. In no event and under no legal theory,
+ whether in tort (including negligence), contract, or otherwise,
+ unless required by applicable law (such as deliberate and grossly
+ negligent acts) or agreed to in writing, shall any Contributor be
+ liable to You for damages, including any direct, indirect, special,
+ incidental, or consequential damages of any character arising as a
+ result of this License or out of the use or inability to use the
+ Work (including but not limited to damages for loss of goodwill,
+ work stoppage, computer failure or malfunction, or any and all
+ other commercial damages or losses), even if such Contributor
+ has been advised of the possibility of such damages.
+
+ 9. Accepting Warranty or Additional Liability. While redistributing
+ the Work or Derivative Works thereof, You may choose to offer,
+ and charge a fee for, acceptance of support, warranty, indemnity,
+ or other liability obligations and/or rights consistent with this
+ License. However, in accepting such obligations, You may act only
+ on Your own behalf and on Your sole responsibility, not on behalf
+ of any other Contributor, and only if You agree to indemnify,
+ defend, and hold each Contributor harmless for any liability
+ incurred by, or claims asserted against, such Contributor by reason
+ of your accepting any such warranty or additional liability.
+
+ END OF TERMS AND CONDITIONS
+
+ APPENDIX: How to apply the Apache License to your work.
+
+ To apply the Apache License to your work, attach the following
+ boilerplate notice, with the fields enclosed by brackets "{}"
+ replaced with your own identifying information. (Don't include
+ the brackets!) The text should be enclosed in the appropriate
+ comment syntax for the file format. We also recommend that a
+ file or class name and description of purpose be included on the
+ same "printed page" as the copyright notice for easier
+ identification within third-party archives.
+
+ Copyright 2020 Seldon Technologies Ltd.
+
+ Licensed under the Apache License, Version 2.0 (the "License");
+ you may not use this file except in compliance with the License.
+ You may obtain a copy of the License at
+
+ http://www.apache.org/licenses/LICENSE-2.0
+
+ Unless required by applicable law or agreed to in writing, software
+ distributed under the License is distributed on an "AS IS" BASIS,
+ WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ See the License for the specific language governing permissions and
+ limitations under the License.
+
+
mlserver-huggingface
-1.5.0.dev1
+1.6.0.dev2
+Apache Software License
+ Apache License
+ Version 2.0, January 2004
+ http://www.apache.org/licenses/
+
+ TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
+
+ 1. Definitions.
+
+ "License" shall mean the terms and conditions for use, reproduction,
+ and distribution as defined by Sections 1 through 9 of this document.
+
+ "Licensor" shall mean the copyright owner or entity authorized by
+ the copyright owner that is granting the License.
+
+ "Legal Entity" shall mean the union of the acting entity and all
+ other entities that control, are controlled by, or are under common
+ control with that entity. For the purposes of this definition,
+ "control" means (i) the power, direct or indirect, to cause the
+ direction or management of such entity, whether by contract or
+ otherwise, or (ii) ownership of fifty percent (50%) or more of the
+ outstanding shares, or (iii) beneficial ownership of such entity.
+
+ "You" (or "Your") shall mean an individual or Legal Entity
+ exercising permissions granted by this License.
+
+ "Source" form shall mean the preferred form for making modifications,
+ including but not limited to software source code, documentation
+ source, and configuration files.
+
+ "Object" form shall mean any form resulting from mechanical
+ transformation or translation of a Source form, including but
+ not limited to compiled object code, generated documentation,
+ and conversions to other media types.
+
+ "Work" shall mean the work of authorship, whether in Source or
+ Object form, made available under the License, as indicated by a
+ copyright notice that is included in or attached to the work
+ (an example is provided in the Appendix below).
+
+ "Derivative Works" shall mean any work, whether in Source or Object
+ form, that is based on (or derived from) the Work and for which the
+ editorial revisions, annotations, elaborations, or other modifications
+ represent, as a whole, an original work of authorship. For the purposes
+ of this License, Derivative Works shall not include works that remain
+ separable from, or merely link (or bind by name) to the interfaces of,
+ the Work and Derivative Works thereof.
+
+ "Contribution" shall mean any work of authorship, including
+ the original version of the Work and any modifications or additions
+ to that Work or Derivative Works thereof, that is intentionally
+ submitted to Licensor for inclusion in the Work by the copyright owner
+ or by an individual or Legal Entity authorized to submit on behalf of
+ the copyright owner. For the purposes of this definition, "submitted"
+ means any form of electronic, verbal, or written communication sent
+ to the Licensor or its representatives, including but not limited to
+ communication on electronic mailing lists, source code control systems,
+ and issue tracking systems that are managed by, or on behalf of, the
+ Licensor for the purpose of discussing and improving the Work, but
+ excluding communication that is conspicuously marked or otherwise
+ designated in writing by the copyright owner as "Not a Contribution."
+
+ "Contributor" shall mean Licensor and any individual or Legal Entity
+ on behalf of whom a Contribution has been received by Licensor and
+ subsequently incorporated within the Work.
+
+ 2. Grant of Copyright License. Subject to the terms and conditions of
+ this License, each Contributor hereby grants to You a perpetual,
+ worldwide, non-exclusive, no-charge, royalty-free, irrevocable
+ copyright license to reproduce, prepare Derivative Works of,
+ publicly display, publicly perform, sublicense, and distribute the
+ Work and such Derivative Works in Source or Object form.
+
+ 3. Grant of Patent License. Subject to the terms and conditions of
+ this License, each Contributor hereby grants to You a perpetual,
+ worldwide, non-exclusive, no-charge, royalty-free, irrevocable
+ (except as stated in this section) patent license to make, have made,
+ use, offer to sell, sell, import, and otherwise transfer the Work,
+ where such license applies only to those patent claims licensable
+ by such Contributor that are necessarily infringed by their
+ Contribution(s) alone or by combination of their Contribution(s)
+ with the Work to which such Contribution(s) was submitted. If You
+ institute patent litigation against any entity (including a
+ cross-claim or counterclaim in a lawsuit) alleging that the Work
+ or a Contribution incorporated within the Work constitutes direct
+ or contributory patent infringement, then any patent licenses
+ granted to You under this License for that Work shall terminate
+ as of the date such litigation is filed.
+
+ 4. Redistribution. You may reproduce and distribute copies of the
+ Work or Derivative Works thereof in any medium, with or without
+ modifications, and in Source or Object form, provided that You
+ meet the following conditions:
+
+ (a) You must give any other recipients of the Work or
+ Derivative Works a copy of this License; and
+
+ (b) You must cause any modified files to carry prominent notices
+ stating that You changed the files; and
+
+ (c) You must retain, in the Source form of any Derivative Works
+ that You distribute, all copyright, patent, trademark, and
+ attribution notices from the Source form of the Work,
+ excluding those notices that do not pertain to any part of
+ the Derivative Works; and
+
+ (d) If the Work includes a "NOTICE" text file as part of its
+ distribution, then any Derivative Works that You distribute must
+ include a readable copy of the attribution notices contained
+ within such NOTICE file, excluding those notices that do not
+ pertain to any part of the Derivative Works, in at least one
+ of the following places: within a NOTICE text file distributed
+ as part of the Derivative Works; within the Source form or
+ documentation, if provided along with the Derivative Works; or,
+ within a display generated by the Derivative Works, if and
+ wherever such third-party notices normally appear. The contents
+ of the NOTICE file are for informational purposes only and
+ do not modify the License. You may add Your own attribution
+ notices within Derivative Works that You distribute, alongside
+ or as an addendum to the NOTICE text from the Work, provided
+ that such additional attribution notices cannot be construed
+ as modifying the License.
+
+ You may add Your own copyright statement to Your modifications and
+ may provide additional or different license terms and conditions
+ for use, reproduction, or distribution of Your modifications, or
+ for any such Derivative Works as a whole, provided Your use,
+ reproduction, and distribution of the Work otherwise complies with
+ the conditions stated in this License.
+
+ 5. Submission of Contributions. Unless You explicitly state otherwise,
+ any Contribution intentionally submitted for inclusion in the Work
+ by You to the Licensor shall be under the terms and conditions of
+ this License, without any additional terms or conditions.
+ Notwithstanding the above, nothing herein shall supersede or modify
+ the terms of any separate license agreement you may have executed
+ with Licensor regarding such Contributions.
+
+ 6. Trademarks. This License does not grant permission to use the trade
+ names, trademarks, service marks, or product names of the Licensor,
+ except as required for reasonable and customary use in describing the
+ origin of the Work and reproducing the content of the NOTICE file.
+
+ 7. Disclaimer of Warranty. Unless required by applicable law or
+ agreed to in writing, Licensor provides the Work (and each
+ Contributor provides its Contributions) on an "AS IS" BASIS,
+ WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or
+ implied, including, without limitation, any warranties or conditions
+ of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A
+ PARTICULAR PURPOSE. You are solely responsible for determining the
+ appropriateness of using or redistributing the Work and assume any
+ risks associated with Your exercise of permissions under this License.
+
+ 8. Limitation of Liability. In no event and under no legal theory,
+ whether in tort (including negligence), contract, or otherwise,
+ unless required by applicable law (such as deliberate and grossly
+ negligent acts) or agreed to in writing, shall any Contributor be
+ liable to You for damages, including any direct, indirect, special,
+ incidental, or consequential damages of any character arising as a
+ result of this License or out of the use or inability to use the
+ Work (including but not limited to damages for loss of goodwill,
+ work stoppage, computer failure or malfunction, or any and all
+ other commercial damages or losses), even if such Contributor
+ has been advised of the possibility of such damages.
+
+ 9. Accepting Warranty or Additional Liability. While redistributing
+ the Work or Derivative Works thereof, You may choose to offer,
+ and charge a fee for, acceptance of support, warranty, indemnity,
+ or other liability obligations and/or rights consistent with this
+ License. However, in accepting such obligations, You may act only
+ on Your own behalf and on Your sole responsibility, not on behalf
+ of any other Contributor, and only if You agree to indemnify,
+ defend, and hold each Contributor harmless for any liability
+ incurred by, or claims asserted against, such Contributor by reason
+ of your accepting any such warranty or additional liability.
+
+ END OF TERMS AND CONDITIONS
+
+ APPENDIX: How to apply the Apache License to your work.
+
+ To apply the Apache License to your work, attach the following
+ boilerplate notice, with the fields enclosed by brackets "{}"
+ replaced with your own identifying information. (Don't include
+ the brackets!) The text should be enclosed in the appropriate
+ comment syntax for the file format. We also recommend that a
+ file or class name and description of purpose be included on the
+ same "printed page" as the copyright notice for easier
+ identification within third-party archives.
+
+ Copyright 2022 Seldon Technologies Ltd.
+
+ Licensed under the Apache License, Version 2.0 (the "License");
+ you may not use this file except in compliance with the License.
+ You may obtain a copy of the License at
+
+ http://www.apache.org/licenses/LICENSE-2.0
+
+ Unless required by applicable law or agreed to in writing, software
+ distributed under the License is distributed on an "AS IS" BASIS,
+ WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ See the License for the specific language governing permissions and
+ limitations under the License.
+
+
+mlserver-lightgbm
+1.6.0.dev2
+Apache Software License
+ Apache License
+ Version 2.0, January 2004
+ http://www.apache.org/licenses/
+
+ TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
+
+ 1. Definitions.
+
+ "License" shall mean the terms and conditions for use, reproduction,
+ and distribution as defined by Sections 1 through 9 of this document.
+
+ "Licensor" shall mean the copyright owner or entity authorized by
+ the copyright owner that is granting the License.
+
+ "Legal Entity" shall mean the union of the acting entity and all
+ other entities that control, are controlled by, or are under common
+ control with that entity. For the purposes of this definition,
+ "control" means (i) the power, direct or indirect, to cause the
+ direction or management of such entity, whether by contract or
+ otherwise, or (ii) ownership of fifty percent (50%) or more of the
+ outstanding shares, or (iii) beneficial ownership of such entity.
+
+ "You" (or "Your") shall mean an individual or Legal Entity
+ exercising permissions granted by this License.
+
+ "Source" form shall mean the preferred form for making modifications,
+ including but not limited to software source code, documentation
+ source, and configuration files.
+
+ "Object" form shall mean any form resulting from mechanical
+ transformation or translation of a Source form, including but
+ not limited to compiled object code, generated documentation,
+ and conversions to other media types.
+
+ "Work" shall mean the work of authorship, whether in Source or
+ Object form, made available under the License, as indicated by a
+ copyright notice that is included in or attached to the work
+ (an example is provided in the Appendix below).
+
+ "Derivative Works" shall mean any work, whether in Source or Object
+ form, that is based on (or derived from) the Work and for which the
+ editorial revisions, annotations, elaborations, or other modifications
+ represent, as a whole, an original work of authorship. For the purposes
+ of this License, Derivative Works shall not include works that remain
+ separable from, or merely link (or bind by name) to the interfaces of,
+ the Work and Derivative Works thereof.
+
+ "Contribution" shall mean any work of authorship, including
+ the original version of the Work and any modifications or additions
+ to that Work or Derivative Works thereof, that is intentionally
+ submitted to Licensor for inclusion in the Work by the copyright owner
+ or by an individual or Legal Entity authorized to submit on behalf of
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+ means any form of electronic, verbal, or written communication sent
+ to the Licensor or its representatives, including but not limited to
+ communication on electronic mailing lists, source code control systems,
+ and issue tracking systems that are managed by, or on behalf of, the
+ Licensor for the purpose of discussing and improving the Work, but
+ excluding communication that is conspicuously marked or otherwise
+ designated in writing by the copyright owner as "Not a Contribution."
+
+ "Contributor" shall mean Licensor and any individual or Legal Entity
+ on behalf of whom a Contribution has been received by Licensor and
+ subsequently incorporated within the Work.
+
+ 2. Grant of Copyright License. Subject to the terms and conditions of
+ this License, each Contributor hereby grants to You a perpetual,
+ worldwide, non-exclusive, no-charge, royalty-free, irrevocable
+ copyright license to reproduce, prepare Derivative Works of,
+ publicly display, publicly perform, sublicense, and distribute the
+ Work and such Derivative Works in Source or Object form.
+
+ 3. Grant of Patent License. Subject to the terms and conditions of
+ this License, each Contributor hereby grants to You a perpetual,
+ worldwide, non-exclusive, no-charge, royalty-free, irrevocable
+ (except as stated in this section) patent license to make, have made,
+ use, offer to sell, sell, import, and otherwise transfer the Work,
+ where such license applies only to those patent claims licensable
+ by such Contributor that are necessarily infringed by their
+ Contribution(s) alone or by combination of their Contribution(s)
+ with the Work to which such Contribution(s) was submitted. If You
+ institute patent litigation against any entity (including a
+ cross-claim or counterclaim in a lawsuit) alleging that the Work
+ or a Contribution incorporated within the Work constitutes direct
+ or contributory patent infringement, then any patent licenses
+ granted to You under this License for that Work shall terminate
+ as of the date such litigation is filed.
+
+ 4. Redistribution. You may reproduce and distribute copies of the
+ Work or Derivative Works thereof in any medium, with or without
+ modifications, and in Source or Object form, provided that You
+ meet the following conditions:
+
+ (a) You must give any other recipients of the Work or
+ Derivative Works a copy of this License; and
+
+ (b) You must cause any modified files to carry prominent notices
+ stating that You changed the files; and
+
+ (c) You must retain, in the Source form of any Derivative Works
+ that You distribute, all copyright, patent, trademark, and
+ attribution notices from the Source form of the Work,
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+ the Derivative Works; and
+
+ (d) If the Work includes a "NOTICE" text file as part of its
+ distribution, then any Derivative Works that You distribute must
+ include a readable copy of the attribution notices contained
+ within such NOTICE file, excluding those notices that do not
+ pertain to any part of the Derivative Works, in at least one
+ of the following places: within a NOTICE text file distributed
+ as part of the Derivative Works; within the Source form or
+ documentation, if provided along with the Derivative Works; or,
+ within a display generated by the Derivative Works, if and
+ wherever such third-party notices normally appear. The contents
+ of the NOTICE file are for informational purposes only and
+ do not modify the License. You may add Your own attribution
+ notices within Derivative Works that You distribute, alongside
+ or as an addendum to the NOTICE text from the Work, provided
+ that such additional attribution notices cannot be construed
+ as modifying the License.
+
+ You may add Your own copyright statement to Your modifications and
+ may provide additional or different license terms and conditions
+ for use, reproduction, or distribution of Your modifications, or
+ for any such Derivative Works as a whole, provided Your use,
+ reproduction, and distribution of the Work otherwise complies with
+ the conditions stated in this License.
+
+ 5. Submission of Contributions. Unless You explicitly state otherwise,
+ any Contribution intentionally submitted for inclusion in the Work
+ by You to the Licensor shall be under the terms and conditions of
+ this License, without any additional terms or conditions.
+ Notwithstanding the above, nothing herein shall supersede or modify
+ the terms of any separate license agreement you may have executed
+ with Licensor regarding such Contributions.
+
+ 6. Trademarks. This License does not grant permission to use the trade
+ names, trademarks, service marks, or product names of the Licensor,
+ except as required for reasonable and customary use in describing the
+ origin of the Work and reproducing the content of the NOTICE file.
+
+ 7. Disclaimer of Warranty. Unless required by applicable law or
+ agreed to in writing, Licensor provides the Work (and each
+ Contributor provides its Contributions) on an "AS IS" BASIS,
+ WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or
+ implied, including, without limitation, any warranties or conditions
+ of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A
+ PARTICULAR PURPOSE. You are solely responsible for determining the
+ appropriateness of using or redistributing the Work and assume any
+ risks associated with Your exercise of permissions under this License.
+
+ 8. Limitation of Liability. In no event and under no legal theory,
+ whether in tort (including negligence), contract, or otherwise,
+ unless required by applicable law (such as deliberate and grossly
+ negligent acts) or agreed to in writing, shall any Contributor be
+ liable to You for damages, including any direct, indirect, special,
+ incidental, or consequential damages of any character arising as a
+ result of this License or out of the use or inability to use the
+ Work (including but not limited to damages for loss of goodwill,
+ work stoppage, computer failure or malfunction, or any and all
+ other commercial damages or losses), even if such Contributor
+ has been advised of the possibility of such damages.
+
+ 9. Accepting Warranty or Additional Liability. While redistributing
+ the Work or Derivative Works thereof, You may choose to offer,
+ and charge a fee for, acceptance of support, warranty, indemnity,
+ or other liability obligations and/or rights consistent with this
+ License. However, in accepting such obligations, You may act only
+ on Your own behalf and on Your sole responsibility, not on behalf
+ of any other Contributor, and only if You agree to indemnify,
+ defend, and hold each Contributor harmless for any liability
+ incurred by, or claims asserted against, such Contributor by reason
+ of your accepting any such warranty or additional liability.
+
+ END OF TERMS AND CONDITIONS
+
+ APPENDIX: How to apply the Apache License to your work.
+
+ To apply the Apache License to your work, attach the following
+ boilerplate notice, with the fields enclosed by brackets "{}"
+ replaced with your own identifying information. (Don't include
+ the brackets!) The text should be enclosed in the appropriate
+ comment syntax for the file format. We also recommend that a
+ file or class name and description of purpose be included on the
+ same "printed page" as the copyright notice for easier
+ identification within third-party archives.
+
+ Copyright 2020 Seldon Technologies Ltd.
+
+ Licensed under the Apache License, Version 2.0 (the "License");
+ you may not use this file except in compliance with the License.
+ You may obtain a copy of the License at
+
+ http://www.apache.org/licenses/LICENSE-2.0
+
+ Unless required by applicable law or agreed to in writing, software
+ distributed under the License is distributed on an "AS IS" BASIS,
+ WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ See the License for the specific language governing permissions and
+ limitations under the License.
+
+
+mlserver-mlflow
+1.6.0.dev2
Apache Software License
Apache License
Version 2.0, January 2004
@@ -9662,7 +11027,7 @@ Apache Software License
same "printed page" as the copyright notice for easier
identification within third-party archives.
- Copyright 2022 Seldon Technologies Ltd.
+ Copyright 2020 Seldon Technologies Ltd.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
@@ -9677,8 +11042,8 @@ Apache Software License
limitations under the License.
-mlserver-lightgbm
-1.5.0.dev1
+mlserver-sklearn
+1.6.0.dev2
Apache Software License
Apache License
Version 2.0, January 2004
@@ -9883,8 +11248,8 @@ Apache Software License
limitations under the License.
-mlserver-mlflow
-1.5.0.dev1
+mlserver-xgboost
+1.6.0.dev2
Apache Software License
Apache License
Version 2.0, January 2004
@@ -10089,216 +11454,124 @@ Apache Software License
limitations under the License.
-mlserver-sklearn
-1.5.0.dev1
-Apache Software License
- Apache License
- Version 2.0, January 2004
- http://www.apache.org/licenses/
-
- TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
-
- 1. Definitions.
-
- "License" shall mean the terms and conditions for use, reproduction,
- and distribution as defined by Sections 1 through 9 of this document.
-
- "Licensor" shall mean the copyright owner or entity authorized by
- the copyright owner that is granting the License.
-
- "Legal Entity" shall mean the union of the acting entity and all
- other entities that control, are controlled by, or are under common
- control with that entity. For the purposes of this definition,
- "control" means (i) the power, direct or indirect, to cause the
- direction or management of such entity, whether by contract or
- otherwise, or (ii) ownership of fifty percent (50%) or more of the
- outstanding shares, or (iii) beneficial ownership of such entity.
-
- "You" (or "Your") shall mean an individual or Legal Entity
- exercising permissions granted by this License.
-
- "Source" form shall mean the preferred form for making modifications,
- including but not limited to software source code, documentation
- source, and configuration files.
-
- "Object" form shall mean any form resulting from mechanical
- transformation or translation of a Source form, including but
- not limited to compiled object code, generated documentation,
- and conversions to other media types.
-
- "Work" shall mean the work of authorship, whether in Source or
- Object form, made available under the License, as indicated by a
- copyright notice that is included in or attached to the work
- (an example is provided in the Appendix below).
+mpmath
+1.3.0
+BSD License
+Copyright (c) 2005-2021 Fredrik Johansson and mpmath contributors
- "Derivative Works" shall mean any work, whether in Source or Object
- form, that is based on (or derived from) the Work and for which the
- editorial revisions, annotations, elaborations, or other modifications
- represent, as a whole, an original work of authorship. For the purposes
- of this License, Derivative Works shall not include works that remain
- separable from, or merely link (or bind by name) to the interfaces of,
- the Work and Derivative Works thereof.
+All rights reserved.
- "Contribution" shall mean any work of authorship, including
- the original version of the Work and any modifications or additions
- to that Work or Derivative Works thereof, that is intentionally
- submitted to Licensor for inclusion in the Work by the copyright owner
- or by an individual or Legal Entity authorized to submit on behalf of
- the copyright owner. For the purposes of this definition, "submitted"
- means any form of electronic, verbal, or written communication sent
- to the Licensor or its representatives, including but not limited to
- communication on electronic mailing lists, source code control systems,
- and issue tracking systems that are managed by, or on behalf of, the
- Licensor for the purpose of discussing and improving the Work, but
- excluding communication that is conspicuously marked or otherwise
- designated in writing by the copyright owner as "Not a Contribution."
+Redistribution and use in source and binary forms, with or without
+modification, are permitted provided that the following conditions are met:
- "Contributor" shall mean Licensor and any individual or Legal Entity
- on behalf of whom a Contribution has been received by Licensor and
- subsequently incorporated within the Work.
+ a. Redistributions of source code must retain the above copyright notice,
+ this list of conditions and the following disclaimer.
+ b. Redistributions in binary form must reproduce the above copyright
+ notice, this list of conditions and the following disclaimer in the
+ documentation and/or other materials provided with the distribution.
+ c. Neither the name of the copyright holder nor the names of its
+ contributors may be used to endorse or promote products derived
+ from this software without specific prior written permission.
- 2. Grant of Copyright License. Subject to the terms and conditions of
- this License, each Contributor hereby grants to You a perpetual,
- worldwide, non-exclusive, no-charge, royalty-free, irrevocable
- copyright license to reproduce, prepare Derivative Works of,
- publicly display, publicly perform, sublicense, and distribute the
- Work and such Derivative Works in Source or Object form.
+THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
+AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
+IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
+ARE DISCLAIMED. IN NO EVENT SHALL THE REGENTS OR CONTRIBUTORS BE LIABLE FOR
+ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
+DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
+SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
+CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT
+LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY
+OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH
+DAMAGE.
- 3. Grant of Patent License. Subject to the terms and conditions of
- this License, each Contributor hereby grants to You a perpetual,
- worldwide, non-exclusive, no-charge, royalty-free, irrevocable
- (except as stated in this section) patent license to make, have made,
- use, offer to sell, sell, import, and otherwise transfer the Work,
- where such license applies only to those patent claims licensable
- by such Contributor that are necessarily infringed by their
- Contribution(s) alone or by combination of their Contribution(s)
- with the Work to which such Contribution(s) was submitted. If You
- institute patent litigation against any entity (including a
- cross-claim or counterclaim in a lawsuit) alleging that the Work
- or a Contribution incorporated within the Work constitutes direct
- or contributory patent infringement, then any patent licenses
- granted to You under this License for that Work shall terminate
- as of the date such litigation is filed.
- 4. Redistribution. You may reproduce and distribute copies of the
- Work or Derivative Works thereof in any medium, with or without
- modifications, and in Source or Object form, provided that You
- meet the following conditions:
+multidict
+6.0.5
+Apache Software License
+ Copyright 2016 Andrew Svetlov and aio-libs contributors
- (a) You must give any other recipients of the Work or
- Derivative Works a copy of this License; and
+ Licensed under the Apache License, Version 2.0 (the "License");
+ you may not use this file except in compliance with the License.
+ You may obtain a copy of the License at
- (b) You must cause any modified files to carry prominent notices
- stating that You changed the files; and
+ http://www.apache.org/licenses/LICENSE-2.0
- (c) You must retain, in the Source form of any Derivative Works
- that You distribute, all copyright, patent, trademark, and
- attribution notices from the Source form of the Work,
- excluding those notices that do not pertain to any part of
- the Derivative Works; and
+ Unless required by applicable law or agreed to in writing, software
+ distributed under the License is distributed on an "AS IS" BASIS,
+ WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ See the License for the specific language governing permissions and
+ limitations under the License.
- (d) If the Work includes a "NOTICE" text file as part of its
- distribution, then any Derivative Works that You distribute must
- include a readable copy of the attribution notices contained
- within such NOTICE file, excluding those notices that do not
- pertain to any part of the Derivative Works, in at least one
- of the following places: within a NOTICE text file distributed
- as part of the Derivative Works; within the Source form or
- documentation, if provided along with the Derivative Works; or,
- within a display generated by the Derivative Works, if and
- wherever such third-party notices normally appear. The contents
- of the NOTICE file are for informational purposes only and
- do not modify the License. You may add Your own attribution
- notices within Derivative Works that You distribute, alongside
- or as an addendum to the NOTICE text from the Work, provided
- that such additional attribution notices cannot be construed
- as modifying the License.
- You may add Your own copyright statement to Your modifications and
- may provide additional or different license terms and conditions
- for use, reproduction, or distribution of Your modifications, or
- for any such Derivative Works as a whole, provided Your use,
- reproduction, and distribution of the Work otherwise complies with
- the conditions stated in this License.
+multiprocess
+0.70.16
+BSD License
+Copyright (c) 2006-2008, R Oudkerk
- 5. Submission of Contributions. Unless You explicitly state otherwise,
- any Contribution intentionally submitted for inclusion in the Work
- by You to the Licensor shall be under the terms and conditions of
- this License, without any additional terms or conditions.
- Notwithstanding the above, nothing herein shall supersede or modify
- the terms of any separate license agreement you may have executed
- with Licensor regarding such Contributions.
+All rights reserved.
- 6. Trademarks. This License does not grant permission to use the trade
- names, trademarks, service marks, or product names of the Licensor,
- except as required for reasonable and customary use in describing the
- origin of the Work and reproducing the content of the NOTICE file.
+Redistribution and use in source and binary forms, with or without
+modification, are permitted provided that the following conditions
+are met:
- 7. Disclaimer of Warranty. Unless required by applicable law or
- agreed to in writing, Licensor provides the Work (and each
- Contributor provides its Contributions) on an "AS IS" BASIS,
- WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or
- implied, including, without limitation, any warranties or conditions
- of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A
- PARTICULAR PURPOSE. You are solely responsible for determining the
- appropriateness of using or redistributing the Work and assume any
- risks associated with Your exercise of permissions under this License.
+1. Redistributions of source code must retain the above copyright
+ notice, this list of conditions and the following disclaimer.
+2. Redistributions in binary form must reproduce the above copyright
+ notice, this list of conditions and the following disclaimer in the
+ documentation and/or other materials provided with the distribution.
+3. Neither the name of author nor the names of any contributors may be
+ used to endorse or promote products derived from this software
+ without specific prior written permission.
- 8. Limitation of Liability. In no event and under no legal theory,
- whether in tort (including negligence), contract, or otherwise,
- unless required by applicable law (such as deliberate and grossly
- negligent acts) or agreed to in writing, shall any Contributor be
- liable to You for damages, including any direct, indirect, special,
- incidental, or consequential damages of any character arising as a
- result of this License or out of the use or inability to use the
- Work (including but not limited to damages for loss of goodwill,
- work stoppage, computer failure or malfunction, or any and all
- other commercial damages or losses), even if such Contributor
- has been advised of the possibility of such damages.
+THIS SOFTWARE IS PROVIDED BY THE AUTHOR AND CONTRIBUTORS "AS IS" AND
+ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
+IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
+ARE DISCLAIMED. IN NO EVENT SHALL THE AUTHOR OR CONTRIBUTORS BE LIABLE
+FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
+DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS
+OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION)
+HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT
+LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY
+OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF
+SUCH DAMAGE.
- 9. Accepting Warranty or Additional Liability. While redistributing
- the Work or Derivative Works thereof, You may choose to offer,
- and charge a fee for, acceptance of support, warranty, indemnity,
- or other liability obligations and/or rights consistent with this
- License. However, in accepting such obligations, You may act only
- on Your own behalf and on Your sole responsibility, not on behalf
- of any other Contributor, and only if You agree to indemnify,
- defend, and hold each Contributor harmless for any liability
- incurred by, or claims asserted against, such Contributor by reason
- of your accepting any such warranty or additional liability.
- END OF TERMS AND CONDITIONS
+murmurhash
+1.0.10
+MIT License
+The MIT License (MIT)
- APPENDIX: How to apply the Apache License to your work.
+Copyright (C) 2016 ExplosionAI GmbH, 2014-2015 Matthew Honnibal, 2016 spaCy GmbH
- To apply the Apache License to your work, attach the following
- boilerplate notice, with the fields enclosed by brackets "{}"
- replaced with your own identifying information. (Don't include
- the brackets!) The text should be enclosed in the appropriate
- comment syntax for the file format. We also recommend that a
- file or class name and description of purpose be included on the
- same "printed page" as the copyright notice for easier
- identification within third-party archives.
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
- Copyright 2020 Seldon Technologies Ltd.
+The above copyright notice and this permission notice shall be included in
+all copies or substantial portions of the Software.
- Licensed under the Apache License, Version 2.0 (the "License");
- you may not use this file except in compliance with the License.
- You may obtain a copy of the License at
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
+THE SOFTWARE.
- http://www.apache.org/licenses/LICENSE-2.0
- Unless required by applicable law or agreed to in writing, software
- distributed under the License is distributed on an "AS IS" BASIS,
- WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- See the License for the specific language governing permissions and
- limitations under the License.
+mypy
+1.10.0
+MIT License
+The "typeshed" project is licensed under the terms of the Apache license, as
+reproduced below.
+= = = = =
-mlserver-xgboost
-1.5.0.dev1
-Apache Software License
- Apache License
+Apache License
Version 2.0, January 2004
http://www.apache.org/licenses/
@@ -10486,57 +11759,7 @@ Apache Software License
same "printed page" as the copyright notice for easier
identification within third-party archives.
- Copyright 2020 Seldon Technologies Ltd.
-
- Licensed under the Apache License, Version 2.0 (the "License");
- you may not use this file except in compliance with the License.
- You may obtain a copy of the License at
-
- http://www.apache.org/licenses/LICENSE-2.0
-
- Unless required by applicable law or agreed to in writing, software
- distributed under the License is distributed on an "AS IS" BASIS,
- WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- See the License for the specific language governing permissions and
- limitations under the License.
-
-
-mpmath
-1.3.0
-BSD License
-Copyright (c) 2005-2021 Fredrik Johansson and mpmath contributors
-
-All rights reserved.
-
-Redistribution and use in source and binary forms, with or without
-modification, are permitted provided that the following conditions are met:
-
- a. Redistributions of source code must retain the above copyright notice,
- this list of conditions and the following disclaimer.
- b. Redistributions in binary form must reproduce the above copyright
- notice, this list of conditions and the following disclaimer in the
- documentation and/or other materials provided with the distribution.
- c. Neither the name of the copyright holder nor the names of its
- contributors may be used to endorse or promote products derived
- from this software without specific prior written permission.
-
-THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
-AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
-IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
-ARE DISCLAIMED. IN NO EVENT SHALL THE REGENTS OR CONTRIBUTORS BE LIABLE FOR
-ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
-DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
-SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
-CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT
-LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY
-OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH
-DAMAGE.
-
-
-multidict
-6.0.5
-Apache Software License
- Copyright 2016 Andrew Svetlov and aio-libs contributors
+ Copyright {yyyy} {name of copyright owner}
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
@@ -10550,53 +11773,23 @@ Apache Software License
See the License for the specific language governing permissions and
limitations under the License.
+= = = = =
-multiprocess
-0.70.16
-BSD License
-Copyright (c) 2006-2008, R Oudkerk
-
-All rights reserved.
-
-Redistribution and use in source and binary forms, with or without
-modification, are permitted provided that the following conditions
-are met:
-
-1. Redistributions of source code must retain the above copyright
- notice, this list of conditions and the following disclaimer.
-2. Redistributions in binary form must reproduce the above copyright
- notice, this list of conditions and the following disclaimer in the
- documentation and/or other materials provided with the distribution.
-3. Neither the name of author nor the names of any contributors may be
- used to endorse or promote products derived from this software
- without specific prior written permission.
-
-THIS SOFTWARE IS PROVIDED BY THE AUTHOR AND CONTRIBUTORS "AS IS" AND
-ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
-IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
-ARE DISCLAIMED. IN NO EVENT SHALL THE AUTHOR OR CONTRIBUTORS BE LIABLE
-FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
-DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS
-OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION)
-HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT
-LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY
-OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF
-SUCH DAMAGE.
+Parts of typeshed are licensed under different licenses (like the MIT
+license), reproduced below.
+= = = = =
-murmurhash
-1.0.10
-MIT License
-The MIT License (MIT)
+The MIT License
-Copyright (C) 2016 ExplosionAI GmbH, 2014-2015 Matthew Honnibal, 2016 spaCy GmbH
+Copyright (c) 2015 Jukka Lehtosalo and contributors
-Permission is hereby granted, free of charge, to any person obtaining a copy
-of this software and associated documentation files (the "Software"), to deal
-in the Software without restriction, including without limitation the rights
-to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
-copies of the Software, and to permit persons to whom the Software is
-furnished to do so, subject to the following conditions:
+Permission is hereby granted, free of charge, to any person obtaining a
+copy of this software and associated documentation files (the "Software"),
+to deal in the Software without restriction, including without limitation
+the rights to use, copy, modify, merge, publish, distribute, sublicense,
+and/or sell copies of the Software, and to permit persons to whom the
+Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in
all copies or substantial portions of the Software.
@@ -10605,42 +11798,11 @@ THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
-LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
-OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
-THE SOFTWARE.
-
-
-mypy
-1.9.0
-MIT License
-Copyright 2008, Google Inc.
-All rights reserved.
-
-Redistribution and use in source and binary forms, with or without
-modification, are permitted provided that the following conditions are
-met:
-
- * Redistributions of source code must retain the above copyright
-notice, this list of conditions and the following disclaimer.
- * Redistributions in binary form must reproduce the above
-copyright notice, this list of conditions and the following disclaimer
-in the documentation and/or other materials provided with the
-distribution.
- * Neither the name of Google Inc. nor the names of its
-contributors may be used to endorse or promote products derived from
-this software without specific prior written permission.
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
+FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER
+DEALINGS IN THE SOFTWARE.
-THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
-"AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
-LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
-A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
-OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
-SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
-LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
-DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
-THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
-(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
-OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+= = = = =
mypy-extensions
@@ -10925,7 +12087,7 @@ NetworkX is distributed with the 3-clause BSD license.
numba
-0.58.1
+0.59.1
BSD License
Copyright (c) 2012, Anaconda, Inc.
All rights reserved.
@@ -11980,7 +13142,7 @@ Other/Proprietary License
UNKNOWN
nvidia-nvjitlink-cu12
-12.3.101
+12.5.40
Other/Proprietary License
UNKNOWN
@@ -12022,7 +13184,7 @@ OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
onnx
-1.15.0
+1.16.1
Apache License v2.0
Apache License
@@ -12229,7 +13391,7 @@ Apache License v2.0
onnxruntime
-1.17.1
+1.18.0
MIT License
MIT License
@@ -12255,7 +13417,7 @@ SOFTWARE.
opencv-python
-4.9.0.80
+4.10.0.82
Apache Software License
OpenCV library is redistributed within opencv-python package.
This license applies to OpenCV binary in the directory cv2/.
@@ -15323,9 +16485,34 @@ to the personal jurisdiction and venue of those courts and waives any
objections. THE UNITED NATIONS CONVENTION ON CONTRACTS FOR THE INTERNATIONAL
SALE OF GOODS (1980) IS SPECIFICALLY EXCLUDED AND WILL NOT APPLY TO THE SOFTWARE.
+------------------------------------------------------------------------------
+Orbbec SDK distributed with arm64 MacOS packages.
+
+MIT License
+
+Copyright (c) 2023 OrbbecDeveloper
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.
+
opentelemetry-api
-1.23.0
+1.25.0
Apache Software License
Apache License
Version 2.0, January 2004
@@ -15515,7 +16702,7 @@ Apache Software License
same "printed page" as the copyright notice for easier
identification within third-party archives.
- Copyright The OpenTelemetry Authors
+ Copyright [yyyy] [name of copyright owner]
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
@@ -15531,7 +16718,7 @@ Apache Software License
opentelemetry-exporter-otlp-proto-common
-1.23.0
+1.25.0
Apache Software License
Apache License
Version 2.0, January 2004
@@ -15721,7 +16908,7 @@ Apache Software License
same "printed page" as the copyright notice for easier
identification within third-party archives.
- Copyright The OpenTelemetry Authors
+ Copyright [yyyy] [name of copyright owner]
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
@@ -15737,7 +16924,7 @@ Apache Software License
opentelemetry-exporter-otlp-proto-grpc
-1.23.0
+1.25.0
Apache Software License
Apache License
Version 2.0, January 2004
@@ -15927,7 +17114,7 @@ Apache Software License
same "printed page" as the copyright notice for easier
identification within third-party archives.
- Copyright The OpenTelemetry Authors
+ Copyright [yyyy] [name of copyright owner]
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
@@ -15943,7 +17130,7 @@ Apache Software License
opentelemetry-instrumentation
-0.44b0
+0.46b0
Apache Software License
Apache License
Version 2.0, January 2004
@@ -16133,7 +17320,7 @@ Apache Software License
same "printed page" as the copyright notice for easier
identification within third-party archives.
- Copyright The OpenTelemetry Authors
+ Copyright [yyyy] [name of copyright owner]
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
@@ -16149,7 +17336,7 @@ Apache Software License
opentelemetry-instrumentation-asgi
-0.44b0
+0.46b0
Apache Software License
Apache License
Version 2.0, January 2004
@@ -16339,7 +17526,7 @@ Apache Software License
same "printed page" as the copyright notice for easier
identification within third-party archives.
- Copyright The OpenTelemetry Authors
+ Copyright [yyyy] [name of copyright owner]
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
@@ -16355,7 +17542,7 @@ Apache Software License
opentelemetry-instrumentation-fastapi
-0.44b0
+0.46b0
Apache Software License
Apache License
Version 2.0, January 2004
@@ -16545,7 +17732,7 @@ Apache Software License
same "printed page" as the copyright notice for easier
identification within third-party archives.
- Copyright The OpenTelemetry Authors
+ Copyright [yyyy] [name of copyright owner]
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
@@ -16561,7 +17748,7 @@ Apache Software License
opentelemetry-instrumentation-grpc
-0.44b0
+0.46b0
Apache Software License
Apache License
Version 2.0, January 2004
@@ -16751,7 +17938,7 @@ Apache Software License
same "printed page" as the copyright notice for easier
identification within third-party archives.
- Copyright The OpenTelemetry Authors
+ Copyright [yyyy] [name of copyright owner]
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
@@ -16767,7 +17954,7 @@ Apache Software License
opentelemetry-proto
-1.23.0
+1.25.0
Apache Software License
Apache License
Version 2.0, January 2004
@@ -16957,7 +18144,7 @@ Apache Software License
same "printed page" as the copyright notice for easier
identification within third-party archives.
- Copyright The OpenTelemetry Authors
+ Copyright [yyyy] [name of copyright owner]
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
@@ -16973,7 +18160,7 @@ Apache Software License
opentelemetry-sdk
-1.23.0
+1.25.0
Apache Software License
Apache License
Version 2.0, January 2004
@@ -17163,7 +18350,7 @@ Apache Software License
same "printed page" as the copyright notice for easier
identification within third-party archives.
- Copyright The OpenTelemetry Authors
+ Copyright [yyyy] [name of copyright owner]
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
@@ -17179,7 +18366,7 @@ Apache Software License
opentelemetry-semantic-conventions
-0.44b0
+0.46b0
Apache Software License
Apache License
Version 2.0, January 2004
@@ -17369,7 +18556,7 @@ Apache Software License
same "printed page" as the copyright notice for easier
identification within third-party archives.
- Copyright The OpenTelemetry Authors
+ Copyright [yyyy] [name of copyright owner]
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
@@ -17385,7 +18572,7 @@ Apache Software License
opentelemetry-util-http
-0.44b0
+0.46b0
Apache Software License
UNKNOWN
@@ -17417,7 +18604,7 @@ SOFTWARE.
optimum
-1.17.1
+1.20.0
Apache Software License
Apache License
Version 2.0, January 2004
@@ -17623,7 +18810,7 @@ Apache Software License
orjson
-3.9.15
+3.10.5
Apache Software License; MIT License
Apache License
Version 2.0, January 2004
@@ -17829,7 +19016,7 @@ limitations under the License.
packaging
-23.2
+24.1
Apache Software License; BSD License
This software is made available under the terms of *either* of the licenses
found in LICENSE.APACHE or LICENSE.BSD. Contributions to this software is made
@@ -17837,7 +19024,7 @@ under the terms of *both* these licenses.
pandas
-2.2.1
+2.2.2
BSD License
BSD 3-Clause License
@@ -18251,16 +19438,16 @@ Exhibit B - "Incompatible With Secondary Licenses" Notice
pillow
-10.2.0
+10.3.0
Historical Permission Notice and Disclaimer (HPND)
The Python Imaging Library (PIL) is
Copyright © 1997-2011 by Secret Labs AB
- Copyright © 1995-2011 by Fredrik Lundh
+ Copyright © 1995-2011 by Fredrik Lundh and contributors
Pillow is the friendly PIL fork. It is
- Copyright © 2010-2024 by Jeffrey A. Clark (Alex) and contributors.
+ Copyright © 2010-2024 by Jeffrey A. Clark and contributors
Like PIL, Pillow is licensed under the open source HPND License:
@@ -19599,7 +20786,7 @@ the FAQ for more information on the distribution of modified source versions.
platformdirs
-4.2.0
+4.2.2
MIT License
MIT License
@@ -19624,8 +20811,34 @@ OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
+plotly
+5.22.0
+MIT License
+The MIT License (MIT)
+
+Copyright (c) 2016-2018 Plotly, Inc
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in
+all copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
+THE SOFTWARE.
+
+
pluggy
-1.4.0
+1.5.0
MIT License
The MIT License (MIT)
@@ -20094,7 +21307,7 @@ UNKNOWN
pyarrow
-15.0.0
+15.0.2
Apache Software License
Apache License
@@ -22353,7 +23566,7 @@ SOFTWARE.
pyasn1
-0.5.1
+0.6.0
BSD License
Copyright (c) 2005-2020, Ilya Etingof <etingof@gmail.com>
All rights reserved.
@@ -22381,8 +23594,8 @@ ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
POSSIBILITY OF SUCH DAMAGE.
-pyasn1-modules
-0.3.0
+pyasn1_modules
+0.4.0
BSD License
Copyright (c) 2005-2020, Ilya Etingof <etingof@gmail.com>
All rights reserved.
@@ -22441,11 +23654,63 @@ SOFTWARE.
pydantic
-1.10.14
+2.7.1
+MIT License
+The MIT License (MIT)
+
+Copyright (c) 2017 to present Pydantic Services Inc. and individual contributors.
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.
+
+
+pydantic-settings
+2.2.1
MIT License
The MIT License (MIT)
-Copyright (c) 2017, 2018, 2019, 2020, 2021 Samuel Colvin and other contributors
+Copyright (c) 2022 Samuel Colvin and other contributors
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.
+
+
+pydantic_core
+2.18.2
+MIT License
+The MIT License (MIT)
+
+Copyright (c) 2022 Samuel Colvin
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
@@ -22493,7 +23758,7 @@ WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
pyparsing
-3.1.1
+3.1.2
MIT License
Permission is hereby granted, free of charge, to any person obtaining
a copy of this software and associated documentation files (the
@@ -22516,7 +23781,7 @@ SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
pyproject-api
-1.6.1
+1.7.1
MIT License
Permission is hereby granted, free of charge, to any person obtaining a
copy of this software and associated documentation files (the
@@ -22771,7 +24036,7 @@ Apache License
pytest-cases
-3.8.4
+3.8.5
BSD License
BSD 3-Clause License
@@ -22804,6 +24069,33 @@ OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+pytest-lazy-fixture
+0.6.3
+MIT License
+
+The MIT License (MIT)
+
+Copyright (c) 2016 Marsel Zaripov
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in
+all copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
+THE SOFTWARE.
+
+
pytest-mock
3.12.0
MIT License
@@ -22831,30 +24123,33 @@ SOFTWARE.
pytest-xdist
-3.5.0
+3.6.1
+MIT License
MIT License
- Permission is hereby granted, free of charge, to any person obtaining a copy
- of this software and associated documentation files (the "Software"), to deal
- in the Software without restriction, including without limitation the rights
- to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
- copies of the Software, and to permit persons to whom the Software is
- furnished to do so, subject to the following conditions:
+Copyright (c) 2010 Holger Krekel and contributors.
- The above copyright notice and this permission notice shall be included in all
- copies or substantial portions of the Software.
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
- THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
- IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
- FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
- AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
- LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
- OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
- SOFTWARE.
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.
python-dateutil
-2.8.2
+2.9.0.post0
Apache Software License; BSD License
Copyright 2017- Paul Ganssle <paul@ganssle.io>
Copyright 2017- dateutil contributors (see AUTHORS file)
@@ -22963,7 +24258,7 @@ limitations under the License.
python-rapidjson
-1.16
+1.17
MIT License
python-rapidjson is licensed under the MIT license.
@@ -22991,7 +24286,7 @@ SOFTWARE.
pytorch-lightning
-2.2.0.post0
+2.3.1
Apache Software License
Apache License
Version 2.0, January 2004
@@ -23197,7 +24492,7 @@ Apache Software License
pytz
-2023.4
+2024.1
MIT License
Copyright (c) 2003-2019 Stuart Bishop <stuart@stuartbishop.net>
@@ -23245,7 +24540,7 @@ SOFTWARE.
regex
-2023.12.25
+2024.5.15
Apache Software License
This work was derived from the 're' module of CPython 2.6 and CPython 3.1,
copyright (c) 1998-2001 by Secret Labs AB and licensed under CNRI's Python 1.6
@@ -23458,7 +24753,7 @@ All additions and alterations are licensed under the Apache 2.0 License.
requests
-2.31.0
+2.32.3
Apache Software License
Apache License
@@ -23823,7 +25118,7 @@ All rights reserved.
requests-oauthlib
-1.3.1
+2.0.0
BSD License
ISC License
@@ -24048,6 +25343,30 @@ See the License for the specific language governing permissions and
limitations under the License.
+rich
+13.7.1
+MIT License
+Copyright (c) 2020 Will McGugan
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.
+
+
rsa
4.9
Apache Software License
@@ -24067,7 +25386,7 @@ limitations under the License.
safetensors
-0.4.2
+0.4.3
Apache Software License
UNKNOWN
@@ -24222,41 +25541,12 @@ SOFTWARE.
scikit-learn
-1.4.1.post1
+1.5.0
BSD License
-BSD 3-Clause License
-
-Copyright (c) 2007-2023 The scikit-learn developers.
-All rights reserved.
-
-Redistribution and use in source and binary forms, with or without
-modification, are permitted provided that the following conditions are met:
-
-* Redistributions of source code must retain the above copyright notice, this
- list of conditions and the following disclaimer.
-
-* Redistributions in binary form must reproduce the above copyright notice,
- this list of conditions and the following disclaimer in the documentation
- and/or other materials provided with the distribution.
-
-* Neither the name of the copyright holder nor the names of its
- contributors may be used to endorse or promote products derived from
- this software without specific prior written permission.
-
-THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
-AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
-IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
-DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
-FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
-DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
-SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
-CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
-OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
-OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
-
+UNKNOWN
scipy
-1.12.0
+1.13.1
BSD License
Copyright (C) 2010-2019 Max-Planck-Society
All rights reserved.
@@ -24316,6 +25606,24 @@ OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
+shellingham
+1.5.4
+ISC License (ISCL)
+Copyright (c) 2018, Tzu-ping Chung <uranusjr@gmail.com>
+
+Permission to use, copy, modify, and distribute this software for any
+purpose with or without fee is hereby granted, provided that the above
+copyright notice and this permission notice appear in all copies.
+
+THE SOFTWARE IS PROVIDED "AS IS" AND THE AUTHOR DISCLAIMS ALL WARRANTIES
+WITH REGARD TO THIS SOFTWARE INCLUDING ALL IMPLIED WARRANTIES OF
+MERCHANTABILITY AND FITNESS. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR
+ANY SPECIAL, DIRECT, INDIRECT, OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES
+WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS, WHETHER IN AN
+ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS ACTION, ARISING OUT OF
+OR IN CONNECTION WITH THE USE OR PERFORMANCE OF THIS SOFTWARE.
+
+
six
1.16.0
MIT License
@@ -24366,7 +25674,7 @@ SOFTWARE.
smart-open
-6.4.0
+7.0.4
MIT License
The MIT License (MIT)
@@ -24436,11 +25744,11 @@ made under the terms of *both* these licenses.
spacy
-3.7.4
+3.7.5
MIT License
The MIT License (MIT)
-Copyright (C) 2016-2023 ExplosionAI GmbH, 2016 spaCy GmbH, 2015 Matthew Honnibal
+Copyright (C) 2016-2024 ExplosionAI GmbH, 2016 spaCy GmbH, 2015 Matthew Honnibal
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
@@ -24540,7 +25848,7 @@ SOFTWARE.
sqlparse
-0.4.4
+0.5.0
BSD License
Copyright (c) 2016, Andi Albrecht <albrecht.andi@gmail.com>
All rights reserved.
@@ -24628,7 +25936,7 @@ OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
starlette_exporter
-0.21.0
+0.22.0
Apache License 2.0
Apache License
Version 2.0, January 2004
@@ -24834,7 +26142,7 @@ Apache License 2.0
sympy
-1.12
+1.12.1
BSD License
The MIT License (MIT)
@@ -24860,7 +26168,7 @@ SOFTWARE.
tenacity
-8.2.3
+8.4.1
Apache Software License
Apache License
@@ -25903,7 +27211,7 @@ Apache Software License
UNKNOWN
tensorflow-io-gcs-filesystem
-0.36.0
+0.37.0
Apache Software License
Apache License
Version 2.0, January 2004
@@ -26138,7 +27446,7 @@ THE SOFTWARE.
thinc
-8.2.3
+8.2.4
MIT License
The MIT License (MIT)
@@ -26164,7 +27472,7 @@ THE SOFTWARE.
threadpoolctl
-3.3.0
+3.5.0
BSD License
Copyright (c) 2019, threadpoolctl contributors
@@ -26192,7 +27500,7 @@ OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
tifffile
-2024.2.12
+2024.5.22
BSD License
BSD 3-Clause License
@@ -26227,7 +27535,7 @@ POSSIBILITY OF SUCH DAMAGE.
tokenizers
-0.15.2
+0.19.1
Apache Software License
UNKNOWN
@@ -32975,7 +34283,7 @@ SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
torchmetrics
-1.3.1
+1.4.0.post0
Apache Software License
Apache License
Version 2.0, January 2004
@@ -33215,7 +34523,7 @@ OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
tox
-4.6.3
+4.16.0
MIT License
Permission is hereby granted, free of charge, to any person obtaining a
copy of this software and associated documentation files (the
@@ -33238,7 +34546,7 @@ SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
tqdm
-4.66.2
+4.66.4
MIT License; Mozilla Public License 2.0 (MPL 2.0)
`tqdm` is a product of collaborative work.
Unless otherwise stated, all authors (see commit logs) retain copyright
@@ -33292,7 +34600,7 @@ CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
transformers
-4.38.2
+4.41.2
Apache Software License
Copyright 2018- The Hugging Face team. All rights reserved.
@@ -33505,7 +34813,7 @@ MIT License
UNKNOWN
tritonclient
-2.42.0
+2.46.0
BSD License
# Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved.
#
@@ -33535,7 +34843,7 @@ BSD License
typer
-0.9.0
+0.12.3
MIT License
The MIT License (MIT)
@@ -33571,7 +34879,7 @@ Apache Software License
UNKNOWN
types-protobuf
-4.24.0.20240129
+5.26.0.20240422
Apache Software License
UNKNOWN
@@ -33581,7 +34889,7 @@ Apache Software License
UNKNOWN
typing_extensions
-4.10.0
+4.12.2
Python Software Foundation License
A. HISTORY OF THE SOFTWARE
==========================
@@ -33885,7 +35193,7 @@ limitations under the License.
urllib3
-2.2.1
+2.2.2
MIT License
MIT License
@@ -33911,7 +35219,7 @@ SOFTWARE.
uvicorn
-0.28.0
+0.30.1
BSD License
Copyright © 2017-present, [Encode OSS Ltd](https://www.encode.io/).
All rights reserved.
@@ -33945,213 +35253,31 @@ OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
uvloop
0.19.0
Apache Software License; MIT License
-Copyright (C) 2016-present the uvloop authors and contributors.
-
- Apache License
- Version 2.0, January 2004
- http://www.apache.org/licenses/
-
- TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
-
- 1. Definitions.
-
- "License" shall mean the terms and conditions for use, reproduction,
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-
- "Legal Entity" shall mean the union of the acting entity and all
- other entities that control, are controlled by, or are under common
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- for use, reproduction, or distribution of Your modifications, or
- for any such Derivative Works as a whole, provided Your use,
- reproduction, and distribution of the Work otherwise complies with
- the conditions stated in this License.
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- 5. Submission of Contributions. Unless You explicitly state otherwise,
- any Contribution intentionally submitted for inclusion in the Work
- by You to the Licensor shall be under the terms and conditions of
- this License, without any additional terms or conditions.
- Notwithstanding the above, nothing herein shall supersede or modify
- the terms of any separate license agreement you may have executed
- with Licensor regarding such Contributions.
-
- 6. Trademarks. This License does not grant permission to use the trade
- names, trademarks, service marks, or product names of the Licensor,
- except as required for reasonable and customary use in describing the
- origin of the Work and reproducing the content of the NOTICE file.
-
- 7. Disclaimer of Warranty. Unless required by applicable law or
- agreed to in writing, Licensor provides the Work (and each
- Contributor provides its Contributions) on an "AS IS" BASIS,
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- PARTICULAR PURPOSE. You are solely responsible for determining the
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- risks associated with Your exercise of permissions under this License.
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- 8. Limitation of Liability. In no event and under no legal theory,
- whether in tort (including negligence), contract, or otherwise,
- unless required by applicable law (such as deliberate and grossly
- negligent acts) or agreed to in writing, shall any Contributor be
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- incidental, or consequential damages of any character arising as a
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- Work (including but not limited to damages for loss of goodwill,
- work stoppage, computer failure or malfunction, or any and all
- other commercial damages or losses), even if such Contributor
- has been advised of the possibility of such damages.
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- 9. Accepting Warranty or Additional Liability. While redistributing
- the Work or Derivative Works thereof, You may choose to offer,
- and charge a fee for, acceptance of support, warranty, indemnity,
- or other liability obligations and/or rights consistent with this
- License. However, in accepting such obligations, You may act only
- on Your own behalf and on Your sole responsibility, not on behalf
- of any other Contributor, and only if You agree to indemnify,
- defend, and hold each Contributor harmless for any liability
- incurred by, or claims asserted against, such Contributor by reason
- of your accepting any such warranty or additional liability.
-
- END OF TERMS AND CONDITIONS
-
- APPENDIX: How to apply the Apache License to your work.
-
- To apply the Apache License to your work, attach the following
- boilerplate notice, with the fields enclosed by brackets "[]"
- replaced with your own identifying information. (Don't include
- the brackets!) The text should be enclosed in the appropriate
- comment syntax for the file format. We also recommend that a
- file or class name and description of purpose be included on the
- same "printed page" as the copyright notice for easier
- identification within third-party archives.
+The MIT License
- Copyright (c) 2015-present MagicStack Inc. http://magic.io
+Copyright (C) 2016-present the uvloop authors and contributors.
- Licensed under the Apache License, Version 2.0 (the "License");
- you may not use this file except in compliance with the License.
- You may obtain a copy of the License at
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
- http://www.apache.org/licenses/LICENSE-2.0
+The above copyright notice and this permission notice shall be included in
+all copies or substantial portions of the Software.
- Unless required by applicable law or agreed to in writing, software
- distributed under the License is distributed on an "AS IS" BASIS,
- WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- See the License for the specific language governing permissions and
- limitations under the License.
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
+THE SOFTWARE.
virtualenv
-20.25.1
+20.26.3
MIT License
Copyright (c) 2020-202x The virtualenv developers
@@ -34176,7 +35302,7 @@ WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
wasabi
-1.1.2
+1.1.3
MIT
The MIT License (MIT)
@@ -34202,7 +35328,7 @@ THE SOFTWARE.
weasel
-0.3.4
+0.4.1
MIT License
The MIT License (MIT)
@@ -34496,7 +35622,7 @@ Apache Software License
zipp
-3.17.0
+3.19.2
MIT License
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to
@@ -34567,7 +35693,7 @@ EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
zope.interface
-6.2
+6.4.post2
Zope Public License
Zope Public License (ZPL) Version 2.1
diff --git a/licenses/license_info.csv b/licenses/license_info.csv
index 521e3ce1a..5b7222cea 100644
--- a/licenses/license_info.csv
+++ b/licenses/license_info.csv
@@ -1,50 +1,54 @@
"Name","Version","License"
"Brotli","1.1.0","MIT License"
"Deprecated","1.2.14","MIT License"
-"Flask","3.0.2","BSD License"
-"GitPython","3.1.42","BSD License"
-"Jinja2","3.1.3","BSD License"
-"Mako","1.3.2","MIT License"
-"Markdown","3.5.2","BSD License"
+"Flask","3.0.3","BSD License"
+"GitPython","3.1.43","BSD License"
+"Jinja2","3.1.4","BSD License"
+"Mako","1.3.5","MIT License"
+"Markdown","3.6","BSD License"
"MarkupSafe","2.1.5","BSD License"
"PyYAML","6.0.1","MIT License"
-"SQLAlchemy","2.0.27","MIT License"
-"Werkzeug","3.0.1","BSD License"
+"Pygments","2.18.0","BSD License"
+"SQLAlchemy","2.0.30","MIT License"
+"Werkzeug","3.0.3","BSD License"
"absl-py","2.1.0","Apache Software License"
"aiofiles","23.2.1","Apache Software License"
-"aiohttp","3.9.3","Apache Software License"
+"aiohappyeyeballs","2.3.5","Python License (CNRI Python License)"
+"aiohttp","3.10.2","Apache Software License"
"aiohttp-retry","2.8.3","MIT License"
"aiokafka","0.10.0","Apache Software License"
"aiosignal","1.3.1","Apache Software License"
"alembic","1.13.1","MIT License"
-"alibi","0.9.5","Other/Proprietary License"
-"alibi-detect","0.11.5","Other/Proprietary License"
+"alibi","0.9.6","Other/Proprietary License"
+"alibi-detect","0.12.0","Other/Proprietary License"
"aniso8601","9.0.1","BSD License"
-"anyio","4.3.0","MIT License"
-"argcomplete","3.2.2","Apache Software License"
-"asgiref","3.7.2","BSD License"
+"annotated-types","0.7.0","MIT License"
+"anyio","4.4.0","MIT License"
+"argcomplete","3.3.0","Apache Software License"
+"asgiref","3.8.1","BSD License"
"astunparse","1.6.3","BSD License"
"async-timeout","4.0.3","Apache Software License"
"attrs","23.2.0","MIT License"
-"black","24.2.0","MIT License"
-"blinker","1.7.0","MIT License"
+"black","24.4.0","MIT License"
+"blinker","1.8.2","MIT License"
"blis","0.7.11","BSD License"
"cachetools","5.3.3","MIT License"
"catalogue","2.0.10","MIT License"
-"certifi","2024.2.2","Mozilla Public License 2.0 (MPL 2.0)"
+"catboost","1.2.5","Apache License, Version 2.0"
+"certifi","2024.7.4","Mozilla Public License 2.0 (MPL 2.0)"
"chardet","5.2.0","GNU Lesser General Public License v2 or later (LGPLv2+)"
"charset-normalizer","3.3.2","MIT License"
"click","8.1.7","BSD License"
-"cloudpathlib","0.16.0","MIT License"
+"cloudpathlib","0.18.1","MIT License"
"cloudpickle","3.0.0","BSD License"
"colorama","0.4.6","BSD License"
"coloredlogs","15.0.1","MIT License"
"conda-pack","0.7.1","BSD License"
-"confection","0.1.4","MIT License"
-"contourpy","1.2.0","BSD License"
+"confection","0.1.5","MIT License"
+"contourpy","1.2.1","BSD License"
"cycler","0.12.1","BSD License"
"cymem","2.0.8","MIT License"
-"datamodel-code-generator","0.25.4","MIT License"
+"datamodel-code-generator","0.25.5","MIT License"
"datasets","2.2.1","Apache Software License"
"decopatch","1.4.10","BSD License"
"decorator","5.1.1","BSD License"
@@ -52,82 +56,89 @@
"distlib","0.3.8","Python Software Foundation License"
"dm-tree","0.1.8","Apache Software License"
"dnspython","2.6.1","ISC License (ISCL)"
-"docker","7.0.0","Apache Software License"
+"docker","7.1.0","Apache Software License"
"email_validator","2.1.1","The Unlicense (Unlicense)"
"entrypoints","0.4","MIT License"
-"evaluate","0.4.1","Apache Software License"
-"exceptiongroup","1.2.0","MIT License"
-"execnet","2.0.2","MIT License"
+"evaluate","0.4.2","Apache Software License"
+"exceptiongroup","1.2.1","MIT License"
+"execnet","2.1.1","MIT License"
"fastapi","0.110.0","MIT License"
-"filelock","3.13.1","The Unlicense (Unlicense)"
+"filelock","3.15.4","The Unlicense (Unlicense)"
"flake8","7.0.0","MIT License"
"flake8-black","0.3.6","MIT License"
-"flatbuffers","23.5.26","Apache Software License"
-"fonttools","4.49.0","MIT License"
+"flatbuffers","24.3.25","Apache Software License"
+"fonttools","4.53.0","MIT License"
"frozenlist","1.4.1","Apache Software License"
-"fsspec","2024.2.0","BSD License"
+"fsspec","2024.6.0","BSD License"
"gast","0.5.4","BSD License"
-"genson","1.2.2","MIT License"
+"genson","1.3.0","MIT License"
"gevent","24.2.1","MIT License"
"geventhttpclient","2.0.2","MIT"
"gitdb","4.0.11","BSD License"
-"google-auth","2.28.1","Apache Software License"
+"google-auth","2.30.0","Apache Software License"
"google-auth-oauthlib","1.0.0","Apache Software License"
"google-pasta","0.2.0","Apache Software License"
-"googleapis-common-protos","1.62.0","Apache Software License"
+"googleapis-common-protos","1.63.1","Apache Software License"
"graphene","3.3","MIT"
"graphql-core","3.2.3","MIT License"
"graphql-relay","3.2.0","MIT License"
+"graphviz","0.20.3","MIT License"
"greenlet","3.0.3","MIT License"
-"grpcio","1.62.1","Apache Software License"
+"grpcio","1.64.1","Apache Software License"
"grpcio-tools","1.48.2","Apache Software License"
-"gunicorn","21.2.0","MIT License"
+"gunicorn","22.0.0","MIT License"
"h11","0.14.0","MIT License"
-"h5py","3.10.0","BSD License"
-"httpcore","1.0.4","BSD License"
+"h5py","3.11.0","BSD License"
+"httpcore","1.0.5","BSD License"
"httpx","0.27.0","BSD License"
-"huggingface-hub","0.21.3","Apache Software License"
+"httpx-sse","0.4.0","MIT"
+"huggingface-hub","0.23.4","Apache Software License"
"humanfriendly","10.0","MIT License"
-"idna","3.6","BSD License"
-"imageio","2.34.0","BSD License"
-"importlib-metadata","6.11.0","Apache Software License"
-"importlib_resources","6.3.1","Apache Software License"
+"idna","3.7","BSD License"
+"imageio","2.34.1","BSD License"
+"importlib_metadata","7.1.0","Apache Software License"
+"importlib_resources","6.4.0","Apache Software License"
"inflect","5.6.2","MIT License"
"iniconfig","2.0.0","MIT License"
"isort","5.13.2","MIT License"
-"itsdangerous","2.1.2","BSD License"
-"joblib","1.3.2","BSD License"
+"itsdangerous","2.2.0","BSD License"
+"joblib","1.4.2","BSD License"
"kafka-python","2.0.2","Apache Software License"
"keras","2.14.0","Apache Software License"
"kiwisolver","1.4.5","BSD License"
-"langcodes","3.3.0","MIT License"
-"lazy_loader","0.3","BSD License"
-"libclang","16.0.6","Apache Software License"
+"langcodes","3.4.0","MIT License"
+"language_data","1.2.0","MIT License"
+"lazy_loader","0.4","BSD License"
+"libclang","18.1.1","Apache Software License"
"lightgbm","4.3.0","MIT License"
-"lightning-utilities","0.10.1","Apache-2.0"
-"llvmlite","0.41.1","BSD"
+"lightning-utilities","0.11.2","Apache-2.0"
+"llvmlite","0.42.0","BSD"
"makefun","1.15.2","BSD License"
-"matplotlib","3.8.3","Python Software Foundation License"
+"marisa-trie","1.2.0","MIT License"
+"markdown-it-py","3.0.0","MIT License"
+"matplotlib","3.9.0","Python Software Foundation License"
"mccabe","0.7.0","MIT License"
+"mdurl","0.1.2","MIT License"
"ml-dtypes","0.2.0","Apache Software License"
-"mlflow","2.11.1","Apache License 2.0"
-"mlserver","1.5.0.dev1","Apache Software License"
-"mlserver-alibi-detect","1.5.0.dev1","Apache Software License"
-"mlserver-alibi-explain","1.5.0.dev1","Apache Software License"
-"mlserver-huggingface","1.5.0.dev1","Apache Software License"
-"mlserver-lightgbm","1.5.0.dev1","Apache Software License"
-"mlserver-mlflow","1.5.0.dev1","Apache Software License"
-"mlserver-sklearn","1.5.0.dev1","Apache Software License"
-"mlserver-xgboost","1.5.0.dev1","Apache Software License"
+"mlflow","2.13.1","Apache Software License"
+"mlserver","1.6.0.dev2","Apache Software License"
+"mlserver-alibi-detect","1.6.0.dev2","Apache Software License"
+"mlserver-alibi-explain","1.6.0.dev2","Apache Software License"
+"mlserver-catboost","1.6.0.dev2","Apache Software License"
+"mlserver-huggingface","1.6.0.dev2","Apache Software License"
+"mlserver-lightgbm","1.6.0.dev2","Apache Software License"
+"mlserver-mlflow","1.6.0.dev2","Apache Software License"
+"mlserver-sklearn","1.6.0.dev2","Apache Software License"
+"mlserver-xgboost","1.6.0.dev2","Apache Software License"
"mpmath","1.3.0","BSD License"
"multidict","6.0.5","Apache Software License"
"multiprocess","0.70.16","BSD License"
"murmurhash","1.0.10","MIT License"
-"mypy","1.9.0","MIT License"
+"mypy","1.10.0","MIT License"
"mypy-extensions","1.0.0","MIT License"
"mypy-protobuf","3.1.0","Apache License 2.0"
"networkx","3.2.1","BSD License"
-"numba","0.58.1","BSD License"
+"numba","0.59.1","BSD License"
"numpy","1.26.4","BSD License"
"nvidia-cublas-cu12","12.1.3.1","Other/Proprietary License"
"nvidia-cuda-cupti-cu12","12.1.105","Other/Proprietary License"
@@ -139,121 +150,127 @@
"nvidia-cusolver-cu12","11.4.5.107","Other/Proprietary License"
"nvidia-cusparse-cu12","12.1.0.106","Other/Proprietary License"
"nvidia-nccl-cu12","2.19.3","Other/Proprietary License"
-"nvidia-nvjitlink-cu12","12.3.101","Other/Proprietary License"
+"nvidia-nvjitlink-cu12","12.5.40","Other/Proprietary License"
"nvidia-nvtx-cu12","12.1.105","Other/Proprietary License"
"oauthlib","3.2.2","BSD License"
-"onnx","1.15.0","Apache License v2.0"
-"onnxruntime","1.17.1","MIT License"
-"opencv-python","4.9.0.80","Apache Software License"
-"opentelemetry-api","1.23.0","Apache Software License"
-"opentelemetry-exporter-otlp-proto-common","1.23.0","Apache Software License"
-"opentelemetry-exporter-otlp-proto-grpc","1.23.0","Apache Software License"
-"opentelemetry-instrumentation","0.44b0","Apache Software License"
-"opentelemetry-instrumentation-asgi","0.44b0","Apache Software License"
-"opentelemetry-instrumentation-fastapi","0.44b0","Apache Software License"
-"opentelemetry-instrumentation-grpc","0.44b0","Apache Software License"
-"opentelemetry-proto","1.23.0","Apache Software License"
-"opentelemetry-sdk","1.23.0","Apache Software License"
-"opentelemetry-semantic-conventions","0.44b0","Apache Software License"
-"opentelemetry-util-http","0.44b0","Apache Software License"
+"onnx","1.16.1","Apache License v2.0"
+"onnxruntime","1.18.0","MIT License"
+"opencv-python","4.10.0.82","Apache Software License"
+"opentelemetry-api","1.25.0","Apache Software License"
+"opentelemetry-exporter-otlp-proto-common","1.25.0","Apache Software License"
+"opentelemetry-exporter-otlp-proto-grpc","1.25.0","Apache Software License"
+"opentelemetry-instrumentation","0.46b0","Apache Software License"
+"opentelemetry-instrumentation-asgi","0.46b0","Apache Software License"
+"opentelemetry-instrumentation-fastapi","0.46b0","Apache Software License"
+"opentelemetry-instrumentation-grpc","0.46b0","Apache Software License"
+"opentelemetry-proto","1.25.0","Apache Software License"
+"opentelemetry-sdk","1.25.0","Apache Software License"
+"opentelemetry-semantic-conventions","0.46b0","Apache Software License"
+"opentelemetry-util-http","0.46b0","Apache Software License"
"opt-einsum","3.3.0","MIT"
-"optimum","1.17.1","Apache Software License"
-"orjson","3.9.15","Apache Software License; MIT License"
-"packaging","23.2","Apache Software License; BSD License"
-"pandas","2.2.1","BSD License"
+"optimum","1.20.0","Apache Software License"
+"orjson","3.10.5","Apache Software License; MIT License"
+"packaging","24.1","Apache Software License; BSD License"
+"pandas","2.2.2","BSD License"
"pathspec","0.12.1","Mozilla Public License 2.0 (MPL 2.0)"
-"pillow","10.2.0","Historical Permission Notice and Disclaimer (HPND)"
-"platformdirs","4.2.0","MIT License"
-"pluggy","1.4.0","MIT License"
+"pillow","10.3.0","Historical Permission Notice and Disclaimer (HPND)"
+"platformdirs","4.2.2","MIT License"
+"plotly","5.22.0","MIT License"
+"pluggy","1.5.0","MIT License"
"preshed","3.0.9","MIT License"
"prometheus_client","0.20.0","Apache Software License"
"protobuf","3.20.3","BSD-3-Clause"
"py-grpc-prometheus","0.8.0","UNKNOWN"
-"pyarrow","15.0.0","Apache Software License"
-"pyasn1","0.5.1","BSD License"
-"pyasn1-modules","0.3.0","BSD License"
+"pyarrow","15.0.2","Apache Software License"
+"pyasn1","0.6.0","BSD License"
+"pyasn1_modules","0.4.0","BSD License"
"pycodestyle","2.11.1","MIT License"
-"pydantic","1.10.14","MIT License"
+"pydantic","2.7.1","MIT License"
+"pydantic-settings","2.2.1","MIT License"
+"pydantic_core","2.18.2","MIT License"
"pyflakes","3.2.0","MIT License"
-"pyparsing","3.1.1","MIT License"
-"pyproject-api","1.6.1","MIT License"
+"pyparsing","3.1.2","MIT License"
+"pyproject-api","1.7.1","MIT License"
"pytest","7.4.4","MIT License"
"pytest-asyncio","0.21.1","Apache Software License"
-"pytest-cases","3.8.4","BSD License"
+"pytest-cases","3.8.5","BSD License"
+"pytest-lazy-fixture","0.6.3","MIT License"
"pytest-mock","3.12.0","MIT License"
-"pytest-xdist","3.5.0","MIT License"
-"python-dateutil","2.8.2","Apache Software License; BSD License"
+"pytest-xdist","3.6.1","MIT License"
+"python-dateutil","2.9.0.post0","Apache Software License; BSD License"
"python-dotenv","1.0.1","BSD License"
"python-multipart","0.0.9","Apache Software License"
-"python-rapidjson","1.16","MIT License"
-"pytorch-lightning","2.2.0.post0","Apache Software License"
-"pytz","2023.4","MIT License"
+"python-rapidjson","1.17","MIT License"
+"pytorch-lightning","2.3.1","Apache Software License"
+"pytz","2024.1","MIT License"
"querystring-parser","1.2.4","MIT License"
-"regex","2023.12.25","Apache Software License"
-"requests","2.31.0","Apache Software License"
+"regex","2024.5.15","Apache Software License"
+"requests","2.32.3","Apache Software License"
"requests-mock","1.11.0","Apache Software License"
-"requests-oauthlib","1.3.1","BSD License"
+"requests-oauthlib","2.0.0","BSD License"
"responses","0.18.0","Apache 2.0"
+"rich","13.7.1","MIT License"
"rsa","4.9","Apache Software License"
-"safetensors","0.4.2","Apache Software License"
+"safetensors","0.4.3","Apache Software License"
"scikit-image","0.22.0","BSD License"
-"scikit-learn","1.4.1.post1","BSD License"
-"scipy","1.12.0","BSD License"
+"scikit-learn","1.5.0","BSD License"
+"scipy","1.13.1","BSD License"
"sentencepiece","0.2.0","Apache Software License"
"shap","0.43.0","MIT License"
+"shellingham","1.5.4","ISC License (ISCL)"
"six","1.16.0","MIT License"
"slicer","0.0.7","MIT License"
-"smart-open","6.4.0","MIT License"
+"smart-open","7.0.4","MIT License"
"smmap","5.0.1","BSD License"
"sniffio","1.3.1","Apache Software License; MIT License"
-"spacy","3.7.4","MIT License"
+"spacy","3.7.5","MIT License"
"spacy-legacy","3.0.12","MIT License"
"spacy-loggers","1.0.5","MIT"
"spacy-lookups-data","1.0.5","MIT License"
-"sqlparse","0.4.4","BSD License"
+"sqlparse","0.5.0","BSD License"
"srsly","2.4.8","MIT License"
"starlette","0.36.3","BSD License"
-"starlette_exporter","0.21.0","Apache License 2.0"
-"sympy","1.12","BSD License"
-"tenacity","8.2.3","Apache Software License"
+"starlette_exporter","0.22.0","Apache License 2.0"
+"sympy","1.12.1","BSD License"
+"tenacity","8.4.1","Apache Software License"
"tensorboard","2.14.1","Apache Software License"
"tensorboard-data-server","0.7.2","Apache Software License"
"tensorflow","2.14.1","Apache Software License"
"tensorflow-estimator","2.14.0","Apache Software License"
-"tensorflow-io-gcs-filesystem","0.36.0","Apache Software License"
+"tensorflow-io-gcs-filesystem","0.37.0","Apache Software License"
"tensorflow-probability","0.22.1","Apache Software License"
"termcolor","2.4.0","MIT License"
-"thinc","8.2.3","MIT License"
-"threadpoolctl","3.3.0","BSD License"
-"tifffile","2024.2.12","BSD License"
-"tokenizers","0.15.2","Apache Software License"
+"thinc","8.2.4","MIT License"
+"threadpoolctl","3.5.0","BSD License"
+"tifffile","2024.5.22","BSD License"
+"tokenizers","0.19.1","Apache Software License"
"toml","0.10.2","MIT License"
"tomli","2.0.1","MIT License"
"torch","2.2.1","BSD License"
-"torchmetrics","1.3.1","Apache Software License"
+"torchmetrics","1.4.0.post0","Apache Software License"
"torchvision","0.17.1","BSD"
-"tox","4.6.3","MIT License"
-"tqdm","4.66.2","MIT License; Mozilla Public License 2.0 (MPL 2.0)"
-"transformers","4.38.2","Apache Software License"
+"tox","4.16.0","MIT License"
+"tqdm","4.66.4","MIT License; Mozilla Public License 2.0 (MPL 2.0)"
+"transformers","4.41.2","Apache Software License"
"triton","2.2.0","MIT License"
-"tritonclient","2.42.0","BSD License"
-"typer","0.9.0","MIT License"
+"tritonclient","2.46.0","BSD License"
+"typer","0.12.3","MIT License"
"types-aiofiles","23.2.0.20240106","Apache Software License"
"types-orjson","3.6.2","Apache Software License"
-"types-protobuf","4.24.0.20240129","Apache Software License"
+"types-protobuf","5.26.0.20240422","Apache Software License"
"types-requests","2.31.0.20240311","Apache Software License"
-"typing_extensions","4.10.0","Python Software Foundation License"
+"typing_extensions","4.12.2","Python Software Foundation License"
"tzdata","2024.1","Apache Software License"
-"urllib3","2.2.1","MIT License"
-"uvicorn","0.28.0","BSD License"
+"urllib3","2.2.2","MIT License"
+"uvicorn","0.30.1","BSD License"
"uvloop","0.19.0","Apache Software License; MIT License"
-"virtualenv","20.25.1","MIT License"
-"wasabi","1.1.2","MIT"
-"weasel","0.3.4","MIT License"
+"virtualenv","20.26.3","MIT License"
+"wasabi","1.1.3","MIT"
+"weasel","0.4.1","MIT License"
"wrapt","1.14.1","BSD License"
"xgboost","2.0.3","Apache Software License"
"xxhash","3.4.1","BSD License"
"yarl","1.9.4","Apache Software License"
-"zipp","3.17.0","MIT License"
+"zipp","3.19.2","MIT License"
"zope.event","5.0","Zope Public License"
-"zope.interface","6.2","Zope Public License"
+"zope.interface","6.4.post2","Zope Public License"
diff --git a/licenses/license_info.no_versions.csv b/licenses/license_info.no_versions.csv
index 549d4e35a..325957b8a 100644
--- a/licenses/license_info.no_versions.csv
+++ b/licenses/license_info.no_versions.csv
@@ -8,10 +8,12 @@
"Markdown","BSD License"
"MarkupSafe","BSD License"
"PyYAML","MIT License"
+"Pygments","BSD License"
"SQLAlchemy","MIT License"
"Werkzeug","BSD License"
"absl-py","Apache Software License"
"aiofiles","Apache Software License"
+"aiohappyeyeballs","Python License (CNRI Python License)"
"aiohttp","Apache Software License"
"aiohttp-retry","MIT License"
"aiokafka","Apache Software License"
@@ -20,6 +22,7 @@
"alibi","Other/Proprietary License"
"alibi-detect","Other/Proprietary License"
"aniso8601","BSD License"
+"annotated-types","MIT License"
"anyio","MIT License"
"argcomplete","Apache Software License"
"asgiref","BSD License"
@@ -31,6 +34,7 @@
"blis","BSD License"
"cachetools","MIT License"
"catalogue","MIT License"
+"catboost","Apache License
"certifi","Mozilla Public License 2.0 (MPL 2.0)"
"chardet","GNU Lesser General Public License v2 or later (LGPLv2+)"
"charset-normalizer","MIT License"
@@ -78,6 +82,7 @@
"graphene","MIT"
"graphql-core","MIT License"
"graphql-relay","MIT License"
+"graphviz","MIT License"
"greenlet","MIT License"
"grpcio","Apache Software License"
"grpcio-tools","Apache Software License"
@@ -86,11 +91,12 @@
"h5py","BSD License"
"httpcore","BSD License"
"httpx","BSD License"
+"httpx-sse","MIT"
"huggingface-hub","Apache Software License"
"humanfriendly","MIT License"
"idna","BSD License"
"imageio","BSD License"
-"importlib-metadata","Apache Software License"
+"importlib_metadata","Apache Software License"
"importlib_resources","Apache Software License"
"inflect","MIT License"
"iniconfig","MIT License"
@@ -101,19 +107,24 @@
"keras","Apache Software License"
"kiwisolver","BSD License"
"langcodes","MIT License"
+"language_data","MIT License"
"lazy_loader","BSD License"
"libclang","Apache Software License"
"lightgbm","MIT License"
"lightning-utilities","Apache-2.0"
"llvmlite","BSD"
"makefun","BSD License"
+"marisa-trie","MIT License"
+"markdown-it-py","MIT License"
"matplotlib","Python Software Foundation License"
"mccabe","MIT License"
+"mdurl","MIT License"
"ml-dtypes","Apache Software License"
-"mlflow","Apache License 2.0"
+"mlflow","Apache Software License"
"mlserver","Apache Software License"
"mlserver-alibi-detect","Apache Software License"
"mlserver-alibi-explain","Apache Software License"
+"mlserver-catboost","Apache Software License"
"mlserver-huggingface","Apache Software License"
"mlserver-lightgbm","Apache Software License"
"mlserver-mlflow","Apache Software License"
@@ -164,6 +175,7 @@
"pathspec","Mozilla Public License 2.0 (MPL 2.0)"
"pillow","Historical Permission Notice and Disclaimer (HPND)"
"platformdirs","MIT License"
+"plotly","MIT License"
"pluggy","MIT License"
"preshed","MIT License"
"prometheus_client","Apache Software License"
@@ -171,15 +183,18 @@
"py-grpc-prometheus","UNKNOWN"
"pyarrow","Apache Software License"
"pyasn1","BSD License"
-"pyasn1-modules","BSD License"
+"pyasn1_modules","BSD License"
"pycodestyle","MIT License"
"pydantic","MIT License"
+"pydantic-settings","MIT License"
+"pydantic_core","MIT License"
"pyflakes","MIT License"
"pyparsing","MIT License"
"pyproject-api","MIT License"
"pytest","MIT License"
"pytest-asyncio","Apache Software License"
"pytest-cases","BSD License"
+"pytest-lazy-fixture","MIT License"
"pytest-mock","MIT License"
"pytest-xdist","MIT License"
"python-dateutil","Apache Software License; BSD License"
@@ -194,6 +209,7 @@
"requests-mock","Apache Software License"
"requests-oauthlib","BSD License"
"responses","Apache 2.0"
+"rich","MIT License"
"rsa","Apache Software License"
"safetensors","Apache Software License"
"scikit-image","BSD License"
@@ -201,6 +217,7 @@
"scipy","BSD License"
"sentencepiece","Apache Software License"
"shap","MIT License"
+"shellingham","ISC License (ISCL)"
"six","MIT License"
"slicer","MIT License"
"smart-open","MIT License"
diff --git a/mlserver/batch_processing.py b/mlserver/batch_processing.py
index 2acec0ca1..83badf309 100644
--- a/mlserver/batch_processing.py
+++ b/mlserver/batch_processing.py
@@ -15,7 +15,7 @@
from time import perf_counter as timer
from typing import Dict, List, Optional, Tuple
-from pydantic.error_wrappers import ValidationError
+from pydantic import ValidationError
from mlserver.batching.requests import BatchedRequests
from mlserver.types import InferenceRequest, InferenceResponse, Parameters
@@ -201,7 +201,7 @@ def preprocess_items(
invalid_inputs = []
for item in items:
try:
- inference_request = InferenceRequest.parse_obj(orjson.loads(item.item))
+ inference_request = InferenceRequest.model_validate(orjson.loads(item.item))
# try to use `id` from the input file to identify each request in the batch
if inference_request.id is None:
inference_request.id = generate_uuid()
@@ -247,7 +247,8 @@ def postprocess_items(
output_items.append(
BatchOutputItem(
- index=item_indices[item_id], item=inference_response.json().encode()
+ index=item_indices[item_id],
+ item=inference_response.model_dump_json().encode(),
)
)
return output_items
diff --git a/mlserver/batching/hooks.py b/mlserver/batching/hooks.py
index 28d3071b1..f98d3c4f6 100644
--- a/mlserver/batching/hooks.py
+++ b/mlserver/batching/hooks.py
@@ -1,5 +1,5 @@
from functools import wraps
-from typing import Awaitable, Callable, Optional
+from typing import Awaitable, Callable, Optional, AsyncIterator
from ..errors import MLServerError
from ..model import MLModel
@@ -20,6 +20,26 @@ def __init__(self, method_name: str, reason: Optional[str] = None):
super().__init__(msg)
+def _get_batcher(f: Callable) -> AdaptiveBatcher:
+ wrapped_f = get_wrapped_method(f)
+ model = _get_model(f)
+
+ if not hasattr(model, _AdaptiveBatchingAttr):
+ raise InvalidBatchingMethod(
+ wrapped_f.__name__, reason="adaptive batching has not been loaded"
+ )
+
+ return getattr(model, _AdaptiveBatchingAttr)
+
+
+def _get_model(f: Callable) -> MLModel:
+ wrapped_f = get_wrapped_method(f)
+ if not hasattr(wrapped_f, "__self__"):
+ raise InvalidBatchingMethod(wrapped_f.__name__, reason="method is not bound")
+
+ return getattr(wrapped_f, "__self__")
+
+
def adaptive_batching(f: Callable[[InferenceRequest], Awaitable[InferenceResponse]]):
"""
Decorator for the `predict()` method which will ensure it uses the
@@ -28,24 +48,36 @@ def adaptive_batching(f: Callable[[InferenceRequest], Awaitable[InferenceRespons
@wraps(f)
async def _inner(payload: InferenceRequest) -> InferenceResponse:
- wrapped_f = get_wrapped_method(f)
- if not hasattr(wrapped_f, "__self__"):
- raise InvalidBatchingMethod(
- wrapped_f.__name__, reason="method is not bound"
- )
-
- model = getattr(wrapped_f, "__self__")
- if not hasattr(model, _AdaptiveBatchingAttr):
- raise InvalidBatchingMethod(
- wrapped_f.__name__, reason="adaptive batching has not been loaded"
- )
-
- batcher = getattr(model, _AdaptiveBatchingAttr)
+ batcher = _get_batcher(f)
return await batcher.predict(payload)
return _inner
+def not_implemented_warning(
+ f: Callable[[AsyncIterator[InferenceRequest]], AsyncIterator[InferenceResponse]],
+):
+ """
+ Decorator to lets users know that adaptive batching is not required on
+ method `f`.
+ """
+ model = _get_model(f)
+ logger.warning(
+ f"Adaptive Batching is enabled for model '{model.name}'"
+ " but not supported for inference streaming."
+ " Falling back to non-batched inference streaming."
+ )
+
+ @wraps(f)
+ async def _inner_stream(
+ payload: AsyncIterator[InferenceRequest],
+ ) -> AsyncIterator[InferenceResponse]:
+ async for response in f(payload):
+ yield response
+
+ return _inner_stream
+
+
async def load_batching(model: MLModel) -> MLModel:
if model.settings.max_batch_size <= 1:
return model
@@ -64,7 +96,7 @@ async def load_batching(model: MLModel) -> MLModel:
batcher = AdaptiveBatcher(model)
setattr(model, _AdaptiveBatchingAttr, batcher)
- # Decorate predict method
+ # Decorate predict methods
setattr(model, "predict", adaptive_batching(model.predict))
-
+ setattr(model, "predict_stream", not_implemented_warning(model.predict_stream))
return model
diff --git a/mlserver/batching/requests.py b/mlserver/batching/requests.py
index 0aeaabd21..daf85c3d1 100644
--- a/mlserver/batching/requests.py
+++ b/mlserver/batching/requests.py
@@ -13,13 +13,13 @@
def _get_data(payload: Union[RequestInput, ResponseOutput]):
- return getattr(payload.data, "__root__", payload.data)
+ return getattr(payload.data, "root", payload.data)
def _get_parameters(payload: ResponseOutput) -> DefaultDict[Any, Any]:
parameters = defaultdict(list)
if payload.parameters is not None:
- payload_parameters = payload.parameters.dict()
+ payload_parameters = payload.parameters.model_dump()
for param_name, param_values in payload_parameters.items():
if param_name in ["content_type", "headers"]:
continue
@@ -41,7 +41,7 @@ def _merge_parameters(
if not parametrised_obj.parameters:
return all_params
- obj_params = parametrised_obj.parameters.dict()
+ obj_params = parametrised_obj.parameters.model_dump()
return {**all_params, **obj_params}
@@ -53,7 +53,7 @@ def _merge_input_parameters(
) -> dict:
if not parametrised_obj.parameters:
return all_params
- obj_params = parametrised_obj.parameters.dict()
+ obj_params = parametrised_obj.parameters.model_dump()
if all_params == {}:
return obj_params
else:
diff --git a/mlserver/cli/constants.py b/mlserver/cli/constants.py
index c8cb93ae7..5f3728239 100644
--- a/mlserver/cli/constants.py
+++ b/mlserver/cli/constants.py
@@ -2,7 +2,7 @@
DockerfileName = "Dockerfile"
DockerfileTemplate = """
-FROM continuumio/miniconda3:23.5.2-0 AS env-builder
+FROM continuumio/miniconda3:24.4.0-0 AS env-builder
SHELL ["/bin/bash", "-c"]
ARG MLSERVER_ENV_NAME="mlserver-custom-env" \\
diff --git a/mlserver/codecs/base64.py b/mlserver/codecs/base64.py
index ceb4ec8e1..b8539699e 100644
--- a/mlserver/codecs/base64.py
+++ b/mlserver/codecs/base64.py
@@ -69,7 +69,8 @@ def encode_output(
@classmethod
def decode_output(cls, response_output: ResponseOutput) -> List[bytes]:
- packed = response_output.data.__root__
+ packed = response_output.data.root
+
return list(map(_decode_base64, as_list(packed)))
@classmethod
@@ -88,6 +89,6 @@ def encode_input(
@classmethod
def decode_input(cls, request_input: RequestInput) -> List[bytes]:
- packed = request_input.data.__root__
+ packed = request_input.data.root
return list(map(_decode_base64, as_list(packed)))
diff --git a/mlserver/codecs/datetime.py b/mlserver/codecs/datetime.py
index 02dc47d99..ef4fa2e7f 100644
--- a/mlserver/codecs/datetime.py
+++ b/mlserver/codecs/datetime.py
@@ -67,7 +67,7 @@ def encode_output(
@classmethod
def decode_output(cls, response_output: ResponseOutput) -> List[datetime]:
- packed = response_output.data.__root__
+ packed = response_output.data.root
return list(map(_decode_datetime, as_list(packed)))
@@ -86,6 +86,6 @@ def encode_input(
@classmethod
def decode_input(cls, request_input: RequestInput) -> List[datetime]:
- packed = request_input.data.__root__
+ packed = request_input.data.root
return list(map(_decode_datetime, as_list(packed)))
diff --git a/mlserver/codecs/json.py b/mlserver/codecs/json.py
new file mode 100644
index 000000000..9afbf7e4b
--- /dev/null
+++ b/mlserver/codecs/json.py
@@ -0,0 +1,61 @@
+# seperate file to side step circular dependency on the decode_str function
+
+from typing import Any, Union
+import json
+
+try:
+ import orjson
+except ImportError:
+ orjson = None # type: ignore
+
+from .string import decode_str
+
+
+# originally taken from: mlserver/rest/responses.py
+class _BytesJSONEncoder(json.JSONEncoder):
+ def default(self, obj):
+ if isinstance(obj, bytes):
+ # If we get a bytes payload, try to decode it back to a string on a
+ # "best effort" basis
+ return decode_str(obj)
+
+ return super().default(self, obj)
+
+
+def _encode_object_to_bytes(obj: Any) -> str:
+ """
+ Add compatibility with `bytes` payloads to `orjson`
+ """
+ if isinstance(obj, bytes):
+ # If we get a bytes payload, try to decode it back to a string on a
+ # "best effort" basis
+ return decode_str(obj)
+
+ raise TypeError
+
+
+def encode_to_json_bytes(v: Any) -> bytes:
+ """encodes a dict into json bytes, can deal with byte like values gracefully"""
+ if orjson is None:
+ # Original implementation of starlette's JSONResponse, using our
+ # custom encoder (capable of "encoding" bytes).
+ # Original implementation can be seen here:
+ # https://github.com/encode/starlette/blob/
+ # f53faba229e3fa2844bc3753e233d9c1f54cca52/starlette/responses.py#L173-L180
+ return json.dumps(
+ v,
+ ensure_ascii=False,
+ allow_nan=False,
+ indent=None,
+ separators=(",", ":"),
+ cls=_BytesJSONEncoder,
+ ).encode("utf-8")
+
+ return orjson.dumps(v, default=_encode_object_to_bytes)
+
+
+def decode_from_bytelike_json_to_dict(v: Union[bytes, str]) -> dict:
+ if orjson is None:
+ return json.loads(v)
+
+ return orjson.loads(v)
diff --git a/mlserver/codecs/lists.py b/mlserver/codecs/lists.py
index 4bdc2af8a..35c8726d0 100644
--- a/mlserver/codecs/lists.py
+++ b/mlserver/codecs/lists.py
@@ -19,9 +19,10 @@ def isinstance_of_type(payload: Any) -> bool:
def as_list(payload: ListPayload) -> Iterator[ListElement]:
+ """Return a payload as an iterator. Single elements will be
+ treated as a list of 1 item. All elements are assumed to be
+ string-like."""
if isinstance(payload, list):
- # If it's a list, assume list of strings
yield from payload
else:
- # If not a list, assume that it's a single element
yield payload
diff --git a/mlserver/codecs/numpy.py b/mlserver/codecs/numpy.py
index 9c3f50e2d..c61a10408 100644
--- a/mlserver/codecs/numpy.py
+++ b/mlserver/codecs/numpy.py
@@ -37,7 +37,7 @@ def to_dtype(input_or_output: InputOrOutput) -> "np.dtype":
dtype = _DatatypeToNumpy[Datatype(input_or_output.datatype)]
if input_or_output.datatype == "BYTES":
- data = getattr(input_or_output.data, "__root__", input_or_output.data)
+ data = getattr(input_or_output.data, "root", input_or_output.data)
if is_list_of(data, str):
# Handle special case of strings being treated as Numpy arrays
return np.dtype(str)
@@ -63,7 +63,7 @@ def to_datatype(dtype: np.dtype) -> Datatype:
def _to_ndarray(input_or_output: InputOrOutput) -> np.ndarray:
- data = getattr(input_or_output.data, "__root__", input_or_output.data)
+ data = getattr(input_or_output.data, "root", input_or_output.data)
dtype = to_dtype(input_or_output)
if Datatype(input_or_output.datatype) == Datatype.BYTES:
diff --git a/mlserver/codecs/pandas.py b/mlserver/codecs/pandas.py
index c74787acc..6af226504 100644
--- a/mlserver/codecs/pandas.py
+++ b/mlserver/codecs/pandas.py
@@ -26,8 +26,7 @@ def _to_series(input_or_output: InputOrOutput) -> pd.Series:
return pd.Series(payload)
if isinstance(payload, np.ndarray):
- # Necessary so that it's compatible with pd.Series
- payload = list(payload)
+ payload = payload.reshape(input_or_output.shape[0], 1).squeeze(axis=1)
dtype = to_dtype(input_or_output)
return pd.Series(payload, dtype=dtype)
diff --git a/mlserver/codecs/string.py b/mlserver/codecs/string.py
index 3f2ca7c76..58b9acd8d 100644
--- a/mlserver/codecs/string.py
+++ b/mlserver/codecs/string.py
@@ -29,7 +29,7 @@ def decode_str(encoded: ListElement, str_codec=_DefaultStrCodec) -> str:
def _decode_input_or_output(input_or_output: InputOrOutput) -> List[str]:
- packed = input_or_output.data.__root__
+ packed = input_or_output.data.root
unpacked = map(decode_str, as_list(packed))
return list(unpacked)
diff --git a/mlserver/env.py b/mlserver/env.py
index 3ddf91537..9f1f04e29 100644
--- a/mlserver/env.py
+++ b/mlserver/env.py
@@ -1,5 +1,7 @@
import asyncio
+import multiprocessing
import os
+import shutil
import sys
import tarfile
import glob
@@ -17,7 +19,7 @@ def _extract_env(tarball_path: str, env_path: str) -> None:
tarball.extractall(path=env_path)
-def _compute_hash(tarball_path: str) -> str:
+def _compute_hash_of_file(tarball_path: str) -> str:
"""
From Python 3.11's implementation of `hashlib.file_digest()`:
https://github.com/python/cpython/blob/3.11/Lib/hashlib.py#L257
@@ -38,9 +40,20 @@ def _compute_hash(tarball_path: str) -> str:
return h.hexdigest()
-async def compute_hash(tarball_path: str) -> str:
+def _compute_hash_of_string(string: str) -> str:
+ h = hashlib.sha256()
+ h.update(string.encode())
+ return h.hexdigest()
+
+
+async def compute_hash_of_file(tarball_path: str) -> str:
+ loop = asyncio.get_running_loop()
+ return await loop.run_in_executor(None, _compute_hash_of_file, tarball_path)
+
+
+async def compute_hash_of_string(string: str) -> str:
loop = asyncio.get_running_loop()
- return await loop.run_in_executor(None, _compute_hash, tarball_path)
+ return await loop.run_in_executor(None, _compute_hash_of_string, string)
class Environment:
@@ -50,7 +63,8 @@ class Environment:
environment.
"""
- def __init__(self, env_path: str, env_hash: str):
+ def __init__(self, env_path: str, env_hash: str, delete_env: bool = True):
+ self._delete_env = delete_env
self._env_path = env_path
self.env_hash = env_hash
@@ -66,7 +80,7 @@ async def from_tarball(
await loop.run_in_executor(None, _extract_env, tarball_path, env_path)
if not env_hash:
- env_hash = await compute_hash(tarball_path)
+ env_hash = await compute_hash_of_file(tarball_path)
return cls(env_path, env_hash)
@@ -99,6 +113,13 @@ def _bin_path(self) -> str:
"""
return os.path.join(self._env_path, "bin")
+ @cached_property
+ def _exec_path(self) -> str:
+ """
+ Path to python executable in our custom environment.
+ """
+ return os.path.join(self._bin_path, "python")
+
@cached_property
def _lib_path(self) -> str:
"""
@@ -118,11 +139,18 @@ def __enter__(self) -> "Environment":
self._prev_sys_path = sys.path
self._prev_bin_path = os.environ["PATH"]
+ multiprocessing.set_executable(self._exec_path)
sys.path = [*self._sys_path, *self._prev_sys_path]
os.environ["PATH"] = os.pathsep.join([self._bin_path, self._prev_bin_path])
return self
def __exit__(self, *exc_details) -> None:
+ multiprocessing.set_executable(sys.executable)
sys.path = self._prev_sys_path
os.environ["PATH"] = self._prev_bin_path
+
+ def __del__(self) -> None:
+ logger.info("Cleaning up environment")
+ if self._delete_env:
+ shutil.rmtree(self._env_path)
diff --git a/mlserver/grpc/converters.py b/mlserver/grpc/converters.py
index 602979e7c..ceff3b324 100644
--- a/mlserver/grpc/converters.py
+++ b/mlserver/grpc/converters.py
@@ -223,7 +223,7 @@ def to_types(
return types.RequestInput.construct(
name=pb_object.name,
shape=list(pb_object.shape),
- datatype=Datatype(pb_object.datatype),
+ datatype=pb_object.datatype,
parameters=ParametersConverter.to_types(pb_object.parameters),
data=InferTensorContentsConverter.to_types(pb_object.contents),
)
@@ -296,7 +296,7 @@ def from_types(
cls, type_object: types.Parameters
) -> Mapping[str, pb.InferParameter]:
pb_object = {}
- as_dict = type_object.dict()
+ as_dict = type_object.model_dump(by_alias=True)
for key, value in as_dict.items():
infer_parameter_key = cls._get_inferparameter_key(value)
@@ -326,7 +326,7 @@ class InferTensorContentsConverter:
def to_types(cls, pb_object: pb.InferTensorContents) -> types.TensorData:
data = _get_value(pb_object, default=[])
as_list = list(data)
- return types.TensorData.construct(__root__=as_list)
+ return types.TensorData(root=as_list)
@classmethod
def from_types(
diff --git a/mlserver/grpc/dataplane_pb2.py b/mlserver/grpc/dataplane_pb2.py
index 948c1aa9f..b33d31f63 100644
--- a/mlserver/grpc/dataplane_pb2.py
+++ b/mlserver/grpc/dataplane_pb2.py
@@ -14,7 +14,7 @@
DESCRIPTOR = _descriptor_pool.Default().AddSerializedFile(
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\x01(\x0b\x32\x19.inference.InferParameter:\x02\x38\x01\x1aL\n\x0fParametersEntry\x12\x0b\n\x03key\x18\x01 \x01(\t\x12(\n\x05value\x18\x02 \x01(\x0b\x32\x19.inference.InferParameter:\x02\x38\x01"i\n\x0eInferParameter\x12\x14\n\nbool_param\x18\x01 \x01(\x08H\x00\x12\x15\n\x0bint64_param\x18\x02 \x01(\x03H\x00\x12\x16\n\x0cstring_param\x18\x03 \x01(\tH\x00\x42\x12\n\x10parameter_choice"\xd0\x01\n\x13InferTensorContents\x12\x15\n\rbool_contents\x18\x01 \x03(\x08\x12\x14\n\x0cint_contents\x18\x02 \x03(\x05\x12\x16\n\x0eint64_contents\x18\x03 \x03(\x03\x12\x15\n\ruint_contents\x18\x04 \x03(\r\x12\x17\n\x0fuint64_contents\x18\x05 \x03(\x04\x12\x15\n\rfp32_contents\x18\x06 \x03(\x02\x12\x15\n\rfp64_contents\x18\x07 \x03(\x01\x12\x16\n\x0e\x62ytes_contents\x18\x08 \x03(\x0c"\x8a\x01\n\x18ModelRepositoryParameter\x12\x14\n\nbool_param\x18\x01 \x01(\x08H\x00\x12\x15\n\x0bint64_param\x18\x02 \x01(\x03H\x00\x12\x16\n\x0cstring_param\x18\x03 \x01(\tH\x00\x12\x15\n\x0b\x62ytes_param\x18\x04 \x01(\x0cH\x00\x42\x12\n\x10parameter_choice"@\n\x16RepositoryIndexRequest\x12\x17\n\x0frepository_name\x18\x01 \x01(\t\x12\r\n\x05ready\x18\x02 \x01(\x08"\xa4\x01\n\x17RepositoryIndexResponse\x12=\n\x06models\x18\x01 \x03(\x0b\x32-.inference.RepositoryIndexResponse.ModelIndex\x1aJ\n\nModelIndex\x12\x0c\n\x04name\x18\x01 \x01(\t\x12\x0f\n\x07version\x18\x02 \x01(\t\x12\r\n\x05state\x18\x03 \x01(\t\x12\x0e\n\x06reason\x18\x04 \x01(\t"\xec\x01\n\x1aRepositoryModelLoadRequest\x12\x17\n\x0frepository_name\x18\x01 \x01(\t\x12\x12\n\nmodel_name\x18\x02 \x01(\t\x12I\n\nparameters\x18\x03 \x03(\x0b\x32\x35.inference.RepositoryModelLoadRequest.ParametersEntry\x1aV\n\x0fParametersEntry\x12\x0b\n\x03key\x18\x01 \x01(\t\x12\x32\n\x05value\x18\x02 \x01(\x0b\x32#.inference.ModelRepositoryParameter:\x02\x38\x01"\x1d\n\x1bRepositoryModelLoadResponse"\xf0\x01\n\x1cRepositoryModelUnloadRequest\x12\x17\n\x0frepository_name\x18\x01 \x01(\t\x12\x12\n\nmodel_name\x18\x02 \x01(\t\x12K\n\nparameters\x18\x03 \x03(\x0b\x32\x37.inference.RepositoryModelUnloadRequest.ParametersEntry\x1aV\n\x0fParametersEntry\x12\x0b\n\x03key\x18\x01 \x01(\t\x12\x32\n\x05value\x18\x02 \x01(\x0b\x32#.inference.ModelRepositoryParameter:\x02\x38\x01"\x1f\n\x1dRepositoryModelUnloadResponse2\x85\x07\n\x14GRPCInferenceService\x12K\n\nServerLive\x12\x1c.inference.ServerLiveRequest\x1a\x1d.inference.ServerLiveResponse"\x00\x12N\n\x0bServerReady\x12\x1d.inference.ServerReadyRequest\x1a\x1e.inference.ServerReadyResponse"\x00\x12K\n\nModelReady\x12\x1c.inference.ModelReadyRequest\x1a\x1d.inference.ModelReadyResponse"\x00\x12W\n\x0eServerMetadata\x12 .inference.ServerMetadataRequest\x1a!.inference.ServerMetadataResponse"\x00\x12T\n\rModelMetadata\x12\x1f.inference.ModelMetadataRequest\x1a .inference.ModelMetadataResponse"\x00\x12K\n\nModelInfer\x12\x1c.inference.ModelInferRequest\x1a\x1d.inference.ModelInferResponse"\x00\x12U\n\x10ModelStreamInfer\x12\x1c.inference.ModelInferRequest\x1a\x1d.inference.ModelInferResponse"\x00(\x01\x30\x01\x12Z\n\x0fRepositoryIndex\x12!.inference.RepositoryIndexRequest\x1a".inference.RepositoryIndexResponse"\x00\x12\x66\n\x13RepositoryModelLoad\x12%.inference.RepositoryModelLoadRequest\x1a&.inference.RepositoryModelLoadResponse"\x00\x12l\n\x15RepositoryModelUnload\x12\'.inference.RepositoryModelUnloadRequest\x1a(.inference.RepositoryModelUnloadResponse"\x00\x42\x0f\n\x07\x65x.grpc\xa2\x02\x03HSWb\x06proto3'
)
@@ -466,6 +466,7 @@
if _descriptor._USE_C_DESCRIPTORS == False:
DESCRIPTOR._options = None
+ DESCRIPTOR._serialized_options = b"\n\007ex.grpc\242\002\003HSW"
_MODELMETADATARESPONSE_TENSORMETADATA_PARAMETERSENTRY._options = None
_MODELMETADATARESPONSE_TENSORMETADATA_PARAMETERSENTRY._serialized_options = b"8\001"
_MODELMETADATARESPONSE_PARAMETERSENTRY._options = None
@@ -559,5 +560,5 @@
_REPOSITORYMODELUNLOADRESPONSE._serialized_start = 3663
_REPOSITORYMODELUNLOADRESPONSE._serialized_end = 3694
_GRPCINFERENCESERVICE._serialized_start = 3697
- _GRPCINFERENCESERVICE._serialized_end = 4511
+ _GRPCINFERENCESERVICE._serialized_end = 4598
# @@protoc_insertion_point(module_scope)
diff --git a/mlserver/grpc/dataplane_pb2_grpc.py b/mlserver/grpc/dataplane_pb2_grpc.py
index 9ad255a0a..266d34de7 100644
--- a/mlserver/grpc/dataplane_pb2_grpc.py
+++ b/mlserver/grpc/dataplane_pb2_grpc.py
@@ -47,6 +47,11 @@ def __init__(self, channel):
request_serializer=dataplane__pb2.ModelInferRequest.SerializeToString,
response_deserializer=dataplane__pb2.ModelInferResponse.FromString,
)
+ self.ModelStreamInfer = channel.stream_stream(
+ "/inference.GRPCInferenceService/ModelStreamInfer",
+ request_serializer=dataplane__pb2.ModelInferRequest.SerializeToString,
+ response_deserializer=dataplane__pb2.ModelInferResponse.FromString,
+ )
self.RepositoryIndex = channel.unary_unary(
"/inference.GRPCInferenceService/RepositoryIndex",
request_serializer=dataplane__pb2.RepositoryIndexRequest.SerializeToString,
@@ -106,6 +111,12 @@ def ModelInfer(self, request, context):
context.set_details("Method not implemented!")
raise NotImplementedError("Method not implemented!")
+ def ModelStreamInfer(self, request_iterator, context):
+ """Perform stream inference using a specific model."""
+ context.set_code(grpc.StatusCode.UNIMPLEMENTED)
+ context.set_details("Method not implemented!")
+ raise NotImplementedError("Method not implemented!")
+
def RepositoryIndex(self, request, context):
"""Get the index of model repository contents."""
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
@@ -157,6 +168,11 @@ def add_GRPCInferenceServiceServicer_to_server(servicer, server):
request_deserializer=dataplane__pb2.ModelInferRequest.FromString,
response_serializer=dataplane__pb2.ModelInferResponse.SerializeToString,
),
+ "ModelStreamInfer": grpc.stream_stream_rpc_method_handler(
+ servicer.ModelStreamInfer,
+ request_deserializer=dataplane__pb2.ModelInferRequest.FromString,
+ response_serializer=dataplane__pb2.ModelInferResponse.SerializeToString,
+ ),
"RepositoryIndex": grpc.unary_unary_rpc_method_handler(
servicer.RepositoryIndex,
request_deserializer=dataplane__pb2.RepositoryIndexRequest.FromString,
@@ -360,6 +376,35 @@ def ModelInfer(
metadata,
)
+ @staticmethod
+ def ModelStreamInfer(
+ request_iterator,
+ target,
+ options=(),
+ channel_credentials=None,
+ call_credentials=None,
+ insecure=False,
+ compression=None,
+ wait_for_ready=None,
+ timeout=None,
+ metadata=None,
+ ):
+ return grpc.experimental.stream_stream(
+ request_iterator,
+ target,
+ "/inference.GRPCInferenceService/ModelStreamInfer",
+ dataplane__pb2.ModelInferRequest.SerializeToString,
+ dataplane__pb2.ModelInferResponse.FromString,
+ options,
+ channel_credentials,
+ insecure,
+ call_credentials,
+ compression,
+ wait_for_ready,
+ timeout,
+ metadata,
+ )
+
@staticmethod
def RepositoryIndex(
request,
diff --git a/mlserver/grpc/interceptors.py b/mlserver/grpc/interceptors.py
index c1d6e2df8..99de6d500 100644
--- a/mlserver/grpc/interceptors.py
+++ b/mlserver/grpc/interceptors.py
@@ -1,9 +1,12 @@
-from typing import Awaitable, Callable, Tuple
+from typing import Awaitable, AsyncIterator, Callable, Tuple, Optional
from functools import partial
from timeit import default_timer
+from mlserver.grpc import dataplane_pb2 as pb
from grpc.aio import ServerInterceptor, ServicerContext
from grpc import HandlerCallDetails, RpcMethodHandler, RpcError, StatusCode
+
+from prometheus_client import Counter
from py_grpc_prometheus.prometheus_server_interceptor import (
grpc_utils,
PromServerInterceptor as _PromServerInterceptor,
@@ -50,43 +53,10 @@ async def intercept_service(
metrics_wrapper = partial(self._metrics_wrapper, method_call)
return self._interceptor._wrap_rpc_behavior(handler, metrics_wrapper)
- def _compute_status_code(self, servicer_context: ServicerContext) -> StatusCode:
- """
- This method is mostly copied from `py-grpc-prometheus`, with a couple
- minor changes to avoid using private APIs from ServicerContext which
- don't exist anymore in `grpc.aio`.
- To see the original implementation, please check:
-
- https://github.com/lchenn/py-grpc-prometheus/blob/eb9dee1f0a4e57cef220193ee48021dc9a9f3d82/py_grpc_prometheus/prometheus_server_interceptor.py#L127-L134
- """
- # Backwards compatibility for non-aio.
- # TODO: It's not clear yet how to check whether the context has been
- # cancelled with aio.
- if hasattr(servicer_context, "_state"):
- if servicer_context._state.client == "cancelled":
- return StatusCode.CANCELLED
-
- if not hasattr(servicer_context, "code"):
- return StatusCode.OK
-
- code = servicer_context.code()
- if code is None:
- return StatusCode.OK
-
- # NOTE: With gRPC AIO, the `code` can be a plain integer that needs to
- # be converted to an actual `StatusCode` entry
- if isinstance(code, int):
- if code not in self._status_codes:
- return StatusCode.UNKNOWN
-
- return self._status_codes[code]
-
- return code
-
def _metrics_wrapper(
self,
method_call: Tuple[str, str, str],
- old_handler: RpcMethodHandler,
+ behavior: RpcMethodHandler,
request_streaming: bool,
response_streaming: bool,
):
@@ -99,60 +69,111 @@ def _metrics_wrapper(
"""
grpc_service_name, grpc_method_name, _ = method_call
- async def _new_handler(request_or_iterator, servicer_context: ServicerContext):
- response_or_iterator = None
+ async def new_behavior(
+ request: pb.ModelMetadataRequest, servicer_context: ServicerContext
+ ) -> Optional[pb.ModelMetadataRequest]:
+ response = None
try:
start = default_timer()
grpc_type = grpc_utils.get_method_type(
request_streaming, response_streaming
)
+
try:
- if request_streaming:
- request_or_iterator = grpc_utils.wrap_iterator_inc_counter(
- request_or_iterator,
- self._interceptor._metrics[
- "grpc_server_stream_msg_received"
- ],
- grpc_type,
- grpc_service_name,
- grpc_method_name,
+ self._interceptor._metrics["grpc_server_started_counter"].labels(
+ grpc_type=grpc_type,
+ grpc_service=grpc_service_name,
+ grpc_method=grpc_method_name,
+ ).inc()
+
+ # Invoke the original rpc behavior.
+ # NOTE: This is the main change required with respect to
+ # the original implementation in `py-grpc-prometheus`.
+ response = await behavior(request, servicer_context)
+ self._interceptor.increase_grpc_server_handled_total_counter(
+ grpc_type,
+ grpc_service_name,
+ grpc_method_name,
+ self._compute_status_code(servicer_context).name,
+ )
+ return response
+
+ except RpcError as e:
+ self._interceptor.increase_grpc_server_handled_total_counter(
+ grpc_type,
+ grpc_service_name,
+ grpc_method_name,
+ self._interceptor._compute_error_code(e).name,
+ )
+ raise e
+
+ finally:
+ if self._interceptor._legacy:
+ self._interceptor._metrics[
+ "legacy_grpc_server_handled_latency_seconds"
+ ].labels(
+ grpc_type=grpc_type,
+ grpc_service=grpc_service_name,
+ grpc_method=grpc_method_name,
+ ).observe(
+ max(default_timer() - start, 0)
)
- else:
+ elif self._interceptor._enable_handling_time_histogram:
self._interceptor._metrics[
- "grpc_server_started_counter"
+ "grpc_server_handled_histogram"
].labels(
grpc_type=grpc_type,
grpc_service=grpc_service_name,
grpc_method=grpc_method_name,
- ).inc()
+ ).observe(
+ max(default_timer() - start, 0)
+ )
+ except Exception as e: # pylint: disable=broad-except
+ # Allow user to skip the exceptions in order to maintain
+ # the basic functionality in the server
+ # The logging function in exception can be toggled with log_exceptions
+ # in order to suppress the noise in logging
+ if self._interceptor._skip_exceptions:
+ if self._interceptor._log_exceptions:
+ logger.error(e)
- # Invoke the original rpc behavior.
- # NOTE: This is the main change required with respect to
- # the original implementation in `py-grpc-prometheus`.
- response_or_iterator = await old_handler(
- request_or_iterator, servicer_context
+ if response is None:
+ return response
+
+ return await behavior(request, servicer_context)
+ raise e
+
+ async def new_behavior_stream(
+ request_async_iterator: AsyncIterator[pb.ModelInferRequest],
+ servicer_context: ServicerContext,
+ ) -> AsyncIterator[pb.ModelInferRequest]:
+ response_async_iterator = None
+ try:
+ grpc_type = grpc_utils.get_method_type(
+ request_streaming, response_streaming
+ )
+ try:
+ request_async_iterator = wrap_async_iterator_inc_counter(
+ request_async_iterator,
+ self._interceptor._metrics["grpc_server_stream_msg_received"],
+ grpc_type,
+ grpc_service_name,
+ grpc_method_name,
)
- if response_streaming:
- sent_metric = self._interceptor._metrics[
- "grpc_server_stream_msg_sent"
- ]
- response_or_iterator = grpc_utils.wrap_iterator_inc_counter(
- response_or_iterator,
- sent_metric,
- grpc_type,
- grpc_service_name,
- grpc_method_name,
- )
+ # wrap the original behavior with the metrics
+ response_async_iterator = wrap_async_iterator_inc_counter(
+ behavior(request_async_iterator, servicer_context),
+ self._interceptor._metrics["grpc_server_stream_msg_sent"],
+ grpc_type,
+ grpc_service_name,
+ grpc_method_name,
+ )
+
+ # invoke the original rpc behavior
+ async for item in response_async_iterator:
+ yield item
- else:
- self._interceptor.increase_grpc_server_handled_total_counter(
- grpc_type,
- grpc_service_name,
- grpc_method_name,
- self._compute_status_code(servicer_context).name,
- )
- return response_or_iterator
except RpcError as e:
self._interceptor.increase_grpc_server_handled_total_counter(
grpc_type,
@@ -162,28 +183,6 @@ async def _new_handler(request_or_iterator, servicer_context: ServicerContext):
)
raise e
- finally:
- if not response_streaming:
- if self._interceptor._legacy:
- self._interceptor._metrics[
- "legacy_grpc_server_handled_latency_seconds"
- ].labels(
- grpc_type=grpc_type,
- grpc_service=grpc_service_name,
- grpc_method=grpc_method_name,
- ).observe(
- max(default_timer() - start, 0)
- )
- elif self._interceptor._enable_handling_time_histogram:
- self._interceptor._metrics[
- "grpc_server_handled_histogram"
- ].labels(
- grpc_type=grpc_type,
- grpc_service=grpc_service_name,
- grpc_method=grpc_method_name,
- ).observe(
- max(default_timer() - start, 0)
- )
except Exception as e: # pylint: disable=broad-except
# Allow user to skip the exceptions in order to maintain
# the basic functionality in the server
@@ -192,9 +191,66 @@ async def _new_handler(request_or_iterator, servicer_context: ServicerContext):
if self._interceptor._skip_exceptions:
if self._interceptor._log_exceptions:
logger.error(e)
- if response_or_iterator is None:
- return response_or_iterator
- return old_handler(request_or_iterator, servicer_context)
+
+ if response_async_iterator is not None:
+ async for item in behavior(
+ request_async_iterator, servicer_context
+ ):
+ yield item
raise e
- return _new_handler
+ if request_streaming and response_streaming:
+ return new_behavior_stream
+
+ return new_behavior
+
+ def _compute_status_code(self, servicer_context: ServicerContext) -> StatusCode:
+ """
+ This method is mostly copied from `py-grpc-prometheus`, with a couple
+ minor changes to avoid using private APIs from ServicerContext which
+ don't exist anymore in `grpc.aio`.
+ To see the original implementation, please check:
+
+ https://github.com/lchenn/py-grpc-prometheus/blob/eb9dee1f0a4e57cef220193ee48021dc9a9f3d82/py_grpc_prometheus/prometheus_server_interceptor.py#L127-L134
+ """
+ # Backwards compatibility for non-aio.
+ # TODO: It's not clear yet how to check whether the context has been
+ # cancelled with aio.
+ if hasattr(servicer_context, "_state"):
+ if servicer_context._state.client == "cancelled":
+ return StatusCode.CANCELLED
+
+ if not hasattr(servicer_context, "code"):
+ return StatusCode.OK
+
+ code = servicer_context.code()
+ if code is None:
+ return StatusCode.OK
+
+ # NOTE: With gRPC AIO, the `code` can be a plain integer that needs to
+ # be converted to an actual `StatusCode` entry
+ if isinstance(code, int):
+ if code not in self._status_codes:
+ return StatusCode.UNKNOWN
+
+ return self._status_codes[code]
+
+ return code
+
+
+async def wrap_async_iterator_inc_counter(
+ iterator: AsyncIterator[pb.ModelInferRequest],
+ counter: Counter,
+ grpc_type: str,
+ grpc_service_name: str,
+ grpc_method_name: str,
+) -> AsyncIterator[pb.ModelInferRequest]:
+ """Wraps an async iterator and collect metrics."""
+
+ async for item in iterator:
+ counter.labels(
+ grpc_type=grpc_type,
+ grpc_service=grpc_service_name,
+ grpc_method=grpc_method_name,
+ ).inc()
+ yield item
diff --git a/mlserver/grpc/server.py b/mlserver/grpc/server.py
index cc5a84529..2d8fef3e0 100644
--- a/mlserver/grpc/server.py
+++ b/mlserver/grpc/server.py
@@ -38,14 +38,14 @@ def _create_server(self):
self._model_repository_handlers
)
- interceptors = []
+ self._interceptors = []
if self._settings.debug:
# If debug, enable access logs
- interceptors = [LoggingInterceptor()]
+ self._interceptors = [LoggingInterceptor()]
if self._settings.metrics_endpoint:
- interceptors.append(
+ self._interceptors.append(
PromServerInterceptor(enable_handling_time_histogram=True)
)
@@ -62,7 +62,7 @@ def _create_server(self):
)
)
- interceptors.append(
+ self._interceptors.append(
aio_server_interceptor(
tracer_provider=tracer_provider, filter_=excluded_urls
)
@@ -70,7 +70,7 @@ def _create_server(self):
self._server = aio.server(
ThreadPoolExecutor(max_workers=DefaultGrpcWorkers),
- interceptors=tuple(interceptors),
+ interceptors=tuple(self._interceptors),
options=self._get_options(),
)
diff --git a/mlserver/grpc/servicers.py b/mlserver/grpc/servicers.py
index 4e376d9e6..548fe5e70 100644
--- a/mlserver/grpc/servicers.py
+++ b/mlserver/grpc/servicers.py
@@ -10,10 +10,17 @@
RepositoryIndexRequestConverter,
RepositoryIndexResponseConverter,
)
-from .utils import to_headers, to_metadata, handle_mlserver_error
+from .utils import (
+ to_headers,
+ to_metadata,
+ handle_mlserver_error,
+ handle_mlserver_stream_error,
+)
from ..utils import insert_headers, extract_headers
from ..handlers import DataPlane, ModelRepositoryHandlers
+from ..types import InferenceResponse, InferenceRequest
+from typing import AsyncIterator
class InferenceServicer(GRPCInferenceServiceServicer):
@@ -63,29 +70,67 @@ async def ModelMetadata(
async def ModelInfer(
self, request: pb.ModelInferRequest, context: grpc.ServicerContext
) -> pb.ModelInferResponse:
- return_raw = False
- if request.raw_input_contents:
- # If the request contains raw input contents, then use the same for
- # the output
- return_raw = True
-
- payload = ModelInferRequestConverter.to_types(request)
-
- request_headers = to_headers(context)
- insert_headers(payload, request_headers)
-
+ use_raw = InferenceServicer._GetReturnRaw(request)
+ payload = self._InsertHeaders(request, context)
result = await self._data_plane.infer(
payload=payload, name=request.model_name, version=request.model_version
)
+ self._SetTrailingMetadata(result, context)
+ return ModelInferResponseConverter.from_types(result, use_raw=use_raw)
+
+ @handle_mlserver_stream_error
+ async def ModelStreamInfer(
+ self,
+ requests_stream: AsyncIterator[pb.ModelInferRequest],
+ context: grpc.ServicerContext,
+ ) -> AsyncIterator[pb.ModelInferResponse]:
+ async for request in requests_stream:
+ break
+
+ use_raw = InferenceServicer._GetReturnRaw(request)
+ payloads = self._PayloadsMetadataGenerator(request, requests_stream, context)
+
+ async for result in self._data_plane.infer_stream(
+ payloads=payloads, name=request.model_name, version=request.model_version
+ ):
+ response = ModelInferResponseConverter.from_types(result, use_raw=use_raw)
+ yield response
+
+ self._SetTrailingMetadata(result, context)
+
+ async def _PayloadsMetadataGenerator(
+ self,
+ request: pb.ModelInferRequest,
+ requests_stream: AsyncIterator[pb.ModelInferRequest],
+ context: grpc.ServicerContext,
+ ) -> AsyncIterator[InferenceRequest]:
+ payload = self._InsertHeaders(request, context)
+ yield payload
+
+ async for request in requests_stream:
+ payload = self._InsertHeaders(request, context)
+ yield payload
+
+ @staticmethod
+ def _GetReturnRaw(request: pb.ModelInferRequest) -> bool:
+ return True if request.raw_input_contents else False
+
+ def _InsertHeaders(
+ self, request: pb.ModelInferRequest, context: grpc.ServicerContext
+ ) -> InferenceRequest:
+ payload = ModelInferRequestConverter.to_types(request)
+ request_headers = to_headers(context)
+ insert_headers(payload, request_headers)
+ return payload
+ def _SetTrailingMetadata(
+ self, result: InferenceResponse, context: grpc.ServicerContext
+ ) -> None:
response_headers = extract_headers(result)
if response_headers:
response_metadata = to_metadata(response_headers)
context.set_trailing_metadata(response_metadata)
- response = ModelInferResponseConverter.from_types(result, use_raw=return_raw)
- return response
-
async def RepositoryIndex(
self, request: pb.RepositoryIndexRequest, context
) -> pb.RepositoryIndexResponse:
diff --git a/mlserver/grpc/utils.py b/mlserver/grpc/utils.py
index 31f7c39b5..1f58ea98e 100644
--- a/mlserver/grpc/utils.py
+++ b/mlserver/grpc/utils.py
@@ -50,3 +50,18 @@ async def _inner(self, request, context):
await context.abort(code=grpc.StatusCode.INTERNAL, details=str(err))
return _inner
+
+
+def handle_mlserver_stream_error(f: Callable):
+ async def _inner(self, request_stream, context):
+ try:
+ async for response in f(self, request_stream, context):
+ yield response
+ except MLServerError as err:
+ logger.exception(err)
+ await context.abort(code=_grpc_status_code(err), details=str(err))
+ except Exception as err:
+ logger.exception(err)
+ await context.abort(code=grpc.StatusCode.INTERNAL, details=str(err))
+
+ return _inner
diff --git a/mlserver/handlers/dataplane.py b/mlserver/handlers/dataplane.py
index 8b17e5b53..026920011 100644
--- a/mlserver/handlers/dataplane.py
+++ b/mlserver/handlers/dataplane.py
@@ -1,9 +1,11 @@
+from contextlib import asynccontextmanager
from prometheus_client import (
Counter,
Summary,
)
-from typing import Optional
+from typing import AsyncIterator, Optional
+from ..model import MLModel
from ..errors import ModelNotReady
from ..context import model_context
from ..settings import Settings
@@ -85,6 +87,95 @@ async def infer(
name: str,
version: Optional[str] = None,
) -> InferenceResponse:
+ # need to cache the payload here since it
+ # will be modified in the context manager
+ if self._response_cache is not None:
+ cache_key = payload.model_dump_json()
+
+ async with self._infer_contextmanager(name, version) as model:
+ payload = self._prepare_payload(payload, model)
+
+ if (
+ self._response_cache is not None
+ and model.settings.cache_enabled is not False
+ ):
+ cache_value = await self._response_cache.lookup(cache_key)
+ if cache_value != "":
+ prediction = InferenceResponse.model_validate_json(cache_value)
+ else:
+ prediction = await model.predict(payload)
+ # ignore cache insertion error if any
+ await self._response_cache.insert(
+ cache_key, prediction.model_dump_json()
+ )
+ else:
+ prediction = await model.predict(payload)
+
+ # Ensure ID matches
+ prediction.id = payload.id
+ self._inference_middleware.response_middleware(prediction, model.settings)
+ return prediction
+
+ async def infer_stream(
+ self,
+ payloads: AsyncIterator[InferenceRequest],
+ name: str,
+ version: Optional[str] = None,
+ ) -> AsyncIterator[InferenceResponse]:
+ # TODO: Implement cache for stream
+
+ async with self._infer_contextmanager(name, version) as model:
+ # we need to get the first payload to get the ID
+ async for payload in payloads:
+ break
+
+ payloads_decorated = self._prepare_payloads_generator(
+ payload, payloads, model
+ )
+ async for prediction in model.predict_stream(payloads_decorated):
+ prediction.id = payload.id # Ensure ID matches
+ self._inference_middleware.response_middleware(
+ prediction, model.settings
+ )
+ yield prediction
+
+ def _prepare_payload(
+ self, payload: InferenceRequest, model: MLModel
+ ) -> InferenceRequest:
+ if payload.id is None:
+ payload.id = generate_uuid()
+
+ self._inference_middleware.request_middleware(payload, model.settings)
+ return payload
+
+ async def _prepare_payloads_generator(
+ self,
+ first_payload: InferenceRequest,
+ subsequent_payloads: AsyncIterator[InferenceRequest],
+ model: MLModel,
+ ) -> AsyncIterator[InferenceRequest]:
+ # yield the first payload after preparing it
+ first_payload = self._prepare_payload(first_payload, model)
+ yield first_payload
+
+ # Yield the rest of the payloads after preparing them
+ # and set the ID to match the first payload. Note that
+ # we don't make any assumptions about how many inputs and
+ # outputs there are. Thus, everything gets the same ID, cause
+ # otherwise we could have one to many, many to one, or many to
+ # many id mappings.
+ async for payload in subsequent_payloads:
+ payload.id = first_payload.id
+ payload = self._prepare_payload(payload, model)
+ yield payload
+
+ @asynccontextmanager
+ async def _infer_contextmanager(
+ self,
+ name: str,
+ version: Optional[str] = None,
+ ) -> AsyncIterator[MLModel]:
+
infer_duration = self._ModelInferRequestDuration.labels(
model=name, version=version
).time()
@@ -92,44 +183,16 @@ async def infer(
model=name, version=version
).count_exceptions()
- if self._response_cache is not None:
- cache_key = payload.json()
-
with infer_duration, infer_errors:
- if payload.id is None:
- payload.id = generate_uuid()
-
model = await self._model_registry.get_model(name, version)
if not model.ready:
raise ModelNotReady(name, version)
- self._inference_middleware.request_middleware(payload, model.settings)
-
- # TODO: Make await optional for sync methods
with model_context(model.settings):
- if (
- self._response_cache is not None
- and model.settings.cache_enabled is not False
- ):
- cache_value = await self._response_cache.lookup(cache_key)
- if cache_value != "":
- prediction = InferenceResponse.parse_raw(cache_value)
- else:
- prediction = await model.predict(payload)
- # ignore cache insertion error if any
- await self._response_cache.insert(cache_key, prediction.json())
- else:
- prediction = await model.predict(payload)
-
- # Ensure ID matches
- prediction.id = payload.id
-
- self._inference_middleware.response_middleware(prediction, model.settings)
+ yield model
self._ModelInferRequestSuccess.labels(model=name, version=version).inc()
- return prediction
-
def _create_response_cache(self) -> ResponseCache:
return LocalCache(size=self._settings.cache_size)
diff --git a/mlserver/handlers/model_repository.py b/mlserver/handlers/model_repository.py
index be0b2d841..e17ae9ca1 100644
--- a/mlserver/handlers/model_repository.py
+++ b/mlserver/handlers/model_repository.py
@@ -31,7 +31,7 @@ async def index(self, payload: RepositoryIndexRequest) -> RepositoryIndexRespons
else:
repository_items.append(index_item)
- return RepositoryIndexResponse(__root__=repository_items)
+ return RepositoryIndexResponse(root=repository_items)
async def _to_item(
self, model_settings: ModelSettings
diff --git a/mlserver/kafka/message.py b/mlserver/kafka/message.py
index 45c50e4a0..c8383a116 100644
--- a/mlserver/kafka/message.py
+++ b/mlserver/kafka/message.py
@@ -1,28 +1,7 @@
-import json
-
-from typing import Dict, Optional, List, Tuple, Union
+from typing import Dict, Optional, List, Tuple
from pydantic import BaseModel
-
-try:
- import orjson
-except ImportError:
- orjson = None # type: ignore
-
-
-def _encode_value(v: dict) -> bytes:
- if orjson is None:
- dumped = json.dumps(v)
- return dumped.encode("utf-8")
-
- return orjson.dumps(v)
-
-
-def _decode_value(v: Union[bytes, str]) -> dict:
- if orjson is None:
- return json.loads(v)
-
- return orjson.loads(v)
+from ..codecs.json import encode_to_json_bytes, decode_from_bytelike_json_to_dict
def _encode_headers(h: Dict[str, str]) -> List[Tuple[str, bytes]]:
@@ -42,13 +21,13 @@ class KafkaMessage(BaseModel):
def from_types(
cls, key: Optional[str], value: BaseModel, headers: Dict[str, str]
) -> "KafkaMessage":
- as_dict = value.dict()
+ as_dict = value.model_dump()
return KafkaMessage(key=key, value=as_dict, headers=headers)
@classmethod
def from_kafka_record(cls, kafka_record) -> "KafkaMessage":
key = kafka_record.key
- value = _decode_value(kafka_record.value)
+ value = decode_from_bytelike_json_to_dict(kafka_record.value)
headers = _decode_headers(kafka_record.headers)
return KafkaMessage(key=key, value=value, headers=headers)
@@ -61,7 +40,7 @@ def encoded_key(self) -> bytes:
@property
def encoded_value(self) -> bytes:
- return _encode_value(self.value)
+ return encode_to_json_bytes(self.value)
@property
def encoded_headers(self) -> List[Tuple[str, bytes]]:
diff --git a/mlserver/metrics/server.py b/mlserver/metrics/server.py
index d87ad54e0..348db7d21 100644
--- a/mlserver/metrics/server.py
+++ b/mlserver/metrics/server.py
@@ -1,5 +1,6 @@
import uvicorn
import os
+import signal
from typing import Optional, TYPE_CHECKING
@@ -72,5 +73,10 @@ def _get_config(self):
return uvicorn.Config(self._app, **kwargs)
async def stop(self, sig: Optional[int] = None):
+ if sig is None:
+ # `sig` is no longer optional for `handle_exit` in
+ # latest `uvicorn`
+ sig = signal.SIGINT
+
await stop_metrics(self._settings, os.getpid())
self._server.handle_exit(sig=sig, frame=None)
diff --git a/mlserver/model.py b/mlserver/model.py
index 77a2521a4..8296bc19e 100644
--- a/mlserver/model.py
+++ b/mlserver/model.py
@@ -1,4 +1,4 @@
-from typing import Any, Dict, Optional, List
+from typing import Any, Dict, Optional, List, AsyncIterator
from .codecs import (
encode_response_output,
@@ -64,7 +64,7 @@ async def load(self) -> bool:
Its return value will represent the model's readiness status.
A return value of ``True`` will mean the model is ready.
- **This method should be overriden to implement your custom load
+ **This method can be overriden to implement your custom load
logic.**
"""
return True
@@ -74,11 +74,24 @@ async def predict(self, payload: InferenceRequest) -> InferenceResponse:
Method responsible for running inference on the model.
- **This method should be overriden to implement your custom inference
+ **This method can be overriden to implement your custom inference
logic.**
"""
raise NotImplementedError("predict() method not implemented")
+ async def predict_stream(
+ self, payloads: AsyncIterator[InferenceRequest]
+ ) -> AsyncIterator[InferenceResponse]:
+ """
+ Method responsible for running generation on the model, streaming a set
+ of responses back to the client.
+
+
+ **This method can be overriden to implement your custom inference
+ logic.**
+ """
+ yield await self.predict((await payloads.__anext__()))
+
async def unload(self) -> bool:
"""
Method responsible for unloading the model, freeing any resources (e.g.
@@ -88,7 +101,7 @@ async def unload(self) -> bool:
enabled).
A return value of ``True`` will mean the model is now unloaded.
- **This method should be overriden to implement your custom unload
+ **This method can be overriden to implement your custom unload
logic.**
"""
return True
diff --git a/mlserver/parallel/messages.py b/mlserver/parallel/messages.py
index adae776c7..94af83efb 100644
--- a/mlserver/parallel/messages.py
+++ b/mlserver/parallel/messages.py
@@ -2,7 +2,7 @@
from asyncio import CancelledError
from enum import IntEnum
-from pydantic import BaseModel, Field
+from pydantic import BaseModel, Field, ConfigDict
from typing import Any, Dict, List, Optional, Union
from ..utils import generate_uuid
@@ -15,6 +15,10 @@ class ModelUpdateType(IntEnum):
class Message(BaseModel):
+ model_config = ConfigDict(
+ protected_namespaces=(),
+ )
+
id: str = Field(default_factory=generate_uuid)
@@ -27,12 +31,12 @@ class ModelRequestMessage(Message):
class ModelResponseMessage(Message):
- class Config:
- # This is to allow having an Exception field
- arbitrary_types_allowed = True
+ model_config = ConfigDict(
+ arbitrary_types_allowed=True,
+ )
- return_value: Optional[Any]
- exception: Optional[Union[Exception, CancelledError]]
+ return_value: Optional[Any] = None
+ exception: Optional[Union[Exception, CancelledError]] = None
class ModelUpdateMessage(Message):
@@ -42,7 +46,7 @@ class ModelUpdateMessage(Message):
def __init__(self, *args, **kwargs):
model_settings = kwargs.pop("model_settings", None)
if model_settings:
- as_dict = model_settings.dict()
+ as_dict = model_settings.model_dump(by_alias=True)
# Ensure the private `_source` attr also gets serialised
if model_settings._source:
as_dict["_source"] = model_settings._source
diff --git a/mlserver/parallel/pool.py b/mlserver/parallel/pool.py
index b2491ae96..745389413 100644
--- a/mlserver/parallel/pool.py
+++ b/mlserver/parallel/pool.py
@@ -1,5 +1,6 @@
import asyncio
+from contextlib import nullcontext
from multiprocessing import Queue
from typing import Awaitable, Callable, Dict, Optional, List, Iterable
@@ -24,6 +25,18 @@
InferencePoolHook = Callable[[Worker], Awaitable[None]]
+def _spawn_worker(
+ settings: Settings,
+ responses: Queue,
+ env: Optional[Environment],
+) -> Worker:
+ with env or nullcontext():
+ worker = Worker(settings, responses, env)
+ worker.start()
+
+ return worker
+
+
class WorkerRegistry:
"""
Simple registry to keep track of which models have been loaded.
@@ -78,9 +91,8 @@ def __init__(
self._worker_registry = WorkerRegistry()
self._settings = settings
self._responses: Queue[ModelResponseMessage] = Queue()
- for idx in range(self._settings.parallel_workers):
- worker = Worker(self._settings, self._responses, self._env)
- worker.start()
+ for _ in range(self._settings.parallel_workers):
+ worker = _spawn_worker(self._settings, self._responses, self._env)
self._workers[worker.pid] = worker # type: ignore
self._dispatcher = Dispatcher(self._workers, self._responses)
@@ -123,8 +135,7 @@ async def on_worker_stop(self, pid: int, exit_code: int):
await self._start_worker()
async def _start_worker(self) -> Worker:
- worker = Worker(self._settings, self._responses, self._env)
- worker.start()
+ worker = _spawn_worker(self._settings, self._responses, self._env)
logger.info(f"Starting new worker with PID {worker.pid} on {self.name}...")
# Add to dispatcher so that it can receive load requests and reload all
diff --git a/mlserver/parallel/registry.py b/mlserver/parallel/registry.py
index b0094e2a6..45fd8fb15 100644
--- a/mlserver/parallel/registry.py
+++ b/mlserver/parallel/registry.py
@@ -1,6 +1,5 @@
import asyncio
import os
-import shutil
import signal
from typing import Optional, Dict, List
@@ -9,7 +8,7 @@
from ..utils import to_absolute_path
from ..model import MLModel
from ..settings import Settings
-from ..env import Environment, compute_hash
+from ..env import Environment, compute_hash_of_file, compute_hash_of_string
from ..registry import model_initialiser
from .errors import EnvironmentNotFound
@@ -72,15 +71,56 @@ async def _handle_worker_stop(self, signum, frame):
await self._default_pool.on_worker_stop(pid, exit_code)
await asyncio.gather(
- *[pool.on_worker_stop(pid) for pool in self._pools.values()]
+ *[pool.on_worker_stop(pid, exit_code) for pool in self._pools.values()]
)
async def _get_or_create(self, model: MLModel) -> InferencePool:
+ if (
+ model.settings.parameters is not None
+ and model.settings.parameters.environment_path
+ ):
+ pool = await self._get_or_create_with_existing_env(
+ model.settings.parameters.environment_path
+ )
+ else:
+ pool = await self._get_or_create_with_tarball(model)
+ return pool
+
+ async def _get_or_create_with_existing_env(
+ self, environment_path: str
+ ) -> InferencePool:
+ """
+ Creates or returns the InferencePool for a model that uses an existing
+ python environment.
+ """
+ expanded_environment_path = os.path.abspath(
+ os.path.expanduser(os.path.expandvars(environment_path))
+ )
+ logger.info(f"Using environment {expanded_environment_path}")
+ env_hash = await compute_hash_of_string(expanded_environment_path)
+ if env_hash in self._pools:
+ return self._pools[env_hash]
+ env = Environment(
+ env_path=expanded_environment_path,
+ env_hash=env_hash,
+ delete_env=False,
+ )
+ pool = InferencePool(
+ self._settings, env=env, on_worker_stop=self._on_worker_stop
+ )
+ self._pools[env_hash] = pool
+ return pool
+
+ async def _get_or_create_with_tarball(self, model: MLModel) -> InferencePool:
+ """
+ Creates or returns the InferencePool for a model that uses a
+ tarball as python environment.
+ """
env_tarball = _get_env_tarball(model)
if not env_tarball:
return self._default_pool
- env_hash = await compute_hash(env_tarball)
+ env_hash = await compute_hash_of_file(env_tarball)
if env_hash in self._pools:
return self._pools[env_hash]
@@ -223,5 +263,3 @@ async def _close_pool(self, env_hash: Optional[str] = None):
if env_hash:
del self._pools[env_hash]
- env_path = self._get_env_path(env_hash)
- shutil.rmtree(env_path)
diff --git a/mlserver/raw.py b/mlserver/raw.py
index 697b3056e..48ed4f47e 100644
--- a/mlserver/raw.py
+++ b/mlserver/raw.py
@@ -3,7 +3,7 @@
from functools import reduce
from operator import mul
from typing import List, Tuple
-from .types import Datatype
+from .types import Datatype, TensorData
from .codecs.string import encode_str
from .codecs.utils import InputOrOutput
@@ -112,7 +112,7 @@ def inject_raw(
# This is to allow for mixed reqs / resp, where some entries have
# data, some entries are raw
raw = raw_contents[raw_idx]
- elem.data = unpack(elem, raw) # type: ignore
+ elem.data = TensorData(unpack(elem, raw)) # type: ignore
raw_idx += 1
return elems
diff --git a/mlserver/repository/factory.py b/mlserver/repository/factory.py
index d2da0744b..863dd94f5 100644
--- a/mlserver/repository/factory.py
+++ b/mlserver/repository/factory.py
@@ -1,12 +1,12 @@
from .repository import ModelRepository, SchemalessModelRepository
from ..settings import Settings
-from pydantic import PyObject
+from pydantic import ImportString
class ModelRepositoryFactory:
@staticmethod
def resolve_model_repository(settings: Settings) -> ModelRepository:
- model_repository_implementation: PyObject = SchemalessModelRepository
+ model_repository_implementation: ImportString = SchemalessModelRepository
result: ModelRepository
if settings.model_repository_implementation:
diff --git a/mlserver/repository/repository.py b/mlserver/repository/repository.py
index 0e323af43..17f7fe19c 100644
--- a/mlserver/repository/repository.py
+++ b/mlserver/repository/repository.py
@@ -2,7 +2,7 @@
import os
import glob
-from pydantic.error_wrappers import ValidationError
+from pydantic import ValidationError
from typing import List
from ..settings import ModelParameters, ModelSettings
diff --git a/mlserver/rest/app.py b/mlserver/rest/app.py
index e834d4780..35557f43c 100644
--- a/mlserver/rest/app.py
+++ b/mlserver/rest/app.py
@@ -78,6 +78,39 @@ def create_app(
endpoints.infer,
methods=["POST"],
),
+ # Model generate
+ APIRoute(
+ "/v2/models/{model_name}/generate",
+ endpoints.infer,
+ methods=["POST"],
+ ),
+ APIRoute(
+ "/v2/models/{model_name}/versions/{model_version}/generate",
+ endpoints.infer,
+ methods=["POST"],
+ ),
+ # Model infer_stream
+ APIRoute(
+ "/v2/models/{model_name}/infer_stream",
+ endpoints.infer_stream,
+ methods=["POST"],
+ ),
+ APIRoute(
+ "/v2/models/{model_name}/versions/{model_version}/infer_stream",
+ endpoints.infer_stream,
+ methods=["POST"],
+ ),
+ # Model generate_stream
+ APIRoute(
+ "/v2/models/{model_name}/generate_stream",
+ endpoints.infer_stream,
+ methods=["POST"],
+ ),
+ APIRoute(
+ "/v2/models/{model_name}/versions/{model_version}/generate_stream",
+ endpoints.infer_stream,
+ methods=["POST"],
+ ),
# Model metadata
APIRoute(
"/v2/models/{model_name}",
@@ -167,7 +200,12 @@ def create_app(
)
app.router.route_class = APIRoute
- app.add_middleware(GZipMiddleware)
+
+ if settings.gzip_enabled:
+ # GZip middleware does not work with streaming
+ # see here: https://github.com/encode/starlette/issues/20#issuecomment-704106436
+ app.add_middleware(GZipMiddleware)
+
if settings.cors_settings is not None:
app.add_middleware(
CORSMiddleware,
diff --git a/mlserver/rest/endpoints.py b/mlserver/rest/endpoints.py
index d6ed9bfcf..d0951c59d 100644
--- a/mlserver/rest/endpoints.py
+++ b/mlserver/rest/endpoints.py
@@ -1,8 +1,8 @@
from fastapi.requests import Request
-from fastapi.responses import Response, HTMLResponse
+from fastapi.responses import Response, HTMLResponse, StreamingResponse
from fastapi.openapi.docs import get_swagger_ui_html
-from typing import Optional
+from typing import AsyncIterator, Optional
from ..types import (
MetadataModelResponse,
@@ -15,6 +15,7 @@
from ..handlers import DataPlane, ModelRepositoryHandlers
from ..utils import insert_headers, extract_headers
+from .responses import ServerSentEvent
from .openapi import get_openapi_schema, get_model_schema_uri, get_model_schema
from .utils import to_status_code
@@ -93,19 +94,57 @@ async def infer(
model_name: str,
model_version: Optional[str] = None,
) -> InferenceResponse:
+
request_headers = dict(raw_request.headers)
insert_headers(payload, request_headers)
inference_response = await self._data_plane.infer(
payload, model_name, model_version
)
-
response_headers = extract_headers(inference_response)
+
if response_headers:
raw_response.headers.update(response_headers)
return inference_response
+ async def infer_stream(
+ self,
+ raw_request: Request,
+ payload: InferenceRequest,
+ model_name: str,
+ model_version: Optional[str] = None,
+ ) -> StreamingResponse:
+
+ request_headers = dict(raw_request.headers)
+ insert_headers(payload, request_headers)
+
+ async def payloads_generator(
+ payload: InferenceRequest,
+ ) -> AsyncIterator[InferenceRequest]:
+ yield payload
+
+ payloads = payloads_generator(payload)
+ infer_stream = self._data_plane.infer_stream(
+ payloads, model_name, model_version
+ )
+
+ sse_stream = _as_sse(infer_stream)
+ return StreamingResponse(content=sse_stream, media_type="text/event-stream")
+
+
+async def _as_sse(
+ infer_stream: AsyncIterator[InferenceResponse],
+) -> AsyncIterator[bytes]:
+ """
+ Helper to convert all the responses coming out of a generator to a
+ Server-Sent Event object.
+ """
+ async for inference_response in infer_stream:
+ # TODO: How should we send headers back?
+ # response_headers = extract_headers(inference_response)
+ yield ServerSentEvent(inference_response).encode()
+
class ModelRepositoryEndpoints:
def __init__(self, handlers: ModelRepositoryHandlers):
diff --git a/mlserver/rest/errors.py b/mlserver/rest/errors.py
index 438ede72d..8d699a91b 100644
--- a/mlserver/rest/errors.py
+++ b/mlserver/rest/errors.py
@@ -12,7 +12,7 @@ class APIErrorResponse(BaseModel):
async def handle_mlserver_error(request: Request, exc: MLServerError) -> Response:
err_res = APIErrorResponse(error=str(exc))
- return Response(status_code=exc.status_code, content=err_res.dict())
+ return Response(status_code=exc.status_code, content=err_res.model_dump())
_EXCEPTION_HANDLERS = {MLServerError: handle_mlserver_error}
diff --git a/mlserver/rest/openapi/dataplane.json b/mlserver/rest/openapi/dataplane.json
index 2f02f0938..268e36ff4 100644
--- a/mlserver/rest/openapi/dataplane.json
+++ b/mlserver/rest/openapi/dataplane.json
@@ -385,9 +385,485 @@
"model"
]
}
+ },
+ "/v2/models/{model_name}/versions/{model_version}/infer_stream": {
+ "parameters": [
+ {
+ "schema": {
+ "type": "string"
+ },
+ "name": "model_name",
+ "in": "path",
+ "required": true
+ },
+ {
+ "schema": {
+ "type": "string"
+ },
+ "name": "model_version",
+ "in": "path",
+ "required": true
+ }
+ ],
+ "post": {
+ "summary": "Model Inference Stream",
+ "operationId": "model-version-inference-stream",
+ "responses": {
+ "200": {
+ "description": "OK",
+ "content": {
+ "application/json": {
+ "schema": {
+ "$ref": "#/components/schemas/InferenceResponse"
+ }
+ }
+ }
+ },
+ "400": {
+ "description": "Bad Request",
+ "content": {
+ "application/json": {
+ "schema": {
+ "$ref": "#/components/schemas/InferenceErrorResponse"
+ }
+ }
+ }
+ },
+ "404": {
+ "description": "Not Found",
+ "content": {
+ "application/json": {
+ "schema": {
+ "$ref": "#/components/schemas/InferenceErrorResponse"
+ }
+ }
+ }
+ },
+ "500": {
+ "description": "Internal Server Error",
+ "content": {
+ "application/json": {
+ "schema": {
+ "$ref": "#/components/schemas/InferenceErrorResponse"
+ }
+ }
+ }
+ }
+ },
+ "requestBody": {
+ "content": {
+ "application/json": {
+ "schema": {
+ "$ref": "#/components/schemas/InferenceRequest"
+ }
+ }
+ }
+ },
+ "description": "An inference request is made with an HTTP POST to an inference endpoint. The model name and (optionally) version must be available in the URL. If a version is not provided the server may choose a version based on its own policies or return an error.",
+ "tags": [
+ "inference",
+ "model"
+ ]
+ }
+ },
+ "/v2/models/{model_name}/infer_stream": {
+ "parameters": [
+ {
+ "schema": {
+ "type": "string"
+ },
+ "name": "model_name",
+ "in": "path",
+ "required": true
+ }
+ ],
+ "post": {
+ "summary": "Model Inference Stream",
+ "operationId": "model-inference-stream",
+ "responses": {
+ "200": {
+ "description": "OK",
+ "content": {
+ "application/json": {
+ "schema": {
+ "$ref": "#/components/schemas/InferenceResponse"
+ }
+ }
+ }
+ },
+ "400": {
+ "description": "Bad Request",
+ "content": {
+ "application/json": {
+ "schema": {
+ "$ref": "#/components/schemas/InferenceErrorResponse"
+ }
+ }
+ }
+ },
+ "404": {
+ "description": "Not Found",
+ "content": {
+ "application/json": {
+ "schema": {
+ "$ref": "#/components/schemas/InferenceErrorResponse"
+ }
+ }
+ }
+ },
+ "500": {
+ "description": "Internal Server Error",
+ "content": {
+ "application/json": {
+ "schema": {
+ "$ref": "#/components/schemas/InferenceErrorResponse"
+ }
+ }
+ }
+ }
+ },
+ "requestBody": {
+ "content": {
+ "application/json": {
+ "schema": {
+ "$ref": "#/components/schemas/InferenceRequest"
+ }
+ }
+ }
+ },
+ "description": "An inference request is made with an HTTP POST to an inference endpoint. The model name and (optionally) version must be available in the URL. If a version is not provided the server may choose a version based on its own policies or return an error.",
+ "tags": [
+ "inference",
+ "model"
+ ]
+ }
+ },
+ "/v2/models/{model_name}/versions/{model_version}/generate": {
+ "parameters": [
+ {
+ "schema": {
+ "type": "string"
+ },
+ "name": "model_name",
+ "in": "path",
+ "required": true
+ },
+ {
+ "schema": {
+ "type": "string"
+ },
+ "name": "model_version",
+ "in": "path",
+ "required": true
+ }
+ ],
+ "post": {
+ "summary": "Model Generate",
+ "operationId": "model-version-generate",
+ "responses": {
+ "200": {
+ "description": "OK",
+ "content": {
+ "application/json": {
+ "schema": {
+ "$ref": "#/components/schemas/InferenceResponse"
+ }
+ }
+ }
+ },
+ "400": {
+ "description": "Bad Request",
+ "content": {
+ "application/json": {
+ "schema": {
+ "$ref": "#/components/schemas/InferenceErrorResponse"
+ }
+ }
+ }
+ },
+ "404": {
+ "description": "Not Found",
+ "content": {
+ "application/json": {
+ "schema": {
+ "$ref": "#/components/schemas/InferenceErrorResponse"
+ }
+ }
+ }
+ },
+ "500": {
+ "description": "Internal Server Error",
+ "content": {
+ "application/json": {
+ "schema": {
+ "$ref": "#/components/schemas/InferenceErrorResponse"
+ }
+ }
+ }
+ }
+ },
+ "requestBody": {
+ "content": {
+ "application/json": {
+ "schema": {
+ "$ref": "#/components/schemas/InferenceRequest"
+ }
+ }
+ }
+ },
+ "description": "An inference request is made with an HTTP POST to an inference endpoint. The model name and (optionally) version must be available in the URL. If a version is not provided the server may choose a version based on its own policies or return an error.",
+ "tags": [
+ "inference",
+ "model"
+ ]
+ }
+ },
+ "/v2/models/{model_name}/generate": {
+ "parameters": [
+ {
+ "schema": {
+ "type": "string"
+ },
+ "name": "model_name",
+ "in": "path",
+ "required": true
+ }
+ ],
+ "post": {
+ "summary": "Model Generate",
+ "operationId": "model-generate",
+ "responses": {
+ "200": {
+ "description": "OK",
+ "content": {
+ "application/json": {
+ "schema": {
+ "$ref": "#/components/schemas/InferenceResponse"
+ }
+ }
+ }
+ },
+ "400": {
+ "description": "Bad Request",
+ "content": {
+ "application/json": {
+ "schema": {
+ "$ref": "#/components/schemas/InferenceErrorResponse"
+ }
+ }
+ }
+ },
+ "404": {
+ "description": "Not Found",
+ "content": {
+ "application/json": {
+ "schema": {
+ "$ref": "#/components/schemas/InferenceErrorResponse"
+ }
+ }
+ }
+ },
+ "500": {
+ "description": "Internal Server Error",
+ "content": {
+ "application/json": {
+ "schema": {
+ "$ref": "#/components/schemas/InferenceErrorResponse"
+ }
+ }
+ }
+ }
+ },
+ "requestBody": {
+ "content": {
+ "application/json": {
+ "schema": {
+ "$ref": "#/components/schemas/InferenceRequest"
+ }
+ }
+ }
+ },
+ "description": "An inference request is made with an HTTP POST to an inference endpoint. The model name and (optionally) version must be available in the URL. If a version is not provided the server may choose a version based on its own policies or return an error.",
+ "tags": [
+ "inference",
+ "model"
+ ]
+ }
+ },
+ "/v2/models/{model_name}/versions/{model_version}/generate_stream": {
+ "parameters": [
+ {
+ "schema": {
+ "type": "string"
+ },
+ "name": "model_name",
+ "in": "path",
+ "required": true
+ },
+ {
+ "schema": {
+ "type": "string"
+ },
+ "name": "model_version",
+ "in": "path",
+ "required": true
+ }
+ ],
+ "post": {
+ "summary": "Model Generate Stream",
+ "operationId": "model-version-generate-stream",
+ "responses": {
+ "200": {
+ "description": "OK",
+ "content": {
+ "application/json": {
+ "schema": {
+ "$ref": "#/components/schemas/InferenceResponse"
+ }
+ }
+ }
+ },
+ "400": {
+ "description": "Bad Request",
+ "content": {
+ "application/json": {
+ "schema": {
+ "$ref": "#/components/schemas/InferenceErrorResponse"
+ }
+ }
+ }
+ },
+ "404": {
+ "description": "Not Found",
+ "content": {
+ "application/json": {
+ "schema": {
+ "$ref": "#/components/schemas/InferenceErrorResponse"
+ }
+ }
+ }
+ },
+ "500": {
+ "description": "Internal Server Error",
+ "content": {
+ "application/json": {
+ "schema": {
+ "$ref": "#/components/schemas/InferenceErrorResponse"
+ }
+ }
+ }
+ }
+ },
+ "requestBody": {
+ "content": {
+ "application/json": {
+ "schema": {
+ "$ref": "#/components/schemas/InferenceRequest"
+ }
+ }
+ }
+ },
+ "description": "An inference request is made with an HTTP POST to an inference endpoint. The model name and (optionally) version must be available in the URL. If a version is not provided the server may choose a version based on its own policies or return an error.",
+ "tags": [
+ "inference",
+ "model"
+ ]
+ }
+ },
+ "/v2/models/{model_name}/generate_stream": {
+ "parameters": [
+ {
+ "schema": {
+ "type": "string"
+ },
+ "name": "model_name",
+ "in": "path",
+ "required": true
+ }
+ ],
+ "post": {
+ "summary": "Model Generate Stream",
+ "operationId": "model-generate-stream",
+ "responses": {
+ "200": {
+ "description": "OK",
+ "content": {
+ "application/json": {
+ "schema": {
+ "$ref": "#/components/schemas/InferenceResponse"
+ }
+ }
+ }
+ },
+ "400": {
+ "description": "Bad Request",
+ "content": {
+ "application/json": {
+ "schema": {
+ "$ref": "#/components/schemas/InferenceErrorResponse"
+ }
+ }
+ }
+ },
+ "404": {
+ "description": "Not Found",
+ "content": {
+ "application/json": {
+ "schema": {
+ "$ref": "#/components/schemas/InferenceErrorResponse"
+ }
+ }
+ }
+ },
+ "500": {
+ "description": "Internal Server Error",
+ "content": {
+ "application/json": {
+ "schema": {
+ "$ref": "#/components/schemas/InferenceErrorResponse"
+ }
+ }
+ }
+ }
+ },
+ "requestBody": {
+ "content": {
+ "application/json": {
+ "schema": {
+ "$ref": "#/components/schemas/InferenceRequest"
+ }
+ }
+ }
+ },
+ "description": "An inference request is made with an HTTP POST to an inference endpoint. The model name and (optionally) version must be available in the URL. If a version is not provided the server may choose a version based on its own policies or return an error.",
+ "tags": [
+ "inference",
+ "model"
+ ]
+ }
}
},
"components": {
+ "enums": {
+ "Datatype": {
+ "type": "string",
+ "enum": [
+ "BOOL",
+ "UINT8",
+ "UINT16",
+ "UINT32",
+ "UINT64",
+ "INT8",
+ "INT16",
+ "INT32",
+ "INT64",
+ "FP16",
+ "FP32",
+ "FP64",
+ "BYTES"
+ ]
+ }
+ },
"schemas": {
"MetadataServerResponse": {
"title": "MetadataServerResponse",
@@ -471,7 +947,7 @@
"type": "string"
},
"datatype": {
- "type": "string"
+ "$ref": "#/components/enums/Datatype"
},
"shape": {
"type": "array",
@@ -613,7 +1089,7 @@
}
},
"datatype": {
- "type": "string"
+ "$ref": "#/components/enums/Datatype"
},
"parameters": {
"$ref": "#/components/schemas/Parameters"
@@ -630,7 +1106,15 @@
]
},
"TensorData": {
- "title": "TensorData"
+ "title": "TensorData",
+ "oneOf": [
+ {
+ "type": "array"
+ },
+ {
+ "type": "bytes"
+ }
+ ]
},
"RequestOutput": {
"title": "RequestOutput",
@@ -661,7 +1145,7 @@
}
},
"datatype": {
- "type": "string"
+ "$ref": "#/components/enums/Datatype"
},
"parameters": {
"$ref": "#/components/schemas/Parameters"
@@ -733,4 +1217,4 @@
"name": "server"
}
]
-}
\ No newline at end of file
+}
diff --git a/mlserver/rest/responses.py b/mlserver/rest/responses.py
index c55835064..c59d01645 100644
--- a/mlserver/rest/responses.py
+++ b/mlserver/rest/responses.py
@@ -1,64 +1,32 @@
-import json
-
from typing import Any
+from pydantic import BaseModel
from starlette.responses import JSONResponse as _JSONResponse
-from ..codecs.string import decode_str
-
-try:
- import orjson
-except ImportError:
- orjson = None # type: ignore
-
-
-class BytesJSONEncoder(json.JSONEncoder):
- def default(self, obj):
- if isinstance(obj, bytes):
- # If we get a bytes payload, try to decode it back to a string on a
- # "best effort" basis
- return decode_str(obj)
-
- return super().default(self, obj)
+from ..codecs.json import encode_to_json_bytes
class Response(_JSONResponse):
"""
- Custom Response class to use `orjson` if present.
- Otherwise, it'll fall back to the standard JSONResponse.
+ Custom Response that will use the encode_to_json_bytes function to
+ encode given content to json based on library availability.
+ See mlserver/codecs/utils.py for more details
"""
media_type = "application/json"
def render(self, content: Any) -> bytes:
- if orjson is None:
- # Original implementation of starlette's JSONResponse, using our
- # custom encoder (capable of "encoding" bytes).
- # Original implementation can be seen here:
- # https://github.com/encode/starlette/blob/
- # f53faba229e3fa2844bc3753e233d9c1f54cca52/starlette/responses.py#L173-L180
- return json.dumps(
- content,
- ensure_ascii=False,
- allow_nan=False,
- indent=None,
- separators=(",", ":"),
- cls=BytesJSONEncoder,
- ).encode("utf-8")
-
- # This is equivalent to the ORJSONResponse implementation in FastAPI:
- # https://github.com/tiangolo/fastapi/blob/
- # 864643ef7608d28ac4ed321835a7fb4abe3dfc13/fastapi/responses.py#L32-L34
- return orjson.dumps(content, default=_encode_bytes)
+ return encode_to_json_bytes(content)
-def _encode_bytes(obj: Any) -> str:
- """
- Add compatibility with `bytes` payloads to `orjson`
- """
- if isinstance(obj, bytes):
- # If we get a bytes payload, try to decode it back to a string on a
- # "best effort" basis
- return decode_str(obj)
+class ServerSentEvent:
+ def __init__(self, data: BaseModel, *args, **kwargs):
+ # NOTE: SSE should use `\n\n` as separator
+ # https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events/Using_server-sent_events#event_stream_format
+ self._sep = b"\n\n"
+ self._pre = b"data: "
+ self.data = data
- raise TypeError
+ def encode(self) -> bytes:
+ as_dict = self.data.model_dump()
+ return self._pre + encode_to_json_bytes(as_dict) + self._sep
diff --git a/mlserver/rest/server.py b/mlserver/rest/server.py
index 86632965d..8336e6f58 100644
--- a/mlserver/rest/server.py
+++ b/mlserver/rest/server.py
@@ -1,4 +1,5 @@
import uvicorn
+import signal
from ..settings import Settings
from ..handlers import DataPlane, ModelRepositoryHandlers, get_custom_handlers
@@ -96,4 +97,9 @@ def _get_config(self):
return uvicorn.Config(self._app, **kwargs)
async def stop(self, sig: Optional[int] = None):
+ if sig is None:
+ # `sig` is no longer optional for `handle_exit` in
+ # latest `uvicorn`
+ sig = signal.SIGINT
+
self._server.handle_exit(sig=sig, frame=None)
diff --git a/mlserver/settings.py b/mlserver/settings.py
index dcd7418b2..5962dc89a 100644
--- a/mlserver/settings.py
+++ b/mlserver/settings.py
@@ -4,8 +4,24 @@
import importlib
import inspect
-from typing import Any, Dict, List, Optional, Type, Union, no_type_check, TYPE_CHECKING
-from pydantic import PyObject, Extra, Field, BaseSettings as _BaseSettings
+from typing import (
+ Any,
+ Dict,
+ List,
+ Optional,
+ Type,
+ Union,
+ no_type_check,
+ TYPE_CHECKING,
+)
+from pydantic import (
+ ImportString,
+ Field,
+ AliasChoices,
+)
+from pydantic._internal._validators import import_string
+import pydantic_settings
+from pydantic_settings import SettingsConfigDict
from contextlib import contextmanager
from .version import __version__
@@ -20,6 +36,7 @@
DEFAULT_ENVIRONMENTS_DIR = os.path.join(os.getcwd(), ".envs")
DEFAULT_METRICS_DIR = os.path.join(os.getcwd(), ".metrics")
+# Conditionally imported due to cyclic dependencies
if TYPE_CHECKING:
from ..model import MLModel
@@ -46,7 +63,7 @@ def _reload_module(import_path: str):
importlib.reload(module)
-class BaseSettings(_BaseSettings):
+class BaseSettings(pydantic_settings.BaseSettings):
@no_type_check
def __setattr__(self, name, value):
"""
@@ -92,9 +109,15 @@ def json(self, by_alias=True, exclude_unset=True, exclude_none=True, **kwargs):
class CORSSettings(BaseSettings):
- class Config:
- env_file = ENV_FILE_SETTINGS
- env_prefix = ENV_PREFIX_SETTINGS
+ model_config = SettingsConfigDict(
+ env_file=ENV_FILE_SETTINGS,
+ env_prefix=ENV_PREFIX_SETTINGS,
+ # > For compatibility with pydantic 1.x BaseSettings you
+ # > should use extra=ignore: [1]
+ #
+ # [1] https://docs.pydantic.dev/2.7/concepts/pydantic_settings/#dotenv-env-support # noqa: E501
+ extra="ignore",
+ )
allow_origins: Optional[List[str]] = []
"""
@@ -128,9 +151,16 @@ class Config:
class Settings(BaseSettings):
- class Config:
- env_file = ENV_FILE_SETTINGS
- env_prefix = ENV_PREFIX_SETTINGS
+ model_config = SettingsConfigDict(
+ protected_namespaces=(),
+ env_file=ENV_FILE_SETTINGS,
+ env_prefix=ENV_PREFIX_SETTINGS,
+ # > For compatibility with pydantic 1.x BaseSettings you
+ # > should use extra=ignore: [1]
+ #
+ # [1] https://docs.pydantic.dev/2.7/concepts/pydantic_settings/#dotenv-env-support # noqa: E501
+ extra="ignore",
+ )
debug: bool = True
@@ -149,7 +179,7 @@ class Config:
"""
# Custom model repository class implementation
- model_repository_implementation: Optional[PyObject] = None
+ model_repository_implementation: Optional[ImportString] = None
"""*Python path* to the inference runtime to model repository (e.g.
``mlserver.repository.repository.SchemalessModelRepository``)."""
@@ -260,6 +290,9 @@ class Config:
cache_size: int = 100
"""Cache size to be used if caching is enabled."""
+ gzip_enabled: bool = True
+ """Enable GZipMiddleware."""
+
class ModelParameters(BaseSettings):
"""
@@ -270,10 +303,11 @@ class ModelParameters(BaseSettings):
can change on each instance (e.g. each version) of the model.
"""
- class Config:
- extra = Extra.allow
- env_file = ENV_FILE_SETTINGS
- env_prefix = ENV_PREFIX_MODEL_SETTINGS
+ model_config = SettingsConfigDict(
+ env_file=ENV_FILE_SETTINGS,
+ env_prefix=ENV_PREFIX_MODEL_SETTINGS,
+ extra="allow",
+ )
uri: Optional[str] = None
"""
@@ -284,6 +318,10 @@ class Config:
version: Optional[str] = None
"""Version of the model."""
+ environment_path: Optional[str] = None
+ """Path to a directory that contains the python environment to be used
+ to load this model."""
+
environment_tarball: Optional[str] = None
"""Path to the environment tarball which should be used to load this
model."""
@@ -300,17 +338,22 @@ class Config:
class ModelSettings(BaseSettings):
- class Config:
- env_file = ENV_FILE_SETTINGS
- env_prefix = ENV_PREFIX_MODEL_SETTINGS
- underscore_attrs_are_private = True
+ model_config = SettingsConfigDict(
+ env_file=ENV_FILE_SETTINGS,
+ env_prefix=ENV_PREFIX_MODEL_SETTINGS,
+ # > For compatibility with pydantic 1.x BaseSettings you
+ # > should use extra=ignore: [1]
+ #
+ # [1] https://docs.pydantic.dev/2.7/concepts/pydantic_settings/#dotenv-env-support # noqa: E501
+ extra="ignore",
+ )
# Source points to the file where model settings were loaded from
_source: Optional[str] = None
def __init__(self, *args, **kwargs):
# Ensure we still support inline init, e.g.
- # ModelSettings(implementation=SumModel)
+ # `ModelSettings(implementation=SumModel)`.
implementation = kwargs.get("implementation", None)
if inspect.isclass(implementation):
kwargs["implementation"] = _get_import_path(implementation)
@@ -322,31 +365,53 @@ def parse_file(cls, path: str) -> "ModelSettings": # type: ignore
with open(path, "r") as f:
obj = json.load(f)
obj["_source"] = path
- return cls.parse_obj(obj)
+ return cls.model_validate(obj)
@classmethod
- def parse_obj(cls, obj: Any) -> "ModelSettings":
+ def model_validate(cls, obj: Any) -> "ModelSettings": # type: ignore
source = obj.pop("_source", None)
- model_settings = super().parse_obj(obj)
+ model_settings = super().model_validate(obj)
if source:
model_settings._source = source
return model_settings
+ # Custom model class implementation
+ #
+ # NOTE: The `implementation_` attr will only point to the string import.
+ #
+ # The actual import will occur within the `implementation` property - think
+ # of this as a lazy import.
+ #
+ # You should always use `model_settings.implementation` and treat
+ # `implementation_` as a private attr.
+
@property
def implementation(self) -> Type["MLModel"]:
+ # If the source is not set, use the path for the model module
if not self._source:
- return PyObject.validate(self.implementation_) # type: ignore
+ return import_string(self.implementation_) # type: ignore
+ # Get a nice path to the model's (disk) location
model_folder = os.path.dirname(self._source)
+
+ # Temporarily inject the model's module into the Python
+ # system path.
with _extra_sys_path(model_folder):
_reload_module(self.implementation_)
- return PyObject.validate(self.implementation_) # type: ignore
+ return import_string(self.implementation_) # type: ignore
@implementation.setter
def implementation(self, value: Type["MLModel"]):
self.implementation_ = _get_import_path(value)
+ implementation_: str = Field(
+ validation_alias=AliasChoices(
+ "implementation", "MLSERVER_MODEL_IMPLEMENTATION"
+ ),
+ serialization_alias="implementation",
+ )
+
@property
def version(self) -> Optional[str]:
params = self.parameters
@@ -395,16 +460,6 @@ def version(self) -> Optional[str]:
"""When adaptive batching is enabled, maximum amount of time (in seconds)
to wait for enough requests to build a full batch."""
- # Custom model class implementation
- # NOTE: The `implementation_` attr will only point to the string import.
- # The actual import will occur within the `implementation` property - think
- # of this as a lazy import.
- # You should always use `model_settings.implementation` and treat
- # `implementation_` as a private attr (due to Pydantic - we can't just
- # prefix the attr with `_`).
- implementation_: str = Field(
- alias="implementation", env="MLSERVER_MODEL_IMPLEMENTATION"
- )
"""*Python path* to the inference runtime to use to serve this model (e.g.
``mlserver_sklearn.SKLearnModel``)."""
diff --git a/mlserver/types/base.py b/mlserver/types/base.py
index c166b9829..becfa06ef 100644
--- a/mlserver/types/base.py
+++ b/mlserver/types/base.py
@@ -1,7 +1,8 @@
-from pydantic import BaseModel as _BaseModel
+import pydantic
+from pydantic import ConfigDict
-class BaseModel(_BaseModel):
+class BaseModel(pydantic.BaseModel):
"""
Override Pydantic's BaseModel class to ensure all payloads exclude unset
fields by default.
@@ -10,15 +11,17 @@ class BaseModel(_BaseModel):
https://github.com/pydantic/pydantic/issues/1387#issuecomment-612901525
"""
- def dict(self, exclude_unset=True, exclude_none=True, **kwargs):
- return super().dict(
+ model_config = ConfigDict(
+ protected_namespaces=(),
+ use_enum_values=True,
+ )
+
+ def model_dump(self, exclude_unset=True, exclude_none=True, **kwargs):
+ return super().model_dump(
exclude_unset=exclude_unset, exclude_none=exclude_none, **kwargs
)
- def json(self, exclude_unset=True, exclude_none=True, **kwargs):
- return super().json(
+ def model_dump_json(self, exclude_unset=True, exclude_none=True, **kwargs):
+ return super().model_dump_json(
exclude_unset=exclude_unset, exclude_none=exclude_none, **kwargs
)
-
- class Config:
- use_enum_values = True
diff --git a/mlserver/types/dataplane.py b/mlserver/types/dataplane.py
index b565b7ef2..ea93e998d 100644
--- a/mlserver/types/dataplane.py
+++ b/mlserver/types/dataplane.py
@@ -1,10 +1,12 @@
# generated by datamodel-codegen:
# filename: dataplane.yaml
+from __future__ import annotations
+
from enum import Enum
-from typing import Any, Dict, List, Optional
+from typing import Any, Dict, List, Optional, Union
-from pydantic import Extra, Field
+from pydantic import ConfigDict, Field, RootModel
from .base import BaseModel
@@ -19,98 +21,98 @@ class MetadataServerErrorResponse(BaseModel):
error: str
-class Datatype(Enum):
- BOOL = "BOOL"
- UINT8 = "UINT8"
- UINT16 = "UINT16"
- UINT32 = "UINT32"
- UINT64 = "UINT64"
- INT8 = "INT8"
- INT16 = "INT16"
- INT32 = "INT32"
- INT64 = "INT64"
- FP16 = "FP16"
- FP32 = "FP32"
- FP64 = "FP64"
- BYTES = "BYTES"
-
-
class MetadataModelErrorResponse(BaseModel):
error: str
class Parameters(BaseModel):
- class Config:
- extra = Extra.allow
-
+ model_config = ConfigDict(
+ extra="allow",
+ )
content_type: Optional[str] = None
headers: Optional[Dict[str, Any]] = None
-class TensorData(BaseModel):
- __root__: Any = Field(..., title="TensorData")
+class TensorData(RootModel[Union[List, Any]]):
+ root: Union[List, Any] = Field(..., title="TensorData")
def __iter__(self):
- return iter(self.__root__)
+ return iter(self.root)
def __getitem__(self, idx):
- return self.__root__[idx]
+ return self.root[idx]
def __len__(self):
- return len(self.__root__)
+ return len(self.root)
class RequestOutput(BaseModel):
name: str
- parameters: Optional["Parameters"] = None
-
-
-class ResponseOutput(BaseModel):
- name: str
- shape: List[int]
- datatype: "Datatype"
- parameters: Optional["Parameters"] = None
- data: "TensorData"
-
-
-class InferenceResponse(BaseModel):
- model_name: str
- model_version: Optional[str] = None
- id: Optional[str] = None
- parameters: Optional["Parameters"] = None
- outputs: List["ResponseOutput"]
+ parameters: Optional[Parameters] = None
class InferenceErrorResponse(BaseModel):
error: Optional[str] = None
+class Datatype(Enum):
+ BOOL = "BOOL"
+ UINT8 = "UINT8"
+ UINT16 = "UINT16"
+ UINT32 = "UINT32"
+ UINT64 = "UINT64"
+ INT8 = "INT8"
+ INT16 = "INT16"
+ INT32 = "INT32"
+ INT64 = "INT64"
+ FP16 = "FP16"
+ FP32 = "FP32"
+ FP64 = "FP64"
+ BYTES = "BYTES"
+
+
class MetadataTensor(BaseModel):
name: str
- datatype: "Datatype"
+ datatype: Datatype
shape: List[int]
- parameters: Optional["Parameters"] = None
+ parameters: Optional[Parameters] = None
class RequestInput(BaseModel):
name: str
shape: List[int]
- datatype: "Datatype"
- parameters: Optional["Parameters"] = None
- data: "TensorData"
+ datatype: Datatype
+ parameters: Optional[Parameters] = None
+ data: TensorData
+
+
+class ResponseOutput(BaseModel):
+ name: str
+ shape: List[int]
+ datatype: Datatype
+ parameters: Optional[Parameters] = None
+ data: TensorData
+
+
+class InferenceResponse(BaseModel):
+ model_name: str
+ model_version: Optional[str] = None
+ id: Optional[str] = None
+ parameters: Optional[Parameters] = None
+ outputs: List[ResponseOutput]
class MetadataModelResponse(BaseModel):
name: str
versions: Optional[List[str]] = None
platform: str
- inputs: Optional[List["MetadataTensor"]] = None
- outputs: Optional[List["MetadataTensor"]] = None
- parameters: Optional["Parameters"] = None
+ inputs: Optional[List[MetadataTensor]] = None
+ outputs: Optional[List[MetadataTensor]] = None
+ parameters: Optional[Parameters] = None
class InferenceRequest(BaseModel):
id: Optional[str] = None
- parameters: Optional["Parameters"] = None
- inputs: List["RequestInput"]
- outputs: Optional[List["RequestOutput"]] = None
+ parameters: Optional[Parameters] = None
+ inputs: List[RequestInput]
+ outputs: Optional[List[RequestOutput]] = None
diff --git a/mlserver/types/model_repository.py b/mlserver/types/model_repository.py
index 34de26ec7..21b75c1d9 100644
--- a/mlserver/types/model_repository.py
+++ b/mlserver/types/model_repository.py
@@ -1,10 +1,12 @@
# generated by datamodel-codegen:
# filename: model_repository.yaml
+from __future__ import annotations
+
from enum import Enum
from typing import List, Optional
-from pydantic import Field
+from pydantic import Field, RootModel
from .base import BaseModel
@@ -24,23 +26,23 @@ class State(Enum):
class RepositoryIndexResponseItem(BaseModel):
name: str
version: Optional[str] = None
- state: "State"
+ state: State
reason: str
-class RepositoryIndexResponse(BaseModel):
- __root__: List["RepositoryIndexResponseItem"] = Field(
+class RepositoryIndexResponse(RootModel[List[RepositoryIndexResponseItem]]):
+ root: List[RepositoryIndexResponseItem] = Field(
..., title="RepositoryIndexResponse"
)
def __iter__(self):
- return iter(self.__root__)
+ return iter(self.root)
def __getitem__(self, idx):
- return self.__root__[idx]
+ return self.root[idx]
def __len__(self):
- return len(self.__root__)
+ return len(self.root)
class RepositoryLoadErrorResponse(BaseModel):
diff --git a/mlserver/version.py b/mlserver/version.py
index b7b669e38..a744fe1e9 100644
--- a/mlserver/version.py
+++ b/mlserver/version.py
@@ -1 +1 @@
-__version__ = "1.5.0.dev1"
+__version__ = "1.6.0.dev2"
diff --git a/openapi/dataplane.yaml b/openapi/dataplane.yaml
index 3aa6ad43e..9417af0b8 100644
--- a/openapi/dataplane.yaml
+++ b/openapi/dataplane.yaml
@@ -245,9 +245,288 @@ paths:
tags:
- inference
- model
+ '/v2/models/{model_name}/versions/{model_version}/infer_stream':
+ parameters:
+ - schema:
+ type: string
+ name: model_name
+ in: path
+ required: true
+ - schema:
+ type: string
+ name: model_version
+ in: path
+ required: true
+ post:
+ summary: Model Inference Stream
+ operationId: model-version-inference-stream
+ responses:
+ '200':
+ description: OK
+ content:
+ application/json:
+ schema:
+ $ref: '#/components/schemas/InferenceResponse'
+ '400':
+ description: Bad Request
+ content:
+ application/json:
+ schema:
+ $ref: '#/components/schemas/InferenceErrorResponse'
+ '404':
+ description: Not Found
+ content:
+ application/json:
+ schema:
+ $ref: '#/components/schemas/InferenceErrorResponse'
+ '500':
+ description: Internal Server Error
+ content:
+ application/json:
+ schema:
+ $ref: '#/components/schemas/InferenceErrorResponse'
+ requestBody:
+ content:
+ application/json:
+ schema:
+ $ref: '#/components/schemas/InferenceRequest'
+ description: An inference request is made with an HTTP POST to an inference endpoint. The model name and (optionally) version must be available in the URL. If a version is not provided the server may choose a version based on its own policies or return an error.
+ tags:
+ - inference
+ - model
+ '/v2/models/{model_name}/infer_stream':
+ parameters:
+ - schema:
+ type: string
+ name: model_name
+ in: path
+ required: true
+ post:
+ summary: Model Inference Stream
+ operationId: model-inference-stream
+ responses:
+ '200':
+ description: OK
+ content:
+ application/json:
+ schema:
+ $ref: '#/components/schemas/InferenceResponse'
+ '400':
+ description: Bad Request
+ content:
+ application/json:
+ schema:
+ $ref: '#/components/schemas/InferenceErrorResponse'
+ '404':
+ description: Not Found
+ content:
+ application/json:
+ schema:
+ $ref: '#/components/schemas/InferenceErrorResponse'
+ '500':
+ description: Internal Server Error
+ content:
+ application/json:
+ schema:
+ $ref: '#/components/schemas/InferenceErrorResponse'
+ requestBody:
+ content:
+ application/json:
+ schema:
+ $ref: '#/components/schemas/InferenceRequest'
+ description: An inference request is made with an HTTP POST to an inference endpoint. The model name and (optionally) version must be available in the URL. If a version is not provided the server may choose a version based on its own policies or return an error.
+ tags:
+ - inference
+ - model
+ '/v2/models/{model_name}/versions/{model_version}/generate':
+ parameters:
+ - schema:
+ type: string
+ name: model_name
+ in: path
+ required: true
+ - schema:
+ type: string
+ name: model_version
+ in: path
+ required: true
+ post:
+ summary: Model Generate
+ operationId: model-version-generate
+ responses:
+ '200':
+ description: OK
+ content:
+ application/json:
+ schema:
+ $ref: '#/components/schemas/InferenceResponse'
+ '400':
+ description: Bad Request
+ content:
+ application/json:
+ schema:
+ $ref: '#/components/schemas/InferenceErrorResponse'
+ '404':
+ description: Not Found
+ content:
+ application/json:
+ schema:
+ $ref: '#/components/schemas/InferenceErrorResponse'
+ '500':
+ description: Internal Server Error
+ content:
+ application/json:
+ schema:
+ $ref: '#/components/schemas/InferenceErrorResponse'
+ requestBody:
+ content:
+ application/json:
+ schema:
+ $ref: '#/components/schemas/InferenceRequest'
+ description: An inference request is made with an HTTP POST to an inference endpoint. The model name and (optionally) version must be available in the URL. If a version is not provided the server may choose a version based on its own policies or return an error.
+ tags:
+ - inference
+ - model
+ '/v2/models/{model_name}/generate':
+ parameters:
+ - schema:
+ type: string
+ name: model_name
+ in: path
+ required: true
+ post:
+ summary: Model Generate
+ operationId: model-generate
+ responses:
+ '200':
+ description: OK
+ content:
+ application/json:
+ schema:
+ $ref: '#/components/schemas/InferenceResponse'
+ '400':
+ description: Bad Request
+ content:
+ application/json:
+ schema:
+ $ref: '#/components/schemas/InferenceErrorResponse'
+ '404':
+ description: Not Found
+ content:
+ application/json:
+ schema:
+ $ref: '#/components/schemas/InferenceErrorResponse'
+ '500':
+ description: Internal Server Error
+ content:
+ application/json:
+ schema:
+ $ref: '#/components/schemas/InferenceErrorResponse'
+ requestBody:
+ content:
+ application/json:
+ schema:
+ $ref: '#/components/schemas/InferenceRequest'
+ description: An inference request is made with an HTTP POST to an inference endpoint. The model name and (optionally) version must be available in the URL. If a version is not provided the server may choose a version based on its own policies or return an error.
+ tags:
+ - inference
+ - model
+ '/v2/models/{model_name}/versions/{model_version}/generate_stream':
+ parameters:
+ - schema:
+ type: string
+ name: model_name
+ in: path
+ required: true
+ - schema:
+ type: string
+ name: model_version
+ in: path
+ required: true
+ post:
+ summary: Model Generate Stream
+ operationId: model-version-generate-stream
+ responses:
+ '200':
+ description: OK
+ content:
+ application/json:
+ schema:
+ $ref: '#/components/schemas/InferenceResponse'
+ '400':
+ description: Bad Request
+ content:
+ application/json:
+ schema:
+ $ref: '#/components/schemas/InferenceErrorResponse'
+ '404':
+ description: Not Found
+ content:
+ application/json:
+ schema:
+ $ref: '#/components/schemas/InferenceErrorResponse'
+ '500':
+ description: Internal Server Error
+ content:
+ application/json:
+ schema:
+ $ref: '#/components/schemas/InferenceErrorResponse'
+ requestBody:
+ content:
+ application/json:
+ schema:
+ $ref: '#/components/schemas/InferenceRequest'
+ description: An inference request is made with an HTTP POST to an inference endpoint. The model name and (optionally) version must be available in the URL. If a version is not provided the server may choose a version based on its own policies or return an error.
+ tags:
+ - inference
+ - model
+ '/v2/models/{model_name}/generate_stream':
+ parameters:
+ - schema:
+ type: string
+ name: model_name
+ in: path
+ required: true
+ post:
+ summary: Model Generate Stream
+ operationId: model-generate-stream
+ responses:
+ '200':
+ description: OK
+ content:
+ application/json:
+ schema:
+ $ref: '#/components/schemas/InferenceResponse'
+ '400':
+ description: Bad Request
+ content:
+ application/json:
+ schema:
+ $ref: '#/components/schemas/InferenceErrorResponse'
+ '404':
+ description: Not Found
+ content:
+ application/json:
+ schema:
+ $ref: '#/components/schemas/InferenceErrorResponse'
+ '500':
+ description: Internal Server Error
+ content:
+ application/json:
+ schema:
+ $ref: '#/components/schemas/InferenceErrorResponse'
+ requestBody:
+ content:
+ application/json:
+ schema:
+ $ref: '#/components/schemas/InferenceRequest'
+ description: An inference request is made with an HTTP POST to an inference endpoint. The model name and (optionally) version must be available in the URL. If a version is not provided the server may choose a version based on its own policies or return an error.
+ tags:
+ - inference
+ - model
components:
enums:
- TensorDataTypes:
+ Datatype:
type: string
enum:
- BOOL
@@ -321,7 +600,8 @@ components:
properties:
name:
type: string
- datatype: $ref: '#/components/enums/TensorDataTypes'
+ datatype:
+ $ref: '#/components/enums/Datatype'
shape:
type: array
items:
@@ -415,7 +695,8 @@ components:
type: array
items:
type: integer
- datatype: $ref: '#/components/enums/TensorDataTypes'
+ datatype:
+ $ref: '#/components/enums/Datatype'
parameters:
$ref: '#/components/schemas/Parameters'
data:
@@ -427,6 +708,9 @@ components:
- data
TensorData:
title: TensorData
+ oneOf:
+ - type: array
+ - type: bytes
RequestOutput:
title: RequestOutput
type: object
@@ -447,7 +731,8 @@ components:
type: array
items:
type: integer
- datatype: $ref: '#/components/enums/TensorDataTypes'
+ datatype:
+ $ref: '#/components/enums/Datatype'
parameters:
$ref: '#/components/schemas/Parameters'
data:
diff --git a/poetry.lock b/poetry.lock
index 4e45923b9..6d62aeca7 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1,4 +1,4 @@
-# This file is automatically @generated by Poetry 1.8.2 and should not be changed by hand.
+# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand.
[[package]]
name = "absl-py"
@@ -23,91 +23,103 @@ files = [
]
[[package]]
-name = "aiohttp"
-version = "3.9.3"
-description = "Async http client/server framework (asyncio)"
+name = "aiohappyeyeballs"
+version = "2.3.5"
+description = "Happy Eyeballs for asyncio"
optional = false
python-versions = ">=3.8"
files = [
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aiosignal = ">=1.1.2"
async-timeout = {version = ">=4.0,<5.0", markers = "python_version < \"3.11\""}
attrs = ">=17.3.0"
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yarl = ">=1.0,<2.0"
[package.extras]
-speedups = ["Brotli", "aiodns", "brotlicffi"]
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name = "aiohttp-retry"
@@ -229,13 +241,13 @@ tz = ["backports.zoneinfo"]
[[package]]
name = "alibi"
-version = "0.9.5"
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description = "Algorithms for monitoring and explaining machine learning models"
optional = false
python-versions = ">=3.8"
files = [
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numpy = ">=1.16.2,<2.0.0"
pandas = ">=1.0.0,<3.0.0"
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requests = ">=2.21.0,<3.0.0"
scikit-image = ">=0.17.2,<0.23"
scikit-learn = ">=1.0.0,<2.0.0"
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tensorflow = ["tensorflow (>=2.0.0,!=2.6.0,!=2.6.1,<2.15.0)"]
torch = ["torch (>=1.9.0,<3.0.0)"]
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name = "alibi-detect"
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description = "Algorithms for outlier detection, concept drift and metrics."
optional = false
python-versions = ">=3.8"
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matplotlib = ">=3.0.0,<4.0.0"
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Pillow = ">=5.4.1,<11.0.0"
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scikit-learn = ">=0.20.2,<2.0.0"
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prophet = ["prophet (>=1.1.0,<2.0.0)"]
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torch = ["torch (>=1.7.0,<3.0.0)"]
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dev = ["black", "coverage", "isort", "pre-commit", "pyenchant", "pylint"]
+[[package]]
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+python-versions = ">=3.8"
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description = "High level compatibility layer for multiple asynchronous event loop implementations"
optional = false
python-versions = ">=3.8"
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@@ -343,13 +365,13 @@ trio = ["trio (>=0.23)"]
[[package]]
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+version = "3.3.0"
description = "Bash tab completion for argparse"
optional = false
python-versions = ">=3.8"
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[[package]]
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+version = "3.8.1"
description = "ASGI specs, helper code, and adapters"
optional = false
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[[package]]
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+version = "2.2.0"
description = "Seamlessly integrate pydantic models in your Sphinx documentation."
optional = false
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test-no-images = ["pytest", "pytest-cov", "pytest-xdist", "wurlitzer"]
@@ -1326,22 +1396,23 @@ wmi = ["wmi (>=1.5.1)"]
[[package]]
name = "docker"
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+version = "7.1.0"
description = "A Python library for the Docker Engine API."
optional = false
python-versions = ">=3.8"
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pywin32 = {version = ">=304", markers = "sys_platform == \"win32\""}
requests = ">=2.26.0"
urllib3 = ">=1.26.0"
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ssh = ["paramiko (>=2.4.3)"]
websockets = ["websocket-client (>=1.3.0)"]
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+version = "0.4.2"
description = "HuggingFace community-driven open-source library of evaluation"
optional = false
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tqdm = ">=4.62.1"
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torch = ["torch"]
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description = "Backport of PEP 654 (exception groups)"
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description = "execnet: rapid multi-Python deployment"
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description = "File-system specification"
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python-versions = ">=3.8"
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adl = ["adlfs"]
arrow = ["pyarrow (>=1)"]
dask = ["dask", "distributed"]
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dropbox = ["dropbox", "dropboxdrivefs", "requests"]
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fuse = ["fusepy"]
@@ -1737,6 +1808,9 @@ s3 = ["s3fs"]
sftp = ["paramiko"]
smb = ["smbprotocol"]
ssh = ["paramiko"]
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socks = ["socksio (==1.*)"]
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testing = ["pytest"]
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fonttools = ">=4.22.0"
importlib-resources = {version = ">=3.2.0", markers = "python_version < \"3.10\""}
kiwisolver = ">=1.3.1"
-numpy = ">=1.21,<2"
+numpy = ">=1.23"
packaging = ">=20.0"
pillow = ">=8"
pyparsing = ">=2.3.1"
python-dateutil = ">=2.7"
+[package.extras]
+dev = ["meson-python (>=0.13.1)", "numpy (>=1.25)", "pybind11 (>=2.6)", "setuptools (>=64)", "setuptools_scm (>=7)"]
+
[[package]]
name = "mccabe"
version = "0.7.0"
@@ -3185,13 +3454,13 @@ files = [
[[package]]
name = "mdit-py-plugins"
-version = "0.4.0"
+version = "0.4.1"
description = "Collection of plugins for markdown-it-py"
optional = false
python-versions = ">=3.8"
files = [
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@@ -3251,17 +3520,18 @@ dev = ["absl-py", "pyink", "pylint (>=2.6.0)", "pytest", "pytest-xdist"]
[[package]]
name = "mlflow"
-version = "2.11.1"
-description = "MLflow: A Platform for ML Development and Productionization"
+version = "2.13.1"
+description = "MLflow is an open source platform for the complete machine learning lifecycle"
optional = false
python-versions = ">=3.8"
files = [
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alembic = "<1.10.0 || >1.10.0,<2"
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click = ">=7.0,<9"
cloudpickle = "<4"
docker = ">=4.0.0,<8"
@@ -3269,7 +3539,7 @@ entrypoints = "<1"
Flask = "<4"
gitpython = ">=3.1.9,<4"
graphene = "<4"
-gunicorn = {version = "<22", markers = "platform_system != \"Windows\""}
+gunicorn = {version = "<23", markers = "platform_system != \"Windows\""}
importlib-metadata = ">=3.7.0,<4.7.0 || >4.7.0,<8"
Jinja2 = [
{version = ">=2.11,<4", markers = "platform_system != \"Windows\""},
@@ -3278,7 +3548,9 @@ Jinja2 = [
markdown = ">=3.3,<4"
matplotlib = "<4"
numpy = "<2"
-packaging = "<24"
+opentelemetry-api = ">=1.0.0,<3"
+opentelemetry-sdk = ">=1.0.0,<3"
+packaging = "<25"
pandas = "<3"
protobuf = ">=3.12.0,<5"
pyarrow = ">=4.0.0,<16"
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sqlserver = ["mlflow-dbstore"]
xethub = ["mlflow-xethub"]
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name = "mlserver-alibi-detect"
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+version = "1.6.0.dev2"
description = "Alibi-Detect runtime for MLServer"
optional = false
python-versions = ">=3.9,<3.12"
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[package.dependencies]
alibi-detect = {version = "*", extras = ["tensorflow"]}
mlserver = "*"
-pydantic = "<2.0.0"
+pydantic = "2.7.1"
[package.source]
type = "directory"
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[[package]]
name = "mlserver-alibi-explain"
-version = "1.5.0.dev1"
+version = "1.6.0.dev2"
description = "Alibi-Explain runtime for MLServer"
optional = false
python-versions = ">=3.9,<3.12"
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mlserver_sklearn = "*"
mlserver_xgboost = "*"
orjson = "*"
-pydantic = "<2.0.0"
+pydantic = "2.7.1"
[package.source]
type = "directory"
url = "runtimes/alibi-explain"
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+version = "1.6.0.dev2"
+description = "Catboost runtime for MLServer"
+optional = false
+python-versions = ">=3.9,<3.12"
+files = []
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+
+[package.dependencies]
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+joblib = "*"
+mlserver = "*"
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+[package.source]
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+url = "runtimes/catboost"
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name = "mlserver-huggingface"
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+version = "1.6.0.dev2"
description = "HuggingFace runtime for MLServer"
optional = false
python-versions = ">=3.9,<3.12"
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mlserver = "*"
optimum = {version = ">=1.4,<2.0", extras = ["onnxruntime"]}
pillow = "*"
-pydantic = "<2.0.0"
+pydantic = "2.7.1"
tensorflow = "*"
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[[package]]
name = "mlserver-lightgbm"
-version = "1.5.0.dev1"
+version = "1.6.0.dev2"
description = "LightGBM runtime for MLServer"
optional = false
python-versions = ">=3.9,<3.12"
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lightgbm = "*"
mlserver = "*"
pandas = "*"
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[package.source]
type = "directory"
@@ -3382,7 +3673,7 @@ url = "runtimes/lightgbm"
[[package]]
name = "mlserver-mlflow"
-version = "1.5.0.dev1"
+version = "1.6.0.dev2"
description = "MLflow runtime for MLServer"
optional = false
python-versions = ">=3.9,<3.12"
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mlflow = "*"
mlserver = "*"
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[package.source]
type = "directory"
@@ -3400,7 +3690,7 @@ url = "runtimes/mlflow"
[[package]]
name = "mlserver-sklearn"
-version = "1.5.0.dev1"
+version = "1.6.0.dev2"
description = "Scikit-Learn runtime for MLServer"
optional = false
python-versions = ">=3.9,<3.12"
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[package.dependencies]
joblib = "*"
mlserver = "*"
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scikit-learn = "*"
[package.source]
@@ -3419,7 +3708,7 @@ url = "runtimes/sklearn"
[[package]]
name = "mlserver-xgboost"
-version = "1.5.0.dev1"
+version = "1.6.0.dev2"
description = "XGBoost runtime for MLServer"
optional = false
python-versions = ">=3.9,<3.12"
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mlserver = "*"
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xgboost = {version = "*", extras = ["scikit-learn"]}
[package.source]
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description = "Optional static typing for Python"
optional = false
python-versions = ">=3.8"
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@@ -4056,18 +4345,18 @@ sympy = "*"
[[package]]
name = "opencv-python"
-version = "4.9.0.80"
+version = "4.10.0.82"
description = "Wrapper package for OpenCV python bindings."
optional = false
python-versions = ">=3.6"
files = [
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[package.dependencies]
@@ -4081,42 +4370,42 @@ numpy = [
[[package]]
name = "opentelemetry-api"
-version = "1.23.0"
+version = "1.25.0"
description = "OpenTelemetry Python API"
optional = false
python-versions = ">=3.8"
files = [
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[package.dependencies]
deprecated = ">=1.2.6"
-importlib-metadata = ">=6.0,<7.0"
+importlib-metadata = ">=6.0,<=7.1"
[[package]]
name = "opentelemetry-exporter-otlp-proto-common"
-version = "1.23.0"
+version = "1.25.0"
description = "OpenTelemetry Protobuf encoding"
optional = false
python-versions = ">=3.8"
files = [
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[package.dependencies]
-opentelemetry-proto = "1.23.0"
+opentelemetry-proto = "1.25.0"
[[package]]
name = "opentelemetry-exporter-otlp-proto-grpc"
-version = "1.23.0"
+version = "1.25.0"
description = "OpenTelemetry Collector Protobuf over gRPC Exporter"
optional = false
python-versions = ">=3.8"
files = [
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[package.dependencies]
@@ -4124,22 +4413,19 @@ deprecated = ">=1.2.6"
googleapis-common-protos = ">=1.52,<2.0"
grpcio = ">=1.0.0,<2.0.0"
opentelemetry-api = ">=1.15,<2.0"
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-opentelemetry-proto = "1.23.0"
-opentelemetry-sdk = ">=1.23.0,<1.24.0"
-
-[package.extras]
-test = ["pytest-grpc"]
+opentelemetry-exporter-otlp-proto-common = "1.25.0"
+opentelemetry-proto = "1.25.0"
+opentelemetry-sdk = ">=1.25.0,<1.26.0"
[[package]]
name = "opentelemetry-instrumentation"
-version = "0.44b0"
+version = "0.46b0"
description = "Instrumentation Tools & Auto Instrumentation for OpenTelemetry Python"
optional = false
python-versions = ">=3.8"
files = [
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@@ -4149,79 +4435,75 @@ wrapt = ">=1.0.0,<2.0.0"
[[package]]
name = "opentelemetry-instrumentation-asgi"
-version = "0.44b0"
+version = "0.46b0"
description = "ASGI instrumentation for OpenTelemetry"
optional = false
python-versions = ">=3.8"
files = [
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opentelemetry-api = ">=1.12,<2.0"
-opentelemetry-instrumentation = "0.44b0"
-opentelemetry-semantic-conventions = "0.44b0"
-opentelemetry-util-http = "0.44b0"
+opentelemetry-instrumentation = "0.46b0"
+opentelemetry-semantic-conventions = "0.46b0"
+opentelemetry-util-http = "0.46b0"
[package.extras]
instruments = ["asgiref (>=3.0,<4.0)"]
-test = ["opentelemetry-instrumentation-asgi[instruments]", "opentelemetry-test-utils (==0.44b0)"]
[[package]]
name = "opentelemetry-instrumentation-fastapi"
-version = "0.44b0"
+version = "0.46b0"
description = "OpenTelemetry FastAPI Instrumentation"
optional = false
python-versions = ">=3.8"
files = [
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-opentelemetry-instrumentation-asgi = "0.44b0"
-opentelemetry-semantic-conventions = "0.44b0"
-opentelemetry-util-http = "0.44b0"
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+opentelemetry-instrumentation-asgi = "0.46b0"
+opentelemetry-semantic-conventions = "0.46b0"
+opentelemetry-util-http = "0.46b0"
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instruments = ["fastapi (>=0.58,<1.0)"]
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[[package]]
name = "opentelemetry-instrumentation-grpc"
-version = "0.44b0"
+version = "0.46b0"
description = "OpenTelemetry gRPC instrumentation"
optional = false
python-versions = ">=3.8"
files = [
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opentelemetry-api = ">=1.12,<2.0"
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-opentelemetry-sdk = ">=1.12,<2.0"
-opentelemetry-semantic-conventions = "0.44b0"
+opentelemetry-instrumentation = "0.46b0"
+opentelemetry-semantic-conventions = "0.46b0"
wrapt = ">=1.0.0,<2.0.0"
[package.extras]
instruments = ["grpcio (>=1.27,<2.0)"]
-test = ["opentelemetry-instrumentation-grpc[instruments]", "opentelemetry-sdk (>=1.12,<2.0)", "opentelemetry-test-utils (==0.44b0)", "protobuf (>=3.13,<4.0)"]
[[package]]
name = "opentelemetry-proto"
-version = "1.23.0"
+version = "1.25.0"
description = "OpenTelemetry Python Proto"
optional = false
python-versions = ">=3.8"
files = [
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[package.dependencies]
@@ -4229,40 +4511,43 @@ protobuf = ">=3.19,<5.0"
[[package]]
name = "opentelemetry-sdk"
-version = "1.23.0"
+version = "1.25.0"
description = "OpenTelemetry Python SDK"
optional = false
python-versions = ">=3.8"
files = [
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-opentelemetry-api = "1.23.0"
-opentelemetry-semantic-conventions = "0.44b0"
+opentelemetry-api = "1.25.0"
+opentelemetry-semantic-conventions = "0.46b0"
typing-extensions = ">=3.7.4"
[[package]]
name = "opentelemetry-semantic-conventions"
-version = "0.44b0"
+version = "0.46b0"
description = "OpenTelemetry Semantic Conventions"
optional = false
python-versions = ">=3.8"
files = [
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]
+[package.dependencies]
+opentelemetry-api = "1.25.0"
+
[[package]]
name = "opentelemetry-util-http"
-version = "0.44b0"
+version = "0.46b0"
description = "Web util for OpenTelemetry"
optional = false
python-versions = ">=3.8"
files = [
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[[package]]
@@ -4285,13 +4570,13 @@ tests = ["pytest", "pytest-cov", "pytest-pep8"]
[[package]]
name = "optimum"
-version = "1.17.1"
+version = "1.20.0"
description = "Optimum Library is an extension of the Hugging Face Transformers library, providing a framework to integrate third-party libraries from Hardware Partners and interface with their specific functionality."
optional = false
python-versions = ">=3.7.0"
files = [
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[package.dependencies]
@@ -4309,143 +4594,139 @@ packaging = "*"
protobuf = {version = ">=3.20.1", optional = true, markers = "extra == \"onnxruntime\""}
sympy = "*"
torch = ">=1.11"
-transformers = {version = ">=4.26.0", extras = ["sentencepiece"]}
+transformers = {version = ">=4.26.0,<4.42.0", extras = ["sentencepiece"]}
[package.extras]
amd = ["optimum-amd"]
benchmark = ["evaluate (>=0.2.0)", "optuna", "scikit-learn", "seqeval", "torchvision", "tqdm"]
-dev = ["Pillow", "accelerate", "black (>=23.1,<24.0)", "diffusers (>=0.17.0)", "einops", "invisible-watermark", "parameterized", "pytest", "pytest-xdist", "requests", "rjieba", "ruff (==0.1.5)", "sacremoses", "scikit-learn", "timm", "torchaudio", "torchvision"]
+dev = ["Pillow", "accelerate", "black (>=23.1,<24.0)", "diffusers (>=0.17.0)", "einops", "invisible-watermark", "parameterized", "pytest (<=8.0.0)", "pytest-xdist", "requests", "rjieba", "ruff (==0.1.5)", "sacremoses", "scikit-learn", "timm", "torchaudio", "torchvision"]
diffusers = ["diffusers"]
doc-build = ["accelerate"]
exporters = ["onnx", "onnxruntime", "timm"]
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python-versions = "*"
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@@ -7249,18 +7636,18 @@ telegram = ["requests"]
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name = "transformers"
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description = "State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow"
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python-versions = ">=3.8.0"
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protobuf = {version = "*", optional = true, markers = "extra == \"sentencepiece\""}
@@ -7269,23 +7656,21 @@ regex = "!=2019.12.17"
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tqdm = ">=4.27"
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ftfy = ["ftfy"]
integrations = ["optuna", "ray[tune] (>=2.7.0)", "sigopt"]
@@ -7295,7 +7680,7 @@ natten = ["natten (>=0.14.6,<0.15.0)"]
onnx = ["onnxconverter-common", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "tf2onnx"]
onnxruntime = ["onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)"]
optuna = ["optuna"]
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retrieval = ["datasets (!=2.5.0)", "faiss-cpu"]
sagemaker = ["sagemaker (>=2.31.0)"]
@@ -7304,16 +7689,16 @@ serving = ["fastapi", "pydantic", "starlette", "uvicorn"]
sigopt = ["sigopt"]
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]
[package.dependencies]
setuptools = "*"
[package.extras]
-docs = ["Sphinx", "repoze.sphinx.autointerface", "sphinx_rtd_theme"]
+docs = ["Sphinx", "repoze.sphinx.autointerface", "sphinx-rtd-theme"]
test = ["coverage (>=5.0.3)", "zope.event", "zope.testing"]
testing = ["coverage (>=5.0.3)", "zope.event", "zope.testing"]
[metadata]
lock-version = "2.0"
python-versions = ">=3.9,<3.12"
-content-hash = "37a493ac928b7298acd9a2ed72637a40dd7666f4091f014b988655e08e6f0015"
+content-hash = "e7c7cb8792c21f7c9f64454b4711f8e47e572a9cd9dc333adf922a5d3d5e1313"
diff --git a/proto/dataplane.proto b/proto/dataplane.proto
index ba11224ee..ee86462c2 100644
--- a/proto/dataplane.proto
+++ b/proto/dataplane.proto
@@ -1,5 +1,8 @@
syntax = "proto3";
+option java_package = "ex.grpc";
+option objc_class_prefix = "HSW";
+
package inference;
//
@@ -24,6 +27,9 @@ service GRPCInferenceService
// Perform inference using a specific model.
rpc ModelInfer(ModelInferRequest) returns (ModelInferResponse) {}
+
+ // Perform stream inference using a specific model.
+ rpc ModelStreamInfer(stream ModelInferRequest) returns (stream ModelInferResponse) {}
// Get the index of model repository contents.
rpc RepositoryIndex(RepositoryIndexRequest)
diff --git a/pyproject.toml b/pyproject.toml
index 079f5ed68..8d7cabf26 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,6 +1,6 @@
[tool.poetry]
name = "mlserver"
-version = "1.5.0.dev1"
+version = "1.6.0.dev2"
description = "MLServer"
authors = ["Seldon Technologies Ltd. <hello@seldon.io>"]
license = "Apache-2.0"
@@ -62,7 +62,8 @@ gevent = "*"
aiofiles = "*"
orjson = "*"
uvloop = {version = "*", markers = "sys_platform != 'win32' and (sys_platform != 'cygwin' and platform_python_implementation != 'PyPy')"}
-pydantic = "<2.0.0"
+pydantic = "2.7.1"
+pydantic-settings = "2.2.1"
python-multipart = "*"
## The importlib-resources backport is required to use some
@@ -74,35 +75,40 @@ opentelemetry-instrumentation-fastapi = ">=0.43b0"
opentelemetry-instrumentation-grpc = ">=0.43b0"
opentelemetry-exporter-otlp-proto-grpc = "^1.22.0"
+[tool.poetry.group.test.dependencies]
+tox = "4.16.0"
+
[tool.poetry.group.dev.dependencies]
datamodel-code-generator = "0.25.5"
grpcio-tools = "1.48.2"
pytest = "7.4.4"
pytest-asyncio = "0.21.1"
pytest-mock = "3.12.0"
-pytest-cases = "3.8.4"
-tox = "4.14.2"
-docker = "7.0.0"
-aiohttp = "3.9.3"
+pytest-cases = "3.8.5"
+pytest-lazy-fixture = "^0.6.3"
+tox = "4.16.0"
+docker = "7.1.0"
+aiohttp = "3.10.2"
aiohttp-retry = "2.8.3"
## Used for FastAPI Async testing
httpx = "0.27.0"
kafka-python = "2.0.2"
-tenacity = "8.2.3"
+tenacity = "8.4.1"
pyyaml = "6.0.1"
conda-pack = "0.7.1"
flake8 = "7.0.0"
flake8-black = "0.3.6"
-mypy = "1.9.0"
+mypy = "1.11.2"
mypy-protobuf = "3.1.0"
-types-protobuf = "4.24.0.20240129"
+types-protobuf = "5.26.0.20240422"
types-orjson = "3.6.2"
types-aiofiles = "23.2.0.20240106"
types-requests = "2.31.0.20240311"
-black = "24.3.0"
+black = "24.8.0"
pip-licenses = "4.4.0"
-pytest-xdist = "3.5.0"
+pytest-xdist = "3.6.1"
filelock = "^3.13.1"
+httpx-sse = ">=0.3.1,<0.5.0"
[tool.poetry.group.docker.dependencies]
protobuf = "3.20.3"
@@ -119,6 +125,7 @@ mlserver-mlflow = {path = "./runtimes/mlflow", develop = true}
mlserver-huggingface = {path = "./runtimes/huggingface", develop = true}
mlserver-alibi-explain = {path = "./runtimes/alibi-explain", develop = true}
mlserver-alibi-detect = {path = "./runtimes/alibi-detect", develop = true}
+mlserver-catboost = {path = "./runtimes/catboost", develop = true}
[tool.poetry.group.all-runtimes-dev]
optional = true
@@ -130,10 +137,10 @@ types-requests = ">=2.28.11.5,<2.32.0.0"
## Dev dependencies from MLflow
torch = "2.2.1"
-pytorch-lightning = "2.2.0.post0"
-torchmetrics = "1.3.1"
+pytorch-lightning = "2.3.1"
+torchmetrics = "1.4.0.post0"
torchvision = "0.17.1"
-mlflow = "2.11.1"
+mlflow = "2.13.1"
## Dev dependencies from HuggingFace
transformers = ">=4.30,<5.0"
@@ -147,10 +154,10 @@ sphinx_material = "0.0.36"
readthedocs-sphinx-search = "0.3.2"
myst-parser = "2.0.0"
sphinxcontrib-bibtex = "2.5.0"
-autodoc_pydantic = "1.9.0"
-sphinx-click = "5.1.0"
+autodoc_pydantic = "2.2.0"
+sphinx-click = "6.0.0"
sphinx_design = "0.4.1"
-sphinx-autobuild = "2024.2.4"
+sphinx-autobuild = "2024.4.16"
sphinx-copybutton = "^0.5.2"
[build-system]
diff --git a/runtimes/alibi-detect/mlserver_alibi_detect/runtime.py b/runtimes/alibi-detect/mlserver_alibi_detect/runtime.py
index 085191eb8..d746e6ac5 100644
--- a/runtimes/alibi-detect/mlserver_alibi_detect/runtime.py
+++ b/runtimes/alibi-detect/mlserver_alibi_detect/runtime.py
@@ -1,9 +1,10 @@
import os
import numpy as np
-from pydantic.error_wrappers import ValidationError
+from pydantic import ValidationError
from typing import Optional, List, Dict
-from pydantic import BaseSettings, Field
+from pydantic import Field
+from pydantic_settings import BaseSettings, SettingsConfigDict
from functools import cached_property
from alibi_detect.saving import load_detector
@@ -28,8 +29,9 @@ class AlibiDetectSettings(BaseSettings):
Parameters that apply only to alibi detect models
"""
- class Config:
- env_prefix = ENV_PREFIX_ALIBI_DETECT_SETTINGS
+ model_config = SettingsConfigDict(
+ env_prefix=ENV_PREFIX_ALIBI_DETECT_SETTINGS,
+ )
predict_parameters: dict = {}
"""
diff --git a/runtimes/alibi-detect/mlserver_alibi_detect/version.py b/runtimes/alibi-detect/mlserver_alibi_detect/version.py
index b7b669e38..a744fe1e9 100644
--- a/runtimes/alibi-detect/mlserver_alibi_detect/version.py
+++ b/runtimes/alibi-detect/mlserver_alibi_detect/version.py
@@ -1 +1 @@
-__version__ = "1.5.0.dev1"
+__version__ = "1.6.0.dev2"
diff --git a/runtimes/alibi-detect/poetry.lock b/runtimes/alibi-detect/poetry.lock
index 79c289be8..ad4cd4335 100644
--- a/runtimes/alibi-detect/poetry.lock
+++ b/runtimes/alibi-detect/poetry.lock
@@ -1,4 +1,4 @@
-# This file is automatically @generated by Poetry 1.8.2 and should not be changed by hand.
+# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand.
[[package]]
name = "absl-py"
@@ -22,92 +22,104 @@ files = [
{file = "aiofiles-23.2.1.tar.gz", hash = "sha256:84ec2218d8419404abcb9f0c02df3f34c6e0a68ed41072acfb1cef5cbc29051a"},
]
+[[package]]
+name = "aiohappyeyeballs"
+version = "2.3.5"
+description = "Happy Eyeballs for asyncio"
+optional = false
+python-versions = ">=3.8"
+files = [
+ {file = "aiohappyeyeballs-2.3.5-py3-none-any.whl", hash = "sha256:4d6dea59215537dbc746e93e779caea8178c866856a721c9c660d7a5a7b8be03"},
+ {file = "aiohappyeyeballs-2.3.5.tar.gz", hash = "sha256:6fa48b9f1317254f122a07a131a86b71ca6946ca989ce6326fff54a99a920105"},
+]
+
[[package]]
name = "aiohttp"
-version = "3.9.3"
+version = "3.10.2"
description = "Async http client/server framework (asyncio)"
optional = false
python-versions = ">=3.8"
files = [
- {file = "aiohttp-3.9.3-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:939677b61f9d72a4fa2a042a5eee2a99a24001a67c13da113b2e30396567db54"},
- {file = "aiohttp-3.9.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:1f5cd333fcf7590a18334c90f8c9147c837a6ec8a178e88d90a9b96ea03194cc"},
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yarl = ">=1.0,<2.0"
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name = "aiokafka"
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sftp = ["paramiko"]
smb = ["smbprotocol"]
ssh = ["paramiko"]
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@@ -1926,12 +1943,15 @@ cycler = ">=0.10"
fonttools = ">=4.22.0"
importlib-resources = {version = ">=3.2.0", markers = "python_version < \"3.10\""}
kiwisolver = ">=1.3.1"
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packaging = ">=20.0"
pillow = ">=8"
pyparsing = ">=2.3.1"
python-dateutil = ">=2.7"
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+
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name = "ml-dtypes"
version = "0.2.0"
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[[package]]
name = "mlserver"
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+version = "1.6.0.dev2"
description = "MLServer"
optional = false
python-versions = ">=3.9,<3.12"
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gevent = "*"
geventhttpclient = "*"
grpcio = "*"
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numpy = "*"
opentelemetry-exporter-otlp-proto-grpc = "^1.22.0"
opentelemetry-instrumentation-fastapi = ">=0.43b0"
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pandas = "*"
protobuf = "*"
py-grpc-prometheus = "*"
-pydantic = "<2.0.0"
+pydantic = "2.7.1"
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python-dotenv = "*"
python-multipart = "*"
starlette-exporter = "*"
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python-versions = ">=3.8"
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name = "zope-event"
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[[package]]
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]
[package.dependencies]
setuptools = "*"
[package.extras]
-docs = ["Sphinx", "repoze.sphinx.autointerface", "sphinx_rtd_theme"]
+docs = ["Sphinx", "repoze.sphinx.autointerface", "sphinx-rtd-theme"]
test = ["coverage (>=5.0.3)", "zope.event", "zope.testing"]
testing = ["coverage (>=5.0.3)", "zope.event", "zope.testing"]
[metadata]
lock-version = "2.0"
python-versions = ">=3.9,<3.12"
-content-hash = "857d02810c539d6c57c64ad82e541ba8c6e3e1c229263d02e6d6e26ccc53b8de"
+content-hash = "3c3d61378dd87a60cd1b1e03389336c42c74152a0ae2f228b70de1185978300e"
diff --git a/runtimes/alibi-detect/pyproject.toml b/runtimes/alibi-detect/pyproject.toml
index 83dc97803..8f6bbec13 100644
--- a/runtimes/alibi-detect/pyproject.toml
+++ b/runtimes/alibi-detect/pyproject.toml
@@ -1,6 +1,6 @@
[tool.poetry]
name = "mlserver-alibi-detect"
-version = "1.5.0.dev1"
+version = "1.6.0.dev2"
description = "Alibi-Detect runtime for MLServer"
authors = ["Seldon Technologies Ltd. <hello@seldon.io>"]
license = "Apache-2.0"
@@ -11,7 +11,7 @@ packages = [{include = "mlserver_alibi_detect"}]
python = ">=3.9,<3.12"
mlserver = "*"
alibi-detect = {extras = ["tensorflow"], version = "*"}
-pydantic = "<2.0.0"
+pydantic = "2.7.1"
[tool.poetry.group.dev.dependencies]
mlserver = {path = "../..", develop = true}
diff --git a/runtimes/alibi-detect/tests/test_drift_detector.py b/runtimes/alibi-detect/tests/test_drift_detector.py
index 08cfdd862..13f0fb062 100644
--- a/runtimes/alibi-detect/tests/test_drift_detector.py
+++ b/runtimes/alibi-detect/tests/test_drift_detector.py
@@ -53,6 +53,9 @@ async def test_predict_batch(drift_detector: AlibiDetectRuntime, mocker):
# Mock detector
mocked_predict = mocker.patch.object(drift_detector._model, "predict")
+ # Set the return value of the mocked predict method
+ mocked_predict.return_value = {"data": {}, "meta": {}}
+
# For #(batch - 1) requests, outputs should be empty
batch_size = drift_detector._ad_settings.batch_size
expected = np.random.randint(10, size=(batch_size, 3)) # type: ignore
diff --git a/runtimes/alibi-detect/tox.ini b/runtimes/alibi-detect/tox.ini
index 026940b6f..bc9e828df 100644
--- a/runtimes/alibi-detect/tox.ini
+++ b/runtimes/alibi-detect/tox.ini
@@ -4,7 +4,7 @@ isolated_build = true
[testenv]
allowlist_externals = poetry
commands_pre =
- poetry install --sync --no-root
+ poetry install --sync --no-root
poetry install -C {toxinidir}/../../
commands =
python -m pytest {posargs} -n auto \
diff --git a/runtimes/alibi-explain/mlserver_alibi_explain/common.py b/runtimes/alibi-explain/mlserver_alibi_explain/common.py
index 1d2dcbdcb..66530f2e5 100644
--- a/runtimes/alibi-explain/mlserver_alibi_explain/common.py
+++ b/runtimes/alibi-explain/mlserver_alibi_explain/common.py
@@ -4,7 +4,7 @@
import numpy as np
import requests
-from pydantic import BaseSettings
+from pydantic_settings import BaseSettings, SettingsConfigDict
from mlserver.codecs import StringCodec, NumpyCodec
from mlserver.types import (
@@ -56,7 +56,7 @@ def remote_predict(
verify = ssl_verify_path
response_raw = requests.post(
predictor_url,
- json=v2_payload.dict(),
+ json=v2_payload.model_dump(),
headers={SELDON_SKIP_LOGGING_HEADER: "true"},
verify=verify,
)
@@ -86,17 +86,18 @@ class AlibiExplainSettings(BaseSettings):
Parameters that apply only to alibi explain models
"""
- class Config:
- env_prefix = ENV_PREFIX_ALIBI_EXPLAIN_SETTINGS
+ model_config = SettingsConfigDict(
+ env_prefix=ENV_PREFIX_ALIBI_EXPLAIN_SETTINGS,
+ )
infer_uri: str
explainer_type: str
explainer_batch: Optional[bool] = False
# In cases where the inference model can output multiple fields and
# we are interested in a specific field for explanation
- infer_output: Optional[str]
- init_parameters: Optional[dict]
- ssl_verify_path: Optional[str]
+ infer_output: Optional[str] = None
+ init_parameters: Optional[dict] = None
+ ssl_verify_path: Optional[str] = None
def import_and_get_class(class_path: str) -> type:
@@ -144,8 +145,15 @@ def to_v2_inference_request(
input_name = metadata.inputs[0].name
if metadata.outputs:
if not output:
- default_outputs = [metadata.outputs[0]]
-
+ default_outputs = [
+ {
+ "name": metadata.outputs[0].name,
+ "parameters": metadata.outputs[0].parameters,
+ },
+ ]
+
+ print(outputs)
+ print(default_outputs)
# For List[str] (e.g. AnchorText), we use StringCodec for input
input_payload_codec = StringCodec if isinstance(input_data, list) else NumpyCodec
v2_request = InferenceRequest(
diff --git a/runtimes/alibi-explain/mlserver_alibi_explain/runtime.py b/runtimes/alibi-explain/mlserver_alibi_explain/runtime.py
index c5eddd347..9fc842eed 100644
--- a/runtimes/alibi-explain/mlserver_alibi_explain/runtime.py
+++ b/runtimes/alibi-explain/mlserver_alibi_explain/runtime.py
@@ -106,7 +106,7 @@ async def _async_explain_impl(
) -> ResponseOutput:
explain_parameters = dict()
if settings is not None:
- settings_dict = settings.dict()
+ settings_dict = settings.model_dump()
if EXPLAIN_PARAMETERS_TAG in settings_dict:
explain_parameters = settings_dict[EXPLAIN_PARAMETERS_TAG]
diff --git a/runtimes/alibi-explain/mlserver_alibi_explain/version.py b/runtimes/alibi-explain/mlserver_alibi_explain/version.py
index b7b669e38..a744fe1e9 100644
--- a/runtimes/alibi-explain/mlserver_alibi_explain/version.py
+++ b/runtimes/alibi-explain/mlserver_alibi_explain/version.py
@@ -1 +1 @@
-__version__ = "1.5.0.dev1"
+__version__ = "1.6.0.dev2"
diff --git a/runtimes/alibi-explain/poetry.lock b/runtimes/alibi-explain/poetry.lock
index 8aebe62bb..dca1c44fe 100644
--- a/runtimes/alibi-explain/poetry.lock
+++ b/runtimes/alibi-explain/poetry.lock
@@ -1,4 +1,4 @@
-# This file is automatically @generated by Poetry 1.7.1 and should not be changed by hand.
+# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand.
[[package]]
name = "absl-py"
@@ -24,87 +24,87 @@ files = [
[[package]]
name = "aiohttp"
-version = "3.9.3"
+version = "3.9.5"
description = "Async http client/server framework (asyncio)"
optional = false
python-versions = ">=3.8"
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[[package]]
name = "alibi"
-version = "0.9.5"
+version = "0.9.6"
description = "Algorithms for monitoring and explaining machine learning models"
optional = false
python-versions = ">=3.8"
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blis = "<0.8.0"
dill = ">=0.3.0,<0.4.0"
matplotlib = ">=3.0.0,<4.0.0"
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pandas = ">=1.0.0,<3.0.0"
Pillow = ">=5.4.1,<11.0"
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requests = ">=2.21.0,<3.0.0"
scikit-image = ">=0.17.2,<0.23"
scikit-learn = ">=1.0.0,<2.0.0"
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typing-extensions = ">=3.7.4.3"
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smb = ["smbprotocol"]
ssh = ["paramiko"]
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kiwisolver = ">=1.3.1"
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packaging = ">=20.0"
pillow = ">=8"
pyparsing = ">=2.3.1"
python-dateutil = ">=2.7"
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+
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[[package]]
name = "mlserver"
-version = "1.5.0.dev1"
+version = "1.6.0.dev2"
description = "MLServer"
optional = false
python-versions = ">=3.9,<3.12"
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gevent = "*"
geventhttpclient = "*"
grpcio = "*"
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numpy = "*"
opentelemetry-exporter-otlp-proto-grpc = "^1.22.0"
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pandas = "*"
protobuf = "*"
py-grpc-prometheus = "*"
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python-dotenv = "*"
python-multipart = "*"
starlette-exporter = "*"
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name = "mlserver-lightgbm"
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description = "LightGBM runtime for MLServer"
optional = false
python-versions = ">=3.9,<3.12"
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lightgbm = "*"
mlserver = "*"
pandas = "*"
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[package.source]
type = "directory"
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[[package]]
name = "mlserver-sklearn"
-version = "1.5.0.dev1"
+version = "1.6.0.dev2"
description = "Scikit-Learn runtime for MLServer"
optional = false
python-versions = ">=3.9,<3.12"
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joblib = "*"
mlserver = "*"
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scikit-learn = "*"
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[[package]]
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description = "XGBoost runtime for MLServer"
optional = false
python-versions = ">=3.9,<3.12"
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mlserver = "*"
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xgboost = {version = "*", extras = ["scikit-learn"]}
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name = "opentelemetry-api"
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+version = "1.25.0"
description = "OpenTelemetry Python API"
optional = false
python-versions = ">=3.8"
files = [
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name = "opentelemetry-exporter-otlp-proto-common"
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python-versions = ">=3.8"
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optional = false
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python-versions = ">=3.8"
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name = "opentelemetry-proto"
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description = "OpenTelemetry Python Proto"
optional = false
python-versions = ">=3.8"
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@@ -2958,101 +3115,192 @@ setuptools = ">=39.0.1"
[[package]]
name = "pyasn1"
-version = "0.5.1"
+version = "0.6.0"
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name = "shap"
@@ -3745,6 +4002,17 @@ plots = ["ipython", "matplotlib"]
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test-core = ["pytest", "pytest-cov", "pytest-mpl"]
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+name = "shellingham"
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name = "smart-open"
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+version = "7.0.4"
description = "Utils for streaming large files (S3, HDFS, GCS, Azure Blob Storage, gzip, bz2...)"
optional = false
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azure = ["azure-common", "azure-core", "azure-storage-blob"]
gcs = ["google-cloud-storage (>=2.6.0)"]
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s3 = ["boto3"]
ssh = ["paramiko"]
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webhdfs = ["requests"]
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[[package]]
name = "sniffio"
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spacy-legacy = ">=3.0.11,<3.1.0"
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thinc = ">=8.2.2,<8.3.0"
tqdm = ">=4.38.0,<5.0.0"
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apple = ["thinc-apple-ops (>=0.1.0.dev0,<1.0.0)"]
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[[package]]
name = "starlette-exporter"
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description = "Prometheus metrics exporter for Starlette applications."
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python-versions = ">=3.8"
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sklearn = ["scikit-learn"]
speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)", "torchaudio"]
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torch-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)", "torchaudio"]
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vision = ["Pillow (>=10.0.1,<=15.0)"]
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python-versions = "*"
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name = "typer"
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description = "Typer, build great CLIs. Easy to code. Based on Python type hints."
optional = false
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typing-extensions = ">=3.7.4.3"
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name = "types-requests"
version = "2.28.11.17"
@@ -4541,13 +4799,13 @@ files = [
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name = "typing-extensions"
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description = "Backported and Experimental Type Hints for Python 3.8+"
optional = false
python-versions = ">=3.8"
files = [
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@@ -4580,13 +4838,13 @@ zstd = ["zstandard (>=0.18.0)"]
[[package]]
name = "uvicorn"
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+version = "0.30.1"
description = "The lightning-fast ASGI server."
optional = false
python-versions = ">=3.8"
files = [
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@@ -4643,13 +4901,13 @@ test = ["Cython (>=0.29.36,<0.30.0)", "aiohttp (==3.9.0b0)", "aiohttp (>=3.8.1)"
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name = "wasabi"
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description = "A lightweight console printing and formatting toolkit"
optional = false
python-versions = ">=3.6"
files = [
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@@ -4657,35 +4915,35 @@ colorama = {version = ">=0.4.6", markers = "sys_platform == \"win32\" and python
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name = "weasel"
-version = "0.3.4"
+version = "0.4.1"
description = "Weasel: A small and easy workflow system"
optional = false
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files = [
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packaging = ">=20.0"
pydantic = ">=1.7.4,<1.8 || >1.8,<1.8.1 || >1.8.1,<3.0.0"
requests = ">=2.13.0,<3.0.0"
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srsly = ">=2.4.3,<3.0.0"
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wasabi = ">=0.9.1,<1.2.0"
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name = "werkzeug"
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description = "The comprehensive WSGI web application library."
optional = false
python-versions = ">=3.8"
files = [
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@@ -4696,13 +4954,13 @@ watchdog = ["watchdog (>=2.3)"]
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name = "wheel"
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+version = "0.43.0"
description = "A built-package format for Python"
optional = false
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files = [
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@@ -4924,18 +5182,18 @@ multidict = ">=4.0"
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name = "zipp"
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description = "Backport of pathlib-compatible object wrapper for zip files"
optional = false
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name = "zope-event"
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[[package]]
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optional = false
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]
[package.dependencies]
setuptools = "*"
[package.extras]
-docs = ["Sphinx", "repoze.sphinx.autointerface", "sphinx_rtd_theme"]
+docs = ["Sphinx", "repoze.sphinx.autointerface", "sphinx-rtd-theme"]
test = ["coverage (>=5.0.3)", "zope.event", "zope.testing"]
testing = ["coverage (>=5.0.3)", "zope.event", "zope.testing"]
[metadata]
lock-version = "2.0"
python-versions = ">=3.9,<3.12"
-content-hash = "50d4e7025f9bb534fe2d955943040782ca38a9fe0390d39db736fbcf48eab3af"
+content-hash = "e690f6778aaeeeb1531cabd7d8f5ec01c6072850d4023c2b919dc1732850810b"
diff --git a/runtimes/alibi-explain/pyproject.toml b/runtimes/alibi-explain/pyproject.toml
index f6476c2db..117d8622b 100644
--- a/runtimes/alibi-explain/pyproject.toml
+++ b/runtimes/alibi-explain/pyproject.toml
@@ -1,6 +1,6 @@
[tool.poetry]
name = "mlserver-alibi-explain"
-version = "1.5.0.dev1"
+version = "1.6.0.dev2"
description = "Alibi-Explain runtime for MLServer"
authors = ["Seldon Technologies Ltd. <hello@seldon.io>"]
license = "Apache-2.0"
@@ -15,7 +15,7 @@ mlserver_xgboost = "*"
mlserver_lightgbm = "*"
orjson = "*"
alibi = {extras = ["shap", "tensorflow"], version = "*"}
-pydantic = "<2.0.0"
+pydantic = "2.7.1"
[tool.poetry.group.dev.dependencies]
mlserver = {path = "../..", develop = true}
diff --git a/runtimes/alibi-explain/tests/conftest.py b/runtimes/alibi-explain/tests/conftest.py
index 5372bcba8..3bd9a12ea 100644
--- a/runtimes/alibi-explain/tests/conftest.py
+++ b/runtimes/alibi-explain/tests/conftest.py
@@ -267,7 +267,7 @@ async def anchor_image_runtime_with_remote_predict_patch(
uri=str(anchor_image_directory),
extra=AlibiExplainSettings(
explainer_type="anchor_image", infer_uri="dummy_call"
- ),
+ ).model_dump(),
),
)
)
@@ -289,7 +289,7 @@ async def integrated_gradients_runtime(tf_mnist_model_uri: str) -> AlibiExplainR
ModelSettings(
parallel_workers=1,
implementation=AlibiExplainRuntime,
- parameters=ModelParameters(extra=explainer_settings.dict()),
+ parameters=ModelParameters(extra=explainer_settings.model_dump()),
)
)
assert isinstance(rt, MLModel)
@@ -332,7 +332,7 @@ def _explain_impl(
parameters=ModelParameters(
extra=AlibiExplainSettings(
explainer_type="anchor_image", infer_uri="dummy_call"
- ),
+ ).model_dump(),
),
)
diff --git a/runtimes/alibi-explain/tests/helpers/utils.py b/runtimes/alibi-explain/tests/helpers/utils.py
index b1f36d237..13a9db210 100644
--- a/runtimes/alibi-explain/tests/helpers/utils.py
+++ b/runtimes/alibi-explain/tests/helpers/utils.py
@@ -111,7 +111,7 @@ def build_test_case(
else:
init_params = init_kwargs.copy()
alibi_explain_settings["init_parameters"] = init_params
- model_params["extra"] = AlibiExplainSettings(**alibi_explain_settings)
+ model_params["extra"] = AlibiExplainSettings(**alibi_explain_settings).model_dump()
model_settings = ModelSettings(
name="foo",
diff --git a/runtimes/alibi-explain/tests/test_alibi_runtime_base.py b/runtimes/alibi-explain/tests/test_alibi_runtime_base.py
index 445a1fae2..4412da824 100644
--- a/runtimes/alibi-explain/tests/test_alibi_runtime_base.py
+++ b/runtimes/alibi-explain/tests/test_alibi_runtime_base.py
@@ -200,7 +200,7 @@ async def test_custom_explain_endpoint(dummy_alibi_explain_client):
)
response = await dummy_alibi_explain_client.post(
- "/explain", json=inference_request.dict()
+ "/explain", json=inference_request.model_dump()
)
response_text = json.loads(response.text)
assert "meta" in response_text
diff --git a/runtimes/alibi-explain/tests/test_common.py b/runtimes/alibi-explain/tests/test_common.py
index d57b05c93..fcdf19d4c 100644
--- a/runtimes/alibi-explain/tests/test_common.py
+++ b/runtimes/alibi-explain/tests/test_common.py
@@ -40,7 +40,7 @@ def test_remote_predict(requests_mock):
requests_mock.post(
uri,
- text=inference_response.json(),
+ text=inference_response.model_dump_json(),
request_headers={SELDON_SKIP_LOGGING_HEADER: "true"},
)
res = remote_predict(inference_request, uri, True)
diff --git a/runtimes/alibi-explain/tox.ini b/runtimes/alibi-explain/tox.ini
index 026940b6f..bc9e828df 100644
--- a/runtimes/alibi-explain/tox.ini
+++ b/runtimes/alibi-explain/tox.ini
@@ -4,7 +4,7 @@ isolated_build = true
[testenv]
allowlist_externals = poetry
commands_pre =
- poetry install --sync --no-root
+ poetry install --sync --no-root
poetry install -C {toxinidir}/../../
commands =
python -m pytest {posargs} -n auto \
diff --git a/runtimes/catboost/mlserver_catboost/version.py b/runtimes/catboost/mlserver_catboost/version.py
index b7b669e38..a744fe1e9 100644
--- a/runtimes/catboost/mlserver_catboost/version.py
+++ b/runtimes/catboost/mlserver_catboost/version.py
@@ -1 +1 @@
-__version__ = "1.5.0.dev1"
+__version__ = "1.6.0.dev2"
diff --git a/runtimes/catboost/poetry.lock b/runtimes/catboost/poetry.lock
index 082f8b1dd..a11f407d4 100644
--- a/runtimes/catboost/poetry.lock
+++ b/runtimes/catboost/poetry.lock
@@ -1,4 +1,4 @@
-# This file is automatically @generated by Poetry 1.8.2 and should not be changed by hand.
+# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand.
[[package]]
name = "aiofiles"
@@ -11,92 +11,104 @@ files = [
{file = "aiofiles-23.2.1.tar.gz", hash = "sha256:84ec2218d8419404abcb9f0c02df3f34c6e0a68ed41072acfb1cef5cbc29051a"},
]
+[[package]]
+name = "aiohappyeyeballs"
+version = "2.3.5"
+description = "Happy Eyeballs for asyncio"
+optional = false
+python-versions = ">=3.8"
+files = [
+ {file = "aiohappyeyeballs-2.3.5-py3-none-any.whl", hash = "sha256:4d6dea59215537dbc746e93e779caea8178c866856a721c9c660d7a5a7b8be03"},
+ {file = "aiohappyeyeballs-2.3.5.tar.gz", hash = "sha256:6fa48b9f1317254f122a07a131a86b71ca6946ca989ce6326fff54a99a920105"},
+]
+
[[package]]
name = "aiohttp"
-version = "3.9.3"
+version = "3.10.2"
description = "Async http client/server framework (asyncio)"
optional = false
python-versions = ">=3.8"
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aiosignal = ">=1.1.2"
async-timeout = {version = ">=4.0,<5.0", markers = "python_version < \"3.11\""}
attrs = ">=17.3.0"
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yarl = ">=1.0,<2.0"
[package.extras]
-speedups = ["Brotli", "aiodns", "brotlicffi"]
+speedups = ["Brotli", "aiodns (>=3.2.0)", "brotlicffi"]
[[package]]
name = "aiokafka"
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[package.dependencies]
frozenlist = ">=1.1.0"
+[[package]]
+name = "annotated-types"
+version = "0.7.0"
+description = "Reusable constraint types to use with typing.Annotated"
+optional = false
+python-versions = ">=3.8"
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+
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name = "anyio"
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description = "High level compatibility layer for multiple asynchronous event loop implementations"
optional = false
python-versions = ">=3.8"
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[[package]]
name = "asgiref"
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+version = "3.8.1"
description = "ASGI specs, helper code, and adapters"
optional = false
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fonttools = ">=4.22.0"
importlib-resources = {version = ">=3.2.0", markers = "python_version < \"3.10\""}
kiwisolver = ">=1.3.1"
-numpy = ">=1.21,<2"
+numpy = ">=1.23"
packaging = ">=20.0"
pillow = ">=8"
pyparsing = ">=2.3.1"
python-dateutil = ">=2.7"
+[package.extras]
+dev = ["meson-python (>=0.13.1)", "numpy (>=1.25)", "pybind11 (>=2.6)", "setuptools (>=64)", "setuptools_scm (>=7)"]
+
[[package]]
name = "mlserver"
-version = "1.5.0.dev1"
+version = "1.6.0.dev2"
description = "MLServer"
optional = false
python-versions = ">=3.9,<3.12"
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gevent = "*"
geventhttpclient = "*"
grpcio = "*"
-importlib-resources = "^5.12.0"
+importlib-resources = ">=5.12,<7.0"
numpy = "*"
opentelemetry-exporter-otlp-proto-grpc = "^1.22.0"
opentelemetry-instrumentation-fastapi = ">=0.43b0"
@@ -1346,7 +1365,8 @@ orjson = "*"
pandas = "*"
protobuf = "*"
py-grpc-prometheus = "*"
-pydantic = "<2.0.0"
+pydantic = "2.7.1"
+pydantic-settings = "2.2.1"
python-dotenv = "*"
python-multipart = "*"
starlette-exporter = "*"
@@ -1504,42 +1524,42 @@ files = [
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name = "opentelemetry-api"
-version = "1.23.0"
+version = "1.25.0"
description = "OpenTelemetry Python API"
optional = false
python-versions = ">=3.8"
files = [
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[[package]]
name = "opentelemetry-exporter-otlp-proto-common"
-version = "1.23.0"
+version = "1.25.0"
description = "OpenTelemetry Protobuf encoding"
optional = false
python-versions = ">=3.8"
files = [
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+opentelemetry-proto = "1.25.0"
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name = "opentelemetry-exporter-otlp-proto-grpc"
-version = "1.23.0"
+version = "1.25.0"
description = "OpenTelemetry Collector Protobuf over gRPC Exporter"
optional = false
python-versions = ">=3.8"
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grpcio = ">=1.0.0,<2.0.0"
opentelemetry-api = ">=1.15,<2.0"
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-opentelemetry-proto = "1.23.0"
-opentelemetry-sdk = ">=1.23.0,<1.24.0"
-
-[package.extras]
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+opentelemetry-exporter-otlp-proto-common = "1.25.0"
+opentelemetry-proto = "1.25.0"
+opentelemetry-sdk = ">=1.25.0,<1.26.0"
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name = "opentelemetry-instrumentation"
-version = "0.44b0"
+version = "0.46b0"
description = "Instrumentation Tools & Auto Instrumentation for OpenTelemetry Python"
optional = false
python-versions = ">=3.8"
files = [
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[[package]]
name = "opentelemetry-instrumentation-asgi"
-version = "0.44b0"
+version = "0.46b0"
description = "ASGI instrumentation for OpenTelemetry"
optional = false
python-versions = ">=3.8"
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opentelemetry-api = ">=1.12,<2.0"
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-opentelemetry-semantic-conventions = "0.44b0"
-opentelemetry-util-http = "0.44b0"
+opentelemetry-instrumentation = "0.46b0"
+opentelemetry-semantic-conventions = "0.46b0"
+opentelemetry-util-http = "0.46b0"
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[[package]]
name = "opentelemetry-instrumentation-fastapi"
-version = "0.44b0"
+version = "0.46b0"
description = "OpenTelemetry FastAPI Instrumentation"
optional = false
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]
[package.dependencies]
setuptools = "*"
[package.extras]
-docs = ["Sphinx", "repoze.sphinx.autointerface", "sphinx_rtd_theme"]
+docs = ["Sphinx", "repoze.sphinx.autointerface", "sphinx-rtd-theme"]
test = ["coverage (>=5.0.3)", "zope.event", "zope.testing"]
testing = ["coverage (>=5.0.3)", "zope.event", "zope.testing"]
[metadata]
lock-version = "2.0"
python-versions = ">=3.9,<3.12"
-content-hash = "f10ae9eb28557c91ab5ac2b48d0503f131b5628bd6c6cc96e188edf712d32694"
+content-hash = "bf8c8d38dab64c13ba0ddd2273833fcd9f7a9aecc16b976935ba37257af4f0d7"
diff --git a/runtimes/catboost/pyproject.toml b/runtimes/catboost/pyproject.toml
index e1141d1e6..e3d4d7ee9 100644
--- a/runtimes/catboost/pyproject.toml
+++ b/runtimes/catboost/pyproject.toml
@@ -1,6 +1,6 @@
[tool.poetry]
name = "mlserver-catboost"
-version = "1.5.0.dev1"
+version = "1.6.0.dev2"
description = "Catboost runtime for MLServer"
authors = ["Theofilos Papapanagiotou <theofilos@gmail.com>"]
maintainers = ["Seldon Technologies Ltd. <hello@seldon.io>"]
@@ -13,7 +13,6 @@ python = ">=3.9,<3.12"
catboost = "*"
joblib = "*"
mlserver = "*"
-pydantic = "<2.0.0"
[tool.poetry.group.dev.dependencies]
mlserver = {path = "../..", develop = true}
diff --git a/runtimes/catboost/tox.ini b/runtimes/catboost/tox.ini
index 21f3266d4..bc9e828df 100644
--- a/runtimes/catboost/tox.ini
+++ b/runtimes/catboost/tox.ini
@@ -4,8 +4,8 @@ isolated_build = true
[testenv]
allowlist_externals = poetry
commands_pre =
- poetry install --sync --no-root
+ poetry install --sync --no-root
poetry install -C {toxinidir}/../../
commands =
- python -m pytest {posargs} \
+ python -m pytest {posargs} -n auto \
{toxinidir}/tests
diff --git a/runtimes/huggingface/mlserver_huggingface/codecs/conversation.py b/runtimes/huggingface/mlserver_huggingface/codecs/conversation.py
index 3e31999f5..f8bf04494 100644
--- a/runtimes/huggingface/mlserver_huggingface/codecs/conversation.py
+++ b/runtimes/huggingface/mlserver_huggingface/codecs/conversation.py
@@ -36,7 +36,7 @@ def encode_output(
@classmethod
def decode_output(cls, response_output: ResponseOutput) -> List[Any]:
- packed = response_output.data.__root__
+ packed = response_output.data
return [json_decode(item) for item in packed]
@classmethod
@@ -56,5 +56,5 @@ def encode_input(
@classmethod
def decode_input(cls, request_input: RequestInput) -> List[Conversation]:
- packed = request_input.data.__root__
+ packed = request_input.data
return [json_decode(item) for item in packed]
diff --git a/runtimes/huggingface/mlserver_huggingface/codecs/image.py b/runtimes/huggingface/mlserver_huggingface/codecs/image.py
index 2f2d73a4d..487d8847d 100644
--- a/runtimes/huggingface/mlserver_huggingface/codecs/image.py
+++ b/runtimes/huggingface/mlserver_huggingface/codecs/image.py
@@ -26,7 +26,7 @@ def _pil_base64decode(imgbytes: Union[bytes, str]) -> "Image.Image":
@register_input_codec
class PILImageCodec(InputCodec):
"""
- Codec that convers to / from a PIL.Image input.
+ Codec that converts to / from a PIL.Image.Image input.
"""
ContentType = "pillow_image"
@@ -53,13 +53,13 @@ def encode_output(
)
@classmethod
- def decode_output(cls, response_output: ResponseOutput) -> List[bytes]:
- packed = response_output.data.__root__
+ def decode_output(cls, response_output: ResponseOutput) -> List["Image.Image"]:
+ packed = response_output.data.root
return list(map(_pil_base64decode, as_list(packed)))
@classmethod
def encode_input(
- cls, name: str, payload: List[bytes], use_bytes: bool = True, **kwargs
+ cls, name: str, payload: List[Image.Image], use_bytes: bool = True, **kwargs
) -> RequestInput:
output = cls.encode_output(name, payload, use_bytes)
return RequestInput(
@@ -73,6 +73,6 @@ def encode_input(
)
@classmethod
- def decode_input(cls, request_input: RequestInput) -> List[bytes]:
- packed = request_input.data.__root__
+ def decode_input(cls, request_input: RequestInput) -> List["Image.Image"]:
+ packed = request_input.data.root
return list(map(_pil_base64decode, as_list(packed)))
diff --git a/runtimes/huggingface/mlserver_huggingface/codecs/json.py b/runtimes/huggingface/mlserver_huggingface/codecs/json.py
index 4947fabd4..7334ce813 100644
--- a/runtimes/huggingface/mlserver_huggingface/codecs/json.py
+++ b/runtimes/huggingface/mlserver_huggingface/codecs/json.py
@@ -33,7 +33,7 @@ def encode_output(
@classmethod
def decode_output(cls, response_output: ResponseOutput) -> Dict[Any, Any]:
- packed = response_output.data.__root__
+ packed = response_output.data
return json_decode(packed[0])
@classmethod
@@ -53,5 +53,5 @@ def encode_input(
@classmethod
def decode_input(cls, request_input: RequestInput) -> List[bytes]:
- packed = request_input.data.__root__
+ packed = request_input.data
return json_decode(packed[0])
diff --git a/runtimes/huggingface/mlserver_huggingface/codecs/jsonlist.py b/runtimes/huggingface/mlserver_huggingface/codecs/jsonlist.py
index 3996f4efe..f915d6268 100644
--- a/runtimes/huggingface/mlserver_huggingface/codecs/jsonlist.py
+++ b/runtimes/huggingface/mlserver_huggingface/codecs/jsonlist.py
@@ -36,7 +36,7 @@ def encode_output(
@classmethod
def decode_output(cls, response_output: ResponseOutput) -> List[Dict[Any, Any]]:
- packed = response_output.data.__root__
+ packed = response_output.data
return [json_decode(el) for el in packed]
@classmethod
@@ -56,5 +56,5 @@ def encode_input(
@classmethod
def decode_input(cls, request_input: RequestInput) -> List[Dict[Any, Any]]:
- packed = request_input.data.__root__
+ packed = request_input.data
return [json_decode(el) for el in packed]
diff --git a/runtimes/huggingface/mlserver_huggingface/codecs/utils.py b/runtimes/huggingface/mlserver_huggingface/codecs/utils.py
index ae1e66b1d..edc50e6f6 100644
--- a/runtimes/huggingface/mlserver_huggingface/codecs/utils.py
+++ b/runtimes/huggingface/mlserver_huggingface/codecs/utils.py
@@ -119,6 +119,7 @@ def convert_list(cls, list_data: List[Any]):
class EqualUtil:
+ @staticmethod
def pil_equal(img1: "Image.Image", img2: "Image.Image") -> bool:
diff = ImageChops.difference(img1, img2)
if diff.getbbox() is None:
diff --git a/runtimes/huggingface/mlserver_huggingface/settings.py b/runtimes/huggingface/mlserver_huggingface/settings.py
index 7f7599aa6..ae60807c3 100644
--- a/runtimes/huggingface/mlserver_huggingface/settings.py
+++ b/runtimes/huggingface/mlserver_huggingface/settings.py
@@ -2,7 +2,7 @@
import orjson
from typing import Optional, Dict, Union, NewType
-from pydantic import BaseSettings, Extra
+from pydantic_settings import BaseSettings, SettingsConfigDict
from distutils.util import strtobool
from transformers.pipelines import SUPPORTED_TASKS
@@ -35,9 +35,11 @@ class HuggingFaceSettings(BaseSettings):
Parameters that apply only to HuggingFace models
"""
- class Config:
- env_prefix = ENV_PREFIX_HUGGINGFACE_SETTINGS
- extra = Extra.ignore
+ model_config = SettingsConfigDict(
+ env_prefix=ENV_PREFIX_HUGGINGFACE_SETTINGS,
+ extra="ignore",
+ protected_namespaces=(),
+ )
# TODO: Document fields
task: str = ""
diff --git a/runtimes/huggingface/mlserver_huggingface/version.py b/runtimes/huggingface/mlserver_huggingface/version.py
index b7b669e38..a744fe1e9 100644
--- a/runtimes/huggingface/mlserver_huggingface/version.py
+++ b/runtimes/huggingface/mlserver_huggingface/version.py
@@ -1 +1 @@
-__version__ = "1.5.0.dev1"
+__version__ = "1.6.0.dev2"
diff --git a/runtimes/huggingface/poetry.lock b/runtimes/huggingface/poetry.lock
index e6fceb42b..1aa8e7a56 100644
--- a/runtimes/huggingface/poetry.lock
+++ b/runtimes/huggingface/poetry.lock
@@ -1,4 +1,4 @@
-# This file is automatically @generated by Poetry 1.8.2 and should not be changed by hand.
+# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand.
[[package]]
name = "absl-py"
@@ -22,92 +22,104 @@ files = [
{file = "aiofiles-23.2.1.tar.gz", hash = "sha256:84ec2218d8419404abcb9f0c02df3f34c6e0a68ed41072acfb1cef5cbc29051a"},
]
+[[package]]
+name = "aiohappyeyeballs"
+version = "2.3.5"
+description = "Happy Eyeballs for asyncio"
+optional = false
+python-versions = ">=3.8"
+files = [
+ {file = "aiohappyeyeballs-2.3.5-py3-none-any.whl", hash = "sha256:4d6dea59215537dbc746e93e779caea8178c866856a721c9c660d7a5a7b8be03"},
+ {file = "aiohappyeyeballs-2.3.5.tar.gz", hash = "sha256:6fa48b9f1317254f122a07a131a86b71ca6946ca989ce6326fff54a99a920105"},
+]
+
[[package]]
name = "aiohttp"
-version = "3.9.3"
+version = "3.10.2"
description = "Async http client/server framework (asyncio)"
optional = false
python-versions = ">=3.8"
files = [
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name = "aiokafka"
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smb = ["smbprotocol"]
ssh = ["paramiko"]
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python-versions = ">=3.8"
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]
[package.dependencies]
setuptools = "*"
[package.extras]
-docs = ["Sphinx", "repoze.sphinx.autointerface", "sphinx_rtd_theme"]
+docs = ["Sphinx", "repoze.sphinx.autointerface", "sphinx-rtd-theme"]
test = ["coverage (>=5.0.3)", "zope.event", "zope.testing"]
testing = ["coverage (>=5.0.3)", "zope.event", "zope.testing"]
[metadata]
lock-version = "2.0"
python-versions = ">=3.9,<3.12"
-content-hash = "1f69e6b02610ab08654a7f7ac5bdfde9ecac54f944bf253f7a23fc80bf60481c"
+content-hash = "ef16814dbd96c26ca4d5366fc75249221db896fd39015b9496d97c92a277e405"
diff --git a/runtimes/huggingface/pyproject.toml b/runtimes/huggingface/pyproject.toml
index 1a65feabb..285103dea 100644
--- a/runtimes/huggingface/pyproject.toml
+++ b/runtimes/huggingface/pyproject.toml
@@ -1,6 +1,6 @@
[tool.poetry]
name = "mlserver-huggingface"
-version = "1.5.0.dev1"
+version = "1.6.0.dev2"
description = "HuggingFace runtime for MLServer"
authors = ["Seldon Technologies Ltd. <hello@seldon.io>"]
license = "Apache-2.0"
@@ -13,13 +13,23 @@ mlserver = "*"
tensorflow = "*"
pillow = "*"
optimum = {extras = ["onnxruntime"], version = ">=1.4,<2.0"}
-pydantic = "<2.0.0"
+pydantic = "2.7.1"
[tool.poetry.group.dev.dependencies]
mlserver = {path = "../..", develop = true}
-torch = "2.2.2"
+# macOS x86 deprecated
+# see: https://github.com/pytorch/pytorch/issues/114602
+torch = [
+ {markers = "sys_platform == 'darwin' and platform_machine == 'x86_64'", version = "<2.3.0"},
+ {markers = "sys_platform != 'darwin' or platform_machine != 'x86_64'", version = "<2.4.0"}
+]
+# tensorflow 2.17.0 not compiled for MacOS for x86 architectures
+# see: https://www.tensorflow.org/install/pip#package_location
+tensorflow = [
+ {markers = "sys_platform == 'darwin' and platform_machine == 'x86_64'", version = ">=2.12,<2.17"},
+ {markers = "sys_platform != 'darwin' or platform_machine != 'x86_64'", version = ">=2.12,<2.18"}
+]
transformers = ">=4.30,<5.0"
-tensorflow = ">=2.12,<2.17"
[build-system]
requires = ["poetry-core"]
diff --git a/runtimes/huggingface/tests/conftest.py b/runtimes/huggingface/tests/conftest.py
index 7b6c07998..398ad92ae 100644
--- a/runtimes/huggingface/tests/conftest.py
+++ b/runtimes/huggingface/tests/conftest.py
@@ -2,7 +2,6 @@
import asyncio
from mlserver.utils import install_uvloop_event_loop
-from mlserver.types import InferenceRequest, RequestInput
# test a prediction spend long time, so add this command argument to enable test tasks
@@ -20,23 +19,3 @@ def event_loop():
loop = asyncio.get_event_loop()
yield loop
loop.close()
-
-
-@pytest.fixture
-def inference_request() -> InferenceRequest:
- return InferenceRequest(
- inputs=[
- RequestInput(
- name="question",
- shape=[1],
- datatype="BYTES",
- data=["what is your name?"],
- ),
- RequestInput(
- name="context",
- shape=[1],
- datatype="BYTES",
- data=["Hello, I am Seldon, how is it going"],
- ),
- ]
- )
diff --git a/runtimes/huggingface/tests/test_codecs/test_conversation.py b/runtimes/huggingface/tests/test_codecs/test_conversation.py
index 7b709b9d0..723e3457c 100644
--- a/runtimes/huggingface/tests/test_codecs/test_conversation.py
+++ b/runtimes/huggingface/tests/test_codecs/test_conversation.py
@@ -29,7 +29,7 @@
content_type=HuggingfaceConversationCodec.ContentType
),
data=TensorData(
- __root__=[
+ root=[
'{"uuid": "8524ebb5-2f63-4f36-866f-f6152e9da03f", "past_user_inputs": [], "generated_responses": [], "new_user_input": "hello"}', # noqa
'{"uuid": "8524ebb5-2f63-4f36-866f-f6152e9da03f", "past_user_inputs": [], "generated_responses": [], "new_user_input": "how\'s it going"}', # noqa
]
@@ -58,7 +58,7 @@
content_type=HuggingfaceConversationCodec.ContentType
),
data=TensorData(
- __root__=[
+ root=[
b'{"uuid": "8524ebb5-2f63-4f36-866f-f6152e9da03f", "past_user_inputs": [], "generated_responses": [], "new_user_input": "hello"}', # noqa
b'{"uuid": "8524ebb5-2f63-4f36-866f-f6152e9da03f", "past_user_inputs": [], "generated_responses": [], "new_user_input": "how\'s it going"}', # noqa
]
@@ -99,7 +99,7 @@ def test_encode_input(name, var, use_bytes, expected1, expected2):
content_type=HuggingfaceConversationCodec.ContentType
),
data=TensorData(
- __root__=[
+ root=[
'{"uuid": "8524ebb5-2f63-4f36-866f-f6152e9da03f", "past_user_inputs": [], "generated_responses": [], "new_user_input": "hello"}', # noqa
'{"uuid": "8524ebb5-2f63-4f36-866f-f6152e9da03f", "past_user_inputs": [], "generated_responses": [], "new_user_input": "how\'s it going"}', # noqa
]
@@ -124,7 +124,7 @@ def test_encode_input(name, var, use_bytes, expected1, expected2):
content_type=HuggingfaceConversationCodec.ContentType
),
data=TensorData(
- __root__=[
+ root=[
b'{"uuid": "8524ebb5-2f63-4f36-866f-f6152e9da03f", "past_user_inputs": [], "generated_responses": [], "new_user_input": "hello"}', # noqa
b'{"uuid": "8524ebb5-2f63-4f36-866f-f6152e9da03f", "past_user_inputs": [], "generated_responses": [], "new_user_input": "how\'s it going"}', # noqa
]
@@ -170,7 +170,7 @@ def test_decode_input(var, expected):
content_type=HuggingfaceConversationCodec.ContentType
),
data=TensorData(
- __root__=[
+ root=[
'{"uuid": "8524ebb5-2f63-4f36-866f-f6152e9da03f", "past_user_inputs": [], "generated_responses": [], "new_user_input": "hello"}', # noqa
'{"uuid": "8524ebb5-2f63-4f36-866f-f6152e9da03f", "past_user_inputs": [], "generated_responses": [], "new_user_input": "how\'s it going"}', # noqa
]
@@ -198,7 +198,7 @@ def test_decode_input(var, expected):
content_type=HuggingfaceConversationCodec.ContentType
),
data=TensorData(
- __root__=[
+ root=[
b'{"uuid": "8524ebb5-2f63-4f36-866f-f6152e9da03f", "past_user_inputs": [], "generated_responses": [], "new_user_input": "hello"}', # noqa
b'{"uuid": "8524ebb5-2f63-4f36-866f-f6152e9da03f", "past_user_inputs": [], "generated_responses": [], "new_user_input": "how\'s it going"}', # noqa
]
@@ -222,7 +222,7 @@ def test_encode_output(name, var, use_bytes, expected1, expected2):
assert can_encode == expected1
if can_encode:
assert (
- HuggingfaceConversationCodec.encode_input(name, var, use_bytes=use_bytes)
+ HuggingfaceConversationCodec.encode_output(name, var, use_bytes=use_bytes)
== expected2
)
diff --git a/runtimes/huggingface/tests/test_codecs/test_image.py b/runtimes/huggingface/tests/test_codecs/test_image.py
index 40bee9698..fb3b21417 100644
--- a/runtimes/huggingface/tests/test_codecs/test_image.py
+++ b/runtimes/huggingface/tests/test_codecs/test_image.py
@@ -131,7 +131,7 @@ def test_encode_output(name, var, use_bytes, expected1, expected2):
can_encode = PILImageCodec.can_encode(var)
assert can_encode == expected1
if can_encode:
- assert PILImageCodec.encode_input(name, var, use_bytes) == expected2
+ assert PILImageCodec.encode_output(name, var, use_bytes) == expected2
@pytest.mark.parametrize(
diff --git a/runtimes/huggingface/tests/test_codecs/test_json.py b/runtimes/huggingface/tests/test_codecs/test_json.py
index 703b3f0af..f8444a887 100644
--- a/runtimes/huggingface/tests/test_codecs/test_json.py
+++ b/runtimes/huggingface/tests/test_codecs/test_json.py
@@ -177,7 +177,7 @@ def test_encode_response(name, var, use_bytes, expected1, expected2):
assert can_encode == expected1
if can_encode:
assert (
- HuggingfaceSingleJSONCodec.encode_input(name, var, use_bytes=use_bytes)
+ HuggingfaceSingleJSONCodec.encode_output(name, var, use_bytes=use_bytes)
== expected2
)
diff --git a/runtimes/huggingface/tests/test_codecs/test_jsonlist.py b/runtimes/huggingface/tests/test_codecs/test_jsonlist.py
index a4c929441..658f80a63 100644
--- a/runtimes/huggingface/tests/test_codecs/test_jsonlist.py
+++ b/runtimes/huggingface/tests/test_codecs/test_jsonlist.py
@@ -34,7 +34,7 @@
shape=[2, 1],
datatype="BYTES",
parameters=Parameters(content_type="hg_jsonlist"),
- data=TensorData(__root__=[]),
+ data=TensorData(root=[]),
),
),
("mixed", [1, {}], False, None),
@@ -60,7 +60,7 @@ def test_encode_input(name, var, expected1, expected2):
shape=[2, 1],
datatype="BYTES",
parameters=Parameters(content_type="hg_jsonlist"),
- data=TensorData(__root__=["{}", "{}"]),
+ data=TensorData(root=["{}", "{}"]),
),
[{}, {}],
),
@@ -70,7 +70,7 @@ def test_encode_input(name, var, expected1, expected2):
shape=[1, 1],
datatype="BYTES",
parameters=Parameters(content_type="hg_jsonlist"),
- data=TensorData(__root__=[file_content("image_base64.txt")]),
+ data=TensorData(root=[file_content("image_base64.txt")]),
),
[{"i": Image.open(file_path("dogs.jpg"))}],
),
@@ -81,7 +81,7 @@ def test_encode_input(name, var, expected1, expected2):
datatype="BYTES",
parameters=Parameters(content_type="hg_jsonlist"),
data=TensorData(
- __root__=[
+ root=[
'{"uuid": "59a1121c-831b-40ae-b33b-320b9dd60770", "past_user_inputs": [], "new_user_input": "hi", "generated_responses": []}' # noqa
]
),
@@ -102,7 +102,7 @@ def test_encode_input(name, var, expected1, expected2):
datatype="BYTES",
parameters=Parameters(content_type="hg_jsonlist"),
data=TensorData(
- __root__=[
+ root=[
'{"c": {"uuid": "59a1121c-831b-40ae-b33b-320b9dd60770", "past_user_inputs": [], "new_user_input": "hi", "generated_responses": []}}', # noqa
file_content("image_base64.txt"),
]
@@ -152,7 +152,7 @@ def test_decode_input(var, expected):
shape=[2, 1],
datatype="BYTES",
parameters=Parameters(content_type="hg_jsonlist"),
- data=TensorData(__root__=["{}", "{}"]),
+ data=TensorData(root=["{}", "{}"]),
),
)
],
@@ -174,7 +174,7 @@ def test_encode_output(name, var, expected):
shape=[2, 1],
datatype="BYTES",
parameters=Parameters(content_type="hg_jsonlist"),
- data=TensorData(__root__=["{}", "{}"]),
+ data=TensorData(root=["{}", "{}"]),
),
[{}, {}],
),
@@ -184,7 +184,7 @@ def test_encode_output(name, var, expected):
shape=[1, 1],
datatype="BYTES",
parameters=Parameters(content_type="hg_jsonlist"),
- data=TensorData(__root__=[file_content("image_base64.txt")]),
+ data=TensorData(root=[file_content("image_base64.txt")]),
),
[{"i": Image.open(file_path("dogs.jpg"))}],
),
@@ -195,7 +195,7 @@ def test_encode_output(name, var, expected):
datatype="BYTES",
parameters=Parameters(content_type="hg_jsonlist"),
data=TensorData(
- __root__=[
+ root=[
'{"uuid": "59a1121c-831b-40ae-b33b-320b9dd60770", "past_user_inputs": [], "new_user_input": "hi", "generated_responses": []}' # noqa
]
),
@@ -216,7 +216,7 @@ def test_encode_output(name, var, expected):
datatype="BYTES",
parameters=Parameters(content_type="hg_jsonlist"),
data=TensorData(
- __root__=[
+ root=[
'{"c": {"uuid": "59a1121c-831b-40ae-b33b-320b9dd60770", "past_user_inputs": [], "new_user_input": "hi", "generated_responses": []}}', # noqa
file_content("image_base64.txt"),
]
diff --git a/runtimes/huggingface/tests/test_codecs/test_numpylist.py b/runtimes/huggingface/tests/test_codecs/test_numpylist.py
index aec5786c1..d322f0e90 100644
--- a/runtimes/huggingface/tests/test_codecs/test_numpylist.py
+++ b/runtimes/huggingface/tests/test_codecs/test_numpylist.py
@@ -16,7 +16,7 @@
shape=[2, 1, 2],
datatype="FP64",
parameters=Parameters(content_type="nplist"),
- data=TensorData(__root__=[0.0, 0.0, 0.0, 0.0]),
+ data=TensorData(root=[0.0, 0.0, 0.0, 0.0]),
),
),
(
@@ -26,7 +26,7 @@
RequestInput(
name="int8",
datatype="INT8",
- data=TensorData(__root__=[1, 2, 1, 2]),
+ data=TensorData(root=[1, 2, 1, 2]),
parameters=Parameters(content_type="nplist"),
shape=[2, 1, 2],
),
@@ -38,7 +38,7 @@
RequestInput(
name="mixdtype",
datatype="FP64",
- data=TensorData(__root__=[1, 2, 0.0, 0.0]),
+ data=TensorData(root=[1, 2, 0.0, 0.0]),
parameters=Parameters(content_type="nplist"),
shape=[2, 1, 2],
),
@@ -61,7 +61,7 @@ def test_encode_input(name, var, expected1, expected2):
name="float64",
shape=[2, 1, 2],
datatype="FP64",
- data=TensorData(__root__=[0.0, 0.0, 0.0, 0.0]),
+ data=TensorData(root=[0.0, 0.0, 0.0, 0.0]),
parameters=Parameters(content_type="nplist"),
),
[np.zeros([1, 2]), np.zeros([1, 2])],
@@ -70,7 +70,7 @@ def test_encode_input(name, var, expected1, expected2):
RequestInput(
name="int8",
datatype="INT8",
- data=TensorData(__root__=[1, 2, 1, 2]),
+ data=TensorData(root=[1, 2, 1, 2]),
parameters=Parameters(content_type="nplist"),
shape=[2, 1, 2],
),
@@ -80,7 +80,7 @@ def test_encode_input(name, var, expected1, expected2):
RequestInput(
name="mixdtype",
datatype="FP64",
- data=TensorData(__root__=[1, 2, 0.0, 0.0]),
+ data=TensorData(root=[1, 2, 0.0, 0.0]),
parameters=Parameters(content_type="nplist"),
shape=[2, 1, 2],
),
diff --git a/runtimes/huggingface/tests/test_codecs/test_raw.py b/runtimes/huggingface/tests/test_codecs/test_raw.py
index c1a3cd20c..b22be38aa 100644
--- a/runtimes/huggingface/tests/test_codecs/test_raw.py
+++ b/runtimes/huggingface/tests/test_codecs/test_raw.py
@@ -14,7 +14,7 @@
RequestInput(
name="foo1",
datatype="BYTES",
- data=TensorData(__root__=["bar1"]),
+ data=TensorData(root=["bar1"]),
shape=[1],
parameters=Parameters(content_type="raw"),
),
@@ -26,7 +26,7 @@
RequestInput(
name="foo2",
datatype="BYTES",
- data=TensorData(__root__=[1]),
+ data=TensorData(root=[1]),
parameters=Parameters(content_type="raw"),
shape=[1],
),
@@ -38,7 +38,7 @@
RequestInput(
name="foo3",
datatype="BYTES",
- data=TensorData(__root__=[1.0]),
+ data=TensorData(root=[1.0]),
parameters=Parameters(content_type="raw"),
shape=[1],
),
diff --git a/runtimes/huggingface/tests/test_common.py b/runtimes/huggingface/tests/test_common.py
index 882d8e31f..894570842 100644
--- a/runtimes/huggingface/tests/test_common.py
+++ b/runtimes/huggingface/tests/test_common.py
@@ -3,10 +3,8 @@
import pytest
import torch
from typing import Dict, Optional, Union
-from optimum.onnxruntime.modeling_ort import ORTModelForQuestionAnswering
-from transformers.models.distilbert.modeling_distilbert import (
- DistilBertForQuestionAnswering,
-)
+from optimum.onnxruntime.modeling_decoder import ORTModelForCausalLM
+from transformers.models.gpt2 import GPT2ForQuestionAnswering
from mlserver.settings import ModelSettings, ModelParameters
@@ -26,22 +24,42 @@
],
)
def test_settings_task_name(envs: Dict[str, str], expected: str):
- setting = HuggingFaceSettings(**envs)
+ setting = HuggingFaceSettings.model_validate(envs)
assert setting.task_name == expected
@pytest.mark.parametrize(
- "optimum_model, expected",
- [(True, ORTModelForQuestionAnswering), (False, DistilBertForQuestionAnswering)],
+ "task, optimum_model, model, expected",
+ [
+ (
+ "text-generation",
+ True,
+ "distilgpt2",
+ ORTModelForCausalLM,
+ ),
+ (
+ "question-answering",
+ False,
+ "distilgpt2",
+ GPT2ForQuestionAnswering,
+ ),
+ ],
)
-def test_load_pipeline(optimum_model: bool, expected):
+def test_load_pipeline(
+ task: str,
+ optimum_model: bool,
+ model: str,
+ expected: Union[ORTModelForCausalLM, GPT2ForQuestionAnswering],
+):
hf_settings = HuggingFaceSettings(
- task="question-answering", optimum_model=optimum_model
+ task=task,
+ optimum_model=optimum_model,
+ pretrained_model=model,
)
model_settings = ModelSettings(
name="foo",
implementation=HuggingFaceRuntime,
- parameters=ModelParameters(extra=hf_settings.dict()),
+ parameters=ModelParameters(extra=hf_settings.model_dump()),
)
pipeline = load_pipeline_from_settings(hf_settings, model_settings)
diff --git a/runtimes/huggingface/tests/test_runtime.py b/runtimes/huggingface/tests/test_runtime.py
index 387b53189..81fd5d56c 100644
--- a/runtimes/huggingface/tests/test_runtime.py
+++ b/runtimes/huggingface/tests/test_runtime.py
@@ -1,64 +1,170 @@
-import json
-
from pytest_cases import fixture, parametrize_with_cases
+
+from typing import Tuple
+
+from transformers.pipelines.text_generation import TextGenerationPipeline
from transformers.pipelines.question_answering import QuestionAnsweringPipeline
+from transformers.pipelines import Pipeline
from mlserver.settings import ModelSettings
-from mlserver.types import InferenceRequest
+from mlserver.types import (
+ InferenceRequest,
+ InferenceResponse,
+ RequestInput,
+ TensorData,
+ ResponseOutput,
+ Parameters,
+)
from mlserver_huggingface import HuggingFaceRuntime
+test_inputs_outputs = Tuple[
+ HuggingFaceRuntime,
+ InferenceRequest,
+ InferenceResponse,
+ Pipeline,
+]
+
+# This whole paramaterisation is a slight misuse. Ideally the
+# different fixtures being created wouldn't all be done in this
+# function, and wouldn't be returned as 1 big tuple, that needs to be
+# expanded.
@fixture
@parametrize_with_cases("model_settings")
-async def future_runtime(model_settings: ModelSettings) -> HuggingFaceRuntime:
+async def future_runtime(
+ model_settings: ModelSettings,
+) -> test_inputs_outputs:
# NOTE: The pytest-cases doesn't work too well yet with AsyncIO, therefore
# we need to treat the fixture as an Awaitable and await it in the tests.
# https://github.com/smarie/python-pytest-cases/issues/286
runtime = HuggingFaceRuntime(model_settings)
runtime.ready = await runtime.load()
- return runtime
+ if runtime.hf_settings.task == "question-answering":
+ inference_request = InferenceRequest(
+ inputs=[
+ RequestInput(
+ name="question",
+ shape=[1],
+ datatype="BYTES",
+ data=["what is your name?"],
+ ),
+ RequestInput(
+ name="context",
+ shape=[1],
+ datatype="BYTES",
+ data=["Hello, I am Seldon, how is it going"],
+ ),
+ ]
+ )
+
+ inference_response = InferenceResponse(
+ model_name="foo",
+ model_version=None,
+ id=None,
+ parameters=None,
+ outputs=[
+ ResponseOutput(
+ name="output",
+ shape=[1, 1],
+ datatype="BYTES",
+ parameters=Parameters(content_type="hg_jsonlist", headers=None),
+ data=TensorData(
+ root=[
+ b'{"score": 0.9869917035102844, "start": 12, "end": 18, "answer": "Seldon"}' # noqa: E501
+ ]
+ ),
+ )
+ ],
+ )
+
+ pipeline_kind = QuestionAnsweringPipeline
+ elif runtime.hf_settings.task == "text-generation":
+ inference_request = InferenceRequest(
+ inputs=[
+ RequestInput(
+ name="text_inputs",
+ shape=[1],
+ datatype="BYTES",
+ data=["The capital of France is called"],
+ ),
+ ]
+ )
+
+ inference_response = InferenceResponse(
+ model_name="foo",
+ model_version=None,
+ id=None,
+ parameters=None,
+ outputs=[
+ ResponseOutput(
+ name="output",
+ shape=[1, 1],
+ datatype="BYTES",
+ parameters=Parameters(content_type="hg_jsonlist", headers=None),
+ data=TensorData(
+ root=[
+ b'[{"generated_text": "The capital of France is called Vichy, which it\'s named after a Roman Catholic town.\\n\\n\\n\\n\\nMore than 50,000 Roman Catholic students attended the university this year.\\nLATEST STORIES\\nWife and child"}]' # noqa: E501
+ ]
+ ),
+ )
+ ],
+ )
+
+ pipeline_kind = TextGenerationPipeline
+
+ return (
+ runtime,
+ inference_request,
+ inference_response,
+ pipeline_kind,
+ )
+
+
+async def test_load(future_runtime: test_inputs_outputs):
+ (
+ runtime,
+ _inference_request,
+ _inference_response,
+ pipeline_kind,
+ ) = future_runtime
-async def test_load(future_runtime: HuggingFaceRuntime):
- runtime = future_runtime
assert runtime.ready
- assert isinstance(runtime._model, QuestionAnsweringPipeline)
+
+ assert isinstance(runtime._model, pipeline_kind)
-async def test_unload(future_runtime: HuggingFaceRuntime):
- runtime = future_runtime
+async def test_unload(future_runtime: test_inputs_outputs):
+ (
+ runtime,
+ _inference_request,
+ _inference_response,
+ _pipeline_kind,
+ ) = future_runtime
+
assert runtime.ready
unloaded = await runtime.unload()
assert unloaded
-async def test_infer(
- future_runtime: HuggingFaceRuntime, inference_request: InferenceRequest
-):
- runtime = future_runtime
- res = await runtime.predict(inference_request)
- pred = json.loads(res.outputs[0].data[0])
- assert pred["answer"] == "Seldon"
-
-
-async def test_infer_multiple(
- future_runtime: HuggingFaceRuntime, inference_request: InferenceRequest
-):
- runtime = future_runtime
-
- # Send request with two elements
- for request_input in inference_request.inputs:
- input_data = request_input.data[0]
- request_input.data.__root__ = [input_data, input_data]
- request_input.shape = [2]
+async def test_infer(future_runtime: test_inputs_outputs):
+ (
+ runtime,
+ inference_request,
+ inference_response,
+ pipeline_kind,
+ ) = future_runtime
res = await runtime.predict(inference_request)
- assert len(res.outputs) == 1
+ # Since text generation with the chosen model is painfully
+ # non-deterministic, we don't try and test for the output
+ # matching.
+ #
+ # Instead, set them to dummy values. We'll still assert on the rest of the response.
+ if pipeline_kind == TextGenerationPipeline:
+ res.outputs[0].data = TensorData([])
+ inference_response.outputs[0].data = TensorData([])
- response_output = res.outputs[0]
- assert len(response_output.data) == 2
- for d in response_output.data:
- pred = json.loads(d)
- assert pred["answer"] == "Seldon"
+ assert res == inference_response
diff --git a/runtimes/huggingface/tests/test_runtime_cases.py b/runtimes/huggingface/tests/test_runtime_cases.py
index 0e6af4934..978c57325 100644
--- a/runtimes/huggingface/tests/test_runtime_cases.py
+++ b/runtimes/huggingface/tests/test_runtime_cases.py
@@ -7,7 +7,11 @@ def case_optimum_settings() -> ModelSettings:
name="foo",
implementation=HuggingFaceRuntime,
parameters=ModelParameters(
- extra={"task": "question-answering", "optimum_model": True}
+ extra={
+ "task": "text-generation",
+ "pretrained_model": "distilgpt2",
+ "optimum_model": True,
+ }
),
)
@@ -19,6 +23,7 @@ def case_transformers_settings() -> ModelSettings:
parameters=ModelParameters(
extra={
"task": "question-answering",
+ "optimum_model": False,
}
),
)
diff --git a/runtimes/huggingface/tests/utils.py b/runtimes/huggingface/tests/utils.py
index 9cb943241..75b36c240 100644
--- a/runtimes/huggingface/tests/utils.py
+++ b/runtimes/huggingface/tests/utils.py
@@ -32,11 +32,23 @@ def image_base64(fname: str, use_bytes: bool = False) -> Union[str, bytes]:
def image_base64_bytes(fname: str) -> bytes:
- img = Image.open(file_path(fname))
+ """Load an image by filename and return it as Base64 encoded bytes"""
+ img = Image.open(
+ file_path(fname),
+ formats=None, # Try and support all formats
+ )
+
+ fmt = img.format
+ if fmt is None:
+ raise ValueError("test image has no specified format")
+
buf = io.BytesIO()
- img.save(buf, format=img.format)
+ img.save(buf, format=fmt)
v = base64.b64encode(buf.getvalue())
- return f"data:image/{img.format.lower()};base64,".encode() + v
+
+ bytes = f"data:image/{fmt.lower()};base64,".encode() + v
+
+ return bytes
def image_base64_str(fname: str) -> str:
diff --git a/runtimes/huggingface/tox.ini b/runtimes/huggingface/tox.ini
index 026940b6f..bc9e828df 100644
--- a/runtimes/huggingface/tox.ini
+++ b/runtimes/huggingface/tox.ini
@@ -4,7 +4,7 @@ isolated_build = true
[testenv]
allowlist_externals = poetry
commands_pre =
- poetry install --sync --no-root
+ poetry install --sync --no-root
poetry install -C {toxinidir}/../../
commands =
python -m pytest {posargs} -n auto \
diff --git a/runtimes/lightgbm/mlserver_lightgbm/version.py b/runtimes/lightgbm/mlserver_lightgbm/version.py
index b7b669e38..a744fe1e9 100644
--- a/runtimes/lightgbm/mlserver_lightgbm/version.py
+++ b/runtimes/lightgbm/mlserver_lightgbm/version.py
@@ -1 +1 @@
-__version__ = "1.5.0.dev1"
+__version__ = "1.6.0.dev2"
diff --git a/runtimes/lightgbm/poetry.lock b/runtimes/lightgbm/poetry.lock
index 5a60addaa..ce960f1e9 100644
--- a/runtimes/lightgbm/poetry.lock
+++ b/runtimes/lightgbm/poetry.lock
@@ -1,4 +1,4 @@
-# This file is automatically @generated by Poetry 1.8.2 and should not be changed by hand.
+# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand.
[[package]]
name = "aiofiles"
@@ -11,92 +11,104 @@ files = [
{file = "aiofiles-23.2.1.tar.gz", hash = "sha256:84ec2218d8419404abcb9f0c02df3f34c6e0a68ed41072acfb1cef5cbc29051a"},
]
+[[package]]
+name = "aiohappyeyeballs"
+version = "2.3.5"
+description = "Happy Eyeballs for asyncio"
+optional = false
+python-versions = ">=3.8"
+files = [
+ {file = "aiohappyeyeballs-2.3.5-py3-none-any.whl", hash = "sha256:4d6dea59215537dbc746e93e779caea8178c866856a721c9c660d7a5a7b8be03"},
+ {file = "aiohappyeyeballs-2.3.5.tar.gz", hash = "sha256:6fa48b9f1317254f122a07a131a86b71ca6946ca989ce6326fff54a99a920105"},
+]
+
[[package]]
name = "aiohttp"
-version = "3.9.3"
+version = "3.10.2"
description = "Async http client/server framework (asyncio)"
optional = false
python-versions = ">=3.8"
files = [
- {file = "aiohttp-3.9.3-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:939677b61f9d72a4fa2a042a5eee2a99a24001a67c13da113b2e30396567db54"},
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- {file = "aiohttp-3.9.3-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:82e6aa28dd46374f72093eda8bcd142f7771ee1eb9d1e223ff0fa7177a96b4a5"},
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yarl = ">=1.0,<2.0"
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name = "aiokafka"
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frozenlist = ">=1.1.0"
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description = "Python package for providing Mozilla's CA Bundle."
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[[package]]
name = "lightgbm"
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+version = "4.5.0"
description = "LightGBM Python Package"
optional = false
-python-versions = ">=3.6"
+python-versions = ">=3.7"
files = [
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]
[package.dependencies]
-numpy = "*"
+numpy = ">=1.17.0"
scipy = "*"
[package.extras]
@@ -967,7 +983,7 @@ scikit-learn = ["scikit-learn (!=0.22.0)"]
[[package]]
name = "mlserver"
-version = "1.5.0.dev1"
+version = "1.6.0.dev2"
description = "MLServer"
optional = false
python-versions = ">=3.9,<3.12"
@@ -982,7 +998,7 @@ fastapi = ">=0.88.0,!=0.89.0,<=0.110.0"
gevent = "*"
geventhttpclient = "*"
grpcio = "*"
-importlib-resources = "^5.12.0"
+importlib-resources = ">=5.12,<7.0"
numpy = "*"
opentelemetry-exporter-otlp-proto-grpc = "^1.22.0"
opentelemetry-instrumentation-fastapi = ">=0.43b0"
@@ -992,7 +1008,8 @@ orjson = "*"
pandas = "*"
protobuf = "*"
py-grpc-prometheus = "*"
-pydantic = "<2.0.0"
+pydantic = "2.7.1"
+pydantic-settings = "2.2.1"
python-dotenv = "*"
python-multipart = "*"
starlette-exporter = "*"
@@ -1150,42 +1167,42 @@ files = [
[[package]]
name = "opentelemetry-api"
-version = "1.23.0"
+version = "1.25.0"
description = "OpenTelemetry Python API"
optional = false
python-versions = ">=3.8"
files = [
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deprecated = ">=1.2.6"
-importlib-metadata = ">=6.0,<7.0"
+importlib-metadata = ">=6.0,<=7.1"
[[package]]
name = "opentelemetry-exporter-otlp-proto-common"
-version = "1.23.0"
+version = "1.25.0"
description = "OpenTelemetry Protobuf encoding"
optional = false
python-versions = ">=3.8"
files = [
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-opentelemetry-proto = "1.23.0"
+opentelemetry-proto = "1.25.0"
[[package]]
name = "opentelemetry-exporter-otlp-proto-grpc"
-version = "1.23.0"
+version = "1.25.0"
description = "OpenTelemetry Collector Protobuf over gRPC Exporter"
optional = false
python-versions = ">=3.8"
files = [
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@@ -1193,22 +1210,19 @@ deprecated = ">=1.2.6"
googleapis-common-protos = ">=1.52,<2.0"
grpcio = ">=1.0.0,<2.0.0"
opentelemetry-api = ">=1.15,<2.0"
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-opentelemetry-proto = "1.23.0"
-opentelemetry-sdk = ">=1.23.0,<1.24.0"
-
-[package.extras]
-test = ["pytest-grpc"]
+opentelemetry-exporter-otlp-proto-common = "1.25.0"
+opentelemetry-proto = "1.25.0"
+opentelemetry-sdk = ">=1.25.0,<1.26.0"
[[package]]
name = "opentelemetry-instrumentation"
-version = "0.44b0"
+version = "0.46b0"
description = "Instrumentation Tools & Auto Instrumentation for OpenTelemetry Python"
optional = false
python-versions = ">=3.8"
files = [
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@@ -1218,79 +1232,75 @@ wrapt = ">=1.0.0,<2.0.0"
[[package]]
name = "opentelemetry-instrumentation-asgi"
-version = "0.44b0"
+version = "0.46b0"
description = "ASGI instrumentation for OpenTelemetry"
optional = false
python-versions = ">=3.8"
files = [
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-opentelemetry-semantic-conventions = "0.44b0"
-opentelemetry-util-http = "0.44b0"
+opentelemetry-instrumentation = "0.46b0"
+opentelemetry-semantic-conventions = "0.46b0"
+opentelemetry-util-http = "0.46b0"
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instruments = ["asgiref (>=3.0,<4.0)"]
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[[package]]
name = "opentelemetry-instrumentation-fastapi"
-version = "0.44b0"
+version = "0.46b0"
description = "OpenTelemetry FastAPI Instrumentation"
optional = false
python-versions = ">=3.8"
files = [
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name = "opentelemetry-instrumentation-grpc"
-version = "0.44b0"
+version = "0.46b0"
description = "OpenTelemetry gRPC instrumentation"
optional = false
python-versions = ">=3.8"
files = [
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wrapt = ">=1.0.0,<2.0.0"
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instruments = ["grpcio (>=1.27,<2.0)"]
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[[package]]
name = "opentelemetry-proto"
-version = "1.23.0"
+version = "1.25.0"
description = "OpenTelemetry Python Proto"
optional = false
python-versions = ">=3.8"
files = [
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@@ -1298,154 +1308,153 @@ protobuf = ">=3.19,<5.0"
[[package]]
name = "opentelemetry-sdk"
-version = "1.23.0"
+version = "1.25.0"
description = "OpenTelemetry Python SDK"
optional = false
python-versions = ">=3.8"
files = [
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typing-extensions = ">=3.7.4"
[[package]]
name = "opentelemetry-semantic-conventions"
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+version = "0.46b0"
description = "OpenTelemetry Semantic Conventions"
optional = false
python-versions = ">=3.8"
files = [
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+
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-version = "0.44b0"
+version = "0.46b0"
description = "Web util for OpenTelemetry"
optional = false
python-versions = ">=3.8"
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description = "Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy"
optional = false
python-versions = ">=3.8"
files = [
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]
[package.dependencies]
setuptools = "*"
[package.extras]
-docs = ["Sphinx", "repoze.sphinx.autointerface", "sphinx_rtd_theme"]
+docs = ["Sphinx", "repoze.sphinx.autointerface", "sphinx-rtd-theme"]
test = ["coverage (>=5.0.3)", "zope.event", "zope.testing"]
testing = ["coverage (>=5.0.3)", "zope.event", "zope.testing"]
[metadata]
lock-version = "2.0"
python-versions = ">=3.9,<3.12"
-content-hash = "6baf067c8879c3f9874111a274577c43c4139b3b095afe4d9f82843e11510898"
+content-hash = "43108d6886228730aece30cda132f6f10396c688917e60a9548146cae6d08c30"
diff --git a/runtimes/lightgbm/pyproject.toml b/runtimes/lightgbm/pyproject.toml
index b4e6d6a77..9053d4022 100644
--- a/runtimes/lightgbm/pyproject.toml
+++ b/runtimes/lightgbm/pyproject.toml
@@ -1,6 +1,6 @@
[tool.poetry]
name = "mlserver-lightgbm"
-version = "1.5.0.dev1"
+version = "1.6.0.dev2"
description = "LightGBM runtime for MLServer"
authors = ["Seldon Technologies Ltd. <hello@seldon.io>"]
license = "Apache-2.0"
@@ -12,7 +12,6 @@ python = ">=3.9,<3.12"
mlserver = "*"
lightgbm = "*"
pandas = "*"
-pydantic = "<2.0.0"
[tool.poetry.group.dev.dependencies]
mlserver = {path = "../..", develop = true}
diff --git a/runtimes/lightgbm/tox.ini b/runtimes/lightgbm/tox.ini
index 026940b6f..bc9e828df 100644
--- a/runtimes/lightgbm/tox.ini
+++ b/runtimes/lightgbm/tox.ini
@@ -4,7 +4,7 @@ isolated_build = true
[testenv]
allowlist_externals = poetry
commands_pre =
- poetry install --sync --no-root
+ poetry install --sync --no-root
poetry install -C {toxinidir}/../../
commands =
python -m pytest {posargs} -n auto \
diff --git a/runtimes/mlflow/mlserver_mlflow/metadata.py b/runtimes/mlflow/mlserver_mlflow/metadata.py
index 572290e84..e9818ab6b 100644
--- a/runtimes/mlflow/mlserver_mlflow/metadata.py
+++ b/runtimes/mlflow/mlserver_mlflow/metadata.py
@@ -46,7 +46,7 @@ def _get_shape(input_spec: InputSpec) -> List[int]:
if isinstance(input_spec, TensorSpec):
return list(input_spec.shape)
- return [-1]
+ return [-1, 1]
def to_metadata_tensors(
diff --git a/runtimes/mlflow/mlserver_mlflow/version.py b/runtimes/mlflow/mlserver_mlflow/version.py
index b7b669e38..a744fe1e9 100644
--- a/runtimes/mlflow/mlserver_mlflow/version.py
+++ b/runtimes/mlflow/mlserver_mlflow/version.py
@@ -1 +1 @@
-__version__ = "1.5.0.dev1"
+__version__ = "1.6.0.dev2"
diff --git a/runtimes/mlflow/poetry.lock b/runtimes/mlflow/poetry.lock
index 946c69598..f877dc516 100644
--- a/runtimes/mlflow/poetry.lock
+++ b/runtimes/mlflow/poetry.lock
@@ -1,4 +1,4 @@
-# This file is automatically @generated by Poetry 1.8.2 and should not be changed by hand.
+# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand.
[[package]]
name = "aiofiles"
@@ -11,92 +11,104 @@ files = [
{file = "aiofiles-23.2.1.tar.gz", hash = "sha256:84ec2218d8419404abcb9f0c02df3f34c6e0a68ed41072acfb1cef5cbc29051a"},
]
+[[package]]
+name = "aiohappyeyeballs"
+version = "2.3.5"
+description = "Happy Eyeballs for asyncio"
+optional = false
+python-versions = ">=3.8"
+files = [
+ {file = "aiohappyeyeballs-2.3.5-py3-none-any.whl", hash = "sha256:4d6dea59215537dbc746e93e779caea8178c866856a721c9c660d7a5a7b8be03"},
+ {file = "aiohappyeyeballs-2.3.5.tar.gz", hash = "sha256:6fa48b9f1317254f122a07a131a86b71ca6946ca989ce6326fff54a99a920105"},
+]
+
[[package]]
name = "aiohttp"
-version = "3.9.3"
+version = "3.10.2"
description = "Async http client/server framework (asyncio)"
optional = false
python-versions = ">=3.8"
files = [
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description = "File-system specification"
optional = false
python-versions = ">=3.8"
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adl = ["adlfs"]
arrow = ["pyarrow (>=1)"]
dask = ["dask", "distributed"]
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smb = ["smbprotocol"]
ssh = ["paramiko"]
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fonttools = ">=4.22.0"
importlib-resources = {version = ">=3.2.0", markers = "python_version < \"3.10\""}
kiwisolver = ">=1.3.1"
-numpy = ">=1.21,<2"
+numpy = ">=1.23"
packaging = ">=20.0"
pillow = ">=8"
pyparsing = ">=2.3.1"
python-dateutil = ">=2.7"
+[package.extras]
+dev = ["meson-python (>=0.13.1)", "numpy (>=1.25)", "pybind11 (>=2.6)", "setuptools (>=64)", "setuptools_scm (>=7)"]
+
[[package]]
name = "mlflow"
-version = "2.11.3"
-description = "MLflow: A Platform for ML Development and Productionization"
+version = "2.16.0"
+description = "MLflow is an open source platform for the complete machine learning lifecycle"
optional = false
python-versions = ">=3.8"
files = [
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docker = ">=4.0.0,<8"
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graphene = "<4"
-gunicorn = {version = "<22", markers = "platform_system != \"Windows\""}
-importlib-metadata = ">=3.7.0,<4.7.0 || >4.7.0,<8"
+gunicorn = {version = "<24", markers = "platform_system != \"Windows\""}
Jinja2 = [
{version = ">=2.11,<4", markers = "platform_system != \"Windows\""},
{version = ">=3.0,<4", markers = "platform_system == \"Windows\""},
]
markdown = ">=3.3,<4"
matplotlib = "<4"
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pandas = "<3"
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scikit-learn = "<2"
scipy = "<2"
sqlalchemy = ">=1.4.0,<3"
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waitress = {version = "<4", markers = "platform_system == \"Windows\""}
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+langchain = ["langchain (>=0.1.0,<=0.2.15)"]
+sqlserver = ["mlflow-dbstore"]
+xethub = ["mlflow-xethub"]
+
+[[package]]
+name = "mlflow-skinny"
+version = "2.16.0"
+description = "MLflow is an open source platform for the complete machine learning lifecycle"
+optional = false
+python-versions = ">=3.8"
+files = [
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+
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+langchain = ["langchain (>=0.1.0,<=0.2.15)"]
sqlserver = ["mlflow-dbstore"]
xethub = ["mlflow-xethub"]
[[package]]
name = "mlserver"
-version = "1.5.0.dev1"
+version = "1.6.0.dev2"
description = "MLServer"
optional = false
python-versions = ">=3.9,<3.12"
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gevent = "*"
geventhttpclient = "*"
grpcio = "*"
-importlib-resources = "^5.12.0"
+importlib-resources = ">=5.12,<7.0"
numpy = "*"
opentelemetry-exporter-otlp-proto-grpc = "^1.22.0"
opentelemetry-instrumentation-fastapi = ">=0.43b0"
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pandas = "*"
protobuf = "*"
py-grpc-prometheus = "*"
-pydantic = "<2.0.0"
+pydantic = "2.7.1"
+pydantic-settings = "2.2.1"
python-dotenv = "*"
python-multipart = "*"
starlette-exporter = "*"
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name = "nvidia-nvjitlink-cu12"
-version = "12.3.101"
+version = "12.5.40"
description = "Nvidia JIT LTO Library"
optional = false
python-versions = ">=3"
files = [
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name = "opentelemetry-api"
-version = "1.23.0"
+version = "1.25.0"
description = "OpenTelemetry Python API"
optional = false
python-versions = ">=3.8"
files = [
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deprecated = ">=1.2.6"
-importlib-metadata = ">=6.0,<7.0"
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python-versions = ">=3.8"
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python-versions = "*"
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python-versions = ">=3.9,<3.12"
-content-hash = "f5aa0080ceaaf25a887ee15a1a3a5616aacbaf152f940bc46c1ac001e19babf8"
+content-hash = "9300a78908ac5538ddab8dee15a6da7c631b63ff83007ceafbee7e4089adeb96"
diff --git a/runtimes/mlflow/pyproject.toml b/runtimes/mlflow/pyproject.toml
index f12e74d46..3f9f691c5 100644
--- a/runtimes/mlflow/pyproject.toml
+++ b/runtimes/mlflow/pyproject.toml
@@ -1,6 +1,6 @@
[tool.poetry]
name = "mlserver-mlflow"
-version = "1.5.0.dev1"
+version = "1.6.0.dev2"
description = "MLflow runtime for MLServer"
authors = ["Seldon Technologies Ltd. <hello@seldon.io>"]
license = "Apache-2.0"
@@ -11,15 +11,14 @@ packages = [{include = "mlserver_mlflow"}]
python = ">=3.9,<3.12"
mlserver = "*"
mlflow = "*"
-pydantic = "<2.0.0"
[tool.poetry.group.dev.dependencies]
mlserver = {path = "../..", develop = true}
torch = "2.2.1"
-pytorch-lightning = "2.2.1"
-torchmetrics = "1.3.2"
+pytorch-lightning = "2.4.0"
+torchmetrics = "1.4.1"
torchvision = "0.17.1"
-mlflow = "2.11.3"
+mlflow = "2.16.0"
[build-system]
requires = ["poetry-core"]
diff --git a/runtimes/mlflow/tests/test_metadata.py b/runtimes/mlflow/tests/test_metadata.py
index a1d2bf679..b49bded0d 100644
--- a/runtimes/mlflow/tests/test_metadata.py
+++ b/runtimes/mlflow/tests/test_metadata.py
@@ -62,7 +62,7 @@ def test_get_content_type(input_spec: InputSpec, expected: Tuple[MDatatype, str]
),
(
ColSpec(name="foo", type=DataType.string),
- [-1],
+ [-1, 1],
),
],
)
@@ -131,13 +131,13 @@ def test_get_shape(input_spec: InputSpec, expected: List[int]):
MetadataTensor(
name="input-0",
datatype="BYTES",
- shape=[-1],
+ shape=[-1, 1],
parameters=Parameters(content_type=StringCodec.ContentType),
),
MetadataTensor(
name="input-1",
datatype="INT32",
- shape=[-1],
+ shape=[-1, 1],
parameters=Parameters(content_type=NumpyCodec.ContentType),
),
],
@@ -169,8 +169,8 @@ def test_to_metadata_tensors(schema: Schema, expected: List[MetadataTensor]):
name="foo",
datatype="BYTES",
parameters=Parameters(content_type=StringCodec.ContentType),
- shape=[2, 11],
- data=b"hello worldhello world",
+ shape=[2],
+ data=[b"hello", b"world"],
),
),
(
@@ -179,8 +179,8 @@ def test_to_metadata_tensors(schema: Schema, expected: List[MetadataTensor]):
name="foo",
datatype="BYTES",
parameters=Parameters(content_type=Base64Codec.ContentType),
- shape=[1, 20],
- data=b"UHl0aG9uIGlzIGZ1bg==",
+ shape=[1],
+ data=[b"UHl0aG9uIGlzIGZ1bg=="],
),
),
(
@@ -189,8 +189,8 @@ def test_to_metadata_tensors(schema: Schema, expected: List[MetadataTensor]):
name="foo",
datatype="BYTES",
parameters=Parameters(content_type=DatetimeCodec.ContentType),
- shape=[1, 19],
- data=b"2021-08-24T15:01:19",
+ shape=[1],
+ data=[b"2021-08-24T15:01:19"],
),
),
],
diff --git a/runtimes/mlflow/tox.ini b/runtimes/mlflow/tox.ini
index 026940b6f..bc9e828df 100644
--- a/runtimes/mlflow/tox.ini
+++ b/runtimes/mlflow/tox.ini
@@ -4,7 +4,7 @@ isolated_build = true
[testenv]
allowlist_externals = poetry
commands_pre =
- poetry install --sync --no-root
+ poetry install --sync --no-root
poetry install -C {toxinidir}/../../
commands =
python -m pytest {posargs} -n auto \
diff --git a/runtimes/mllib/mlserver_mllib/version.py b/runtimes/mllib/mlserver_mllib/version.py
index b7b669e38..a744fe1e9 100644
--- a/runtimes/mllib/mlserver_mllib/version.py
+++ b/runtimes/mllib/mlserver_mllib/version.py
@@ -1 +1 @@
-__version__ = "1.5.0.dev1"
+__version__ = "1.6.0.dev2"
diff --git a/runtimes/mllib/poetry.lock b/runtimes/mllib/poetry.lock
index 60cf8a415..c12d16878 100644
--- a/runtimes/mllib/poetry.lock
+++ b/runtimes/mllib/poetry.lock
@@ -1,4 +1,4 @@
-# This file is automatically @generated by Poetry 1.8.2 and should not be changed by hand.
+# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand.
[[package]]
name = "aiofiles"
@@ -11,92 +11,104 @@ files = [
{file = "aiofiles-23.2.1.tar.gz", hash = "sha256:84ec2218d8419404abcb9f0c02df3f34c6e0a68ed41072acfb1cef5cbc29051a"},
]
+[[package]]
+name = "aiohappyeyeballs"
+version = "2.3.5"
+description = "Happy Eyeballs for asyncio"
+optional = false
+python-versions = ">=3.8"
+files = [
+ {file = "aiohappyeyeballs-2.3.5-py3-none-any.whl", hash = "sha256:4d6dea59215537dbc746e93e779caea8178c866856a721c9c660d7a5a7b8be03"},
+ {file = "aiohappyeyeballs-2.3.5.tar.gz", hash = "sha256:6fa48b9f1317254f122a07a131a86b71ca6946ca989ce6326fff54a99a920105"},
+]
+
[[package]]
name = "aiohttp"
-version = "3.9.3"
+version = "3.10.2"
description = "Async http client/server framework (asyncio)"
optional = false
python-versions = ">=3.8"
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aiosignal = ">=1.1.2"
async-timeout = {version = ">=4.0,<5.0", markers = "python_version < \"3.11\""}
attrs = ">=17.3.0"
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yarl = ">=1.0,<2.0"
[package.extras]
-speedups = ["Brotli", "aiodns", "brotlicffi"]
+speedups = ["Brotli", "aiodns (>=3.2.0)", "brotlicffi"]
[[package]]
name = "aiokafka"
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[package.dependencies]
frozenlist = ">=1.1.0"
+[[package]]
+name = "annotated-types"
+version = "0.7.0"
+description = "Reusable constraint types to use with typing.Annotated"
+optional = false
+python-versions = ">=3.8"
+files = [
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+
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name = "anyio"
-version = "4.3.0"
+version = "4.4.0"
description = "High level compatibility layer for multiple asynchronous event loop implementations"
optional = false
python-versions = ">=3.8"
files = [
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@@ -906,44 +921,44 @@ files = [
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python-versions = ">=3.8"
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description = "MLServer"
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python-versions = ">=3.9,<3.12"
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geventhttpclient = "*"
grpcio = "*"
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numpy = "*"
opentelemetry-exporter-otlp-proto-grpc = "^1.22.0"
opentelemetry-instrumentation-fastapi = ">=0.43b0"
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pandas = "*"
protobuf = "*"
py-grpc-prometheus = "*"
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python-dotenv = "*"
python-multipart = "*"
starlette-exporter = "*"
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description = "OpenTelemetry Python API"
optional = false
python-versions = ">=3.8"
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python-versions = ">=3.8"
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-opentelemetry-sdk = ">=1.23.0,<1.24.0"
-
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name = "opentelemetry-instrumentation-grpc"
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]
[package.dependencies]
setuptools = "*"
[package.extras]
-docs = ["Sphinx", "repoze.sphinx.autointerface", "sphinx_rtd_theme"]
+docs = ["Sphinx", "repoze.sphinx.autointerface", "sphinx-rtd-theme"]
test = ["coverage (>=5.0.3)", "zope.event", "zope.testing"]
testing = ["coverage (>=5.0.3)", "zope.event", "zope.testing"]
[metadata]
lock-version = "2.0"
python-versions = ">=3.9,<3.12"
-content-hash = "1a678c3dfb4977da2152a75faf43abfc3a0c943f8a59a5e491ba27dda5f198c2"
+content-hash = "175e85a10226539ba857db31ccc04039b69ea70ac81ffabb18a3d6e61291045f"
diff --git a/runtimes/mllib/pyproject.toml b/runtimes/mllib/pyproject.toml
index 0302978e9..6d05049af 100644
--- a/runtimes/mllib/pyproject.toml
+++ b/runtimes/mllib/pyproject.toml
@@ -1,6 +1,6 @@
[tool.poetry]
name = "mlserver-mllib"
-version = "1.5.0.dev1"
+version = "1.6.0.dev2"
description = "Spark MLlib runtime for MLServer"
authors = ["Seldon Technologies Ltd. <hello@seldon.io>"]
license = "Apache-2.0"
@@ -11,7 +11,6 @@ packages = [{include = "mlserver_mllib"}]
python = ">=3.9,<3.12"
mlserver = "*"
pyspark = "*"
-pydantic = "<2.0.0"
[tool.poetry.group.dev.dependencies]
mlserver = {path = "../..", develop = true}
diff --git a/runtimes/mllib/tox.ini b/runtimes/mllib/tox.ini
index 026940b6f..bc9e828df 100644
--- a/runtimes/mllib/tox.ini
+++ b/runtimes/mllib/tox.ini
@@ -4,7 +4,7 @@ isolated_build = true
[testenv]
allowlist_externals = poetry
commands_pre =
- poetry install --sync --no-root
+ poetry install --sync --no-root
poetry install -C {toxinidir}/../../
commands =
python -m pytest {posargs} -n auto \
diff --git a/runtimes/sklearn/mlserver_sklearn/version.py b/runtimes/sklearn/mlserver_sklearn/version.py
index b7b669e38..a744fe1e9 100644
--- a/runtimes/sklearn/mlserver_sklearn/version.py
+++ b/runtimes/sklearn/mlserver_sklearn/version.py
@@ -1 +1 @@
-__version__ = "1.5.0.dev1"
+__version__ = "1.6.0.dev2"
diff --git a/runtimes/sklearn/poetry.lock b/runtimes/sklearn/poetry.lock
index 92e590ca7..910a88501 100644
--- a/runtimes/sklearn/poetry.lock
+++ b/runtimes/sklearn/poetry.lock
@@ -1,4 +1,4 @@
-# This file is automatically @generated by Poetry 1.8.2 and should not be changed by hand.
+# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand.
[[package]]
name = "aiofiles"
@@ -11,92 +11,104 @@ files = [
{file = "aiofiles-23.2.1.tar.gz", hash = "sha256:84ec2218d8419404abcb9f0c02df3f34c6e0a68ed41072acfb1cef5cbc29051a"},
]
+[[package]]
+name = "aiohappyeyeballs"
+version = "2.3.5"
+description = "Happy Eyeballs for asyncio"
+optional = false
+python-versions = ">=3.8"
+files = [
+ {file = "aiohappyeyeballs-2.3.5-py3-none-any.whl", hash = "sha256:4d6dea59215537dbc746e93e779caea8178c866856a721c9c660d7a5a7b8be03"},
+ {file = "aiohappyeyeballs-2.3.5.tar.gz", hash = "sha256:6fa48b9f1317254f122a07a131a86b71ca6946ca989ce6326fff54a99a920105"},
+]
+
[[package]]
name = "aiohttp"
-version = "3.9.3"
+version = "3.10.2"
description = "Async http client/server framework (asyncio)"
optional = false
python-versions = ">=3.8"
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name = "aiokafka"
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description = "Python package for providing Mozilla's CA Bundle."
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geventhttpclient = "*"
grpcio = "*"
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protobuf = "*"
py-grpc-prometheus = "*"
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python-multipart = "*"
starlette-exporter = "*"
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]
[package.dependencies]
setuptools = "*"
[package.extras]
-docs = ["Sphinx", "repoze.sphinx.autointerface", "sphinx_rtd_theme"]
+docs = ["Sphinx", "repoze.sphinx.autointerface", "sphinx-rtd-theme"]
test = ["coverage (>=5.0.3)", "zope.event", "zope.testing"]
testing = ["coverage (>=5.0.3)", "zope.event", "zope.testing"]
[metadata]
lock-version = "2.0"
python-versions = ">=3.9,<3.12"
-content-hash = "b1f3fa0ffef3cfb1a5beb42c4a5015e8deea8768cba2447f04ad0e1db10ab378"
+content-hash = "bb72fd618ebbe732b5b5c037aa590339a8a576e147093eda819a56eb025fb5af"
diff --git a/runtimes/sklearn/pyproject.toml b/runtimes/sklearn/pyproject.toml
index e4ae391de..cbca8f0eb 100644
--- a/runtimes/sklearn/pyproject.toml
+++ b/runtimes/sklearn/pyproject.toml
@@ -1,6 +1,6 @@
[tool.poetry]
name = "mlserver-sklearn"
-version = "1.5.0.dev1"
+version = "1.6.0.dev2"
description = "Scikit-Learn runtime for MLServer"
authors = ["Seldon Technologies Ltd. <hello@seldon.io>"]
license = "Apache-2.0"
@@ -12,7 +12,6 @@ python = ">=3.9,<3.12"
scikit-learn = "*"
joblib = "*"
mlserver = "*"
-pydantic = "<2.0.0"
[tool.poetry.group.dev.dependencies]
mlserver = {path = "../..", develop = true}
diff --git a/runtimes/sklearn/tests/conftest.py b/runtimes/sklearn/tests/conftest.py
index d90d26154..a7ef5f04d 100644
--- a/runtimes/sklearn/tests/conftest.py
+++ b/runtimes/sklearn/tests/conftest.py
@@ -160,7 +160,7 @@ def pandas_inference_request() -> InferenceRequest:
},
],
}
- return InferenceRequest.parse_obj(inference_request)
+ return InferenceRequest.model_validate(inference_request)
class DummyDataframeModel(BaseEstimator):
diff --git a/runtimes/sklearn/tox.ini b/runtimes/sklearn/tox.ini
index 026940b6f..bc9e828df 100644
--- a/runtimes/sklearn/tox.ini
+++ b/runtimes/sklearn/tox.ini
@@ -4,7 +4,7 @@ isolated_build = true
[testenv]
allowlist_externals = poetry
commands_pre =
- poetry install --sync --no-root
+ poetry install --sync --no-root
poetry install -C {toxinidir}/../../
commands =
python -m pytest {posargs} -n auto \
diff --git a/runtimes/xgboost/mlserver_xgboost/version.py b/runtimes/xgboost/mlserver_xgboost/version.py
index b7b669e38..a744fe1e9 100644
--- a/runtimes/xgboost/mlserver_xgboost/version.py
+++ b/runtimes/xgboost/mlserver_xgboost/version.py
@@ -1 +1 @@
-__version__ = "1.5.0.dev1"
+__version__ = "1.6.0.dev2"
diff --git a/runtimes/xgboost/poetry.lock b/runtimes/xgboost/poetry.lock
index 2de424b49..ba5159d55 100644
--- a/runtimes/xgboost/poetry.lock
+++ b/runtimes/xgboost/poetry.lock
@@ -1,4 +1,4 @@
-# This file is automatically @generated by Poetry 1.8.2 and should not be changed by hand.
+# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand.
[[package]]
name = "aiofiles"
@@ -11,92 +11,104 @@ files = [
{file = "aiofiles-23.2.1.tar.gz", hash = "sha256:84ec2218d8419404abcb9f0c02df3f34c6e0a68ed41072acfb1cef5cbc29051a"},
]
+[[package]]
+name = "aiohappyeyeballs"
+version = "2.3.5"
+description = "Happy Eyeballs for asyncio"
+optional = false
+python-versions = ">=3.8"
+files = [
+ {file = "aiohappyeyeballs-2.3.5-py3-none-any.whl", hash = "sha256:4d6dea59215537dbc746e93e779caea8178c866856a721c9c660d7a5a7b8be03"},
+ {file = "aiohappyeyeballs-2.3.5.tar.gz", hash = "sha256:6fa48b9f1317254f122a07a131a86b71ca6946ca989ce6326fff54a99a920105"},
+]
+
[[package]]
name = "aiohttp"
-version = "3.9.3"
+version = "3.10.2"
description = "Async http client/server framework (asyncio)"
optional = false
python-versions = ">=3.8"
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aiosignal = ">=1.1.2"
async-timeout = {version = ">=4.0,<5.0", markers = "python_version < \"3.11\""}
attrs = ">=17.3.0"
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yarl = ">=1.0,<2.0"
[package.extras]
-speedups = ["Brotli", "aiodns", "brotlicffi"]
+speedups = ["Brotli", "aiodns (>=3.2.0)", "brotlicffi"]
[[package]]
name = "aiokafka"
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[package.dependencies]
frozenlist = ">=1.1.0"
+[[package]]
+name = "annotated-types"
+version = "0.7.0"
+description = "Reusable constraint types to use with typing.Annotated"
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+python-versions = ">=3.8"
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name = "anyio"
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description = "High level compatibility layer for multiple asynchronous event loop implementations"
optional = false
python-versions = ">=3.8"
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+version = "3.8.1"
description = "ASGI specs, helper code, and adapters"
optional = false
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name = "h11"
@@ -906,55 +921,55 @@ files = [
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name = "importlib-metadata"
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description = "Read metadata from Python packages"
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python-versions = ">=3.8"
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name = "joblib"
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description = "Lightweight pipelining with Python functions"
optional = false
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python-versions = ">=3.9,<3.12"
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gevent = "*"
geventhttpclient = "*"
grpcio = "*"
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numpy = "*"
opentelemetry-exporter-otlp-proto-grpc = "^1.22.0"
opentelemetry-instrumentation-fastapi = ">=0.43b0"
@@ -979,7 +994,8 @@ orjson = "*"
pandas = "*"
protobuf = "*"
py-grpc-prometheus = "*"
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+pydantic = "2.7.1"
+pydantic-settings = "2.2.1"
python-dotenv = "*"
python-multipart = "*"
starlette-exporter = "*"
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optional = false
python-versions = ">=3.8"
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name = "opentelemetry-exporter-otlp-proto-common"
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description = "OpenTelemetry Protobuf encoding"
optional = false
python-versions = ">=3.8"
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name = "opentelemetry-exporter-otlp-proto-grpc"
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description = "OpenTelemetry Collector Protobuf over gRPC Exporter"
optional = false
python-versions = ">=3.8"
files = [
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-opentelemetry-sdk = ">=1.23.0,<1.24.0"
-
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+opentelemetry-proto = "1.25.0"
+opentelemetry-sdk = ">=1.25.0,<1.26.0"
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[[package]]
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+version = "0.46b0"
description = "ASGI instrumentation for OpenTelemetry"
optional = false
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[[package]]
name = "opentelemetry-instrumentation-fastapi"
-version = "0.44b0"
+version = "0.46b0"
description = "OpenTelemetry FastAPI Instrumentation"
optional = false
python-versions = ">=3.8"
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name = "starlette-exporter"
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scikit-learn = {version = "*", optional = true, markers = "extra == \"scikit-learn\""}
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plotting = ["graphviz", "matplotlib"]
pyspark = ["cloudpickle", "pyspark", "scikit-learn"]
scikit-learn = ["scikit-learn"]
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python-versions = ">=3.7"
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]
[package.dependencies]
setuptools = "*"
[package.extras]
-docs = ["Sphinx", "repoze.sphinx.autointerface", "sphinx_rtd_theme"]
+docs = ["Sphinx", "repoze.sphinx.autointerface", "sphinx-rtd-theme"]
test = ["coverage (>=5.0.3)", "zope.event", "zope.testing"]
testing = ["coverage (>=5.0.3)", "zope.event", "zope.testing"]
[metadata]
lock-version = "2.0"
python-versions = ">=3.9,<3.12"
-content-hash = "cfc7fd94e228cd1879881acf896480aaa19f2b08f19067f16202b46ee66dc3d0"
+content-hash = "7ef0f227a65c6fd22d405431230e48fad1476173591b8747617d288f721e3702"
diff --git a/runtimes/xgboost/pyproject.toml b/runtimes/xgboost/pyproject.toml
index ed23ed137..108a2c510 100644
--- a/runtimes/xgboost/pyproject.toml
+++ b/runtimes/xgboost/pyproject.toml
@@ -1,6 +1,6 @@
[tool.poetry]
name = "mlserver-xgboost"
-version = "1.5.0.dev1"
+version = "1.6.0.dev2"
description = "XGBoost runtime for MLServer"
authors = ["Seldon Technologies Ltd. <hello@seldon.io>"]
license = "Apache-2.0"
@@ -11,7 +11,6 @@ packages = [{include = "mlserver_xgboost"}]
python = ">=3.9,<3.12"
mlserver = "*"
xgboost = {extras = ["scikit-learn"], version = "*"}
-pydantic = "<2.0.0"
[tool.poetry.group.dev.dependencies]
mlserver = {path = "../..", develop = true}
diff --git a/runtimes/xgboost/tests/conftest.py b/runtimes/xgboost/tests/conftest.py
index 13272290c..8847277a3 100644
--- a/runtimes/xgboost/tests/conftest.py
+++ b/runtimes/xgboost/tests/conftest.py
@@ -50,7 +50,7 @@ def classifier_uri(tmp_path) -> str:
clf = xgb.XGBClassifier(
num_class=c, use_label_encoder=False, objective="multi:softprob"
)
- clf.fit(X_train, y_train, eval_metric="mlogloss")
+ clf.fit(X_train, y_train, eval_set=[(X_train, y_train)])
model_uri = os.path.join(tmp_path, "xgboost-model.json")
clf.save_model(model_uri)
diff --git a/runtimes/xgboost/tox.ini b/runtimes/xgboost/tox.ini
index 026940b6f..bc9e828df 100644
--- a/runtimes/xgboost/tox.ini
+++ b/runtimes/xgboost/tox.ini
@@ -4,7 +4,7 @@ isolated_build = true
[testenv]
allowlist_externals = poetry
commands_pre =
- poetry install --sync --no-root
+ poetry install --sync --no-root
poetry install -C {toxinidir}/../../
commands =
python -m pytest {posargs} -n auto \
diff --git a/tests/batch_processing/test_rest.py b/tests/batch_processing/test_rest.py
index 740cd455a..9262178b4 100644
--- a/tests/batch_processing/test_rest.py
+++ b/tests/batch_processing/test_rest.py
@@ -134,9 +134,11 @@ async def test_invalid(
"status": "preprocessing error",
"msg": [
{
+ "type": "missing",
"loc": ["inputs", 0, "datatype"],
- "msg": "field required",
- "type": "value_error.missing",
+ "msg": "Field required",
+ "input": {"name": "input-0", "shape": [1, 3], "data": [1, 2, 3]},
+ "url": "https://errors.pydantic.dev/2.7/v/missing",
}
],
},
@@ -185,9 +187,11 @@ async def test_invalid_among_many(
"status": "preprocessing error",
"msg": [
{
+ "type": "missing",
"loc": ["inputs", 0, "datatype"],
- "msg": "field required",
- "type": "value_error.missing",
+ "msg": "Field required",
+ "input": {"name": "input-0", "shape": [1, 3], "data": [1, 2, 3]},
+ "url": "https://errors.pydantic.dev/2.7/v/missing",
}
],
},
diff --git a/tests/batching/conftest.py b/tests/batching/conftest.py
index f951533d2..d2f26c4fb 100644
--- a/tests/batching/conftest.py
+++ b/tests/batching/conftest.py
@@ -43,9 +43,7 @@ async def _send_request():
# Generate random data to ensure we catch any out-of-order issues
request_input = inference_request.inputs[0]
- request_input.data = TensorData(
- __root__=[random.randint(1, 100) for _ in range(3)]
- )
+ request_input.data = TensorData(root=[random.randint(1, 100) for _ in range(3)])
new_req = InferenceRequest(id=pred_id, inputs=[request_input])
internal_id, _ = await adaptive_batcher._queue_request(new_req)
diff --git a/tests/batching/test_hooks.py b/tests/batching/test_hooks.py
index e573298c7..4e6a43203 100644
--- a/tests/batching/test_hooks.py
+++ b/tests/batching/test_hooks.py
@@ -16,6 +16,26 @@ async def test_batching_predict(
assert len(response.outputs) == 1
+async def test_batching_predict_stream(
+ text_stream_model: MLModel, generate_request: InferenceRequest, caplog
+):
+ # Force batching to be enabled
+ text_stream_model.settings.max_batch_size = 10
+ text_stream_model.settings.max_batch_time = 0.4
+ await load_batching(text_stream_model)
+
+ async def get_stream_request(request):
+ yield request
+
+ stream = text_stream_model.predict_stream(get_stream_request(generate_request))
+ responses = [r async for r in stream]
+
+ assert len(responses) > 0
+ assert isinstance(responses[0], InferenceResponse)
+ assert len(responses[0].outputs) == 1
+ assert "not supported for inference streaming" in caplog.records[0].message
+
+
@pytest.mark.parametrize(
"max_batch_size, max_batch_time",
[
diff --git a/tests/cli/test_build_cases.py b/tests/cli/test_build_cases.py
index f8bccd303..e1bdab2e5 100644
--- a/tests/cli/test_build_cases.py
+++ b/tests/cli/test_build_cases.py
@@ -5,6 +5,7 @@
from typing import List
from ..conftest import TESTS_PATH, TESTDATA_PATH
+from ..utils import _render_env_yml
def _copy_test_files(
@@ -38,7 +39,11 @@ def case_environment_yml(tmp_path: str) -> str:
"""
Custom model with environment provided through an environment.yml file.
"""
- to_copy = ["env_models.py", "environment.yml"]
+ to_copy = ["env_models.py"]
+ _render_env_yml(
+ os.path.join(TESTDATA_PATH, "environment.yml"),
+ os.path.join(tmp_path, "environment.yml"),
+ )
model_settings = {
"name": "environment-yml",
"implementation": "env_models.DummySKLearnModel",
diff --git a/tests/cli/test_serve.py b/tests/cli/test_serve.py
index 91eeca4ef..033a881e2 100644
--- a/tests/cli/test_serve.py
+++ b/tests/cli/test_serve.py
@@ -20,7 +20,7 @@ async def test_disable_load_models(settings: Settings, model_folder: str):
settings_path = os.path.join(model_folder, DEFAULT_SETTINGS_FILENAME)
with open(settings_path, "w") as settings_file:
- settings_file.write(settings.json())
+ settings_file.write(settings.model_dump_json())
_, models_settings = await load_settings(model_folder)
diff --git a/tests/cli/test_start_cases.py b/tests/cli/test_start_cases.py
index 642b7f714..e24e41e56 100644
--- a/tests/cli/test_start_cases.py
+++ b/tests/cli/test_start_cases.py
@@ -13,7 +13,7 @@ def _init_mlserver_folder(tmp_path: str, settings: Settings):
# Write settings.json with free ports
settings_path = os.path.join(tmp_path, DEFAULT_SETTINGS_FILENAME)
with open(settings_path, "w") as settings_file:
- settings_file.write(settings.json())
+ settings_file.write(settings.model_dump_json())
# Copy fixtures.py module
src_path = os.path.join(TESTS_PATH, "fixtures.py")
@@ -60,7 +60,7 @@ def case_custom_module(
# Write model settings pointing to local module
model_settings_path = os.path.join(model_folder, DEFAULT_MODEL_SETTINGS_FILENAME)
with open(model_settings_path, "w") as model_settings_file:
- as_dict = sum_model_settings.dict()
+ as_dict = sum_model_settings.model_dump()
as_dict["implementation"] = "custom.SumModel"
model_settings_file.write(json.dumps(as_dict))
diff --git a/tests/codecs/test_json.py b/tests/codecs/test_json.py
new file mode 100644
index 000000000..b3d98d689
--- /dev/null
+++ b/tests/codecs/test_json.py
@@ -0,0 +1,40 @@
+import pytest
+
+from typing import Any, Union
+
+from mlserver.codecs.json import decode_from_bytelike_json_to_dict, encode_to_json_bytes
+
+
+@pytest.mark.parametrize(
+ "input, expected",
+ [
+ (b"{}", dict()),
+ ("{}", dict()),
+ ('{"hello":"world"}', {"hello": "world"}),
+ (b'{"hello":"world"}', {"hello": "world"}),
+ (b'{"hello":"' + "world".encode("utf-8") + b'"}', {"hello": "world"}),
+ (
+ b'{"hello":"' + "world".encode("utf-8") + b'", "foo": { "bar": "baz" } }',
+ {"hello": "world", "foo": {"bar": "baz"}},
+ ),
+ ],
+)
+def test_decode_input(input: Union[str, bytes], expected: dict):
+ assert expected == decode_from_bytelike_json_to_dict(input)
+
+
+@pytest.mark.parametrize(
+ # input and expected are flipped here for easier CTRL+C / V
+ "expected, input",
+ [
+ (b"{}", dict()),
+ (b'{"hello":"world"}', {"hello": "world"}),
+ (b'{"hello":"' + "world".encode("utf-8") + b'"}', {"hello": "world"}),
+ (
+ b'{"hello":"' + "world".encode("utf-8") + b'","foo":{"bar":"baz"}}',
+ {"hello": b"world", "foo": {"bar": "baz"}},
+ ),
+ ],
+)
+def test_encode_input(input: Any, expected: bytes):
+ assert expected == encode_to_json_bytes(input)
diff --git a/tests/codecs/test_pandas.py b/tests/codecs/test_pandas.py
index 7df5ab533..3b6c19d2f 100644
--- a/tests/codecs/test_pandas.py
+++ b/tests/codecs/test_pandas.py
@@ -321,10 +321,10 @@ def test_encode_request(
inputs=[
RequestInput(
name="a",
- data=[1, 2, 3],
- datatype="FP32",
- shape=[1, 3],
- parameters=Parameters(_decoded_payload=np.array([[1, 2, 3]])),
+ data=[[1, 2, 3]],
+ datatype="BYTES",
+ shape=[1, 1],
+ parameters=Parameters(_decoded_payload=[[1, 2, 3]]),
),
RequestInput(
name="b",
@@ -335,7 +335,7 @@ def test_encode_request(
),
]
),
- pd.DataFrame({"a": [np.array([1, 2, 3])], "b": ["hello world"]}),
+ pd.DataFrame({"a": [[1, 2, 3]], "b": ["hello world"]}),
),
(
InferenceRequest(
@@ -343,7 +343,7 @@ def test_encode_request(
RequestInput(
name="a",
data=[1, 2, 3],
- datatype="FP32",
+ datatype="INT64",
shape=[3, 1],
parameters=Parameters(
_decoded_payload=np.array([[1], [2], [3]])
@@ -359,7 +359,7 @@ def test_encode_request(
),
pd.DataFrame(
{
- "a": [[1], [2], [3]],
+ "a": [1, 2, 3],
"b": [a for a in b"ABC"],
}
),
diff --git a/tests/codecs/test_string.py b/tests/codecs/test_string.py
index 008caa710..41cb51fa4 100644
--- a/tests/codecs/test_string.py
+++ b/tests/codecs/test_string.py
@@ -159,6 +159,6 @@ def test_encode_input(decoded, use_bytes, expected):
name="foo", payload=decoded, use_bytes=use_bytes
)
- assert request_input.data.__root__ == response_output.data.__root__
+ assert request_input.data == response_output.data
assert response_output.datatype == request_input.datatype
assert request_input.parameters.content_type == StringCodec.ContentType
diff --git a/tests/conftest.py b/tests/conftest.py
index a75c84a37..7f8dc6161 100644
--- a/tests/conftest.py
+++ b/tests/conftest.py
@@ -6,7 +6,7 @@
import json
from filelock import FileLock
-from typing import Dict, Any
+from typing import Dict, Any, Tuple
from starlette_exporter import PrometheusMiddleware
from prometheus_client.registry import REGISTRY, CollectorRegistry
from unittest.mock import Mock
@@ -26,9 +26,16 @@
from mlserver import types, Settings, ModelSettings, MLServer
from .metrics.utils import unregister_metrics
-from .fixtures import SumModel, ErrorModel, SimpleModel
+from .fixtures import SumModel, TextModel, TextStreamModel, ErrorModel, SimpleModel
from .utils import RESTClient, get_available_ports, _pack, _get_tarball_name
+MIN_PYTHON_VERSION = (3, 9)
+MAX_PYTHON_VERSION = (3, 10)
+PYTHON_VERSIONS = [
+ (major, minor)
+ for major in range(MIN_PYTHON_VERSION[0], MAX_PYTHON_VERSION[0] + 1)
+ for minor in range(MIN_PYTHON_VERSION[1], MAX_PYTHON_VERSION[1] + 1)
+]
TESTS_PATH = os.path.dirname(__file__)
TESTDATA_PATH = os.path.join(TESTS_PATH, "testdata")
TESTDATA_CACHE_PATH = os.path.join(TESTDATA_PATH, ".cache")
@@ -59,9 +66,20 @@ def testdata_cache_path() -> str:
return TESTDATA_CACHE_PATH
+@pytest.fixture(
+ params=PYTHON_VERSIONS,
+ ids=[f"py{major}{minor}" for (major, minor) in PYTHON_VERSIONS],
+)
+def env_python_version(request: pytest.FixtureRequest) -> Tuple[int, int]:
+ return request.param
+
+
@pytest.fixture
-async def env_tarball(testdata_cache_path: str) -> str:
- tarball_name = _get_tarball_name()
+async def env_tarball(
+ env_python_version: Tuple[int, int],
+ testdata_cache_path: str,
+) -> str:
+ tarball_name = _get_tarball_name(env_python_version)
tarball_path = os.path.join(testdata_cache_path, tarball_name)
with FileLock(f"{tarball_path}.lock"):
@@ -69,7 +87,7 @@ async def env_tarball(testdata_cache_path: str) -> str:
return tarball_path
env_yml = os.path.join(TESTDATA_PATH, "environment.yml")
- await _pack(env_yml, tarball_path)
+ await _pack(env_python_version, env_yml, tarball_path)
return tarball_path
@@ -79,10 +97,6 @@ async def env(env_tarball: str, tmp_path: str) -> Environment:
env = await Environment.from_tarball(env_tarball, str(tmp_path))
yield env
- # Envs can be quite heavy, so let's make sure we're clearing them up once
- # the test finishes
- shutil.rmtree(tmp_path)
-
@pytest.fixture(autouse=True)
def logger(settings: Settings):
@@ -173,6 +187,43 @@ async def sum_model(
return await model_registry.get_model(sum_model_settings.name)
+@pytest.fixture
+def text_model_settings() -> ModelSettings:
+ return ModelSettings(
+ name="text-model",
+ implementation=TextModel,
+ parallel_workers=0,
+ parameters={"version": "v1.2.3"},
+ )
+
+
+@pytest.fixture
+async def text_model(
+ model_registry: MultiModelRegistry, text_model_settings: ModelSettings
+) -> TextModel:
+ await model_registry.load(text_model_settings)
+ return await model_registry.get_model(text_model_settings.name)
+
+
+@pytest.fixture
+def text_stream_model_settings() -> ModelSettings:
+ # TODO: Enable parallel_workers once stream is supported
+ return ModelSettings(
+ name="text-stream-model",
+ implementation=TextStreamModel,
+ parallel_workers=0,
+ parameters={"version": "v1.2.3"},
+ )
+
+
+@pytest.fixture
+async def text_stream_model(
+ model_registry: MultiModelRegistry, text_stream_model_settings: ModelSettings
+) -> TextModel:
+ await model_registry.load(text_stream_model_settings)
+ return await model_registry.get_model(text_stream_model_settings.name)
+
+
@pytest.fixture
def metadata_server_response() -> types.MetadataServerResponse:
payload_path = os.path.join(TESTDATA_PATH, "metadata-server-response.json")
@@ -191,6 +242,12 @@ def inference_request() -> types.InferenceRequest:
return types.InferenceRequest.parse_file(payload_path)
+@pytest.fixture
+def generate_request() -> types.InferenceRequest:
+ payload_path = os.path.join(TESTDATA_PATH, "generate-request.json")
+ return types.InferenceRequest.parse_file(payload_path)
+
+
@pytest.fixture
def inference_request_invalid_datatype() -> Dict[str, Any]:
payload_path = os.path.join(
@@ -220,6 +277,12 @@ def settings() -> Settings:
return Settings.parse_file(settings_path)
+@pytest.fixture
+def settings_stream() -> Settings:
+ settings_path = os.path.join(TESTDATA_PATH, "settings-stream.json")
+ return Settings.parse_file(settings_path)
+
+
@pytest.fixture
def data_plane(
settings: Settings,
@@ -263,7 +326,7 @@ def repository_index_request() -> types.RepositoryIndexRequest:
@pytest.fixture
def repository_index_response(sum_model_settings) -> types.RepositoryIndexResponse:
return types.RepositoryIndexResponse(
- __root__=[
+ root=[
types.RepositoryIndexResponseItem(
name=sum_model_settings.name,
version=sum_model_settings.parameters.version,
@@ -337,9 +400,9 @@ async def inference_pool_registry(
@pytest.fixture
def datatype_error_message():
error_message = (
- "value is not a valid enumeration member;"
- " permitted: 'BOOL', 'UINT8', 'UINT16', 'UINT32',"
+ "Input should be"
+ " 'BOOL', 'UINT8', 'UINT16', 'UINT32',"
" 'UINT64', 'INT8', 'INT16', 'INT32', 'INT64',"
- " 'FP16', 'FP32', 'FP64', 'BYTES'"
+ " 'FP16', 'FP32', 'FP64' or 'BYTES'"
)
return error_message
diff --git a/tests/fixtures.py b/tests/fixtures.py
index b99e9287a..a5c19a7e1 100644
--- a/tests/fixtures.py
+++ b/tests/fixtures.py
@@ -14,7 +14,7 @@
except ImportError:
sklearn = None
-from typing import Dict, List
+from typing import Dict, List, AsyncIterator
from mlserver import MLModel
from mlserver.types import (
@@ -64,6 +64,47 @@ async def predict(self, payload: InferenceRequest) -> InferenceResponse:
return response
+class TextModel(MLModel):
+ async def predict(self, payload: InferenceRequest) -> InferenceResponse:
+ text = StringCodec.decode_input(payload.inputs[0])[0]
+ return InferenceResponse(
+ model_name=self._settings.name,
+ outputs=[
+ StringCodec.encode_output(
+ name="output",
+ payload=[text],
+ use_bytes=True,
+ ),
+ ],
+ )
+
+
+class TextStreamModel(MLModel):
+ async def predict_stream(
+ self, payloads: AsyncIterator[InferenceRequest]
+ ) -> AsyncIterator[InferenceResponse]:
+ payload = [_ async for _ in payloads][0]
+ text = StringCodec.decode_input(payload.inputs[0])[0]
+ words = text.split(" ")
+
+ split_text = []
+ for i, word in enumerate(words):
+ split_text.append(word if i == 0 else " " + word)
+
+ for word in split_text:
+ await asyncio.sleep(0.5)
+ yield InferenceResponse(
+ model_name=self._settings.name,
+ outputs=[
+ StringCodec.encode_output(
+ name="output",
+ payload=[word],
+ use_bytes=True,
+ ),
+ ],
+ )
+
+
class ErrorModel(MLModel):
error_message = "something really bad happened"
diff --git a/tests/grpc/conftest.py b/tests/grpc/conftest.py
index 8d8140aa9..f5c6a950d 100644
--- a/tests/grpc/conftest.py
+++ b/tests/grpc/conftest.py
@@ -58,6 +58,12 @@ def model_infer_request() -> pb.ModelInferRequest:
return _read_testdata_pb(payload_path, pb.ModelInferRequest)
+@pytest.fixture
+def model_generate_request() -> pb.ModelInferRequest:
+ payload_path = os.path.join(TESTDATA_GRPC_PATH, "model-generate-request.json")
+ return _read_testdata_pb(payload_path, pb.ModelInferRequest)
+
+
@pytest.fixture
def model_infer_request_invalid_datatype() -> pb.ModelInferRequest:
payload_path = os.path.join(
diff --git a/tests/grpc/test_converters.py b/tests/grpc/test_converters.py
index 95ff34387..9498cc72e 100644
--- a/tests/grpc/test_converters.py
+++ b/tests/grpc/test_converters.py
@@ -100,7 +100,7 @@ def test_modelinferrequest_to_types(model_infer_request):
name="input-0",
datatype="INT32",
shape=[1, 3],
- data=types.TensorData.parse_obj([1, 2, 3]),
+ data=types.TensorData.model_validate([1, 2, 3]),
parameters=types.Parameters(content_type="np"),
)
],
@@ -154,7 +154,7 @@ def test_modelinferrequest_from_types(use_raw, expected):
name="input-0",
datatype="FP32",
shape=[1],
- data=types.TensorData.parse_obj([21.0]),
+ data=types.TensorData.model_validate([21.0]),
)
],
)
@@ -250,14 +250,16 @@ def test_modelinferresponse_from_types(inference_response, use_raw, expected):
)
def test_modelinferresponse_to_types(model_infer_response):
expected = types.InferenceResponse(
- id="",
model_name="foo",
+ model_version=None,
+ id="",
+ parameters=None,
outputs=[
types.ResponseOutput(
name="input-0",
- datatype="INT32",
shape=[1, 3],
- parameters=types.Parameters(content_type="np"),
+ datatype="INT32",
+ parameters=types.Parameters(content_type="np", headers=None),
data=[1, 2, 3],
)
],
diff --git a/tests/grpc/test_interceptor.py b/tests/grpc/test_interceptor.py
new file mode 100644
index 000000000..ca3a7f007
--- /dev/null
+++ b/tests/grpc/test_interceptor.py
@@ -0,0 +1,129 @@
+import pytest
+from pytest_lazyfixture import lazy_fixture
+
+from typing import AsyncGenerator
+
+from grpc import StatusCode
+from mlserver.grpc.interceptors import PromServerInterceptor
+from mlserver.codecs import StringCodec
+from mlserver.grpc import converters
+from mlserver.grpc.server import GRPCServer
+from mlserver.grpc.dataplane_pb2_grpc import GRPCInferenceServiceStub
+from mlserver.grpc import dataplane_pb2 as pb
+
+
+@pytest.mark.parametrize("sum_model", [lazy_fixture("text_model")])
+@pytest.mark.parametrize("sum_model_settings", [lazy_fixture("text_model_settings")])
+async def test_prometheus_unary_unary(
+ grpc_server: GRPCServer,
+ inference_service_stub: AsyncGenerator[GRPCInferenceServiceStub, None],
+ model_generate_request: pb.ModelInferRequest,
+):
+ # send 10 requests
+ num_requests = 10
+ for _ in range(num_requests):
+ _ = await inference_service_stub.ModelInfer(model_generate_request)
+
+ grpc_type = "UNARY"
+ grpc_service_name = "inference.GRPCInferenceService"
+ grpc_method_name = "ModelInfer"
+ prom_interceptor = [
+ interceptor
+ for interceptor in grpc_server._interceptors
+ if isinstance(interceptor, PromServerInterceptor)
+ ][0]
+
+ # get the number of requests intercepted
+ counted_requests = (
+ prom_interceptor._interceptor._metrics["grpc_server_started_counter"]
+ .labels(
+ grpc_type,
+ grpc_service_name,
+ grpc_method_name,
+ )
+ ._value.get()
+ )
+
+ # get the number of ok responses intercepted
+ counted_responses = (
+ prom_interceptor._interceptor._grpc_server_handled_total_counter.labels(
+ grpc_type,
+ grpc_service_name,
+ grpc_method_name,
+ StatusCode.OK.name,
+ )._value.get()
+ )
+
+ assert int(counted_requests) == num_requests
+ assert int(counted_requests) == int(counted_responses)
+
+
+@pytest.mark.parametrize("settings", [lazy_fixture("settings_stream")])
+@pytest.mark.parametrize("sum_model", [lazy_fixture("text_stream_model")])
+@pytest.mark.parametrize("model_name", ["text-stream-model"])
+@pytest.mark.parametrize(
+ "sum_model_settings", [lazy_fixture("text_stream_model_settings")]
+)
+async def test_prometheus_stream_stream(
+ grpc_server: GRPCServer,
+ inference_service_stub: AsyncGenerator[GRPCInferenceServiceStub, None],
+ model_generate_request: pb.ModelInferRequest,
+ model_name: str,
+):
+ model_generate_request.model_name = model_name
+
+ async def get_stream_request(request):
+ yield request
+
+ # send 10 requests
+ num_requests = 10
+ for _ in range(num_requests):
+ _ = [
+ _
+ async for _ in inference_service_stub.ModelStreamInfer(
+ get_stream_request(model_generate_request)
+ )
+ ]
+
+ grpc_type = "BIDI_STREAMING"
+ grpc_service_name = "inference.GRPCInferenceService"
+ grpc_method_name = "ModelStreamInfer"
+ prom_interceptor = [
+ interceptor
+ for interceptor in grpc_server._interceptors
+ if isinstance(interceptor, PromServerInterceptor)
+ ][0]
+
+ # get the number of requests intercepted
+ counted_requests = (
+ prom_interceptor._interceptor._metrics["grpc_server_stream_msg_received"]
+ .labels(
+ grpc_type,
+ grpc_service_name,
+ grpc_method_name,
+ )
+ ._value.get()
+ )
+
+ # get the number of ok responses intercepted
+ counted_responses = (
+ prom_interceptor._interceptor._metrics["grpc_server_stream_msg_sent"]
+ .labels(
+ grpc_type,
+ grpc_service_name,
+ grpc_method_name,
+ )
+ ._value.get()
+ )
+
+ inference_request_g = converters.ModelInferRequestConverter.to_types(
+ model_generate_request
+ )
+
+ # we count the number of words because
+ # each word is gonna be streamed back
+ request_text = StringCodec.decode_input(inference_request_g.inputs[0])[0]
+ num_words = len(request_text.split())
+
+ assert int(counted_requests) == num_requests
+ assert int(counted_requests) * num_words == int(counted_responses)
diff --git a/tests/grpc/test_servicers.py b/tests/grpc/test_servicers.py
index f2be6aa92..618c386f3 100644
--- a/tests/grpc/test_servicers.py
+++ b/tests/grpc/test_servicers.py
@@ -1,5 +1,6 @@
-import pytest
import grpc
+import pytest
+from pytest_lazyfixture import lazy_fixture
from mlserver.cloudevents import (
@@ -74,13 +75,48 @@ async def test_model_infer(
model_infer_request.ClearField("model_version")
prediction = await inference_service_stub.ModelInfer(model_infer_request)
-
expected = pb.InferTensorContents(int64_contents=[6])
assert len(prediction.outputs) == 1
assert prediction.outputs[0].contents == expected
+@pytest.mark.parametrize("settings", [lazy_fixture("settings_stream")])
+@pytest.mark.parametrize(
+ "sum_model_settings", [lazy_fixture("text_stream_model_settings")]
+)
+@pytest.mark.parametrize("sum_model", [lazy_fixture("text_stream_model")])
+@pytest.mark.parametrize(
+ "model_name,model_version",
+ [("text-stream-model", "v1.2.3"), ("text-stream-model", None)],
+)
+async def test_model_stream_infer(
+ inference_service_stub,
+ model_generate_request,
+ model_name,
+ model_version,
+):
+ model_generate_request.model_name = model_name
+ if model_version is not None:
+ model_generate_request.model_version = model_version
+ else:
+ model_generate_request.ClearField("model_version")
+
+ i = -1
+ text = ["What", " is", " the", " capital", " of", " France?"]
+
+ async def get_stream_request(request):
+ yield request
+
+ async for prediction in inference_service_stub.ModelStreamInfer(
+ get_stream_request(model_generate_request)
+ ):
+ i += 1
+ expected = pb.InferTensorContents(bytes_contents=[text[i].encode()])
+ assert len(prediction.outputs) == 1
+ assert prediction.outputs[0].contents == expected
+
+
async def test_model_infer_raw_contents(inference_service_stub, model_infer_request):
# Prepare request with raw contents
for input_tensor in model_infer_request.inputs:
@@ -142,6 +178,26 @@ async def test_model_infer_error(inference_service_stub, model_infer_request):
assert err.value.details() == "Model my-model with version v1.2.3 not found"
+@pytest.mark.parametrize("settings", [lazy_fixture("settings_stream")])
+@pytest.mark.parametrize(
+ "sum_model_settings", [lazy_fixture("text_stream_model_settings")]
+)
+@pytest.mark.parametrize("sum_model", [lazy_fixture("text_stream_model")])
+async def test_model_stream_infer_error(inference_service_stub, model_generate_request):
+ async def get_stream_request(request):
+ yield request
+
+ with pytest.raises(grpc.RpcError) as err:
+ model_generate_request.model_name = "my-model"
+ async for _ in inference_service_stub.ModelStreamInfer(
+ get_stream_request(model_generate_request)
+ ):
+ pass
+
+ assert err.value.code() == grpc.StatusCode.NOT_FOUND
+ assert err.value.details() == "Model my-model with version v1.2.3 not found"
+
+
async def test_model_repository_index(
inference_service_stub,
grpc_repository_index_request,
@@ -199,4 +255,10 @@ async def test_infer_invalid_datatype_error(
model_infer_request_invalid_datatype
)
- assert exc_info.value.details() == "'INT322' is not a valid Datatype"
+ assert exc_info.value.details() == (
+ "1 validation error for RequestInput\ndatatype\n Input should be "
+ "'BOOL', 'UINT8', 'UINT16', 'UINT32', 'UINT64', 'INT8', 'INT16', "
+ "'INT32', 'INT64', 'FP16', 'FP32', 'FP64' or 'BYTES' [type=enum, "
+ "input_value='INT322', input_type=str]\n For further "
+ "information visit https://errors.pydantic.dev/2.7/v/enum"
+ )
diff --git a/tests/handlers/test_dataplane.py b/tests/handlers/test_dataplane.py
index f31bebc94..2871f81b7 100644
--- a/tests/handlers/test_dataplane.py
+++ b/tests/handlers/test_dataplane.py
@@ -3,7 +3,7 @@
from mlserver.errors import ModelNotReady
from mlserver.settings import ModelSettings, ModelParameters
-from mlserver.types import MetadataTensor, InferenceResponse
+from mlserver.types import MetadataTensor, InferenceResponse, TensorData
from ..fixtures import SumModel
@@ -93,7 +93,24 @@ async def test_infer(data_plane, sum_model, inference_request):
)
assert len(prediction.outputs) == 1
- assert prediction.outputs[0].data.__root__ == [6]
+ assert prediction.outputs[0].data == TensorData(root=[6])
+
+
+async def test_infer_stream(data_plane, text_stream_model, generate_request):
+ async def streamed_request(request):
+ yield request
+
+ stream = data_plane.infer_stream(
+ payloads=streamed_request(generate_request),
+ name=text_stream_model.name,
+ version=text_stream_model.version,
+ )
+
+ completion = [tok async for tok in stream]
+ assert len(completion) == 6
+
+ concat_completion = b"".join([tok.outputs[0].data.root[0] for tok in completion])
+ assert concat_completion == b"What is the capital of France?"
async def test_infer_error_not_ready(data_plane, sum_model, inference_request):
@@ -117,7 +134,7 @@ async def test_infer_generates_uuid(data_plane, sum_model, inference_request):
async def test_infer_response_cache(cached_data_plane, sum_model, inference_request):
- cache_key = inference_request.json()
+ cache_key = inference_request.model_dump_json()
payload = inference_request.copy(deep=True)
prediction = await cached_data_plane.infer(
payload=payload, name=sum_model.name, version=sum_model.version
@@ -131,7 +148,6 @@ async def test_infer_response_cache(cached_data_plane, sum_model, inference_requ
cached_response = InferenceResponse.parse_raw(cache_value)
assert cached_response.model_name == prediction.model_name
assert cached_response.model_version == prediction.model_version
- assert cached_response.Config == prediction.Config
assert cached_response.outputs == prediction.outputs
prediction = await cached_data_plane.infer(
@@ -142,7 +158,6 @@ async def test_infer_response_cache(cached_data_plane, sum_model, inference_requ
assert await response_cache.size() == 1
assert cached_response.model_name == prediction.model_name
assert cached_response.model_version == prediction.model_version
- assert cached_response.Config == prediction.Config
assert cached_response.outputs == prediction.outputs
diff --git a/tests/parallel/conftest.py b/tests/parallel/conftest.py
index 09843d2c9..a596ae16f 100644
--- a/tests/parallel/conftest.py
+++ b/tests/parallel/conftest.py
@@ -10,7 +10,7 @@
from mlserver.env import Environment
from mlserver.parallel.dispatcher import Dispatcher
from mlserver.parallel.model import ModelMethods
-from mlserver.parallel.pool import InferencePool
+from mlserver.parallel.pool import InferencePool, _spawn_worker
from mlserver.parallel.worker import Worker
from mlserver.parallel.utils import configure_inference_pool, cancel_task
from mlserver.parallel.messages import (
@@ -161,6 +161,21 @@ def env_model_settings(env_tarball: str) -> ModelSettings:
)
+@pytest.fixture
+def existing_env_model_settings(env_tarball: str, tmp_path) -> ModelSettings:
+ from mlserver.env import _extract_env
+
+ env_path = str(tmp_path)
+
+ _extract_env(env_tarball, env_path)
+ model_settings = ModelSettings(
+ name="exising_env_model",
+ implementation=EnvModel,
+ parameters=ModelParameters(environment_path=env_path),
+ )
+ yield model_settings
+
+
@pytest.fixture
async def worker_with_env(
settings: Settings,
@@ -170,9 +185,7 @@ async def worker_with_env(
):
# NOTE: This fixture will start an actual worker running on a separate
# process.
- worker = Worker(settings, responses, env)
-
- worker.start()
+ worker = _spawn_worker(settings, responses, env)
load_message = ModelUpdateMessage(
update_type=ModelUpdateType.Load, model_settings=env_model_settings
diff --git a/tests/parallel/test_messages.py b/tests/parallel/test_messages.py
index 95bf545a6..fd6ae8798 100644
--- a/tests/parallel/test_messages.py
+++ b/tests/parallel/test_messages.py
@@ -10,7 +10,9 @@
from ..fixtures import SumModel
# Used to fill in all the default values
-_dummy_model_settings = ModelSettings(name="foo", implementation=SumModel).dict()
+_dummy_model_settings = ModelSettings(name="foo", implementation=SumModel).model_dump(
+ by_alias=True
+)
@pytest.mark.parametrize(
diff --git a/tests/parallel/test_registry.py b/tests/parallel/test_registry.py
index 2055cda11..f37330b30 100644
--- a/tests/parallel/test_registry.py
+++ b/tests/parallel/test_registry.py
@@ -2,7 +2,7 @@
import os
import asyncio
-from mlserver.env import Environment, compute_hash
+from mlserver.env import Environment, compute_hash_of_file
from mlserver.model import MLModel
from mlserver.settings import Settings, ModelSettings
from mlserver.types import InferenceRequest
@@ -30,6 +30,19 @@ async def env_model(
await inference_pool_registry.unload_model(model)
+@pytest.fixture
+async def existing_env_model(
+ inference_pool_registry: InferencePoolRegistry,
+ existing_env_model_settings: ModelSettings,
+) -> MLModel:
+ env_model = EnvModel(existing_env_model_settings)
+ model = await inference_pool_registry.load_model(env_model)
+
+ yield model
+
+ await inference_pool_registry.unload_model(model)
+
+
def test_set_environment_hash(sum_model: MLModel):
env_hash = "0e46fce1decb7a89a8b91c71d8b6975630a17224d4f00094e02e1a732f8e95f3"
_set_environment_hash(sum_model, env_hash)
@@ -90,6 +103,22 @@ async def test_load_model_with_env(
assert sklearn_version == "1.0.2"
+async def test_load_model_with_existing_env(
+ inference_pool_registry: InferencePoolRegistry,
+ existing_env_model: MLModel,
+ inference_request: InferenceRequest,
+):
+ response = await existing_env_model.predict(inference_request)
+
+ assert len(response.outputs) == 1
+
+ # Note: These versions come from the `environment.yml` found in
+ # `./tests/testdata/environment.yaml`
+ assert response.outputs[0].name == "sklearn_version"
+ [sklearn_version] = StringCodec.decode_output(response.outputs[0])
+ assert sklearn_version == "1.0.2"
+
+
async def test_load_creates_pool(
inference_pool_registry: InferencePoolRegistry,
env_model_settings: MLModel,
@@ -124,7 +153,7 @@ async def test_load_reuses_env_folder(
new_model = EnvModel(env_model_settings)
# Make sure there's already existing env
- env_hash = await compute_hash(env_tarball)
+ env_hash = await compute_hash_of_file(env_tarball)
env_path = inference_pool_registry._get_env_path(env_hash)
await Environment.from_tarball(env_tarball, env_path, env_hash)
diff --git a/tests/repository/test_load.py b/tests/repository/test_load.py
index 890b8a3e2..17f365199 100644
--- a/tests/repository/test_load.py
+++ b/tests/repository/test_load.py
@@ -24,7 +24,7 @@ def custom_module_settings_path(
# Add modified settings, pointing to local module
model_settings_path = os.path.join(tmp_path, DEFAULT_MODEL_SETTINGS_FILENAME)
with open(model_settings_path, "w") as f:
- settings_dict = sum_model_settings.dict()
+ settings_dict = sum_model_settings.model_dump()
# Point to local module
settings_dict["implementation"] = "fixtures.SumModel"
f.write(json.dumps(settings_dict))
@@ -48,16 +48,23 @@ async def test_load_model_settings(
async def test_name_fallback(
sum_model_settings: ModelSettings,
- model_folder: str,
+ model_folder: str, # This is effectively the Pytest-provided `tmp_path` fixture
):
- # Create empty model-settings.json file
+ # Overwrite `model-settings.json` file to be missing the `name` field
model_settings_path = os.path.join(model_folder, DEFAULT_MODEL_SETTINGS_FILENAME)
with open(model_settings_path, "w") as model_settings_file:
- d = sum_model_settings.dict()
+ d = sum_model_settings.model_dump(by_alias=True)
+
+ # Remove the `name` field from the JSON representation
del d["name"]
+
+ # Overwrite the model settings in the temporary path
json.dump(d, model_settings_file)
model_settings = load_model_settings(model_settings_path)
+
+ # Check that it picked up the model name from the
+ # `model-settings.json`'s containing folder.
assert model_settings.name == os.path.basename(model_folder)
diff --git a/tests/repository/test_repository.py b/tests/repository/test_repository.py
index 4ab853ba4..6e8e9586a 100644
--- a/tests/repository/test_repository.py
+++ b/tests/repository/test_repository.py
@@ -30,7 +30,7 @@ def multi_model_folder(model_folder: str, sum_model_settings: ModelSettings) ->
model_version_folder, DEFAULT_MODEL_SETTINGS_FILENAME
)
with open(model_settings_path, "w") as f:
- settings_json = sum_model_settings.json()
+ settings_json = sum_model_settings.model_dump_json(by_alias=True)
f.write(settings_json)
return model_folder
diff --git a/tests/rest/test_codecs.py b/tests/rest/test_codecs.py
index 0ffee6fd1..b0a3d6811 100644
--- a/tests/rest/test_codecs.py
+++ b/tests/rest/test_codecs.py
@@ -19,7 +19,9 @@
"datatype": "FP64",
"shape": [1, 1],
"data": [21.0],
- "parameters": {"content_type": NumpyCodec.ContentType},
+ "parameters": {
+ "content_type": NumpyCodec.ContentType,
+ },
},
),
(
@@ -30,7 +32,9 @@
"datatype": "BYTES",
"shape": [2, 1],
"data": ["\x01\x02"],
- "parameters": {"content_type": NumpyCodec.ContentType},
+ "parameters": {
+ "content_type": NumpyCodec.ContentType,
+ },
},
),
(
@@ -41,7 +45,9 @@
"datatype": "BYTES",
"shape": [3, 1],
"data": ["hey", "what's", "up"],
- "parameters": {"content_type": StringCodec.ContentType},
+ "parameters": {
+ "content_type": StringCodec.ContentType,
+ },
},
),
(
@@ -49,10 +55,12 @@
Base64Codec,
{
"name": "output-0",
- "datatype": "BYTES",
"shape": [1, 1],
+ "datatype": "BYTES",
"data": ["UHl0aG9uIGlzIGZ1bg=="],
- "parameters": {"content_type": Base64Codec.ContentType},
+ "parameters": {
+ "content_type": Base64Codec.ContentType,
+ },
},
),
],
@@ -61,7 +69,7 @@ def test_encode_output_tensor(decoded: Any, codec: InputCodec, expected: dict):
# Serialise response into final output bytes
payload = codec.encode_output(name="output-0", payload=decoded)
response = Response(content=None)
- rendered_as_bytes = response.render(payload.dict())
+ rendered_as_bytes = response.render(payload.model_dump())
# Decode response back into JSON and check if it matches the expected one
rendered = rendered_as_bytes.decode("utf8")
diff --git a/tests/rest/test_endpoints.py b/tests/rest/test_endpoints.py
index d185c7c98..f74e77cdc 100644
--- a/tests/rest/test_endpoints.py
+++ b/tests/rest/test_endpoints.py
@@ -1,12 +1,20 @@
import pytest
+from pytest_lazyfixture import lazy_fixture
from typing import Optional
+from httpx import AsyncClient
+from httpx_sse import aconnect_sse
from mlserver import __version__
+from mlserver.settings import ModelSettings
+from mlserver.model import MLModel
from mlserver.types import (
+ InferenceRequest,
InferenceResponse,
MetadataServerResponse,
MetadataModelResponse,
+ TensorData,
+ RepositoryIndexRequest,
)
from mlserver.cloudevents import (
CLOUDEVENTS_HEADER_SPECVERSION_DEFAULT,
@@ -14,39 +22,39 @@
)
-async def test_live(rest_client):
+async def test_live(rest_client: AsyncClient):
endpoint = "/v2/health/live"
response = await rest_client.get(endpoint)
assert response.status_code == 200
-async def test_ready(rest_client):
+async def test_ready(rest_client: AsyncClient):
endpoint = "/v2/health/ready"
response = await rest_client.get(endpoint)
assert response.status_code == 200
-async def test_model_ready(rest_client, sum_model):
+async def test_model_ready(rest_client: AsyncClient, sum_model: MLModel):
endpoint = f"/v2/models/{sum_model.name}/versions/{sum_model.version}/ready"
response = await rest_client.get(endpoint)
assert response.status_code == 200
-async def test_metadata(rest_client):
+async def test_metadata(rest_client: AsyncClient):
endpoint = "/v2"
response = await rest_client.get(endpoint)
- metadata = MetadataServerResponse.parse_obj(response.json())
+ metadata = MetadataServerResponse.model_validate(response.json())
assert metadata.name == "mlserver"
assert metadata.version == __version__
assert metadata.extensions == []
-async def test_openapi(rest_client):
+async def test_openapi(rest_client: AsyncClient):
endpoint = "/v2/docs"
response = await rest_client.get(endpoint)
@@ -54,7 +62,7 @@ async def test_openapi(rest_client):
assert "html" in response.headers["content-type"]
-async def test_docs(rest_client):
+async def test_docs(rest_client: AsyncClient):
endpoint = "/v2/docs/dataplane.json"
response = await rest_client.get(endpoint)
@@ -62,11 +70,13 @@ async def test_docs(rest_client):
assert "openapi" in response.json()
-async def test_model_metadata(rest_client, sum_model_settings):
+async def test_model_metadata(
+ rest_client: AsyncClient, sum_model_settings: ModelSettings
+):
endpoint = f"v2/models/{sum_model_settings.name}"
response = await rest_client.get(endpoint)
- metadata = MetadataModelResponse.parse_obj(response.json())
+ metadata = MetadataModelResponse.model_validate(response.json())
assert metadata.name == sum_model_settings.name
assert metadata.platform == sum_model_settings.platform
@@ -78,7 +88,7 @@ async def test_model_metadata(rest_client, sum_model_settings):
"model_name,model_version", [("sum-model", "v1.2.3"), ("sum-model", None)]
)
async def test_model_openapi(
- rest_client, model_name: str, model_version: Optional[str]
+ rest_client: AsyncClient, model_name: str, model_version: Optional[str]
):
endpoint = f"/v2/models/{model_name}/docs/dataplane.json"
if model_version is not None:
@@ -94,7 +104,9 @@ async def test_model_openapi(
@pytest.mark.parametrize(
"model_name,model_version", [("sum-model", "v1.2.3"), ("sum-model", None)]
)
-async def test_model_docs(rest_client, model_name: str, model_version: Optional[str]):
+async def test_model_docs(
+ rest_client: AsyncClient, model_name: str, model_version: Optional[str]
+):
endpoint = f"/v2/models/{model_name}/docs"
if model_version is not None:
endpoint = f"/v2/models/{model_name}/versions/{model_version}/docs"
@@ -108,31 +120,79 @@ async def test_model_docs(rest_client, model_name: str, model_version: Optional[
"model_name,model_version", [("sum-model", "v1.2.3"), ("sum-model", None)]
)
async def test_infer(
- rest_client,
- inference_request,
- model_name,
- model_version,
+ rest_client: AsyncClient,
+ inference_request: InferenceRequest,
+ model_name: str,
+ model_version: Optional[str],
):
endpoint = f"/v2/models/{model_name}/infer"
if model_version is not None:
endpoint = f"/v2/models/{model_name}/versions/{model_version}/infer"
- response = await rest_client.post(endpoint, json=inference_request.dict())
+ response = await rest_client.post(endpoint, json=inference_request.model_dump())
+ assert response.status_code == 200
+
+ prediction = InferenceResponse.model_validate(response.json())
+ assert len(prediction.outputs) == 1
+ assert prediction.outputs[0].data == TensorData(root=[6])
+
+
+@pytest.mark.parametrize("sum_model", [lazy_fixture("text_model")])
+@pytest.mark.parametrize(
+ "model_name,model_version", [("text-model", "v1.2.3"), ("text-model", None)]
+)
+async def test_generate(
+ rest_client: AsyncClient,
+ generate_request: InferenceRequest,
+ model_name: str,
+ model_version: Optional[str],
+):
+ endpoint = f"/v2/models/{model_name}/generate"
+ if model_version is not None:
+ endpoint = f"/v2/models/{model_name}/versions/{model_version}/generate"
+
+ response = await rest_client.post(endpoint, json=generate_request.model_dump())
assert response.status_code == 200
- prediction = InferenceResponse.parse_obj(response.json())
+ prediction = InferenceResponse.model_validate(response.json())
assert len(prediction.outputs) == 1
- assert prediction.outputs[0].data.__root__ == [6]
+ assert prediction.outputs[0].data == TensorData(
+ root=["What is the capital of France?"]
+ )
+
+
+@pytest.mark.parametrize("settings", [lazy_fixture("settings_stream")])
+@pytest.mark.parametrize("sum_model", [lazy_fixture("text_stream_model")])
+@pytest.mark.parametrize("endpoint", ["generate_stream", "infer_stream"])
+async def test_generate_stream(
+ rest_client: AsyncClient,
+ generate_request: InferenceRequest,
+ text_stream_model: MLModel,
+ endpoint: str,
+):
+ endpoint = f"/v2/models/{text_stream_model.name}/{endpoint}"
+ conn = aconnect_sse(
+ rest_client, "POST", endpoint, json=generate_request.model_dump()
+ )
+ ref_text = ["What", " is", " the", " capital", " of", " France?"]
+
+ async with conn as stream:
+ i = 0
+ async for response in stream.aiter_sse():
+ prediction = InferenceResponse.model_validate(response.json())
+ assert len(prediction.outputs) == 1
+ assert prediction.outputs[0].data == TensorData(root=[ref_text[i]])
+ i += 1
async def test_infer_headers(
- rest_client,
- inference_request,
- sum_model_settings,
+ rest_client: AsyncClient,
+ inference_request: InferenceRequest,
+ sum_model_settings: ModelSettings,
):
endpoint = f"/v2/models/{sum_model_settings.name}/infer"
response = await rest_client.post(
- endpoint, json=inference_request.dict(), headers={"x-foo": "bar"}
+ endpoint, json=inference_request.model_dump(), headers={"x-foo": "bar"}
)
assert response.status_code == 200
@@ -146,17 +206,24 @@ async def test_infer_headers(
)
-async def test_infer_error(rest_client, inference_request):
- endpoint = "/v2/models/my-model/versions/v0/infer"
- response = await rest_client.post(endpoint, json=inference_request.dict())
+@pytest.mark.parametrize("endpoint", ["infer", "generate"])
+async def test_infer_error(
+ rest_client: AsyncClient, inference_request: InferenceRequest, endpoint: str
+):
+ endpoint = f"/v2/models/my-model/versions/v0/{endpoint}"
+ response = await rest_client.post(endpoint, json=inference_request.model_dump())
assert response.status_code == 404
assert response.json()["error"] == "Model my-model with version v0 not found"
-async def test_model_repository_index(rest_client, repository_index_request):
+async def test_model_repository_index(
+ rest_client: AsyncClient, repository_index_request: RepositoryIndexRequest
+):
endpoint = "/v2/repository/index"
- response = await rest_client.post(endpoint, json=repository_index_request.dict())
+ response = await rest_client.post(
+ endpoint, json=repository_index_request.model_dump()
+ )
assert response.status_code == 200
@@ -164,7 +231,9 @@ async def test_model_repository_index(rest_client, repository_index_request):
assert len(models) == 1
-async def test_model_repository_unload(rest_client, sum_model_settings):
+async def test_model_repository_unload(
+ rest_client: AsyncClient, sum_model_settings: ModelSettings
+):
endpoint = f"/v2/repository/models/{sum_model_settings.name}/unload"
response = await rest_client.post(endpoint)
@@ -175,8 +244,8 @@ async def test_model_repository_unload(rest_client, sum_model_settings):
async def test_model_repository_load(
- rest_client,
- sum_model_settings,
+ rest_client: AsyncClient,
+ sum_model_settings: ModelSettings,
):
await rest_client.post(f"/v2/repository/models/{sum_model_settings.name}/unload")
@@ -189,7 +258,9 @@ async def test_model_repository_load(
assert model_metadata.status_code == 200
-async def test_model_repository_load_error(rest_client, sum_model_settings):
+async def test_model_repository_load_error(
+ rest_client: AsyncClient, sum_model_settings: ModelSettings
+):
endpoint = "/v2/repository/models/my-model/load"
response = await rest_client.post(endpoint)
diff --git a/tests/rest/test_responses.py b/tests/rest/test_responses.py
new file mode 100644
index 000000000..81c155e7d
--- /dev/null
+++ b/tests/rest/test_responses.py
@@ -0,0 +1,13 @@
+from mlserver.types import InferenceRequest
+
+from mlserver.rest.responses import ServerSentEvent
+
+
+def test_sse_encode(inference_request: InferenceRequest):
+ sse = ServerSentEvent(inference_request)
+ encoded = sse.encode()
+ as_string = encoded.decode("utf-8")
+
+ expected_json = inference_request.model_dump_json().replace(" ", "")
+ expected = f"data: {expected_json}\n\n"
+ assert as_string == expected
diff --git a/tests/test_env.py b/tests/test_env.py
index c357f01d2..bfb9021df 100644
--- a/tests/test_env.py
+++ b/tests/test_env.py
@@ -3,17 +3,19 @@
import os
import shutil
-from mlserver.env import Environment, compute_hash
+from typing import Tuple
+
+from mlserver.env import Environment, compute_hash_of_file
@pytest.fixture
-def expected_python_folder() -> str:
- v = sys.version_info
- return f"python{v.major}.{v.minor}"
+def expected_python_folder(env_python_version: Tuple[int, int]) -> str:
+ major, minor = env_python_version
+ return f"python{major}.{minor}"
async def test_compute_hash(env_tarball: str):
- env_hash = await compute_hash(env_tarball)
+ env_hash = await compute_hash_of_file(env_tarball)
assert len(env_hash) == 64
@@ -68,6 +70,10 @@ def test_bin_path(env: Environment):
assert env._bin_path == f"{env._env_path}/bin"
+def test_exec_path(env: Environment):
+ assert env._exec_path == f"{env._env_path}/bin/python"
+
+
def test_activate_env(env: Environment):
assert env._env_path not in ",".join(sys.path)
assert env._env_path not in os.environ["PATH"]
@@ -82,5 +88,8 @@ def test_activate_env(env: Environment):
bin_paths = os.environ["PATH"].split(os.pathsep)
assert bin_paths[0] == env._bin_path
+ exec_path = os.path.join(bin_paths[0], "python")
+ assert exec_path == env._exec_path
+
assert env._env_path not in ",".join(sys.path)
assert env._env_path not in os.environ["PATH"]
diff --git a/tests/test_model.py b/tests/test_model.py
index 1f2b669ad..8f9fd5665 100644
--- a/tests/test_model.py
+++ b/tests/test_model.py
@@ -1,4 +1,5 @@
import pytest
+import inspect
import numpy as np
import pandas as pd
@@ -10,6 +11,45 @@
from mlserver.codecs.pandas import PandasCodec
from mlserver.model import MLModel
+from .fixtures import TextModel, TextStreamModel
+
+
+async def stream_generator(generate_request):
+ yield generate_request
+
+
+async def test_predict_stream_fallback(
+ text_model: TextModel,
+ generate_request: InferenceRequest,
+):
+ generator = text_model.predict_stream(stream_generator(generate_request))
+ assert inspect.isasyncgen(generator)
+
+ responses = []
+ async for response in generator:
+ responses.append(response)
+
+ assert len(responses) == 1
+ assert len(responses[0].outputs) > 0
+
+
+async def test_predict_stream(
+ text_stream_model: TextStreamModel,
+ generate_request: InferenceRequest,
+):
+ generator = text_stream_model.predict_stream(stream_generator(generate_request))
+ assert inspect.isasyncgen(generator)
+
+ responses = []
+ async for response in generator:
+ responses.append(response)
+
+ ref_text = ["What", " is", " the", " capital", " of", " France?"]
+ assert len(responses) == len(ref_text)
+
+ for idx in range(len(ref_text)):
+ assert ref_text[idx] == StringCodec.decode_output(responses[idx].outputs[0])[0]
+
@pytest.mark.parametrize(
"request_input,expected",
@@ -58,7 +98,7 @@
datatype="FP32",
parameters=Parameters(),
),
- TensorData(__root__=[1, 2]),
+ TensorData(root=[1, 2]),
),
(
RequestInput(
@@ -67,7 +107,7 @@
data=[1, 2],
datatype="FP32",
),
- TensorData(__root__=[1, 2]),
+ TensorData(root=[1, 2]),
),
],
)
@@ -176,7 +216,6 @@ def test_decode(sum_model: MLModel, request_input: RequestInput, expected: Any):
datatype="BYTES",
parameters=Parameters(
content_type="str",
- _decoded_payload=["abc"],
),
)
],
diff --git a/tests/test_raw.py b/tests/test_raw.py
index 5f47d7327..25919e3bb 100644
--- a/tests/test_raw.py
+++ b/tests/test_raw.py
@@ -129,7 +129,10 @@ def test_pack_tensor(tensor: np.ndarray):
b"\x03\x00\x00\x00one\x03\x00\x00\x00two\x05\x00\x00\x00three",
np.array([1, 2, 3, 4, 5, 6], dtype=np.single).tobytes(),
],
- [[b"one", b"two", b"three"], [1, 2, 3, 4, 5, 6]],
+ [
+ TensorData([b"one", b"two", b"three"]),
+ TensorData([1, 2, 3, 4, 5, 6]),
+ ],
),
# With mixed entries (i.e. raw and normal)
(
@@ -145,9 +148,9 @@ def test_pack_tensor(tensor: np.ndarray):
np.array([7, 8, 9, 10], dtype=np.single).tobytes(),
],
[
- [b"one", b"two", b"three"],
- TensorData.parse_obj([1, 2, 3, 4, 5, 6]),
- [7, 8, 9, 10],
+ TensorData([b"one", b"two", b"three"]),
+ TensorData([1, 2, 3, 4, 5, 6]),
+ TensorData([7, 8, 9, 10]),
],
),
],
diff --git a/tests/test_settings.py b/tests/test_settings.py
index 3d97eaffb..9d7763db5 100644
--- a/tests/test_settings.py
+++ b/tests/test_settings.py
@@ -67,9 +67,9 @@ def test_model_settings_from_env(monkeypatch):
),
],
)
-def test_model_settings_parse_obj(obj: dict):
+def test_model_settings_model_validate(obj: dict):
pre_sys_path = sys.path[:]
- model_settings = ModelSettings.parse_obj(obj)
+ model_settings = ModelSettings.model_validate(obj)
post_sys_path = sys.path[:]
assert pre_sys_path == post_sys_path
@@ -86,9 +86,18 @@ def test_model_settings_serialisation():
assert model_settings.implementation == SumModel
assert model_settings.implementation_ == expected
- as_dict = model_settings.dict()
+ # Dump `by_alias` to ensure that our alias overrides [1] are used
+ # [2][3].
+ #
+ # > Whether to serialize using field aliases. [2][3]
+ #
+ # [1] https://github.com/jesse-c/MLServer/blob/4ac2da1d0dd7aa4b3796c047013b841fffa60e58/mlserver/settings.py#L373-L376 # noqa: E501
+ # [2] https://docs.pydantic.dev/latest/api/base_model/#pydantic.BaseModel.model_dump # noqa: E501
+ # [3] https://docs.pydantic.dev/latest/api/base_model/#pydantic.BaseModel.model_dump_json # noqa: E501
+
+ as_dict = model_settings.model_dump(by_alias=True)
as_dict["implementation"] == expected
- as_json = model_settings.json()
+ as_json = model_settings.model_dump_json(by_alias=True)
as_dict = json.loads(as_json)
as_dict["implementation"] == expected
diff --git a/tests/test_types.py b/tests/test_types.py
index 651ea588c..7dd18d910 100644
--- a/tests/test_types.py
+++ b/tests/test_types.py
@@ -21,7 +21,7 @@ def test_tensor_data(data):
raw = json.dumps(data)
tensor_data = types.TensorData.parse_raw(raw)
- assert tensor_data.__root__ == data
+ assert tensor_data == types.TensorData(root=data)
for tensor_elem, elem in zip(tensor_data, data):
assert isinstance(tensor_elem, type(elem))
@@ -30,6 +30,6 @@ async def test_request_invalid_datatype(
inference_request_invalid_datatype, datatype_error_message
):
with pytest.raises(ValidationError) as excinfo:
- InferenceRequest.parse_obj(inference_request_invalid_datatype)
+ InferenceRequest.model_validate(inference_request_invalid_datatype)
assert excinfo.value.errors()[0]["msg"] == datatype_error_message
diff --git a/tests/testdata/.test.env b/tests/testdata/.test.env
index 1f3edc97d..c38cec35e 100644
--- a/tests/testdata/.test.env
+++ b/tests/testdata/.test.env
@@ -1,7 +1,10 @@
-MLSERVER_ALLOW_ORIGIN_REGEX=".*"
+# Settings
MLSERVER_DEBUG=1
MLSERVER_HTTP_PORT=9999
+# CORS Settings
+MLSERVER_ALLOW_ORIGIN_REGEX=".*"
MLSERVER_MAX_AGE=999
+# Model Settings
MLSERVER_MODEL_NAME="dummy-name"
MLSERVER_MODEL_URI="dummy-uri"
MLSERVER_MODEL_IMPLEMENTATION="mlserver.MLModel"
diff --git a/tests/testdata/environment.yml b/tests/testdata/environment.yml
index 78a8ca7a2..50d096eb0 100644
--- a/tests/testdata/environment.yml
+++ b/tests/testdata/environment.yml
@@ -2,7 +2,7 @@ name: custom-runtime-environment
channels:
- conda-forge
dependencies:
- - python == 3.8
+ - python == 3.9
- scikit-learn == 1.0.2
- pip:
- - mlserver == 1.3.0.dev2
+ - mlserver @ git+${GITHUB_SERVER_URL}/${GITHUB_REPOSITORY}.git@${GITHUB_REF}
diff --git a/tests/testdata/generate-request.json b/tests/testdata/generate-request.json
new file mode 100644
index 000000000..bebe5ef77
--- /dev/null
+++ b/tests/testdata/generate-request.json
@@ -0,0 +1,18 @@
+{
+ "inputs": [
+ {
+ "name": "prompt",
+ "shape": [1],
+ "datatype": "BYTES",
+ "data": ["What is the capital of France?"],
+ "parameters": {
+ "content_type": "str"
+ }
+ }
+ ],
+ "outputs": [
+ {
+ "name": "output"
+ }
+ ]
+}
diff --git a/tests/testdata/grpc/model-generate-request.json b/tests/testdata/grpc/model-generate-request.json
new file mode 100644
index 000000000..6661fd26c
--- /dev/null
+++ b/tests/testdata/grpc/model-generate-request.json
@@ -0,0 +1,19 @@
+{
+ "model_name": "text-model",
+ "model_version": "v1.2.3",
+ "inputs": [
+ {
+ "name": "prompt",
+ "datatype": "BYTES",
+ "shape": [1, 1],
+ "contents": {
+ "bytes_contents": ["V2hhdCBpcyB0aGUgY2FwaXRhbCBvZiBGcmFuY2U/"]
+ }
+ }
+ ],
+ "outputs":[
+ {
+ "name": "output"
+ }
+ ]
+}
diff --git a/tests/testdata/settings-stream.json b/tests/testdata/settings-stream.json
new file mode 100644
index 000000000..809cb452b
--- /dev/null
+++ b/tests/testdata/settings-stream.json
@@ -0,0 +1,9 @@
+{
+ "debug": true,
+ "host": "127.0.0.1",
+ "parallel_workers": 0,
+ "gzip_enabled": false,
+ "cors_settings": {
+ "allow_origins": ["*"]
+ }
+}
diff --git a/tests/utils.py b/tests/utils.py
index 5a7f60972..9a270ad64 100644
--- a/tests/utils.py
+++ b/tests/utils.py
@@ -3,13 +3,12 @@
import socket
import yaml
-import sys
import os
from itertools import filterfalse
-
+from string import Template
from asyncio import subprocess
-from typing import List
+from typing import List, Tuple
from aiohttp.client_exceptions import (
ClientConnectorError,
@@ -51,7 +50,14 @@ async def _run(cmd):
raise Exception(f"Command '{cmd}' failed with code '{return_code}'")
-def _read_env(env_yml) -> dict:
+def _render_env_yml(src_env_yml: str, dst_env_yml: str):
+ with open(src_env_yml, "r") as src_env_file:
+ env = Template(src_env_file.read()).substitute(os.environ)
+ with open(dst_env_yml, "w") as dst_env_file:
+ dst_env_file.write(env)
+
+
+def _read_env(env_yml: str) -> dict:
with open(env_yml, "r") as env_file:
return yaml.safe_load(env_file.read())
@@ -65,29 +71,30 @@ def _is_python(dep: str) -> bool:
return "python" in dep
-def _inject_python_version(env_yml: str, tarball_path: str) -> str:
+def _inject_python_version(
+ version: Tuple[int, int],
+ env_yml: str,
+ tarball_path: str,
+) -> str:
"""
- To ensure the same environment.yml fixture we've got works across
- environments, we inject dynamically the current Python version.
- That way, we ensure tests using the tarball to load a dynamic custom
- environment are using the same Python version used to run the tests.
+ To test the same environment.yml fixture we've got with different Python
+ versions across environments, we inject dynamically the requested version.
"""
env = _read_env(env_yml)
-
- v = sys.version_info
+ major, minor = version
without_python = list(filterfalse(_is_python, env["dependencies"]))
- with_env_python = [f"python == {v.major}.{v.minor}", *without_python]
+ with_env_python = [f"python == {major}.{minor}", *without_python]
env["dependencies"] = with_env_python
dst_folder = os.path.dirname(tarball_path)
- new_env_yml = os.path.join(dst_folder, f"environment-py{v.major}{v.minor}.yml")
+ new_env_yml = os.path.join(dst_folder, f"environment-py{major}{minor}.yml")
_write_env(env, new_env_yml)
return new_env_yml
-async def _pack(env_yml: str, tarball_path: str):
+async def _pack(version: Tuple[int, int], env_yml: str, tarball_path: str):
uuid = generate_uuid()
- fixed_env_yml = _inject_python_version(env_yml, tarball_path)
+ fixed_env_yml = _inject_python_version(version, env_yml, tarball_path)
env_name = f"mlserver-{uuid}"
try:
await _run(f"conda env create -n {env_name} -f {fixed_env_yml}")
@@ -104,9 +111,9 @@ async def _pack(env_yml: str, tarball_path: str):
await _run(f"conda env remove -n {env_name}")
-def _get_tarball_name() -> str:
- v = sys.version_info
- return f"environment-py{v.major}{v.minor}.tar.gz"
+def _get_tarball_name(version: Tuple[int, int]) -> str:
+ major, minor = version
+ return f"environment-py{major}{minor}.tar.gz"
class RESTClient:
@@ -167,7 +174,9 @@ async def infer(
self, model_name: str, inference_request: InferenceRequest
) -> InferenceResponse:
endpoint = f"http://{self._http_server}/v2/models/{model_name}/infer"
- response = await self._session.post(endpoint, json=inference_request.dict())
+ response = await self._session.post(
+ endpoint, json=inference_request.model_dump()
+ )
raw_payload = await response.text()
return InferenceResponse.parse_raw(raw_payload)
diff --git a/tox.ini b/tox.ini
index 1b96891ab..34a6eea5c 100644
--- a/tox.ini
+++ b/tox.ini
@@ -20,7 +20,25 @@ commands_pre =
poetry install --sync --no-root
commands =
python -m pytest {posargs} -n auto \
- {toxinidir}/tests
+ {toxinidir}/tests \
+ --ignore={toxinidir}/tests/kafka \
+ --ignore={toxinidir}/tests/parallel \
+ --ignore={toxinidir}/tests/grpc
+ # kafka and parallel tests are failing for macos when running in parallel
+ # with the entire test suite. grpc tests are are also flaky when running
+ # in parallel. So, we run them separately.
+ python -m pytest {posargs} \
+ {toxinidir}/tests/kafka \
+ {toxinidir}/tests/parallel \
+ {toxinidir}/tests/grpc
+ # We run the grpc interceptor test separately because other tests will
+ # interfere with the metrics counter when running in parallel.
+ python -m pytest {posargs} \
+ {toxinidir}/tests/grpc/test_interceptor.py
+set_env =
+ GITHUB_SERVER_URL = {env:GITHUB_SERVER_URL:https\://github.com}
+ GITHUB_REPOSITORY = {env:GITHUB_REPOSITORY:SeldonIO/MLServer}
+ GITHUB_REF = {env:GITHUB_REF:refs/heads/master}
[testenv:all-runtimes]
commands_pre =
@@ -37,7 +55,18 @@ commands =
{toxinidir}/runtimes/mllib \
{toxinidir}/runtimes/lightgbm \
{toxinidir}/runtimes/mlflow \
- {toxinidir}/runtimes/huggingface
+ {toxinidir}/runtimes/huggingface \
+ --ignore={toxinidir}/tests/kafka \
+ --ignore={toxinidir}/tests/parallel
+ # kafka and parallel tests are failinig for macos when running in parallel
+ # with the entire test suite. So, we run them separately.
+ python -m pytest {posargs} \
+ {toxinidir}/tests/kafka \
+ {toxinidir}/tests/parallel
+set_env =
+ GITHUB_SERVER_URL = {env:GITHUB_SERVER_URL:https\://github.com}
+ GITHUB_REPOSITORY = {env:GITHUB_REPOSITORY:SeldonIO/MLServer}
+ GITHUB_REF = {env:GITHUB_REF:refs/heads/master}
[testenv:licenses]
commands_pre =
diff --git a/tox.runtime.ini b/tox.runtime.ini
new file mode 100644
index 000000000..bc9e828df
--- /dev/null
+++ b/tox.runtime.ini
@@ -0,0 +1,11 @@
+[tox]
+isolated_build = true
+
+[testenv]
+allowlist_externals = poetry
+commands_pre =
+ poetry install --sync --no-root
+ poetry install -C {toxinidir}/../../
+commands =
+ python -m pytest {posargs} -n auto \
+ {toxinidir}/tests