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repo_configuration.py
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import dataclasses
import importlib
import os
import tempfile
import uuid
from dataclasses import dataclass
from datetime import datetime, timedelta
from pathlib import Path
from typing import Any, Dict, List, Optional, Tuple, Type, Union
import pandas as pd
import pytest
from feast import (
FeatureStore,
FeatureView,
OnDemandFeatureView,
StreamFeatureView,
driver_test_data,
)
from feast.constants import FULL_REPO_CONFIGS_MODULE_ENV_NAME
from feast.data_source import DataSource
from feast.errors import FeastModuleImportError
from feast.feature_service import FeatureService
from feast.infra.feature_servers.base_config import (
BaseFeatureServerConfig,
FeatureLoggingConfig,
)
from feast.infra.feature_servers.local_process.config import LocalFeatureServerConfig
from feast.permissions.action import AuthzedAction
from feast.permissions.auth_model import OidcAuthConfig
from feast.permissions.permission import Permission
from feast.permissions.policy import RoleBasedPolicy
from feast.repo_config import RegistryConfig, RepoConfig
from feast.utils import _utc_now
from tests.integration.feature_repos.integration_test_repo_config import (
IntegrationTestRepoConfig,
RegistryLocation,
)
from tests.integration.feature_repos.universal.data_source_creator import (
DataSourceCreator,
)
from tests.integration.feature_repos.universal.data_sources.bigquery import (
BigQueryDataSourceCreator,
)
from tests.integration.feature_repos.universal.data_sources.file import (
DuckDBDataSourceCreator,
DuckDBDeltaDataSourceCreator,
FileDataSourceCreator,
RemoteOfflineOidcAuthStoreDataSourceCreator,
RemoteOfflineStoreDataSourceCreator,
)
from tests.integration.feature_repos.universal.data_sources.redshift import (
RedshiftDataSourceCreator,
)
from tests.integration.feature_repos.universal.data_sources.snowflake import (
SnowflakeDataSourceCreator,
)
from tests.integration.feature_repos.universal.feature_views import (
conv_rate_plus_100_feature_view,
create_conv_rate_request_source,
create_customer_daily_profile_feature_view,
create_driver_hourly_stats_batch_feature_view,
create_driver_hourly_stats_feature_view,
create_field_mapping_feature_view,
create_global_stats_feature_view,
create_location_stats_feature_view,
create_order_feature_view,
create_pushable_feature_view,
)
from tests.integration.feature_repos.universal.online_store.bigtable import (
BigtableOnlineStoreCreator,
)
from tests.integration.feature_repos.universal.online_store.datastore import (
DatastoreOnlineStoreCreator,
)
from tests.integration.feature_repos.universal.online_store.dynamodb import (
DynamoDBOnlineStoreCreator,
)
from tests.integration.feature_repos.universal.online_store.redis import (
RedisOnlineStoreCreator,
)
from tests.integration.feature_repos.universal.online_store_creator import (
OnlineStoreCreator,
)
DYNAMO_CONFIG = {"type": "dynamodb", "region": "us-west-2"}
REDIS_CONFIG = {"type": "redis", "connection_string": "localhost:6379,db=0"}
REDIS_CLUSTER_CONFIG = {
"type": "redis",
"redis_type": "redis_cluster",
# Redis Cluster Port Forwarding is setup in "pr_integration_tests.yaml" under "Setup Redis Cluster".
"connection_string": "127.0.0.1:6001,127.0.0.1:6002,127.0.0.1:6003",
}
SNOWFLAKE_CONFIG = {
"type": "snowflake.online",
"account": os.getenv("SNOWFLAKE_CI_DEPLOYMENT", ""),
"user": os.getenv("SNOWFLAKE_CI_USER", ""),
"password": os.getenv("SNOWFLAKE_CI_PASSWORD", ""),
"role": os.getenv("SNOWFLAKE_CI_ROLE", ""),
"warehouse": os.getenv("SNOWFLAKE_CI_WAREHOUSE", ""),
"database": os.getenv("SNOWFLAKE_CI_DATABASE", "FEAST"),
"schema": os.getenv("SNOWFLAKE_CI_SCHEMA_ONLINE", "ONLINE"),
}
BIGTABLE_CONFIG = {
"type": "bigtable",
"project_id": os.getenv("GCLOUD_PROJECT", "kf-feast"),
"instance": os.getenv("BIGTABLE_INSTANCE_ID", "feast-integration-tests"),
}
ROCKSET_CONFIG = {
"type": "rockset",
"api_key": os.getenv("ROCKSET_APIKEY", ""),
"host": os.getenv("ROCKSET_APISERVER", "api.rs2.usw2.rockset.com"),
}
IKV_CONFIG = {
"type": "ikv",
"account_id": os.getenv("IKV_ACCOUNT_ID", ""),
"account_passkey": os.getenv("IKV_ACCOUNT_PASSKEY", ""),
"store_name": os.getenv("IKV_STORE_NAME", ""),
"mount_directory": os.getenv("IKV_MOUNT_DIR", ""),
}
OFFLINE_STORE_TO_PROVIDER_CONFIG: Dict[str, Tuple[str, Type[DataSourceCreator]]] = {
"file": ("local", FileDataSourceCreator),
"bigquery": ("gcp", BigQueryDataSourceCreator),
"redshift": ("aws", RedshiftDataSourceCreator),
"snowflake": ("aws", SnowflakeDataSourceCreator),
}
AVAILABLE_OFFLINE_STORES: List[Tuple[str, Type[DataSourceCreator]]] = [
("local", FileDataSourceCreator),
("local", DuckDBDataSourceCreator),
("local", DuckDBDeltaDataSourceCreator),
("local", RemoteOfflineStoreDataSourceCreator),
("local", RemoteOfflineOidcAuthStoreDataSourceCreator),
]
if os.getenv("FEAST_IS_LOCAL_TEST", "False") == "True":
AVAILABLE_OFFLINE_STORES.extend(
[
# todo: @tokoko to reenable
# ("local", DuckDBDeltaS3DataSourceCreator),
]
)
AVAILABLE_ONLINE_STORES: Dict[
str, Tuple[Union[str, Dict[Any, Any]], Optional[Type[OnlineStoreCreator]]]
] = {"sqlite": ({"type": "sqlite"}, None)}
# Only configure Cloud DWH if running full integration tests
if os.getenv("FEAST_IS_LOCAL_TEST", "False") != "True":
AVAILABLE_OFFLINE_STORES.extend(
[
("gcp", BigQueryDataSourceCreator),
("aws", RedshiftDataSourceCreator),
("aws", SnowflakeDataSourceCreator),
]
)
AVAILABLE_ONLINE_STORES["redis"] = (REDIS_CONFIG, None)
AVAILABLE_ONLINE_STORES["dynamodb"] = (DYNAMO_CONFIG, None)
AVAILABLE_ONLINE_STORES["datastore"] = ("datastore", None)
AVAILABLE_ONLINE_STORES["snowflake"] = (SNOWFLAKE_CONFIG, None)
AVAILABLE_ONLINE_STORES["bigtable"] = (BIGTABLE_CONFIG, None)
# Uncomment to test using private Rockset account. Currently not enabled as
# there is no dedicated Rockset instance for CI testing and there is no
# containerized version of Rockset.
# AVAILABLE_ONLINE_STORES["rockset"] = (ROCKSET_CONFIG, None)
# Uncomment to test using private IKV account. Currently not enabled as
# there is no dedicated IKV instance for CI testing and there is no
# containerized version of IKV.
# AVAILABLE_ONLINE_STORES["ikv"] = (IKV_CONFIG, None)
full_repo_configs_module = os.environ.get(FULL_REPO_CONFIGS_MODULE_ENV_NAME)
if full_repo_configs_module is not None:
try:
module = importlib.import_module(full_repo_configs_module)
except ImportError as e:
raise FeastModuleImportError(
full_repo_configs_module, "FULL_REPO_CONFIGS"
) from e
try:
AVAILABLE_ONLINE_STORES = getattr(module, "AVAILABLE_ONLINE_STORES")
AVAILABLE_OFFLINE_STORES = getattr(module, "AVAILABLE_OFFLINE_STORES")
except AttributeError:
try:
FULL_REPO_CONFIGS: List[IntegrationTestRepoConfig] = getattr(
module, "FULL_REPO_CONFIGS"
)
except AttributeError as e:
raise FeastModuleImportError(
full_repo_configs_module, "FULL_REPO_CONFIGS"
) from e
AVAILABLE_OFFLINE_STORES = [
(config.provider, config.offline_store_creator)
for config in FULL_REPO_CONFIGS
]
AVAILABLE_OFFLINE_STORES = list(set(AVAILABLE_OFFLINE_STORES)) # unique only
AVAILABLE_ONLINE_STORES = {
c.online_store["type"]
if isinstance(c.online_store, dict)
else c.online_store: (c.online_store, c.online_store_creator) # type: ignore
for c in FULL_REPO_CONFIGS
}
# Replace online stores with emulated online stores if we're running local integration tests
if os.getenv("FEAST_LOCAL_ONLINE_CONTAINER", "False").lower() == "true":
replacements: Dict[
str, Tuple[Union[str, Dict[str, str]], Optional[Type[OnlineStoreCreator]]]
] = {
"redis": (REDIS_CONFIG, RedisOnlineStoreCreator),
"dynamodb": (DYNAMO_CONFIG, DynamoDBOnlineStoreCreator),
"datastore": ("datastore", DatastoreOnlineStoreCreator),
"bigtable": ("bigtable", BigtableOnlineStoreCreator),
}
for key, replacement in replacements.items():
if key in AVAILABLE_ONLINE_STORES:
AVAILABLE_ONLINE_STORES[key] = replacement
@dataclass
class UniversalEntities:
customer_vals: List[Any]
driver_vals: List[Any]
location_vals: List[Any]
def construct_universal_entities() -> UniversalEntities:
return UniversalEntities(
customer_vals=list(range(1001, 1020)),
driver_vals=list(range(5001, 5020)),
location_vals=list(range(1, 50)),
)
@dataclass
class UniversalDatasets:
customer_df: pd.DataFrame
driver_df: pd.DataFrame
location_df: pd.DataFrame
orders_df: pd.DataFrame
global_df: pd.DataFrame
field_mapping_df: pd.DataFrame
entity_df: pd.DataFrame
def construct_universal_datasets(
entities: UniversalEntities, start_time: datetime, end_time: datetime
) -> UniversalDatasets:
customer_df = driver_test_data.create_customer_daily_profile_df(
entities.customer_vals, start_time, end_time
)
driver_df = driver_test_data.create_driver_hourly_stats_df(
entities.driver_vals, start_time, end_time
)
location_df = driver_test_data.create_location_stats_df(
entities.location_vals, start_time, end_time
)
orders_df = driver_test_data.create_orders_df(
customers=entities.customer_vals,
drivers=entities.driver_vals,
locations=entities.location_vals,
start_date=start_time,
end_date=end_time,
order_count=20,
)
global_df = driver_test_data.create_global_daily_stats_df(start_time, end_time)
field_mapping_df = driver_test_data.create_field_mapping_df(start_time, end_time)
entity_df = orders_df[
[
"customer_id",
"driver_id",
"order_id",
"origin_id",
"destination_id",
"event_timestamp",
]
]
return UniversalDatasets(
customer_df=customer_df,
driver_df=driver_df,
location_df=location_df,
orders_df=orders_df,
global_df=global_df,
field_mapping_df=field_mapping_df,
entity_df=entity_df,
)
@dataclass
class UniversalDataSources:
customer: DataSource
driver: DataSource
location: DataSource
orders: DataSource
global_ds: DataSource
field_mapping: DataSource
def values(self):
return dataclasses.asdict(self).values()
def construct_universal_data_sources(
datasets: UniversalDatasets, data_source_creator: DataSourceCreator
) -> UniversalDataSources:
customer_ds = data_source_creator.create_data_source(
datasets.customer_df,
destination_name="customer_profile",
timestamp_field="event_timestamp",
created_timestamp_column="created",
)
driver_ds = data_source_creator.create_data_source(
datasets.driver_df,
destination_name="driver_hourly",
timestamp_field="event_timestamp",
created_timestamp_column="created",
)
location_ds = data_source_creator.create_data_source(
datasets.location_df,
destination_name="location_hourly",
timestamp_field="event_timestamp",
created_timestamp_column="created",
)
orders_ds = data_source_creator.create_data_source(
datasets.orders_df,
destination_name="orders",
timestamp_field="event_timestamp",
created_timestamp_column=None,
)
global_ds = data_source_creator.create_data_source(
datasets.global_df,
destination_name="global",
timestamp_field="event_timestamp",
created_timestamp_column="created",
)
field_mapping_ds = data_source_creator.create_data_source(
datasets.field_mapping_df,
destination_name="field_mapping",
timestamp_field="event_timestamp",
created_timestamp_column="created",
field_mapping={"column_name": "feature_name"},
)
return UniversalDataSources(
customer=customer_ds,
driver=driver_ds,
location=location_ds,
orders=orders_ds,
global_ds=global_ds,
field_mapping=field_mapping_ds,
)
@dataclass
class UniversalFeatureViews:
customer: FeatureView
global_fv: FeatureView
driver: FeatureView
driver_odfv: Optional[OnDemandFeatureView]
order: FeatureView
location: FeatureView
field_mapping: FeatureView
pushed_locations: FeatureView
def values(self):
return dataclasses.asdict(self).values()
def construct_universal_feature_views(
data_sources: UniversalDataSources,
with_odfv: bool = True,
use_substrait_odfv: bool = False,
) -> UniversalFeatureViews:
driver_hourly_stats = create_driver_hourly_stats_feature_view(data_sources.driver)
driver_hourly_stats_base_feature_view = (
create_driver_hourly_stats_batch_feature_view(data_sources.driver)
)
return UniversalFeatureViews(
customer=create_customer_daily_profile_feature_view(data_sources.customer),
global_fv=create_global_stats_feature_view(data_sources.global_ds),
driver=driver_hourly_stats,
driver_odfv=conv_rate_plus_100_feature_view(
[
driver_hourly_stats_base_feature_view[["conv_rate"]],
create_conv_rate_request_source(),
],
use_substrait_odfv=use_substrait_odfv,
)
if with_odfv
else None,
order=create_order_feature_view(data_sources.orders),
location=create_location_stats_feature_view(data_sources.location),
field_mapping=create_field_mapping_feature_view(data_sources.field_mapping),
pushed_locations=create_pushable_feature_view(data_sources.location),
)
@dataclass
class Environment:
name: str
project: str
provider: str
registry: RegistryConfig
data_source_creator: DataSourceCreator
online_store_creator: Optional[OnlineStoreCreator]
online_store: Optional[Union[str, Dict]]
batch_engine: Optional[Union[str, Dict]]
python_feature_server: bool
worker_id: str
feature_server: BaseFeatureServerConfig
entity_key_serialization_version: int
repo_dir_name: str
fixture_request: Optional[pytest.FixtureRequest] = None
def __post_init__(self):
self.end_date = _utc_now().replace(microsecond=0, second=0, minute=0)
self.start_date: datetime = self.end_date - timedelta(days=3)
def setup(self):
self.data_source_creator.setup(self.registry)
self.config = RepoConfig(
registry=self.registry,
project=self.project,
provider=self.provider,
offline_store=self.data_source_creator.create_offline_store_config(),
online_store=self.online_store_creator.create_online_store()
if self.online_store_creator
else self.online_store,
batch_engine=self.batch_engine,
repo_path=self.repo_dir_name,
feature_server=self.feature_server,
entity_key_serialization_version=self.entity_key_serialization_version,
)
self.feature_store = FeatureStore(config=self.config)
def teardown(self):
self.feature_store.teardown()
self.data_source_creator.teardown()
if self.online_store_creator:
self.online_store_creator.teardown()
@dataclass
class OfflineServerPermissionsEnvironment(Environment):
def setup(self):
self.data_source_creator.setup(self.registry)
keycloak_url = self.data_source_creator.get_keycloak_url()
auth_config = OidcAuthConfig(
client_id="feast-integration-client",
client_secret="feast-integration-client-secret",
username="reader_writer",
password="password",
realm="master",
type="oidc",
auth_discovery_url=f"{keycloak_url}/realms/master/.well-known"
f"/openid-configuration",
)
self.config = RepoConfig(
registry=self.registry,
project=self.project,
provider=self.provider,
offline_store=self.data_source_creator.create_offline_store_config(),
online_store=self.online_store_creator.create_online_store()
if self.online_store_creator
else self.online_store,
batch_engine=self.batch_engine,
repo_path=self.repo_dir_name,
feature_server=self.feature_server,
entity_key_serialization_version=self.entity_key_serialization_version,
auth=auth_config,
)
self.feature_store = FeatureStore(config=self.config)
permissions_list = [
Permission(
name="offline_fv_perm",
types=FeatureView,
policy=RoleBasedPolicy(roles=["writer"]),
actions=[AuthzedAction.READ_OFFLINE, AuthzedAction.WRITE_OFFLINE],
),
Permission(
name="offline_odfv_perm",
types=OnDemandFeatureView,
policy=RoleBasedPolicy(roles=["writer"]),
actions=[AuthzedAction.READ_OFFLINE, AuthzedAction.WRITE_OFFLINE],
),
Permission(
name="offline_sfv_perm",
types=StreamFeatureView,
policy=RoleBasedPolicy(roles=["writer"]),
actions=[AuthzedAction.READ_OFFLINE, AuthzedAction.WRITE_OFFLINE],
),
Permission(
name="offline_fs_perm",
types=FeatureService,
policy=RoleBasedPolicy(roles=["writer"]),
actions=[AuthzedAction.READ_OFFLINE, AuthzedAction.WRITE_OFFLINE],
),
Permission(
name="offline_datasource_perm",
types=DataSource,
policy=RoleBasedPolicy(roles=["writer"]),
actions=[AuthzedAction.READ_OFFLINE, AuthzedAction.WRITE_OFFLINE],
),
]
self.feature_store.apply(permissions_list)
def table_name_from_data_source(ds: DataSource) -> Optional[str]:
if hasattr(ds, "table_ref"):
return ds.table_ref # type: ignore
elif hasattr(ds, "table"):
return ds.table # type: ignore
return None
def construct_test_environment(
test_repo_config: IntegrationTestRepoConfig,
fixture_request: Optional[pytest.FixtureRequest],
test_suite_name: str = "integration_test",
worker_id: str = "worker_id",
entity_key_serialization_version: int = 2,
) -> Environment:
_uuid = str(uuid.uuid4()).replace("-", "")[:6]
run_id = os.getenv("GITHUB_RUN_ID", default=None)
run_id = f"gh_run_{run_id}_{_uuid}" if run_id else _uuid
run_num = os.getenv("GITHUB_RUN_NUMBER", default=1)
project = f"{test_suite_name}_{run_id}_{run_num}"
offline_creator: DataSourceCreator = test_repo_config.offline_store_creator(
project, fixture_request=fixture_request
)
if test_repo_config.online_store_creator:
online_creator = test_repo_config.online_store_creator(
project, fixture_request=fixture_request
)
else:
online_creator = None
feature_server = LocalFeatureServerConfig(
feature_logging=FeatureLoggingConfig(enabled=True)
)
repo_dir_name = tempfile.mkdtemp()
if test_repo_config.registry_location == RegistryLocation.S3:
aws_registry_path = os.getenv(
"AWS_REGISTRY_PATH", "s3://feast-int-bucket/registries"
)
registry = RegistryConfig(path=f"{aws_registry_path}/{project}/registry.db")
else:
registry = RegistryConfig(
path=str(Path(repo_dir_name) / "registry.db"),
cache_ttl_seconds=1,
)
environment_params = {
"name": project,
"provider": test_repo_config.provider,
"data_source_creator": offline_creator,
"python_feature_server": test_repo_config.python_feature_server,
"worker_id": worker_id,
"online_store_creator": online_creator,
"fixture_request": fixture_request,
"project": project,
"registry": registry,
"feature_server": feature_server,
"entity_key_serialization_version": entity_key_serialization_version,
"repo_dir_name": repo_dir_name,
"batch_engine": test_repo_config.batch_engine,
"online_store": test_repo_config.online_store,
}
if not isinstance(offline_creator, RemoteOfflineOidcAuthStoreDataSourceCreator):
environment = Environment(**environment_params)
else:
environment = OfflineServerPermissionsEnvironment(**environment_params)
return environment
TestData = Tuple[UniversalEntities, UniversalDatasets, UniversalDataSources]
def construct_universal_test_data(environment: Environment) -> TestData:
entities = construct_universal_entities()
datasets = construct_universal_datasets(
entities, environment.start_date, environment.end_date
)
data_sources = construct_universal_data_sources(
datasets, environment.data_source_creator
)
return entities, datasets, data_sources