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python-versions = "^3.9" -content-hash = "a0fe19495a69c417be115edc20781aeee24cdcdb267b02357497af4bdc213946" +content-hash = "92e5b5dd0c565c50fe14e9026f575d2638cfd8cb739cca24d5ff4e1da2deca2f" diff --git a/libs/jump_portrait/pyproject.toml b/libs/jump_portrait/pyproject.toml index 97ab6e5..4e529e5 100644 --- a/libs/jump_portrait/pyproject.toml +++ b/libs/jump_portrait/pyproject.toml @@ -1,6 +1,6 @@ [tool.poetry] name = "jump-portrait" -version = "0.0.14" +version = "0.0.15" description = "Tools to fetch and visualize JUMP images" authors = ["Alan Munoz"] readme = "README.md" @@ -9,7 +9,7 @@ packages = [{include = "jump_portrait", from= "src"}] [tool.poetry.dependencies] python = "^3.9" boto3 = ">=1.33.1" -broad-babel = "^0.1.13" +broad-babel = "^0.1.14" joblib = "^1.3.2" matplotlib = "^3.8.2" polars = "^0.19.19" diff --git a/libs/jump_portrait/src/jump_portrait/fetch.py b/libs/jump_portrait/src/jump_portrait/fetch.py index fa75f61..7d6f1fb 100644 --- a/libs/jump_portrait/src/jump_portrait/fetch.py +++ b/libs/jump_portrait/src/jump_portrait/fetch.py @@ -63,6 +63,8 @@ def get_jump_image( site: str = 1, correction: str = "Orig", apply_correction: bool = True, + compressed: bool = False, + staging: bool = False, ) -> np.ndarray: """Main function to fetch a JUMP image for AWS. Metadata for most files can be obtained from a set of data frames, @@ -109,7 +111,16 @@ def get_jump_image( first_row = unique_site.row(0, named=True) - result = get_corrected_image(first_row, channel, correction, apply_correction) + # Compressed images are already corrected + if compressed: + correction = None + + result = get_corrected_image(first_row, + channel, + correction, + apply_correction, + compressed, + staging) return result diff --git a/libs/jump_portrait/src/jump_portrait/s3.py b/libs/jump_portrait/src/jump_portrait/s3.py index 08791fc..8eb4943 100644 --- a/libs/jump_portrait/src/jump_portrait/s3.py +++ b/libs/jump_portrait/src/jump_portrait/s3.py @@ -1,6 +1,8 @@ #!/usr/bin/env jupyter import io +import os +import re from io import BytesIO import boto3 @@ -10,6 +12,7 @@ import pyarrow as pa from botocore import UNSIGNED from botocore.config import Config +from matplotlib import pyplot as plt from pyarrow.dataset import dataset from s3fs import S3FileSystem from s3path import PureS3Path, S3Path @@ -22,29 +25,53 @@ """ -def s3client(): - return boto3.client("s3", config=Config(signature_version=UNSIGNED)) +def s3client(use_credentials: bool = False): + if use_credentials: + if not all(key in os.environ for key in [ + "AWS_ACCESS_KEY_ID", + "AWS_SECRET_ACCESS_KEY", + "AWS_SESSION_TOKEN"]): + raise Exception("AWS credentials not found." + "Please set them in the environment, or use" + "data that does not require credentials.") + + return boto3.client( + "s3", region_name='us-east-1', + aws_access_key_id=os.environ['AWS_ACCESS_KEY_ID'], + aws_secret_access_key=os.environ['AWS_SECRET_ACCESS_KEY'], + aws_session_token=os.environ['AWS_SESSION_TOKEN']) + else: + return boto3.client("s3", config=Config(signature_version=UNSIGNED)) -def get_image_from_s3uri(s3_image_uri) -> np.ndarray: - # Assumes we are accessing cellpainting-gallery +def get_image_from_s3uri(s3_image_uri, + bucket_name='cellpainting-gallery', + staging: bool = False) -> np.ndarray: s3_image_uri = str(s3_image_uri) # if instance is S3Path # Remove all possible prefixes - bucket_name = "cellpainting-gallery" s3_image_uri = s3_image_uri.removeprefix(f"s3://{bucket_name}/") s3_image_uri = s3_image_uri.removeprefix(f"/{bucket_name}/") s3_image_uri = s3_image_uri.removeprefix(f"{bucket_name}/") - response = s3client().get_object(Bucket="cellpainting-gallery", Key=s3_image_uri) - response_body = BytesIO(response["Body"].read()) + try: + response = s3client( + use_credentials=staging + ).get_object(Bucket=bucket_name, Key=s3_image_uri) + response_body = BytesIO(response["Body"].read()) + except Exception as e: + print(f"Failed to fetch s3://{bucket_name}/{s3_image_uri}. Is the file" + f"path correct and accessible?") + raise e + if s3_image_uri.endswith(".tif") or s3_image_uri.endswith(".tiff"): result = mpimg.imread(response_body, format="tiff") - elif s3_image_uri.endswith(".npy"): result = np.load(response_body) + elif s3_image_uri.endswith(".png"): + result = plt.imread(response_body) else: raise Exception(f"Format not supported for {s3_image_uri}") @@ -56,6 +83,8 @@ def get_corrected_image( channel: str, correction: str or None, apply_correction: bool = True, + compressed: bool = False, + staging: bool = False, ) -> np.ndarray: """Correct the image from a given location when appropriate by dividing it by another image in the same location dictionary. @@ -76,9 +105,14 @@ def get_corrected_image( """ s3_image_path = build_s3_image_path( - row=images_location, channel=channel, correction=correction + row=images_location, + channel=channel, + correction=correction, + compressed=compressed, + staging=staging ) - result = get_image_from_s3uri(s3_image_path) + + result = get_image_from_s3uri(s3_image_path, s3_image_path.bucket, staging=staging) if apply_correction and not correction in ("Orig", None): original_image_path = build_s3_image_path( @@ -106,16 +140,29 @@ def keys(Bucket, Prefix="", StartAfter="", Delimiter="/"): def build_s3_image_path( - row: dict[str, str], channel: str, correction: None or str = None + row: dict[str, str], channel: str, + correction: None or str = None, + compressed: bool = False, + staging: bool = False, ) -> PureS3Path: """ """ if correction is None: correction = "Orig" index_suffix = correction + channel - final_path = ( - S3Path.from_uri(row["_".join(("PathName", index_suffix))]) - / row["_".join(("FileName", index_suffix))] - ) + + directory = row["_".join(("PathName", index_suffix))] + filename = row["_".join(("FileName", index_suffix))] + + if staging: + directory = directory.replace("cellpainting-gallery", "staging-cellpainting-gallery") + if compressed: + pattern = r'(images/[^/]+/images)/' + replacement = r'\1_compressed/' + directory = re.sub(pattern, replacement, directory) + filename = os.path.splitext(filename)[0] + ".png" + + final_path = S3Path.from_uri(directory) / filename + return final_path diff --git a/libs/jump_portrait/test/integration_tests.py b/libs/jump_portrait/test/integration_tests.py index 2e945e8..5a3b0cd 100644 --- a/libs/jump_portrait/test/integration_tests.py +++ b/libs/jump_portrait/test/integration_tests.py @@ -12,12 +12,17 @@ @pytest.mark.parametrize("site", [1]) @pytest.mark.parametrize("correction", ["Orig", "Illum"]) @pytest.mark.parametrize("apply_correction", [True, False]) +@pytest.mark.parametrize( + ("compressed", "staging"), + [(True, True), (False, False)] +) def test_get_jump_image( - source, batch, plate, well, channel, site, correction, apply_correction + source, batch, plate, well, channel, site, correction, apply_correction, compressed, staging ): # Check that finding image locations from gene or compoundsa works image = get_jump_image( - source, batch, plate, well, channel, site, correction, apply_correction + source, batch, plate, well, channel, site, correction, + apply_correction, compressed, staging ) assert len(image.shape) == 2 # Two-dimensional image assert len(image) > 10 # It is large-ish