mirror of
https://github.com/khoj-ai/khoj.git
synced 2024-11-27 17:35:07 +01:00
bf1ae038cb
- Pillow already supports reading XMP metadata from Images
- Removes need to maintain my fork of unmaintained PyExiftool
- This also removes dependency on system Exiftool package for
XMP metadata extraction
- Add test to verify XMP metadata extracted from test images
- Remove references to Exiftool from Documentation
82 lines
3.1 KiB
Python
82 lines
3.1 KiB
Python
# Standard Modules
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from pathlib import Path
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from PIL import Image
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# External Packages
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import pytest
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# Internal Packages
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from src.utils.state import model
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from src.utils.constants import web_directory
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from src.search_type import image_search
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from src.utils.helpers import resolve_absolute_path
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from src.utils.rawconfig import ContentConfig, SearchConfig
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# Test
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# ----------------------------------------------------------------------------------------------------
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def test_image_search_setup(content_config: ContentConfig, search_config: SearchConfig):
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# Act
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# Regenerate image search embeddings during image setup
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image_search_model = image_search.setup(content_config.image, search_config.image, regenerate=True)
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# Assert
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assert len(image_search_model.image_names) == 3
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assert len(image_search_model.image_embeddings) == 3
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def test_image_metadata(content_config: ContentConfig):
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"Verify XMP Description and Subjects Extracted from Image"
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# Arrange
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expected_metadata_image_name_pairs = [
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(["Billi Ka Bacha.", "Cat", "Grass"], "kitten_park.jpg"),
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(["Pasture.", "Horse", "Dog"], "horse_dog.jpg"),
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(["Guinea Pig Eating Celery.", "Rodent", "Whiskers"], "guineapig_grass.jpg")]
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test_image_paths = [
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Path(content_config.image.input_directories[0] / image_name[1])
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for image_name in expected_metadata_image_name_pairs
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]
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for expected_metadata, test_image_path in zip(expected_metadata_image_name_pairs, test_image_paths):
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# Act
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actual_metadata = image_search.extract_metadata(test_image_path)
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# Assert
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for expected_snippet in expected_metadata[0]:
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assert expected_snippet in actual_metadata
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# ----------------------------------------------------------------------------------------------------
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def test_image_search(content_config: ContentConfig, search_config: SearchConfig):
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# Arrange
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output_directory = resolve_absolute_path(web_directory)
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model.image_search = image_search.setup(content_config.image, search_config.image, regenerate=False)
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query_expected_image_pairs = [("kitten", "kitten_park.jpg"),
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("horse and dog in a farm", "horse_dog.jpg"),
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("A guinea pig eating grass", "guineapig_grass.jpg")]
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# Act
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for query, expected_image_name in query_expected_image_pairs:
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hits = image_search.query(
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query,
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count = 1,
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model = model.image_search)
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results = image_search.collate_results(
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hits,
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model.image_search.image_names,
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output_directory=output_directory,
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image_files_url='/static/images',
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count=1)
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actual_image_path = output_directory.joinpath(Path(results[0]["entry"]).name)
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actual_image = Image.open(actual_image_path)
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expected_image = Image.open(content_config.image.input_directories[0].joinpath(expected_image_name))
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# Assert
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assert expected_image == actual_image
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# Cleanup
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# Delete the image files copied to results directory
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actual_image_path.unlink()
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