Add batch photo processing with mode-specific LLM sessions and metadata writes
Tests / test_and_lint (push) Successful in 52s
Tests / test_and_lint (push) Successful in 52s
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@@ -1,5 +1,6 @@
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import shutil
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from pathlib import Path
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from unittest.mock import patch
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import pytest
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@@ -211,3 +212,32 @@ def test_set_keywords(make_dng_file, pic, expected_keywords):
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def test_set_keywords_on_existing():
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# TODO
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...
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def test_write_caption_and_keywords_in_one_metadata_update(tmp_path):
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writer = MetadataWriter(tmp_path / "photo.jpg")
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with (
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patch.object(writer, "get_caption", return_value="Original caption"),
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patch.object(writer, "get_keywords", return_value=["existing"]),
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patch.object(writer, "set_metadata") as set_metadata,
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):
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writer.write(caption="Generated caption", keywords=["architektur"])
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set_metadata.assert_called_once()
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metadata_tags = set_metadata.call_args.args[0]
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assert metadata_tags["XMP:Description"] == (
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f"Original caption. {PREFIX}Generated caption"
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)
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assert set(metadata_tags["XMP:Subject"]) == {
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"existing",
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f"{PREFIX}architektur",
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}
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def test_set_metadata_surfaces_write_failures(tmp_path):
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writer = MetadataWriter(tmp_path / "photo.jpg")
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with patch("photools3.metadata_writer.exiftool.ExifToolHelper") as exif:
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exif_instance = exif.return_value.__enter__.return_value
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exif_instance.execute.side_effect = OSError("ExifTool failed")
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with pytest.raises(RuntimeError, match="Could not write metadata"):
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writer.set_metadata({"XMP:Description": "caption"})
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@@ -48,6 +48,15 @@ def test_load_photo():
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assert isinstance(photo.image, Image.Image)
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def test_photo_context_manager_closes_image(tmp_path):
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path = _make_image_file(tmp_path, "RGB")
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with Photo(path) as photo:
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image = photo.image
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assert image.fp is not None
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assert image.fp is None
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def test_resize_method_exists():
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"""Test that resize method exists and returns a Photo instance"""
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photo = Photo(PATHS_DNG_EXAMPLES[0])
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@@ -0,0 +1,129 @@
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from pathlib import Path
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from unittest.mock import MagicMock, patch
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import pytest
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from PIL import Image
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from photools3.models import (
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LlmResponseCaption,
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LlmResponseCaptionsAndKeywords,
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LlmResponseKeywords,
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)
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from photools3.processing import (
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ProcessingMode,
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_create_session,
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process_batch,
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process_photo,
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)
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@pytest.fixture
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def image_path(tmp_path):
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path = tmp_path / "photo.png"
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Image.new("RGB", (20, 20)).save(path)
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return path
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@pytest.mark.parametrize(
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("mode", "response", "expected_metadata"),
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[
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(
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ProcessingMode.KEYWORDS,
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LlmResponseKeywords(tags=["architektur"]),
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{"caption": None, "keywords": ["architektur"]},
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),
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(
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ProcessingMode.CAPTIONS,
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LlmResponseCaption(caption="Ein Haus"),
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{"caption": "Ein Haus", "keywords": None},
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),
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(
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ProcessingMode.BOTH,
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LlmResponseCaptionsAndKeywords(caption="Ein Haus", tags=["architektur"]),
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{"caption": "Ein Haus", "keywords": ["architektur"]},
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),
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],
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)
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def test_process_photo_writes_only_requested_metadata(
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image_path, mode, response, expected_metadata
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):
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session = MagicMock()
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session.call.return_value = response
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with (
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patch("photools3.processing._create_session", return_value=session),
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patch("photools3.processing.MetadataWriter") as writer_class,
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):
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result = process_photo(image_path, mode)
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assert result == response
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session.call.assert_called_once()
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session.close.assert_called_once()
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writer_class.assert_called_once_with(image_path)
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writer_class.return_value.write.assert_called_once_with(**expected_metadata)
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def test_process_photo_does_not_close_a_caller_owned_session(image_path):
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session = MagicMock()
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session.call.return_value = LlmResponseCaption(caption="Ein Haus")
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with patch("photools3.processing.MetadataWriter"):
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process_photo(image_path, ProcessingMode.CAPTIONS, session=session)
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session.close.assert_not_called()
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@pytest.mark.parametrize(
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("mode", "constructor"),
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[
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(ProcessingMode.KEYWORDS, "LlmSessionKeywords"),
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(ProcessingMode.CAPTIONS, "LlmSessionCaption"),
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(ProcessingMode.BOTH, "LlmSessionCaptionsAndKeywords"),
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],
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)
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def test_create_session_selects_mode_specific_response_model(mode, constructor):
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with patch(f"photools3.processing.{constructor}") as session_class:
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assert _create_session(mode) is session_class.return_value
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session_class.assert_called_once_with()
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def test_process_batch_is_sequential_reuses_session_and_continues_after_error():
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active_photos = 0
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max_active_photos = 0
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class TrackingPhoto:
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def __init__(self, path):
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self.path = path
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def __enter__(self):
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nonlocal active_photos, max_active_photos
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active_photos += 1
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max_active_photos = max(max_active_photos, active_photos)
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return self
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def __exit__(self, exc_type, exc_value, traceback):
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nonlocal active_photos
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active_photos -= 1
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session = MagicMock()
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response = LlmResponseCaptionsAndKeywords(caption="Ein Haus", tags=["architektur"])
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session.call.side_effect = [response, RuntimeError("temporary error"), response]
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paths = [Path("one.jpg"), Path("two.jpg"), Path("three.jpg")]
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with (
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patch("photools3.processing._create_session", return_value=session),
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patch("photools3.processing.Photo", TrackingPhoto),
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patch("photools3.processing.MetadataWriter") as writer_class,
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):
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outcomes = process_batch(paths, ProcessingMode.BOTH)
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assert [outcome.succeeded for outcome in outcomes] == [True, False, True]
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assert [outcome.path for outcome in outcomes] == paths
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assert outcomes[1].error == "RuntimeError: temporary error"
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assert max_active_photos == 1
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assert active_photos == 0
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assert session.call.call_count == 3
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assert all(len(call.args[0]) == 1 for call in session.call.call_args_list)
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assert writer_class.return_value.write.call_count == 2
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session.close.assert_called_once()
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