Add batch photo processing with mode-specific LLM sessions and metadata writes
Tests / test_and_lint (push) Successful in 52s

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2026-10-18 09:04:36 +02:00
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from pathlib import Path
from unittest.mock import MagicMock, patch
import pytest
from PIL import Image
from photools3.models import (
LlmResponseCaption,
LlmResponseCaptionsAndKeywords,
LlmResponseKeywords,
)
from photools3.processing import (
ProcessingMode,
_create_session,
process_batch,
process_photo,
)
@pytest.fixture
def image_path(tmp_path):
path = tmp_path / "photo.png"
Image.new("RGB", (20, 20)).save(path)
return path
@pytest.mark.parametrize(
("mode", "response", "expected_metadata"),
[
(
ProcessingMode.KEYWORDS,
LlmResponseKeywords(tags=["architektur"]),
{"caption": None, "keywords": ["architektur"]},
),
(
ProcessingMode.CAPTIONS,
LlmResponseCaption(caption="Ein Haus"),
{"caption": "Ein Haus", "keywords": None},
),
(
ProcessingMode.BOTH,
LlmResponseCaptionsAndKeywords(caption="Ein Haus", tags=["architektur"]),
{"caption": "Ein Haus", "keywords": ["architektur"]},
),
],
)
def test_process_photo_writes_only_requested_metadata(
image_path, mode, response, expected_metadata
):
session = MagicMock()
session.call.return_value = response
with (
patch("photools3.processing._create_session", return_value=session),
patch("photools3.processing.MetadataWriter") as writer_class,
):
result = process_photo(image_path, mode)
assert result == response
session.call.assert_called_once()
session.close.assert_called_once()
writer_class.assert_called_once_with(image_path)
writer_class.return_value.write.assert_called_once_with(**expected_metadata)
def test_process_photo_does_not_close_a_caller_owned_session(image_path):
session = MagicMock()
session.call.return_value = LlmResponseCaption(caption="Ein Haus")
with patch("photools3.processing.MetadataWriter"):
process_photo(image_path, ProcessingMode.CAPTIONS, session=session)
session.close.assert_not_called()
@pytest.mark.parametrize(
("mode", "constructor"),
[
(ProcessingMode.KEYWORDS, "LlmSessionKeywords"),
(ProcessingMode.CAPTIONS, "LlmSessionCaption"),
(ProcessingMode.BOTH, "LlmSessionCaptionsAndKeywords"),
],
)
def test_create_session_selects_mode_specific_response_model(mode, constructor):
with patch(f"photools3.processing.{constructor}") as session_class:
assert _create_session(mode) is session_class.return_value
session_class.assert_called_once_with()
def test_process_batch_is_sequential_reuses_session_and_continues_after_error():
active_photos = 0
max_active_photos = 0
class TrackingPhoto:
def __init__(self, path):
self.path = path
def __enter__(self):
nonlocal active_photos, max_active_photos
active_photos += 1
max_active_photos = max(max_active_photos, active_photos)
return self
def __exit__(self, exc_type, exc_value, traceback):
nonlocal active_photos
active_photos -= 1
session = MagicMock()
response = LlmResponseCaptionsAndKeywords(caption="Ein Haus", tags=["architektur"])
session.call.side_effect = [response, RuntimeError("temporary error"), response]
paths = [Path("one.jpg"), Path("two.jpg"), Path("three.jpg")]
with (
patch("photools3.processing._create_session", return_value=session),
patch("photools3.processing.Photo", TrackingPhoto),
patch("photools3.processing.MetadataWriter") as writer_class,
):
outcomes = process_batch(paths, ProcessingMode.BOTH)
assert [outcome.succeeded for outcome in outcomes] == [True, False, True]
assert [outcome.path for outcome in outcomes] == paths
assert outcomes[1].error == "RuntimeError: temporary error"
assert max_active_photos == 1
assert active_photos == 0
assert session.call.call_count == 3
assert all(len(call.args[0]) == 1 for call in session.call.call_args_list)
assert writer_class.return_value.write.call_count == 2
session.close.assert_called_once()