generated from john/python-template
V4.5 Complete - Enhanced trancription context, added option to restranscribe source under different models.
This commit is contained in:
Jim Lancaster
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"""Tests for V4.5 metadata-directed orientation normalization."""
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import hashlib
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import io
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from pathlib import Path
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import pytest
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from PIL import Image
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from transcription.config import Settings
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from transcription.db.models import Document
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from transcription.db.models import Job
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from transcription.db.models import JobSource
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from transcription.db.models import Source
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from transcription.providers import RequestManifest
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from transcription.providers import TranscriptionResult
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from transcription.providers.evidence import build_software_context
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from transcription.services import ServiceBundle
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from transcription.services.documents import DocumentService
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from transcription.services.jobs import JobService
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from transcription.services.normalization import normalize_orientation
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from transcription.services.sources import SourceService
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from transcription.services.workflows import process_queued_job
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def _write_oriented_jpeg(path: Path, *, orientation: int) -> bytes:
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image = Image.new("RGB", (2, 3))
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image.putdata(
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[
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(255, 0, 0),
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(255, 0, 0),
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(0, 255, 0),
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(0, 255, 0),
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(0, 0, 255),
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(0, 0, 255),
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]
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)
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exif = Image.Exif()
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exif[274] = orientation
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image.save(path, format="JPEG", quality=100, subsampling=0, exif=exif)
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return path.read_bytes()
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def _write_oriented_image(path: Path, *, orientation: int, image_format: str) -> None:
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image = Image.new("RGB", (2, 3), color="white")
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exif = Image.Exif()
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exif[274] = orientation
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image.save(path, format=image_format, exif=exif)
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@pytest.mark.unit
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def test_orientation_three_is_physically_rotated_and_metadata_removed(tmp_path):
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path = tmp_path / "upside-down.jpg"
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original = _write_oriented_jpeg(path, orientation=3)
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result = normalize_orientation(path, media_type="image/jpeg")
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assert result is not None
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assert result.applied_rotation_degrees == 180
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assert path.read_bytes() == original
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with Image.open(path) as source_image, Image.open(io.BytesIO(result.content)) as derivative:
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assert source_image.getexif()[274] == 3
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assert derivative.getexif().get(274, 1) == 1
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assert derivative.getpixel((0, 0))[2] > derivative.getpixel((0, 0))[0]
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@pytest.mark.unit
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def test_orientation_one_is_noop(tmp_path):
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path = tmp_path / "upright.jpg"
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_write_oriented_jpeg(path, orientation=1)
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assert normalize_orientation(path, media_type="image/jpeg") is None
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@pytest.mark.parametrize(
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("filename", "image_format", "media_type"),
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[
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("oriented.png", "PNG", "image/png"),
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("oriented.tiff", "TIFF", "image/tiff"),
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],
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)
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def test_supported_non_jpeg_orientation_is_normalized(
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tmp_path,
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filename,
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image_format,
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media_type,
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):
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path = tmp_path / filename
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_write_oriented_image(path, orientation=6, image_format=image_format)
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result = normalize_orientation(path, media_type=media_type)
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assert result is not None
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assert result.applied_rotation_degrees == 90
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assert (result.derivative_width, result.derivative_height) == (3, 2)
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with Image.open(io.BytesIO(result.content)) as derivative:
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assert derivative.getexif().get(274, 1) == 1
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@pytest.mark.integration
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@pytest.mark.asyncio
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async def test_resolve_provider_input_persists_exact_derivative(default_session_factory, tmp_path):
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source_path = tmp_path / "source.jpg"
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original = _write_oriented_jpeg(source_path, orientation=3)
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settings = Settings(
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openrouter_api_key="test-key",
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artifact_dir=tmp_path / "artifacts",
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provider_models=None,
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)
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documents = DocumentService(session_factory=default_session_factory, settings=settings)
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sources = SourceService(session_factory=default_session_factory, settings=settings)
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document = await documents.create_document(Document(name="Oriented"))
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source = await sources.create_source(
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Source(
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document_id=document.id,
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page_number=1,
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upload_name="source.jpg",
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filename="source.jpg",
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file_path=str(source_path),
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file_hash=hashlib.sha256(original).hexdigest(),
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file_size_bytes=len(original),
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)
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)
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provider_input = await sources.resolve_provider_input(source)
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artifacts = await sources.list_processing_artifacts(source_id=source.id)
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assert source_path.read_bytes() == original
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assert provider_input.derivative_id == artifacts[0].id
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assert provider_input.path.read_bytes() != original
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assert hashlib.sha256(provider_input.path.read_bytes()).hexdigest() == provider_input.digest_sha256
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assert artifacts[0].coordinate_metadata["original_orientation"] == 3
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@pytest.mark.integration
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@pytest.mark.asyncio
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async def test_worker_sends_exact_derivative_and_links_attempt_evidence(
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default_session_factory,
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tmp_path,
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monkeypatch,
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):
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source_path = tmp_path / "source.jpg"
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original = _write_oriented_jpeg(source_path, orientation=3)
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prompt_dir = tmp_path / "prompts"
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prompt_dir.mkdir()
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(prompt_dir / "transcribe_document.md").write_text("Transcribe verbatim.", encoding="utf-8")
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settings = Settings(
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openrouter_api_key="test-key",
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artifact_dir=tmp_path / "artifacts",
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prompt_dir=prompt_dir,
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provider_models=None,
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)
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services = ServiceBundle(
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documents=DocumentService(session_factory=default_session_factory, settings=settings),
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jobs=JobService(session_factory=default_session_factory, settings=settings),
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sources=SourceService(session_factory=default_session_factory, settings=settings),
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)
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document = await services.documents.create_document(Document(name="Pipeline"))
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source = await services.sources.create_source(
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Source(
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document_id=document.id,
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page_number=1,
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upload_name="source.jpg",
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filename="source.jpg",
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file_path=str(source_path),
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file_hash=hashlib.sha256(original).hexdigest(),
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file_size_bytes=len(original),
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)
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)
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job = await services.jobs.create_job(Job(document_id=document.id))
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await services.sources.create_job_source(JobSource(job_id=job.id, source_id=source.id))
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loaded = await services.jobs.read_job(job.id)
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captured: dict[str, object] = {}
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async def fake_transcribe(
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image_path,
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*,
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prompt_name,
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prompt_text,
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temperature,
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top_p,
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settings,
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provider,
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source_reference,
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requested_model,
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):
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_ = (prompt_name, temperature, top_p, settings, provider, requested_model)
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image_bytes = Path(image_path).read_bytes()
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captured["bytes"] = image_bytes
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captured["source_reference"] = source_reference
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manifest = RequestManifest(
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provider="fixture",
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requested_model="fixture/model",
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request={"model": "fixture/model"},
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source=source_reference,
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optional_parameter_states={"temperature": "omitted", "top_p": "omitted"},
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prompt_content=prompt_text,
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prompt_sha256=hashlib.sha256(prompt_text.encode()).hexdigest(),
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timeout_seconds=20,
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retry_policy="none",
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software=build_software_context(
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adapter_name="fixture",
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adapter_version="1",
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client_library="transcription",
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),
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)
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return TranscriptionResult(
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text="[document body typewritten]\nDamaged \ufffd text",
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provider="fixture",
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model="fixture/model",
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request_manifest=manifest,
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)
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monkeypatch.setattr("transcription.services.workflows.transcribe_document_image", fake_transcribe)
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await process_queued_job(job=loaded, services=services, settings=settings)
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attempts = await services.sources.list_execution_attempts(source_id=source.id)
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artifacts = await services.sources.list_processing_artifacts(source_id=source.id)
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source_reference = captured["source_reference"]
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assert source_path.read_bytes() == original
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assert hashlib.sha256(captured["bytes"]).hexdigest() == source_reference.digest_sha256
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assert source_reference.derivative_id is not None
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assert {artifact.artifact_type for artifact in artifacts} == {
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"orientation_normalized_model_input",
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"transcription_quality_warnings",
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}
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assert {artifact.execution_attempt_id for artifact in artifacts} == {attempts[0].id}
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