generated from john/python-template
V4.7 Phase 1: ingest orientation normalization, ProcessingArtifact removal
Move orientation normalization to the Source-ingest boundary and delete the ProcessingArtifact subsystem it was built to serve. Stored pages are now already upright, so nothing downstream derives a rotated copy: every stored byte is the byte a provider is later sent. Rotation runs in store_source_file ahead of hashing, so source.file_hash and file_size_bytes describe exactly what is on disk. normalize_orientation becomes bytes-in / bytes-out, and JPEG output reuses the source quantization tables and chroma subsampling instead of re-quantizing at a fixed quality - measured at 50.3-56.1 dB PSNR at -6% size, against 50.0-53.5 dB at +38% for quality=95. ProcessingArtifact held 2 rows against 77 successful transcriptions; the subsystem effectively never ran. Deleting it removes the artifact cluster from sources.py, the derivative resolution in workflows.py, the pre-provider commit that only existed to make an artifact row durable, and the artifact evidence dump from the Source detail page. The transcription_quality_warnings payload folds into execution_attempt.normalized_metadata, so that feature keeps working without the table. tools/migrate_v46_to_v47.py carries steps 1 and 2: it rotated the 58 stored images carrying EXIF orientation 3 in place, updated their recorded hash and size, dropped processing_artifact and removed its one external file. It is idempotent, keyed on state rather than a version marker. tools/migrate_v45_to_v46.py is deleted. That migration is complete, and after V4.7 it would restore a V4.5 backup into a schema that no longer matches. Also fixes tests/test_config.py, which read the developer's local .env and failed whenever WORKER_MAX_RETRIES was set. Co-authored-by: Copilot App <[email protected]>
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"""One-time migration of a V4.6 database into the V4.7 schema.
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V4.7 is an architectural cleanup: no new user-facing behaviour, but three
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structural changes plus a one-time image backfill. This tool carries all of
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them, and is built up phase by phase so the live database stays usable at
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every phase boundary.
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Steps, in execution order:
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1. Rotate every stored Source image that still carries a supported EXIF
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orientation, in place, and update ``source.file_hash`` and
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``source.file_size_bytes`` to describe the rewritten file.
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2. Drop the ``processing_artifact`` table and delete its external files.
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Design notes:
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- The image rewrite reuses the application's own
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:func:`~transcription.services.normalization.normalize_orientation`, so the
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backfilled bytes are byte-identical to what ingest would now produce. It
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reuses the source quantization tables and subsampling rather than
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re-quantizing, which is both smaller and higher fidelity than a fixed
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quality setting.
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- The hash and size are rewritten alongside the file. After V4.7 the evidence
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digest is derived straight from ``source.file_hash``, so leaving it
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describing the pre-rotation bytes would silently invalidate every future
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export.
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- The database is read and written through SQLAlchemy Core against the live
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metadata, so the same script works against PostgreSQL when that cutover
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happens. Raw DDL is used only for the table drop, which has no Core
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equivalent that is safe to express against deleted metadata.
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- The script is idempotent, keyed on state rather than on a version marker:
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an image with no supported orientation tag is skipped, and a table that is
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already absent is skipped. It is never invoked from application startup and
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never runs in the test suite.
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- **The application must not be running.** The image rewrite is not atomic
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with the row update, and SQLite will refuse the schema change while another
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connection holds the database.
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Usage::
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python tools/migrate_v46_to_v47.py --dry-run
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python tools/migrate_v46_to_v47.py
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"""
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from __future__ import annotations
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import argparse
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import hashlib
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import sys
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from collections.abc import Sequence
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from pathlib import Path
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from sqlalchemy import create_engine
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from sqlalchemy import inspect as sqlalchemy_inspect
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from sqlalchemy import select
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from sqlalchemy import text
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from sqlalchemy import update
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from sqlalchemy.engine import Connection
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from sqlmodel import SQLModel
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from transcription.config import Settings
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from transcription.config import get_settings
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from transcription.db import models as _models # noqa: F401 (registers every table)
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from transcription.db.engine import get_database_url
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from transcription.services.normalization import normalize_orientation
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from transcription.services.sources import source_mime_type
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#: Row counts the V4.6 database is expected to carry, used as a pre-flight
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#: guard so the script cannot silently run against the wrong file.
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EXPECTED_ROW_COUNTS = {
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"document": 8,
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"document_person": 11,
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"document_type": 7,
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"execution_attempt": 80,
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"job": 11,
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"job_source": 79,
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"person": 5,
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"person_role": 3,
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"source": 76,
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}
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ARTIFACT_TABLE = "processing_artifact"
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#: The V4.6 default for the deleted ``Settings.artifact_dir``. The setting no
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#: longer exists, so the historical location is recorded here instead.
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DEFAULT_ARTIFACT_DIR = Path("data/artifacts")
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def _sync_url(settings: Settings) -> str:
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"""Return the target database URL with any async driver stripped."""
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url = get_database_url(settings)
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return url.replace("+aiosqlite", "").replace("+asyncpg", "").replace("+psycopg", "")
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def _preflight(connection: Connection, *, strict: bool) -> None:
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inspector = sqlalchemy_inspect(connection)
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present = set(inspector.get_table_names())
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mismatched: dict[str, tuple[object, int]] = {}
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for name, expected in EXPECTED_ROW_COUNTS.items():
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if name not in present:
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mismatched[name] = ("missing", expected)
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continue
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actual = connection.execute(text(f'select count(*) from "{name}"')).scalar_one()
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if actual != expected:
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mismatched[name] = (actual, expected)
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if not mismatched:
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return
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detail = ", ".join(f"{name}: found {found}, expected {want}" for name, (found, want) in sorted(mismatched.items()))
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message = f"Database row counts do not match the recorded V4.6 snapshot ({detail})"
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if strict:
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raise RuntimeError(message)
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print(f"WARNING: {message}", file=sys.stderr)
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def rotate_stored_images(connection: Connection, *, dry_run: bool) -> int:
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"""Step 1: rewrite every mis-oriented stored image and its recorded digest."""
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source = SQLModel.metadata.tables["source"]
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rows = connection.execute(
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select(source.c.id, source.c.file_path, source.c.filename)
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).all()
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rotated = 0
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missing = 0
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for source_id, file_path, filename in rows:
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path = Path(str(file_path))
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if not path.is_file():
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print(f" WARNING: source file not found, skipped: {path}", file=sys.stderr)
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missing += 1
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continue
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content = path.read_bytes()
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normalized = normalize_orientation(content, media_type=source_mime_type(str(filename)))
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if normalized is None:
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continue
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rotated += 1
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print(
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f" {path.name} orientation={normalized.original_orientation} "
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f"rotation={normalized.applied_rotation_degrees} "
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f"{len(content)} -> {len(normalized.content)} bytes"
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)
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if dry_run:
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continue
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path.write_bytes(normalized.content)
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connection.execute(
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update(source)
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.where(source.c.id == source_id)
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.values(
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file_hash=hashlib.sha256(normalized.content).hexdigest(),
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file_size_bytes=len(normalized.content),
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)
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)
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print(f" rotated={rotated} upright={len(rows) - rotated - missing} missing={missing}")
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return rotated
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def drop_processing_artifacts(connection: Connection, artifact_dir: Path, *, dry_run: bool) -> int:
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"""Step 2: drop the artifact table and delete the files it referenced."""
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inspector = sqlalchemy_inspect(connection)
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if ARTIFACT_TABLE not in set(inspector.get_table_names()):
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print(f" {ARTIFACT_TABLE} already absent")
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return 0
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references = [
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str(row[0])
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for row in connection.execute(
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text(f'select external_reference from "{ARTIFACT_TABLE}" where external_reference is not null')
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)
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]
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count = connection.execute(text(f'select count(*) from "{ARTIFACT_TABLE}"')).scalar_one()
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print(f" dropping {ARTIFACT_TABLE} ({count} row(s), {len(references)} external file(s))")
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if dry_run:
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return count
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connection.execute(text(f'drop table "{ARTIFACT_TABLE}"'))
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artifact_root = artifact_dir.resolve()
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for reference in references:
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relative = Path(reference)
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if relative.is_absolute() or ".." in relative.parts:
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print(f" WARNING: skipped unsafe artifact reference: {reference}", file=sys.stderr)
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continue
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artifact_path = (artifact_root / relative).resolve()
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if artifact_root not in artifact_path.parents:
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print(f" WARNING: skipped artifact outside root: {reference}", file=sys.stderr)
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continue
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artifact_path.unlink(missing_ok=True)
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parent = artifact_path.parent
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if parent != artifact_root and parent.is_dir() and not any(parent.iterdir()):
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parent.rmdir()
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return count
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def migrate(*, settings: Settings, artifact_dir: Path, dry_run: bool, strict_counts: bool) -> None:
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"""Apply every V4.7 migration step in order."""
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engine = create_engine(_sync_url(settings))
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try:
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with engine.begin() as connection:
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_preflight(connection, strict=strict_counts)
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print("\nStep 1: rotate stored images")
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rotate_stored_images(connection, dry_run=dry_run)
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print(f"\nStep 2: drop {ARTIFACT_TABLE}")
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drop_processing_artifacts(connection, artifact_dir, dry_run=dry_run)
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finally:
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engine.dispose()
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if dry_run:
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print("\nDry run: nothing was written.")
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else:
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print("\nDone.")
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def main(argv: Sequence[str] | None = None) -> int:
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parser = argparse.ArgumentParser(description=__doc__, formatter_class=argparse.RawDescriptionHelpFormatter)
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parser.add_argument("--dry-run", action="store_true", help="Report what would change without writing")
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parser.add_argument(
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"--allow-count-mismatch",
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action="store_true",
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help="Warn instead of aborting when row counts differ from the recorded V4.6 snapshot",
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)
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parser.add_argument(
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"--artifact-dir",
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type=Path,
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default=DEFAULT_ARTIFACT_DIR,
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help="Directory that held external artifact files before V4.7",
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)
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args = parser.parse_args(argv)
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settings = get_settings()
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print(f"Target: {_sync_url(settings)}")
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migrate(
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settings=settings,
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artifact_dir=args.artifact_dir,
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dry_run=args.dry_run,
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strict_counts=not args.allow_count_mismatch,
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)
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return 0
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if __name__ == "__main__":
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raise SystemExit(main())
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