US07-03: Harden Media and Metadata Edge Cases (#85)
This commit was merged in pull request #85.
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@@ -7,6 +7,7 @@ Alembic environment relies on.
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from photo_pipeline.models.albums import AlbumProposal
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from photo_pipeline.models.archives import ArchiveLocation, ArchiveOperation, ArchivePlan
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from photo_pipeline.models.assets import Asset, AssetPath
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from photo_pipeline.models.exif import ExifProjection
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from photo_pipeline.models.duplicates import (
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DuplicateCluster,
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DuplicateMember,
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@@ -28,6 +29,7 @@ __all__ = [
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"DuplicateCluster",
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"DuplicateMember",
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"DuplicateNegativeLink",
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"ExifProjection",
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"Job",
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"JobItem",
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"JobEvent",
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33
photo_pipeline/models/exif.py
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33
photo_pipeline/models/exif.py
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@@ -0,0 +1,33 @@
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"""The durable EXIF projection per asset and stage (concept §3, US07-03).
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One row per ``(asset_id, stage)``: what the stage wanted written, what the file
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looked like afterwards, and whether anything outside the stage's ownership moved.
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``state = divergent`` is the whole point of the table — it survives restarts, keeps
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the asset out of stages that require verified metadata, and gives a human something
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to look at instead of a silent repair.
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"""
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from __future__ import annotations
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from datetime import datetime
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from sqlalchemy import DateTime, ForeignKey, Integer, String
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from sqlalchemy.orm import Mapped, mapped_column
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from photo_pipeline.db import Base
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class ExifProjection(Base):
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__tablename__ = "exif_projections"
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asset_id: Mapped[str] = mapped_column(ForeignKey("assets.id"), primary_key=True)
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stage: Mapped[str] = mapped_column(String, primary_key=True) # safety | analysis
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id: Mapped[str] = mapped_column(String, nullable=False)
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projection_version: Mapped[int] = mapped_column(Integer, nullable=False, default=0)
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desired_json: Mapped[str | None] = mapped_column(String)
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divergent_fields: Mapped[str | None] = mapped_column(String) # JSON array
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result_file_sha256: Mapped[str | None] = mapped_column(String)
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state: Mapped[str] = mapped_column(String, nullable=False) # verified|divergent|failed
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error_code: Mapped[str | None] = mapped_column(String)
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verified_at: Mapped[datetime | None] = mapped_column(DateTime(timezone=True))
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updated_at: Mapped[datetime | None] = mapped_column(DateTime(timezone=True))
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