feat: define unified schema (Artist, Source, Post, ImageRecord, etc.) and initial migration
Implements the data model from spec §3 in one go so FC-2/FC-3 don't need schema-adding migrations of their own. Artist is the unified entity for both gallery 'artist:' tags and GallerySubscriber Subscriptions (is_subscription flag). ImageProvenance is many-to-one, enabling the enrich-on-duplicate rule for downloaded content that pHash-matches an existing record. The SigLIP embedding column uses pgvector(1152) for SigLIP-so400m; swapping models in FC-2 will require a column-width migration. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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"""ImageProvenance — links an ImageRecord to a Post.
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Many-to-one (one image, many provenance rows) enables the enrich-on-duplicate
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rule (spec §3): when a downloaded image is a pHash dupe of an existing
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record, we append a new provenance row to the existing record rather than
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dropping the metadata.
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"""
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from datetime import datetime
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from sqlalchemy import JSON, DateTime, ForeignKey, Integer, func
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from sqlalchemy.orm import Mapped, mapped_column
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from .base import Base
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class ImageProvenance(Base):
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__tablename__ = "image_provenance"
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id: Mapped[int] = mapped_column(Integer, primary_key=True)
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image_record_id: Mapped[int] = mapped_column(
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ForeignKey("image_record.id", ondelete="CASCADE"), nullable=False, index=True
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)
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post_id: Mapped[int] = mapped_column(
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ForeignKey("post.id", ondelete="CASCADE"), nullable=False, index=True
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)
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source_id: Mapped[int] = mapped_column(
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ForeignKey("source.id", ondelete="CASCADE"), nullable=False, index=True
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)
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captured_metadata: Mapped[dict | None] = mapped_column(JSON, nullable=True)
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captured_at: Mapped[datetime] = mapped_column(
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DateTime(timezone=True), nullable=False, server_default=func.now()
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)
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