Ports the safety review and the Photo Analyzer Library/Analyze/Stats experiences onto the shared API + service layer, and adds the Workflow home, enforcing the pipeline gates and the one-mutating-job policy. Backend - migration 0005 + models: safety_reviews (append-only, latest row is the current decision) and analysis_results (donor photos schema re-keyed to asset_id). - SafetyService: persist scores/decisions, review queue with filters, and the EXIF safety checkpoint (mutually-exclusive sfw/nsfw keyword written, read back, current_sha256 refreshed) that upload eligibility depends on. - AnalysisService: the privacy gate — the vision provider is called ONLY for canonical, confirmed-SFW assets; nsfw/undecided are recorded skipped without a request. Provider is an injected adapter (real OpenAI-compatible Gemini call extracted from photo_analyzer.analyze_image; a fake in tests). - LibraryService: Library search + Stats read model ported from webapp/query.py (LIKE search in place of FTS5; facets, top tags, years, albums, people). - WorkflowService + GET /api/v1/workflow: per-stage readiness derived from the source tables — counts, blockers, last-run, action, and an active_job that drives read-only-during-jobs. Safety scoring and analysis run as durable jobs under the library_write lock via new domain handlers, so a second mutating job is refused. - routes: workflow, safety (queue/counts/decisions/jobs), analysis (counts/results/jobs), library (assets/facets/stats). Frontend - five views (frontend/js/views.js) on the US02-05 shell: Workflow stepper (status text+icon, not colour alone; actions disabled with a reason while a job runs), Safety review (filter tabs, decide, persists across reload), Library (search + cards), Analyze (counts + live job log via the SSE adapter), Stats. Shared DOM helpers extracted to dom.js; Workflow is the home route. Tests - integration: provider-call privacy (nsfw never reaches the provider), sfw→nsfw flip drops analysis eligibility, decision persistence, one-mutating- job rejection, workflow counts, and the exiftool safety-keyword write/verify. - e2e: Workflow cards, actions disabled+explained during a job, safety decide-persists-across-reload, Library search, Stats, Analyze counts. - traceability map updated for US02-05 and US02-06. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
64 lines
2.5 KiB
Python
64 lines
2.5 KiB
Python
"""Safety reviews and content-analysis results (US02-06).
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Revision ID: 0005_safety_analysis
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Revises: 0004_durable_jobs
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Create Date: 2026-08-06
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"""
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import sqlalchemy as sa
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from alembic import op
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revision = "0005_safety_analysis"
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down_revision = "0004_durable_jobs"
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branch_labels = None
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depends_on = None
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def upgrade() -> None:
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op.create_table(
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"safety_reviews",
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sa.Column("id", sa.String(), primary_key=True),
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sa.Column("asset_id", sa.String(), sa.ForeignKey("assets.id"), nullable=False),
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sa.Column("score", sa.Float(), nullable=True),
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sa.Column("decision", sa.String(), nullable=True),
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sa.Column("prior_decision", sa.String(), nullable=True),
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sa.Column("reviewer", sa.String(), nullable=True),
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sa.Column("exif_verified_at", sa.DateTime(timezone=True), nullable=True),
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sa.Column("result_sha256", sa.String(), nullable=True),
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sa.Column(
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"created_at",
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sa.DateTime(timezone=True),
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nullable=False,
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server_default=sa.text("CURRENT_TIMESTAMP"),
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),
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)
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op.create_index("ix_safety_reviews_asset_id", "safety_reviews", ["asset_id"])
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op.create_table(
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"analysis_results",
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sa.Column("asset_id", sa.String(), sa.ForeignKey("assets.id"), primary_key=True),
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sa.Column("status", sa.String(), nullable=False, server_default="pending"),
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sa.Column("description", sa.String(), nullable=True),
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sa.Column("tags", sa.String(), nullable=True),
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sa.Column("people_count", sa.Integer(), nullable=True),
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sa.Column("setting", sa.String(), nullable=True),
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sa.Column("time_of_day", sa.String(), nullable=True),
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sa.Column("season", sa.String(), nullable=True),
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sa.Column("mood", sa.String(), nullable=True),
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sa.Column("location_hint", sa.String(), nullable=True),
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sa.Column("approx_year", sa.Integer(), nullable=True),
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sa.Column("model", sa.String(), nullable=True),
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sa.Column("prompt_version", sa.String(), nullable=True),
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sa.Column("tokens_total", sa.Integer(), nullable=True),
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sa.Column("raw_response", sa.String(), nullable=True),
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sa.Column("error_message", sa.String(), nullable=True),
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sa.Column("analyzed_at", sa.DateTime(timezone=True), nullable=True),
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sa.Column("exif_written_at", sa.DateTime(timezone=True), nullable=True),
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)
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op.create_index("ix_analysis_results_status", "analysis_results", ["status"])
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def downgrade() -> None:
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op.drop_table("analysis_results")
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op.drop_table("safety_reviews")
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