Files
photoanalyzer/photo_pipeline/jobs/handlers.py
domverse 457dd5bd90 US02-06: Deliver Workflow, Safety, Library, Analysis, and Stats Views
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>
2026-08-06 16:52:01 +02:00

57 lines
1.7 KiB
Python

"""Job-type handler dispatch.
A handler processes one item of a job: ``handler(item_key, ctx)`` and either
returns (success), raises ``Cancelled`` (cooperative stop, resumable), or raises
any other exception (item failure). Handlers must be idempotent — at-least-once
delivery means the same item can run again after an interrupted attempt.
Domain handlers (safety scoring, analysis, …) register here in later stories; the
registry ships empty so the worker engine can be built and tested independently.
"""
from __future__ import annotations
from dataclasses import dataclass
from typing import TYPE_CHECKING, Callable
if TYPE_CHECKING:
from photo_pipeline.services.jobs import JobService
Handler = Callable[[str, "JobContext"], None]
class Cancelled(Exception):
"""Raised by a handler that observed cancellation and stopped cleanly."""
@dataclass
class JobContext:
"""What a handler needs from the coordinator: cancellation checks, heartbeats,
and the session factory to build domain services against."""
job_id: str
worker_id: str
fencing_token: int
service: "JobService"
session_factory: object | None = None
def cancelled(self) -> bool:
from photo_pipeline.services.jobs import JobState
snapshot = self.service.get(self.job_id)
return snapshot is None or snapshot["state"] in (
JobState.CANCELLING,
JobState.CANCELLED,
)
def heartbeat(self, *, lease_seconds: int = 60) -> bool:
return self.service.heartbeat(self.job_id, self.worker_id, lease_seconds=lease_seconds)
# Populated by domain stories via register(); empty for now.
REGISTRY: dict[str, Handler] = {}
def register(job_type: str, handler: Handler) -> None:
REGISTRY[job_type] = handler