"""Domain job handlers: safety scoring, content analysis, uploads, archive transfers, restores (US02-06, US05-02, US06-02, US06-04). Importing this module registers the ``safety_score``, ``analysis``, ``upload_batch``, ``archive_plan``, and ``restore_plan`` job types so the generic worker can run them per item. Each handler delegates to its service, which owns the real work and the privacy gate. Handlers are idempotent: re-scoring or re-analyzing one asset is safe after an interrupted attempt, an upload batch refuses to re-run an attempt whose outcome is unknown, and an archive plan skips items it already completed. Providers/models are the service defaults here (real NsfwModel / vision provider); tests exercise the services directly with injected fakes rather than the worker. """ from __future__ import annotations from photo_pipeline.jobs.handlers import Cancelled, JobContext, register SAFETY_SCORE = "safety_score" ANALYSIS = "analysis" UPLOAD_BATCH = "upload_batch" ARCHIVE_PLAN = "archive_plan" RESTORE_PLAN = "restore_plan" # Both mutate the library's metadata/derived state; one at a time (concept §one job). LIBRARY_WRITE_LOCK = "library_write" # The uploader lane: one album batch at a time (concept §16). UPLOAD_LOCK = "upload" # The archiver lane: one archive/restore plan at a time (concept §16). ARCHIVE_LOCK = "archive" def _safety_score_item(asset_id: str, ctx: JobContext) -> None: from photo_pipeline.services.safety import SafetyService SafetyService(ctx.session_factory).score_assets([asset_id]) def _analysis_item(asset_id: str, ctx: JobContext) -> None: from photo_pipeline.services.analysis import AnalysisService roots = tuple(getattr(ctx.config, "library_roots", ()) or ()) AnalysisService(ctx.session_factory, library_roots=roots).run([asset_id]) def _upload_batch_item(batch_id: str, ctx: JobContext) -> None: """One item = one album batch. The upload itself is long and external, so the handler hands the job's cancellation check to the service, which stops the uploader and leaves a resumable batch.""" from photo_pipeline.config import Config from photo_pipeline.services.upload_batches import BatchState, UploadBatchService config = ctx.config if ctx.config is not None else Config.from_env() service = UploadBatchService(ctx.session_factory, config=config) batch = service.run(batch_id, worker_id=ctx.worker_id, cancelled=ctx.cancelled) if batch["state"] == BatchState.CANCELLED: raise Cancelled(f"upload batch {batch_id} was cancelled") if batch["state"] in (BatchState.FAILED, BatchState.UNKNOWN): raise RuntimeError(f"upload batch {batch_id} is {batch['state']}: {batch['error_code']}") def _archive_plan_item(plan_id: str, ctx: JobContext) -> None: """One item = one archive plan. Item-level failures stay in the journal (the source is then still there); only an unusable plan fails the job.""" from photo_pipeline.config import Config from photo_pipeline.services.archive_transfer import ArchiveTransferService config = ctx.config if ctx.config is not None else Config.from_env() result = ArchiveTransferService(ctx.session_factory, config=config).apply( plan_id, worker_id=ctx.worker_id ) if result["failed"]: raise RuntimeError(f"archive plan {plan_id}: {result['failed']} item(s) failed") def _restore_plan_item(plan_id: str, ctx: JobContext) -> None: """One item = one restore plan. A restore removes nothing, so an item failure simply leaves that asset archived (US06-04).""" from photo_pipeline.config import Config from photo_pipeline.services.restores import RestoreService config = ctx.config if ctx.config is not None else Config.from_env() result = RestoreService(ctx.session_factory, config=config).apply( plan_id, worker_id=ctx.worker_id ) if result["failed"]: raise RuntimeError(f"restore plan {plan_id}: {result['failed']} item(s) failed") register(SAFETY_SCORE, _safety_score_item) register(ANALYSIS, _analysis_item) register(UPLOAD_BATCH, _upload_batch_item) register(ARCHIVE_PLAN, _archive_plan_item) register(RESTORE_PLAN, _restore_plan_item)