Files
photoanalyzer/photo_pipeline/jobs/handlers.py

60 lines
1.9 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
# Handlers that talk to an external tool (uploads) need the typed configuration;
# the worker passes its own so a test stack is never read from the environment.
config: 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