phase 1

detect/checkpoint/__init__.py

@@ -5,7 +5,6 @@ Checkpoint system — Timeline + Checkpoint tree.
         frames.py      — frame image S3 upload/download
         storage.py     — Timeline + Checkpoint (Postgres + MinIO)
         replay.py      — replay (TODO: migrate to new model)
-        tasks.py       — retry_candidates Celery task
 """
 
 from .storage import (

detect/checkpoint/tasks.py

@@ -1,71 +0,0 @@
-"""
-Celery tasks for detection pipeline async operations.
-
-retry_candidates: re-run VLM/cloud escalation with different config.
-"""
-
-from __future__ import annotations
-
-import logging
-import uuid
-from datetime import datetime, timezone
-
-from celery import shared_task
-
-logger = logging.getLogger(__name__)
-
-
-@shared_task(bind=True, max_retries=1, default_retry_delay=30)
-def retry_candidates(
-    self,
-    job_id: str,
-    config_overrides: dict | None = None,
-    start_stage: str = "escalate_vlm",
-):
-    """
-    Retry unresolved candidates with different config.
-
-    Loads the checkpoint from the stage before start_stage,
-    applies config overrides (e.g. different cloud provider),
-    and runs from start_stage onward.
-    """
-    from detect.checkpoint.replay import replay_from
-
-    run_id = str(uuid.uuid4())[:8]
-    logger.info("Retry task %s: job=%s, from=%s, overrides=%s",
-                run_id, job_id, start_stage, config_overrides)
-
-    try:
-        result = replay_from(
-            job_id=job_id,
-            start_stage=start_stage,
-            config_overrides=config_overrides,
-        )
-
-        detections = result.get("detections", [])
-        report = result.get("report")
-        brands_found = len(report.brands) if report else 0
-
-        logger.info("Retry %s complete: %d detections, %d brands",
-                    run_id, len(detections), brands_found)
-
-        return {
-            "status": "completed",
-            "run_id": run_id,
-            "job_id": job_id,
-            "detections": len(detections),
-            "brands_found": brands_found,
-        }
-
-    except Exception as e:
-        logger.exception("Retry %s failed: %s", run_id, e)
-
-        if self.request.retries < self.max_retries:
-            raise self.retry(exc=e)
-
-        return {
-            "status": "failed",
-            "run_id": run_id,
-            "job_id": job_id,
-            "error": str(e),
-        }