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Update server.py
Browse files
server.py
CHANGED
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@@ -124,7 +124,7 @@ def ensure_database() -> Collection:
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if not MONGO_URI:
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raise RuntimeError("NEXT_MONGODB_URI not configured")
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mongo_client = MongoClient(MONGO_URI)
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db = mongo_client.get_database(MONGO_DB_NAME)
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jobs_collection = db["jobs"]
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# analytics collection stores aggregated counts per day and hourly breakdowns
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@@ -388,8 +388,8 @@ async def process_job(job_id: str) -> None:
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logger.info(f"[Job {job_id}] Processing started")
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if not input_path.exists():
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logger.warning(f"[Job {job_id}] Input file not found,
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await
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return
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image_bytes = input_path.read_bytes()
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@@ -440,6 +440,33 @@ def can_run_job(job: dict) -> bool:
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def claim_next_job() -> Optional[dict]:
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collection = get_job_store()
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candidates = list(
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collection.find({"status": "queued"}).sort("createdAt", 1).limit(100)
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)
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@@ -448,8 +475,17 @@ def claim_next_job() -> Optional[dict]:
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for job in candidates:
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input_path = Path(job.get("inputPath", ""))
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if input_path and not input_path.exists():
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logger.warning(f"[Job {job['jobId']}] Queued job has missing input file,
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collection.
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# Re-fetch candidates after cleanup
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candidates = list(
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@@ -465,8 +501,8 @@ def claim_next_job() -> Optional[dict]:
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{
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"$set": {
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"status": "starting",
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"updatedAt":
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"startedAt":
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}
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},
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return_document=ReturnDocument.AFTER,
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@@ -483,22 +519,28 @@ async def dispatcher_loop() -> None:
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assert dispatcher_wakeup is not None
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while True:
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while True:
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async with active_tasks_lock:
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active_count = len(active_tasks)
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current_concurrency = get_dynamic_concurrency()
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if active_count >= current_concurrency:
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break
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job = await asyncio.to_thread(claim_next_job)
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if not job:
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break
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task = asyncio.create_task(process_job(job["jobId"]))
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async with active_tasks_lock:
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active_tasks.add(task)
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try:
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await asyncio.wait_for(dispatcher_wakeup.wait(), timeout=QUEUE_POLL_SECONDS)
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except asyncio.TimeoutError:
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@@ -506,6 +548,9 @@ async def dispatcher_loop() -> None:
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dispatcher_wakeup.clear()
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async def cleanup_loop() -> None:
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"""
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if not MONGO_URI:
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raise RuntimeError("NEXT_MONGODB_URI not configured")
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mongo_client = MongoClient(MONGO_URI, tz_aware=True)
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db = mongo_client.get_database(MONGO_DB_NAME)
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jobs_collection = db["jobs"]
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# analytics collection stores aggregated counts per day and hourly breakdowns
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logger.info(f"[Job {job_id}] Processing started")
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if not input_path.exists():
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logger.warning(f"[Job {job_id}] Input file not found, marking failed")
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await update_job(job_id, {"status": "failed", "error": "Input file not found"})
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return
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image_bytes = input_path.read_bytes()
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def claim_next_job() -> Optional[dict]:
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collection = get_job_store()
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now = utcnow()
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# Clean up stale "starting" jobs that have been stuck for >2 minutes
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# These could be from crashed workers or hung processes
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stale_starting = list(collection.find({
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"status": "starting",
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"startedAt": {"$lt": now - timedelta(minutes=2)}
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}))
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for job in stale_starting:
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logger.warning(f"[Job {job['jobId']}] Stale starting job, resetting to queued")
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collection.update_one(
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{"jobId": job["jobId"]},
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{"$set": {"status": "queued", "updatedAt": now}},
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)
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# Clean up stale "running" jobs that have been stuck for >5 minutes
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stale_running = list(collection.find({
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"status": "running",
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"startedAt": {"$lt": now - timedelta(minutes=5)}
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}))
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for job in stale_running:
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logger.warning(f"[Job {job['jobId']}] Stale running job, marking failed")
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collection.update_one(
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{"jobId": job["jobId"]},
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{"$set": {"status": "failed", "error": "Job timed out", "updatedAt": now}},
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)
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candidates = list(
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collection.find({"status": "queued"}).sort("createdAt", 1).limit(100)
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)
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for job in candidates:
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input_path = Path(job.get("inputPath", ""))
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if input_path and not input_path.exists():
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logger.warning(f"[Job {job['jobId']}] Queued job has missing input file, marking failed")
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collection.update_one(
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{"jobId": job["jobId"]},
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{
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"$set": {
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"status": "failed",
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"error": "Queued job input file is missing",
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"updatedAt": now,
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}
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},
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)
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# Re-fetch candidates after cleanup
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candidates = list(
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{
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"$set": {
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"status": "starting",
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"updatedAt": now,
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"startedAt": now,
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}
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},
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return_document=ReturnDocument.AFTER,
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assert dispatcher_wakeup is not None
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while True:
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# Claim and process as many jobs as we can
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while True:
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# Check current concurrency
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async with active_tasks_lock:
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active_count = len(active_tasks)
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current_concurrency = get_dynamic_concurrency()
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if active_count >= current_concurrency:
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break
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# claim_next_job handles cleanup and returns an already-claimed job
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job = await asyncio.to_thread(claim_next_job)
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if not job:
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break
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logger.info(f"[Dispatcher] Processing job {job['jobId']}")
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task = asyncio.create_task(process_job(job["jobId"]))
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async with active_tasks_lock:
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active_tasks.add(task)
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# No more jobs to claim, wait for work
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try:
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await asyncio.wait_for(dispatcher_wakeup.wait(), timeout=QUEUE_POLL_SECONDS)
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except asyncio.TimeoutError:
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dispatcher_wakeup.clear()
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dispatcher_wakeup.clear()
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logger.debug(f"[Dispatcher] Woke up, checking for new jobs")
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async def cleanup_loop() -> None:
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"""
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