giles
1a74d811f7
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Merges full history from art-dag/mono.git into the monorepo under the artdag/ directory. Contains: core (DAG engine), l1 (Celery rendering server), l2 (ActivityPub registry), common (shared templates/middleware), client (CLI), test (e2e). Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> git-subtree-dir: artdag git-subtree-mainline:1a179de547git-subtree-split:4c2e716558
52 lines
1.5 KiB
Python
52 lines
1.5 KiB
Python
"""
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Art DAG Celery Application
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Streaming video rendering for the Art DAG system.
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Uses S-expression recipes with frame-by-frame processing.
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"""
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import os
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import sys
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from celery import Celery
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from celery.signals import worker_ready
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# Use central config
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sys.path.insert(0, os.path.dirname(os.path.abspath(__file__)))
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from app.config import settings
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app = Celery(
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'art_celery',
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broker=settings.redis_url,
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backend=settings.redis_url,
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include=['tasks', 'tasks.streaming', 'tasks.ipfs_upload']
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)
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@worker_ready.connect
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def log_config_on_startup(sender, **kwargs):
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"""Log configuration when worker starts."""
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print("=" * 60, file=sys.stderr)
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print("WORKER STARTED - CONFIGURATION", file=sys.stderr)
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print("=" * 60, file=sys.stderr)
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settings.log_config()
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print(f"Worker: {sender}", file=sys.stderr)
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print("=" * 60, file=sys.stderr)
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app.conf.update(
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result_expires=86400 * 7, # 7 days - allow time for recovery after restarts
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task_serializer='json',
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accept_content=['json', 'pickle'], # pickle needed for internal Celery messages
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result_serializer='json',
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event_serializer='json',
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timezone='UTC',
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enable_utc=True,
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task_track_started=True,
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task_acks_late=True, # Don't ack until task completes - survives worker restart
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worker_prefetch_multiplier=1,
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task_reject_on_worker_lost=True, # Re-queue if worker dies
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task_acks_on_failure_or_timeout=True, # Ack failed tasks so they don't retry forever
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)
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if __name__ == '__main__':
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app.start()
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