bb458aa924
- Remove legacy_tasks.py, hybrid_state.py, render.py - Remove old task modules (analyze, execute, execute_sexp, orchestrate) - Add streaming interpreter from test repo - Add sexp_effects with primitives and video effects - Add streaming Celery task with CID-based asset resolution - Support both CID and friendly name references for assets - Add .dockerignore to prevent local clones from conflicting Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
37 lines
1.0 KiB
Python
37 lines
1.0 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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from celery import Celery
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REDIS_URL = os.environ.get('REDIS_URL', 'redis://localhost:6379/5')
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app = Celery(
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'art_celery',
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broker=REDIS_URL,
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backend=REDIS_URL,
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include=['tasks', 'tasks.streaming']
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)
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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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