WangShen007
20fef2b9f3
One word everywhere: ReplyPier in UI copy, package and image names, the replypier.site domains (app/api/docs/help), REPLYPIER_* settings and the --rp-* design tokens. - public widget API is window.ReplyPier with replypierId / replypierBaseUrl / replypierConfig / replypierToken, loader at webclient/replypier.min.js; both bundles rebuilt from source - NOTICE, llms.txt, CONTRIBUTING, HELP_CENTER_INFRA and the demo runtime config rewritten; the demo config ships no third-party keys - migration adds the ReplyPier managed model value to the AI model enum - local compose project, database, role, volume and Docker network carry the same name
119 lines
4.6 KiB
Python
119 lines
4.6 KiB
Python
"""
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Copyright 2024-2026 ReplyPier
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License.
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"""
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"""
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Knowledge Processor Runner
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This script runs the knowledge processor independently at regular intervals.
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"""
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import asyncio
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import sys
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import os
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from pathlib import Path
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# Add the parent directory to Python path to allow imports
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sys.path.append(str(Path(__file__).parent.parent.parent))
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from app.core.system_maintenance import wait_for_deployment
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from app.workers.knowledge_processor import run_processor
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from app.core.logger import get_logger
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from app.services.firebase import initialize_firebase
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logger = get_logger(__name__)
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# Configure polling interval
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POLL_INTERVAL = int(os.environ.get('POLL_INTERVAL', '10')) # Default to 10 seconds
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WORKER_ID = os.environ.get('GUNICORN_WORKER_ID', 'standalone')
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# Initialize Firebase on module load
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try:
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logger.info(f"Initializing Firebase for worker {WORKER_ID}...")
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initialize_firebase()
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logger.info(f"Worker {WORKER_ID}: Firebase initialized successfully")
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except Exception as e:
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logger.error(f"Worker {WORKER_ID}: Failed to initialize Firebase: {e}")
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async def run_processor_loop():
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"""Run the knowledge processor in a continuous loop with short poll interval"""
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logger.info(f"Worker {WORKER_ID}: Starting knowledge processor with {POLL_INTERVAL}s polling interval")
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try:
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logger.info(f"Worker {WORKER_ID}: Starting knowledge processor loop")
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iteration = 0
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while True:
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await wait_for_deployment()
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iteration += 1
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start_time = asyncio.get_event_loop().time()
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try:
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logger.info(f"Worker {WORKER_ID}: Iteration {iteration} - Checking for pending knowledge items...")
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await run_processor()
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logger.info(f"Worker {WORKER_ID}: Iteration {iteration} - Processing completed successfully")
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except Exception as e:
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logger.error(f"Worker {WORKER_ID}: Iteration {iteration} - Error in knowledge processor: {str(e)}")
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# FAQ generation jobs ride the same loop in this entrypoint too, so
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# both worker entrypoints drain the FAQ queue.
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try:
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from app.workers.faq_processor import run_faq_processor
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await run_faq_processor()
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except Exception as e:
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logger.error(f"Worker {WORKER_ID}: Iteration {iteration} - Error in FAQ processor: {str(e)}")
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# Calculate how long the processing took
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elapsed = asyncio.get_event_loop().time() - start_time
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logger.info(f"Worker {WORKER_ID}: Iteration {iteration} - Processing took {elapsed:.2f} seconds")
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# If the processing took less than the polling interval, sleep for the remainder
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sleep_time = max(0.1, POLL_INTERVAL - elapsed)
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logger.info(f"Worker {WORKER_ID}: Iteration {iteration} - Sleeping for {sleep_time:.2f} seconds before next check")
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await asyncio.sleep(sleep_time)
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except Exception as e:
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logger.error(f"Worker {WORKER_ID}: Fatal error in knowledge processor: {str(e)}")
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sys.exit(1)
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def app(environ, start_response):
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"""WSGI application for health checks"""
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status = '200 OK'
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headers = [('Content-type', 'application/json')]
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start_response(status, headers)
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return [b'{"status": "running"}']
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# Set worker ID if running under Gunicorn
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if 'GUNICORN_WORKER_ID' not in os.environ and 'GUNICORN_ARBITER' in os.environ:
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pid = os.getpid()
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os.environ['GUNICORN_WORKER_ID'] = f"worker-{pid}"
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WORKER_ID = f"worker-{pid}"
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# Start the processor loop in the background when Gunicorn loads this module
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logger.info(f"Worker {WORKER_ID}: Initializing knowledge processor worker")
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loop = asyncio.new_event_loop()
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asyncio.set_event_loop(loop)
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task = loop.create_task(run_processor_loop())
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if __name__ == "__main__":
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try:
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asyncio.run(run_processor_loop())
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except KeyboardInterrupt:
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logger.info("Knowledge processor stopped by user")
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except Exception as e:
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logger.error(f"Fatal error in knowledge processor: {str(e)}")
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sys.exit(1)
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