xiaoxia-agent
ca108bb14e
Debug Lipsync SSH Diag / SSH Staging Diagnostics (push) Successful in 1m19s
118 lines
4.7 KiB
Bash
118 lines
4.7 KiB
Bash
#!/bin/bash
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# Lipsync staging 诊断脚本（在staging服务器本机执行）
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set +e
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echo "#########################################################"
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echo "# Lipsync TTS async 诊断报告"
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echo "# Host: $(hostname)"
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echo "# Date: $(date)"
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echo "#########################################################"
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echo ""
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echo "=== 1. docker ps (worker/api/redis) ==="
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docker ps --format 'table {{.Names}}\t{{.Image}}\t{{.Status}}\t{{.CreatedAt}}' | grep -E "worker|api|redis|nginx|NAMES"
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W=$(docker ps --format '{{.Names}}' | grep -E 'worker' | head -1)
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A=$(docker ps --format '{{.Names}}' | grep -E 'api' | grep -v 'web' | head -1)
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R=$(docker ps --format '{{.Names}}' | grep -E 'redis' | head -1)
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echo ""
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echo "=== Worker container: $W ==="
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echo "=== API container: $A ==="
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echo "=== Redis container: $R ==="
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echo ""
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echo "=== 2. Worker container image + created time ==="
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docker inspect "$W" --format 'Image={{.Config.Image}} Created={{.Created}}'
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docker inspect "$A" --format 'Image={{.Config.Image}} Created={{.Created}}'
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echo ""
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echo "=== 3. Worker 启动日志：celery ready / registered / lipsync 相关 ==="
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docker logs --tail=500 "$W" 2>&1 | grep -iE "lipsync|tts_synth|synthesize|celery@|ready|registered|register|error|traceback|import|critical|not registered|Consumer|mingle|tasks" | tail -120
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echo ""
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echo "=== 4. celery -A inspect registered ==="
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docker exec "$W" celery -A worker_app.celery_app inspect registered 2>&1 | tail -80
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echo ""
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echo "=== 5. celery -A inspect active/reserved ==="
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echo "--- active ---"
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docker exec "$W" celery -A worker_app.celery_app inspect active 2>&1 | tail -30
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echo "--- reserved ---"
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docker exec "$W" celery -A worker_app.celery_app inspect reserved 2>&1 | tail -30
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echo ""
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echo "=== 6. Worker 内 Python: import lipsync_tts task，看绑定 ==="
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docker exec "$W" python -c "
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from worker_app.celery_app import celery_app
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print('worker celery_app.main:', celery_app.main)
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print('worker celery_app.conf.imports:')
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for m in celery_app.conf.imports:
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print(' ', m)
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import app.tasks.lipsync_tts as m
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t = m.tts_synthesize_and_submit
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print('task name:', t.name)
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print('task.app.main:', t.app.main)
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print('task.app is worker celery_app:', t.app is celery_app)
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print('task.name in worker celery_app.tasks:', t.name in celery_app.tasks)
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" 2>&1
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echo ""
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echo "=== 7. API 容器日志：lipsync/celery/apply_async 相关错误 ==="
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docker logs --tail=800 "$A" 2>&1 | grep -iE "lipsync|tts_|celery|apply_async|NotRegistered|traceback|error.*task" | tail -120
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echo ""
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echo "=== 8. API 内 Python: import task 看绑定 + apply_async 试投递（不消费） ==="
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docker exec "$A" python -c "
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import traceback
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try:
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from app.tasks.lipsync_tts import tts_synthesize_and_submit
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from app.core.celery_app import celery_app as api_app
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print('api celery_app.main:', api_app.main)
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print('task name:', tts_synthesize_and_submit.name)
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print('task.app.main:', tts_synthesize_and_submit.app.main)
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print('task.app is api_app:', tts_synthesize_and_submit.app is api_app)
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print('task.name in api_app.tasks:', tts_synthesize_and_submit.name in api_app.tasks)
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# 测试 send_task 是否能路由（不发送真任务）
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print('api_app tasks includes lipsync_tts.synthesize_and_submit:', 'lipsync_tts.synthesize_and_submit' in api_app.tasks)
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except Exception as e:
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traceback.print_exc()
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" 2>&1
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echo ""
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echo "=== 9. Redis 队列长度 ==="
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for q in celery generation transcode; do
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len=$(docker exec "$R" redis-cli LLEN $q 2>&1)
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echo " $q length: $len"
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done
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echo ""
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echo "=== 10. Redis celery 队列 peek（最多5条） ==="
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docker exec "$R" redis-cli LRANGE celery 0 4 2>&1 | head -40
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echo ""
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echo "=== 11. Worker 关键文件内容校验 ==="
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echo "--- worker_app/celery_app.py imports 段 ---"
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docker exec "$W" grep -n "lipsync\|imports\s*=\|app.tasks\|apps.api" /app/apps/worker/worker_app/celery_app.py 2>&1
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echo ""
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echo "--- lipsync_tts.py 前20行（应该是 shared_task） ---"
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docker exec "$W" head -25 /app/apps/api/app/tasks/lipsync_tts.py 2>&1
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echo ""
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echo "=== 12. API lipsync_service.py apply_async 上下文 ==="
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docker exec "$A" grep -n -B3 -A10 "apply_async\|tts_synthesize" /app/apps/api/app/services/lipsync_service.py 2>&1 | head -80
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echo ""
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echo "=== 13. Worker /app 目录结构（app/tasks） ==="
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docker exec "$W" ls -la /app/apps/api/app/tasks/ 2>&1 | head -30
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echo ""
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echo "--- /app/apps/api/app/__init__.py? ---"
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docker exec "$W" ls -la /app/apps/api/app/__init__.py /app/apps/api/app/core/__init__.py /app/apps/api/app/api/__init__.py 2>&1
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echo ""
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echo "--- PYTHONPATH inside worker ---"
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docker exec "$W" env | grep PYTHONPATH
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echo ""
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echo "#########################################################"
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echo "# 诊断完成"
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echo "#########################################################"
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