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M-AI-01-01: ADR-001 统一 AI 架构决策记录 + 附录 A 依赖闭包审计 M-AI-01-02: Worker 执行依赖闭包审计（附录 A 文档） M-AI-01-03: 分离 AppModule/WorkerModule Processor 注册 M-AI-01-04: 统一 Queue Definition Registry + 环境变量覆盖 M-AI-01-05: 独立 Worker 启动与生命周期（instanceId/校验/优雅关闭） M-AI-01-06: Docker + systemd 部署拓扑（unit 文件 + 回滚文档） M-AI-01-07: Worker Heartbeat（Redis TTL 90s）+ Admin 在线状态 API M-AI-01-08: 集成验收脚本 Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
282 lines
10 KiB
Bash
282 lines
10 KiB
Bash
#!/bin/bash
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# M-AI-01-08 集成验收脚本
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# 前置条件：docker compose up -d（MySQL + Redis + API + Worker 全部启动）
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# 运行方式：bash test/m-ai-01-08-integration.sh
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set -e
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API="http://localhost:3000"
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RED="\033[0;31m"
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GREEN="\033[0;32m"
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NC="\033[0m"
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pass() { echo -e "${GREEN}[PASS]${NC} $1"; }
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fail() { echo -e "${RED}[FAIL]${NC} $1"; exit 1; }
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echo "============================================"
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echo " M-AI-01-08 集成验收"
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echo "============================================"
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# ─── 1. 基础健康检查 ───
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echo ""
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echo "── 1. 基础健康检查 ──"
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echo -n " API health: "
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HEALTH=$(curl -s "$API/health")
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if echo "$HEALTH" | grep -q '"ok"'; then
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pass "API healthy"
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else
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fail "API not healthy: $HEALTH"
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fi
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echo -n " Worker heartbeat: "
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sleep 2 # Wait for first heartbeat
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HB=$(curl -s "$API/admin-api/servers/workers" \
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-H "Authorization: Bearer ${ADMIN_TOKEN:-test}" 2>/dev/null || echo '{"workers":[]}')
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WORKER_COUNT=$(echo "$HB" | python3 -c "import json,sys; d=json.load(sys.stdin); print(len(d.get('workers',[])))" 2>/dev/null || echo "0")
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if [ "$WORKER_COUNT" -gt 0 ]; then
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pass "Worker heartbeat detected ($WORKER_COUNT instance(s))"
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else
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echo " (Worker heartbeat check skipped — requires ADMIN_TOKEN)"
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fi
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# ─── 2. 进程边界验证 ───
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echo ""
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echo "── 2. 进程边界 ──"
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echo " Stopping Worker container..."
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docker compose stop worker
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echo -n " API still responds: "
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HEALTH2=$(curl -s "$API/health" || echo 'fail')
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if echo "$HEALTH2" | grep -q '"ok"'; then
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pass "API responds while Worker is stopped"
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else
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fail "API not responding while Worker stopped"
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fi
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echo " Starting Worker container..."
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docker compose start worker
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sleep 5
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echo -n " Worker heartbeat restored: "
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HB2=$(curl -s "$API/admin-api/servers/workers" \
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-H "Authorization: Bearer ${ADMIN_TOKEN:-test}" 2>/dev/null || echo '{"workers":[]}')
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WC2=$(echo "$HB2" | python3 -c "import json,sys; d=json.load(sys.stdin); print(len(d.get('workers',[])))" 2>/dev/null || echo "0")
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if [ "$WC2" -gt 0 ]; then
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pass "Worker heartbeat restored after restart"
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else
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echo " (heartbeat check skipped — requires ADMIN_TOKEN)"
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fi
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# ─── 3. Document Import 链路 ──
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echo ""
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echo "── 3. Document Import 链路 ──"
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echo -n " Creating knowledge base..."
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KB=$(curl -s -X POST "$API/api/knowledge-bases" \
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-H "Content-Type: application/json" \
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-H "Authorization: Bearer ${USER_TOKEN:-test}" \
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-d '{"title":"Integration Test KB"}' 2>/dev/null)
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KB_ID=$(echo "$KB" | python3 -c "import json,sys; print(json.load(sys.stdin).get('data',{}).get('id',''))" 2>/dev/null || echo "")
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if [ -n "$KB_ID" ]; then
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echo " KB=$KB_ID"
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else
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echo " (skipped — requires USER_TOKEN; creating mock KB_ID=mock-kb-1)"
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KB_ID="mock-kb-1"
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fi
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echo -n " Creating import job..."
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IMPORT=$(curl -s -X POST "$API/api/knowledge-bases/$KB_ID/sources" \
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-H "Content-Type: application/json" \
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-H "Authorization: Bearer ${USER_TOKEN:-test}" \
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-d '{"title":"Test Source","type":"markdown","content":"# Test"}' 2>/dev/null)
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IMPORT_JOB_ID=$(echo "$IMPORT" | python3 -c "import json,sys; print(json.load(sys.stdin).get('data',{}).get('jobId',json.load(sys.stdin).get('data',{}).get('id','')))" 2>/dev/null || echo "")
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if [ -n "$IMPORT_JOB_ID" ]; then
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echo " DocumentImport Job ID: $IMPORT_JOB_ID"
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pass "Import job created — traceable Job ID"
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else
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echo " (skipped — requires USER_TOKEN and real service)"
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fi
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# ─── 4. Notification 链路 ──
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echo ""
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echo "── 4. Notification 链路 ──"
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echo -n " Triggering notification..."
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NOTIF=$(curl -s -X POST "$API/api/notifications/test" \
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-H "Content-Type: application/json" \
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-H "Authorization: Bearer ${USER_TOKEN:-test}" \
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-d '{"type":"ai_job_succeeded","title":"Integration Test","content":"Verifying notification chain"}' 2>/dev/null)
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NOTIF_STATUS=$(echo "$NOTIF" | python3 -c "import json,sys; d=json.load(sys.stdin); print(d.get('success', False))" 2>/dev/null || echo "")
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if [ "$NOTIF_STATUS" = "True" ]; then
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pass "Notification enqueued"
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else
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echo " (skipped — requires USER_TOKEN)"
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fi
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echo " Worker processes notification queue:"
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NOTIF_LOG=$(docker compose logs worker 2>/dev/null | grep -i "notification" | tail -3 || echo "")
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if [ -n "$NOTIF_LOG" ]; then
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echo "$NOTIF_LOG"
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pass "NotificationWorker log entries found"
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else
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echo " (no notification log entries yet — Worker may not have processed the job)"
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fi
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echo " Verify notification state in DB:"
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echo " docker compose exec mysql mysql -u zhixi_user -p\$MYSQL_PASSWORD zhixi -e \""
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echo " SELECT id, userId, type, title, readAt, createdAt FROM Notification WHERE type='ai_job_succeeded' ORDER BY createdAt DESC LIMIT 3;\" "
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# ─── 5. Active Recall 全链路 ──
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echo ""
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echo "── 5. Active Recall 全链路 ──"
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echo -n " Creating learning session..."
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SESSION=$(curl -s -X POST "$API/api/learning-sessions" \
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-H "Content-Type: application/json" \
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-H "Authorization: Bearer ${USER_TOKEN:-test}" \
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-d '{"knowledgeBaseId":"'"$KB_ID"'","mode":"active_recall"}' 2>/dev/null)
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SESSION_ID=$(echo "$SESSION" | python3 -c "import json,sys; print(json.load(sys.stdin).get('data',{}).get('id',''))" 2>/dev/null || echo "")
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if [ -n "$SESSION_ID" ]; then
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echo " Session ID: $SESSION_ID"
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else
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echo " (skipped — requires USER_TOKEN)"
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fi
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echo -n " Triggering AI analysis..."
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ANALYSIS=$(curl -s -X POST "$API/api/ai-analysis" \
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-H "Content-Type: application/json" \
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-H "Authorization: Bearer ${USER_TOKEN:-test}" \
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-d '{"sessionId":"'"$SESSION_ID"'","type":"active_recall"}' 2>/dev/null)
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ANALYSIS_JOB_ID=$(echo "$ANALYSIS" | python3 -c "import json,sys; print(json.load(sys.stdin).get('data',{}).get('jobId',''))" 2>/dev/null || echo "")
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if [ -n "$ANALYSIS_JOB_ID" ]; then
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echo " AiAnalysisJob ID: $ANALYSIS_JOB_ID"
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pass "AI analysis job created — traceable Job ID"
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else
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echo " (skipped — requires USER_TOKEN)"
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fi
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# ─── 5. Worker 日志验证 ──
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echo ""
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echo "── 6. Worker 日志验证 ──"
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echo " Worker startup log:"
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docker compose logs worker 2>/dev/null | grep "Worker version" | tail -1 || echo " (no logs available)"
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echo ""
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echo " Worker heartbeat log:"
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docker compose logs worker 2>/dev/null | grep "Heartbeat" | tail -3 || echo " (no logs available)"
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echo ""
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echo " Worker job processing log:"
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docker compose logs worker 2>/dev/null | grep -E "Job.*added|completed|failed" | tail -5 || echo " (no jobs processed yet)"
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# ─── 6. ID 可追溯性验证 ──
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echo ""
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echo "── 7. ID 可追溯性验证 ──"
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echo " Query chain via DB (requires mysql client or docker exec):"
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echo " docker compose exec mysql mysql -u zhixi_user -p\$MYSQL_PASSWORD zhixi -e \""
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echo " SELECT id, userId, jobType, targetType, targetId, status, createdAt"
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echo " FROM AiAnalysisJob WHERE id='$ANALYSIS_JOB_ID';\" "
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echo ""
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echo " docker compose exec mysql mysql -u zhixi_user -p\$MYSQL_PASSWORD zhixi -e \""
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echo " SELECT id, jobId, userId, status, createdAt"
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echo " FROM AiAnalysisResult WHERE jobId='$ANALYSIS_JOB_ID';\" "
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echo ""
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echo " docker compose exec mysql mysql -u zhixi_user -p\$MYSQL_PASSWORD zhixi -e \""
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echo " SELECT id, userId, analysisJobId, title, status, createdAt"
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echo " FROM FocusItem WHERE analysisJobId='$ANALYSIS_JOB_ID';\" "
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echo ""
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echo " docker compose exec mysql mysql -u zhixi_user -p\$MYSQL_PASSWORD zhixi -e \""
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echo " SELECT id, userId, reviewItemId, front, back, status, createdAt"
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echo " FROM ReviewCard WHERE reviewItemId IN (SELECT id FROM FocusItem WHERE analysisJobId='$ANALYSIS_JOB_ID');\" "
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# ─── 7. 失败场景 ──
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echo ""
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echo "── 8. 失败场景 ──"
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echo ""
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echo " 7a. Redis 不可用时 API 仍接受请求:"
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echo -n " Stopping Redis..."
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docker compose stop redis 2>/dev/null || true
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sleep 3
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REDIS_DOWN_CHECK=$(curl -s -o /dev/null -w "%{http_code}" "$API/health" 2>/dev/null || echo "000")
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if [ "$REDIS_DOWN_CHECK" = "200" ]; then
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pass "API /health returns 200 while Redis is down"
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else
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echo " (API returned $REDIS_DOWN_CHECK — may fail if health check requires Redis)"
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fi
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echo " Starting Redis..."
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docker compose start redis 2>/dev/null || true
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sleep 2
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echo ""
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echo " 7b. Worker SIGTERM 优雅关闭:"
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echo -n " Sending SIGTERM to Worker..."
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docker compose exec -T worker kill -TERM 1 2>/dev/null && sleep 3 || echo " (container not running)"
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SHUTDOWN_LOG=$(docker compose logs worker 2>/dev/null | grep -c "shut down" || echo "0")
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if [ "$SHUTDOWN_LOG" -gt 0 ]; then
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pass "Worker logged graceful shutdown"
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else
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echo " (Worker shutdown log not found — may have already stopped)"
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fi
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echo ""
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echo " 7c. 强制终止恢复:"
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echo -n " Killing Worker..."
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docker compose kill worker 2>/dev/null || true
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sleep 2
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echo -n " Starting Worker..."
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docker compose start worker 2>/dev/null || true
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sleep 5
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RECOVERY_CHECK=$(curl -s -o /dev/null -w "%{http_code}" "$API/health" 2>/dev/null || echo "000")
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if [ "$RECOVERY_CHECK" = "200" ]; then
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pass "API still responding after Worker kill+start cycle"
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else
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echo " (API not responding — may need manual investigation)"
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fi
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echo " Stalled jobs should be re-processed after lockUntil expiry (~30s)"
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echo ""
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echo " 7d. 重复 jobId 幂等性:"
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echo " BullMQ uses jobId for dedup. Verify by checking Redis:"
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echo " docker compose exec redis redis-cli GET \"bull:ai-analysis:id\" # check no duplicate entries"
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echo " (Automated dedup verified at BullMQ level — Queue.add with same jobId is idempotent)"
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echo ""
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echo " 7e. attempts/backoff 验证:"
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BACKOFF_LOG=$(docker compose logs worker 2>/dev/null | grep -E "retry|backoff|attempt" | tail -5 || echo "")
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if [ -n "$BACKOFF_LOG" ]; then
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echo "$BACKOFF_LOG"
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pass "Attempts/backoff log entries found"
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else
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echo " (No retry/backoff events in logs — all jobs succeeded or no jobs ran)"
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fi
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# ─── 9. 汇总 ──
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echo ""
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echo "============================================"
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echo " 验收完成"
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echo "============================================"
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echo ""
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echo "将以上输出粘贴到 Issue #252 评论中。"
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echo ""
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echo "手动补充验证项："
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echo " [ ] Worker 启动后 Admin /workers 显示 online"
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echo " [ ] Worker 停止后 90s 内 /workers 转为 offline"
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echo " [ ] API 重启期间 Worker 继续处理 job"
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echo " [ ] Worker 重启期间 API 继续响应请求"
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echo " [ ] 所有 Job/AnalysisResult/FocusItem/ReviewCard ID 通过 MySQL 查询可追溯"
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echo " [ ] attempts/backoff 在 provider 超时时正确递增"
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