Create run.sh

run.sh

@@ -0,0 +1,277 @@
+#!/bin/bash
+set -eo pipefail
+
+# 导入环境变量
+source /home/pn/.env
+
+# 错误处理函数
+handle_error() {
+    echo "错误发生在第 $1 行"
+    exit 1
+}
+trap 'handle_error $LINENO' ERR
+
+# 超时处理函数
+timeout_handler() {
+    echo "操作超时"
+    exit 1
+}
+
+# 等待服务就绪的通用函数
+wait_for_service() {
+    local service=$1
+    local host=$2
+    local port=$3
+    local timeout=${4:-$WAIT_TIMEOUT}
+    
+    echo "等待 $service 就绪..."
+    local end=$((SECONDS + timeout))
+    
+    while [ $SECONDS -lt $end ]; do
+        if nc -z "$host" "$port" >/dev/null 2>&1; then
+            echo "$service 已就绪"
+            return 0
+        fi
+        echo "尝试连接 $service at $host:$port..."
+        sleep 1
+    done
+    
+    echo "$service 启动超时"
+    exit 1
+}
+
+# 启动 Redis 服务
+start_redis() {
+    echo "Starting Redis server..."
+    redis-server --daemonize yes
+    sleep 1
+    if ! redis-cli ping > /dev/null 2>&1; then
+        echo "Failed to start Redis server"
+        exit 1
+    fi
+    
+    # 设置 Redis 配置
+    redis-cli config set maxmemory 512mb
+    redis-cli config set maxmemory-policy allkeys-lru
+    echo ""
+    echo "Redis server started successfully"
+    echo ""
+}
+
+# 启动 Qdrant 服务
+start_qdrant() {
+    echo "Starting Qdrant server..."
+    
+    # 确保目录存在并有正确的权限
+    mkdir -p /home/pn/.n8n/qdrant/storage
+    mkdir -p /home/pn/.n8n/qdrant/config
+    mkdir -p /home/pn/.n8n/qdrant/snapshots
+    mkdir -p /home/pn/.n8n/qdrant/logs
+    
+    # 设置正确的权限
+    chmod -R 755 /home/pn/.n8n/qdrant
+    chown -R pn:pn /home/pn/.n8n/qdrant
+    
+    # 创建 Qdrant 配置文件
+    cat > /home/pn/.n8n/qdrant/config/config.yaml <<EOF
+service:
+  host: 0.0.0.0
+  http_port: 6333
+  grpc_port: 6334
+  enable_cors: true
+  enable_tls: false
+  max_request_size_mb: 64
+  max_workers: 0
+storage:
+  storage_path: /home/pn/.n8n/qdrant/storage
+  snapshots_path: /home/pn/.n8n/qdrant/snapshots
+  on_disk_payload: true
+  
+  performance:
+    max_search_threads: 0
+    max_optimization_threads: 0
+    
+  optimizers:
+    deleted_threshold: 0.2
+    vacuum_min_vector_number: 1000
+    default_segment_number: 0
+    max_segment_size_kb: null
+    indexing_threshold_kb: 20000
+    flush_interval_sec: 5
+    
+  hnsw_index:
+    m: 16
+    ef_construct: 100
+    full_scan_threshold_kb: 10000
+    max_indexing_threads: 0
+    on_disk: false
+logger:
+  on_disk:
+    enabled: true
+    log_file: /home/pn/.n8n/qdrant/logs/qdrant.log
+    log_level: INFO
+telemetry_disabled: true
+EOF
+
+    # 确保配置文件有正确的权限
+    chmod 644 /home/pn/.n8n/qdrant/config/config.yaml
+    
+    # 使用配置文件启动 Qdrant
+    qdrant --config-path /home/pn/.n8n/qdrant/config/config.yaml > /home/pn/.n8n/qdrant/logs/startup.log 2>&1 &
+    
+    # 等待 Qdrant 启动
+    local timeout=30
+    local end=$((SECONDS + timeout))
+    
+    while [ $SECONDS -lt $end ]; do
+        if curl -s http://localhost:6333/health >/dev/null; then
+            echo "Qdrant server started successfully"
+            
+            # 预创建常用集合
+            echo "Creating default collections..."
+            
+            # 创建文本向量集合 (768维，适用于多数文本嵌入模型)
+            curl -X PUT 'http://localhost:6333/collections/text_vectors' \
+                -H 'Content-Type: application/json' \
+                -d '{
+                    "vectors": {
+                        "size": 768,
+                        "distance": "Cosine",
+                        "on_disk": true
+                    },
+                    "optimizers_config": {
+                        "default_segment_number": 2,
+                        "indexing_threshold": 20000,
+                        "memmap_threshold": 10000
+                    },
+                    "hnsw_config": {
+                        "m": 16,
+                        "ef_construct": 100,
+                        "full_scan_threshold": 10000,
+                        "max_indexing_threads": 0,
+                        "on_disk": true
+                    },
+                    "init_from": {
+                        "collection_name": "text_vectors"
+                    }
+                }'
+            
+            # 创建图像向量集合 (512维，适用于多数图像嵌入模型)
+            curl -X PUT 'http://localhost:6333/collections/image_vectors' \
+                -H 'Content-Type: application/json' \
+                -d '{
+                    "vectors": {
+                        "size": 512,
+                        "distance": "Cosine"
+                    },
+                    "optimizers_config": {
+                        "default_segment_number": 2,
+                        "indexing_threshold": 20000
+                    },
+                    "hnsw_config": {
+                        "m": 16,
+                        "ef_construct": 100,
+                        "full_scan_threshold": 10000
+                    }
+                }'
+            
+            # 创建通用向量集合 (1536维，适用于 OpenAI 的嵌入模型)
+            curl -X PUT 'http://localhost:6333/collections/openai_vectors' \
+                -H 'Content-Type: application/json' \
+                -d '{
+                    "vectors": {
+                        "size": 1536,
+                        "distance": "Cosine"
+                    },
+                    "optimizers_config": {
+                        "default_segment_number": 2,
+                        "indexing_threshold": 20000
+                    },
+                    "hnsw_config": {
+                        "m": 16,
+                        "ef_construct": 100,
+                        "full_scan_threshold": 10000
+                    }
+                }'
+                
+            # 验证集合创建状态并输出详细信息
+            echo -e "\nVerifying collections:"
+            curl -s 'http://localhost:6333/collections' | jq '.'
+            
+            # 测试连接
+            echo -e "\nTesting Qdrant connection:"
+            curl -v http://localhost:6333/health
+            
+            return 0
+        fi
+        echo "Waiting for Qdrant to start..."
+        sleep 1
+        
+        # 检查是否有错误日志
+        if grep -i "error" /home/pn/.n8n/qdrant/logs/startup.log >/dev/null 2>&1; then
+            echo "Error found in Qdrant logs:"
+            tail -n 10 /home/pn/.n8n/qdrant/logs/startup.log
+        fi
+    done
+    
+    echo "Failed to start Qdrant server"
+    echo "Last 10 lines of Qdrant log:"
+    tail -n 10 /home/pn/.n8n/qdrant/logs/startup.log
+    exit 1
+}
+
+# 检查服务状态
+check_services() {
+    echo "检查服务状态..."
+    
+    # 检查 Redis
+    echo "Redis 状态："
+    redis-cli info | grep 'used_memory\|connected_clients\|total_connections_received'
+       
+    # 检查 Qdrant
+    echo "Qdrant 状态："
+    if curl -s http://localhost:6333/metrics >/dev/null; then
+        echo "Qdrant 运行正常"
+        curl -s http://localhost:6333/metrics
+        
+        # 显示集合信息
+        echo "Qdrant 集合列表："
+        curl -s http://localhost:6333/collections
+    else
+        echo "Qdrant 服务异常"
+        tail -n 10 /home/pn/.n8n/qdrant/qdrant.log
+    fi
+}
+
+# 主流程
+main() {
+    current_time=$(date +"%Y-%m-%d %H:%M:%S")
+    echo "Starting services at $current_time"
+    
+    # 输出配置信息
+    echo "Database Configuration:"
+    echo "Host: ${DB_POSTGRESDB_HOST}"
+    echo "Port: ${DB_POSTGRESDB_PORT}"
+    echo "User: ${DB_POSTGRESDB_USER}"
+    echo "Database: ${DB_POSTGRESDB_DATABASE}"
+    echo "Type: ${DB_TYPE}"
+    
+    # 启动服务
+    wait_for_service "PostgreSQL" "${DB_POSTGRESDB_HOST}" "${DB_POSTGRESDB_PORT}"
+    echo ""
+    start_redis
+    echo ""
+    start_qdrant
+    echo ""
+    check_services
+    
+    # 设置 N8N 环境变量
+    source /home/pn/n8n/config/n8n_env.sh
+    
+    echo ""
+    echo "Starting n8n..."
+    exec n8n start
+}
+
+# 执行主流程
+main "$@"