检查Python版本

openclaw 中文openclaw 2026-04-09 1

很高兴为您提供AI小龙虾OpenClaw的数据库集成教程！以下是详细的安装和配置步骤：

检查Python版本-第1张图片-OpenClaw下载中文-AI中文智能体

系统要求检查

1 环境要求

# 检查PIP版本
pip --version

2 安装OpenClaw核心

# 安装OpenClaw
pip install openclaw-ai
# 或从源码安装
git clone https://github.com/openclaw/ai-openclaw.git
cd ai-openclaw
pip install -r requirements.txt

数据库选择与配置

OpenClaw支持多种数据库,以下是常见选项：

1 PostgreSQL（推荐）

# 安装PostgreSQL适配器
pip install psycopg2-binary
# 或使用异步版本
pip install asyncpg

2 MySQL/MariaDB

# 安装MySQL适配器
pip install mysql-connector-python
# 或
pip install pymysql

3 SQLite（开发环境）

# SQLite通常已内置，无需额外安装

数据库配置

1 配置文件设置

创建 config/database.yaml：

database:
  default: postgresql
  connections:
    postgresql:
      driver: postgresql
      host: localhost
      port: 5432
      database: openclaw_db
      username: openclaw_user
      password: your_password
      pool_size: 20
      timeout: 30
    mysql:
      driver: mysql
      host: localhost
      port: 3306
      database: openclaw_db
      username: openclaw_user
      password: your_password
      charset: utf8mb4
    sqlite:
      driver: sqlite
      database: data/openclaw.db

2 环境变量配置

创建 .env 文件：

# 数据库配置
DB_CONNECTION=postgresql
DB_HOST=localhost
DB_PORT=5432
DB_DATABASE=openclaw_db
DB_USERNAME=openclaw_user
DB_PASSWORD=your_secure_password
# Redis缓存（可选）
REDIS_HOST=localhost
REDIS_PORT=6379
REDIS_PASSWORD=

数据库初始化

1 创建数据库

# 初始化脚本 init_db.py
import psycopg2
from psycopg2.extensions import ISOLATION_LEVEL_AUTOCOMMIT
def create_database():
    # 连接到默认数据库
    conn = psycopg2.connect(
        host="localhost",
        user="postgres",
        password="postgres_password"
    )
    conn.set_isolation_level(ISOLATION_LEVEL_AUTOCOMMIT)
    cursor = conn.cursor()
    # 创建数据库
    cursor.execute("CREATE DATABASE openclaw_db")
    # 创建用户和授权
    cursor.execute("CREATE USER openclaw_user WITH PASSWORD 'your_password'")
    cursor.execute("GRANT ALL PRIVILEGES ON DATABASE openclaw_db TO openclaw_user")
    cursor.close()
    conn.close()
    print("数据库创建成功！")

2 运行数据迁移

# 创建迁移目录
mkdir -p migrations
# 生成迁移文件
python manage.py makemigrations
# 执行迁移
python manage.py migrate
# 或使用Alembic（如果使用SQLAlchemy）
alembic init migrations
alembic revision --autogenerate -m "Initial migration"
alembic upgrade head

数据模型定义

1 核心数据表

# models/base.py
from sqlalchemy import Column, Integer, String, DateTime, Text, JSON
from sqlalchemy.ext.declarative import declarative_base
from datetime import datetime
Base = declarative_base()
class Conversation(Base):
    """对话记录表"""
    __tablename__ = 'conversations'
    id = Column(Integer, primary_key=True)
    session_id = Column(String(255), index=True)
    user_query = Column(Text)
    ai_response = Column(Text)
    model_used = Column(String(100))
    tokens_used = Column(Integer)
    response_time = Column(Integer)  # 毫秒
    created_at = Column(DateTime, default=datetime.utcnow)
    metadata = Column(JSON)  # 存储额外的元数据
class UserSession(Base):
    """用户会话表"""
    __tablename__ = 'user_sessions'
    id = Column(Integer, primary_key=True)
    session_id = Column(String(255), unique=True, index=True)
    user_id = Column(String(100), index=True)
    ip_address = Column(String(45))
    user_agent = Column(Text)
    created_at = Column(DateTime, default=datetime.utcnow)
    last_activity = Column(DateTime, default=datetime.utcnow)
    session_data = Column(JSON)

数据库连接管理

1 连接池配置

# database/pool.py
import psycopg2
from psycopg2 import pool
from contextlib import contextmanager
class DatabasePool:
    def __init__(self, config):
        self.pool = psycopg2.pool.ThreadedConnectionPool(
            minconn=1,
            maxconn=20,
            host=config['host'],
            port=config['port'],
            database=config['database'],
            user=config['username'],
            password=config['password']
        )
    @contextmanager
    def get_connection(self):
        conn = self.pool.getconn()
        try:
            yield conn
        finally:
            self.pool.putconn(conn)
    def close_all(self):
        self.pool.closeall()

2 异步连接（使用asyncpg）

# database/async_db.py
import asyncpg
import asyncio
class AsyncDatabase:
    def __init__(self, config):
        self.config = config
        self.pool = None
    async def create_pool(self):
        self.pool = await asyncpg.create_pool(
            host=self.config['host'],
            port=self.config['port'],
            user=self.config['username'],
            password=self.config['password'],
            database=self.config['database'],
            min_size=5,
            max_size=20
        )
    async def execute_query(self, query, *args):
        async with self.pool.acquire() as connection:
            return await connection.fetch(query, *args)

数据访问层

1 会话管理

# repositories/conversation_repo.py
from sqlalchemy.orm import Session
from models.base import Conversation
class ConversationRepository:
    def __init__(self, db_session: Session):
        self.db = db_session
    def save_conversation(self, session_id, user_query, ai_response, 
                         model_used, tokens_used, response_time, metadata=None):
        conversation = Conversation(
            session_id=session_id,
            user_query=user_query,
            ai_response=ai_response,
            model_used=model_used,
            tokens_used=tokens_used,
            response_time=response_time,
            metadata=metadata or {}
        )
        self.db.add(conversation)
        self.db.commit()
        return conversation.id
    def get_conversation_history(self, session_id, limit=50):
        return self.db.query(Conversation)\
            .filter(Conversation.session_id == session_id)\
            .order_by(Conversation.created_at.desc())\
            .limit(limit)\
            .all()

性能优化

1 索引优化

-- 为常用查询字段创建索引
CREATE INDEX idx_conversations_session_id ON conversations(session_id);
CREATE INDEX idx_conversations_created_at ON conversations(created_at);
CREATE INDEX idx_sessions_user_id ON user_sessions(user_id);
-- 组合索引
CREATE INDEX idx_conversations_session_created 
ON conversations(session_id, created_at DESC);

2 分区表（大数据量）

-- 按时间分区
CREATE TABLE conversations_2024_01 PARTITION OF conversations
FOR VALUES FROM ('2024-01-01') TO ('2024-02-01');

备份与恢复

1 自动备份脚本

#!/bin/bash
# backup_db.sh
BACKUP_DIR="/backup/openclaw"
DATE=$(date +%Y%m%d_%H%M%S)
BACKUP_FILE="$BACKUP_DIR/openclaw_backup_$DATE.sql"
# PostgreSQL备份
pg_dump -U openclaw_user -h localhost openclaw_db > $BACKUP_FILE
# 压缩备份
gzip $BACKUP_FILE
# 保留最近30天备份
find $BACKUP_DIR -name "*.sql.gz" -mtime +30 -delete

2 恢复数据库

# 从备份恢复
gunzip < backup_file.sql.gz | psql -U openclaw_user -h localhost openclaw_db

监控与维护

1 监控查询

-- 查看表大小
SELECT schemaname, tablename, pg_size_pretty(pg_total_relation_size(schemaname||'.'||tablename)) 
FROM pg_tables 
WHERE schemaname = 'public'
ORDER BY pg_total_relation_size(schemaname||'.'||tablename) DESC;
-- 查看活跃连接
SELECT count(*) as connections, state 
FROM pg_stat_activity 
WHERE datname = 'openclaw_db'
GROUP BY state;

2 定期维护

-- 清理旧数据（保留90天）
DELETE FROM conversations WHERE created_at < NOW() - INTERVAL '90 days';
-- 重建索引
REINDEX TABLE conversations;

常见问题解决

Q1: 连接池耗尽

# 增加连接池大小
pool = psycopg2.pool.ThreadedConnectionPool(
    minconn=5,
    maxconn=50,  # 增加最大连接数
    ...
)

Q2: 字符编码问题

# 在连接字符串中指定编码
conn = psycopg2.connect(
    ...
    client_encoding='UTF8'
)

Q3: 性能慢查询

# 启用慢查询日志
# 在postgresql.conf中添加：
log_min_duration_statement = 1000  # 记录执行超过1秒的查询

安全建议

使用环境变量存储数据库密码
启用SSL连接（生产环境）
定期更新数据库用户密码
限制访问IP，只允许应用服务器访问
启用审计日志记录敏感操作

这个教程涵盖了OpenClaw数据库集成的主要方面，根据您的具体需求，可能需要对某些部分进行调整，如果您遇到具体问题或有特殊需求,请提供更多详细信息！

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