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quick_start.py
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#!/usr/bin/env python3
"""
快速启动脚本
自动完成数据库初始化、RAG知识库初始化,并启动服务
"""
# 使用pysqlite3替代系统sqlite3以支持ChromaDB
import pysqlite3 as sqlite3
import sys
sys.modules['sqlite3'] = sqlite3
import os
import subprocess
import time
from pathlib import Path
# 获取项目根目录
project_root = os.path.dirname(os.path.abspath(__file__))
sys.path.insert(0, project_root)
from config import Config
def print_header(title):
"""打印标题"""
print("\n" + "=" * 70)
print(f" {title}")
print("=" * 70 + "\n")
def check_dependencies():
"""检查依赖"""
print_header("检查依赖")
missing = []
required_packages = [
"fastapi", "uvicorn", "sqlalchemy", "alembic",
"langchain", "chromadb", "openai"
]
for package in required_packages:
try:
__import__(package)
print(f"✓ {package}")
except ImportError:
print(f"✗ {package} - 缺失")
missing.append(package)
if missing:
print(f"\n⚠️ 缺少依赖: {', '.join(missing)}")
print("💡 运行: pip install -r requirements.txt")
response = input("是否现在安装依赖? (y/n): ")
if response.lower() == 'y':
subprocess.run(["pip", "install", "-r", "requirements.txt"])
else:
print("⚠️ 继续启动,但可能遇到错误")
return len(missing) == 0
def init_database():
"""初始化数据库"""
print_header("初始化数据库")
try:
print("→ 检查数据库连接...")
result = subprocess.run(
["python", "db_manager.py", "check"],
cwd=project_root,
stdout=subprocess.PIPE,
stderr=subprocess.PIPE
)
if result.returncode != 0:
print("⚠️ 数据库连接失败,请检查配置")
print("💡 确保MySQL服务运行,并检查config.env配置")
return False
print("→ 升级数据库到最新版本...")
result = subprocess.run(
["python", "db_manager.py", "upgrade"],
cwd=project_root
)
if result.returncode == 0:
print("✓ 数据库初始化完成")
return True
else:
print("⚠️ 数据库初始化失败,但继续启动")
return False
except Exception as e:
print(f"⚠️ 数据库初始化出错: {e}")
return False
def init_rag_knowledge():
"""初始化RAG知识库"""
print_header("初始化RAG知识库")
try:
print("→ 检查知识库状态...")
# 导入RAG模块
from backend.modules.rag.core.knowledge_base import KnowledgeBaseManager, PsychologyKnowledgeLoader
kb_manager = KnowledgeBaseManager()
stats = kb_manager.get_stats()
if stats.get('status') == '就绪' and stats.get('document_count', 0) > 0:
print("✓ 知识库已存在,跳过初始化")
print(f" 文档数量: {stats.get('document_count', 0)}")
return True
print("→ 加载心理健康知识...")
print(" 这可能需要几分钟,请耐心等待...")
loader = PsychologyKnowledgeLoader(kb_manager)
loader.load_sample_knowledge()
# 尝试从知识库结构加载
try:
loader.load_from_knowledge_base_structure()
print("✓ 知识库结构加载成功")
except Exception as e:
print(f"⚠️ 知识库结构加载失败: {e}")
print("继续使用内置示例知识")
# 验证
final_stats = kb_manager.get_stats()
print(f"✓ RAG知识库初始化完成")
print(f" 文档数量: {final_stats.get('document_count', 0)}")
print(f" 存储位置: {final_stats.get('persist_directory')}")
return True
except Exception as e:
print(f"⚠️ RAG知识库初始化失败: {e}")
print("服务将启动,但RAG功能可能不可用")
return False
def start_backend():
"""启动后端服务"""
print_header("启动后端服务")
print(f"📍 服务地址: http://{Config.HOST}:{Config.PORT}")
print("🔗 API文档: http://localhost:{}/docs".format(Config.PORT))
print("\n💡 提示: 按 Ctrl+C 停止服务")
print("=" * 70 + "\n")
# 设置环境变量
os.environ['PROJECT_ROOT'] = project_root
os.environ['LANGCHAIN_TRACING_V2'] = 'false'
os.environ['LANGCHAIN_ENDPOINT'] = ''
# 导入并启动
import uvicorn
uvicorn.run(
"backend.app:app",
host=Config.HOST,
port=Config.PORT,
reload=False,
log_level="info"
)
def main():
"""主函数"""
print_header("心语情感陪伴机器人 - 快速启动")
print("本脚本将自动完成以下步骤:")
print(" 1. 检查依赖")
print(" 2. 初始化数据库")
print(" 3. 初始化RAG知识库")
print(" 4. 启动后端服务")
print()
# 询问是否跳过某些步骤
skip_db = input("是否跳过数据库初始化? (y/n, 默认n): ").lower() == 'y'
skip_rag = input("是否跳过RAG知识库初始化? (y/n, 默认n): ").lower() == 'y'
# 1. 检查依赖
check_dependencies()
time.sleep(1)
# 2. 初始化数据库
if not skip_db:
init_database()
time.sleep(1)
else:
print("\n⏭️ 跳过数据库初始化")
# 3. 初始化RAG知识库
if not skip_rag:
init_rag_knowledge()
time.sleep(1)
else:
print("\n⏭️ 跳过RAG知识库初始化")
# 4. 启动服务
print_header("准备启动服务")
print("✅ 所有初始化步骤完成")
time.sleep(2)
try:
start_backend()
except KeyboardInterrupt:
print("\n\n⚠️ 服务已停止")
except Exception as e:
print(f"\n❌ 启动失败: {e}")
import traceback
traceback.print_exc()
if __name__ == "__main__":
main()