dazhuang
acd73431ae
Backend (FastAPI + SQLAlchemy + Claude API + RAG): - Config management with Pydantic v2 - Database engine with connection pooling and SQL injection prevention - AI engine with Claude API integration (support custom base URL) - RAG engine with ChromaDB and sentence-transformers - Requirement analysis service - Config generation service - Executor engine with SQL validation - REST API endpoints: /analyze, /generate, /execute Frontend (Vue 3 + Element Plus + Pinia): - Complete 3-step workflow: analyze → generate → execute - Step indicator with progress visualization - Analysis result display with field table - SQL preview with monospace font - Execute confirmation dialog with safety warning - Execution result display - State management with Pinia - API service integration Security: - SQL injection prevention with parameterized queries - Dangerous SQL operation blocking - Database password URL encoding - Transaction auto-rollback - Pydantic config validation Features: - Natural language requirement analysis - Automated SQL configuration generation - Safe execution with human review - LAN access support - Custom Claude API endpoint support Documentation: - README with quick start guide - Quick start guide - LAN access configuration - Dependency fixes guide - Claude API configuration - Git operation guide - Implementation report Dependencies fixed: - numpy<2.0.0 for chromadb compatibility - sentence-transformers==2.7.0 for huggingface_hub compatibility Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
79 lines
2.5 KiB
Python
79 lines
2.5 KiB
Python
from typing import Optional
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from sqlalchemy import create_engine, text
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from sqlalchemy.orm import sessionmaker
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from contextlib import contextmanager
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from loguru import logger
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from app.config import get_settings
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class DatabaseEngine:
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"""数据库操作引擎"""
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def __init__(self):
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settings = get_settings()
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self.engine = create_engine(
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settings.DATABASE_URL,
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pool_size=20,
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max_overflow=10,
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pool_pre_ping=True,
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echo=settings.DEBUG
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)
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self.Session = sessionmaker(bind=self.engine)
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@contextmanager
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def get_session(self):
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"""获取数据库会话（上下文管理器）"""
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session = self.Session()
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try:
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yield session
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session.commit()
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except Exception as e:
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session.rollback()
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logger.error(f"数据库操作失败：{e}")
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raise
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finally:
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session.close()
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def execute_sql(self, sql: str, params: Optional[dict] = None) -> list:
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"""执行单条 SQL"""
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with self.get_session() as session:
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result = session.execute(text(sql), params or {})
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return result.fetchall()
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def execute_transaction(self, sql_list: list, params_list: Optional[list] = None) -> bool:
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"""执行事务（多条 SQL）"""
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params_list = params_list or [None] * len(sql_list)
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with self.get_session() as session:
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for sql, params in zip(sql_list, params_list):
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session.execute(text(sql), params or {})
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return True
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def get_table_structure(self, table_name: str):
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"""获取表结构（安全参数化查询）"""
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sql = """
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SELECT
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COLUMN_NAME,
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DATA_TYPE,
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CHARACTER_MAXIMUM_LENGTH,
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IS_NULLABLE,
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COLUMN_DEFAULT
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FROM INFORMATION_SCHEMA.COLUMNS
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WHERE TABLE_NAME = :table_name
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ORDER BY ORDINAL_POSITION
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"""
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return self.execute_sql(sql, {"table_name": table_name})
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def table_exists(self, table_name: str) -> bool:
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"""检查表是否存在（安全参数化查询）"""
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sql = """
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SELECT COUNT(*)
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FROM INFORMATION_SCHEMA.TABLES
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WHERE TABLE_NAME = :table_name
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"""
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result = self.execute_sql(sql, {"table_name": table_name})
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return result[0][0] > 0
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def dispose(self):
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"""关闭连接池，释放资源"""
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self.engine.dispose()
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