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>
116 lines
4.4 KiB
Python
116 lines
4.4 KiB
Python
"""Tests for Requirement Service.
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This module tests the RequirementService class for requirement analysis.
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"""
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import pytest
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from unittest.mock import MagicMock, AsyncMock, patch
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from app.services.requirement_service import RequirementService
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@pytest.mark.asyncio
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async def test_analyze_requirement():
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"""Test requirement analysis with mocked dependencies."""
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# Create service with mocked engines
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with patch('app.services.requirement_service.ClaudeEngine') as MockClaudeEngine, \
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patch('app.services.requirement_service.RAGEngine') as MockRAGEngine, \
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patch('app.services.requirement_service.DatabaseEngine') as MockDBEngine:
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# Setup mocks
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mock_ai_engine = MagicMock()
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mock_ai_engine.call_claude = AsyncMock(return_value='{"功能名称": "销售订单管理", "功能类型": "列表页面"}')
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mock_ai_engine.parse_json_response = MagicMock(return_value={
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"功能名称": "销售订单管理",
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"功能类型": "列表页面"
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})
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MockClaudeEngine.return_value = mock_ai_engine
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mock_rag_engine = MagicMock()
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mock_rag_engine.search = MagicMock(return_value=[
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{"content": "Sample knowledge", "metadata": {"source": "docs"}}
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])
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MockRAGEngine.return_value = mock_rag_engine
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mock_db_engine = MagicMock()
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mock_db_engine.execute_sql = MagicMock(return_value=[("SYS_FORM",), ("SYS_MENU",)])
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MockDBEngine.return_value = mock_db_engine
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# Create service and test
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service = RequirementService()
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result = await service.analyze(
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user_input="创建一个销售订单管理页面",
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session_id="test-session"
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)
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assert result is not None
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assert "功能名称" in result
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assert result["功能名称"] == "销售订单管理"
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@pytest.mark.asyncio
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async def test_analyze_requirement_without_session_id():
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"""Test that session_id is auto-generated if not provided."""
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with patch('app.services.requirement_service.ClaudeEngine') as MockClaudeEngine, \
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patch('app.services.requirement_service.RAGEngine') as MockRAGEngine, \
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patch('app.services.requirement_service.DatabaseEngine') as MockDBEngine:
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# Setup mocks
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mock_ai_engine = MagicMock()
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mock_ai_engine.call_claude = AsyncMock(return_value='{"功能名称": "测试功能"}')
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mock_ai_engine.parse_json_response = MagicMock(return_value={"功能名称": "测试功能"})
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MockClaudeEngine.return_value = mock_ai_engine
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mock_rag_engine = MagicMock()
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mock_rag_engine.search = MagicMock(return_value=[])
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MockRAGEngine.return_value = mock_rag_engine
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mock_db_engine = MagicMock()
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mock_db_engine.execute_sql = MagicMock(return_value=[])
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MockDBEngine.return_value = mock_db_engine
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# Test without session_id
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service = RequirementService()
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result = await service.analyze(user_input="测试输入")
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assert result is not None
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assert "功能名称" in result
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@pytest.mark.asyncio
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async def test_get_existing_tables_success():
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"""Test successful retrieval of existing tables."""
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with patch('app.services.requirement_service.ClaudeEngine'), \
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patch('app.services.requirement_service.RAGEngine'), \
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patch('app.services.requirement_service.DatabaseEngine') as MockDBEngine:
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mock_db_engine = MagicMock()
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mock_db_engine.execute_sql = MagicMock(return_value=[
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("SYS_FORM",),
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("SYS_MENU",),
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("SYS_USER",)
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])
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MockDBEngine.return_value = mock_db_engine
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service = RequirementService()
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tables = service._get_existing_tables("测试")
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assert "SYS_FORM" in tables
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assert "SYS_MENU" in tables
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assert "SYS_USER" in tables
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@pytest.mark.asyncio
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async def test_get_existing_tables_failure():
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"""Test handling of database query failure."""
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with patch('app.services.requirement_service.ClaudeEngine'), \
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patch('app.services.requirement_service.RAGEngine'), \
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patch('app.services.requirement_service.DatabaseEngine') as MockDBEngine:
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mock_db_engine = MagicMock()
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mock_db_engine.execute_sql = MagicMock(side_effect=Exception("DB Error"))
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MockDBEngine.return_value = mock_db_engine
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service = RequirementService()
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tables = service._get_existing_tables("测试")
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assert "无法获取现有表信息" in tables |