HaHafeng
98d862dbd4
AIA V2.0 Major Updates: - Add StreamingService with OpenAI Compatible format (backend/common/streaming) - Upgrade Chat component V2 with Ant Design X deep integration - Implement 12 intelligent agents (5 phases: topic/design/review/data/writing) - Create AgentHub with 100% prototype V11 restoration - Create ChatWorkspace with fullscreen immersive experience - Add ThinkingBlock for deep thinking display - Add useAIStream Hook for stream handling - Add ConversationList for conversation management Backend (~1300 lines): - common/streaming: OpenAI adapter and streaming service - modules/aia: 12 agents config, conversation service, attachment service - Unified API routes to /api/v1 (RVW, PKB, AIA modules) - Update authentication and permission helpers Frontend (~3500 lines): - modules/aia: AgentHub + ChatWorkspace + AgentCard components - shared/Chat: AIStreamChat, ThinkingBlock, useAIStream, useConversations - Update all modules API endpoints to v1 - Modern design with theme colors (blue/yellow/teal/purple) Documentation (~2500 lines): - AIA module status and development guide - Universal capabilities catalog (11 services) - Quick reference card - System overview updates - All module documentation synchronization Other Updates: - DC Tool C: Python operations and frontend components - IIT Manager: session memory and wechat service - PKB/RVW/ASL: API route updates - Docker configs and deployment scripts - Database migrations and scripts - Test files and documentation Tested: AIA streaming verified, authentication working, core features functional Status: AIA V2.0 completed (85%), all changes synchronized
81 lines
905 B
Python
81 lines
905 B
Python
"""测试dc_executor模块"""
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print("测试dc_executor模块导入...")
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try:
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from services.dc_executor import validate_code, execute_pandas_code
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print("✅ 模块导入成功")
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# 测试验证功能
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print("\n测试validate_code...")
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result = validate_code("df['x'] = 1")
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print(f"✅ validate_code成功: {result}")
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# 测试执行功能
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print("\n测试execute_pandas_code...")
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test_data = [{"age": 25}, {"age": 65}]
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result = execute_pandas_code(test_data, "df['old'] = df['age'] > 60")
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print(f"✅ execute_pandas_code成功: success={result['success']}")
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if result['success']:
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print(f" 结果: {result['result_data']}")
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print("\n🎉 所有模块测试通过！")
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except Exception as e:
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print(f"❌ 测试失败: {e}")
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import traceback
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traceback.print_exc()
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