Files
AIclinicalresearch/extraction_service/test_execute_simple.py
HaHafeng dfc472810b feat(iit-manager): Integrate Dify knowledge base for hybrid retrieval
Completed features:
- Created Dify dataset (Dify_test0102) with 2 processed documents
- Linked test0102 project with Dify dataset ID
- Extended intent detection to recognize query_protocol intent
- Implemented queryDifyKnowledge method (semantic search Top 5)
- Integrated hybrid retrieval (REDCap data + Dify documents)
- Fixed AI hallucination bugs (intent detection + API field path)
- Developed debugging scripts
- Completed end-to-end testing (5 scenarios passed)
- Generated comprehensive documentation (600+ lines)
- Updated development plans and module status

Technical highlights:
- Single project single knowledge base architecture
- Smart routing based on user intent
- Prevent AI hallucination by injecting real data/documents
- Session memory for multi-turn conversations
- Reused LLMFactory for DeepSeek-V3 integration

Bug fixes:
- Fixed intent detection missing keywords
- Fixed Dify API response field path error

Testing: All scenarios verified in WeChat production environment

Status: Fully tested and deployed
2026-01-04 15:44:11 +08:00

84 lines
1.4 KiB
Python

"""简单的代码执行测试"""
import requests
import json
# 测试数据
test_data = [
{"patient_id": "P001", "age": 25, "gender": ""},
{"patient_id": "P002", "age": 65, "gender": ""},
{"patient_id": "P003", "age": 45, "gender": ""},
]
# 测试代码
test_code = """
df['age_group'] = df['age'].apply(lambda x: '老年' if x > 60 else '非老年')
print(f"处理完成,共 {len(df)} 行")
"""
print("=" * 60)
print("测试: Pandas代码执行")
print("=" * 60)
try:
response = requests.post(
"http://localhost:8000/api/dc/execute",
json={"data": test_data, "code": test_code},
timeout=10
)
print(f"\n状态码: {response.status_code}")
result = response.json()
print(json.dumps(result, indent=2, ensure_ascii=False))
if result.get("success"):
print("\n✅ 代码执行成功!")
print(f"结果数据: {len(result.get('result_data', []))}")
print(f"执行时间: {result.get('execution_time', 0):.3f}")
print(f"\n打印输出:\n{result.get('output', '')}")
print(f"\n结果数据示例:")
for row in result.get('result_data', [])[:3]:
print(f" {row}")
else:
print(f"\n❌ 代码执行失败: {result.get('error')}")
except Exception as e:
print(f"\n❌ 测试异常: {str(e)}")