Files
AIclinicalresearch/extraction_service/test_module.py
HaHafeng ef967d7d7c build(backend): Complete Node.js backend deployment preparation
Major changes:
- Add Docker configuration (Dockerfile, .dockerignore)
- Fix 200+ TypeScript compilation errors
- Add Prisma schema relations for all models (30+ relations)
- Update tsconfig.json to relax non-critical checks
- Optimize Docker build with local dist strategy

Technical details:
- Exclude test files from TypeScript compilation
- Add manual relations for ASL, PKB, DC, AIA modules
- Use type assertions for JSON/Buffer compatibility
- Fix pg-boss, extractionWorker, and other legacy code issues

Build result:
- Docker image: 838MB (compressed ~186MB)
- Successfully pushed to ACR
- Zero TypeScript compilation errors

Related docs:
- Update deployment documentation
- Add Python microservice SAE deployment guide
2025-12-24 22:12:00 +08:00

51 lines
875 B
Python

"""测试dc_executor模块"""
print("测试dc_executor模块导入...")
try:
from services.dc_executor import validate_code, execute_pandas_code
print("✅ 模块导入成功")
# 测试验证功能
print("\n测试validate_code...")
result = validate_code("df['x'] = 1")
print(f"✅ validate_code成功: {result}")
# 测试执行功能
print("\n测试execute_pandas_code...")
test_data = [{"age": 25}, {"age": 65}]
result = execute_pandas_code(test_data, "df['old'] = df['age'] > 60")
print(f"✅ execute_pandas_code成功: success={result['success']}")
if result['success']:
print(f" 结果: {result['result_data']}")
print("\n🎉 所有模块测试通过!")
except Exception as e:
print(f"❌ 测试失败: {e}")
import traceback
traceback.print_exc()