Files
AIclinicalresearch/extraction_service/test_module.py
HaHafeng 2481b786d8 deploy: Complete 0126-27 deployment - database upgrade, services update, code recovery
Major Changes:
- Database: Install pg_bigm/pgvector plugins, create test database
- Python service: v1.0 -> v1.1, add pymupdf4llm/openpyxl/pypandoc
- Node.js backend: v1.3 -> v1.7, fix pino-pretty and ES Module imports
- Frontend: v1.2 -> v1.3, skip TypeScript check for deployment
- Code recovery: Restore empty files from local backup

Technical Fixes:
- Fix pino-pretty error in production (conditional loading)
- Fix ES Module import paths (add .js extensions)
- Fix OSSAdapter TypeScript errors
- Update Prisma Schema (63 models, 16 schemas)
- Update environment variables (DATABASE_URL, EXTRACTION_SERVICE_URL, OSS)
- Remove deprecated variables (REDIS_URL, DIFY_API_URL, DIFY_API_KEY)

Documentation:
- Create 0126 deployment folder with 8 documents
- Update database development standards v2.0
- Update SAE deployment status records

Deployment Status:
- PostgreSQL: ai_clinical_research_test with plugins
- Python: v1.1 @ 172.17.173.84:8000
- Backend: v1.7 @ 172.17.173.89:3001
- Frontend: v1.3 @ 172.17.173.90:80

Tested: All services running successfully on SAE
2026-01-27 08:13:27 +08:00

101 lines
925 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()