Files
AIclinicalresearch/extraction_service/test_module.py
HaHafeng b31255031e feat(iit-manager): Add WeChat Official Account integration for patient notifications
Features:
- PatientWechatCallbackController for URL verification and message handling
- PatientWechatService for template and customer messages
- Support for secure mode (message encryption/decryption)
- Simplified route /wechat/patient/callback for WeChat config
- Event handlers for subscribe/unsubscribe/text messages
- Template message for visit reminders

Technical details:
- Reuse @wecom/crypto for encryption (compatible with Official Account)
- Relaxed Fastify schema validation to prevent early request blocking
- Access token caching (7000s with 5min pre-refresh)
- Comprehensive logging for debugging

Testing: Local URL verification passed, ready for SAE deployment

Status: Code complete, waiting for WeChat platform configuration
2026-01-04 22:53:42 +08:00

65 lines
889 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()