Files
AIclinicalresearch/extraction_service/test_execute_simple.py
HaHafeng 06028c6952 feat(pkb): implement complete batch processing workflow and frontend optimization
- Frontend V3 architecture migration to modules/pkb
- Implement three work modes: full-text reading, deep reading, batch processing
- Complete batch processing: template selection, progress display, result export (CSV)
- Integrate Ant Design X Chat component with streaming support
- Add document upload modal with drag-and-drop support
- Optimize UI: multi-line table display, citation formatting, auto-scroll
- Fix 10+ technical issues: API mapping, state sync, form clearing
- Update documentation: development records and module status

Performance: 3 docs batch processing ~17-28s
Status: PKB module now production-ready (90% complete)
2026-01-07 18:23:43 +08:00

91 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)}")