Files
AIclinicalresearch/extraction_service/test_execute_simple.py
HaHafeng 5523ef36ea feat(admin): Complete Phase 3.5.1-3.5.4 Prompt Management System (83%)
Summary:
- Implement Prompt management infrastructure and core services
- Build admin portal frontend with light theme
- Integrate CodeMirror 6 editor for non-technical users

Phase 3.5.1: Infrastructure Setup
- Create capability_schema for Prompt storage
- Add prompt_templates and prompt_versions tables
- Add prompt:view/edit/debug/publish permissions
- Migrate RVW prompts to database (RVW_EDITORIAL, RVW_METHODOLOGY)

Phase 3.5.2: PromptService Core
- Implement gray preview logic (DRAFT for debuggers, ACTIVE for users)
- Module-level debug control (setDebugMode)
- Handlebars template rendering
- Variable extraction and validation (extractVariables, validateVariables)
- Three-level disaster recovery (database -> cache -> hardcoded fallback)

Phase 3.5.3: Management API
- 8 RESTful endpoints (/api/admin/prompts/*)
- Permission control (PROMPT_ENGINEER can edit, SUPER_ADMIN can publish)

Phase 3.5.4: Frontend Management UI
- Build admin portal architecture (AdminLayout, OrgLayout)
- Add route system (/admin/*, /org/*)
- Implement PromptListPage (filter, search, debug switch)
- Implement PromptEditor (CodeMirror 6 simplified for clinical users)
- Implement PromptEditorPage (edit, save, publish, test, version history)

Technical Details:
- Backend: 6 files, ~2044 lines (prompt.service.ts 596 lines)
- Frontend: 9 files, ~1735 lines (PromptEditorPage.tsx 399 lines)
- CodeMirror 6: Line numbers, auto-wrap, variable highlight, search, undo/redo
- Chinese-friendly: 15px font, 1.8 line-height, system fonts

Next Step: Phase 3.5.5 - Integrate RVW module with PromptService

Tested: Backend API tests passed (8/8), Frontend pending user testing
Status: Ready for Phase 3.5.5 RVW integration
2026-01-11 21:25:16 +08:00

95 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)}")