HaHafeng
fa72beea6c
Major Changes: - Implement Platform-Only architecture pattern (unified task management) - Add PostgresCacheAdapter for unified caching (platform_schema.app_cache) - Add PgBossQueue for job queue management (platform_schema.job) - Implement CheckpointService using job.data (generic for all modules) - Add intelligent threshold-based dual-mode processing (THRESHOLD=50) - Add task splitting mechanism (auto chunk size recommendation) - Refactor ASL screening service with smart mode selection - Refactor DC extraction service with smart mode selection - Register workers for ASL and DC modules Technical Highlights: - All task management data stored in platform_schema.job.data (JSONB) - Business tables remain clean (no task management fields) - CheckpointService is generic (shared by all modules) - Zero code duplication (DRY principle) - Follows 3-layer architecture principle - Zero additional cost (no Redis needed, save 8400 CNY/year) Code Statistics: - New code: ~1750 lines - Modified code: ~500 lines - Test code: ~1800 lines - Documentation: ~3000 lines Testing: - Unit tests: 8/8 passed - Integration tests: 2/2 passed - Architecture validation: passed - Linter errors: 0 Files: - Platform layer: PostgresCacheAdapter, PgBossQueue, CheckpointService, utils - ASL module: screeningService, screeningWorker - DC module: ExtractionController, extractionWorker - Tests: 11 test files - Docs: Updated 4 key documents Status: Phase 1-7 completed, Phase 8-9 pending
59 lines
1.3 KiB
Python
59 lines
1.3 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": "男"},
|
|
{"patient_id": "P002", "age": 65, "gender": "女"},
|
|
{"patient_id": "P003", "age": 45, "gender": "男"},
|
|
]
|
|
|
|
# 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', []))} 行")
|
|
print(f"执行时间: {result.get('execution_time', 0):.3f}秒")
|
|
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)}")
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|