6d70520e79
- 新增后端模块:Alert、APIAsset、Compliance、Lineage、Masking、Risk、SchemaChange、Unstructured、Watermark - 新增前端模块页面与API接口 - 新增Alembic迁移脚本(002-014)覆盖全量业务表 - 新增测试数据生成脚本与集成测试脚本 - 修复metadata模型JSON类型导入缺失导致启动失败的问题 - 修复前端Alert/APIAsset页面request模块路径错误 - 更新docker-compose与开发计划文档
27 lines
934 B
Python
27 lines
934 B
Python
from app.tasks.worker import celery_app
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@celery_app.task(bind=True)
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def train_ml_model_task(self, model_name: str = None, algorithm: str = "logistic_regression"):
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from app.core.database import SessionLocal
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from app.services.ml_service import train_model
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db = SessionLocal()
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try:
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self.update_state(state="PROGRESS", meta={"message": "Fetching training data"})
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mv = train_model(db, model_name=model_name, algorithm=algorithm)
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if mv:
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return {
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"status": "completed",
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"model_id": mv.id,
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"name": mv.name,
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"accuracy": mv.accuracy,
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"train_samples": mv.train_samples,
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}
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else:
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return {"status": "failed", "reason": "Not enough training data (need >= 20 samples)"}
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except Exception as e:
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return {"status": "failed", "reason": str(e)}
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finally:
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db.close()
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