kx_guo
e8c122e542
- 接入数据库驱动的七维风险评分第一阶段逻辑\n- 增加主模型失败后的 DeepSeek 语义、流式和预防建议兜底\n- 将 AI 预防建议改为基于评分、历史异常和标准规则动态生成\n- 增加无历史案例时的标准库兜底校验和通用规则匹配\n- 修复未知供应商识别及测试占位名称过滤\n- 增加后端滚动日志文件配置和 LLM 请求日志\n- 历史会话直接读取已保存结果，避免重新调用模型和重算风险\n- 补充评分、供应商识别和 LLM 协议测试
30 lines
1.1 KiB
Python
30 lines
1.1 KiB
Python
"""Risk prediction endpoints."""
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from typing import Annotated
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from fastapi import APIRouter, Depends
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from app.api.dependencies import DatabaseSession, require_permission
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from app.models.entities import UserAccount
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from app.schemas.common import ApiResponse
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from app.schemas.risk_prediction import ModelInfo, RiskAssessmentRequest, RiskAssessmentResult
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from app.services.risk_prediction import RiskPredictionService
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router = APIRouter(prefix="/risk-predictions", tags=["risk-predictions"])
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@router.get("/model-info", response_model=ApiResponse[ModelInfo])
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async def model_info(
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_: Annotated[UserAccount, Depends(require_permission("risk.assess"))],
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) -> ApiResponse[ModelInfo]:
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return ApiResponse(data=RiskPredictionService.model_info())
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@router.post("/preview", response_model=ApiResponse[RiskAssessmentResult])
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async def preview_risk(
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request: RiskAssessmentRequest,
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session: DatabaseSession,
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_: Annotated[UserAccount, Depends(require_permission("risk.assess", operate=True))],
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) -> ApiResponse[RiskAssessmentResult]:
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return ApiResponse(data=await RiskPredictionService.preview(request, session))
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