wangyu
193da0018f
- 从物料跟踪页面移除订单号列和表单字段 - 从导航菜单移除PDI管理，添加设备巡检 - 新增InspectionLocation和InspectionRecord后端模型和API - 新增设备巡检前端页面（左侧点位列表，右侧设备和历史记录）
295 lines
12 KiB
Python
295 lines
12 KiB
Python
from fastapi import APIRouter, Depends, HTTPException
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from pydantic import BaseModel, Field
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from typing import List, Optional
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from datetime import datetime
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from app.schemas.common import Response
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from app.services.auth_service import get_current_user
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from app.services.prediction import (
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AcidSpeedModel,
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TensionModel,
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QualityPredictionModel,
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AcidConsumptionModel,
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_load_cal,
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_save_cal,
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)
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router = APIRouter()
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# ─────────────────────────────────────────────────────────────────────────────
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# Prediction request schemas
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# ─────────────────────────────────────────────────────────────────────────────
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class AcidSpeedRequest(BaseModel):
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thickness: float = Field(..., gt=0)
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width: float = Field(..., gt=0)
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steel_grade: str
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acid_conc_list: List[float]
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acid_temp_list: List[float]
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scale_weight: Optional[float] = 8.5
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target_pi: Optional[float] = 95.0
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class TensionRequest(BaseModel):
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thickness: float = Field(..., gt=0)
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width: float = Field(..., gt=0)
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yield_strength: float = Field(..., gt=0)
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tension_coef: Optional[float] = 0.25
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class QualityRequest(BaseModel):
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thickness: float = Field(..., gt=0)
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avg_speed: float = Field(..., gt=0)
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acid_conc_avg: float = Field(..., gt=0)
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acid_temp_avg: float = Field(..., gt=0)
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scale_weight: Optional[float] = 8.5
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class ConsumptionRequest(BaseModel):
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thickness: float = Field(..., gt=0)
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width: float = Field(..., gt=0)
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coil_weight_kg: float = Field(..., gt=0)
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has_regen_station: Optional[bool] = True
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# ─────────────────────────────────────────────────────────────────────────────
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# Calibration request schemas
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# ─────────────────────────────────────────────────────────────────────────────
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class AcidCalibRequest(BaseModel):
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# 需要重建模型实例的上下文参数
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thickness: float = Field(..., gt=0)
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width: float = Field(..., gt=0)
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steel_grade: str
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acid_conc_list: List[float]
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acid_temp_list: List[float]
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scale_weight: Optional[float] = 8.5
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# 校准输入
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actual_max_speed: float = Field(..., gt=0, description="实测质量合格时的最高速度 m/min")
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actual_quality_ok: bool = Field(..., description="该速度下质量是否合格")
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note: Optional[str] = None
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class TensionCalibRequest(BaseModel):
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thickness: float = Field(..., gt=0)
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width: float = Field(..., gt=0)
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yield_strength: float = Field(..., gt=0)
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tension_coef: Optional[float] = 0.25
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zone: str = Field(..., description="测量位置，如 s1_roller")
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measured_kn: float = Field(..., gt=0, description="实测张力 kN")
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note: Optional[str] = None
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class QualityCalibRequest(BaseModel):
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thickness: float = Field(..., gt=0)
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avg_speed: float = Field(..., gt=0)
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acid_conc_avg: float = Field(..., gt=0)
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acid_temp_avg: float = Field(..., gt=0)
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scale_weight: Optional[float] = 8.5
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actual_grade: str = Field(..., description="实际质检等级 A1/A2/B1/B2/C")
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note: Optional[str] = None
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# ─────────────────────────────────────────────────────────────────────────────
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# Helper: append calibration history
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# ─────────────────────────────────────────────────────────────────────────────
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def _append_history(model_key: str, k_before: float, k_after: float,
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input_data: dict, note: str = ""):
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cal = _load_cal()
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history = cal.get("history", [])
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history.insert(0, {
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"ts": datetime.now().isoformat(timespec="seconds"),
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"model": model_key,
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"k_before": k_before,
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"k_after": k_after,
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"input": input_data,
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"note": note or "",
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})
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cal["history"] = history[:100]
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_save_cal(cal)
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# ─────────────────────────────────────────────────────────────────────────────
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# Prediction endpoints
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# ─────────────────────────────────────────────────────────────────────────────
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@router.post("/acid-speed", response_model=Response[dict])
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async def predict_acid_speed(body: AcidSpeedRequest, _=Depends(get_current_user)):
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try:
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model = AcidSpeedModel(
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thickness=body.thickness, width=body.width,
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steel_grade=body.steel_grade,
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acid_conc_list=body.acid_conc_list,
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acid_temp_list=body.acid_temp_list,
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scale_weight=body.scale_weight, target_pi=body.target_pi,
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)
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result = model.calculate()
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except ValueError as e:
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raise HTTPException(status_code=422, detail=str(e))
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return Response.ok(result)
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@router.post("/tension", response_model=Response[dict])
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async def predict_tension(body: TensionRequest, _=Depends(get_current_user)):
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model = TensionModel(
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thickness=body.thickness, width=body.width,
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yield_strength=body.yield_strength, tension_coef=body.tension_coef,
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)
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return Response.ok(model.calculate())
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@router.post("/quality", response_model=Response[dict])
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async def predict_quality(body: QualityRequest, _=Depends(get_current_user)):
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model = QualityPredictionModel(
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thickness=body.thickness, avg_speed=body.avg_speed,
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acid_conc_avg=body.acid_conc_avg, acid_temp_avg=body.acid_temp_avg,
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scale_weight=body.scale_weight,
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)
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return Response.ok(model.calculate())
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@router.post("/consumption", response_model=Response[dict])
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async def predict_consumption(body: ConsumptionRequest, _=Depends(get_current_user)):
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model = AcidConsumptionModel(
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thickness=body.thickness, width=body.width,
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coil_weight_kg=body.coil_weight_kg,
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has_regen_station=body.has_regen_station,
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)
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return Response.ok(model.calculate())
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# ─────────────────────────────────────────────────────────────────────────────
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# Calibration endpoints
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# ─────────────────────────────────────────────────────────────────────────────
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TENSION_ZONES = ["inlet","s1_roller","acid_entry","acid1","acid2","acid3","rinse","leveler","s2_roller","outlet"]
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@router.get("/calibration", response_model=Response[dict])
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async def get_calibration(_=Depends(get_current_user)):
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"""返回各模型当前校准系数和历史记录"""
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cal = _load_cal()
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tension_zone_kcal = {
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z: cal.get(f"tension_zone_{z}", 1.0) for z in TENSION_ZONES
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}
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return Response.ok({
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"acid_speed_kcal": cal.get("acid_speed_kcal", 1.0),
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"tension_zone_kcal": tension_zone_kcal,
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"quality_kcal": cal.get("quality_kcal", 1.0),
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"history": cal.get("history", []),
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})
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@router.post("/calibration/acid-speed", response_model=Response[dict])
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async def calibrate_acid_speed(body: AcidCalibRequest, _=Depends(get_current_user)):
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"""录入实测数据，更新酸洗速度模型校准系数"""
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try:
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model = AcidSpeedModel(
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thickness=body.thickness, width=body.width,
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steel_grade=body.steel_grade,
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acid_conc_list=body.acid_conc_list,
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acid_temp_list=body.acid_temp_list,
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scale_weight=body.scale_weight,
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)
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except ValueError as e:
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raise HTTPException(status_code=422, detail=str(e))
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k_before = model.K_cal
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predicted_speed = model.calculate()["max_speed"]
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k_after = model.calibrate(
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actual_max_speed=body.actual_max_speed,
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actual_quality_ok=body.actual_quality_ok,
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)
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_append_history(
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"acid_speed", k_before, k_after,
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{"actual_speed": body.actual_max_speed,
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"quality_ok": body.actual_quality_ok,
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"predicted_speed": predicted_speed},
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body.note or "",
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)
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return Response.ok({
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"k_before": k_before,
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"k_after": k_after,
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"predicted_speed": predicted_speed,
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"adjustment": round((k_after / k_before - 1) * 100, 2),
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})
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@router.post("/calibration/tension", response_model=Response[dict])
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async def calibrate_tension(body: TensionCalibRequest, _=Depends(get_current_user)):
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"""录入实测张力，仅更新指定区段的校准系数"""
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model = TensionModel(
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thickness=body.thickness, width=body.width,
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yield_strength=body.yield_strength, tension_coef=body.tension_coef,
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)
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calc = model.calculate()
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predicted_kn = calc["zones"].get(body.zone, {}).get("tension_kN", 0)
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k_before = model.zone_kcal.get(body.zone, 1.0)
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new_zone_kcal = model.calibrate(zone=body.zone, measured_kn=body.measured_kn)
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k_after = new_zone_kcal.get(body.zone, 1.0)
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_append_history(
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"tension", k_before, k_after,
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{"zone": body.zone,
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"measured_kn": body.measured_kn,
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"predicted_kn": predicted_kn},
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body.note or "",
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)
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return Response.ok({
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"zone": body.zone,
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"k_before": k_before,
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"k_after": k_after,
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"predicted_kn": predicted_kn,
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"measured_kn": body.measured_kn,
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"adjustment": round((k_after / k_before - 1) * 100, 2),
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"zone_kcal": new_zone_kcal,
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})
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@router.post("/calibration/quality", response_model=Response[dict])
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async def calibrate_quality(body: QualityCalibRequest, _=Depends(get_current_user)):
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"""录入实际质检等级，更新质量模型校准系数"""
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model = QualityPredictionModel(
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thickness=body.thickness, avg_speed=body.avg_speed,
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acid_conc_avg=body.acid_conc_avg, acid_temp_avg=body.acid_temp_avg,
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scale_weight=body.scale_weight,
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)
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k_before = model.K_cal
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calc = model.calculate()
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predicted_grade = calc["overall_grade"]
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k_after = model.calibrate(actual_grade=body.actual_grade)
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_append_history(
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"quality", k_before, k_after,
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{"actual_grade": body.actual_grade,
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"predicted_grade": predicted_grade},
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body.note or "",
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)
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return Response.ok({
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"k_before": k_before,
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"k_after": k_after,
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"predicted_grade": predicted_grade,
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"actual_grade": body.actual_grade,
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"adjustment": round((k_after / k_before - 1) * 100, 2),
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})
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@router.post("/calibration/reset/{model_key}", response_model=Response[dict])
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async def reset_calibration(model_key: str, _=Depends(get_current_user)):
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"""将指定模型的校准系数全部重置为 1.0"""
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cal = _load_cal()
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if model_key == "tension":
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# 重置所有区段
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for z in TENSION_ZONES:
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cal[f"tension_zone_{z}"] = 1.0
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_append_history("tension", None, 1.0, {"action": "reset_all_zones"})
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elif model_key in ("acid_speed", "quality"):
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key = f"{model_key}_kcal"
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k_before = cal.get(key, 1.0)
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cal[key] = 1.0
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_append_history(model_key, k_before, 1.0, {"action": "reset"})
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else:
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raise HTTPException(status_code=404, detail="未知模型")
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_save_cal(cal)
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return Response.ok({"model": model_key, "reset": True})
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