Adriano
7249cb8a8c
Prima Cp/Cpk usava stdev campionaria e Pp/Ppk la population stdev: stesso indice due volte, proporzionale. Ora Cp/Cpk (capability a breve termine) usa sigma_within dalla moving range dei valori consecutivi in ordine cronologico; Pp/Ppk (performance complessiva) resta sulla stdev campionaria (n-1). MRbar == 0 -> Cp/Cpk None. Stessa sigma_within per UCL/LCL della carta di controllo a valori individuali (mean +/- 2.66*MRbar), non piu la stdev globale che allargava i limiti e nascondeva la deriva. Aggiunto campo opzionale std_dev_within a CapabilityData. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
96 lines
2.6 KiB
Python
96 lines
2.6 KiB
Python
"""Pydantic schemas for SPC statistics responses."""
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from datetime import datetime
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from typing import Optional
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from pydantic import BaseModel, Field
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class StatisticsQuery(BaseModel):
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"""Common query parameters for statistics endpoints."""
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recipe_id: int
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version_id: Optional[int] = None
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subtask_id: Optional[int] = None
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date_from: Optional[datetime] = None
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date_to: Optional[datetime] = None
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operator_id: Optional[int] = None
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lot_number: Optional[str] = None
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serial_number: Optional[str] = None
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class ControlChartData(BaseModel):
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"""Data for X-bar/R control chart."""
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values: list[float]
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timestamps: list[datetime]
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mean: float
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ucl: float # Upper Control Limit
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lcl: float # Lower Control Limit
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utl: Optional[float] = None
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uwl: Optional[float] = None
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lwl: Optional[float] = None
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ltl: Optional[float] = None
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nominal: Optional[float] = None
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out_of_control: list[int] = [] # Indices of OOC points
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class HistogramData(BaseModel):
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"""Data for histogram with normal curve."""
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bins: list[float]
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counts: list[int]
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normal_x: list[float]
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normal_y: list[float]
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mean: float
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std_dev: float
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n: int
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class CapabilityData(BaseModel):
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"""Capability indices."""
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cp: Optional[float] = None
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cpk: Optional[float] = None
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pp: Optional[float] = None
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ppk: Optional[float] = None
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mean: float
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std_dev: float # overall sample std dev (n-1), used for Pp/Ppk
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std_dev_within: Optional[float] = None # MRbar/1.128, used for Cp/Cpk
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n: int
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utl: Optional[float] = None
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ltl: Optional[float] = None
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nominal: Optional[float] = None
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class TrendData(BaseModel):
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"""Temporal trend data for capability indices."""
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dates: list[datetime]
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cpk_values: list[Optional[float]]
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ppk_values: list[Optional[float]]
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n_per_period: list[int]
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class SummaryData(BaseModel):
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"""Pass/fail/warning summary counts."""
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total: int
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pass_count: int
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warning_count: int
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fail_count: int
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pass_rate: float
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warning_rate: float
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fail_rate: float
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class AlertData(BaseModel):
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"""Western Electric rules violations."""
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rule: str
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description: str
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points: list[int] # Indices of violating points
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severity: str = Field(..., pattern="^(info|warning|critical)$")
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class StatisticsResponse(BaseModel):
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"""Combined statistics response."""
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summary: SummaryData
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capability: Optional[CapabilityData] = None
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control_chart: Optional[ControlChartData] = None
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histogram: Optional[HistogramData] = None
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trend: Optional[TrendData] = None
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alerts: list[AlertData] = []
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