9abf9b4b58
FastAPI app that parses CMM inspection reports (PDF/Excel/CSV), computes SPC metrics (Cp/Cpk/Pp/Ppk, control limits, Shapiro-Wilk), generates interactive Plotly charts, and provides AI-powered quality summaries via Azure OpenAI with graceful fallback. Includes 21 passing tests covering parsers, SPC calculations, and API endpoints.
62 lines
1.7 KiB
Python
62 lines
1.7 KiB
Python
from __future__ import annotations
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from dataclasses import dataclass, field
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@dataclass
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class MeasurementRecord:
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feature_name: str
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nominal: float
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tolerance_plus: float
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tolerance_minus: float
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actual: float
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deviation: float = 0.0
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unit: str = "mm"
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@property
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def usl(self) -> float:
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return self.nominal + self.tolerance_plus
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@property
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def lsl(self) -> float:
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return self.nominal + self.tolerance_minus # tolerance_minus is negative
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@property
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def in_tolerance(self) -> bool:
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return self.lsl <= self.actual <= self.usl
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def to_dict(self) -> dict:
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return {
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"feature_name": self.feature_name,
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"nominal": self.nominal,
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"tolerance_plus": self.tolerance_plus,
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"tolerance_minus": self.tolerance_minus,
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"actual": self.actual,
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"deviation": self.deviation,
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"unit": self.unit,
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"usl": self.usl,
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"lsl": self.lsl,
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"in_tolerance": self.in_tolerance,
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}
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@dataclass
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class ParsedReport:
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filename: str
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measurements: list[MeasurementRecord] = field(default_factory=list)
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metadata: dict[str, str] = field(default_factory=dict)
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raw_text: str = ""
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@property
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def out_of_tolerance(self) -> list[MeasurementRecord]:
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return [m for m in self.measurements if not m.in_tolerance]
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def to_dict(self) -> dict:
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return {
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"filename": self.filename,
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"metadata": self.metadata,
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"measurement_count": len(self.measurements),
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"out_of_tolerance_count": len(self.out_of_tolerance),
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"measurements": [m.to_dict() for m in self.measurements],
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}
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