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.
56 lines
1.6 KiB
Python
56 lines
1.6 KiB
Python
from __future__ import annotations
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import re
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from abc import ABC, abstractmethod
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from pathlib import Path
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from app.parsers.models import ParsedReport
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# Fuzzy column-name patterns → canonical field name
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COLUMN_PATTERNS: dict[str, list[re.Pattern[str]]] = {
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"feature_name": [
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re.compile(r"feat|char|dimen|label|id|name|item", re.I),
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],
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"nominal": [
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re.compile(r"nom|target|blueprint|print", re.I),
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],
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"tolerance_plus": [
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re.compile(r"tol.*\+|upper.*tol|\+.*tol|usl|dev.*\+|pos.*tol", re.I),
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],
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"tolerance_minus": [
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re.compile(r"tol.*-|lower.*tol|-.*tol|lsl|dev.*-|neg.*tol", re.I),
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],
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"actual": [
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re.compile(r"actual|meas|value|result|reading", re.I),
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],
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"deviation": [
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re.compile(r"dev(?!.*tol)|diff|error|delta", re.I),
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],
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}
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def match_column(header: str) -> str | None:
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"""Return the canonical field name for a header string, or None."""
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header = header.strip()
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for field_name, patterns in COLUMN_PATTERNS.items():
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for pat in patterns:
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if pat.search(header):
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return field_name
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return None
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class CMMParser(ABC):
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@abstractmethod
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def parse(self, path: Path) -> ParsedReport: ...
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def get_parser(filename: str) -> CMMParser:
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suffix = Path(filename).suffix.lower()
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if suffix == ".pdf":
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from app.parsers.pdf_parser import PDFParser
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return PDFParser()
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if suffix in (".xlsx", ".xls", ".csv"):
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from app.parsers.excel_parser import ExcelParser
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return ExcelParser()
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raise ValueError(f"Unsupported file type: {suffix}")
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