Adriano
ddf7788d77
Aggiunge POST /api/vision/execute: route l'immagine al worker di visione, mappa le uscite del grafo sulle quote e le salva con save_measurement - stesso verdetto, stesso gate del fuori tolleranza di ogni altra misura. Nuova tabella vision_results (una riga per acquisizione, non per quota) e input_method 'camera' su measurements. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_014BBnuACZSCJqXrMYC3LUMU
88 lines
3.4 KiB
Python
88 lines
3.4 KiB
Python
"""Measurement model for storing individual measurements."""
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from datetime import datetime
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from typing import Optional
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from sqlalchemy import (
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BigInteger, Boolean, DECIMAL, DateTime, Enum, ForeignKey,
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Integer, String, func,
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)
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from sqlalchemy.orm import Mapped, mapped_column
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from src.backend.database import Base
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class Measurement(Base):
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__tablename__ = "measurements"
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id: Mapped[int] = mapped_column(Integer, primary_key=True, autoincrement=True)
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subtask_id: Mapped[int] = mapped_column(
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Integer, ForeignKey("recipe_subtasks.id"), nullable=False, index=True
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)
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version_id: Mapped[int] = mapped_column(
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Integer, ForeignKey("recipe_versions.id"), nullable=False, index=True
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)
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measured_by: Mapped[int] = mapped_column(
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Integer, ForeignKey("users.id"), nullable=False, index=True
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)
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# Measurement data
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value: Mapped[float] = mapped_column(DECIMAL(12, 6), nullable=False)
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pass_fail: Mapped[str] = mapped_column(
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Enum("pass", "warning", "fail", name="pass_fail_enum"), nullable=False
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)
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deviation: Mapped[Optional[float]] = mapped_column(DECIMAL(12, 6), nullable=True)
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# Traceability
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lot_number: Mapped[Optional[str]] = mapped_column(String(100), nullable=True, index=True)
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serial_number: Mapped[Optional[str]] = mapped_column(String(100), nullable=True, index=True)
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# Input method
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input_method: Mapped[str] = mapped_column(
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Enum("usb_caliper", "manual", "camera", name="input_method_enum"),
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nullable=False,
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default="manual",
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)
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# The vision execution that produced this value, when there was one. Null for
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# everything taken by caliper or typed by hand.
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vision_result_id: Mapped[Optional[int]] = mapped_column(
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Integer, ForeignKey("vision_results.id"), nullable=True
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)
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# Time spent by the operator entering this value (client-reported)
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input_duration_ms: Mapped[Optional[int]] = mapped_column(
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Integer, nullable=True
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)
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# The production this was taken during, when there was one. Nullable: rows
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# predating production runs, and measurements taken outside a production, have
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# none. This is what makes "the measurements of this production" a query, which
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# fine produzione needs to emit the statistics file.
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production_run_id: Mapped[Optional[int]] = mapped_column(
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Integer,
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ForeignKey("production_runs.id", ondelete="SET NULL"),
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nullable=True,
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index=True,
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)
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# Who let an out-of-tolerance value stand, and when. Null on a value that is
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# within tolerance, and null on one that is not and has not been authorised -
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# which is exactly the state that stops the operator moving on to the next
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# quote. Before this the supervisor's approval was a modal that closed: nothing
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# recorded it, and nothing depended on it.
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supervisor_id: Mapped[Optional[int]] = mapped_column(
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Integer, ForeignKey("users.id"), nullable=True, index=True
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)
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authorised_at: Mapped[Optional[datetime]] = mapped_column(DateTime, nullable=True)
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# Timestamp
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measured_at: Mapped[datetime] = mapped_column(
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DateTime, nullable=False, server_default=func.now(), index=True
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)
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# CSV sync flag
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synced_to_csv: Mapped[bool] = mapped_column(Boolean, default=False)
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def __repr__(self) -> str:
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return f"<Measurement subtask={self.subtask_id} value={self.value} {self.pass_fail}>"
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