Files
TieMeasureFlow/server/services/measurement_service.py
T
Adriano d6508e0ae8 feat: FASE 1 - Backend Core (modelli, auth, API)
Implementazione completa del backend FastAPI:
- Modelli SQLAlchemy: User, Recipe, RecipeVersion, RecipeTask,
  RecipeSubtask, Measurement, AccessLog, SystemSetting, RecipeVersionAudit
- Schemas Pydantic v2 per tutti i CRUD + statistiche SPC
- Middleware: API Key auth (X-API-Key) con role checking + access logging
- Router: auth, users, recipes, tasks, measurements, files, settings
- Services: auth (bcrypt+secrets), recipe (copy-on-write versioning),
  measurement (auto pass/fail con UTL/UWL/LWL/LTL)
- Alembic env.py con import modelli attivi
- Fix architect review: no double-commit, recipe_id subquery filter,
  user_id in access logs, type annotations corrette

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-07 00:40:50 +01:00

78 lines
2.3 KiB
Python

"""Measurement service - pass/fail calculation, data storage."""
from decimal import Decimal
from sqlalchemy import select
from sqlalchemy.ext.asyncio import AsyncSession
from models.measurement import Measurement
from models.task import RecipeSubtask
def calculate_pass_fail(
value: float, subtask: RecipeSubtask
) -> tuple[str, float | None]:
"""Calculate pass/fail status and deviation based on tolerances.
Returns (status, deviation) where status is 'pass', 'warning', or 'fail'.
Logic:
- If value is outside UTL/LTL -> 'fail'
- If value is outside UWL/LWL but inside UTL/LTL -> 'warning'
- Otherwise -> 'pass'
"""
deviation = None
if subtask.nominal is not None:
deviation = float(Decimal(str(value)) - Decimal(str(subtask.nominal)))
# Check fail (outside tolerance limits)
if subtask.utl is not None and value > float(subtask.utl):
return "fail", deviation
if subtask.ltl is not None and value < float(subtask.ltl):
return "fail", deviation
# Check warning (outside warning limits)
if subtask.uwl is not None and value > float(subtask.uwl):
return "warning", deviation
if subtask.lwl is not None and value < float(subtask.lwl):
return "warning", deviation
return "pass", deviation
async def save_measurement(
db: AsyncSession,
subtask_id: int,
version_id: int,
measured_by: int,
value: float,
lot_number: str | None = None,
serial_number: str | None = None,
input_method: str = "manual",
) -> Measurement:
"""Save a single measurement with auto-calculated pass/fail."""
# Get subtask for tolerance values
result = await db.execute(
select(RecipeSubtask).where(RecipeSubtask.id == subtask_id)
)
subtask = result.scalar_one_or_none()
if subtask is None:
raise ValueError(f"Subtask {subtask_id} not found")
pass_fail, deviation = calculate_pass_fail(value, subtask)
measurement = Measurement(
subtask_id=subtask_id,
version_id=version_id,
measured_by=measured_by,
value=value,
pass_fail=pass_fail,
deviation=deviation,
lot_number=lot_number,
serial_number=serial_number,
input_method=input_method,
)
db.add(measurement)
await db.flush()
await db.refresh(measurement)
return measurement