bcd807e57d
feat: FASE 5b/6.1+6.2 - SPC Backend + Dashboard Metrologist (Plotly.js)
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Aggiunge servizio SPC con calcoli Cp/Cpk/Pp/Ppk, carta di controllo (UCL/LCL),
istogramma con curva normale. Router FastAPI con 5 endpoint statistics, blueprint
Flask con proxy AJAX, dashboard interattiva Alpine.js + Plotly.js con filtri per
ricetta/subtask/date, riepilogo pass/fail, gauge Cpk e i18n IT/EN completo.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com >
2026-02-07 15:00:05 +01:00
d6508e0ae8
feat: FASE 1 - Backend Core (modelli, auth, API)
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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
dbdbb77daf
feat: FASE 0 - Setup progetto TieMeasureFlow
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Struttura monorepo completa con server FastAPI e client Flask:
- Server: FastAPI + SQLAlchemy 2.0 async + Alembic migrations
- Client: Flask + blueprints (auth, measure, maker, statistics)
- Database: docker-compose MySQL 8.0 + Alembic async config
- Config: pydantic-settings, TailwindCSS, Flask-Babel i18n
- Piano implementazione completo (18 sezioni, 1600 righe)
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com >
2026-02-07 00:16:54 +01:00
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