ci: dockerise l'API + connexion DB et CORS configurables par env
- config.py: connexion SQL via DB_* (driver 18, auth SQL), fallback Windows local - main.py: origines CORS via CORS_ORIGINS - Dockerfile (python 3.12 + msodbcsql18) + workflow Gitea Actions (build/push image)
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@@ -3,28 +3,50 @@
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# Data Sentinel | COYAUD Anthony | 2026
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# ============================================================
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import os
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import pyodbc
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from contextlib import contextmanager
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class Config:
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# Chaîne de connexion SQL Server
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DB_CONNECTION_STRING = (
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def _build_connection_string() -> str:
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"""
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En déploiement (variables d'environnement présentes), on se connecte en
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authentification SQL. Sinon, on garde la connexion Windows locale par défaut
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(poste de dev).
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"""
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server = os.getenv("DB_SERVER")
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if server:
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driver = os.getenv("DB_DRIVER", "ODBC Driver 18 for SQL Server")
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port = os.getenv("DB_PORT", "1433")
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return (
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f"Driver={{{driver}}};"
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f"Server={server},{port};"
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f"Database={os.getenv('DB_NAME', 'DataSentinel')};"
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f"UID={os.getenv('DB_USER')};"
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f"PWD={os.getenv('DB_PASSWORD')};"
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"Encrypt=yes;TrustServerCertificate=yes;"
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)
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return (
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"Driver={ODBC Driver 17 for SQL Server};"
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"Server=LaptopCA\\SQLEXPRESS;"
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"Database=DataSentinel;"
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"Trusted_Connection=yes;"
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)
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class Config:
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# Chaîne de connexion SQL Server (env en prod, Windows en local)
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DB_CONNECTION_STRING = _build_connection_string()
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# Paramètres API
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API_TITLE = "Data Sentinel API"
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API_VERSION = "1.0.0"
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API_DESCRIPTION = "API de monitoring de la qualité des données — XEFI"
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# Sécurité JWT
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SECRET_KEY = "data-sentinel-secret-change-in-prod"
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ALGORITHM = "HS256"
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TOKEN_EXPIRE_MINUTES = 60
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SECRET_KEY = os.getenv("JWT_SECRET", "data-sentinel-secret-change-in-prod")
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ALGORITHM = os.getenv("JWT_ALGORITHM", "HS256")
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TOKEN_EXPIRE_MINUTES = int(os.getenv("JWT_EXPIRE_MINUTES", "60"))
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# ----------------------------------------------------------------
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