Adriano
d6508e0ae8
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>
33 lines
1.2 KiB
Python
33 lines
1.2 KiB
Python
"""Access log model for tracking user actions."""
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from datetime import datetime
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from typing import Optional
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from sqlalchemy import BigInteger, DateTime, ForeignKey, Index, Integer, JSON, String, func
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from sqlalchemy.orm import Mapped, mapped_column
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from database import Base
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class AccessLog(Base):
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__tablename__ = "access_logs"
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id: Mapped[int] = mapped_column(BigInteger, primary_key=True, autoincrement=True)
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user_id: Mapped[Optional[int]] = mapped_column(
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Integer, ForeignKey("users.id"), nullable=True
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)
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action: Mapped[str] = mapped_column(String(100), nullable=False, index=True)
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details: Mapped[Optional[dict]] = mapped_column(JSON, nullable=True)
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ip_address: Mapped[Optional[str]] = mapped_column(String(45), nullable=True)
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user_agent: Mapped[Optional[str]] = mapped_column(String(500), nullable=True)
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created_at: Mapped[datetime] = mapped_column(
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DateTime, nullable=False, server_default=func.now()
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)
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__table_args__ = (
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Index("ix_access_log_user_time", "user_id", "created_at"),
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{"mysql_engine": "InnoDB", "mysql_charset": "utf8mb4"},
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)
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def __repr__(self) -> str:
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return f"<AccessLog user={self.user_id} action={self.action}>"
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