Sistema completo para monitoreo y gestion de flotas de vehiculos con: - Backend FastAPI con PostgreSQL/TimescaleDB - Frontend React con TypeScript y TailwindCSS - App movil React Native con Expo - Soporte para dispositivos GPS, Meshtastic y celulares - Video streaming en vivo con MediaMTX - Geocercas, alertas, viajes y reportes - Autenticacion JWT y WebSockets en tiempo real Documentacion completa y guias de usuario incluidas.
138 lines
3.1 KiB
Python
138 lines
3.1 KiB
Python
"""
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Alembic environment configuration for Adan Fleet Monitor.
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Configurado para:
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- SQLAlchemy async (asyncpg)
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- TimescaleDB hypertables
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- Migraciones automáticas desde modelos
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"""
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import asyncio
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from logging.config import fileConfig
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from alembic import context
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from sqlalchemy import pool, text
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from sqlalchemy.engine import Connection
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from sqlalchemy.ext.asyncio import async_engine_from_config
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from app.core.config import settings
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from app.models.base import Base
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# Import all models so they are registered with Base.metadata
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from app.models import (
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Usuario,
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GrupoVehiculos,
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Conductor,
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Vehiculo,
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Dispositivo,
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Ubicacion,
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Viaje,
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Parada,
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TipoAlerta,
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Alerta,
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Geocerca,
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POI,
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CargaCombustible,
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TipoMantenimiento,
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Mantenimiento,
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Camara,
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Grabacion,
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EventoVideo,
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Mensaje,
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Configuracion,
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)
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# this is the Alembic Config object, which provides
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# access to the values within the .ini file in use.
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config = context.config
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# Interpret the config file for Python logging.
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if config.config_file_name is not None:
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fileConfig(config.config_file_name)
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# add your model's MetaData object here
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target_metadata = Base.metadata
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def get_url() -> str:
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"""
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Obtiene la URL de la base de datos desde la configuración.
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"""
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return settings.DATABASE_URL
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def run_migrations_offline() -> None:
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"""
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Run migrations in 'offline' mode.
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This configures the context with just a URL
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and not an Engine, though an Engine is acceptable
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here as well. By skipping the Engine creation
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we don't even need a DBAPI to be available.
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Calls to context.execute() here emit the given string to the
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script output.
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"""
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url = get_url()
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context.configure(
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url=url,
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target_metadata=target_metadata,
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literal_binds=True,
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dialect_opts={"paramstyle": "named"},
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compare_type=True,
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compare_server_default=True,
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)
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with context.begin_transaction():
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context.run_migrations()
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def do_run_migrations(connection: Connection) -> None:
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"""
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Run migrations with the given connection.
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"""
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context.configure(
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connection=connection,
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target_metadata=target_metadata,
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compare_type=True,
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compare_server_default=True,
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)
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with context.begin_transaction():
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context.run_migrations()
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async def run_async_migrations() -> None:
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"""
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Run migrations in 'online' mode with async engine.
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In this scenario we need to create an Engine
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and associate a connection with the context.
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"""
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configuration = config.get_section(config.config_ini_section)
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configuration["sqlalchemy.url"] = get_url()
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connectable = async_engine_from_config(
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configuration,
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prefix="sqlalchemy.",
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poolclass=pool.NullPool,
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)
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async with connectable.connect() as connection:
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await connection.run_sync(do_run_migrations)
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await connectable.dispose()
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def run_migrations_online() -> None:
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"""
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Run migrations in 'online' mode.
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"""
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asyncio.run(run_async_migrations())
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if context.is_offline_mode():
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run_migrations_offline()
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else:
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run_migrations_online()
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