mirror of
https://github.com/sstent/AICyclingCoach.git
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70 lines
1.9 KiB
Python
70 lines
1.9 KiB
Python
from logging.config import fileConfig
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from sqlalchemy import engine_from_config, pool
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from sqlalchemy.ext.asyncio import AsyncEngine, create_async_engine
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from alembic import context
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import sys
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import os
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from pathlib import Path
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# Add backend directory to path
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backend_dir = Path(__file__).parent.parent
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sys.path.insert(0, str(backend_dir))
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# Import base and models
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from backend.app.models.base import Base
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from backend.app.config import settings
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# Import all models to ensure they're registered
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from backend.app.models import *
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config = context.config
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fileConfig(config.config_file_name)
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target_metadata = Base.metadata
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def run_migrations_offline():
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"""Run migrations in 'offline' mode."""
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url = settings.DATABASE_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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render_as_batch=True, # Important for SQLite
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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_migrations_online():
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"""Run migrations in 'online' mode."""
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# Ensure data directory exists
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data_dir = Path("data")
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data_dir.mkdir(exist_ok=True)
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connectable = create_async_engine(
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settings.DATABASE_URL,
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poolclass=pool.NullPool,
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connect_args={"check_same_thread": False} if "sqlite" in settings.DATABASE_URL else {}
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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 do_run_migrations(connection):
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context.configure(
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connection=connection,
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target_metadata=target_metadata,
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render_as_batch=True, # Important for SQLite ALTER TABLE support
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)
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with context.begin_transaction():
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context.run_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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import asyncio
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asyncio.run(run_migrations_online()) |