3be833dc43
- Set up project structure - Configure SQLAlchemy models and database connection - Set up Alembic for database migrations - Create Pydantic schemas for API data validation - Implement task CRUD operations - Add task filtering and pagination - Include health check endpoint - Update README with setup and usage instructions
65 lines
1.7 KiB
Python
65 lines
1.7 KiB
Python
import sys
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from logging.config import fileConfig
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from pathlib import Path
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from sqlalchemy import engine_from_config
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from sqlalchemy import pool
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from alembic import context
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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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# This line sets up loggers basically.
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fileConfig(config.config_file_name)
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# add app directory to Python path
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sys.path.append(str(Path(__file__).parent.parent))
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# import models (must be after adding app directory to Python path)
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from app.database.base import Base # noqa: E402
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# target metadata
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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 = config.get_main_option("sqlalchemy.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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)
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with context.begin_transaction():
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context.run_migrations()
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def run_migrations_online():
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"""Run migrations in 'online' mode."""
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connectable = engine_from_config(
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config.get_section(config.config_ini_section),
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prefix="sqlalchemy.",
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poolclass=pool.NullPool,
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)
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with connectable.connect() as connection:
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is_sqlite = connection.dialect.name == 'sqlite'
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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=is_sqlite # Use batch mode 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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if context.is_offline_mode():
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run_migrations_offline()
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else:
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run_migrations_online() |