Automated Action 4bbc49f04d Create a FastAPI REST API service with SQLite database
- Set up project structure
- Configure SQLite database with SQLAlchemy
- Create item model and schema
- Set up Alembic for database migrations
- Implement CRUD operations for items
- Add health check endpoint
- Add API documentation
- Configure Ruff for linting
- Update README with project information
2025-05-23 09:14:12 +00:00

76 lines
2.2 KiB
Python

from logging.config import fileConfig
from alembic import context
from sqlalchemy import engine_from_config, pool
from app.db.base import Base # noqa
# this is the Alembic Config object, which provides
# access to the values within the .ini file in use.
config = context.config
# Interpret the config file for Python logging.
# This line sets up loggers basically.
fileConfig(config.config_file_name)
# add your model's MetaData object here
# for 'autogenerate' support
# from myapp import mymodel
# target_metadata = mymodel.Base.metadata
target_metadata = Base.metadata
# other values from the config, defined by the needs of env.py,
# can be acquired:
# my_important_option = config.get_main_option("my_important_option")
# ... etc.
def run_migrations_offline() -> None:
"""Run migrations in 'offline' mode.
This configures the context with just a URL
and not an Engine, though an Engine is acceptable
here as well. By skipping the Engine creation
we don't even need a DBAPI to be available.
Calls to context.execute() here emit the given string to the
script output.
"""
url = config.get_main_option("sqlalchemy.url")
context.configure(
url=url,
target_metadata=target_metadata,
literal_binds=True,
dialect_opts={"paramstyle": "named"},
)
with context.begin_transaction():
context.run_migrations()
def run_migrations_online() -> None:
"""Run migrations in 'online' mode.
In this scenario we need to create an Engine
and associate a connection with the context.
"""
connectable = engine_from_config(
config.get_section(config.config_ini_section),
prefix="sqlalchemy.",
poolclass=pool.NullPool,
)
with connectable.connect() as connection:
# Check if we're using SQLite to enable batch mode
is_sqlite = connection.dialect.name == "sqlite"
context.configure(
connection=connection,
target_metadata=target_metadata,
# Enable batch mode for SQLite to handle column alterations
render_as_batch=is_sqlite,
)
with context.begin_transaction():
context.run_migrations()