🤖 I have created a release *beep* *boop* --- ## [4.2.0](https://github.com/libretime/libretime/compare/4.1.0...4.2.0) (2024-06-22) ### Features * **legacy:** add current date macro to string block criteria ([#3013](https://github.com/libretime/libretime/issues/3013)) ([ |
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.. | ||
libretime_shared | ||
tests | ||
Makefile | ||
README.md | ||
packages.ini | ||
pyproject.toml | ||
requirements.txt | ||
setup.py |
README.md
Shared
The libretime_shared
package contains reusable functions and classes for the LibreTime project.
Usage
This library assumes that:
- You will use
Click
to build a CLI for your app. - You will use
Pydantic
to validate objects in your app.
Configuration
First define a schema for your configuration in order to validate it. A schema is a class that inherit from pydantic.BaseModel
. Some existing schemas can be reused such as libretime_shared.config.RabbitMQ
or libretime_shared.config.Database
.
Load your configuration using a subclass of libretime_shared.config.BaseConfig
.
from pydantic import BaseModel
from libretime_shared.config import RabbitMQConfig, BaseConfig
class AnalyzerConfig(BaseModel):
bpm_enabled: bool = False
bpm_track_max_length: int
class Config(BaseConfig):
rabbitmq: RabbitMQConfig
analyzer: AnalyzerConfig
config = Config("/etc/libretime/config.yml")
Don't instantiate a sub model if it has a required field, otherwise the
Config
class import will raise aValidationError
.
CLI
Decorate your CLI commands with the shared decorators to add extra flags.
import click
from libretime_shared.cli import cli_logging_options, cli_config_options
from .app import App
@click.group()
def cli():
pass
@cli.command()
@cli_config_options()
@cli_logging_options()
def run(**kwargs):
app = App(**kwargs)
return app.run()