Tasks
- class yasmon.tasks.TaskRunner(tasks: TaskList, testenv: bool = False)
Asyncio loop handler. Acts as a functor.
- async signal_handler(sig: Signals)
Signal handler.
- async cancle_tasks(delay=2)
Cancle tasks (for testing purposes)
- class yasmon.tasks.TaskList(iterable: list[yasmon.tasks.AbstractTask] | None = None)
A dedicated list for tasks.
- class yasmon.tasks.WatchfilesTask(name: str, changes: list[watchfiles.main.Change], callbacks: list[yasmon.callbacks.AbstractCallback], paths: list[str], timeout: int, max_retry: int, attrs: dict[str, str] | None = None)
- __init__(name: str, changes: list[watchfiles.main.Change], callbacks: list[yasmon.callbacks.AbstractCallback], paths: list[str], timeout: int, max_retry: int, attrs: dict[str, str] | None = None) None
- Parameters:
name – unique identifier
changes – list of watchfiles events
callbacks – assigned callbacks
paths – paths to watch (files/directories)
attrs – (static) attributes
- async awatch_loop(callback)
- classmethod from_yaml(name: str, data: str, callbacks: list[yasmon.callbacks.AbstractCallback]) Self
WatchfilesTaskcan be also constructed from a YAML snippet.changes: - added callbacks: - callback0 paths: - /some/path/to/file1 - /some/path/to/file2 attrs: myattr: value timeout: 10 max_retry: 3
Possible changes are
added,modifiedanddeleted.- Parameters:
name – unique identifier
data – YAML snippet
callbacks – list of associated callbacks
- Returns:
new instance
- Return type:
- class yasmon.tasks.AbstractTask
Abstract class from which all task classes are derived.
Derived tasks are functors calling the assigned callback coroutine and can be used for
yasmon.tasks.TaskRunner.The preferred way to instatiate a task is from class method
from_yaml().- abstract async __call__(callback: AbstractCallback)
Coroutine called by
TaskRunner.
- abstract classmethod from_yaml(name: str, data: str, callbacks: list[yasmon.callbacks.AbstractCallback])
A class method for constructing a callback from a YAML document.
- Parameters:
name – unique identifier
data – yaml data
callbacks – collection of callbacks
- Returns:
new instance