Skip to main content

Simplified, resilient schedulers with typechecking.

Project description

beatdrop

The goal of beatdrop is to provide easy to use schedulers and schedule entries that are extensible, scalable, and backend agnostic.

It does not run tasks or python functions on a schedule. It will simply interface with task backends to send tasks when they are due.

Installation

Install the base package with pip

$ pip install beatdrop

For particular schedulers and backends you will also need to install their extra dependencies.

$ pip install beatdrop[redis]

Extra dependencies for task backends:

  • celery

Extra dependencies for scheduler storage:

  • redis

  • sql

The all extra dependency will install all extra dependencies for task backends and scheduler storage.

$ pip install beatdrop[all]

Usage

There are 2 main pieces to using beatdrop.

  • Schedule Entry - Hold the task definition along with scheduling info.

  • Schedulers - These perform 2 main roles.

    • They can be run as a scheduler ie monitor and send tasks to the task backend.
    • Act as clients for reading and writing schedule entries.

Simple example:

from beatdrop import CeleryRedisScheduler, IntervalEntry
from celery import Celery

celery_app = Celery()

# Create a scheduler
sched = CeleryRedisScheduler(
    max_interval=60,
    celery_app=celery_app,
    lock_timeout=180,
    redis_py_kwargs={
        "host": "my.redis.host",
        "port": 6379,
        "db": 0,
        "password": "mys3cr3t"
    }
)
# create a schedule entry
inter = IntervalEntry(
    key="my-interval-entry",
    enabled=True,
    task="test_task",
    args=("my_args", 123),
    kwargs={
        "my_kwargs": 12.4
    },
    period=10
)

# save or update an entry 
sched.save(inter)
# list all entries, this will automatically paginate
schedule_entries = sched.list()
# retrieve a specific entry
my_inter_entry = sched.get(inter.key)
# equivalent to the line above
my_inter_entry = sched.get("my-interval-entry")
# Delete an entry from the scheduler
sched.delete(inter)

Development

After cloning the repo, install in development mode with the dev and all extra dependencies from local clone:

$ pip install -e .[dev,all]

Run tests

$ pytest -vvv --cov=beatdrop --cov-report html tests/unit

Changelog

Changelog for beatdrop. All notable changes to this project will be documented in this file.

The format is based on Keep a Changelog, and this project adheres to Semantic Versioning.

[Unreleased] - YYYY-MM-DD

Added

Changed

Deprecated

Removed

Fixed

Security

[0.1.0a1] - 2023-01-DD

Initial release

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

beatdrop-0.1.0a1.tar.gz (19.5 kB view details)

Uploaded Source

Built Distribution

beatdrop-0.1.0a1-py3-none-any.whl (30.5 kB view details)

Uploaded Python 3

File details

Details for the file beatdrop-0.1.0a1.tar.gz.

File metadata

  • Download URL: beatdrop-0.1.0a1.tar.gz
  • Upload date:
  • Size: 19.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.8

File hashes

Hashes for beatdrop-0.1.0a1.tar.gz
Algorithm Hash digest
SHA256 14c6c24af760908edd143438ab44dbe492253b07933540868344dcf55bd923ea
MD5 71cba0901f3c5bc5f5db77f41abfefb3
BLAKE2b-256 d7b95c3590a13e1cacf2108cf125806935f7375ce3a771346466b07c17e40c9e

See more details on using hashes here.

File details

Details for the file beatdrop-0.1.0a1-py3-none-any.whl.

File metadata

  • Download URL: beatdrop-0.1.0a1-py3-none-any.whl
  • Upload date:
  • Size: 30.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.8

File hashes

Hashes for beatdrop-0.1.0a1-py3-none-any.whl
Algorithm Hash digest
SHA256 b0cd454a304999fa37bbcfc3e649b328ff36a7bc3e8809d704931d87ee4cb525
MD5 b55f225f4688aead53772bc38d9f4555
BLAKE2b-256 0cee40dc9eb7d40392dc938d5a825beb73c9e11d7722b395235b7b4768ca2112

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page