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apscheduler-feedstock's Introduction

About apscheduler-feedstock

Feedstock license: BSD-3-Clause

Home: https://github.com/agronholm/apscheduler

Package license: MIT

Summary: In-process task scheduler with Cron-like capabilities

Development: https://github.com/agronholm/apscheduler

Documentation: https://apscheduler.readthedocs.io

Current build status

All platforms:

Current release info

Name Downloads Version Platforms
Conda Recipe Conda Downloads Conda Version Conda Platforms

Installing apscheduler

Installing apscheduler from the conda-forge channel can be achieved by adding conda-forge to your channels with:

conda config --add channels conda-forge
conda config --set channel_priority strict

Once the conda-forge channel has been enabled, apscheduler can be installed with conda:

conda install apscheduler

or with mamba:

mamba install apscheduler

It is possible to list all of the versions of apscheduler available on your platform with conda:

conda search apscheduler --channel conda-forge

or with mamba:

mamba search apscheduler --channel conda-forge

Alternatively, mamba repoquery may provide more information:

# Search all versions available on your platform:
mamba repoquery search apscheduler --channel conda-forge

# List packages depending on `apscheduler`:
mamba repoquery whoneeds apscheduler --channel conda-forge

# List dependencies of `apscheduler`:
mamba repoquery depends apscheduler --channel conda-forge

About conda-forge

Powered by NumFOCUS

conda-forge is a community-led conda channel of installable packages. In order to provide high-quality builds, the process has been automated into the conda-forge GitHub organization. The conda-forge organization contains one repository for each of the installable packages. Such a repository is known as a feedstock.

A feedstock is made up of a conda recipe (the instructions on what and how to build the package) and the necessary configurations for automatic building using freely available continuous integration services. Thanks to the awesome service provided by Azure, GitHub, CircleCI, AppVeyor, Drone, and TravisCI it is possible to build and upload installable packages to the conda-forge Anaconda-Cloud channel for Linux, Windows and OSX respectively.

To manage the continuous integration and simplify feedstock maintenance conda-smithy has been developed. Using the conda-forge.yml within this repository, it is possible to re-render all of this feedstock's supporting files (e.g. the CI configuration files) with conda smithy rerender.

For more information please check the conda-forge documentation.

Terminology

feedstock - the conda recipe (raw material), supporting scripts and CI configuration.

conda-smithy - the tool which helps orchestrate the feedstock. Its primary use is in the construction of the CI .yml files and simplify the management of many feedstocks.

conda-forge - the place where the feedstock and smithy live and work to produce the finished article (built conda distributions)

Updating apscheduler-feedstock

If you would like to improve the apscheduler recipe or build a new package version, please fork this repository and submit a PR. Upon submission, your changes will be run on the appropriate platforms to give the reviewer an opportunity to confirm that the changes result in a successful build. Once merged, the recipe will be re-built and uploaded automatically to the conda-forge channel, whereupon the built conda packages will be available for everybody to install and use from the conda-forge channel. Note that all branches in the conda-forge/apscheduler-feedstock are immediately built and any created packages are uploaded, so PRs should be based on branches in forks and branches in the main repository should only be used to build distinct package versions.

In order to produce a uniquely identifiable distribution:

  • If the version of a package is not being increased, please add or increase the build/number.
  • If the version of a package is being increased, please remember to return the build/number back to 0.

Feedstock Maintainers

apscheduler-feedstock's People

Contributors

beckermr avatar chrisburr avatar conda-forge-admin avatar conda-forge-curator[bot] avatar ddunwoody avatar github-actions[bot] avatar mariusvniekerk avatar regro-cf-autotick-bot avatar synapticarbors avatar tdudz avatar

Stargazers

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Watchers

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apscheduler-feedstock's Issues

[warning] failed package validation and/or copy for commit 123805c4a9040b3aa453d177ddd4adba8fde71f1

Hi @conda-forge/apscheduler! This is the friendly automated conda-forge-webservice!

It appears that one or more of your feedstock's outputs did not copy from the
staging channel (cf-staging) to the production channel (conda-forge). :(

This failure can happen for a lot of reasons, including an outdated feedstock
token. Below we have put some information about the failure to help you debug it.

Rerendering the feedstock will usually fix these problems.

If you have any issues or questions, you can find us on gitter in the
community chat room or you can bump us right here.

error messages:

  • invalid feedstock token

Incorrect dependency

Solution to issue cannot be found in the documentation.

  • I checked the documentation.

Issue

The latest versions of apscheduler on conda-forge have tzlocal >=2.0,<3.0 as a dependency. However, according to the setup.py file in the apscheduler github repo, since version 3.8.1, the correct dependency is tzlocal >=2.0,!=3.*

Installed packages

N/A

Environment info

N/A

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