Skip to main content

Python client for the Evergreen API

Project description

Evergreen.py

A client library for the Evergreen API written in python. Currently supports the V2 version of the API. For more details, see https://github.com/evergreen-ci/evergreen/wiki/REST-V2-Usage .

PyPI - Python Version PyPI Coverage Status

Documentation

You can find the documentation here.

Usage

>>> from evergreen.api import EvgAuth, EvergreenApi
>>> api = EvergreenApi.get_api(EvgAuth('david.bradford', '***'))
>>> project = api.project_by_id('mongodb-mongo-master')
>>> project.display_name
'MongoDB (master)'

Command Line Application

A command line application is included to explore the evergreen api data. It is called evg-api.

$ evg-api --json list-hosts
{
    "host_id": "host num 0",
    "host_url": "host.num.com",
    "distro": {
        "distro_id": "ubuntu1804-build",
        "provider": "static",
        "image_id": ""
    },
    "provisioned": true,
    "started_by": "mci",
    "host_type": "",
    "user": "mci-exec",
    "status": "running",
    "running_task": {
        "task_id": null,
        "name": null,
        "dispatch_time": null,
        "version_id": null,
        "build_id": null
    },
    "user_host": false
}
...

It may also be used from inside the repo using

$ poetry install
$ poetry run python src/evergreen/cli/main.py

Contributors Guide

Testing

Use poetry and pytest for testing.

$ poetry install
$ poetry run pytest

To get code coverage information:

$ poetry run pytest --cov=src --cov-report=html

This will generate an html coverage report in htmlcov/ directory.

There are a few tests that are slow running. These tests are not run by default, but can be included by setting the env variable RUN_SLOW_TESTS to any value.

$ RUN_SLOW_TEST=1 poetry run pytest

Running checks on commit

This project has pre-commit configured. Pre-commit will run configured checks at git commit time. To enable pre-commit on your local repository run:

$ poetry run pre-commit install

Versioning and Deploy

Before deploying a new version, please update the CHANGELOG.md file with a description of what is being changed.

Deploys to PyPi are done automatically on merges to master. In order to avoid overwriting a previous deploy, the version should be updated on all changes. The semver versioning scheme should be used for determining the version number.

The version is found in the pyproject.toml file.

Merging

Merges to master should be done by the evergreen commit queue. After a PR has been reviewed, add a comment with the text evergreen merge to merge the PR.

Project details


Release history Release notifications | RSS feed

Download files

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

Source Distribution

evergreen.py-2.0.0.tar.gz (34.4 kB view details)

Uploaded Source

Built Distribution

evergreen.py-2.0.0-py3-none-any.whl (43.3 kB view details)

Uploaded Python 3

File details

Details for the file evergreen.py-2.0.0.tar.gz.

File metadata

  • Download URL: evergreen.py-2.0.0.tar.gz
  • Upload date:
  • Size: 34.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.1.4 CPython/3.6.9 Linux/4.15.0-1044-aws

File hashes

Hashes for evergreen.py-2.0.0.tar.gz
Algorithm Hash digest
SHA256 048329661074e0c49350c32b4815c0da9a73c776a73f0a7ca39995f031734611
MD5 fae10b73883c50f4800be03867777f12
BLAKE2b-256 9f4e56919e79ed22b621debbcfc91c792f479a73e02533a91ea9b72e9ebf5133

See more details on using hashes here.

File details

Details for the file evergreen.py-2.0.0-py3-none-any.whl.

File metadata

  • Download URL: evergreen.py-2.0.0-py3-none-any.whl
  • Upload date:
  • Size: 43.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.1.4 CPython/3.6.9 Linux/4.15.0-1044-aws

File hashes

Hashes for evergreen.py-2.0.0-py3-none-any.whl
Algorithm Hash digest
SHA256 b4033f9f8eee722c923cc0a1c664dbe6eb600d2bbb14a9d79487b4f1dc408b4d
MD5 3f24b9d0ffe3a197072e4475baf411e3
BLAKE2b-256 b4231d609fa844a886e46869b2507feda62e0e82c72f2984e25d527442058af2

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