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

This version

3.0.5

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-3.0.5.tar.gz (37.3 kB view details)

Uploaded Source

Built Distribution

evergreen.py-3.0.5-py3-none-any.whl (47.0 kB view details)

Uploaded Python 3

File details

Details for the file evergreen.py-3.0.5.tar.gz.

File metadata

  • Download URL: evergreen.py-3.0.5.tar.gz
  • Upload date:
  • Size: 37.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.1.5 CPython/3.6.9 Linux/4.15.0-1044-aws

File hashes

Hashes for evergreen.py-3.0.5.tar.gz
Algorithm Hash digest
SHA256 f1745108bbbc30f9e43fe468dda9e1b39c40761ab939abbd6d8e167d2ba06d03
MD5 bbb3ffc76d09ad4758ab5674e64255c3
BLAKE2b-256 7d299cc24180bdb541dbbed892783a195677078cc464d99af220807e337c0d16

See more details on using hashes here.

File details

Details for the file evergreen.py-3.0.5-py3-none-any.whl.

File metadata

  • Download URL: evergreen.py-3.0.5-py3-none-any.whl
  • Upload date:
  • Size: 47.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.1.5 CPython/3.6.9 Linux/4.15.0-1044-aws

File hashes

Hashes for evergreen.py-3.0.5-py3-none-any.whl
Algorithm Hash digest
SHA256 fa5d9ab21e4d543b1208af5996d5aff3d5b2101dc501728f3bf895602260ef21
MD5 20dcdcb61404488220d6a77f4e0251b3
BLAKE2b-256 441d11f4fa889b217fab5dc52a0a31e2ffed6a22b21876000dcb5ffd2447ec07

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