evergreen-py 3.2.9

Python client for the Evergreen API

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.

Table of contents

1. Description
2. Dependencies
3. Installation
4. Usage
5. Documentation
6. Contributor's Guide
   • Setting up a local development environment
   • Linting/formatting
   • Running tests
   • Automatically running checks on commit
   • Versioning
   • Code Review
   • Deployment

Description

This is a Python client library for interacting with Evergreen and Evergreen objects. It currently only supports the V2 version of Evergreen's api. It can be used either by Python code in a separate application or on the command line to get data about Evergreen objects quickly and easily.

Dependencies

• Python 3.7 or later

Installation

$ pip install evergreen.py

Usage

This client can be used either in code or directly via the command line.

In code:

>> 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)'

Cli:

$ 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
}

Documentation

You can find the documentation here.

Contributor's Guide

Setting up a local development environment

Requirements

• Poetry 1.1 or later

You will need Evergreen credentials on your local machine to use this library or the attached CLI. You can set up your credentials by following the link here.

Linting/formatting

This project uses black for formatting.

poetry run black src tests

Running tests

poetry run pytest

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

To get code coverage information:

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

Automatically 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

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.

Code Review

This project uses the Evergreen Commit Queue. Add a PR comment with evergreen merge to trigger a merge.

Deployment

Deployment to production is automatically triggered on merges to master.