معرفی شرکت ها
evergreen.py-3.6.0
تبلیغات ما
مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.
مشاهده بیشتر
تبلیغات ما
مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.
مشاهده بیشتر
تبلیغات ما
مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.
مشاهده بیشتر
تبلیغات ما
مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.
مشاهده بیشتر
تبلیغات ما
مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.
مشاهده بیشتر
3.6.0
3.5.9
3.5.8
3.5.7
3.5.6
3.5.5
3.5.4
3.5.3
3.5.2
3.5.1
3.5.0
3.4.6
3.4.5
3.4.4
3.4.3
3.4.2
3.4.1
3.4.0
3.3.9
3.3.8
3.3.7
3.3.6
3.3.5
3.3.4
3.3.3
3.3.2
3.3.1
3.3.0
3.2.9
3.2.8
3.2.7
3.2.6
3.2.5
3.2.4
3.2.3
3.2.2
3.2.1
3.2.0
3.1.1
3.1.0
3.0.9
3.0.8
3.0.7
3.0.6
3.0.5
3.0.4
3.0.3
3.0.2
3.0.1
3.0.0
2.2.4
2.2.3
2.2.2
2.2.1
2.2.0
2.1.0
2.0.6
2.0.5
2.0.4
2.0.3
2.0.2
2.0.1
2.0.0
1.4.9
1.4.8
1.4.7
1.4.6
1.4.5
1.4.4
1.4.3
1.4.2
1.4.1
1.4.0
1.3.1
1.3.0
1.2.1
1.2.0
1.1.1
1.1.0
1.0.2
1.0.1
1.0.0
0.6.9
0.6.8
0.6.7
0.6.6
0.6.5
0.6.4
0.6.3
0.6.2
0.6.16
0.6.15
0.6.14
0.6.13
0.6.12
0.6.11
0.6.10
0.6.1
0.6.0
0.5.0
0.4.1
0.4.0
0.3.9
0.3.8
0.3.7
0.3.6
0.3.5
0.3.4
0.3.3
0.3.2
0.3.1
0.3.0
0.2.3
0.2.2
0.2.1
0.2.0
0.1.9
0.1.8
0.1.7
0.1.6
0.1.5
0.1.4
0.1.3
0.1.16
0.1.15
0.1.14
0.1.13
0.1.12
0.1.11
0.1.10
0.1.1
0.1.0
3.6.0
3.5.9
3.5.8
3.5.7
3.5.6
3.5.5
3.5.4
3.5.3
3.5.2
3.5.1
3.5.0
3.4.6
3.4.5
3.4.4
3.4.3
3.4.2
3.4.1
3.4.0
3.3.9
3.3.8
3.3.7
3.3.6
3.3.5
3.3.4
3.3.3
3.3.2
3.3.1
3.3.0
3.2.9
3.2.8
3.2.7
3.2.6
3.2.5
3.2.4
3.2.3
3.2.2
3.2.1
3.2.0
3.1.1
3.1.0
3.0.9
3.0.8
3.0.7
3.0.6
3.0.5
3.0.4
3.0.3
3.0.2
3.0.1
3.0.0
2.2.4
2.2.3
2.2.2
2.2.1
2.2.0
2.1.0
2.0.6
2.0.5
2.0.4
2.0.3
2.0.2
2.0.1
2.0.0
1.4.9
1.4.8
1.4.7
1.4.6
1.4.5
1.4.4
1.4.3
1.4.2
1.4.1
1.4.0
1.3.1
1.3.0
1.2.1
1.2.0
1.1.1
1.1.0
1.0.2
1.0.1
1.0.0
0.6.9
0.6.8
0.6.7
0.6.6
0.6.5
0.6.4
0.6.3
0.6.2
0.6.16
0.6.15
0.6.14
0.6.13
0.6.12
0.6.11
0.6.10
0.6.1
0.6.0
0.5.0
0.4.1
0.4.0
0.3.9
0.3.8
0.3.7
0.3.6
0.3.5
0.3.4
0.3.3
0.3.2
0.3.1
0.3.0
0.2.3
0.2.2
0.2.1
0.2.0
0.1.9
0.1.8
0.1.7
0.1.6
0.1.5
0.1.4
0.1.3
0.1.16
0.1.15
0.1.14
0.1.13
0.1.12
0.1.11
0.1.10
0.1.1
0.1.0
توضیحات
Python client for the Evergreen API
| ویژگی | مقدار |
|---|---|
| سیستم عامل | - |
| نام فایل | evergreen.py-3.6.0 |
| نام | evergreen.py |
| نسخه کتابخانه | 3.6.0 |
| نگهدارنده | [] |
| ایمیل نگهدارنده | [] |
| نویسنده | Dev Prod DAG |
| ایمیل نویسنده | dev-prod-dag@mongodb.com |
| آدرس صفحه اصلی | https://github.com/evergreen-ci/evergreen.py |
| آدرس اینترنتی | https://pypi.org/project/evergreen.py/ |
| مجوز | Apache-2.0 |
# 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.
 [](https://pypi.org/project/evergreen.py/) [](https://coveralls.io/github/evergreen-ci/evergreen.py?branch=master)
## Table of contents
1. [Description](#description)
2. [Getting Help](#getting-help)
3. [Dependencies](#dependencies)
4. [Installation](#installation)
5. [Usage](#usage)
6. [Documentation](#documentation)
7. [Contributor's Guide](#contributors-guide)
- [Setting up a local development environment](#setting-up-a-local-development-environment)
- [Linting/formatting](#lintingformatting)
- [Running tests](#running-tests)
- [Automatically running checks on commit](#automatically-running-checks-on-commit)
- [Versioning](#versioning)
- [Code Review](#code-review)
- [Deployment](#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.
## Getting Help
### What's the right channel to ask my question?
If you have a question about evergreen.py, please mention @dag-on-call in
slack channel [#evergreen-users](https://mongodb.slack.com/messages/#evergreen-users/),
or email us at
dev-prod-dag@mongodb.com.
### How can I request a change/report a bug in evergreen.py?
Create a [DAG ticket](https://jira.mongodb.org/projects/DAG).
### What should I include in my ticket or #evergreen-users question?
Since #evergreen-users questions are interrupts,
please include as much information as possible.
This can help avoid long information-gathering threads.
Please include the following:
- **Motivation for Request**
- provide us the motivation for this change.
- **Context**
- provide some background contexts for this issue.
- **Description**
- provide some descriptions on how this issue happened.
## Dependencies
- Python 3.7 or later
## Installation
```bash
$ pip install evergreen.py
```
## Usage
This client can be used either in code or directly via the command line.
In code:
```python
>> 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:
```bash
$ 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
}
```
The `patch_from_diff` API requires the Evergreen CLI to be installed.
Add the following to the host's DOCKERFILE:
```bash
RUN wget https://evergreen.mongodb.com/clients/linux_amd64/evergreen
RUN chmod +x evergreen
ENV PATH="/project:$PATH"
```
You will need to provide an .evergreen.yml file with credentials to use the CLI. Assuming you are using the [web-app](https://github.com/10gen/helm-charts/tree/master/charts/web-app) chart this can be done by [mounting](https://kanopy.corp.mongodb.com/docs/getting_started/application_configuration/#configuration-filesvolumes) [kubernetes secrets](https://kanopy.corp.mongodb.com/docs/cheatsheet/#interacting-with-kubernetes-secrets) in your pod.
Store the secret in the cluster:
```bash
kubectl create secret generic <secret_name> --from-file .evergreen.yml --namespace <namespace>
```
In environments/deployment.yml configure the file to be mounted and linked to the correct location:
```yaml
volumeSecrets:
- name: <secret_name>
path: /etc/secrets
lifecycle:
postStart:
type: exec
command:
- /bin/sh
- -c
- ln -sf /etc/secrets/.evergreen.yml
```
## Documentation
You can find the documentation [here](https://evergreen-ci.github.io/evergreen.py/).
## 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](https://github.com/evergreen-ci/evergreen/wiki/Using-the-Command-Line-Tool#downloading-the-command-line-tool).
### Linting/formatting
This project uses [black](https://github.com/psf/black) for formatting.
```bash
poetry run black src tests
```
### Running tests
```bash
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](https://pre-commit.com/) configured. Pre-commit will run
configured checks at git commit time. To enable pre-commit on your local repository run:
```bash
$ 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](https://pypi.org/project/evergreen.py/) 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](https://semver.org/) 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](https://github.com/evergreen-ci/evergreen/wiki/Commit-Queue#pr).
Add a PR comment with `evergreen merge` to trigger a merge.
### Deployment
Deployment to production is automatically triggered on merges to master.
نیازمندی
| مقدار | نام |
|---|---|
| >=7 | Click |
| >=2 | python-dateutil |
| >=5 | PyYAML |
| >=2 | requests |
| >=19 | structlog |
| >=5 | tenacity |
| >=1 | pydantic |
زبان مورد نیاز
| مقدار | نام |
|---|---|
| >=3.6.1,<4.0.0 | Python |
نحوه نصب
نصب پکیج whl evergreen.py-3.6.0:
pip install evergreen.py-3.6.0.whl
نصب پکیج tar.gz evergreen.py-3.6.0:
pip install evergreen.py-3.6.0.tar.gz