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توضیحات

Output notes for a Kubernetes deployment

ویژگی	مقدار
سیستم عامل	-
نام فایل	dok8s-0.0.4
نام	dok8s
نسخه کتابخانه	0.0.4
نگهدارنده	['Nicholas Elia']
ایمیل نگهدارنده	['me@nichelia.com']
نویسنده	Nicholas Elia
ایمیل نویسنده	me@nichelia.com
آدرس صفحه اصلی	https://github.com/nichelia/dok8s
آدرس اینترنتی	https://pypi.org/project/dok8s/
مجوز	MIT

[![github latest release](https://badgen.net/github/release/nichelia/dok8s?icon=github)](https://github.com/nichelia/dok8s/releases/latest/) [![pypi latest package](https://badgen.net/pypi/v/dok8s?label=pypi%20pacakge)](https://pypi.org/project/dok8s/) [![docker latest image](https://img.shields.io/docker/v/nichelia/dok8s?label=image&logo=docker&logoColor=white)](https://hub.docker.com/repository/docker/nichelia/dok8s) [![project license](https://badgen.net/github/license/nichelia/dok8s?color=purple)](https://github.com/nichelia/dok8s/blob/master/LICENSE) ![dok8s CI](https://github.com/nichelia/dok8s/workflows/dok8s%20CI/badge.svg) ![dok8s CD](https://github.com/nichelia/dok8s/workflows/dok8s%20CD/badge.svg) [![security scan](https://badgen.net/dependabot/nichelia/dok8s/?label=security%20scan)](https://github.com/nichelia/dok8s/labels/security%20patch) [![pre-commit](https://img.shields.io/badge/pre--commit-enabled-brightgreen)](https://github.com/pre-commit/pre-commit) [![code coverage](https://badgen.net/codecov/c/github/nichelia/dok8s?label=code%20coverage)](https://codecov.io/gh/nichelia/dok8s) [![code alerts](https://badgen.net/lgtm/alerts/g/nichelia/dok8s?label=code%20alerts)](https://lgtm.com/projects/g/nichelia/dok8s/alerts/) [![code quality](https://badgen.net/lgtm/grade/g/nichelia/dok8s?label=code%20quality)](https://lgtm.com/projects/g/nichelia/dok8s/context:python) [![code style](https://badgen.net/badge/code%20style/black/color=black)](https://github.com/ambv/black) # dok8s dok8s: Output notes for a Kubernetes deployment. ## Contents 1. [Use Case](#use-case) 2. [Configuration](#configuration) 3. [Development](#development) 4. [Testing](#testing) 5. [Versioning](#versioning) 6. [Deployment](#deployment) 7. [Production](#production) ## Use Case Collect and export information about a Kubernetes deployment (such as components, resources and docker images/tags) in a table format. Input: Deployment files (collection of YAML definitions). Output: Pretty-print tabular data. ### Requirements * Parse the following Kubernetes components: `ConfigMap`, `Deployment`, `Ingress`, `PersistentVolumeClaim`, `Secret`, `Service`, `StatefulSet`. * Collect relevant information: `kind`, `metadata name`, `data filenames`, `(init) containers`, `hosts / rules`, `storage name / size`, `ports`, `cpu/memory requests/limits` * Production-ready code. ### Assumptions * Parsed Kubernetes components are included in the [official python Kubernetes client](https://github.com/kubernetes-client/python) ### Design This project is based on a CLI interface. ### Example Output #### Input YAML file: [Cluster Autoscaler](https://raw.githubusercontent.com/kubernetes/autoscaler/master/cluster-autoscaler/cloudprovider/aws/examples/cluster-autoscaler-autodiscover.yaml) #### Output Components | Component | Value | Details | |:-------------------|:-------------------|:-------------------| | ClusterRole | cluster-autoscaler | -- | | ClusterRoleBinding | cluster-autoscaler | -- | | Deployment | cluster-autoscaler | cluster-autoscaler | | Role | cluster-autoscaler | -- | | RoleBinding | cluster-autoscaler | -- | | ServiceAccount | cluster-autoscaler | -- | Resources | Platform/Service | Name | Request | Limit Request | Notes | |:-------------------|:-------------------|:----------------------|:----------------------|:--------| | cluster-autoscaler | cluster-autoscaler | CPU:100m Memory:300Mi | CPU:100m Memory:300Mi | -- | Docker images | Platform/Service | Name | Image | Version | |:-------------------|:-------------------|:------------------------------|:----------| | cluster-autoscaler | cluster-autoscaler | k8s.gcr.io/cluster-autoscaler | v1.14.7 | ## Configuration Behaviour of the application can be configured via Environment Variables. | Environment Variable | Description | Type | Default Value | | -------------- | -------------- | -------------- | -------------- | | `DOK8S_LOG_LEVEL` | Level of logging - overrides verbose/quiet flag | string | - | | `DOK8S_LOG_DIR` | Directory to save logs | string | - | | `DOK8S_BIN_DIR` | Directory to save any output (bin) | string | bin | ## Development ### Configure your local development * Clone [repo](https://github.com/nichelia/dok8s) on your local machine * Install [`conda`](https://www.anaconda.com) or [`miniconda`](https://docs.conda.io/en/latest/miniconda.html) * Create your local project environment (based on [`conda`](https://www.anaconda.com), [`poetry`](https://python-poetry.org), [`pre-commit`](https://pre-commit.com)): `$ make env` * (Optional) Update existing local project environment: `$ make env-update` ### Run locally On a terminal, run the following (execute on project's root directory): * Activate project environment: `$ . ./scripts/helpers/environment.sh` * Run the CLI using `poetry`: `$ dok8s` ### Contribute [ Not Available ] ## Testing (part of CI/CD) [ Work in progress... ] To run the tests, open a terminal and run the following (execute on project's root directory): * Activate project environment: `$ . ./scripts/helpers/environment.sh` * To run pytest: `$ make test` * To check test coverage: `$ make test-coverage` ## Versioning Increment the version number: `$ poetry version {bump rule}` where valid bump rules are: 1. patch 2. minor 3. major 4. prepatch 5. preminor 6. premajor 7. prerelease ### Changelog Use `CHANGELOG.md` to track the evolution of this package. The `[UNRELEASED]` tag at the top of the file should always be there to log the work until a release occurs. Work should be logged under one of the following subtitles: * Added * Changed * Fixed * Removed On a release, a version of the following format should be added to all the current unreleased changes in the file. `## [major.minor.patch] - YYYY-MM-DD` ## Deployment ### Pip package On a terminal, run the following (execute on project's root directory): * Activate project environment: `$ . ./scripts/helpers/environment.sh` * To build pip package: `$ make build-package` * To publish pip package (requires credentials to PyPi): `$ make publish-package` ### Docker image On a terminal, run the following (execute on project's root directory): * Activate project environment: `$ . ./scripts/helpers/environment.sh` * To build docker image: `$ make build-docker` ## Production For production, a Docker image is used. This image is published publicly on [docker hub](https://hub.docker.com/repository/docker/nichelia/dok8s). * First pull image from docker hub: `$ docker pull nichelia/dok8s:{version}` * Execute CLI via docker run: `$ docker run --rm -it -v ~/dok8s_bin:/tmp/bin nichelia/dok8s:{version} {command} -d /tmp/bin -o {filename}` This command mounts the application's bin (outcome) to user's root directory under dok8s_bin folder. The Kubernetes YAML files you want to parse, should be included in this directory. where version is the published application version

نیازمندی

مقدار	نام
>=5.3,<6.0	pyyaml
>=0.8,<0.9	tabulate
>=11.0,<12.0	kubernetes

زبان مورد نیاز

مقدار	نام
>=3.7,<4.0	Python

نحوه نصب

نصب پکیج whl dok8s-0.0.4:

pip install dok8s-0.0.4.whl

نصب پکیج tar.gz dok8s-0.0.4:

pip install dok8s-0.0.4.tar.gz