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DockerFeed-1.3.9


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مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.

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مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.

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توضیحات

Docker Feed tool
ویژگی مقدار
سیستم عامل -
نام فایل DockerFeed-1.3.9
نام DockerFeed
نسخه کتابخانه 1.3.9
نگهدارنده []
ایمیل نگهدارنده []
نویسنده DIPS AS
ایمیل نویسنده hha@dips.no,heh@dips.no
آدرس صفحه اصلی https://github.com/DIPSAS/DockerFeed
آدرس اینترنتی https://pypi.org/project/DockerFeed/
مجوز -
# Docker Feed [![PyPI version](https://badge.fury.io/py/DockerFeed.svg)](https://badge.fury.io/py/DockerFeed) [![Build Status](https://travis-ci.com/DIPSAS/DockerFeed.svg?branch=master)](https://travis-ci.com/DIPSAS/DockerFeed) [![MIT license](http://img.shields.io/badge/license-MIT-brightgreen.svg)](http://opensource.org/licenses/MIT) Docker Feed is a simple and convenient tool for handling deployment of docker compose files to a Swarm environment. By convention, it locates all stacks to deploy on a [JFrog](https://jfrog.com/) feed with every stack following a docker-compose filename pattern of `docker-compose.stack-name.1.0.0.yml`, thus this filename convention: - `docker-compose.<STACK_NAME>.<VERSION>.yml` - Note! The stack name can only contain alphabetic letters and `-`/`_` signs. Additionally, the Swarm probably needs to initialize some infrastructure before any stacks are deployed. This is handled by defining a `swarm.management.yml` file with details about which `configs`, `secrets`, `volumes` or `networks` to create. By convention, the `DockerFeed` tool will automatically detect the `swarm.management.yml` file if it exists in the current folder. Please have a look at the [SwarmManagement](https://github.com/DIPSAS/SwarmManagement) project to get more details, but following is an example on how the `swarm.management.yml` content could look like: ```yaml networks: <network_name>: encrypted: true configs: <config_name>: <config_file> secrets: <secret_name>: <secret_file> volumes: <volume_name>: driver: local env_files: - <environment_file> ``` To map which stacks fits with each other, we introduce the `docker-compose-module` artifact. The `docker-compose-module` artifact follows a filename pattern of `docker-compose-module.module-name.1.0.0.yml`, thus this filename convention: - `docker-compose-module.<MODULE_NAME>.<VERSION>.yml` - Note! The module name can only contain alphabetic letters and `-`/`_` signs. The `docker-compose-module` artifact is a yaml file with this type of content: ```yaml modules: my_module: run: - batch>=1.0.0 deploy: - nginx>=1.0.0 ``` The `run` section of the module is a list of stacks to run as batch processes before deploying the stacks in the `deploy` section. An example on how to use DockerFeed is found in the [./Example](./Example) folder. ## Install Or Upgrade - pip install --upgrade DockerFeed ## Prerequisites - python3x - Docker: - https://www.docker.com/get-docker ## Usage The Docker Feed tool is available as the command line tool `dockerf`. Handle the docker feed by adding any of the following commands with zero or more stacks to handle. Prefix any of the following actions with the `module` argument to handle `docker-compose-module` deployments. - `init` - Initialize Swarm. - `deploy` - Deploy stacks to Swarm. - Adding no specific stacks to deploy will result in deploying all stacks. - Example: `dockerf deploy first-stack second-stack>=1.0.0 third-stack==1.2.3` - Example with module deployment: `dockerf module deploy first-module second-module>=1.0.0` - `rm`/`remove` - Remove stacks from Swarm. - Adding no specific stacks to remove will result in removing all stacks. - Example: `dockerf remove first-stack second-stack` - `ls/list` - List stacks on feed. - Hint, add search criterias following `ls`, such as: - `dockerf ls first-stack second-stack>=1.0.0` - `prune` - Remove all stacks. - `pull` - Pull stacks from feed. - `push` - Push docker-compose files to feed. - Example: `dockerf push docker-compose.first-stack.yml docker-compose.second-stack.yml` - `run` - Run stacks as batch processes. - Logs from each process is stored in a `logs` folder in the working directory. - `verify` - Verify that the stacks are properly configured. - Following requirements are possible to validate: 1. Add `--verify-image-digests` to verify that All images are tagged with an immutable [digest](https://success.docker.com/article/images-tagging-vs-digests). 2. Add `--verify-images` to verify that all images are labeled with following labels: - org.opencontainers.image.created - org.opencontainers.image.authors - org.opencontainers.image.revision - org.opencontainers.image.version - org.opencontainers.image.documentation - org.opencontainers.image.title 3. Additional validation checks are also possible to activate: - `--verify-no-configs` - `--verify-no-secrets` - `--verify-no-volumes` - `--verify-no-ports` - Optional arguments: - `-s/--source` to specify feed source. Either uri to jfrog feed, or a local folder with stack files. Default is `https://artifacts/delivery-dev`. - `-u/--user` to specify user credentials for jfrog as `user:password`. - `-t/--token` to specify a token for jfrog. - `--verify-uri` to verify the jfrog uri certificate. - `-e/--env` with environment variables to expose as `envKey=envValue`: - `dockerf deploy -e key1=variable1 key2=variable2` - Alternatively, any present `.env` will be considered as a file with environment variables to expose. - `-r/--read` with a list of files containing stacks to handle, thus each line in the file is the name of a stack to handle. - `dockerf deploy -r stackList.txt stackList2.txt` - `--output-folder` to specify a destination folder for pulling stack files with 'pull'. Default is `./output/`. - `--ignored` followed by a list of stacks or modules to ignore. - `--logs-folder` to specify folder for storing log files when executing batch processes with 'run'. Default is './logs'. - `--no-logs` to drop storing log files when executing batch processes with 'run'. - `--verify-stacks-on-deploy` to deploy only valid stacks. - `--verify-image-digests` to validate that image digests are used. - `--verify-images` to validate required labels on images. - `--verify-no-configs` to validate that no Swarm configs are used in stack. - `--verify-no-secrets` to validate that no Swarm secrets are used in stack. - `--verify-no-volumes` to validate that no Swarm volumes are used in stack. - `--verify-no-ports` to validate that no ports are exposed in stack. - `-i/--infrastructure` to specify the path to swarm.management.yml files for creating the Swarm infrastructure. - `-c/--cache` to specify the cache folder to use for local cache storage of files. - `-said/--stack-artifact-identifier` to specify stack artifact identifier. Default is `docker-compose.`. - `-maid/--module-artifact-identifier` to specify module artifact identifier. Default is `docker-compose-module.`. - `-h/--help` for help: - `dockerf -h` ## DockerFeed In Docker The [dipsas/dockerfeed](https://hub.docker.com/repository/docker/dipsas/dockerfeed) image includes [DockerFeed](https://github.com/DIPSAS/DockerFeed) binaries, and makes it possible to push and verify docker-compose charts inside of a container. Additionally, it is possible to push regular [Helm](https://helm.sh/) charts to a helm repository. ## Example ### Push docker-compose chart: ``` docker run -it -v C:/MyLocalDirectoryTo/charts/:/charts -w /charts dipsas/dockerfeed push docker-compose.stack-name.1.0.0.yml --source https://artifacts/docker-compose-feed ``` ### Push helm chart: ``` docker run -it -v C:/MyLocalDirectoryTo/charts/:/charts -w /charts dipsas/dockerfeed push my-helm-chart-1.0.0.tgz --source https://artifacts/helm-feed ``` ## Development ### Dependencies: - `pip install twine` - `pip install wheel` - `pip install -r requirements.txt` ### Publish New Version. 1. Configure [CHANGELOG.md](./CHANGELOG.md) with new version. 3. Build: python setup.py bdist_wheel 4. Check: twine check dist/* 5. Publish: twine upload dist/* ### Run Unit Tests - python -m unittest


نیازمندی

مقدار نام
>=1.1.47 DockerBuildSystem
>=1.1.68 SwarmManagement
- dohq-artifactory
- python-dotenv
- pyyaml
- requests
- requirements-parser
- semantic-version
- validators
- check-manifest
- coverage


نحوه نصب


نصب پکیج whl DockerFeed-1.3.9:

    pip install DockerFeed-1.3.9.whl


نصب پکیج tar.gz DockerFeed-1.3.9:

    pip install DockerFeed-1.3.9.tar.gz