Molecule output will use ANSI colors if stdout is an interactive TTY andTERM value seems to support it. You can define PY_COLORS=1 to forceuse of ANSI colors, which can be handly for some CI systems.
Nov 03, 2018 Note that I used CI variables provided by GitLab. While they make the scripts really simple to run, it comes with the cost of more complicated testing, since you need to set up some environment variables before running scripts locally. If you prefer more explicit approach, just pass those variables as arguments to your script. A task queue service implemented using redis and flask CI CD using gitlab-ci and test using python unittest and deploy to AWS using terraform Gitlab Ci Github Trigger Example ⭐ 1 Project to demonstrate gitlab-ci trigger from a github repository. Note that I used CI variables provided by GitLab. While they make the scripts really simple to run, it comes with the cost of more complicated testing, since you need to set up some environment variables before running scripts locally. If you prefer more explicit approach, just pass those variables as arguments to your script. GitLab CI/CD script syntaxall tiers. GitLab CI/CD script syntax. You can use special syntax in script sections to: Split long commands into multiline commands. Use color codes to make job logs easier to review. Create custom collapsible sections to simplify job log output.
GitHub Actions
GitHub Actions runs a CI pipeline,much like any others, that’s built into GitHub.
An action to clone a repo as molecule_demo,and run moleculetest in ubuntu.
If you need access to requirements in private repositories, create a tokenwith the required privileges, then define a GIT_CREDENTIALS secret foryour repository with a value looking like https://username:token@github.com/,and finally add the following step before Test with molecule
Travis CI
Travis is a CI platform, which can be used to test Ansible roles.
A .travis.yml testing a role named foo1 with the Docker driver.
A .travis.yml using Tox as described below.
Gitlab CI
Gitlab includes its own CI. Pipelines are usually defined in a .gitlab-ci.yml file in the top folder of a repository, to be run on Gitlab Runners.
Here is an example using Docker in Docker
GitLab Runner is used to run your jobs and send the results back to GitLab.By tagging a Runner for the types of jobs it can handle,you can make sure shared Runners will only run the jobs they are equipped to run.
Here is another example using Docker, virtualenv and tags on Centos 7.
Azure Pipelines
Azure Pipelines projects rely on the azure-pipelines.yml file within the root folder of a repository. There are a number of pre-requisites for running CI/CD within Azure on self-hosted runners if you intend on using the UsePythonVersion task. Details of this can be found in the Use Python Version Task documentation.
Whilst the pipeline checks out your code initially as part of the pipeline task, by default, it checks it out into a directory named s within $(Agent.BuildDirectory). If you checkout one other repository, the s is substituted with the path provided in that checkout. If you checkout multiple roles (e.g. some private roles within your Azure organisation) then the s structure is used, hence the importance of the cd$(Agent.BuildDirectory)/role-name which ensures you are in the correct directory regardless of format. Check the Azure Build Variables documentation for more detailed information on these.
The exportPATH is required to ensure you can use the molecule/ansible shell scripts. Azure doesn’t add these by default.
Jenkins Pipeline
Jenkins projects can also be defined in a file, by default named Jenkinsfile in the top folder of a repository. Two syntax are available, Declarative and Scripted. Here is an example using the declarative syntax, setting up a virtualenv and testing an Ansible role via Molecule.
The following Jenkinsfile uses the Toolset image.
Note
For Jenkins to work properly using a Multibranch Pipeline or a GitHub Organisation - as used by Blue Ocean, therole name in the scenario converge.yml should be changed to perform a lookup of the role root directory. For example :
This is the cleaner of the current choices. See issue1567_comment for additional detail.
Tox
Tox is a generic virtualenv management, and test command line tool. Toxcan be used in conjunction with Factors and Molecule, to perform scenariotests.
To test the role against multiple versions of Ansible.
To view the factor generated tox environments run tox -l.
If using the –parallel functionality of Tox (version 3.7 onwards), Moleculemust be made aware of the parallel testing by setting aMOLECULE_EPHEMERAL_DIRECTORY environment variable per environment. In addition,we export a TOX_ENVNAME environment variable, it’s the name of our tox env.
You also must include the TOX_ENVNAME variable in name of each platform inmolecule.yml configuration file. This way, their names won’t create anyconflict.
Released:
This project provides pylint formatters for a nice integration with GitLab CI.
Project description
Run Python Script In Gitlab Circle
This project provides pylint formatters for a nice integration with GitLab CI.
| Formatter | Description |
|---|---|
GitlabCodeClimateReporter | Maps the linting result in Code Climate format |
GitlabPagesHtmlReporter | Creates a table in an HTML page with linting results and links to source code. |
Usage
Install package pylint-gitlab:
The pylint package is a dependency of pylint-gitlab so it will be installed automatically.
Now the formatters can be used by running pylint command and setting custom output formats with parameter --output-format.
Alternatively, you can load the pylint_gitlab plugin and then use the shortened --output-format names:
GitLab CI integration
Here is a minimalistic version for a .gitlab-ci.yml file:
You can then use the published badge for linting results.
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What I Found That Works Is To Save It To A Temp File. Import Os RefName = Os.environ.get('CI_COMMIT_REF_NAME') PiplineID = Os.environ.get('CI_PIPE..
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Python Gitlab Example
CloseRun Python Script In Gitlab Circuit
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