Ansible troubleshooting - Error galaxy
How to Solve the Ansible Error galaxy Understanding and Resolving "galaxy" Rule Violations in Ansible
Ansible is a powerful automation and configuration management tool that allows you to streamline and simplify complex IT tasks. One of Ansible’s key features is the use of collections, which are shareable units of automation, and can be hosted on Ansible Galaxy. Collections help automate various tasks efficiently. However, ensuring that your Ansible collections are well-maintained and follow best practices is crucial for seamless automation.
In this article, we’ll discuss the Ansible “
galaxy” rule, which is designed to identify and address issues related to the quality and completeness of your Ansible collections. This rule serves as a helpful guide to maintaining and certifying your collections on Automation Hub or Galaxy NG.
One of the first aspects the “
galaxy” rule checks is the collection version specified in your
galaxy.yml file. It ensures that the collection’s version is greater than or equal to
1.0.0. This requirement ensures that your collection follows a standard versioning convention, with the goal of indicating that it’s a production-ready release. For example:
# galaxy.yml --- name: my_collection namespace: my_namespace version: 0.2.3 # Collection version should be >= 1.0.0
WARNING Listing 5 violation(s) that are fatal galaxy[no-changelog]: No changelog found. Please add a changelog file. Refer to the galaxy.md file for more info. test/galaxy/galaxy.yml:1 galaxy[tags]: galaxy.yaml must have one of the required tags: ['application', 'cloud', 'database', 'infrastructure', 'linux', 'monitoring', 'networking', 'security', 'storage', 'tools', 'windows'] test/galaxy/galaxy.yml:1 schema[galaxy]: $ 'readme' is a required property. See https://docs.ansible.com/ansible/latest/dev_guide/collections_galaxy_meta.html test/galaxy/galaxy.yml:1 Returned errors will not include exact line numbers, but they will mention the schema name being used as a tag, like ``schema[playbook]``, ``schema[tasks]``. This rule is not skippable and stops further processing of the file. If incorrect schema was picked, you might want to either: * move the file to standard location, so its file is detected correctly. * use ``kinds:`` option in linter config to help it pick correct file type. galaxy[version-incorrect]: collection version should be greater than or equal to 1.0.0 test/galaxy/galaxy.yml:5 yaml[empty-lines]: Too many blank lines (1 > 0) test/galaxy/galaxy.yml:6 Read documentation for instructions on how to ignore specific rule violations. Rule Violation Summary count tag profile rule associated tags 1 schema[galaxy] basic core 1 yaml[empty-lines] basic formatting, yaml 1 galaxy[no-changelog] shared metadata 1 galaxy[tags] shared metadata 1 galaxy[version-incorrect] shared metadata Failed: 5 failure(s), 0 warning(s) on 1 files. Last profile that met the validation criteria was 'min'.
The Best Resources For Ansible
- CYBER DEALS at The Linux Foundation! Up to 65% off, and a FREE GIFT with EVERY PURCHASE! Limited Time, Don't Delay!
- Udemy: Learn Ansible Automation in 250+examples & practical lessons: Learn Ansible with some real-life examples of how to use the most common modules and Ansible Playbook
- Ansible by Examples: 200+ Automation Examples For Linux and Windows System Administrator and DevOps
- Ansible Cookbook: A Comprehensive Guide to Unleashing the Power of Ansible via Best Practices, Troubleshooting, and Linting Rules with Luca Berton
- Ansible For Windows By Examples: 50+ Automation Examples For Windows System Administrator And DevOps
- Ansible For Linux by Examples: 100+ Automation Examples For Linux System Administrator and DevOps
- Ansible Linux Filesystem By Examples: 40+ Automation Examples on Linux File and Directory Operation for Modern IT Infrastructure
- Ansible For Security by Examples: 100+ Automation Examples to Automate Security and Verify Compliance for IT Modern Infrastructure
- Ansible Tips and Tricks: 10+ Ansible Examples to Save Time and Automate More Tasks
- Ansible Linux Users & Groups By Examples: 20+ Automation Examples on Linux Users and Groups Operation for Modern IT Infrastructure
- Ansible For PostgreSQL by Examples: 10+ Examples To Automate Your PostgreSQL database
- Ansible For Amazon Web Services AWS By Examples: 10+ Examples To Automate Your AWS Modern Infrastructure
- Ansible Automation Platform By Example: A step-by-step guide for the most common user scenarios
# galaxy.yml --- name: my_collection namespace: my_namespace version: 1.0.0
The presence of a changelog file is crucial for transparency and documentation purposes. The “galaxy” rule checks for the existence of a changelog file in specific locations:
.rst in the collection’s root, or a
changelogs/changelog.yaml file. Changelogs are essential for tracking changes, bug fixes, and improvements made to the collection over time. The format of the changelog file should follow the Ansible Galaxy guidelines.
Tags for Certification
To ensure your collection can be certified on Automation Hub, it must contain one or more of the required tags in the
galaxy.yml file. The rule checks whether the necessary tags are included. These tags represent categories or areas of focus for your collection and help users easily find the right content on Automation Hub. The required tags are as follows:
Here’s an example of specifying these tags in the
# galaxy.yml --- namespace: my_namespace name: my_collection version: 1.0.0 authors: - John description: "..."
WARNING Listing 3 violation(s) that are fatal galaxy[no-changelog]: No changelog found. Please add a changelog file. Refer to the galaxy.md file for more info. test2/galaxy/galaxy.yml:1 galaxy[tags]: galaxy.yaml must have one of the required tags: ['application', 'cloud', 'database', 'infrastructure', 'linux', 'monitoring', 'networking', 'security', 'storage', 'tools', 'windows'] test2/galaxy/galaxy.yml:1 schema[galaxy]: $ 'readme' is a required property. See https://docs.ansible.com/ansible/latest/dev_guide/collections_galaxy_meta.html test2/galaxy/galaxy.yml:1 Returned errors will not include exact line numbers, but they will mention the schema name being used as a tag, like ``schema[playbook]``, ``schema[tasks]``. This rule is not skippable and stops further processing of the file. If incorrect schema was picked, you might want to either: * move the file to standard location, so its file is detected correctly. * use ``kinds:`` option in linter config to help it pick correct file type. Read documentation for instructions on how to ignore specific rule violations. Rule Violation Summary count tag profile rule associated tags 1 schema[galaxy] basic core 1 galaxy[no-changelog] shared metadata 1 galaxy[tags] shared metadata Failed: 3 failure(s), 0 warning(s) on 1 files. Last profile that met the validation criteria was 'min'.
# galaxy.yml --- namespace: my_namespace name: my_collection version: 1.0.0 authors: - John description: "..." tags: [networking, security]
Invalid Dependency Version
The “galaxy” rule also checks for invalid collection metadata, specifically within the dependency version specification range. It ensures that the defined dependencies and their version requirements follow the correct format.
In conclusion, the “galaxy” rule plays a crucial role in maintaining the quality and integrity of Ansible collections. By adhering to versioning conventions, including changelogs, and adding relevant certification tags, you can enhance the usability and discoverability of your collections on Automation Hub. Additionally, ensuring proper dependency version specifications helps maintain consistent and reliable automation processes.
By addressing these rule violations, you can create well-structured and certified collections that provide value to the Ansible community and enable more efficient automation.
Don’t forget to run Ansible linting tools, which can help you identify and rectify any “galaxy” rule violations, ensuring your collections meet the highest standards.
In conclusion, Ansible is a powerful automation and configuration management tool that simplifies complex IT tasks. To ensure the efficiency, reliability, and maintainability of your Ansible playbooks and collections, adhering to best practices and guidelines is essential. The various Ansible rules and error codes discussed in this article offer valuable insights into common pitfalls and how to address them.
By understanding and following these best practices, you can significantly improve your Ansible automation workflow:
Optimize Playbooks: Writing well-structured playbooks with clear tasks and conditionals can enhance the readability and maintainability of your automation code.
Use Modules Wisely: Ansible modules are powerful tools, but understanding when to use them and how to pass parameters correctly is crucial for successful automation.
Maintain Role Metadata: Role metadata, defined in the
meta/main.ymlfile, should include accurate information about the role, author, description, and licensing to ensure clarity and consistency.
Structure Roles Properly: Structuring roles according to best practices and separating tasks and handlers can help you build reusable and modular automation.
Handle Tags and Imports: Using tags to categorize tasks and playbooks, and leveraging import statements for better organization, makes managing complex automation more efficient.
Validate Syntax: Regularly checking playbook syntax using the
--syntax-checkoption can help detect and prevent syntax errors that could cause playbook execution failures.
Resolve FQCN Violations: Fully-qualified collection names (FQCNs) are essential for unambiguous task execution. Use the “fqcn” rule to ensure correct namespace usage.
Avoid Implicit Behaviors: Implicit behaviors can lead to subtle bugs and hinder code validation and autocomplete. Using explicit syntax ensures code clarity and correctness.
Certify Collections: Follow Ansible Galaxy guidelines for maintaining collections. Specify the collection version, include changelogs, and add relevant certification tags to enhance discoverability.
Execute Linting: Regularly run Ansible linting tools to identify and address rule violations and ensure your playbooks and collections meet the highest standards.
By adhering to these best practices, you can streamline your Ansible automation workflow, improve code quality, and create efficient and reliable automation solutions. Ansible’s versatility and robust features make it a valuable asset for DevOps, IT automation, and configuration management tasks.
As you continue to work with Ansible, always stay updated with the latest best practices, Ansible releases, and community contributions to make the most of this powerful automation framework.Subscribe to the YouTube channel, Medium, Website, Twitter, and Substack to not miss the next episode of the Ansible Pilot.
Learn the Ansible automation technology with some real-life examples in my
My book Ansible By Examples: 200+ Automation Examples For Linux and Windows System Administrator and DevOps
Want to keep this project going? Please donate