cloudbuild-validator 0.1.1

A robust and extensible tool for validating Google Cloud Build YAML configuration files against schema specifications and custom rules.

Google Cloud Build YAML Validator

A robust and extensible tool for validating Google Cloud Build YAML configuration files against schema specifications and custom rules. By providing a comprehensive set of validation checks and the ability to extend its functionality, this program helps ensure the correctness and consistency of your Cloud Build configuration files, potentially saving time and resources in your CI/CD pipeline

Features

The Cloud Build YAML Validator performs comprehensive checks on your configuration files:

• YAML Syntax: Ensures the file is a valid YAML document.
• Schema Compliance: Validates the YAML structure against Cloud Build specifications.
• Duplicate Step IDs: Identifies duplicate step IDs within the configuration file.
• Step Dependencies: Verifies that all waitFor references point to valid step IDs.
• Substitution Variables: Checks for unreferenced substitution variables and ensures they start with an underscore (_).
• Custom Validations: Easily extendable with additional custom validation rules.

Installation

You can install the Cloud Build YAML Validator using pip, uv, or your preferred Python package manager:

git clone https://github.com/alimasri/google-cloudbuild-yaml-validator
cd google-cloudbuild-yaml-validator
pip install -e .

Usage

Command Line Interface

The validator can be run from the command line with the following syntax:

usage: cloudbuild-validator [-h] [-s SCHEMA] file

positional arguments:
  file                  Path to the content file to validate

options:
  -h, --help            show this help message and exit
  -s SCHEMA, --schema SCHEMA
                        Path to the schema file to validate against

Example

cloudbuild-validator /path/to/cloudbuild.yaml

Programmatic Usage

You can also use the validator as a Python library:

from cloudbuild_validator.core import CloudbuildValidator

validator = CloudbuildValidator(speficifactions_file="/path/to/specifications/file.yaml")
validator.validate_file('/path/to/cloudbuild.yaml')

Specifications

The validator enforces schema specifications for Google Cloud Build YAML configuration files, based on the official Cloud Build documentation. Users can provide a custom schema file using the -s or --schema option. The default schema file is located at src/cloudbuild_validator/data/cloudbuild-specifcations.yaml, which can be used as a reference for creating custom schemas.

By adhering to this schema, users ensure their Cloud Build configuration files are valid and correctly interpreted by the Cloud Build service. Example modifications could include adding organization-specific patterns for image names, environment variables, or other configuration options.

Extending the Validator

Adding New Validations

Method 1: Extending the default validations

The validator automatically discovers and executes all Validator subclasses in the validators.py file. To add a new validation rule:

1. Create a new class that inherits from cloudbuild_validator.validators.Validator
2. Implement the validate method

The validate method should accept a dictionary representing the Cloud Build configuration file and raise a cloudbuild_validator.exceptions.CloudBuildValidationError if the validation fails.

Example

class StepIdPrefixValidator(Validator):
    """Ensures that step IDs start with a specific prefix."""
    
    def __init__(self, prefix: str):
        super().__init__()
        self.prefix = prefix

    def validate(self, content: dict) -> None:
        for step in content.get('steps', []):
            step_id = step.get('id', '')
            if not step_id.startswith(self.prefix):
                raise CloudBuildValidationError(f"Step ID '{step_id}' does not start with the expected prefix '{self.prefix}'.")

Method 2: Using the add_validator method

The CloudbuildValidator class provides an add_validator method that allows users to add custom validation rules. This method accepts a Validator subclass and adds it to the list of validators that will be executed during the validation process.

Example

from cloudbuild_validator import CloudbuildValidator
from cloudbuild_validator.validators import Validator

class CustomValidator(Validator):
    def validate(self, content: dict) -> None:
        # Custom validation logic here
        pass

validator = CloudbuildValidator()
validator.add_validator(CustomValidator())

Contributing

Contributions are welcome! Please feel free to submit a Pull Request. For major changes, please open an issue first to discuss what you would like to change.

License

This project is distributed under the MIT License. See the LICENSE file for more information.