CI/CD Pipeline Toolkit

Metadata

• Name: ci-cd-pipeline-toolkit
• Display Name: CI/CD Pipeline Toolkit | CI/CD流水线工具包
• Description:
• EN: Automated CI/CD pipeline management supporting GitHub Actions, GitLab CI, and Jenkins. Automate build, test, and deployment workflows.
• ZH: 自动化CI/CD流水线管理，支持GitHub Actions、GitLab CI和Jenkins。自动化构建、测试和部署工作流。
• Version: 1.0.0
• Author: Kimi Claw
• Tags: cicd, devops, github-actions, gitlab-ci, jenkins, pipeline, automation, deployment
• Category: DevOps
• Icon: 🔄

Capabilities

Actions

github_actions_workflow_create

Create GitHub Actions workflow file

• workflow_name: Workflow name (string, required)
• trigger_events: Trigger events (array, required) - push, pull_request, schedule, workflow_dispatch
• jobs: Job configurations (object, required)
• build: Build job steps
• test: Test job steps
• deploy: Deploy job steps
• runs_on: Runner type (string) - ubuntu-latest, windows-latest, macos-latest

gitlab_ci_config_generate

Generate GitLab CI/CD configuration

• stages: Pipeline stages (array, required) - build, test, deploy
• jobs: Job definitions (object, required)
• variables: Environment variables (object)
• cache_paths: Cache paths (array)

jenkins_pipeline_create

Create Jenkins pipeline script

• pipeline_type: Type (string) - declarative, scripted
• stages: Stage definitions (array, required)
• agent: Agent label (string)
• tools: Required tools (object)

pipeline_status_check

Check CI/CD pipeline execution status

• platform: Platform (string, required) - github, gitlab, jenkins
• pipeline_id: Pipeline/Run ID (string, required)
• repository: Repository name (string, required)

deployment_trigger

Trigger deployment to environment

• environment: Target environment (string, required) - dev, staging, production
• version: Deployment version (string, required)
• platform: Deployment platform (string) - k8s, docker, aws, azure

Requirements

• Python 3.8+
• PyYAML >= 6.0
• Requests >= 2.28.0
• python-jenkins >= 1.8.0 (optional, for Jenkins API)

Examples

GitHub Actions Workflow

from cicd_toolkit import GitHubActionsWorkflow

# Create Python CI workflow
workflow = GitHubActionsWorkflow("python-ci")
workflow.add_trigger("push", branches=["main", "dev"])
workflow.add_trigger("pull_request")

# Add jobs
workflow.add_job("test", {
    "runs-on": "ubuntu-latest",
    "steps": [
        {"uses": "actions/checkout@v4"},
        {"uses": "actions/setup-python@v4", "with": {"python-version": "3.11"}},
        {"name": "Install dependencies", "run": "pip install -r requirements.txt"},
        {"name": "Run tests", "run": "pytest"}
    ]
})

workflow.save(".github/workflows/python-ci.yml")

GitLab CI Configuration

from cicd_toolkit import GitLabCIConfig

# Generate CI config
config = GitLabCIConfig()
config.add_stage("build")
config.add_stage("test")
config.add_stage("deploy")

config.add_job("build_app", {
    "stage": "build",
    "script": ["npm install", "npm run build"],
    "artifacts": {"paths": ["dist/"]}
})

config.add_job("test_app", {
    "stage": "test",
    "script": ["npm run test"],
    "needs": ["build_app"]
})

config.save(".gitlab-ci.yml")

Scripts

• scripts/github_workflow_generator.py: GitHub Actions工作流生成器
• scripts/gitlab_ci_generator.py: GitLab CI配置生成器
• scripts/jenkins_pipeline_generator.py: Jenkins流水线生成器
• scripts/pipeline_monitor.py: 流水线监控工具

Installation

pip install -r requirements.txt

Usage

# Generate GitHub Actions workflow
python scripts/github_workflow_generator.py --name python-ci --type pytest

# Generate GitLab CI config
python scripts/gitlab_ci_generator.py --stages build,test,deploy

# Monitor pipeline status
python scripts/pipeline_monitor.py --platform github --repo owner/repo

License

MIT License