Building a CI/CD Pipeline Tool in Go


Developing a custom CI/CD pipeline tool in Go can help automate the processes of building, testing, and deploying applications. This project involves setting up pipelines, triggering builds, running tests, and deploying applications.

Step-by-Step Guide

Define the Pipeline Structure:

Create a structure to define pipeline stages, jobs, and steps.

type Step struct {
    Name string
    Command string
}

type Job struct {
    Name string
    Steps []Step
}

type Pipeline struct {
    Name string
    Jobs []Job
}

Parse Configuration:

Write a function to parse a pipeline configuration file (e.g., YAML or JSON).

import (
    "encoding/json"
    "io/ioutil"
    "log"
)

func parsePipelineConfig(filePath string) (*Pipeline, error) {
    file, err := ioutil.ReadFile(filePath)
    if err != nil {
        return nil, err
    }

    var pipeline Pipeline
    err = json.Unmarshal(file, &pipeline)
    if err != nil {
        return nil, err
    }

    return &pipeline, nil
}

Execute Steps:

Implement a function to execute the steps defined in the pipeline.

import (
    "os/exec"
)

func executeStep(step Step) error {
    cmd := exec.Command("sh", "-c", step.Command)
    output, err := cmd.CombinedOutput()
    if err != nil {
        return err
    }
    log.Println(string(output))
    return nil
}

Run the Pipeline:

Create a function to run the entire pipeline.

func runPipeline(pipeline *Pipeline) error {
    for _, job := range pipeline.Jobs {
        log.Printf("Starting job: %s", job.Name)
        for _, step := range job.Steps {
            log.Printf("Executing step: %s", step.Name)
            err := executeStep(step)
            if err != nil {
                return err
            }
        }
    }
    return nil
}

Main Function:

Combine everything in the main function.

func main() {
    pipeline, err := parsePipelineConfig("pipeline.json")
    if err != nil {
        log.Fatal(err)
    }

    err = runPipeline(pipeline)
    if err != nil {
        log.Fatal(err)
    }

    log.Println("Pipeline execution completed successfully")
}