How to Mock a CI Pipeline with Build, Test, and Deploy Stages in Python

import time
import random
from dataclasses import dataclass


@dataclass
class StageResult:
    name: str
    status: str
    duration: float


def run_stage(name: str, success_chance: float = 0.9) -> StageResult:
    """Simulate a pipeline stage with random success/failure."""
    start = time.time()
    time.sleep(random.uniform(0.05, 0.2))  # Simulate work
    status = "passed" if random.random() < success_chance else "failed"
    return StageResult(name, status, round(time.time() - start, 2))


def run_pipeline(build_chance: float = 0.95, test_chance: float = 0.9,
                 deploy_chance: float = 0.85) -> list[StageResult]:
    """Execute the CI pipeline: build -> test -> deploy (mock)."""
    results = []
    build = run_stage("build", build_chance)
    results.append(build)
    if build.status == "failed":
        return results  # Stop pipeline on build failure

    tests = run_stage("test", test_chance)
    results.append(tests)
    if tests.status == "failed":
        return results  # Stop pipeline on test failure

    deploy = run_stage("deploy", deploy_chance)
    results.append(deploy)
    return results


if __name__ == "__main__":
    random.seed(42)  # Deterministic output for demo
    for result in run_pipeline():
        print(f"{result.name}: {result.status} ({result.duration}s)")