Metadata-Version: 2.4
Name: pipestep
Version: 0.1.4
Summary: Interactive CI pipeline debugger. Step through GitHub Actions workflows locally with Docker.
Project-URL: Homepage, https://github.com/photobombastic/pipestep
Project-URL: Repository, https://github.com/photobombastic/pipestep
Project-URL: Issues, https://github.com/photobombastic/pipestep/issues
Author: Maxwell Schilling
License-Expression: MIT
License-File: LICENSE
Keywords: ci,debugger,devtools,docker,github-actions,pipeline
Classifier: Development Status :: 3 - Alpha
Classifier: Environment :: Console
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.13
Classifier: Topic :: Software Development :: Build Tools
Classifier: Topic :: Software Development :: Debuggers
Classifier: Topic :: Software Development :: Testing
Requires-Python: >=3.11
Requires-Dist: docker<9,>=7.0
Requires-Dist: pyyaml<7,>=6.0
Requires-Dist: rich
Requires-Dist: textual<2,>=0.70
Provides-Extra: dev
Requires-Dist: pytest; extra == 'dev'
Description-Content-Type: text/markdown

# PipeStep

**A debugger for your CI pipeline.**

Step through GitHub Actions workflows locally with Docker. Pause before each step, inspect the environment, drop into a shell, modify variables, re-run failed steps — without pushing and waiting.

<p align="center">
  <img src="demo.gif" alt="PipeStep demo" width="700">
</p>

## The Problem

The CI debugging loop:

1. Commit a fix
2. Push to GitHub
3. Wait 2-5 minutes for the runner
4. Watch it fail
5. Read the logs, guess what went wrong
6. Repeat

A single debugging session eats 30-60 minutes. PipeStep lets you step through the pipeline locally, inspect the container at each stage, and fix issues before you push.

## Install

```bash
# Prerequisites: Docker Desktop running, Python 3.11+
pip install pipestep
# or from source:
python3.11 -m venv .venv
source .venv/bin/activate
pip install -r requirements.txt

# Pre-pull the base image
docker pull ubuntu:22.04
```

Requires Python 3.11+ and Docker Desktop running.

## Quick Start

```bash
# Point it at any GitHub Actions workflow in your project
pipestep run .github/workflows/ci.yml
# or from source:
python cli.py run sample_workflow.yml
```

## Controls

| Key | Action |
|-----|--------|
| **R** | Run the current step (or run local equivalent for action steps) |
| **S** | Skip the current step |
| **I** | Shell into the container (interactive bash) |
| **B** | Toggle breakpoint on a step |
| **N** | Auto-run to the next breakpoint |
| **Q** | Quit and cleanup containers |
| Arrow keys | Navigate step list |

## Action Steps (`uses:`)

PipeStep pauses at action steps instead of silently skipping them. For common actions, it provides local equivalents that you can run with **R**:

| Action | Local Equivalent |
|--------|-----------------|
| `actions/checkout@*` | Workspace already mounted via Docker volume |
| `actions/setup-node@*` | Installs Node.js via apt |
| `actions/setup-python@*` | Installs Python via apt |
| `actions/setup-go@*` | Installs Go via apt |
| `actions/setup-java@*` | Installs Java via apt |
| `actions/cache@*` | No-op (caching not needed locally) |

For unknown actions, press **I** to shell into the container and set up manually, or **S** to skip.

## When a Step Fails

PipeStep pauses and lets you:

- **Shell in** to the exact container where it failed — same filesystem, same env vars
- **Retry** the step after making changes inside the container
- **Skip** past it and continue the pipeline
- **Quit** and clean up

No more guessing from log output. You're inside the environment where it broke.

## Session Recording

Every debugging session is automatically recorded. When you quit, PipeStep saves a bash script capturing every step you ran, skipped, or shelled into. Use these recordings to reproduce debugging sessions or as the basis for tests.

## How It Works

1. Parses your GitHub Actions YAML
2. Maps `runs-on` to a local Docker image (e.g. `ubuntu-latest` → `ubuntu:22.04`)
3. Creates a container and executes each step sequentially
4. Pauses between steps so you can inspect, modify, or debug

## PipeStep vs `act`

| | PipeStep | act |
|---|---|---|
| **Execution model** | Step-through with pause/inspect | Batch run |
| **Shell into container** | Yes, mid-pipeline | No |
| **Breakpoints** | Yes | No |
| **Re-run failed steps** | Yes | Restart entire pipeline |
| **Primary use case** | Debugging | Running locally |

[`act`](https://github.com/nektos/act) is great for running pipelines locally. PipeStep is for when things go wrong and you need to figure out why.

## Limitations

PipeStep runs your `run:` steps in a local Docker container. It does **not** replicate the full GitHub Actions runtime:

- **GitHub Actions (`uses:`)** are detected — best-effort equivalents for common actions, but no full execution
- **Secrets and `${{ secrets.* }}`** are not available — replace them with local env vars or hardcode test values in the container
- **Service containers** (`services:`) are not started
- **Matrix builds** (`strategy.matrix`) are not expanded — pick one combination and test it
- **Artifact upload/download** actions won't run
- **`GITHUB_TOKEN`** and GitHub API access are not provided
- **Runner OS** is mapped to stock Docker images (`ubuntu-latest` → `ubuntu:22.04`) — pre-installed tools on GitHub's runners may be missing
- **Apple Silicon** — Docker runs x86 Linux images through emulation on M-series Macs, which is noticeably slower
- **`if:` conditionals** are not evaluated (all steps are presented)
- **Shell** is always `bash` (no `pwsh` or custom shells)

These are real constraints. PipeStep's value is debugging your **shell commands** (`run:` steps) in the exact container environment — not emulating the full GitHub Actions platform. For full local runs, use [`act`](https://github.com/nektos/act).

## Contributing

```bash
git clone https://github.com/photobombastic/pipestep.git
cd pipestep
python3.11 -m venv .venv
source .venv/bin/activate
pip install -e ".[dev]"

# Run tests
pytest
```

## License

[MIT](LICENSE)
