task-pipeliner

A powerful workflow orchestration tool with condition-based execution and beautiful CLI output

Version: 0.3.10

task-pipeliner is a modern workflow orchestration tool that lets you define, coordinate, and execute complex workflows using simple YAML or JSON files. With conditional execution, parallel tasks, interactive prompts, and beautiful terminal output, it's perfect for build scripts, deployment workflows, and CI/CD pipelines. This project is still in beta; the interface may change slightly.

README-Language-Map KR [한국어 버전] / EN [English Version]

📖 For detailed documentation, please refer to the official documentation!
This README provides a quick start and basic usage. For DSL syntax, advanced features, examples, and more, please visit the documentation site.

🔗 Resources

Documentation & Tools

• 📖 Official Documentation - Complete DSL reference, guides, examples, and all feature descriptions ⭐
• 🎨 Visual Generator - Create workflows visually in your browser

Repositories & Package Managers

• 💻 GitHub - Source code and issue tracking
• 📦 npm - Package on npm registry
• 🍺 Homebrew - Homebrew tap for macOS/Linux
• 🪟 Scoop - Scoop bucket for Windows

CLI Commands

💡 For detailed CLI command descriptions, see the CLI Reference documentation.

Project setup (recommended for new projects):

tp setup   # Create tp/, tp/workflows, tp/schedules and add 2 example workflows + 2 example schedules (echo-based; includes choose, when, profiles, prompt)

Run from your project root. Creates tp/workflows/ and tp/schedules/; example workflows demonstrate choose, when, profiles, and prompt; example schedules include cron and profile usage. Does not overwrite existing files.

Run Workflows:

tp run workflow.yaml        # Run a workflow
tp run                      # Select and run a workflow from nearest tp/workflows directory
tp run workflow.yaml --profile Test   # Run with profile (skip choose/prompt for variables set in profile)
tp run workflow.yaml -p Test         # Short form for profile
tp run workflow.yaml --silent  # Run in silent mode (suppress all console output)
tp run workflow.yaml -s     # Short form for silent mode

Open Resources:

tp open generator  # Open visual generator
tp open docs       # Open documentation

History Management:

tp history         # View workflow execution history
tp history show    # Select and view a specific history
tp history remove   # Remove a specific history
tp history remove-all # Remove all histories

Workflow Scheduling:

tp schedule        # View all schedules (same as tp schedule list)
tp schedule list   # List schedules with daemon status (each schedule shown as a card: cron, human "when" description, next run, etc.)
tp schedule add schedules.yaml  # Add schedules from a file; if no file given, select from nearest tp/schedules
tp schedule add    # Select a schedule file from nearest tp/schedules directory
tp schedule remove # Remove a schedule; after removal, the removed schedule is shown in the same card format as list
tp schedule remove-all # Remove all schedules
tp schedule toggle # Enable/disable a schedule; after toggle, shows clear ENABLED/DISABLED state (bold, colored) and the schedule card
tp schedule start  # Start scheduler in foreground mode
tp schedule start -d  # Start scheduler daemon in background
tp schedule stop   # Stop the scheduler daemon
tp schedule status # Check daemon status (real-time mode; Ctrl+C exits the view only, daemon keeps running)

After tp schedule add, toggle, or remove, the affected schedule(s) are displayed in the same card layout as tp schedule list (cron expression, human-readable “when” description, next run, enabled state). Toggle result emphasizes ENABLED or DISABLED so the new state is obvious.

Schedule status (live view) — tp schedule status shows the daemon and all schedules in a scrollable, auto-updating view. Cron times include timezone (UTC or local). Use ↑/↓ or PgUp/PgDn to scroll when there are many schedules.

Data & upgrades:

tp clean   # Remove all data in ~/.pipeliner (schedules, daemon state, workflow history)

After upgrading to a new version, if you see compatibility issues (e.g. schedules or daemon not working), run tp clean to reset local data. The daemon is stopped first if it is running.

✨ Features

💡 For detailed descriptions and examples of each feature, see the DSL Reference documentation.

• Condition-based execution - Run steps based on file existence, user choices, environment variables, and more

• Parallel execution - Run multiple tasks simultaneously

• Interactive prompts - Ask users for input and choices during execution

• YAML & JSON support - Declarative pipelining in YAML & JSON formats

• Variable substitution - Use {{variables}} throughout your workflows

• Stdout capture - Extract values from command output into variables using various capture strategies (regex, JSON/YAML, key-value, etc.)

• Profiles - Run workflows non-interactively with pre-set variables (tp run --profile <name>); choose/prompt steps are skipped when the variable is set in the profile

• Execution history - Track and review past workflow executions with detailed step-by-step records

• Workflow scheduling - Schedule workflows to run automatically at specified times using cron expressions

🚀 Quick Start

Installation

Homebrew (macOS/Linux)

Install using Homebrew for the easiest setup on macOS and Linux:

# Add the tap (repository)
brew tap racgoo/task-pipeliner

# Install task-pipeliner
brew install task-pipeliner

After installation, you can run:

task-pipeliner run workflow.yaml
# or use the short alias
tp run workflow.yaml

Verify installation:

task-pipeliner --version
# or
tp --version

Updating:

# Update Homebrew's package registry first
brew update

# Then upgrade task-pipeliner
brew upgrade task-pipeliner

If you see compatibility issues after an upgrade (e.g. schedules or daemon), run tp clean to reset ~/.pipeliner data (schedules, daemon state, history).

Scoop (Windows)

Install using Scoop on Windows:

# Add the bucket (repository)
scoop bucket add task-pipeliner https://github.com/racgoo/scoop-task-pipeliner

# Install task-pipeliner
scoop install task-pipeliner

After installation, you can run:

task-pipeliner run workflow.yaml
# or use the short alias
tp run workflow.yaml

Verify installation:

task-pipeliner --version
# or
tp --version

Updating:

scoop update task-pipeliner

If you see compatibility issues after an upgrade, run tp clean to reset ~/.pipeliner data.

Global Installation (npm)

Install globally using npm to use task-pipeliner or tp commands directly:

npm install -g task-pipeliner
# or
pnpm add -g task-pipeliner

After global installation, you can run:

task-pipeliner run workflow.yaml
# or use the short alias
tp run workflow.yaml

Verify installation:

task-pipeliner --version
# or
tp --version

Project Installation (Development)

Install as a dev dependency to use with npx:

npm install -D task-pipeliner
# or
pnpm add -D task-pipeliner

After project installation, run with:

npx task-pipeliner run workflow.yaml
# or use the short alias
npx tp run workflow.yaml

Basic Usage

💡 For more examples and advanced usage, see the Getting Started guide and Examples documentation.

Create a workflow.yaml or workflow.json file:

YAML Format (workflow.yaml):

name: My Workflow

steps:
  - run: 'echo "Hello, World!"'
  
  - choose:
      message: "What would you like to do?"
      options:
        - id: build
          label: "Build project"
        - id: test
          label: "Run tests"
      as: action
  
  - when:
      var:
        action: build
    run: 'npm run build'
  
  - when:
      var:
        action: test
    run: 'npm test'
  
  # Extract values from command output
  - run: 'cat package.json'
    captures:
      - json: "$.version"
        as: version
  - run: 'echo "Version: {{version}}"'

JSON Format (workflow.json):

{
  "name": "My Workflow",
  "steps": [
    {
      "run": "echo \"Hello, World!\""
    },
    {
      "choose": {
        "message": "What would you like to do?",
        "options": [
          {
            "id": "build",
            "label": "Build project"
          },
          {
            "id": "test",
            "label": "Run tests"
          }
        ],
        "as": "action"
      }
    },
    {
      "when": {
        "var": {
          "action": "build"
        }
      },
      "run": "npm run build"
    },
    {
      "when": {
        "var": {
          "action": "test"
        }
      },
      "run": "npm test"
    }
  ]
}

Run it:

task-pipeliner run workflow.yaml
# or
task-pipeliner run workflow.json
# or use the short alias
tp run workflow.yaml
tp run workflow.json

# Run in silent mode (suppress all console output)
tp run workflow.yaml --silent
# or use the short form
tp run workflow.yaml -s

Using the tp Directory (Recommended):

The recommended project layout uses a tp directory with two subdirectories:

• tp/workflows/ – workflow files (YAML or JSON). When you run tp run without a file, task-pipeliner finds the nearest tp directory and lets you choose a workflow from tp/workflows/.
• tp/schedules/ – schedule files (YAML or JSON). When you run tp schedule add without a file path, you can select a schedule file from the nearest tp/schedules/.

Quick setup: Run tp setup from your project root to create tp/, tp/workflows/, and tp/schedules/ and to add two example workflows and two example schedule files (echo-based; examples include choose, when, profiles, prompt, and schedule profile usage). Existing files are not overwritten.

# Option 1: Use tp setup (creates tp/workflows and tp/schedules + examples)
tp setup

# Option 2: Create the structure manually
mkdir -p tp/workflows tp/schedules
mv workflow.yaml tp/workflows/

# Run without specifying a file - interactive selection from tp/workflows
tp run

When you run tp run without a file:

1. The nearest tp directory is found (current directory or any parent).
2. All workflow files (.yaml, .yml, .json) in tp/workflows/ are listed.
3. An interactive, searchable menu is shown: type to filter, use arrow keys (↑↓) to move, Enter to select and run.

The menu shows both the filename and the workflow name from the YAML/JSON for easy identification.

Silent Mode: The --silent (or -s) flag suppresses all console output during workflow execution. This is useful for:

• CI/CD pipelines where you only need exit codes
• Automated scripts that don't need verbose output
• Reducing noise in logs

Note: Silent mode suppresses all output including command output, step headers, and error messages. The workflow still executes normally and returns appropriate exit codes.

📚 Learn More

This README covers only the basics. For more detailed information, see the following documentation:

• Getting Started - From installation to your first workflow
• DSL Reference - Complete syntax guide
  • Workflow Structure
  • Step Types
  • Conditions
  • Variables
  • Profiles
• CLI Reference - Detailed descriptions of all CLI commands
• Examples - Real-world use cases and examples
• Execution History - Managing past execution records
• Workflow Scheduling - Automatic execution with cron

🤝 Contributing

Contributions are welcome! Please leave an ISSUE.

📄 License

Copyright (c) 2026 racgoo

📧 Contact

For inquiries, please email [email protected]