afcli 0.1.7

A command-line utility for interacting with Apache Airflow REST API

Airflow CLI Wrapper

A command-line utility for interacting with the Airflow REST API. Compatible with both Airflow 2.9.x (basic auth) and 3.x (JWT auth).

Installation

uv tool install afcli

Or with pip:

pip install afcli

Configuration

Environment Variables

You can set authentication credentials using environment variables:

export AIRFLOW_HOST="airflow.example.com:8080"  # Default: localhost:8080
export AIRFLOW_USER="admin"
export AIRFLOW_PASSWORD="your-password"

Command Line Arguments

Command line arguments override environment variables:

afcli --host airflow.example.com:8080 --user admin --password secret list

Usage

Basic Usage

By default, the tool connects to localhost:8080:

# Using environment variables
afcli list

# Using command line arguments
afcli --user admin --password secret status my_dag

Available Commands

List DAGs

afcli list
afcli list --limit 10  # Show only 10 DAGs
afcli list --all       # Include inactive DAGs

View DAG Status

afcli status <dag_id>

Shows DAG configuration and recent runs with color-coded states.

Pause/Unpause DAG

afcli pause <dag_id>
afcli unpause <dag_id>

Trigger DAG

afcli trigger <dag_id>
afcli trigger <dag_id> --config '{"key": "value"}'

View Tasks and Their Status

afcli tasks <dag_id>
afcli tasks <dag_id> --run-id <specific_run_id>

Shows all tasks with color-coded states:

• 🟢 Green: Success
• 🔴 Red: Failed
• 🟡 Yellow: Running/Retry
• 🔵 Blue: Scheduled
• 🟣 Purple: Skipped

View Task Logs

afcli logs <dag_id> <task_id>
afcli logs <dag_id> <task_id> --run-id <specific_run_id> --try-number 2

Clear Failed Tasks

# Clear all failed tasks in the latest run
afcli clear <dag_id>

# Clear a specific task
afcli clear <dag_id> --task-id <task_id>

# Skip confirmation prompt
afcli clear <dag_id> -y

Examples

# Set credentials via environment
export AIRFLOW_USER=admin
export AIRFLOW_PASSWORD=secret

# List all DAGs
afcli list

# Check status of example_dag
afcli status example_dag

# Trigger example_dag with configuration
afcli trigger example_dag --config '{"date": "2024-01-01"}'

# View all tasks in the latest run
afcli tasks example_dag

# View logs for a specific task
afcli logs example_dag process_data

# Clear all failed tasks
afcli clear example_dag

Authentication

The tool automatically detects and uses the appropriate authentication method:

• Airflow 3.x: Uses JWT (JSON Web Token) authentication. The tool obtains a token from /auth/token and includes it in API requests.
• Airflow 2.9.x: Falls back to basic authentication when JWT endpoint is not available.

Authentication happens transparently - simply provide your credentials and the tool will use the appropriate method.

Development

Installation for Development

# Install with test dependencies
uv pip install -e ".[test]"

Running Tests

# Run all tests
pytest

# Run with coverage
pytest --cov=afcli --cov-report=html

# Run specific test categories
pytest -m unit         # Unit tests only
pytest -m integration  # Integration tests only

# Use Makefile commands
make test              # All tests
make test-cov          # With coverage report
make test-unit         # Unit tests only