hello

Great—you’ve done the first step by installing Apache Airflow using:

pip install apache-airflow

Here’s a clear step-by-step guide on what you need to do next to test your Airflow task using airflow tasks test:

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✅ Step 1: Initialize Airflow Database

In your terminal:

airflow db migrate

✅ This creates the necessary metadata database in AIRFLOW_HOME (default: ~/airflow).

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✅ Step 3: Create Your DAG File

• Create a folder:

  mkdir -p ~/airflow/dags

• Save your DAG file, e.g., ~/airflow/dags/my_dag.py:

from airflow import DAG
from airflow.operators.python import PythonOperator
from datetime import datetime

def hello_world():
    print("Hello from Airflow!")

with DAG(
    dag_id='my_test_dag',
    start_date=datetime(2023, 1, 1),
    schedule_interval=None,
    catchup=False,
    tags=['example'],
) as dag:

    task1 = PythonOperator(
        task_id='say_hello',
        python_callable=hello_world,
    )

✅ Key:

• DAG id: my_test_dag
• Task id: say_hello

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✅ Step 4: Test Your Task Without Running Scheduler

Run this in the terminal:

airflow tasks test my_test_dag say_hello 2024-07-04

• You should see Hello from Airflow! printed in the logs.
• No scheduler, no webserver needed!

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✅ Common Troubleshooting:

Issue	Fix
airflow: command not found	Try pip show apache-airflow to check install location; check PATH
DAG not found	Make sure your my_dag.py is in ~/airflow/dags
ModuleNotFoundError	Install missing Python packages used in your task

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✅ To recap what you need:

1. airflow db migrate
2. Put your DAG in ~/airflow/dags
3. Run airflow tasks test dag_id task_id execution_date

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👉 If you want, send me your exact task code and I can help you write the test command and check it step by step.