airflow-custom-timetable-plugin 0.1.1

Universal Apache Airflow plugin with custom timetable support

Airflow Custom Timetable Plugin

Universal custom timetable plugin for Apache Airflow with support for multiple schedule formats.

Installation

pip install airflow-custom-timetable-plugin

From git

pip install git+https://github.com/0xMihalich/airflow-custom-timetable-plugin.git

Supported Schedule Formats

Format	Example	Description
hh:mm	"08:00"	Daily at specified time
dd hh:mm	"15 08:00"	Monthly on specified day and time
mm.dd hh:mm	"01.01 00:00"	Yearly on specified month, day and time

Usage

from airflow import DAG
from airflow_custom_timetable_plugin import ExactTimetable

with DAG(
    dag_id="my_dag",
    schedule=ExactTimetable(
        schedules=[
            "08:00",         # Every day at 08:00
            "20:00",         # Every day at 20:00
            "1 12:00",       # 1st day of every month at 12:00
            "01.01 00:00",   # January 1st at 00:00
        ]
    ),
    start_date=datetime(2024, 1, 1),
    catchup=False,
    tags=["example"],
) as dag:
    ...

Examples

Daily schedules only

schedule = ExactTimetable(
    schedules=["02:00", "06:00", "10:00", "14:00", "18:00", "22:00"]
)

Mixed schedules

schedule = ExactTimetable(
    schedules=[
        "08:00",         # Daily at 8 AM
        "1 10:00",       # 1st of each month at 10 AM
        "15 14:00",      # 15th of each month at 2 PM
        "12.31 23:59",   # December 31st at 23:59
    ]
)

How It Works

The plugin parses schedule strings into structured entries and computes the next valid run time by finding the earliest future match across all configured schedules.

For the first automated run, the data interval starts and ends at the same time. For subsequent runs, the interval starts from the end of the previous interval, ensuring continuous data coverage.

Requirements

• Python >= 3.10
• apache-airflow >= 2.4.3
• pendulum >= 3.0.0

License

See the LICENSE file for details.

Author

0xMihalich [e-mail]