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Apache Airflow timetable driven by a cron expression on the Jalali (Persian / Solar Hijri) calendar.

Project description

airflow-jalali-cron

A custom Apache Airflow timetable that schedules DAGs with an ordinary cron expression whose day-of-month and month fields are read on the Jalali (Persian / Solar Hijri) calendar, in the Asia/Tehran timezone. The default (JalaliCron()) runs at the start of every Jalali month.

Distributing the timetable as an installable package is the approach recommended by Airflow: it gives the timetable class one stable import path that is available to every Airflow component (scheduler, webserver/API server, workers, triggerer, DAG processor), and that same path is what gets serialized into the DAG — which avoids the "timetable not registered / cannot import" errors you hit when loading it straight from the plugins folder.

Installation

Install it into the same Python environment as Airflow (every node that parses or runs DAGs):

pip install airflow-jalali-cron

That single install does two things:

  1. Makes JalaliCron importable in your DAG files.
  2. Auto-registers the plugin with Airflow via the airflow.plugins entry point — so you do not need to copy anything into $AIRFLOW_HOME/plugins.

Usage

from datetime import datetime

from airflow import DAG
from airflow.operators.empty import EmptyOperator

from airflow_jalali_cron import JalaliCron

with DAG(
    dag_id="jalali_monthly_report",
    start_date=datetime(2024, 3, 20),     # ~ start of a Jalali year
    timetable=JalaliCron("0 9 1 * *"),  # 09:00 on the 1st of each Jalali month
    catchup=False,
    tags=["jalali"],
):
    EmptyOperator(task_id="run_monthly_job")

After installing, confirm Airflow sees the plugin:

airflow plugins

You should see jalali_cron_plugin listed with JalaliCron under its timetables.

Schedule syntax

JalaliCron(cron, *, timezone="Asia/Tehran", clamp_overflow_days=True)

The cron is a standard 5-field expression — minute hour day-of-month month day-of-week — supporting *, lists (,), ranges (-) and steps (*/n, a-b/n). What's special:

  • day-of-month and month are interpreted on the Jalali calendar (month 1 = Farvardin … 12 = Esfand).
  • minute / hour are plain Asia/Tehran wall-clock time.
  • day-of-week uses the Iranian week (same numbering as jdatetime): 0=Saturday (shanbe), 1=Sunday, 2=Monday, 3=Tuesday, 4=Wednesday, 5=Thursday, 6=Friday (jome).
Goal cron
Start of every Jalali month (default) 0 0 1 * *
09:30 on the 5th of each month 30 9 5 * *
Every other month (Farvardin, Khordad, …) 0 0 1 */2 *
Every third month (Farvardin, Tir, Mehr, Dey) 0 0 1 */3 *
Noon every Friday 0 12 * * 6
Last day of every month 0 0 31 * *

clamp_overflow_days (default True): a day-of-month larger than a month's length is clamped to the last day — the effective day is min(day, month_length). So 0 0 31 * * fires on the 31st in months 1–6, the 30th in months 7–11, and the 29th/30th in Esfand. Set it to False for standard cron behavior, where an out-of-range day simply never fires in shorter months.

How it works

  • Semantics are interval-based, matching Airflow's CronDataIntervalTimetable: each run covers [this firing, next firing) and is triggered at the end of that interval.
  • All times are computed in Asia/Tehran (configurable via timezone).
  • With catchup=False, the timetable fast-forwards to the current interval instead of backfilling every period since start_date.
  • When both day-of-month and day-of-week are restricted, a day matches if either does (the standard Vixie-cron rule).

Compatibility

  • Airflow: 2.4+
  • Python: 3.9–3.12 (matching Airflow 2.x support)

Development

python -m venv .venv && source .venv/bin/activate
pip install build twine
python -m build          # creates dist/*.whl and dist/*.tar.gz
twine check dist/*

License

MIT

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