An image generated by DALL-E that looks like the Paris mosque ..

Context

As a Muslim, it is obligatory to pray 5 times a day in different prayers at specific times:

• Fajr
• Dhouhr
• Asr
• Mahgrib
• Isha

as well as performing the Friday group prayer (Jumua) at the mosque every week.

To know the starting time of prayer, I had two solutions :

• there are many applications on Google Store/Apple Store. However, some of these applications had wrong prayer times, and I didn't want my data leaked by something other than third-party applications, so I decided not to use them anymore.
• to go through websites, multiply the tabs within my smartphone and have to do the google search every time. This solution is boring.

I discovered the Mawaqit association. This association aims to provide users with quality information through a website/app.

As an avid telegram user, I decided to do this project to access this quality information and condense it within a telegram (RGPD-friendly) group. This solution will facilitate the daily life of people (telegram fans like me) living in the Paris area and referring to the Paris mosque.

You will receive a daily message using my telegram bot with all the following information.

• the exact times of the five obligatory prayers
• exact times of the 2 Friday prayer slots (first session: time_jumua_1 and second session: time_jumua_2)
• iqama time (iqama_difference >= 0): how many minutes between the adhan (the call to prayer by the Imam and the beginning of the prayer)
• shuruq : additional prayer in the morning after the Fajr prayer (but highly recommended)
• different duas in French and Arabic (when arriving at the mosque, after the adhan ..)

Technical Overview

Workflow

Data Modelling

• day and name_prayers are the IDs columns

Setup local

git clone -b enonce https://github.com/MohamedBsh/an-humble-suggestion-of-a-telegram-bot-from-the-mawaqit-app-prayers-times.git

sudo chmod +x ./install.sh
source ./install.sh

airflow standalone

UI Airflow : localhost:8080

If needed, in airflow/airflow.cfg modify :

load_examples = False

Setup a database

• Install a local postgres instance(for macos): https://www.postgresql.org/download/macosx/

• You can install a software allowing to visualize / query the data in a database (e.g DBeaver, Datagrip, pgadmin ..)

• Create a database, and a username/password

• GRANT ALL ON schema public TO username;

Create an .env file :

export DB_HOST=XXX
export DB_PORT=XXX
export DB_NAME=XXX
export DB_USER=XXX
export DB_PASSWORD=XXX 

Airflow variables

In UI Airflow, you can create Variables in Admin > Variables. We use it for our scheduled_telegram_notification_midnight dag. Create two Variables 'TELEGRAM_BOT_TOKEN' and 'TELEGRAM_CHAT_ID'.

To get this information, download Telegram and chat with 'BotFather' to create the bot.