Skip to content

Latest commit

 

History

History
86 lines (59 loc) · 2.48 KB

README.md

File metadata and controls

86 lines (59 loc) · 2.48 KB

Anketa Bot

Anketa Bot is a Telegram bot that allows users to fill out a questionnaire and store their data in a database. The bot is built using the aiogram library and SQLAlchemy ORM.

Features

  • User questionnaire with multiple questions
  • Data storage in a SQLite database using SQLAlchemy ORM
  • Notification of admins when a new questionnaire is submitted or edited
  • Throttling middleware to prevent spamming
  • Logging of errors to a file

Installation

  1. Clone the repository:
git clone https://github.com/potatoenergy/Anketa_bot.git
  1. Install the required dependencies:
apt update
apt upgrade -y
apt install virtualenv python3 python3-venv python3-virtualenv python3-pip -y
virtualenv venv
source venv/bin/activate
pip3 install -r requirements.txt
  1. Create a .env file with the following variables:
BOT_TOKEN=<your_bot_token>
ADMINS=<admin_user_id_1>,<admin_user_id_2>,...
  1. Run the bot:
python3 app.py

Usage

The bot has a single command: /start. When a user sends this command, the bot will greet them and display a menu with the option to fill out the questionnaire.

When a user fills out the questionnaire, their data is stored in a SQLite database. If the user has already filled out the questionnaire, they will be asked if they want to fill it out again.

Admins will receive a notification when a new questionnaire is submitted or edited.

Customization

To add new questions to the questionnaire, follow these steps:

  1. Add a new state to the states/data_collection.py file:
class Form(StatesGroup):
    ...
    act_new_question = State()
  1. Add a new query to the models.py file:
class People(Base):
    ...
    act_new_question = Column(String, nullable=True, default=None)
  1. Add a new message handler to the handlers/menu.py file:
@dp.message(data_collection.Form.act_new_question)
async def process_new_question(message: types.Message, state: FSMContext):
    await state.update_data(act_new_question=message.text)
    # Add code to handle the user's response to the new question
  1. Update the save_data_and_notify_admins function in the handlers/menu.py file to save the user's response to the new question to the database and include it in the notification message to admins.

Credits

This bot was created by ChebupelAnfica and edited by Ponfertato for the Potato Energy project.