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Telegram Async Chatbot Framework

A simply-complex chatbot to cater many needs at one place. This simple being can help you feed latest information out there on internet and can act according to you will.

Architecture

This app is divided in many very loosely coupled components. Some terms related to this are:

  • Interaction/Network Layer: Layer that can exchange the data/messages with Telegram and thus user and then pass the received message to the internal processing backend.

  • Interaction Manager: Receives messages from interaction layer and determines which service does this message belong.

  • Services: Top level functionality provided by bot are called Services. These consists of modules that are no where related to each other.

    Every Service consists of two components:

    • Manager: Registers the services with the Interaction Manager and exchanges the messages sent by it and passes them to the backend framework. All the managers are inherited from base_service_manager

    • Backend Framework: Final end point of messages. It is processed here and then the relevant response is sent back to te user.

    Some predefined services include

    • Publisher service: This part of bot works as the PUB-SUB system where all the publishers are the, well, Publishers and all the users are Subscribers. Publishers publish data on the channels and all the receivers receive that data.

      New sources for publishing can be easily defined by defining a class inheriting the BasePublisher.

  • Actions: There are the basic unit User-Bot interaction. The bot will issue the actions will result in some output and actions following it.

    Actions can be considered as a dynamic directed cyclic graph.

Actions flow example

made using draw.io

Tech Stack:

The bot is designed to work asynchronously.

  • The server is built upon aiohttp.
  • Whenever a message is arrived, new job is scheduled in an aiojobs scheduler.
  • Messages are sent to the user in an aiohttp ClientSession.

To utilize the benefits of asynchronous architecture, make sure you write you code using that framework only.

The complete architecture can be represented as:

Bot Architecture

made using draw.io

Storage Manager Base Class shown in the diagram is the class that will manage the database interaction. It will provide methods for storing and retrieving data from database.

TODO

  • Add database methods for Async database interaction
  • Add Sub-modules in Interaction layer for reusing the architecture for multiple messenger services

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Easy and extensible bot framework

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