1. Install Pipenv at a system level

   If you are not using it for your projects, you should. Pipenv is a mix between pip and virtualenv (it uses both of them below) and basically manages everything. You can probably find Pipenv packaged, check their webpage for installation steps.

2. Install dependencies

   In a command line, navigate to the current project directory and install the dependencies by running one of the commands below.

   • To use the bot: pipenv install
   • To develop: pipenv install -d

   If these steps don't work, please report it so that I can update these instructions with relevant steps.

3. Install mostbot as a package

   Run the command python setup.py develop. You can also do python setup.py install, but it's better to keep the installation linked to this directory instead of having setuptools package and install the bot separately. If you have doubts on what I just said, https://stackoverflow.com/questions/19048732/python-setup-py-develop-vs-install

4. Install a database

   Apart from the bot code, you also need a database to link the bot to. You can link it to whatever PostgreSQL database you want, but I would recommend you to run a local instance.

   Using Docker and Docker Compose is a really good way to run packaged software. There are complete guides on the internet about how to run them, but for the basics:

   1. Install Docker either using your package manager or as suggested in Docker's official webpage. By the way, the official website method is just a Python script, so you can also install it with pip (I would discourage this option).
   2. Install Docker Compose. Same thing as Docker: user either package manager or the official webpage script.
   3. Open another terminal in this folder. This new terminal will be used all the time to maintain up the database while your bot is running. There are other ways to run the database in the background, but I recommend this one.
   4. In the new terminal, run docker-compose up to download and run the packaged software (the PostgreSQL database in this case).
   5. Run alembic upgrade head to create the database structure by setting up all the database tables, etc.

5. Launch mosbot

   Go back to the first terminal, and run bot to launch. The output of the command should be self explanatory.

This is a brief outline to cover the basics of the project structure:

• The more inner layer and the thing that most defines the bot is the Data Model. This are the Entities that we manage, and they are in mosbot/db.py.
• From there, because we have no ORM at the moment (asyncio doesn't have an async ORM yet), we have all the functions and queries that operate on the data in mosbot/query.py.
• Now you should be able to gather/write data and make some operations. There are some operations that are not as "simple" as the queries, and these are the "usecases" where you have a whole flow of queries and data transformation. The place where these are stored is in mosbot/usecase.py
• Finally, in the most outer layer, you have the two main "interfaces", this is where we receive the data from the abot library and we have the handlers and commands. The files are, mosbot/handler.py for event handlers and mosbot/command.py for the commands.
• There are two other files, that are "transversal" that are the mosbot/utils.py and mosbot/config.py.

You should think of this architecture (file structure/function dependencies) as an onion. The idea is that the most inner part (the database) only knows about itself. The second layer would know about the database and itself, and so on and so forth. If you are curious, it's called Clean Architecture, and I have adopted it for Python from some talks I saw for Android.

Check out the files and please do send pull requests.

• Editor: I personally recommend PyCharm. Its Community Edition is free and it is light years ahead of the rest of alternatives. Of course, you are free to choose whichever editor you want.

Contributions are going to be reviewed, and I will propose changes. I may end up modifying the whole structure of the code, but this modification doesn't mean you did bad code or similar. It's just that it makes sense to have a certain structure for the bot to grow.

Tests are really welcome, and because this project is already in production, complete failure proof and not affecting ongoing operations is expected.