rollbot3/README.md

Rollbot

Build

docker build -t rollbot3:latest .

Deploy

docker run -p6070:6070 --name rollbot3-instance -d rollbot3

Local Run w/o Docker

cd into src/ and run ROLLBOT_CFG_DIR=../config python3 app.py

Note this requires at least Python 3.7.1

Development/Contributing

First Time Set-Up

If you are developing this project, start by cloning this repository and creating a new branch, replacing my-awesome-branch with your chosen branch name in the following

git clone ssh://git@kirkleon.ddns.net:10022/kirkleon/rollbot3.git
cd rollbot3/
git checkout -b feature/my-awesome-branch

Next, open GroupMe through your preferred application, and create a new chat containing just yourself. This will be your testing chat, where your local copy of rollbot will post messages. Future plans for the project include a simpler local testing environment, but integrating with GroupMe is an important testing step regardless, and so it is reasonable to do it now anyway.

Next, create a secrets.toml file. Do NOT commit this file! It is by default added to .gitignore for you, but you should always take care you are not accidentally sharing this file.

cp config/secrets.toml.template config/secrets.toml

Open the new secrets.toml file in your preferred editor, and then navigate to the GroupMe Bots page. Then, on the bots page, create a new bot. For this bot's group, select the new chat you made above. Name can be whatever you like, and you can leave the other fields blank. Click submit, and retrieve your Bot ID and Group ID from the bots page. Put these in your secrets.toml under the groupme_bots section, with your Group ID serving as the key and the Bot ID serving as the value (which must be in quotes).

For example, if your bot ID is 456, and your group ID is 789, your secrets.toml needs to start with the following

[groupme_bots]
789 = "456"

That's it for secrets! Save the file and move on to deciding if you want to do your local development with or without docker.

Developing w/o Docker

If you have a Python 3.7.1 environment with pip available, you can install dependencies as follows

pip install -r requirements.txt

If your plugin or extension adds new dependencies, remember to include them in this requirements.txt.

Then, move to the src/ directory and use the above command to start the local Flask server on port 6070.

ROLLBOT_CFG_DIR=../config python3 app.py

Use Ctrl-C to kill this server. Your development loop will probably look something like, modify your plugin, start the server, test it, kill the server, repeat.

Developing w/ Docker

If you do not have Python 3.7.1 (or later) available, or want to develop using docker locally, you can make use of the rollbot-docker.sh script. You will need to run this as root (preferably with sudo), or as some user capable of using docker. If you are not running this script as root, and instead have a different local docker user, you will need to export FORCE_NOROOT=* before running the script.

You can run ./rollbot-docker.sh help to see a full list of options. The most useful are run and clean. To build the rollbot3:latest image and deploy it to a docker container called rollbot3-instance on your local machine, simply run

./rollbot-docker.sh run

This will also blow away any existing container called rollbot3-instance before building the new image and container. If you would just like to kill and remove existing containers with that name, without starting a new one, you can run

./rollbot-docker.sh clean

In general, your development loop will probably look something like, modify your plugin, run ./rollbot-docker.sh run, and repeat. When you are all done, you can use ./rollbot-docker.sh clean to remove the lingering container on your system.

POSTing to Local Server

Once you have a local server up on http://localhost:6070/rollbot, point your REST client of choice (my personal recommendation is Insomnia) at that address. Creat a new POST request, of JSON type (that is, your Content-Type should be application/json). Then, set the body of this POST to be

{
  "text": "!echo Hello",
  "group_id": "your-group-id",
  "attachments": [],
  "avatar_url": "https://i.groupme.com/123456789",
  "created_at": 1302623328,
  "id": "1234567890",
  "name": "Insomnia",
  "sender_id": "1",
  "sender_type": "user",
  "source_guid": "GUID",
  "system": false,
  "user_id": "1234567890"
}

The first two options, text and group_id will need to be modified. Set the value of group_id to the group ID you found and put into your secrets.toml above. Then, click run! Or however your REST client sends the request. If you have everything set up correctly, your phone should buzz and you should receive a message in your bot testing chat you set up before, from the chatbot you added to it, responding to a !echo Hello command. Now, change the value of text in the body of your request to be whatever message you would like to simulate sending, and you should be able to get the hang of how you can test your local instance of rollbot.

Writing a Plugin

The quickstart for creating a new plugin is to determine a name for the plugin, say, my_cool_plugin, and run

./mkplugin my_cool_plugin

This script will generate a file at src/plugins/my_cool_plugin.py containing (approximately)

from command_system import as_plugin


@as_plugin
def my_cool_plugin():
    return "Hello, world!"

The script also adds an import plugins.my_cool_plugin to src/plugins/__init__.py, so if you are reverting what this script did, remember to remove this import from that file. Only plugins imported in that top level module file will be available for the application, so if creating a plugin manually, you will need to add an import to that file.

The above script is the most basic possible rollbot plugin, which will simply respond with Hello, world! when it receives a message starting with !my_cool_plugin. The actual wiring of the plugin is handled by the as_plugin decorator, which performs all of the following:

• Inspects the name of your function and turns that into the command word. This can be overidden by passing a single, string argument to as_plugin, which is detailed below.
• Inspects the arguments of your function, to determine what, if any, rollbot components need to be passed into your function, which are detailed below.
• Wraps your plugin function to take any return values that are not instances of RollbotResponse and convert them to strings, before wrapping them in a RollbotResponse with default settings, which is detailed below.
• Generates a RollbotPlugin extension class which overrides the on_command method to call your plugin function appropriately, and returns this class from the decorator, effectively assigning it to the my_cool_plugin variable instead of your plugin function, which is what allows your plugin to be found dynamically after just importing the plugin module

Command Naming

TODO

Plugin Arguments

TODO

RollbotResponse

TODO

Further docs to come! Good luck!

Contributing Your Plugin

Once you are confident your plugin is functional, push your code to remote with the following, again replacing my-awesome-branch with your chosen branch name.

git push -u origin feature/my-awesome-branch

Then, open a Pull Request, shoot me a message, and I'll take it from there!