The Mind Flayer, also known as the Shadow Monster, is a malevolent entity that rules the parallel dimension known as the Upside Down.
This code trains markov models on your organizations public slack messages and provides a simple CLI for posting to a channel.
git clone [email protected]:WillRaphaelson/mindflayer.git
cd mindflayer/
pip install -r requirements.txt
Create an app in your workspace at https://api.slack.com/apps, and add in the following app and user scopes.
Bot Token Scopes
| Scope | Description |
|---|---|
| channels:join | Join public channels in the workspace |
| channels:manage | Manage public channels that Mindflayer has been added to and create new ones |
| channels:read | View basic information about public channels in the workspace |
| chat:write | Send messages as @mindflayer |
| chat:write.public | Send messages to channels @mindflayer isn't a member of |
| groups:history | View messages and other content in private channels that Mindflayer has been added to |
| groups:write | Manage private channels that Mindflayer has been added to and create new ones |
| im:write | Start direct messages with people |
| mpim:write | Start group direct messages with people |
| users:read | View people in the workspace |
User Token Scopes
| Scope | Description |
|---|---|
| channels:history | View messages and other content in a user’s public channels |
Install the application, and securely store the Bot And User OAuth Access Tokens for use in the config file detailed below.
config.py
A config.py file in the top level directory will provide key configuration variables. The slack bot and app token are take from the app's permissions page in Slack.
SLACK_BOT_TOKEN = "xxxx-xxxxxxxxxxxx-xxxxxxxxxxxx-xxxxxxxxxxxxxxxxxxxxxxxx"
SLACK_USER_TOKEN = "xxxx-xxxxxxxxxxxx-xxxxxxxxxxxx-xxxxxxxxxxxxxxxxxxxxxxxx"
TEST_ENV = "GS6CFBN5N"
PROD_ENV = "CBHJ17SVC"
subdirectories
Subdirectory structure and contents are important:
.
├── ...
├── channels # csv files of channel histories
│ ├── data.csv
│ └── ...
├── users # txt files of user posts
│ ├── Will_Arr_U001.txt
│ └── ...
├── models # json files of pickled markov models
│ ├── U001.json
│ └── ...
└── ...
The train command will scrape, parse, and train new models based on data from the last num days.
python mindflayer.py train --num 1
The post command will surface randomly generated sentences, and prompt for posting in either the test or prod channels.
python mindflayer.py post --env test
Review Posts:
Will Arr
Thank you for the Software Engineering Intern interviews
accept and post? (y/n):
To generate and post sentences for a specific user, provide the optional --user argument followed by a users slack ID
python mindflayer.py post --env test --user UBGGK785R
To generate and post sentences from the mindflayer itself, user the post-arbitrary argument followed by the --env and --mssg arguments
| WARNING: only post messages from the mindflayer when it is hella funny |
|---|
python mindflayer.py post-arbitrary
--env test
--mssg "okay b4 the holiday party do any1 wanna admit they got a crush on me"