Spice up your Slack-life with emojis!
Project description
# 100Bot
This is a son-of-[IoBot](https://github.com/adahn6/Io) project, taking the best
things about Io and turning them into a monster.
A picture is worth 1000 words:
![Screenshot of example conversation](example.png)
100Bot is powered by the Watson Tone Analyzer service. Each message is carefully
parsed for emotional significance and response, so that the perfectly
appropriate reaction emoji can be chosen.
## Running 100Bot
The bot requires three very specific parameters:
- A Watson Tone Analyzer `username` credential
- A Watson Tone Analyzer `password` credential
- A Slack Integration Token for a bot
### Running with docker-compose
The easiest way to get 100bot up and running with dependencies is by using the docker service file included: `docker-compose.yml`. Modify the supplied `.env-sample` to provide credentials for the Watson Tone Analyzer and a Slack bot. Then build and start the service with:
```shell
docker-compose up -d
```
### Running natively with python
Pip modules `slackclient` and `requests` must be installed. Use virtualenv to make your life easier. Passing of credentials can be done with argparse:
```shell
python3 100bot.py \
--bx-username "user" \
--bx-password "verysecret" \
--slack-token "xoob-137138657231-2ReKEpxlvWwe6vDBripOs7sR"
```
but can also be done with environment variables:
```shell
export BLUEMIX_USERNAME=user
export BLUEMIX_PASSWORD=verysecret
export SLACK_TOKEN="xoob-137138657231-2ReKEpxlvWwe6vDBripOs7sR"
python3 100bot.py
```
(yes, these are all fake credentials don't try them...)
This is a son-of-[IoBot](https://github.com/adahn6/Io) project, taking the best
things about Io and turning them into a monster.
A picture is worth 1000 words:
![Screenshot of example conversation](example.png)
100Bot is powered by the Watson Tone Analyzer service. Each message is carefully
parsed for emotional significance and response, so that the perfectly
appropriate reaction emoji can be chosen.
## Running 100Bot
The bot requires three very specific parameters:
- A Watson Tone Analyzer `username` credential
- A Watson Tone Analyzer `password` credential
- A Slack Integration Token for a bot
### Running with docker-compose
The easiest way to get 100bot up and running with dependencies is by using the docker service file included: `docker-compose.yml`. Modify the supplied `.env-sample` to provide credentials for the Watson Tone Analyzer and a Slack bot. Then build and start the service with:
```shell
docker-compose up -d
```
### Running natively with python
Pip modules `slackclient` and `requests` must be installed. Use virtualenv to make your life easier. Passing of credentials can be done with argparse:
```shell
python3 100bot.py \
--bx-username "user" \
--bx-password "verysecret" \
--slack-token "xoob-137138657231-2ReKEpxlvWwe6vDBripOs7sR"
```
but can also be done with environment variables:
```shell
export BLUEMIX_USERNAME=user
export BLUEMIX_PASSWORD=verysecret
export SLACK_TOKEN="xoob-137138657231-2ReKEpxlvWwe6vDBripOs7sR"
python3 100bot.py
```
(yes, these are all fake credentials don't try them...)
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