This is a Slack bot that asks people about KPIs
Check out the announcement post on our tech blog.
$ npm install
$ ./node_modules/typescript/bin/tsc
To run the bot you'll need:
- if your spreadsheet is private: a Service Account auth JSON for the Google Spreadsheet API, follow these instructions to get one.
- the spreadsheet ID: it's the alphanumeric string after
https://docs.google.com/spreadsheets/d/
in the URL of your Google Spreadsheet - the token for your Slack bot: follow these instructions to get one for your bot
Then you can run the bot by passing the above with env vars:
$ AUTH_JSON=./xxx.json SLACK_TOKEN=XYZ SPREADSHEET_ID=ABC \
node build/index.js
The AUTH_JSON
variable is only required if your spreadsheet is private.
Remember to share read/write access on the spreadsheet to the service account email that you created.
In case you're running the bot without authentication (i.e. without setting AUTH_JSON
),
you'll have to publish the spreadsheet to the web (File > Publish to the Web).
You can find more details here.
The Heroku deploy button currently only works for public spreadsheets that don't require authentication.
Never heard of Heroku? Here's how to install it: https://youtu.be/8lzdCWoiDbY
At start, the bot will create the KPIs
and Data
worksheets if they don't exist yet.
The KPIs
worksheet is where you put the KPIs you want to track. Each KPI must have the following attributes:
name
: an alphanumeric unique identifier for the KPIquestion
: this is the text that gets used to create the question together with the period (for instance if thequestion
field isHow many customer signed up
and the period isMay 1st, 2016
, then the bot will askHow many customer signed up on May 1st, 2016?
)owner-slack
: the Slack username of the user that will be asked about this KPI (this may be different from the name that you see in the chat, you can look up the username on the Slack profile of the user)frequency
: how often to collect the value of this KPI (daily
,weekly
,monthly
)since
: the date (YYYY-MM-DD
) since you want to track this KPI - in case of weekly KPIs it must be the Monday of that week, in case of monthly KPIs it must be the 1st day of that month.kippino-enable
: set this totrue
oryes
if you want to enable this KPI.
The Data
worksheet is where Kippino puts the values collected from your team. Each data point has the following attributes:
timestamp
: ISO formatted timestamp for when the value was capturedkpi
: the KPI namevalue
: the KPI valuefor
: the date associated to the period that this value refers to (same convention used by thesince
attribute)source
: the user that provided this value
The bot accepts the following commands:
help
provides a brief description of the bot and the list of commandssync KPIs
reloads the list of KPIs (this is also done every hour)sync users
reloads the list of Slack users (this is also done every hour)list KPIs
lists the configured KPIspending
lists the users that have pending questions (i.e. the bot asked them for a KPI but they didn't respond yet)
You can run Kippino via Docker, there's already a pre-built docker image or you can build your own from the provided Dockerfile
.
$ docker run \
-v ./auth.json:/auth.json \
-e AUTH_JSON=/auth.json \
-e SLACK_TOKEN=xyz \
-e SPREADSHEET_ID=abc \
--name kippino measurence/kippino
You can easily deploy Kippino on a Kubernetes cluster with the following config. The authentication JSON and the Slack token should be configured as secrets.
---
apiVersion: extensions/v1beta1
kind: Deployment
metadata:
name: kippino
labels:
app: kippino
spec:
strategy:
type: Recreate
template:
metadata:
name: kippino
labels:
app: kippino
spec:
volumes:
- name: kippino-google-auth
secret:
secretName: "kippino-google-auth"
containers:
- image: "measurence/kippino:latest"
name: kippino
volumeMounts:
- name: "kippino-google-auth"
mountPath: "/kippino-google-auth/"
readOnly: true
env:
- name: SLACK_TOKEN
valueFrom:
secretKeyRef:
name: kippino
key: "slack-token"
- name: SPREADSHEET_ID
value: "XYZ"
- name: AUTH_JSON
value: "/kippino-google-auth/auth.json"
resources:
requests:
cpu: 0.1
memory: "256Mi"
limits:
cpu: 0.1
memory: "256Mi"
Currently the bot is quite stupid and it will start asking questions as soon as a new day starts in the bot timezone.
It will also keep waiting for an answer "forever", it doesn't keep "nudging" people until they respond.
Make sure that your spreadsheet is configured in the US locale since the bot uses
Javascript's parseFloat
to parse numbers in the US format (using .
as decimal
separator).
Dates in the spreadsheet must be formatted as YYYY-MM-DD
.
For weekly KPIs, the since
field must be set to the Monday of the week you want to start collecting the KPI.