A Telegram Bot to monitor the status of Terra Nodes.
Features:
- Monitor remote nodes
- Monitor your own local node
- Notifications about changes of your node's Jailed, Unbonded or Delegator Shares attributes
- Notifications if your Block Height gets stuck
- Notifications if Price Feed gets unhealthy
- Notifications about new Governance Proposals
- Notifications about finished Governance Proposals
- Notifications about syncing status changes of your sentry nodes
- Voting on Governance Proposals from Terra Station Extension
- Voting on Governance Proposals using delegation feature
- Notifications on Slack
If you have questions please open a github issue or contact us in our Telegram Channel!
- Telegram
- Docker (if you want to run with docker)
- Python3 (if you want to run without docker)
Install docker and run:
docker volume create terra-node-bot-volume
docker run -d --env TELEGRAM_BOT_TOKEN=XXX --env NODE_IP=XXX --env SLACK_WEBHOOK=XXX --env LCD_ENDPOINT=1.2.3.4 --mount source=terra-node-bot-volume,target=/storage block42blockchaincompany/terra-node-bot:latest
Set
TELEGRAM_BOT_TOKENto your Telegram Bot Token obtained from BotFather.NODE_IPto any IP you want to monitor (orlocalhost). Leave it empty or remove it to only monitor public Node information.SLACK_WEBHOOKto the webhook of your Slack channel to receive notifications on Slack. Leave it empty or remove it to not get notified via Slack.LCD_ENDPOINTto your Node's IP if you have setup the Light Client Daemon on your Node. If not, leave this variable empty or remove it to use the publiclcd.terra.devlcd server.
Optionally set
SENTRY_NODEScomma separated list of your sentry nodes' LCD URLs if you want to monitor their sync status.
- Install dependencies
- Create Telegram Bot token via BotFather
- Set up Slack Webhook
- Set up Light Client Daemon (LCD)
- Set environment variables
- Start the bot
- Run and test the bot
- Production
- Testing
Install all required dependencies via: pip install -r requirements.txt
Start a Telegram chat with BotFather and click start.
Then send /newbot in the chat, and follow the given steps to create a new telegram token. Save this token, you will need it in a second.
If you want to receive the bot's notifications also in one of your slack channels, you need to set up a Webhook for your channel.
To do this, follow steps 1, 2, and 3 of the official Slack guide. At the end of step 3, you should be able to get your Webhook URL similar to this:
https://hooks.slack.com/services/T00000000/B00000000/XXXXXXXXXXXXXXXXXXXXXXXX
Save this webhook, you will neet it later.
The default configuration of the bot uses the official public LCD endpoint for the queries lcd.terra.dev.
This can become an issue when the public endpoint starts rate limiting the requests of the bot.
To prevent this from happening, one can specify his Node's own LCD server as an environment variable.
To set up your own LCD server of your terra node, follow the official docs:
https://docs.terra.money/terracli/lcd.html
Set the Telegram Bot token you previously created as the environment variable TELEGRAM_BOT_TOKEN:
export TELEGRAM_BOT_TOKEN=XXX
Optionally set the Slack Webhook that you previously created as the environment variable SLACK_WEBHOOK:
export SLACK_WEBHOOK=https://hooks.slack.com/services/T00000000/B00000000/XXXXXXXXXXXXXXXXXXXXXXXX
SENTRY_NODEScomma separated list of your sentry nodes' LCD URLs if you want to monitor their sync status.
export SENTRY_NODES=localhost:1317,192.168.5.4:1317
Next you can specify the IP of the Terra node that you want to watch in the NODE_IP environment variable.
Set it to localhost to listen a node on your own machine.
Leave this environment variable empty or don't even set it to only monitor public node information from the public API endpoint https://lcd.terra.dev/ .
Make sure that your bot has access to the node API endpoints (specifically :26657/status) on this IP.
Please note, if you leave NODE_IP empty, IP specific monitoring won't take effect (no check for
increasing block height and catch up status). Because information about block height is private
to each node, we cannot access it without having an IP with an open API endpoint.
export NODE_IP=localhost
or
export NODE_IP=3.228.22.197
Another variable you can optionally specify is LCD_ENDPOINT:
export LCD_ENDPOINT=3.228.22.197
Set it to your Node IP. If you don't have your own LCD server set up yet, follow the official docs https://docs.terra.money/terracli/lcd.html .
Don't set this environment variable to use the public LCD server at lcd.terra.dev, but be aware that
the bot might run into rate limiting issues using this endpoint.
Finally, if you want test the Terra Node Monitoring Telegram Bot with data from your local machine, you need to set the debug environment variable:
export DEBUG=True
The DEBUG flag set to True will run a local web server as a separate process.
This way the Telegram Bot can access the local files validators.json und status.json
in the test/ folder.
To test whether the bot actually notifies you about changes, the data the bot is querying needs to change.
You can simulate that by manually editing test/validators.json and test/status.json.
Furthermore in DEBUG mode separate processes run test/increase_block_height.py and test/update_price_feed.py.
The former artificially increases the block height so that there are no notifications that the block height got stuck,
and the latter updates the price feed to prevent faulty notifications about the price feeder.
If you are using a Jetbrains IDE (e.g. Pycharm), you can set these environment variables for your run configuration which is very convenient for development (see: https://stackoverflow.com/questions/42708389/how-to-set-environment-variables-in-pycharm).
Start the bot via:
python3 terra_node_bot.py
Make sure that you see a message in the console which indicates that the bot is running.
When you created the Telegram Bot token via BotFather, you gave your bot a certain name (e.g. terranode_bot).
Now search for this name in Telegram, open the chat and hit start!
At this point, you can play with the bot, see what it does and check that everything works fine!
The bot persists all data, which means it stores its chat data in the file storage/session.data.
Once you stop and restart the bot, everything should continue as if the bot was never stopped.
If you want to reset your bot's data, simply delete the file session.data in the storage directory before startup.
In production you do not want to use mock data from the local endpoint but real network data.
To get real data just set DEBUG=False and all other environment variables as
described in the Set environment variables section.
To run the bot as a docker container, make sure you have docker installed (see: https://docs.docker.com/get-docker).
Navigate to the root directory of this repository and execute the following commands:
Build the docker image as described in the Dockerfile:
docker build -t terra-node-bot .
To make the bot's data persistent, you need to create a docker volume. If the bot crashes or restarts the volume won't be affected and keeps all the session data:
docker volume create terra-node-bot-volume
Finally run the docker container:
docker run --env TELEGRAM_BOT_TOKEN=XXX --env NODE_IP=XXX --env SLACK_WEBHOOK=XXX --env LCD_ENDPOINT=1.2.3.4 --mount source=terra-node-bot-volume,target=/storage block42blockchaincompany/terra-node-bot:latest
Set the --env TELEGRAM_BOT_TOKEN flag to your Telegram Bot token.
Set the --env SLACK_WEBHOOK flag to your Slack Webhook. To not use slack notifications,
leave this empty i.e. --env SLACK_WEBHOOK= or remove it altogether.
Set the --env NODE_IP flag to an IP of a running node or localhost.
If you don't know any IP leave this empty i.e. --env NODE_IP= or remove it completely.
Set the --env LCD_ENDPOINT flag to your node IP if you have set up your own LCD server. Leave it empty
or remove the variable to use the public LCD endpoint at lcd.terra.dev.
Finally, the --mount flag tells docker to mount our previously created volume in the directory storage.
This is the directory where your bot saves and retrieves the session.data file.
Please note that as docker is intended for production,
there is not the possibility for the DEBUG mode when using docker.
If you want to self host infrastructure for vote delegation - unfortunately you need to set it up on your own as this feature is still in beta.
To make it work you need to:
- deploy website
- deploy backend and connect your own wallet
- setup your own MongoDB database and connect with backend instance
- set correct endpoints in
constants.py
If you don't do it you can still vote through the website hosted by block42 using Terra Station Extension. Unfortunately, you can't use the backend instance (delegate the vote) as it is set up to accept only request from one specific instance of the Telegram bot due to security reasons.
To test the Terra Node Monitoring Bot, first you need to impersonate your own Telegram Client programmatically.
To do that, you need to obtain your API ID and API hash by creating a telegram application that uses your user identity on https://my.telegram.org . Simply login in with your phone number that is registered on telegram, then choose any application (we chose Android) and follow the steps.
Once you get access to api_id and api_hash, save them in the Environment variables
TELEGRAM_API_ID and TELEGRAM_API_HASH respectively.
Also save the name of your Telegram Bot without the preceding @
in the TELEGRAM_BOT_ID environment variable (e.g. if your bot is named
@terra_node_test_bot, save terra_node_test_bot in TELEGRAM_BOT_ID).
You need to authenticate your new Telegram client with your phone number once to
receive an authentication string.
This cannot be done during the unit test run, that's why there's the separate script
test/sing_in_telegram.py.
Make sure to set the environment variables TELEGRAM_API_ID and TELEGRAM_API_HASH.
Then run in test/
python3 sign_in_telegram.py
and follow the instructions.
Once finished, the script stores the authentication string in test/telegram_session.string
which can be used for the tests.
We use pytest as the test runner for the tests.
Install pytest in the root folder of the repo via:
pip install pytest
You also need to set the TELEGRAM_BOT_TOKEN environment variable with your
Telegram Bot token and set DEBUG=True as explained in the Set environment variables section.
Keep in mind that the test always deletes the session.data file inside storage/
in order to have fresh starts for every integration test. If you wish to keep your
persistent data, don't run the tests or comment out
the line os.remove("../storage/session.data") in test/unit_test.py.
Finally to run the tests open the test/ folder in your terminal and run
pytest -v unit_test.py
After all tests finished check that all tests passed.
To test the transaction invoking operations, like voting on proposals, you need to set up LocalTerra environment. To do it you need docker daemon running. When it's ready just type in these commands:
git clone https://www.github.com/terra-project/LocalTerra
cd LocalTerra
docker-compose up
You can find more info about LocalTerra here.