meso-alert

Mesonomics cryptocurrency alert service, written as a Scala Play Framework web application.

Development Environment

The instructions below have been tested using Pop!_OS 22.04 LTS, but should work with other Debian-based Linux distros.

In principle the application can be built and run using macOS, but this has not been tested and the installation scripts will need to be adapted.

Installation

To install the tools needed to build and run the application from the shell run:

make install-dev

Ensure that docker is logged into the container registry

On local development machines

sudo docker login registry.gitlab.com

Use personal access token from gitlab

On Kubernetes clusters

kubectl create secret docker-registry regcred --docker-server=registry.gitlab.com \
        --docker-username=<Gitlab username> --docker-password=<Gitlab access-token> \
        --docker-email=<Gitlab email>

Configuration

1. Choose a password for the postgres database.
2. If a postgres server is already running on your machine, choose an unused port for the app's postgres database.
3. Optionally, for Slack functionality visit https://api.slack.com/apps and create a new Slack app, and take note of the credentials in the 'Basic Information' section.
4. Optionally, for logon functionality visit https://auth0.com/ and create a new SWA Javascript application, and a new API.
5. Run the following in a shell from the project root directory, replacing with the postgres password, and replacing 5432 with the port you wish to use for the local development database:

cat << EOF > docker/.env
POSTGRES_PASSWORD='<password>'
SLACK_CLIENT_ID='<copy from Slack / Basic Information / App Credentials / Client ID>'
SLACK_CLIENT_SECRET='<copy from Slack / Basic Information / App Credentials / Client Secret>'
SLACK_SIGNING_SECRET='<copy from Slack / Basic Information / App Credentials / Signing Secret>'
POSTGRES_PORT=5432
POSTGRES_HOST='172.17.0.1'
SODIUM_KEY=`sbt "runMain util.GenerateSodiumKey" | awk '/private-key:/ {print $2}'`
PLAY_KEY=`head -c 32 /dev/urandom | base64`
EMAIL_SMTP_HOST='smtp-relay.gmail.com'
EMAIL_SMTP_PORT=587
EMAIL_HOST='<source address>'
EMAIL_HOST_PASSWORD='<changeMe>'
EMAIL_DESTINATION='feedback@symbiotica.ai'
EMAIL_DESTINATION_SUPPORT='support@symbiotica.ai'
SLACK_DEPLOY_URL='<copy from Slack / Manage Distribution / Sharable URL>'
AUTH0_DOMAIN='<copy from auth0 domain>'
AUTH0_CLIENT_ID='<copy from auth0 client id>'
AUTH0_AUDIENCE='<copy from auth0 API>'
EOF

Running

Server

The server application can be run in three different modes:

1. development mode,
2. production mode in local development environment, and
3. production mode in the actual production environment.

To build and run the server in development mode (1), from the project root directory run:

bin/db-init.sh
make sbt-run

Building and running the app from scratch in production mode in a local environment.

1. Initialise the database with a new schema:

bin/db-init.sh

2. Start a new ngrok tunnel on port 9000 by running the following in a byobu session:

ngrok http 9000

3. Make a note of the public ngrok address that is used to forward requests. This is shown in the Forwarding field.
4. Login to slack in a browser and head over to https://api.slack.com/apps.
5. Click Create New App -> From an app manifest and select a test workspace to deploy the app.
6. Copy the contents from slack-manifest-staging.yml into the YAML input, making sure to change the urls in the manifest to your own ngrok forwarding url from step 3.
7. After creating the app, copy the Client ID and Client Secret into your docker/.env file.
8. From your app's home page, head over to Basic Information -> Manage Distribution -> Distribute App, and copy the Sharable URL into the SLACK_DEPLOY_URL in docker/.env
9. After filling in the rest of the configuration fields in docker/.env, run the app with the command:

make docker-server-start

10. With the app running, head over to http://localhost:9000, and add the app to a test workspace.
11. In the test workspace where you deployed the app, issue the command @block-insights to a channel where you want to receive alerts.

A note on server configuration

For modes 1 and 2, the application can be run on a local development machine. For mode 3, the application is deployed into a kubernetes cluster.

In mode 1, the application configuration is stored in conf/application.conf. This file is automatically configured from docker/.env by the staging-config make target.

Both production modes (2 and 3) use the same docker image. For mode 2, application secrets and configuration are obtained from docker/.env. However, in mode 3 application secrets are decrypted from k8/staging/sealed-secrets.yaml using Sealed Secrets and then mounted underneath /etc/secrets inside the docker container. On startup the docker image checks for /etc/secrets. If this directory is present it loads the corresponding secrets, and ignores the settings in docker/.env.

Non-secret configuration changes for kubernetes production mode (3) should be made directly to docker/start-play.sh.

For changes that affect the unit-testing environment, make configuration changes to test/resources/application.test.conf.

Summary: adding new configuration variables

If new application configuration variables are added, then all the following files need to be updated:

• docker/.env
• bin/staging-config.sh
• docker/docker-compose.yml
• docker/meso-alert.docker
• docker/start-play.sh
• test/resources/application.test.conf
• This file

If the new configuration involves secret values such as passwords, then the following files also need to be updated:

• k8/web-application.yaml
• k8/staging/sealed-secrets.yaml
• k8/production/sealed-secrets.yaml

To add new values to sealed secrets, the following must be done:

1. Edit k8/web-application.yaml to include: 1. the name and path of the new values under volumeMounts 2. the name and secret names under volumes.
2. Login to the k8 cluster in either staging or production. Create a new file called secret.yaml, and inside enter the values you want to add to sealed secrets using the following format:

apiVersion: v1
kind: Secret
metadata:
  name: name-of-secret
data:
  secret-value-1: bXlzdXBlcnNlY3JldAo=
  secret-value-2: kdmkeAEamAkmdAmoidqmAoqmdlkam==

where the values you will use for each of your secrets will be base64 encoded version of the actual secret values. The command

echo -n rawSecret123 | base64

can be used to base64 encode a secret value.

3. After adding the secrets, use the command

cat secret.yaml | kubeseal --controller-namespace default --controller-name sealed-secrets --format yaml > sealed-secret.yaml

This will output a file named sealed-secret.yaml that will contain the encrypted secret values that you used in secret.yaml. Copy the contents of sealed-secret.yaml and append them to k8/staging/sealed-secrets.yaml or k8/production/sealed-secrets.yaml as needed.

4. When the application is deployed with the new secrets, delete the temporary file sealed-secret.yaml.

Websocket client

Currently, this functionality is disabled by default. To enable it un-comment the relevant line in /conf/routes.

To start the javascript websocket client:

make client-start

Managing Slack webhooks

There is a REST API to manage Slack webhooks.

Currently, this functionality is disabled by default. To enable it un-comment the relevant lines in /conf/routes.

Registering a new webhook

The following example registers a new webhook with a threshold of 20000000 Satoshi.

curl -X POST http://localhost:9000/api/webhooks/register --data \
'{"uri":"https://hooks.slack.com/services/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", "threshold":20000000}' \
-H 'Content-Type: application/json'

Starting a webhook

curl -X POST http://localhost:9000/api/webhooks/start --data \
'{"uri":"https://hooks.slack.com/services/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"}' \
-H 'Content-Type: application/json'

Stopping a webhook

curl -X POST http://localhost:9000/api/webhooks/stop --data \
'{"uri":"https://hooks.slack.com/services/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"}' \
-H 'Content-Type: application/json'

Connecting to the production database

Use a command similar to the following:

kubectl port-forward <postgres-pod-name> 5454:5432

The above will forward connections to port 5454 on localhost to the production postgres instance. To obtain pod names, run the command:

kubectl get pods

Making changes to the code

Please read the contributing guidelines before making any changes.