Monitors twitter accounts

• Ensure you are on Python 3.7+ python --version
• Create a virtual environmentpython -m venv venv/
• Install poetry
• Install dependencies with poetry poetry install
• Run tests pytest tests/

We have a simple script which compresses past fetched tweets and uploads them to the cloud of your choice using rclone.

• RCLONE_PATH env needs to be set and sets the path to rclone executable.
• RCLONE_REMOTE env needs to be set and sets the remote path. Make sure to first config rclone with your cloud settings

Example:

• export RCLONE_PATH=/usr/bin/rclone
• export RCLONE_REMOTE="s3-twitter-monitor:twitter-monitor/data/"

We have a simple deployment. For this you would need to install webhook on the system that will run twitter monitor. Then we provide a configuration to listen to the webhook and a deployment script to redeploy the application. For those you will need to set:

• GITHUB_WEBHOOK_SECRET your github webhook secret (so that gh pushes are triggering redeployment)
• DEPLOY_HOME your project basic folder (where deployment can assume as cwd)
• DEPLOY_SCRIPT to point to our script
• APP_HOME is the path where twitter monitor will be installed
• APP_ENV is the path where virtual environment for twitter monitor will be installed
• APP_LOGS is the path where logs will be stored

Example:

• export GITHUB_WEBHOOK_SECRET=xxx
• export DEPLOY_HOME=/home/ubuntu
• export DEPLOY_SCRIPT=/home/ubuntu/webhook-redeploy.sh
• export APP_HOME=/opt/twitter-monitor
• export APP_ENV=/opt/twitter-monitor/venv
• export APP_LOGS=/home/ubuntu/twimon-logs