Microservice for generating sparklines based on OHLCV data, which is sourced from various providers using only the Ethereum token address.
Configured to work with the static-assets-server. Key features include:
- Generating sparklines based on token address
- Scraping data from websites with charts
- Uploading sparklines to the static-assets-server
- Managing the deletion of outdated sparklines
- Managing updates of database records associated with sparklines
API endpoints:
/sparklines/update-multiple/sparklines/update-single
Navigate to the project directory and run the following command to install all necessary dependencies:
npm install
Create a '.env' file in the root directory of the project using the following template:
# .env file
SERVER_IP=127.0.0.1
NODE_ENV=development
SERVER_PORT=5000
TELEGRAM_BOT_TOKEN='' # Enter your Telegram bot token here
ERROR_ALERT_CHANNEL_ID='' # Telegram channel ID for error notifications
CORS_ORIGIN_URL=http://localhost:3000 # URL for CORS origin
REDIS_MAIN_HOST=127.0.0.1
REDIS_MAIN_PORT=6379
REDIS_MAIN_PASSWORD=''
MONGODB='' // URI
STATIC_ASSETS_SERVER_URL=http://127.0.0.1:5009
Run the following command to start the server:
npm start
Upon successful startup, the console will display a message indicating that the server is running. This message will reflect the IP address and port specified in your .env file. For example:
Server is running on 127.0.0.1:5000