Library helps organize time series data. Caiman can be used for IoT systems, stock data, different type of statistics, etc. As database caiman can use file-based database.
npm install caiman --save
or
yarn add caiman --save
import {Caiman} from caiman;
const options = {
driver: {
type: 'files',
options:{
path: '/tmp/'
}
}
}, periods = ['month', 'day', 'hour', 'minute', 'second'];
let currentDate = new Date();
let temperatureSensor = new Caiman('temperature_sensor', options);
//save average value binded to current date and time, will collect average values
// posible values of last parameter are 'averages', 'aggregate', 'summarize' or you can use your own strategy
temperatureSensor.save(currentDate, periods, Math.random() * 100, 'averages');
//get collection of values by year, will return coolection of average values by monthes
console.log(stat.getCollection(currentDate, 'year'));
//get collection of values by month, will return coolection of average values by days
console.log(stat.getCollection(currentDate, 'month'));
//get collection of values by day, will return coolection of average values by hours
console.log(stat.getCollection(currentDate, 'day'));
//get collection of values by hour, will return coolection of average values by minutes
console.log(stat.getCollection(currentDate, 'hour'));
//get collection of values by hour, will return coolection of average values by seconds
console.log(stat.getCollection(currentDate, 'minute'));
yarn test
- Redis support
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MIT