influx dummy data population

dummy_pop.py

import datetime

from influxdb import InfluxDBClient

client = InfluxDBClient(host='localhost', port=8086, database='my_db')

measurement_1 = {
    "measurement": "payment_attempts",
    "tags": {
        "email_domain": "gmail.com",
        "id": "100"
    },
    "time": datetime.datetime.utcnow(),
    "fields": {
        "value": 100.00
    }
}

measurement_2 = {
    "measurement": "payment_attempts",
    "tags": {
        "email_domain": "yahoo.com",
        "id": "100"
    },
    "time": datetime.datetime.utcnow(),
    "fields": {
        "value": 100.00
    }
}

measurement_3 = {
    "measurement": "payment_attempts",
    "tags": {
        "email_domain": "gmail.com",
        "id": "200"
    },
    "time": datetime.datetime.utcnow(),
    "fields": {
        "value": 100.00
    }
}

measurement_4 = {
    "measurement": "payment_attempts",
    "tags": {
        "email_domain": "gmail.com",
        "id": "200"
    },
    "time": datetime.datetime.utcnow(),
    "fields": {
        "value": 100.00
    }
}

client.write_points([measurement_1, measurement_2, measurement_3, measurement_4])