#!/usr/bin/env python3

import csv
from influxdb import InfluxDBClient
from urllib.parse import urlparse
import datetime

sources = {
    "recovered": "COVID-19/csse_covid_19_data/csse_covid_19_time_series/time_series_covid19_recovered_global.csv",
    "deaths": "COVID-19/csse_covid_19_data/csse_covid_19_time_series/time_series_covid19_deaths_global.csv",
    "cases": "COVID-19/csse_covid_19_data/csse_covid_19_time_series/time_series_covid19_confirmed_global.csv",
}

left_headers = ["Province/State", "Country/Region", "Lat", "Long"]


def load_source(fpath, field_name):
    first = True
    dates = None
    data = []

    with open(fpath, "r") as f:
        r = csv.reader(f)
        for line in r:
            if first:
                first = False
                dates = line[len(left_headers):]
                continue

            state, country, lat, lon = line[0:4]
            row = line[len(left_headers):]

            for i, date in enumerate(dates):
                date_ob = datetime.datetime.strptime(date, "%m/%d/%y")
                data.append({
                    "measurement": "covid",
                    "tags": {
                        "country": country,
                        "state": state or "ALL"
                    },
                    "time": date_ob.isoformat(),
                    "fields": {
                        field_name: row[i]
                    }
                })
    return data


def get_payload():
    payload = []
    for field_name, fpath in sources.items():
        payload.extend(load_source(fpath, field_name))
    return payload


def main():
    influx_uri = urlparse("http://localhost:10019/")
    influx_client = InfluxDBClient(influx_uri.hostname, str(influx_uri.port)) # user, password)
    influx_client.create_database("covid")
    influx_client.switch_database("covid")

    data = get_payload()
    influx_client.write_points(data)


if __name__ == '__main__':
    main()