import csv
from datetime import datetime
from influxdb_client import InfluxDBClient, Point
from influxdb_client.client.write_api import SYNCHRONOUS

# InfluxDB connection parameters
url = "http://100.64.0.24:8086"
token = "IPtqPXbaXuuMHvx_tUOt1cmIZfLHucd-9DcepXTVpQc-fNKBhp6pkhyTsq_XnoGXdxwILy5AFFgZ_QUZCE5Jhg=="
org = "juandiego"
bucket = "gps_data"

# Connect to InfluxDB
client = InfluxDBClient(url=url, token=token, org=org)
write_api = client.write_api(write_options=SYNCHRONOUS)

# Read CSV file
with open('gps_data_raspberrypi.csv', 'r') as csvfile:
    csvreader = csv.DictReader(csvfile)
    
    for row in csvreader:
        # Assuming your CSV has 'timestamp', 'measurement', and 'value' columns
        timestamp = datetime.fromisoformat(row['timestamp'])
        measurement = row['measurement']
        value = float(row['value'])

        # Create a Point
        point = Point(measurement) \
            .time(timestamp) \
            .field("value", value)

        # Write the point to InfluxDB
        write_api.write(bucket=bucket, org=org, record=point)

print("Data import completed")

# Close the client
client.close()