import "date"

from(bucket: "my-bucket")

|> range(start: -50d)

|> filter(fn: (r) => r["_measurement"] == "weather" and r["_field"] == "temperature")

|> pivot(rowKey:["_time"], columnKey: ["_field"], valueColumn: "_value")

|> map(fn: (r) => ({ r with weekDay: date.weekDay(t: r._time) }))

import calendar

import random

from datetime import datetime, timedelta

from pytz import UTC

from influxdb_client import InfluxDBClient, Point

from influxdb_client.client.write_api import SYNCHRONOUS

client = InfluxDBClient(url="http://localhost:9999", token="my-token", org="my-org")

write_api = client.write_api(write_options=SYNCHRONOUS)

query_api = client.query_api()

_points = []

now = datetime.now(UTC).replace(hour=13, minute=20, second=15, microsecond=0)

for i in range(50):

_point = Point("weather")\

.tag("location", "New York")\

.field("temperature", random.randint(-10, 30))\

.time(now - timedelta(days=i))

_points.append(_point)

write_api.write(bucket="my-bucket", record=_points)

with open('query.flux', 'r') as file:

query = file.read()

tables = query_api.query(query)

for table in tables:

for record in table.records:

day_name = calendar.day_name[record["weekDay"]]

print(f'Temperature in {record["location"]} is {record["temperature"]}°C at {day_name}')

client.__del__()