docs: added example with query that is stored in file

Author: bednar

examples/query.flux

@@ -0,0 +1,7 @@
+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) }))

examples/query_from_file.py

@@ -0,0 +1,54 @@
+"""
+How to load and execute query that is stored in file.
+"""
+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()
+
+"""
+Prepare data
+"""
+
+_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)
+
+"""
+Query: using Flux from file
+"""
+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}')
+
+"""
+Close client
+"""
+client.__del__()
+
+
+
+
+