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dpkg-query -Wf '${Installed-Size}\t${Package}\n' | sort -n

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mkdir $HOME/influxdbv2
docker run -p 9999:9999 --name influxdb --restart=unless-stopped -v $HOME/influxdbv2:/root/.influxdbv2 quay.io/influxdb/influxdb:2.0.0-beta --reporting-disabled

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# -*- coding: utf-8 -*-
# https://stackoverflow.com/questions/47113813/using-pyarrow-how-do-you-append-to-parquet-file
# Create a virtualenv or pipenv with pyarrow installed
import pyarrow as pa
import pyarrow.parquet as pq

def append_to_parquet_table(ii, filepath=None, writer=None):
    filename = f"/home/user/files/2020-01-09T{ii:02}_00_00Z_PT1H.parquet"
    print("Merging: {}".format(filename))
    table = pq.read_table(filename)

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import requests
from requests.packages.urllib3.util.retry import Retry
from requests.adapters import HTTPAdapter

s = requests.Session()

# https://urllib3.readthedocs.io/en/latest/reference/urllib3.util.html
# backoff_factor (float) –
# A backoff factor to apply between attempts after the second try (most errors are resolved immediately 
# by a second try without a delay). urllib3 will sleep for:

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import requests
import xml.etree.ElementTree as ET
from PIL import Image
import numpy as np

# Area format is left, bottom, right, top
#AREA = [-1.4853, 53.3730, -1.4557, 53.3893]
AREA = [0.0422, 52.1648, 0.2204, 52.2532]

WIDTH  = 1280

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from flask import Flask
from flask import render_template
import csv
import json

app = Flask(__name__)

@app.route('/')
def my_runs():
    runs = []