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{
  "table": {
    "columnNames": ["time", "Temperature"],
    "columnTypes": ["String", "float"],
    "columnUnits": ["UTC", null],
    "rows": [
      ["2022-06-25T00:00:00Z", 21.8],
      ["2022-06-25T00:06:00Z", 21.5],
      ["2022-06-25T00:12:00Z", 21.2],
      ["2022-06-25T00:18:00Z", 21],

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atsd-client==3.0.5
  - python-dateutil [required: Any, installed: 2.8.0]
    - six [required: >=1.5, installed: 1.16.0]
  - requests [required: >=2.12.1, installed: 2.21.0]
    - certifi [required: >=2017.4.17, installed: 2021.5.30]
    - chardet [required: >=3.0.2,<3.1.0, installed: 3.0.4]
    - idna [required: >=2.5,<2.9, installed: 2.8]
    - urllib3 [required: >=1.21.1,<1.25, installed: 1.24.3]
  - tzlocal [required: Any, installed: 3.0]
    - backports.zoneinfo [required: Any, installed: 0.2.1]

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"""
Author: Jesse Whitehouse

I used mkdocs to write static documentation for my Flask web application.
I write the docs in markdown and run `mkdocks build`, which outputs a full
static website into the /site directory.

In production, my webserver servers /site statically. But in development
mode I want to still see the docs for testing purposes. So I wrote this
View.

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import json, time
from redash_toolbelt import Redash

URL = "https://app.redash.io/<org slug>"
KEY = "<your api key>"
DS_ID = 1234  # enter an integer data source ID here

client = Redash(URL, KEY)

# new queries need query text, a name, and a target data source id

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Redash SSH Tunnel API

SaaS Redash traffic always arrives from our public IP address: 52.71.84.157. We recommend directly whitelisting this address through your firewall. Alternatively, you can set up an SSH tunnel using the API described below.

Overview

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# This query runner is licensed under the BSD 2-Clause "Simplified" License
#
# Copyright (c) 2013-2021, Arik Fraimovich.
# All rights reserved.

# Redistribution and use in source and binary forms, with or without modification, 
# are permitted provided that the following conditions are met:

# 1. Redistributions of source code must retain the above copyright notice, 
#    this list of conditions and the following disclaimer.

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Year,Population1,"Violentcrime2","Violent crime rate ","Murder andnonnegligent manslaughter","Murder and nonnegligent manslaughter rate ","Rape(revised definition3)","Rape(revised definition) rate3","Rape(legacy definition4)","Rape(legacy definition) rate4",Robbery,"Robbery rate ","Aggravated assault","Aggravated assault rate ","Property crime","Property crime rate ",Burglary,"Burglary rate ","Larceny-theft","Larceny-theft rate ","Motor vehicle theft","Motor vehicle theft rate "
1997,"267,783,607","1,636,096",611.0,"18,208",6.8,,,"96,153",35.9,"498,534",186.2,"1,023,201",382.1,"11,558,475","4,316.3","2,460,526",918.8,"7,743,760","2,891.8","1,354,189",505.7
1998,"270,248,003","1,533,887",567.6,"16,974",6.3,,,"93,144",34.5,"447,186",165.5,"976,583",361.4,"10,951,827","4,052.5","2,332,735",863.2,"7,376,311","2,729.5","1,242,781",459.9
1999,"272,690,813","1,426,044",523.0,"15,522",5.7,,,"89,411",32.8,"409,371",150.1,"911,740",334.3,"10,208,334","3,743.6","2,100,739",770.4,"6,955,520","2,550.7","1,152,075",422.5
2

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{
  "data": [
    {
      "cost": "$51.00",
      "vendor_account_identifier": "9999-9999-9999",
      "vendor_account_name": "acct1"
    },
    {
      "cost": "$50.00",
      "vendor_account_identifier": "9999-9999-9998",

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from datetime import datetime, timedelta
from collections import namedtuple


def get_frontend_vals():

	ranges = calculate_ranges()
	singles = calculate_singletons()

	valkeys = [k for k in ranges.keys()] + [k for k in singles.keys()]

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from datetime import datetime, timedelta
from collections import namedtuple


def get_frontend_vals():

	ranges = calculate_ranges()
	singles = calculate_singletons()

	valkeys = [k for k in ranges.keys()] + [k for k in singles.keys()]