Igor Cotruta Hugoberry

Google Sheets Script for Fetching Data from Supabase

This Google Sheets script fetches data from a Supabase database and writes the selected headers and data to the active sheet. The script first clears the sheet, writes the headers, then fetches the data from the Supabase API, and finally writes the data to the sheet.

Prerequisites

Make sure your Supabase Database RLS policy allows reads (you might need to tweak some RLS policies).

How to Use

Create a new Google Sheet or open an existing one.

Cheat sheet: JavaScript Array methods

Deriving a new Array from an existing Array:

['■','●','▲'].slice(1, 3)          ⟼ ['●','▲']
['■','●','■'].filter(x => x==='■') ⟼ ['■','■']
    ['▲','●'].map(x => x+x)        ⟼ ['▲▲','●●']
    ['▲','●'].flatMap(x => [x,x])  ⟼ ['▲','▲','●','●']


	-- ataching the remote database (268KB)
	ATTACH 's3://us-prd-motherduck-open-datasets/content/duckdb-as-catalog/ducky_catalog.ddb';

	SHOW all tables;

	-- queries the data
	FROM ducky_catalog.customers limit 5;

	-- Listing views

	You are ChatGPT, a large language model trained by OpenAI, based on the GPT-4 architecture.
	Knowledge cutoff: 2023-10
	Current date: 2024-05-31

	Image input capabilities: Enabled
	Personality: v2

	# Tools

	## dalle

	function err_1_(message) { throw new Error(message); }
	function err_2_(message) { throw new Error(message); }
	function err_3_(message) { throw new Error(message); }
	function err_4_(message) { throw new Error(message); }
	function err_5_(message) { throw new Error(message); }
	function err_6_(message) { throw new Error(message); }
	function err_7_(message) { throw new Error(message); }
	function err_8_(message) { throw new Error(message); }
	function err_9_(message) { throw new Error(message); }
	function err_10_(message) { throw new Error(message); }

	import duckdb
	import fabduckdb
	import gspread
	import pandas as pd


	def read_gsheet(service_account_json_path: str, gsheets_url: str, worksheet_name: str) -> pd.DataFrame:
	gc = gspread.service_account(filename=service_account_json_path, scopes=gspread.auth.READONLY_SCOPES)
	gsheet = gc.open_by_url(gsheets_url)
	data = gsheet.worksheet(worksheet_name).get_all_records()

	#r "System.Net.Http"
	using System.Net.Http;
	using System.Text;
	using Newtonsoft.Json.Linq;

	// You need to signin to https://platform.openai.com/ and create an API key for your profile then paste that key
	// into the apiKey constant below
	const string apiKey = "<YOUR API KEY HERE>";
	const string uri = "https://api.openai.com/v1/completions";
	const string question = "Explain the following calculation in a few sentences in simple business terms without using DAX function names:\n\n";

	// Modified from @mutsuda's https://medium.com/@mutsuda/create-an-ios-widget-showing-google-spreadsheets-data-856767a9447e
	// by @levelsio

	// HOW TO
	// 1) Make a Google Sheet, we'll pull the first cell e.g. A1
	// 2) Publish your Google Sheet, File -> Publish To Web
	// 3) Copy the SHEET_ID in the URL, put it in here below:
	const endpoint = "https://spreadsheets.google.com/feeds/cells/SHEET_ID/1/public/full?alt=json"
	// 4) Install Scriptable @ https://apps.apple.com/us/app/scriptable/id1405459188
	// 5) Copy this entire script in to Scriptable (tip: you can send it to your iPhone via Whatsapp/Messenger/Telegram etc)

	# Install Kerberos in Linux based Docker image
	$ export DEBIAN_FRONTEND=noninteractive
	$ apt-get install -y krb5-user libpam-krb5
	$ kinit <account>@<COMPANY>.ORG
	$ klist

	# Create keytab file
	$ ktutil
	$ addent -password -p <account>@<COMPANY>.ORG -k 1 -e arcfour-hmac
	$ write_kt <account>.keytab

	#load the type from the Microsoft.AnalysisServices.AdomdClient nuget package
	Install-Package Microsoft.AnalysisServices.AdomdClient.retail.amd64 -Source "https://www.nuget.org/api/v2"
	$p = get-package Microsoft.AnalysisServices.AdomdClient.retail.amd64
	$nugetFile = get-childitem $p.source
	$adomdFile = join-path $nugetFile.DirectoryName "lib\net45\Microsoft.AnalysisServices.AdomdClient.dll"
	add-type -path $adomdFile