Running Functions by Specifying Function Names with Web Apps for Google Apps Script

Gists

In this report, I would like to introduce the method for running functions by directly specifying the function names with Web Apps for Google Apps Script.

Description

It has already been known that the directly specified functions in the project can be run from the outside by enabling “API executable” and using the method of scripts.run in Google Apps Script API. In this case, the installation for using Apps Script API is a bit complicate. I think that this is making users difficult to use Apps Script API, although the important settings are including in the installation when the importance of the security is considered. As one of workarounds for making easy to run the directly specified functions in the project, I would like to introduce the method using Web Apps. When Web Apps is accessed, the functions of doGet() and doPost() are used. These are the reserved function name. But, when this method is used, the functions in the project can be run by directly selecting from the outside.

Examples of How to Derive a Signing Key for Signature Version 4 (AWS) for Google Apps Script

Gists

This is a sample script for “Examples of How to Derive a Signing Key for Signature Version 4” using Google Apps Script.

In order to use AWS SDKs, there are the sample scripts for the languages of Java, .NET (C#), Python, Ruby, JavaScript (Node.js). But the sample script of Google Apps Script is not prepared. I saw the question related to this at Stackoverflow. So I would like to also introduce the sample script here.

Parsing HTML using Google Apps Script

Gists

This is a sample script for parsing HTML using Google Apps Script. When HTML data is converted to Google Document, the HTML data can be parsed and be converted to Google Document. In this case, the paragraphs, lists and tables are included. From this situation, I thought that this situation can be used for parsing HTML using Google Apps Script. So I could came up with this method.

In the Sheet API, the HTML data can be put to the Spreadsheet with the PasteDataRequest. But unfortunately, in this case, I couldn’t distinguish between the body and tables.

Retrieving Values from Filtered Sheet in Spreadsheet using Google Apps Script

Gists

This is a sample script for retrieving values from filtered Sheet in Spreadsheet using Google Apps Script. When the values are retrieved the filtered sheet by the basic filter, if setValues() and setDisplayValues() are used, all values without the filter are retrieved. In this script, I would like to introduce the method for retrieving the values from the filtered sheet using Google Apps Script.

In order to retrieve the values from the filtered sheet, one method has already been proposed. That method retrieved the values from the filtered sheet by retrieving columnMetadata and rowMetadata of the method of spreadsheet.get of Sheets API. In this case, the rows and columns hidden by the filter can be retrieved.

GAS Library - UnzipGs

Overview

This is a GAS library for unzipping a Zip file protected by a password using Google Apps Script.

Description

Recently, I had a situation that it is required to unzip a Zip file protected with the password. But unfortunately, in the current stage, the method of Utilities.unzip() cannot unzip such protected files. So when I had been looking for the other workarounds, I found zlib.js. Especially, it’s unzip.min.js. This is created for Javascript. So when I used this using Google Apps Script, it was found that it didn’t work for Google Apps Script. So I prepared a wrapper script for running it with Google Apps Script. And when I created the wrapper script, I thought that under the current stage, if the protected Zip file can be unzipped, this will be useful for other users. So I created this as a GAS library.

Resumable Uploading Files to Google Drive using Golang

Gists

This is a sample script for the resumable upload of Files to Google Drive using Golang. This script uses the library of google-api-go-client. About the installation of google-api-go-client, please check the Quickstart for golang at the official site.

Sample script:

package main

import (
	"context"
	"encoding/json"
	"fmt"
	"io/ioutil"
	"log"
	"net/http"
	"os"

	drive "google.golang.org/api/drive/v3"

	"golang.org/x/oauth2"
	"golang.org/x/oauth2/google"
	"golang.org/x/oauth2/jwt"
)

// ServiceAccount : Use Service account
func ServiceAccount(credentialFile string) *http.Client {
	b, err := ioutil.ReadFile(credentialFile)
	if err != nil {
		log.Fatal(err)
	}
	var c = struct {
		Email      string `json:"client_email"`
		PrivateKey string `json:"private_key"`
	}{}
	json.Unmarshal(b, &c)
	config := &jwt.Config{
		Email:      c.Email,
		PrivateKey: []byte(c.PrivateKey),
		Scopes: []string{
			drive.DriveScope,
		},
		TokenURL: google.JWTTokenURL,
	}
	client := config.Client(oauth2.NoContext)
	return client
}

func main() {
	filename := "sample.txt"     // Filename
	baseMimeType := "text/plain" // MimeType
	client := ServiceAccount("credential.json") // Please set the json file of Service account.

	srv, err := drive.New(client)
	if err != nil {
		log.Fatalln(err)
	}
	file, err := os.Open(filename)
	if err != nil {
		log.Fatalln(err)
	}
	fileInf, err := file.Stat()
	if err != nil {
		log.Fatalln(err)
	}
	defer file.Close()
	f := &drive.File{Name: filename}
	res, err := srv.Files.
		Create(f).
		ResumableMedia(context.Background(), file, fileInf.Size(), baseMimeType).
		ProgressUpdater(func(now, size int64) { fmt.Printf("%d, %d\r", now, size) }).
		Do()
	if err != nil {
		log.Fatalln(err)
	}
	fmt.Printf("%s\n", res.Id)
}

Note:

  • In this sample, the Service account is used. So the file is uploaded to the Service account’s Drive. When client retrieved from OAuth2 is used, the file is uploaded to owner’s Drive.

References:

Creating a Table to Google Document by Retrieving Values from Google Spreadsheet for Python

Gists

This is a sample script for creating a table to Google Document by retrieving values from Google Spreadsheet for Python.

Before you use this script, please install python library of gdoctableapppy.

$ pip install gdoctableapppy

Sample script:

This sample script uses Service Account.

In this sample script, the values are retrieved from Sheet1!A1:C5 of Spreadsheet, and new table is created to the Document using the values.

from google.oauth2 import service_account
from gdoctableapppy import gdoctableapp
from googleapiclient.discovery import build

SCOPES = ['https://www.googleapis.com/auth/documents',
          'https://www.googleapis.com/auth/spreadsheets']
SERVICE_ACCOUNT_FILE = 'credential.json' # Please set the json file of Service account.
creds = service_account.Credentials.from_service_account_file(
    SERVICE_ACCOUNT_FILE, scopes=SCOPES)

service = build('sheets', 'v4', credentials=creds)

spreadsheet_id = '###'  # Please set here
document_id = '###'  # Please set here

res = service.spreadsheets().values().get(
    spreadsheetId=spreadsheet_id, range='Sheet1!A1:C5').execute()
values = res['values']

resource = {
    "service_account": creds,
    "documentId": document_id,
    "rows": len(values),
    "columns": len(values[0]),
    "append": True,
    "values": values
}
res = gdoctableapp.CreateTable(resource)
print(res)

References:

Google OAuth Verification & Application Privacy Policy

Registered Application Name: Workspace & Gemini AI Orchestration Engine

Application Purpose & Core Functionality:

This web page serves as the official homepage and privacy compliance interface for the application "Workspace & Gemini AI Orchestration Engine". This specialized developer utility is designed to research, benchmark, and optimize advanced integrations between Google Workspace services, the Google Apps Script API, and Gemini AI models (via Google Vertex AI / Gemini API endpoints).

The application facilitates automated multi-agent scaffolding, programmatic script deployment, project resource management, and structural analysis of Google Apps Script projects. It allows developers and autonomous AI agents (operating via Model Context Protocol / MCP) to securely evaluate execution performance, implement high-performance batch requests, and test agent-to-agent (A2A) workflows within a controlled and structured environment.

Google User Data Policy Compliance Statements:

1. Data Access & Specific Usage

Our application explicitly requests access to specific Google user accounts through OAuth scopes required strictly for interacting with the Google Apps Script API and Google Workspace endpoints. This access is utilized solely to execute user-initiated or agent-orchestrated programmatic operations—such as creating, modifying, deploying, or benchmarking script projects and executing automated workflows. No background automated extraction occurs without explicit session initiation.

2. Data Storage & Zero-Retention Policy

Adhering to a strict Zero-Retention Model, this application does not store, log, or persist any personal data, OAuth tokens, script source codes, or Google account configurations on any external server, database, or persistent storage medium. All data processing and API responses are handled entirely in-memory or securely on the client side within the active session context, ensuring complete cryptographic transient isolation.

3. Data Sharing & Third-Party Non-Disclosure

We maintain absolute data privacy. No data accessed via Google OAuth scopes is shared, sold, rented, or transferred to third-party entities, advertising networks, or data brokers. All data transmissions are strictly point-to-point, encrypted in transit using industry-standard protocols, and limited entirely to the direct channel between the execution environment and Google's official API gateways.

For inquiries regarding this developer application, technical benchmarks, or verification compliance, please refer to the official documentation and repositories linked on this homepage (tanaikech.github.io).