As a Google Workspace Developer Advocate, I’m always exploring innovative ways to leverage technology. I’m thrilled to share my new Jupyter Notebook that showcases the power of Gemini and the Google Calendar API for productivity coaching. 🚀✨
This notebook dives into:
– Using Gemini’s multimodal capabilities to analyze calendar data. 📅
– Leveraging function calling to connect Gemini with Google Workspace APIs. 🔗
– Developing a personalized AI productivity coach. 🧑🏫
It’s amazing to see how generative AI can transform the way we work and optimize our time. ⏳
Explore the notebook on GitHub and discover how to build your own AI-powered productivity tools! 🛠️
Are you struggling to manage your time effectively? Mohammad Al-Ansari, Google Developer Advocate, has recently shared how the Gemini API can act as a personal productivity coach. The solution uses a Google Colab notebook, which is connected to the Google Calendar API. The Gemini API is used to provide personalized insights and recommendations to boost your productivity and improve your work/life balance. For those who don’t know, Google Colab is a free cloud-based platform for running Jupyter Notebooks, which are interactive coding environments that allow users to write and execute code and can be a useful tool to have in the toolbox when exploring data.
Some of the key features in Mohammad’s ‘Productivity Coach’ are:
Function Calling: This notebook uses Gemini’s ‘function calling’ capabilities, allowing it to dynamically interact with the Google Calendar API and retrieve real-time data. This ensures that the analysis and recommendations are always up-to-date and relevant to your current schedule.
Google Workspace Integration: By integrating with the Google Calendar API, this notebook shows how the Gemini API can be seamlessly integrated with other Google Workspace services. This opens up exciting possibilities for quickly experimenting with other Workspace data sources, such as Google Docs, Sheets or Drive.
Personalized Coaching: As a bonus you can see how Gemini can act as your personal productivity coach, so if nothing else you can get some tailored guidance and support about your own calendar
If you have domain-specific knowledge that you want an LLM to leverage, you probably have a use case for fine-tuning. Fine-tuning can significantly improve how well the model understands and responds to your queries, whether it’s legal documents, medical texts, financial reports, or niche industry data.
The most crucial step in this process is structuring your data correctly. If your dataset is well-organized and formatted properly, the rest of the workflow becomes much more manageable. From there, it’s just a matter of setting up a few configurations and automating parts of the process with Apps Script. That’s where things get interesting and surprisingly efficient.
The GeminiApp library, designed to bring Google’s Gemini AI models into your Google Apps Script projects, has just received a major update. This new release, version 2025.01, introduces significant enhancements that expand the library’s capabilities for building sophisticated AI-powered applications within Google Workspace.
Here’s a quick look at what’s new:
Seamless Transition: The updated library allows for a smooth transition from Google AI Studio to Vertex AI.
JSON-Controlled Generation: Generate content in JSON format, either by providing a schema or allowing the model to infer it from your prompt.
Code Execution: Generate and execute code directly within prompts using gemini-2.0 models.
System Instructions: Guide the model’s behavior by providing system instructions during initialization.
Caching: Improve efficiency and reduce token usage by caching file uploads.
Easier Copy/Paste: The library now supports initialization using both new GeminiApp() and new GoogleGenerativeAI(), making it easier to copy code from Google AI Studio.
The update includes over 1.5K new lines of code, primarily in src/GeminiApp.js, src/GoogleAICacheManager.js, and tests/tests.js. Existing projects can be updated by replacing the existing GeminiApp.gs code with the updated library. This update provides a broader set of tools to create more personalized and efficient workflows.
For those new to the GeminiApp library, multiple setup options are available. Check out the updated examples and test cases in the README.md file to get started.
This update marks a step forward for developers integrating Gemini into Google Workspace. With new features and the ability to move between Google AI Studio and Vertex AI, the possibilities are vast.
Feel free to share your use cases, code improvements, and feature requests!
Recently, I worked on a project with a client who needed to parse XML files and convert them to JSON. Simple enough, right? The catch? These XML files were massive — each containing hundreds or even thousands of trades. Naturally, the first thing I thought of was Google Apps Script’s built-in XMLService. It’s reliable, widely used, and integrates smoothly into Apps Script. But when I ran it on a file with 1,000 trades, the parsing took 45 seconds! That’s painfully slow for an automation process.
[Editor: In a recent blog post, Dmitry Kostyuk has shared a valuable tip for developers working with Google Apps Script. When faced with the task of parsing large XML files, he discovered that the built-in XMLService was causing significant slowdowns. For files containing thousands of records, the parsing process could take an agonizing 45 seconds.
Dmitry’s solution? Using his Apps Script Engine (ASE) and the xml-js NPM library. By making this switch, he was able to achieve a remarkable 10x increase in parsing speed, reducing the 45-second process to only 4 seconds.
If you’re working with Google Apps Script and large XML files, click the source post link to find out how you can give ASE and xml-js a try!]
We’re all used to dealing with iterables such as Arrays, Maps and Sets. Creating a collection of input items, transforming then outputting is what we do all the time. However, sometimes that’s not possible – for example, where we have a potentially large input data set of unknown size that would be too big to fit in memory, or perhaps an output method with rate limits. Dealing with items 1 by 1, despite being by far the simplest to code, is often the least efficient to execute – so we use a paging method to get an input chunk at a time, and a bulk method to flush out the transformed results.
All of that can get a bit tricky, especially if you add asynchronicity into the mix.The use of iterators and generators can make coding as simple as 1 in -> 1 out, while handling chunking and bulking automagically. In this article, we’ll look at how to implement these.
In this blog post, Bruce Mcpherson explores the use of iterators and generators in JavaScript and how these can be used in Google Apps Script. A generator is a special type of function that can be paused and resumed at any point, yielding values one at a time. This is unlike regular functions that return all their results at once. Generators can be useful for handling large datasets efficiently by processing items in chunks and outputting results in bulk, even when dealing with asynchronous operations.
While Apps Script doesn’t natively support generators, Bruce has found a handy converter published by Facebook to make them compatible. As part of the post Bruce includes some Apps Script samples you can test and modify, demonstrating how to apply these techniques in real-world scenarios, even within the limitations of the platform. Bruce provides clear explanations of these concepts, illustrated with practical examples like finding breweries near specific locations and well worth spending the time to digest.
Welcome to the culmination of my Google Apps Script development journey — the Apps Script Engine. This isn’t just another template; it results from countless hours of refinement, driven by the passion to create the ultimate tool for Apps Script developers. Every ounce of my experience, every lesson learned, has been poured into building this robust, opinionated, yet highly configurable template. It’s designed to empower you to confidently and easily tackle even the most complex projects.
Developing Google Apps Script projects can be a pain, especially when dealing with modern JavaScript features like ES6 modules, the need for fast local development, and integrating NPM modules. The Apps Script Engine Template tackles these challenges head-on, offering:
Seamless ES6 Modules Integration: Finally, you can use this missing JavaScript feature with Apps Script.
Blazing Fast Local Development: Mock functions and promisified google.script.run calls make local development a breeze.
Front-End Framework Support: Includes Alpine.js and Tailwind CSS out of the box, with easy TypeScript integration.
NPM Module Support: Integrate NPM modules into front-end and back-end code effortlessly.
Automated Testing: Set up with Jest, so you can ensure your code works as expected.
CI/CD Integration: Easy integration with tools like GitHub Actions and Cloud Build ensures smooth, automated deployments.
Environment Management: Easily manage different environments (DEV, UAT, PROD) with specific configurations.
[Editor] This post from Dmitry Kostyuk introduces the Apps Script Engine, a template designed to streamline Google Apps Script development. It addresses common challenges by providing seamless integration of ES6 modules, fast local development, support for front-end frameworks and NPM modules, automated testing, CI/CD integration, and environment management.
The template simplifies the setup process, allowing developers to quickly create new projects. It offers a well-structured file system, including folders for compiled files, environment management tools, and source code.
Key features include the ability to use NPM modules in both client-side and server-side code, a custom Vite plugin for bundling, and Git hooks for automated formatting and testing. The template also facilitates environment management, making it easy to deploy code to different Google Apps Script projects.
For web apps, the template supports local development with a development server, and it provides a promisified version of google.script.run for cleaner code even allowing the easy mocking of server-side functions for realistic testing. The template also allows you to build scripts for different environments and even supports deploying libraries to NPM.
This is an incredibly impressive piece of work and Dmitry is encouraging contributions: “Your feedback, fresh ideas, and contributions are not just welcome — they’re what will make this tool even better. Let’s push the boundaries of what we can achieve with Google Apps Script together!”
Project IDX allows you to use all your favourite IDE extensions and themes, but also offers AI assistance through tools like Gemini Code Assist. It also has one-click integration to many Google products such as Firebase Hosting or deploying your app to Cloud Run. A really handy feature of IDX is the ability to share a workspace with a colleague so you can collaborate and develop together in real time! …
This guide will demonstrate how to develop your Apps script code from within Project IDX, and we will even touch on how to enable Google’s AI Code Assistant to get extra help when writing your App scripts.
The current Apps Script integrated development environment (IDE) has several limitations that can hinder collaboration and productivity. One significant limitation is the lack of real-time collaboration. Multiple users cannot simultaneously edit the same script, making it challenging for teams to work together on projects. This can lead to version control issues and conflicts, especially when multiple developers are making changes concurrently.
Project IDX is an experimental cloud-based IDE developed by Google. IDX is designed to make it easier to create, edit and deploy applications eliminating the tasks of configuring development environments for yourself and your team. For Google Workspace developers already doing local code development using VS Code the interface will be familiar as IDX is also built on Code OSS.
As well as being cloud-based IDX has some useful features built-in including GitHub import, extension and a Gemini code assistant. In addition to real-time collaboration (still highly experimental), IDX features a Gemini-powered code assistant with both a suggestion tool and a sidebar chat agent for code where you can discuss your code and get additional help.
This guide by Josh McMurdo demonstrates how you can set up IDX to develop Google Apps Script projects, including the installation of the clasp command line tool to push/pull code to Apps Script projects. As IDX is able to import existing GitHub repositories if you’ve not done local Apps Script development before I recommend Amit Agarwal’s Google Apps Script Starter kit, which can be cloned in IDX from https://github.com/labnol/apps-script-starter.
Once cloned IDX will automatically run the npm install to add all the dependencies. To switch to your own GitHub repository, create a new repo then in the terminal run the following command replacing YOUR_ACCOUNT and YOUR_REPO:
One other note on Josh’s post you don’t need the Add Gemini API step. IDX comes with Gemini code assist enabled, the Add Gemini API step is only required if you want to use Gemini in your Apps Script solution.
A reminder that Google states “Project IDX is in beta. Project IDX is likely to change and is not subject to any service level agreement (SLA) or deprecation policy. The implementation is subject to change without notice and in future releases. Use caution before proceeding to use IDX in a production environment.” IDX also can’t run Apps Script code so you’ll need to use clasp to push back into your Apps Script project and debug there.
A Google Cloud run hosted puppeteer with a graphQL interface … In this article I’ll show you how to use this (I’ve called it gql-puppet ) with Apps Script
One of Apps Scripts superpowers is the ability to make HTTP requests to external services. These can be requests to other product APIs, or as in the following example, your own services. In this post from Bruce Mcpherson you can learn how you can use Google Apps Script to interact with a service he has created on Cloud Run which has a deployment of the headless browser, Puppeteer.
To interact with Puppeteer, Bruce has added GraphQL as an application interface. GraphQL is a query language that allows developers to request specific data from an API, making it more efficient and flexible than REST, which often requires multiple requests to retrieve the same data.
As Puppeteer is just a browser there are lots of things you can do like take a screenshot, print a PDF or get the page content. With GraphQL there is an interface layer to do this as well as returning specific data from a webpage.
The article has various code examples for different use cases, such as taking screenshots, extracting table data, and creating PDFs from web pages using Google Apps Script and saving the data in Google Drive. Bruce is providing access to his combined Puppeteer/Cloud Run/GraphQL solution, gql-puppet but you can also find out how you can deploy it as your own service.
In 2022, we made it easy to seamlessly access popular Education Technology tools directly in Google Classroom. We partnered with 20+ EdTech companies, including Kahoot!, Pear Deck, IXL, ReadWorks, and Nearpod, to build Google Classroom add-ons. These new integrations let educators and students easily find, use, and grade great content in their favorite EdTech tools without having to navigate to external websites and apps.
Today, we’re excited to make Classroom add-ons generally available to all developers.
Given the number of Apps Script users in EDU today’s announcement the Google Classroom add-ons now generally available for anyone to publish is probably welcome news. Whilst Google Classroom add-ons have been around for a couple of years they have historically only been created by a select few of Google partners.
Before jumping in something key to keep in mind is that while Apps Script offers a low-entry approach for most Workspace add-ons, Classroom add-ons require more technical expertise. They involve building a web application and integrating it with Classroom’s functionalities using the Google Workspace Marketplace SDK. Proficiency in web development languages like Python, Java, or Node.js is recommended and Google have published some example implementations for Python, Java and Node.js.
Whilst there are differences there are overlaps. For example like Workspace and Editor Add-ons you will need to create a Google Cloud project to publish to the Google Workspace Marketplace. As part of this you’ll have to also provide key information such as terms and conditions as well as going through the OAuth verification process.
The Google Developer documentation and other resources are linked from the source announcement.
Open-source made me a better developer, and can do the same for you.
TLDR;
This is our final stretch! We’ve navigated through building an Apps Script library, and now it’s time to discuss how you can contribute. Here’s a quick rundown of what we’ll cover:
GitHub Flow: Learn to fork the repository, create a feature branch, and make a pull request.
Guidelines: Tips on ensuring your pull request gets accepted.
Code of Conduct: We won’t delve into this, as respectful behavior is the default expectation.
License: Our library uses the MIT License, which is pretty much the one that lets you do anything you want with the code.
Issues: I will post issues that I consider a priority, but feel free to tackle any of them.
Process: Follow the steps outlined in our CONTRIBUTING.md file.
As a reminder, here are the links to the repo and the NPM page.
But first, let’s talk about what you should do before you open a pull request.
