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TypeScript Library for analyzing recipes contained in a Google Doc

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Recipe Analyzer

This repository contains a typescript library for computing nutritional data for recipes contained in a Google Doc. It contains Google Apps Script code (written in TypeScript) as well as code for analyzing nutritional data that is not specific to Apps Script .

This is not an officially supported Google product

High Level Design

(not yet implemented)

This code defines a Add-on for Google Docs, which

  • Parses recipes defined in a Google Docs document
  • Computes nutrients for these recipes
  • Provides a UI to easily edit recipes

This design allows the benefits of keeping all data in a Google doc, while extending the doc by allowing automatic computation of nutritional information, and also providing a UI that simplifies editing of recipes.

Implementation

The architecture of the docs add-on is shown below

diagram of the architecture of the add-on

The code has the following components

  • Apps Script code to parser recipes from the Google Doc and update it.
  • A TypeScript wrapper around this (run in client-side UI code) that keeps a local copy of the parsed recipe data, and keeps this in sync with the Google doc.
  • TypeScript client-side code that provides a GUI for editing the recipes and computing nutrient values.

Roadmap

The following are possible extensions/improvments

  • Allow editing ingredient in-place instead of using a separate form. This would require using the contentEditable property since we have HTML links.
  • This might also involve switching from a table to a list in the document itself.
  • Fix drag-drop UI.
  • UI for user/document level configuration.
  • Use and interface for OpenFoodFacts and FDC wrappers, and possibly unify this with recipe-related functionality.
  • Find a way to follow the cursor in the document
  • Add more unit tests
  • Maybe stop using the action-reducer pattern on the server-side so we don't have to share AppsScript and JS code. Instead, use multiple server-side functions, possibly expanding the client- and server-side wrappers to make it even simpler to wrap and mock server-side functions.

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