Apology Letter Template Generator Generate professional apology letters for business, personal, and public situations.

Under the hood, it uses React's useState hook to store the context of the apology letter, which can be one of five options: business, personal, customer, professional, or public. The useCallback hook is used to memoize the onProcess function, which generates the apology letter based on the user's input and selected context. This function uses a Record data structure to store the templates for each context, with each template being a string that includes placeholders for dynamic values such as the situation and the user's name. When the user inputs a description of the situation, the onProcess function trims the input string and checks if it is empty, returning an error message if so. Otherwise, it returns the corresponding template from the Record data structure, with the placeholders replaced with the actual values.

The tool utilizes React's TextToolLayout component to render the user interface, which includes a text input field for the situation description, a radio button group for selecting the context, and a text output field for displaying the generated apology letter. The onProcess function is called whenever the user inputs a new situation description or changes the selected context, causing the tool to re-render with the updated apology letter. In terms of browser APIs, it relies on standard HTML and CSS for rendering the user interface, without using any external libraries or frameworks beyond React. The code is written in TypeScript, which provides additional type safety and compile-time checks to ensure that the code is correct and maintainable.

The Record data structure used to store the templates allows for efficient lookup and retrieval of the corresponding template based on the selected context, with a time complexity of O(1). This makes it suitable for handling a small number of contexts, as in this case. The use of string templates with placeholders also keeps the code concise and easy to read, while allowing for customization of the apology letters based on user input. Overall, the tool's implementation is straightforward and effective, leveraging React's features and TypeScript's type safety to provide a reliable and maintainable solution for generating apology letters.