Please do not fork this repository.

C# Rocks!

Welcome to the Wizkids C# test! The test is inspired by one of our products (AppWriter) which helps people with reading/writing problems by enabling them to read text out loud and get word suggestions (predictions) while typing.

Predictions are word completions based on the input text, for example: If the input text is I like ca the predictions could be cars, cats and cake.

The test requires you to create a small WPF project that implements the word prediction functionality with results from a custom dictionary and our word prediction web service.

If you encounter any unexpected issues please contact us at srs AT wizkids.tech and we will get back to you as soon as possible.

Scope

We expect a simply structured C# WPF application with good readability. Design and UX is not a major consideration - keeping it simple is fine.

Depending on previous experience with Windows API and WPF this may take several hours to complete.

While a simple test project you should structure it as a project meant for a business production environment.

Code-behind tasks

1. Implement a global keyboard hook.

2. Implement Microsoft Automation capable of fetching/modifying text in Notepad.

3. Implement a client for the word predictions web service.

4. Implement a service for fetching words from the custom dictionary.

5. Implement a handler for fetching Notepad text on keyboard events, use the text to get word predictions and pass the prediction results to the UI.

UI/XAML tasks

1. Write XAML code for displaying two lists of word prediction results (word prediction web service and custom dictionary).

2. On prediction results from code-behind: Display the prediction results in the two lists.

• Display the first 10 results from each prediction source.

3. Make your word predictions results clickable and insert the clicked prediction into Notepad on click.

• The word prediction should be inserted into Notepad at the location of the caret.

5. (OPTIONAL) Emphasize the part of each word prediction that has already been written.

For example, if the text is Hello, my name is J the letter J should be emphasized in the predictions John, James and June:

John
James
June

Miscellaneous tasks

1. Generate a token for use with the word predictions web service at https://services.lingapps.dk/misc/CSharpJSRocks.

2. Add your code in a Git project on GitHub and submit the link at https://services.lingapps.dk/misc/CSharpJSRocks.

Custom dictionary description

The custom dictionary is implemented as an SQLite 3 database (Dictionary.db). It contains a Wordstable with the columns Id and Value.

The database is not encrypted/does not require a password.

If you have issues downloading the database file directly (GitHub some times display a 404 error), try cloning the project instead.

Word predictions web service description

URL

https://services.lingapps.dk/misc/getPredictions

Authorization

Header: Authorization: Bearer [TOKEN] (token generated in Miscellaneous task #1)

Parameters

• locale: String, the language in which the predictions should be computed. Valid values are da-DK and en-GB.
• text: String, the text from which to compute the predictions.

Response

JSON encoded array of strings ordered by prediction probability (descending), for example: ["cars", "cats", "cake"]

Example

Request

GET /misc/getPredictions?locale=en-GB&text=I%20like%20ca HTTP/1.1
Host: services.lingapps.dk
Authorization: Bearer MjAxOS0wMS0wMQ==.dGVzdEBleGFtcGxlLmNvbQ==.MjExMWMyYjdjZGY3YTU3MmU4MTA5OWY0MDgyMmM0OTk=
Connection: Close

Response

HTTP/1.1 200 OK
Content-Length: 34
Connection: close
Content-Type: application/json

[
    "cars",
    "cats",
    "cake"
]