Translate your measures using Tabular Editor and GPT3

#r "System.Net.Http"
using System.Net.Http;
using System.Text;
using Newtonsoft.Json.Linq;

// You need to signin to https://platform.openai.com/ and create an API key for your profile then paste that key 
// into the apiKey constant below
const string apiKey = "<YOUR API KEY HERE>";
const string uri = "https://api.openai.com/v1/completions";
const string question = "In the context of an analytical data model, could you please translate the measure name \"{0}\" in the table \"{1}\" from English (en-US) to {2} with short precise business terms?\n\n";

const int oneMinute = 60000; // the number of milliseconds in a minute
const int apiLimit = 20;     // a free account is limited to 20 calls per minute, change this if you have a paid account
bool dontOverwrite = true; // this prevents existing descriptions from being overwritten

using (var client = new HttpClient()) {
    client.DefaultRequestHeaders.Clear();
    client.DefaultRequestHeaders.Add("Authorization", "Bearer " + apiKey);

    int callCount = 0;
    
    // if any measures are currently selected add those to our collection
    List<Measure> myMeasures = new List<Measure>();
    myMeasures.AddRange( Selected.Measures );

    // if no measures were selected grab all of the measures in the model
    if ( myMeasures.Count == 0) {
       myMeasures.AddRange(Model.Tables.Where(t => t.Measures.Count() > 0).SelectMany(t => t.Measures));
    } else {
		dontOverwrite = false;
	}
        
    foreach ( var m in myMeasures) {

		foreach (var culture in Model.Cultures) {
			var currentCultureName = culture.Name;
			var currentCultureDisplayName = culture.DisplayName;

			// if we are not overwriting existing descriptions then skip to the next measure if this one is not an empty string
			if (dontOverwrite && !string.IsNullOrEmpty(m.TranslatedNames[currentCultureName])) {continue; }
			
			// Only uncomment the following when running from the command line or the script will show a popup after each measure
			//Info("Processing " + m.DaxObjectFullName);

			var body = 
			"{ \"prompt\": " + JsonConvert.SerializeObject(String.Format(question, m.Name, m.Table.Name, currentCultureName)) + 
				",\"model\": \"text-davinci-003\" " +
				",\"temperature\": 1 " +
				",\"max_tokens\": 2048 " +
				",\"stop\": \".\" }";

			var res = client.PostAsync(uri, new StringContent(body, Encoding.UTF8,"application/json"));
			res.Result.EnsureSuccessStatusCode();
			var result = res.Result.Content.ReadAsStringAsync().Result;
			var obj = JObject.Parse(result);
			var desc = obj["choices"][0]["text"].ToString().Trim();
			m.TranslatedNames[currentCultureName] = desc.Trim('"');
			
			callCount++; // increment the call count
			if ( callCount % apiLimit == 0) System.Threading.Thread.Sleep( oneMinute );
		}
    }
}