Azure Function for calling Cognitive Services Face API

faceapi.cs

#r "Newtonsoft.Json"

using System;
using System.Net;
using System.Net.Http;
using System.Net.Http.Headers;
using System.Linq;
using Newtonsoft.Json;
using Newtonsoft.Json.Linq;

public static TraceWriter logger = null;

public static async Task<object> Run(HttpRequestMessage req, TraceWriter log)
{    
    string myContent = req.Content.ReadAsStringAsync().Result;

    logger = log;

    if (myContent == String.Empty) {
        logger.Info("no image found");
        return req.CreateResponse(HttpStatusCode.BadRequest, new {
            error = "Image might be empty"
        });
    }

    string apiKey = "xxx#placeYourKeyHere#xxx";
    string csOCRUrl = "https://westeurope.api.cognitive.microsoft.com/face/v1.0/detect?returnFaceLandmarks=true&returnFaceAttributes=age,gender,hair,emotion";

    HttpClient client = new HttpClient();
    client.DefaultRequestHeaders.Add("Ocp-Apim-Subscription-Key", apiKey);
    client.DefaultRequestHeaders.Accept.Add(new MediaTypeWithQualityHeaderValue("application/octet-stream"));

    HttpContent content = req.Content;
    content.Headers.ContentType = new MediaTypeWithQualityHeaderValue("application/octet-stream");

    HttpResponseMessage result = await client.PostAsync(csOCRUrl, content);
    
    var csData = result.Content.ReadAsStringAsync().Result;

    if (csData != null) {

        var thelist = JsonConvert.DeserializeObject<List<Dictionary<string,object>>>(csData);
        var dictionaries = thelist.First();
        logger.Info(dictionaries.ToString());

        JObject faceAttributes = (JObject) dictionaries["faceAttributes"] ;
        logger.Info(faceAttributes.ToString());

        Dictionary<string, object> faceAttDict = faceAttributes.ToObject<Dictionary<string, object>>();
        
        JObject emotion = (JObject) faceAttDict["emotion"];
        Dictionary<string, object> emoDict = emotion.ToObject<Dictionary<string, object>>();
    
        logger.Info(emoDict.ToString());

        double happy = (double) emotion["happiness"];

        double age = (double) faceAttributes["age"];
        string gender = (string) faceAttributes["gender"];

        if (gender == "male" && age > 40 && happy > 0.5) {
            return req.CreateResponse(HttpStatusCode.OK, new {
                content_type = "105",
                content_description = "It seems like to be - Stephan the Greatest",
                code = HttpStatusCode.OK
            });
        }

        if (gender == "female" && happy > 0.5) {
            return req.CreateResponse(HttpStatusCode.OK, new {
                content_type = "106",
                content_description = "You are looking great today",
                code = HttpStatusCode.OK
            });
        }
        
        if (happy > 0.5) {
            return req.CreateResponse(HttpStatusCode.OK, new {
                content_type = "100",
                content_description = "Great to have you here today!",
                code = HttpStatusCode.OK
            });
        } else {
            return req.CreateResponse(HttpStatusCode.OK, new {
                content_type = "101",
                content_description = "Cheer up mate!",
                code = HttpStatusCode.OK
            });
        }
    }
    else {
        return req.CreateResponse(HttpStatusCode.OK, new {
            TypeOfId = "Unknown",
            code = HttpStatusCode.UnsupportedMediaType
        });
    }
    
}