clean up prompts and improve quality

api/AnalysisFunction.cs

@@ -0,0 +1,116 @@
+using System.Net;
+using System.Text.Json;
+using Microsoft.Azure.Functions.Worker;
+using Microsoft.Azure.Functions.Worker.Http;
+using Microsoft.Extensions.Logging;
+using Google.GenAI;
+using System.Text.Json.Serialization;
+
+namespace CognitiveClarity.api
+{
+    public class AnalysisRequest
+    {
+        [JsonPropertyName("turnContext")]
+        public string TurnContext { get; set; } = string.Empty;
+
+        [JsonPropertyName("scenarioTitle")]
+        public string ScenarioTitle { get; set; } = string.Empty;
+
+        [JsonPropertyName("scenarioDescription")]
+        public string ScenarioDescription { get; set; } = string.Empty;
+
+        [JsonPropertyName("cbtFocus")]
+        public List<string> CBTFocus { get; set; } = new();
+    }
+
+    public class AnalysisFunction
+    {
+        private readonly ILogger _logger;
+
+        public AnalysisFunction(ILoggerFactory loggerFactory)
+        {
+            _logger = loggerFactory.CreateLogger<AnalysisFunction>();
+        }
+
+        [Function("ClinicalAnalysis")]
+        public async Task<HttpResponseData> Run(
+            [HttpTrigger(AuthorizationLevel.Anonymous, "post", Route = "analysis")] HttpRequestData req)
+        {
+            _logger.LogInformation("C# HTTP trigger function processed a clinical analysis request.");
+
+            var requestBody = await new StreamReader(req.Body).ReadToEndAsync();
+            var data = JsonSerializer.Deserialize<AnalysisRequest>(requestBody);
+
+            if (data == null || string.IsNullOrWhiteSpace(data.TurnContext))
+            {
+                var badResponse = req.CreateResponse(HttpStatusCode.BadRequest);
+                await badResponse.WriteStringAsync("Please provide turnContext in the request body");
+                return badResponse;
+            }
+
+            var apiKey = Environment.GetEnvironmentVariable("GEMINI_API_KEY");
+            if (string.IsNullOrEmpty(apiKey))
+            {
+                _logger.LogError("GEMINI_API_KEY is missing from environment variables.");
+                return req.CreateResponse(HttpStatusCode.InternalServerError);
+            }
+
+            // Initialize the Gemini Client
+            var ai = new GeminiClient(apiKey: apiKey);
+
+            var systemAnalysisPrompt = @"
+You are a master clinical psychologist specializing in Cognitive Behavioral Therapy (CBT).
+You are observing a roleplay session between a user and an AI character.
+Analyze the user's latest response for:
+1. Cognitive distortions present (if any).
+2. CBT techniques successfully applied by the user (if any).
+3. A brief, encouraging clinical insight or redirection (max 2 sentences).
+Be precise, clinical, and constructive.
+";
+
+            var analysisSystemInstruction = $@"{systemAnalysisPrompt}
+SCENARIO CONTEXT:
+Title: {data.ScenarioTitle}
+Description: {data.ScenarioDescription}
+CBT Focus Areas: {string.Join(", ", data.CBTFocus)}";
+
+            var schema = new Schema
+            {
+                Type = TypeEnum.Object,
+                Properties = new Dictionary<string, Schema>
+                {
+                    { "distortionsIdentified", new Schema { Type = TypeEnum.Array, Items = new Schema { Type = TypeEnum.String } } },
+                    { "techniquesUsed", new Schema { Type = TypeEnum.Array, Items = new Schema { Type = TypeEnum.String } } },
+                    { "clinicalInsight", new Schema { Type = TypeEnum.String } },
+                    { "feedbackType", new Schema { Type = TypeEnum.String, Enum = new List<string> { "Constructive", "Positive", "Neutral" } } }
+                },
+                Required = new List<string> { "distortionsIdentified", "techniquesUsed", "clinicalInsight", "feedbackType" }
+            };
+
+            try 
+            {
+                var response = await ai.Models.GenerateContentAsync(
+                    model: "gemini-3.0-flash", 
+                    contents: data.TurnContext,
+                    new GenerateContentConfig 
+                    {
+                        SystemInstruction = new Content { Parts = new List<Part> { new Part { Text = analysisSystemInstruction } } },
+                        ResponseMimeType = "application/json",
+                        ResponseSchema = schema
+                    });
+
+                var successResponse = req.CreateResponse(HttpStatusCode.OK);
+                successResponse.Headers.Add("Content-Type", "application/json");
+                await successResponse.WriteStringAsync(response.Text!);
+                return successResponse;
+            }
+            catch (Exception ex)
+            {
+                _logger.LogError(ex, "Failed to generate analysis via Gemini API.");
+                var errorResponse = req.CreateResponse(HttpStatusCode.InternalServerError);
+                await errorResponse.WriteStringAsync("Error communicating with Gemini API.");
+                return errorResponse;
+            }
+        }
+    }
+}