added a test link so the admin can test the interviews too, admin can now go to the landing page too, fixes for the swagger links

- Remove obsolete version lines from docker-compose.yml files
- Create root Dockerfile for ASP.NET chatbot service
- Update backend docker-compose.yml to use correct build context
- Fix all references to old nested tuna/tuna path structure

AISApp/Dockerfile

@@ -0,0 +1,46 @@
+# Multi-stage build for ASP.NET Core application
+FROM mcr.microsoft.com/dotnet/sdk:9.0 AS build
+WORKDIR /app
+
+# Copy project files
+COPY AISApp.csproj .
+COPY . .
+
+# Restore dependencies
+RUN dotnet restore AISApp.csproj
+
+# Build the application
+RUN dotnet build AISApp.csproj -c Release -o /app/build
+
+# Publish the application
+RUN dotnet publish AISApp.csproj -c Release -o /app/publish
+
+# Runtime stage
+FROM mcr.microsoft.com/dotnet/aspnet:9.0 AS runtime
+WORKDIR /app
+
+# Install curl for health checks
+RUN apt-get update && apt-get install -y curl && rm -rf /var/lib/apt/lists/*
+
+# Copy published application
+COPY --from=build /app/publish .
+
+# Copy prompt.txt file
+COPY prompt.txt .
+
+# Create directory for static files
+RUN mkdir -p static
+
+# Expose port
+EXPOSE 80
+
+# Set environment variables
+ENV ASPNETCORE_URLS=http://+:80
+ENV ASPNETCORE_ENVIRONMENT=Production
+
+# Health check
+HEALTHCHECK --interval=30s --timeout=10s --start-period=40s --retries=3 \
+  CMD curl -f http://localhost/api/chat || exit 1
+
+# Run the application
+ENTRYPOINT ["dotnet", "AISApp.dll"]

README.md

@@ -20,3 +20,5 @@ This will start the application with all necessary services.
 ---
 
 This README provides the basic steps to configure and run the AISApp project using Docker Compose and environment variables.
+
+portainer= tunaadmin/tunatainer8!

TODO.md

@@ -20,7 +20,7 @@ Integrate the ASP.NET chatbot service into the existing Node.js backend system t
 ### 1.3 Create Chatbot Service Dockerfile
 - **Status**: ✅ Completed
 - **Description**: Create proper Dockerfile for the ASP.NET chatbot service
-- **Files**: `tuna/tuna/Dockerfile`
+- **Files**: `AISApp/Dockerfile`
 - **Details**: Multi-stage build with proper .NET 9.0 runtime and configuration
 
 ## Phase 2: Backend Service Integration
@@ -54,25 +54,25 @@ Integrate the ASP.NET chatbot service into the existing Node.js backend system t
 ### 3.1 Add MySQL Database Support
 - **Status**: ✅ Completed
 - **Description**: Replace SQLite with MySQL database connection in ASP.NET service
-- **Files**: `tuna/tuna/AISApp/AIS.cs`, `tuna/tuna/AISApp/Program.cs`
+- **Files**: `AISApp/AISApp/AIS.cs`, `AISApp/AISApp/Program.cs`
 - **Details**: Add MySQL connection string and update database operations
 
 ### 3.2 Add Interview Context Endpoints
 - **Status**: ✅ Completed
 - **Description**: Create endpoints for interview initialization and context management
-- **Files**: `tuna/tuna/AISApp/Program.cs`
+- **Files**: `AISApp/AISApp/Program.cs`
 - **Details**: Add endpoints for interview start, status, and completion
 
 ### 3.3 Implement Conversation Sync
 - **Status**: ✅ Completed
 - **Description**: Sync conversation data between ASP.NET service and MySQL database
-- **Files**: `tuna/tuna/AISApp/AIS.cs`
+- **Files**: `AISApp/AISApp/AIS.cs`
 - **Details**: Update conversation persistence to use MySQL instead of SQLite
 
 ### 3.4 Add Interview-Specific Prompts
 - **Status**: ✅ Completed
 - **Description**: Modify system prompts based on job requirements and interview context
-- **Files**: `tuna/tuna/AISApp/prompt.txt`, `tuna/tuna/AISApp/AIS.cs`
+- **Files**: `AISApp/AISApp/prompt.txt`, `AISApp/AISApp/AIS.cs`
 - **Details**: Dynamic prompt generation based on job details and interview stage
 
 ## Phase 4: Database Integration

backend/docker-compose.yml

@@ -22,7 +22,7 @@ services:
 
   chatbot:
     build:
-      context: ../../tuna/tuna
+      context: ../../AISApp
       dockerfile: Dockerfile
     image: candidat/chatbot:latest
     container_name: backend-chatbot

backend/src/Server.ts

@@ -35,7 +35,12 @@ import {$log} from "@tsed/logger";
           version: process.env.APP_VERSION || "1.0.0",
           description:
             "REST API for Candivista. Authentication via JWT Bearer tokens.\n\n" +
-            "Includes endpoints for auth, users, jobs, tokens, AI, and admin reporting.",
+            "Includes endpoints for auth, users, jobs, tokens, AI-powered interviews (OpenRouter/Ollama), and admin reporting.\n\n" +
+            "AI Features:\n" +
+            "- OpenRouter integration for cloud-based AI interviews\n" +
+            "- Ollama support for local AI processing\n" +
+            "- Test mode for admin interview testing\n" +
+            "- Mandatory question support before AI interviews",
           contact: {
             name: "Candivista Team",
             url: "https://candivista.com",
@@ -51,7 +56,7 @@ import {$log} from "@tsed/logger";
           { name: "Users", description: "User profile and token summary" },
           { name: "Jobs", description: "Job posting and interview token operations" },
           { name: "Admin", description: "Administrative statistics and management" },
-          { name: "AI", description: "AI provider tests and operations" }
+          { name: "AI", description: "AI-powered interview operations with OpenRouter and Ollama support" }
         ],
         components: {
           securitySchemes: {

backend/src/controllers/rest/AIController.ts

@@ -1,5 +1,5 @@
 import { Controller } from "@tsed/di";
-import { Post, Get } from "@tsed/schema";
+import { Post, Get, Tags, Summary, Description, Returns, Security } from "@tsed/schema";
 import { BodyParams, PathParams, QueryParams } from "@tsed/platform-params";
 import { Req } from "@tsed/platform-http";
 import { BadRequest, NotFound } from "@tsed/exceptions";
@@ -8,6 +8,7 @@ import { AIService } from "../../services/AIService.js";
 import axios from "axios";
 
 @Controller("/ai")
+@Tags("AI")
 export class AIController {
   private jobService = new JobService();
   private aiService = new AIService();
@@ -17,6 +18,9 @@ export class AIController {
 
   // Test AI connection
   @Get("/test-ai")
+  @Summary("Test AI connection")
+  @Description("Test the AI service connection and configuration. Works with both Ollama and OpenRouter providers.")
+  @(Returns(200, Object).Description("AI test result with success status and response"))
   async testAI() {
     try {
       if (this.aiProvider === 'openrouter') {
@@ -60,6 +64,10 @@ export class AIController {
 
   // Get mandatory questions for the job
   @Get("/mandatory-questions/:linkId")
+  @Summary("Get mandatory interview questions")
+  @Description("Retrieve mandatory questions for a specific job interview link")
+  @(Returns(200, Object).Description("List of mandatory questions for the job"))
+  @(Returns(404, Object).Description("Interview link not found or expired"))
   async getMandatoryQuestions(@PathParams("linkId") linkId: string) {
     try {
       // Verify the job exists and link is valid
@@ -83,6 +91,11 @@ export class AIController {
 
   // Submit mandatory question answers
   @Post("/submit-mandatory-answers")
+  @Summary("Submit mandatory question answers")
+  @Description("Submit answers to mandatory interview questions before starting the AI interview")
+  @(Returns(200, Object).Description("Success response with interview data"))
+  @(Returns(400, Object).Description("Missing required fields"))
+  @(Returns(404, Object).Description("Interview link not found or expired"))
   async submitMandatoryAnswers(@BodyParams() body: any, @QueryParams() query: any) {
     try {
       const { candidateName, job, linkId, answers } = body;
@@ -135,6 +148,12 @@ export class AIController {
 
   // Start interview with AI agent (only after mandatory questions)
   @Post("/start-interview")
+  @Summary("Start AI interview")
+  @Description("Initialize an AI-powered interview session. Can be used in test mode for admins.")
+  @(Returns(200, Object).Description("Interview started successfully with initial AI message"))
+  @(Returns(400, Object).Description("Missing required fields"))
+  @(Returns(404, Object).Description("Interview link not found or expired"))
+  @(Returns(500, Object).Description("AI service unavailable"))
   async startInterview(@BodyParams() body: any, @QueryParams() query: any) {
     try {
       const { candidateName, job, linkId } = body;
@@ -197,6 +216,12 @@ export class AIController {
 
   // Handle chat messages
   @Post("/chat")
+  @Summary("Send chat message to AI")
+  @Description("Send a message to the AI interviewer and receive a response. Supports both test and production modes.")
+  @(Returns(200, Object).Description("AI response message"))
+  @(Returns(400, Object).Description("Missing required fields"))
+  @(Returns(404, Object).Description("Interview link not found or expired"))
+  @(Returns(500, Object).Description("AI service unavailable"))
   async handleChat(@BodyParams() body: any, @QueryParams() query: any) {
     try {
       const { message, candidateName, job, linkId, conversationHistory } = body;
@@ -226,7 +251,7 @@ export class AIController {
         console.log(`[DEBUG] Using frontend conversation history (test mode): ${JSON.stringify(conversationHistoryToUse, null, 2)}`);
         
         // Filter out any messages with undefined content
-        conversationHistoryToUse = conversationHistoryToUse.filter(msg => 
+        conversationHistoryToUse = conversationHistoryToUse.filter((msg: any) => 
           msg && msg.message && msg.message !== 'undefined' && msg.sender
         );
         console.log(`[DEBUG] Filtered conversation history: ${JSON.stringify(conversationHistoryToUse, null, 2)}`);
@@ -275,6 +300,10 @@ export class AIController {
 
   // Get conversation history
   @Get("/conversation/:linkId")
+  @Summary("Get conversation history")
+  @Description("Retrieve the conversation history for a specific interview")
+  @(Returns(200, Object).Description("Conversation history messages"))
+  @(Returns(404, Object).Description("Interview link not found or expired"))
   async getConversation(@PathParams("linkId") linkId: string) {
     try {
       const jobData = await this.jobService.getJobByLinkId(linkId);
@@ -304,6 +333,10 @@ export class AIController {
 
   // End interview
   @Post("/end-interview/:linkId")
+  @Summary("End interview session")
+  @Description("End an active interview session and mark it as completed")
+  @(Returns(200, Object).Description("Interview ended successfully"))
+  @(Returns(404, Object).Description("Interview link or interview not found"))
   async endInterview(@PathParams("linkId") linkId: string) {
     try {
       const jobData = await this.jobService.getJobByLinkId(linkId);

backend/src/controllers/rest/AdminController.ts

@@ -246,4 +246,21 @@ export class AdminController {
     await this.checkAdmin(req);
     return await this.adminService.getPaymentById(id);
   }
+
+  // Job Links Management
+  @Get("/jobs/:id/links")
+  @Summary("Get job links")
+  @(Returns(200).Description("Job links returned"))
+  async getJobLinks(@Req() req: any, @PathParams("id") id: string) {
+    await this.checkAdmin(req);
+    return await this.adminService.getJobLinks(id);
+  }
+
+  @Post("/jobs/:id/create-link")
+  @Summary("Create job link for testing")
+  @(Returns(200).Description("Job link created"))
+  async createJobLink(@Req() req: any, @PathParams("id") id: string, @BodyParams() linkData: any) {
+    await this.checkAdmin(req);
+    return await this.adminService.createJobLink(id, linkData.tokensAvailable || 1);
+  }
 }

backend/src/services/AdminService.ts

@@ -773,4 +773,58 @@ export class AdminService {
       connection.release();
     }
   }
+
+  // Job Links Management
+  async getJobLinks(jobId: string) {
+    const connection = await pool.getConnection();
+    
+    try {
+      const [rows] = await connection.execute(
+        'SELECT * FROM job_links WHERE job_id = ? ORDER BY created_at DESC',
+        [jobId]
+      );
+      
+      if (Array.isArray(rows)) {
+        return rows;
+      }
+      return [];
+    } catch (error) {
+      $log.error('Error getting job links:', error);
+      return [];
+    } finally {
+      connection.release();
+    }
+  }
+
+  async createJobLink(jobId: string, tokensAvailable: number = 1) {
+    const connection = await pool.getConnection();
+    
+    try {
+      // Generate a random URL slug and UUID
+      const linkId = randomUUID();
+      const urlSlug = randomUUID().replace(/-/g, '').substring(0, 8);
+      
+      await connection.execute(
+        'INSERT INTO job_links (id, job_id, url_slug, tokens_available, created_at, updated_at) VALUES (?, ?, ?, ?, NOW(), NOW())',
+        [linkId, jobId, urlSlug, tokensAvailable]
+      );
+      
+      // Get the created link
+      const [rows] = await connection.execute(
+        'SELECT * FROM job_links WHERE id = ?',
+        [linkId]
+      );
+      
+      if (Array.isArray(rows) && rows.length > 0) {
+        return rows[0];
+      }
+      
+      throw new Error('Failed to create job link');
+    } catch (error) {
+      $log.error('Error creating job link:', error);
+      throw error;
+    } finally {
+      connection.release();
+    }
+  }
 }

candidat-integrated.sln

@@ -0,0 +1,24 @@
+Microsoft Visual Studio Solution File, Format Version 12.00
+# Visual Studio Version 17
+VisualStudioVersion = 17.5.2.0
+MinimumVisualStudioVersion = 10.0.40219.1
+Project("{FAE04EC0-301F-11D3-BF4B-00C04F79EFBC}") = "AISApp", "AISApp\AISApp.csproj", "{1671248C-43AD-2D25-4F0F-918991BEF94A}"
+EndProject
+Global
+	GlobalSection(SolutionConfigurationPlatforms) = preSolution
+		Debug|Any CPU = Debug|Any CPU
+		Release|Any CPU = Release|Any CPU
+	EndGlobalSection
+	GlobalSection(ProjectConfigurationPlatforms) = postSolution
+		{1671248C-43AD-2D25-4F0F-918991BEF94A}.Debug|Any CPU.ActiveCfg = Debug|Any CPU
+		{1671248C-43AD-2D25-4F0F-918991BEF94A}.Debug|Any CPU.Build.0 = Debug|Any CPU
+		{1671248C-43AD-2D25-4F0F-918991BEF94A}.Release|Any CPU.ActiveCfg = Release|Any CPU
+		{1671248C-43AD-2D25-4F0F-918991BEF94A}.Release|Any CPU.Build.0 = Release|Any CPU
+	EndGlobalSection
+	GlobalSection(SolutionProperties) = preSolution
+		HideSolutionNode = FALSE
+	EndGlobalSection
+	GlobalSection(ExtensibilityGlobals) = postSolution
+		SolutionGuid = {14FC4F28-B89B-49C6-BD21-D4B1F80AE49C}
+	EndGlobalSection
+EndGlobal

docker-compose.yml

@@ -82,7 +82,7 @@ services:
   # Frontend Service
   frontend:
     build:
-      context: ./frontend/candidat-frontend
+      context: ./frontend
       dockerfile: Dockerfile
     image: candidat/frontend:${APP_VERSION:-latest}
     container_name: candidat-frontend
@@ -93,7 +93,7 @@ services:
       - "${FRONTEND_PORT:-3000}:3000"
     volumes:
       # Development hot reloading (only if NODE_ENV=development)
-      - ./frontend/candidat-frontend/src:/app/src:ro
+      - ./frontend/src:/app/src:ro
     depends_on:
       backend:
         condition: service_healthy
@@ -116,7 +116,7 @@ services:
   # Chatbot Service
   chatbot:
     build:
-      context: ./tuna/tuna
+      context: ./AISApp
       dockerfile: Dockerfile
     image: candidat/chatbot:${APP_VERSION:-latest}
     container_name: candidat-chatbot

frontend/FRONTEND_README.md

@@ -29,7 +29,7 @@ A stunning, responsive frontend built with Next.js 15, TypeScript, and Tailwind
 ## 🏗️ **Project Structure**
 
 ```
-frontend/candidat-frontend/
+frontend/
 ├── src/
 │   ├── app/
 │   │   ├── page.tsx              # Main landing page

frontend/src/app/page.tsx

@@ -3,6 +3,7 @@
 import { useEffect, useState } from "react";
 import { useRouter } from "next/navigation";
 import Image from "next/image";
+import axios from "axios";
 import AnimatedCounter from "@/components/AnimatedCounter";
 import FeatureCard from "@/components/FeatureCard";
 import PricingCard from "@/components/PricingCard";
@@ -17,10 +18,30 @@ export default function Home() {
     // Check if user is already logged in
     const token = localStorage.getItem("token");
     if (token) {
+      // Check if user is admin - if so, allow them to stay on landing page
+      // Non-admin users will be redirected to dashboard
+      axios.get(`${process.env.NEXT_PUBLIC_API_URL}/rest/auth/me`, {
+        headers: {
+          Authorization: `Bearer ${token}`
+        }
+      })
+      .then(response => {
+        const userData = response.data;
+        if (userData.role !== 'admin') {
           router.push("/dashboard");
         } else {
           setIsLoading(false);
         }
+      })
+      .catch(() => {
+        // If token is invalid, remove it and stay on landing page
+        localStorage.removeItem("token");
+        localStorage.removeItem("user");
+        setIsLoading(false);
+      });
+    } else {
+      setIsLoading(false);
+    }
   }, [router]);
 
   useEffect(() => {

frontend/src/components/JobManagement.tsx

@@ -137,6 +137,42 @@ export default function JobManagement() {
     setIsAddTokensModalOpen(true);
   };
 
+  const handleTestInterview = async (job: Job) => {
+    try {
+      const token = localStorage.getItem("token");
+      
+      // Get job links for this job
+      const response = await axios.get(`${process.env.NEXT_PUBLIC_API_URL}/rest/admin/jobs/${job.id}/links`, {
+        headers: {
+          Authorization: `Bearer ${token}`
+        }
+      });
+      
+      let linkId;
+      if (response.data && response.data.length > 0) {
+        // Use the first available link
+        linkId = response.data[0].url_slug;
+      } else {
+        // Create a test link if none exists
+        const createLinkResponse = await axios.post(`${process.env.NEXT_PUBLIC_API_URL}/rest/admin/jobs/${job.id}/create-link`, {
+          tokensAvailable: 1
+        }, {
+          headers: {
+            Authorization: `Bearer ${token}`
+          }
+        });
+        linkId = createLinkResponse.data.url_slug;
+      }
+      
+      // Open interview page in test mode with the correct link ID
+      const testUrl = `/interview?id=${linkId}&test=true`;
+      window.open(testUrl, '_blank');
+    } catch (error) {
+      console.error("Failed to get job link for testing:", error);
+      alert("Failed to create test interview link. Please try again.");
+    }
+  };
+
   const handleToggleJobStatus = async (job: Job) => {
     try {
       const token = localStorage.getItem("token");
@@ -392,6 +428,12 @@ export default function JobManagement() {
                 >
                   Add Tokens
                 </button>
+                <button
+                  onClick={() => handleTestInterview(job)}
+                  className="text-purple-600 hover:text-purple-800 dark:text-purple-400 dark:hover:text-purple-300 text-sm font-medium"
+                >
+                  Test Interview
+                </button>
               </div>
               <button
                 onClick={() => handleToggleJobStatus(job)}