Merge commit '718664523cb982791ec596e62b6536baca692e80' into feature/modular-ipc-system-implementation

included the requires libraries in the package.json
implemented the library into requires.js
cleaned up ffmpeg from the events

.gitignore

@@ -962,3 +962,10 @@ app.*.symbols
 !**/ios/**/default.perspectivev3
 !/packages/flutter_tools/test/data/dart_dependencies_test/**/.packages
 !/dev/ci/**/Gemfile.lock
+
+#Storage files
+storage/
+
+*.mp4
+*.wav
+*.flac

.gitlab-ci.yml

@@ -1,6 +1,33 @@
-build-job:
+workflow:
+  rules:
+    # Run the pipeline for merge requests or when committing to a branch
+    - if: $CI_PIPELINE_SOURCE == "merge_request_event"
+    - if: $CI_COMMIT_BRANCH
+
+image: python:3.14.0
+
+stages:
+  - setup
+  - test
+
+setup_environment:
+  stage: setup
   script:
-        - echo "Building the Project.."
+    - pip install --upgrade pip
-test-job:
+    - pip install -r requirements.txt
+    - echo "Dependencies installed successfully."
+
+  only:
+    - main
+    - feature/ci-pipeline-s1-09a-1  # You can add more branches if needed
+
+test_app:
+  stage: test
   script:
-        - echo "Running Tests.."        
+    - echo "Running V2D Framework basic test..."
+    - python -m unittest discover || echo "No tests found."
+
+  only:
+    - main
+    - feature/ci-pipeline-s1-09a-1
+

API-Skeleton/main.js

@@ -0,0 +1,17 @@
+const express = require('express');
+const video_Router = require("./routers/video_Router.js");
+const document_Router = require("./routers/document_Router.js");
+const app = express();
+
+const PORT = process.env.PORT || 3000;
+
+app.listen(PORT, () => 
+    console.log( "Server running on PORT", PORT)
+);
+
+app.get("/api/v1/healthcheck", async (req,res) =>{
+    res.status(200).send("running")
+});
+
+app.use("/videos", video_Router);
+app.use("/documents", document_Router);

API-Skeleton/package-lock.json

@@ -0,0 +1,842 @@
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+  "name": "api-skeleton",
+  "version": "1.0.0",
+  "lockfileVersion": 3,
+  "requires": true,
+  "packages": {
+    "": {
+      "name": "api-skeleton",
+      "version": "1.0.0",
+      "license": "ISC",
+      "dependencies": {
+        "express": "^5.1.0"
+      }
+    },
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+      "license": "MIT",
+      "dependencies": {
+        "mime-types": "^3.0.0",
+        "negotiator": "^1.0.0"
+      },
+      "engines": {
+        "node": ">= 0.6"
+      }
+    },
+    "node_modules/body-parser": {
+      "version": "2.2.0",
+      "resolved": "https://registry.npmjs.org/body-parser/-/body-parser-2.2.0.tgz",
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+        "content-type": "^1.0.5",
+        "debug": "^4.4.0",
+        "http-errors": "^2.0.0",
+        "iconv-lite": "^0.6.3",
+        "on-finished": "^2.4.1",
+        "qs": "^6.14.0",
+        "raw-body": "^3.0.0",
+        "type-is": "^2.0.0"
+      },
+      "engines": {
+        "node": ">=18"
+      }
+    },
+    "node_modules/bytes": {
+      "version": "3.1.2",
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+      "license": "ISC"
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+}

API-Skeleton/package.json

@@ -0,0 +1,15 @@
+{
+  "name": "api-skeleton",
+  "version": "1.0.0",
+  "main": "index.js",
+  "scripts": {
+    "test": "echo \"Error: no test specified\" && exit 1"
+  },
+  "keywords": [],
+  "author": "",
+  "license": "ISC",
+  "description": "",
+  "dependencies": {
+    "express": "^5.1.0"
+  }
+}

API-Skeleton/routers/document_Router.js

@@ -0,0 +1,32 @@
+const express = require('express');
+
+const router = express.Router();
+
+//Getting a list of all existing documents
+router.get("/", async(req, res) =>{
+    try {
+        res.status(200).json({documents: []});          //TODO: array full of the documents names
+    } catch (e) {
+        res.status(404).send("Documents not found");
+    }
+});
+
+//Getting a specific document
+router.get("/:id", async(req, res) => {
+    try {
+        res.status(200).json({dokument_URL: ""});       //TODO: return the specific document
+    } catch (e) {
+        res.status(404).send("Document not found");
+    }
+});
+
+//Deleting a specific document
+router.delete("/:id", async(req, res) => {
+    try {
+        res.status(200).send("Document deleted.");      //TODO: delet the specific document
+    } catch (e) {
+        res.status(500).send("Error trying to delete a document");
+    }
+});
+
+module.exports = router;

API-Skeleton/routers/video_Router.js

@@ -0,0 +1,45 @@
+const express = require('express');
+
+const router = express.Router();
+
+//Uploading a video file
+router.post("/", async(req, res) =>{
+    try{
+        res.status(201).json({video:"VideoID"});       //TODO: return id as json
+    }
+    catch(e){
+        res.status(500).send("Error trying to upload video file.");
+    }
+    
+});
+
+//Requesting a list of all video files
+router.get("/", async(req, res) => {
+    try {
+        res.status(200).json({videos:[]});          //TODO: return a json array showing all video files
+    } catch (e) {
+        res.status(500).send("Error trying to get the video files.")
+    }
+    
+});
+
+//Getting a video file by id
+router.get("/:id", async(req, res) => {
+    try {
+        res.status(200).json({video: "id"});        //TODO: return the details regarding a specific video
+    } catch (e) {
+        res.status(401).send("Unknown ID.")
+    }
+});
+
+//Deleting a video file
+router.delete("/:id", async(req, res) =>{
+    try {
+        res.status(200).send("Deleted file.");      //TODO: delet the video file
+    } catch (e) {
+        res.status(204).send("No content.");
+    }
+});
+
+//To make the router useable in the main.js file
+module.exports = router;

app/main.py

@@ -0,0 +1,7 @@
+from fastapi import FastAPI
+
+app = FastAPI()
+
+@app.get("/health")
+def health_check():
+    return {"status": "ok"}

config/config.js

@@ -0,0 +1,13 @@
+module.exports = {
+    database:{
+        /*
+            Here is an example structure of the config file
+            You can ofcourse change anything here to suit your needs
+            This structure is useful if you are using a mysql/mariadb database for example
+        */
+        host:"",            // Server IP and port if you have set a different port
+        username:"",        // Username for the database user
+        password:"",        // Password for the database user
+        database:""         // Name of the database
+    }
+}

electron/main/index.html

@@ -0,0 +1,69 @@
+<!DOCTYPE html>
+<html lang="de">
+<head>
+  <meta charset="UTF-8">
+  <meta name="viewport" content="width=device-width, initial-scale=1.0">
+  <title id="title">Video to document</title>
+  <link rel="stylesheet" href="style.css">
+</head>
+<body>
+ 
+<div class="mitte" id="mitte"> 
+  <div class="labelDiv" id="labelDiv">
+    <label id="labelKI">Select ki:</label>
+    <label id="labelTranscription">Select transcription:</label>
+    <label id="labelLanguage">Select language:</label>
+    <img id="labelLanguageFlag" src="flags/united-kingdom-flag-png-large.jpg" width="20" height="10" >
+  </div>
+  <div class="dropdownMenus" id="dropdownMenus">
+    <select name="ai_type" id="ai_type">
+    </select>
+    <select name="transkript_type" id="transkript_type">
+    </select>
+    <select name="output_type" id="output_type">
+      <option value="mp4">mp4</option>
+    </select>
+    <select name="language_option" id="language_option">
+    </select>
+  </div>
+
+  <h1 id="h1">Video to document</h1> 
+
+  <div class="upload-container" id="uploadContainer">
+    <p id="p1">Drag and drop video file</p>
+    <video id="previewThumbnail" autoplay="false">
+    </video>
+    <div class="file-name" id="fileName">No video chosen</div>
+    <div id="thumbnailContainer">
+      <img id="thumbnailImage" style="display:none;">
+    </div>
+      <button class="custom-btn" id="manualUploadBtn">Search video</button>
+  <input type="file" id="videoUpload" accept="video/*">
+  </div>
+
+<div class="checkbox-group">
+  <label id="checkbox_group" for="checkbox-group">Choose prefered document style:</label>
+  <div class="checkbox-container">
+    <input type="checkbox" name ="docFormat" id="docFormat" value="Meeting report">
+    <label id="label_format" for="docFormat">Meeting report</label>
+  </div>
+
+  <div class="checkbox-container">
+    <input type="checkbox" name="docFormat" id="docFormatSummary" value="Summary with timestamps">
+    <label id="label_summary" for="docFormatSummary">Summary with timestamps</label>
+  </div>
+</div>
+
+<button class="submit-btn" id="submitButton" onclick="checkBoxes()" disabled>Submit</button>
+
+<div class="progressbar" id="progressbar">
+  <div class="progress_fill"></div>
+  <span class="progress_text">0%</span>
+</div>
+</div>
+  
+<script src="languages.js"></script>
+<script src="script.js"></script>
+<script src="./renderer.js"></script>
+</body>
+</html>

electron/main/languages.js

@@ -0,0 +1,48 @@
+var languageOptions = {
+    "eng":{
+        "flagPath": "flags/united-kingdom-flag-png-large.jpg",
+        "labelKI": "Select ki:",
+        "labelTranscription": "Select transcription:",
+        "labelLanguage": "Select language:",
+        "title": "Video to document",
+        "h1": "Video to document",
+        "p1": "Drag and drop video file",
+        "fileName": "No video chosen",
+        "manualUploadBtn": "Search video",
+        "checkbox_group": "Choose prefered document style:",
+        "label_format": "Meeting report",
+        "label_summary": "Summary with timestamps",
+        "submitButton": "Submit"
+    },
+    "de":{
+        "flagPath": "flags/germany-flag-png-large.jpg",
+        "labelKI": "Waehle KI:",
+        "labelTranscription": "Waehle Transkription:",
+        "labelLanguage": "Waehle Sprache:",
+        "title": "Video zu Dokument",
+        "h1": "Video zu Dokument",
+        "p1": "Video per Drag & Drop ablegen",
+        "fileName": "Kein Video ausgewaehlt",
+        "manualUploadBtn": "Video suchen",
+        "checkbox_group": "Bevorzugte Dokumentvarianten:",
+        "label_format": "Meeting Bericht",
+        "label_summary": "Zusammenfassung mit Zeitstempeln",
+        "submitButton": "Absenden"
+    },
+    "in":{
+        "flagPath": "flags/india-flag-png-large.png",
+        "labelKI": "की का चयन करें:",
+        "labelTranscription": "प्रतिलेखन चुनें:",
+        "labelLanguage": "भाषा चुने:",
+        "title": "दस्तावेज़ के लिए वीडियो",
+        "h1": "दस्तावेज़ के लिए वीडियो",
+        "p1": "वीडियो फ़ाइल खींचें और छोड़ें",
+        "fileName": "कोई वीडियो नहीं चुना गया",
+        "manualUploadBtn": "वीडियो खोजें",
+        "checkbox_group": "पसंदीदा दस्तावेज़ शैली चुनें:",
+        "label_format": "बैठक रिपोर्ट",
+        "label_summary": "टाइमस्टैम्प के साथ सारांश",
+        "submitButton": "जमा करना"
+    }
+    
+};

electron/main/main.js

@@ -0,0 +1,44 @@
+import { app, BrowserWindow, ipcMain, dialog } from 'electron';
+import { exec } from 'child_process';
+import path from 'path';
+import { fileURLToPath } from 'url';
+
+const __filename = fileURLToPath(import.meta.url);
+const __dirname = path.dirname(__filename);
+
+let mainWindow;
+
+function createWindow() {
+  mainWindow = new BrowserWindow({
+    width: 800,
+    height: 600,
+    webPreferences: {
+      nodeIntegration: false,
+      contextIsolation: true,
+      preload: path.join(__dirname, 'preload.js')
+    }
+  });
+
+  mainWindow.loadFile('main/index.html');
+}
+
+app.whenReady().then(createWindow);
+
+// Kommunikation vom Renderer (Frontend)
+ipcMain.handle('convert-video', async (event, filePath) => {
+  const output = path.join(path.dirname(filePath), 'converted.mp4');
+
+  return new Promise((resolve, reject) => {
+    exec(`ffmpeg -i "${filePath}" -vcodec libx264 "${output}"`, (error, stdout, stderr) => {
+      if (error) {
+        console.error('Fehler beim Konvertieren:', error);
+        reject(error);
+      } else {
+        console.log('Konvertierung abgeschlossen:', output);
+        resolve(output);
+      }
+    });
+  });
+});
+
+

electron/main/preload.js

@@ -0,0 +1,27 @@
+const { contextBridge, ipcRenderer, webUtils } = require('electron')
+
+try {
+    contextBridge.exposeInMainWorld("explorer", {
+        onFileDrop: (file) => webUtils.getPathForFile(file)
+    })
+    contextBridge.exposeInMainWorld("submit", {
+        submit: (meeting_specifications) => {ipcRenderer.send("file_submit", meeting_specifications)}
+    })
+    contextBridge.exposeInMainWorld("electronAPI", {
+        getFilePath: (file) => {return webUtils.getPathForFile(file)}
+    })
+
+    contextBridge.exposeInMainWorld("onStartup", {
+        getModuleNames: () => ipcRenderer.invoke('get-module-names')
+    })
+
+
+
+    ipcRenderer.on("progress", (event, resp) => {
+        alert(`Finished step ${resp.curstep} of ${resp.totalsteps}`)
+    })
+
+    ipcRenderer.on("error", (event, err) => {alert(err)})
+} catch (error) {
+    console.log("Error in preload.js");
+}

electron/main/renderer.js

@@ -0,0 +1,87 @@
+
+uploadContainer.addEventListener("dragover", (e) =>{
+    try {
+        e.stopPropagation();
+        e.preventDefault();
+    } catch (error) {
+        console.log("Error in renderer.js dragover listener function")
+    }
+    
+});
+
+//listener for when a file get dropped on the drag&drop field
+uploadContainer.addEventListener("drop", (e) => {
+    try {
+        e.stopPropagation()
+        e.preventDefault()
+        const files = e.dataTransfer.files
+        const filePath = window.explorer.onFileDrop(files[0])
+        const testEndings = [".mp4", ".mov", ".avi", ".mkv"];
+        var pathToLower = filePath.toLowerCase();
+        if(testEndings.some(e => pathToLower.endsWith(e))){
+          document.getElementById("progressbar").style.visibility = "visible";
+            const files1 = e.dataTransfer.files;
+            handleFiles(files1);
+        }else{
+          alert('The given file is not compatible. These are the available types: [".mp4", ".mov", ".avi", ".mkv"].');
+        }
+    
+    } catch (error) {
+        console.log("Error in renderer.js with the listerner for the drop function");
+    } 
+})
+
+window.addEventListener('load', async (e) => { 
+  try {
+      console.log("test");
+      loadLanguageOptions(); 
+      const value = await window.onStartup.getModuleNames();
+      loadAiOptions(value.ai_modules);
+      loadTranscriptionOptions(value.transcription_modules);
+
+  } catch (error) {
+      
+  }
+    
+});
+
+language_option.addEventListener('change', (e)=>{
+    try {
+        const select = document.getElementById('language_option');
+        changeLanguage(select.value);
+    } catch (error) {
+        
+    }
+    
+});
+
+videoUpload.addEventListener("change", () => {
+  try {
+    activateSubmitBtn(videoUpload.files.length > 0);
+  } catch (error) {
+    console.log(error);
+  }
+  
+});
+
+//listener for the file explorer search when something got selected
+videoUpload.addEventListener('change', () => {
+  try {
+    handleFiles(videoUpload.files);
+  } catch (error) {
+    console.log("Error in manualBtn EventListener change");
+    console.log(error);
+  }
+  
+});
+
+//listener for the file explorer search
+manualUploadBtn.addEventListener('click', () => {
+  try {
+    videoUpload.click();
+  } catch (error) {
+    console.log("Error in manualBtn EventListener click");
+    console.log(error);
+  }
+  
+});

electron/main/script.js

@@ -0,0 +1,214 @@
+
+//function to check if one checkbox is at least klicked
+function checkBoxes() {
+  try {
+    const checkboxes = document.querySelectorAll('input[name="docFormat"]');
+    let isChecked = false;
+    var checkedCounter = 0;
+    checkboxes.forEach(function(checkbox){
+      if(checkbox.checked){
+        isChecked = true;
+        checkedCounter++;
+      }
+    });
+
+    if(isChecked){
+      //Code to submit the video
+      var selectedCheckboxes = {};
+      checkboxes.forEach(function(checkbox){
+        if(checkbox.checked){
+          selectedCheckboxes[checkbox.nextElementSibling.textContent] = "";
+        } 
+      });
+
+      const testEndings = [".mp4", ".mov", ".avi", ".mkv"];
+      var pathTest = window.electronAPI.getFilePath(videoUpload.files[0]);
+      var pathToLower = pathTest.toLowerCase();
+      if(testEndings.some(e => pathToLower.endsWith(e))){
+        document.getElementById("progressbar").style.visibility = "visible";
+        //assembly of the json for the main
+
+        const selectedStyles = [checkedCounter];
+        var iter = 0;
+        checkboxes.forEach(function(checkbox){
+        if(checkbox.checked){
+          console.log(checkbox.value);
+          selectedStyles[iter] = {iter: checkbox.value};
+          iter++;
+          } 
+        });
+        console.log(selectedCheckboxes);
+        const outputType = document.getElementById("output_type");
+        const transcriptionType = document.getElementById("transkript_type");
+        const aiType = document.getElementById("ai_type");
+        const sendingPackage = {
+          "video": {
+            "module":"extraction-video-to-audio",
+            "inputVideoPath": pathTest,
+            "outputType": outputType.value
+          },
+          "transcription": {
+            "module": transcriptionType.value
+          },
+          "document": {
+            "module":aiType.value,
+            "styles": selectedStyles
+          }
+        };
+        window.submit.submit(sendingPackage)
+      }else{
+        alert('The given file is not compatible. These are the available types: [".mp4", ".mov", ".avi", ".mkv"].');
+      }
+    } else {
+      //language only english at the moment
+      alert('Please select at least one document type.');
+    }
+  } catch (error) {
+    console.log("Error in script.js checkBoxes function");
+    console.log(error);
+  }
+  
+}
+
+//language changing feature
+function changeLanguage(language) {
+  try {
+    document.getElementById('labelLanguageFlag').src = languageOptions[language].flagPath;
+    document.getElementById('labelKI').textContent = languageOptions[language].labelKI;
+    document.getElementById('labelTranscription').textContent = languageOptions[language].labelTranscription;
+    document.getElementById('labelLanguage').textContent = languageOptions[language].labelLanguage;
+    document.getElementById('title').textContent = languageOptions[language].title;
+    document.getElementById('h1').textContent = languageOptions[language].h1;
+    document.getElementById('p1').textContent = languageOptions[language].p1;
+    document.getElementById('fileName').textContent = languageOptions[language].fileName;
+    document.getElementById('manualUploadBtn').textContent = languageOptions[language].manualUploadBtn;
+    document.getElementById('checkbox_group').textContent = languageOptions[language].checkbox_group;
+    document.getElementById('label_format').textContent = languageOptions[language].label_format;
+    document.getElementById('label_summary').textContent = languageOptions[language].label_summary;
+    document.getElementById('submitButton').textContent = languageOptions[language].submitButton;
+
+  } catch (error) {
+    console.log("Error in script.js changeLanguage function");
+    console.log(error);
+  }
+        
+}
+
+//function to display the file path in the drop down box
+function handleFiles(files) {
+  try {
+    if (files.length > 0) {
+      const file = files[0];
+      if (file.type.startsWith('video/')) {
+        const filePath = window.explorer.onFileDrop(files[0])
+        videoUpload.files = files;
+        fileName.textContent = `Chosen video: ${file.name}`;
+        generateThumbnail(filePath);
+        activateSubmitBtn(true);
+      }
+    }
+  } catch (error) {
+    console.log("Error in script.js handleFiles function");
+    console.log(error);
+  }
+  
+}
+
+//function to regulate the progress on the progressbar
+function updateProgressBar(bar, value){
+  try {
+    value = Math.round(value);
+    bar.querySelector(".progress_fill").style.width = `${value}%`;
+    bar.querySelector(".progress_text").textContent = `${value}%`;
+  } catch (error) {
+    console.log("Error in scripts.js updateProgressBar function");
+    console.log(error);
+  }
+  
+}
+
+//function to load ai options to the drop down list
+function loadAiOptions(options){
+  try {
+    var menu = document.getElementById('ai_type');
+    var object_holdy;
+    var choice ;
+    object_holdy = options
+    for(i = 0; i < options.length; i++){
+      choice = document.createElement('option');
+      choice.textContent = object_holdy[i].displayname;
+      choice.value = object_holdy[i].name;
+      menu.appendChild(choice);
+    }
+  } catch (error) {
+    console.log("Error in script.js loadAiOptions function");
+    console.log(error);
+  }
+}
+
+//function to load transcription options to the drop down list
+function loadTranscriptionOptions(options){
+  try {
+    var menu = document.getElementById('transkript_type');
+    var object_holdy;
+    var choice ;
+    object_holdy = options
+    for(i = 0; i < options.length; i++){
+      choice = document.createElement('option');
+      choice.textContent = object_holdy[i].displayname;
+      choice.value = object_holdy[i].name;
+      menu.appendChild(choice);
+    }
+  } catch (error) {
+    console.log("Error in script.js function loadTranscriptionOptions");
+    console.log(error);
+  }
+}
+
+//function to load language options to the drop down list
+function loadLanguageOptions(){
+  try {
+    var menu = document.getElementById('language_option');
+    var object_holdy;
+    var choice ;
+    object_holdy = Object.keys(languageOptions);
+    for(i = 0; i < object_holdy.length; i++){
+      choice = document.createElement('option');
+      choice.textContent = object_holdy[i];
+      choice.value = object_holdy[i];
+      menu.appendChild(choice);
+    }
+    
+  } catch (error) {
+    console.log("Error in script.js loadLanguageOptions function");
+    console.log(error);
+  }
+}
+
+function activateSubmitBtn(hasFile){
+  try {
+    submitButton.disabled = !hasFile;
+  } catch (error) {
+    console.log(error);
+  }
+}
+
+function deaktivateProgressbar(){
+  try {
+    document.getElementById("progressbar").style.visibility = "hidden";
+  } catch (error) {
+    console.log(error);
+  }
+}
+
+//Video thumbnail generation
+function generateThumbnail(path){
+  const videoElement = document.getElementById("previewThumbnail");
+  while (videoElement.firstChild) videoElement.removeChild(videoElement.firstChild);
+  videoElement.src = path;
+  videoElement.type = "video/mov";
+  videoElement.load();
+  videoElement.style.maxWidth = 40;
+  videoElement.style.maxHeight = 40;
+  videoElement.autoplay = false;
+}

electron/main/style.css

@@ -0,0 +1,188 @@
+body {
+  font-family: Arial, sans-serif;
+  display: flex;
+  flex-direction: column;
+  justify-content: center;
+  align-items: center;
+  height: 100vh;
+  background-color: #f2f3f4;
+  gap: 15px;
+  margin: 0;
+}
+ 
+ 
+.upload-container {
+  background: white;
+  padding: 40px;
+  border-radius: 12px;
+  box-shadow: 0 4px 10px rgba(0,0,0,0.1);
+  text-align: center;
+  width: 350px;
+  height: 200px;
+  transition: border 0.3s, background-color 0.3s;
+  border: 2px dashed #7378c9;
+}
+ 
+ 
+.upload-container.dragover {
+  border-color: #007BFF;
+  background-color: #eaf0ff;
+}
+ 
+ 
+.upload-container p {
+  margin: 0 0 15px 0;
+  font-size: 16px;
+  color: #555;
+}
+ 
+ 
+.file-name {
+  margin-top: 10px;
+  font-size: 14px;
+  color: #333;
+  overflow: hidden;
+  text-overflow: ellipsis;
+  white-space: nowrap;
+}
+ 
+#thumbnailContainer {
+  width: 100%;
+  display: flex;
+  justify-content: center;
+  margin-bottom: 15px;
+}
+ 
+#thumbnailImage {
+  width: 200px;
+  height: auto;
+  border-radius: 10px;
+  box-shadow: 0px 4px 10px rgba(0,0,0,0.1);
+  object-fit: cover;
+}
+
+#previewThumbnail {
+  width: 150px;
+  height: 100px;
+  /*border: 1px dashed black;*/
+}
+ 
+.custom-btn {
+  padding: 10px 20px;
+  margin-top: 10px;
+  background-color: #007BFF;
+  color: white;
+  border: none;
+  border-radius: 8px;
+  cursor: pointer;
+  font-size: 14px;
+}
+ 
+ 
+.custom-btn:hover {
+  background-color: #0056b3;
+}
+ 
+.submit-btn:hover {
+  background-color: #0056b3;
+}
+ 
+input[type="file"] {
+  display: none;
+}
+ 
+.checkbox-container{
+margin-top: 8px;
+display: flex;
+align-items: center;
+gap: 5px;
+}
+ 
+.checkbox-group {
+  margin-top: 15px;
+  margin-bottom: 15px;
+  display: flex;
+  flex-direction: column;
+  gap: 10px;
+  align-items: flex-start;
+}
+ 
+.submit-btn {
+  padding: 10px 20px;
+  margin-top: 10px;
+  margin-bottom: 10px;
+  background-color: #007BFF;
+  color: white;
+  border: none;
+  border-radius: 8px;
+  cursor: pointer;
+  font-size: 14px;
+}
+ 
+.submit-btn:disabled {
+  opacity: 0.5;
+  cursor: not-allowed;
+  pointer-events: none;
+}
+ 
+.mitte {
+  background-color: #FDFCFA;
+  display: flex;
+  width: 700px;
+  flex-direction: column;
+  align-items: center;
+  padding: 5% 50px;
+  margin-top: 20px;
+  gap: 10px;
+  border: 0px;
+  border-color: black;
+  border-style: solid;
+  border-radius: 6px;
+  box-shadow: 0px 4px 10px rgba(0,0,0,0.1);
+}
+ 
+h1 {
+  align-content: center;
+}
+ 
+.progressbar{
+  position: relative;
+  width: 210px;
+  height: 30px;
+  background: rgb(42, 46, 78);
+  border-radius: 5px;
+  overflow: hidden;
+  visibility: hidden;
+}
+ 
+.progress_fill{
+  width: 0%;
+  height: 100%;
+  background: green;
+  transition: all 0.2s;
+}
+ 
+.progress_text{
+  position: absolute;
+  top: 50%;
+  right: 5px;
+  transform: translateY(-50%);
+  color: white;
+}
+
+
+.dropdownMenus {
+  display: flex;
+  justify-content: flex-end;
+  margin-top: 1px;
+  gap: 150px;
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+}
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+}
+
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+}

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+}

electron/package.json

@@ -0,0 +1,16 @@
+{
+  "name": "electron",
+  "version": "1.0.0",
+  "main": "main/main.js",
+  "type": "module",
+  "scripts": {
+    "start": "electron.",
+    "test": "echo \"Error: no test specified\" && exit 1"
+  },
+  "author": "",
+  "license": "ISC",
+  "description": "",
+  "devDependencies": {
+    "electron": "^39.0.0"
+  }
+}

main.js

@@ -0,0 +1,216 @@
+// Loading required packages
+require("./requires.js")
+console.log(start);
+
+
+// Initialising map to be used to store the functionality later on for reloadability
+mapFunctions = new Map()
+
+
+// Loading the Function Map
+var path = `${mainDir}/services/modules`
+var folders = fs.readdirSync(path).filter(function (file) {
+    return fs.statSync(path+'/'+file).isDirectory();
+});
+folders.forEach(element => {
+    var commandFiles = fs.readdirSync(`${path}/${element}`).filter(file => file.endsWith('.js') && !file.startsWith("index"));
+    for (const file of commandFiles) {
+        delete require.cache[require.resolve(`${path}/${element}/${file}`)];
+        const command = require(`${path}/${element}/${file}`);
+        mapFunctions.set(command.name, command);
+    }
+});
+
+
+
+// The startup information for the project, here you can add stuff that might be nice to see when the app starts
+mapFunctions.get("Startup_function").function()
+console.log("------------------------------------ Status ------------------------------------");
+console.log(__dirname);
+console.log(platform);
+console.log(`The Startup took ${new Date() - start}ms`)
+console.log(`${mapFunctions.size} Function modules loaded`);
+console.log("--------------------------------------------------------------------------------");
+
+
+
+
+// --------------------------------------------------------- CLI COMMANDS --------------------------------------------------------- //
+
+const rl = readline.createInterface({
+    input: process.stdin,
+    output: process.stdout
+});
+
+
+rl.on("line", data =>{
+    const args = data.trim().split(" ");
+    const command = args.shift().toLowerCase();
+    mapFunctions.get("cliCommands").function(command, args)
+})
+
+
+
+
+
+// ----------------------------------------------------------- ELECTRON ----------------------------------------------------------- //
+
+let mainWindow;
+
+function createWindow() {
+    mainWindow = new electron.BrowserWindow({
+        width: 800,
+        height: 800,
+        webPreferences: {
+            nodeIntegration: false,
+            contextIsolation: true,
+            preload: `${mainDir}/electron/main/preload.js`
+        }
+    });
+
+    mainWindow.loadFile('./electron/main/index.html');
+}
+
+electron.app.whenReady().then(createWindow);
+
+
+// electron.ipcMain.on("extract", (event, args) => {
+//     mapFunctions.get("extraction-video-to-audio").function(args)
+// })
+
+// setTimeout(() => {
+//     mainWindow.webContents.send("fuck", "worked uwu")
+// }, 5000);
+
+electron.ipcMain.handle('get-module-names', async () => {
+    let module_array = {
+        "ai_modules":[],
+        "transcription_modules":[]
+    }
+    mapFunctions.forEach(e => {
+        switch(e.type){
+            case "llm":
+                module_array.ai_modules.push({"name": e.name, "displayname": e.displayname})
+                break;
+            case "transcription":
+                module_array.transcription_modules.push({"name": e.name, "displayname": e.displayname})
+                break;
+        }
+    })
+    // console.log(module_array);
+    return module_array
+});
+
+
+// electron.ipcMain.on("get_modules", async (event, args) => {
+//     let module_array = {
+//         "ai_modules":[],
+//         "transcription_modules":[]
+//     }
+//     mapFunctions.forEach(e => {
+//         switch(e.type){
+//             case "llm":
+//                 module_array.ai_modules.push({"name": e.name, "displayname": e.displayname})
+//                 break;
+//             case "transcription":
+//                 module_array.transcription_modules.push({"name": e.name, "displayname": e.displayname})
+//                 break;
+//         }
+//     })
+//     console.log(module_array);
+
+//     mainWindow.webContents.send("modules", module_array)
+// })
+
+
+
+electron.ipcMain.on("file_submit", async (event, args) => {
+    try {
+        let curstep = 0
+        let totalsteps = 2 + args.document.styles.length
+
+        if(args.document.styles.length == 0)
+            throw new Error("At least one Document Style needed");
+
+
+        console.log(args);
+        let audiopath = ""
+        let transcriptpath = ""
+
+        // This code handles the Video to Audio extraction module call
+        await mapFunctions.get("module-handler").function(args.video.module, {inputVideoPath: args.video.inputVideoPath, outputType: args.video.outputType}).then(resp => {
+            // console.log(resp);
+            audiopath = resp
+            curstep++
+            mainWindow.webContents.send("progress", {curstep:curstep, totalsteps:totalsteps})
+        }).catch(err => {
+            mainWindow.webContents.send("error", err)
+            return
+        })
+
+
+        // TODO implement transcription module
+        // // This code handles the Audio to Text transcription module call
+        // await mapFunctions.get("module-handler").function(args.transcription.module, audiopath).then(resp => {
+        //     console.log(resp);
+        //     transcriptpath = resp
+        //     curstep++
+        //     mainWindow.webContents.send("progress", {curstep:curstep, totalsteps:totalsteps})
+        // }).catch(err => {
+        //     mainWindow.webContents.send("error", err)
+        //     return
+        // })
+
+        // TODO implement documentation module
+        // // This code handles the Text to Document processing module call
+        // for (let i = 0; i < args.document.styles.length; i++) {
+        //     await mapFunctions.get("module-handler").function(args.document.module, {prompt: args.document.styles[i].prompt, transcript: transcriptpath}).then(resp => {
+        //         console.log(resp);
+        //         transcriptpath = resp
+        //         curstep++
+        //         mainWindow.webContents.send("progress", {curstep:curstep, totalsteps:totalsteps})
+        //     }).catch(err => {
+        //         mainWindow.webContents.send("error", err)
+        //         return
+        //     })
+        // }
+
+
+    } catch (error) {
+        console.log(error);
+    }
+})
+
+
+
+let q =
+{
+    video: {
+        module: "String", // The name of the module, idk if we ever implement other extraction modules, the default one is extraction-video-to-audio
+        inputVideoPath: "String", // See script.js on line 27 for an example of what this should look like
+        outputType: "String" // The file format to be used for the audio output file, such as wav, mp3, flac and so on
+    },
+    transcription:{
+        module: "String" // The module name of the transcription model you want to use
+    },
+    document:{
+        module: "String", // The module name of the AI model you want to use to create the document
+        styles: [ // An array of all the document styles/prompts you want to have the document be processed with
+            {
+                prompt: "String",
+            }
+        ]
+    }
+}
+
+
+let q1 = {
+    "ai_modules":    [
+        {name:"abc", displayname:"ABC"},
+        {name:"qeg", displayname:"aqghegahu"}
+    ],
+    "transcription_modules":    [
+        {name:"abc", displayname:"ABC"},
+        {name:"qeg", displayname:"aqghegahu"}
+    ]
+}

package.json

@@ -0,0 +1,37 @@
+{
+  "dependencies": {
+    "@google/genai": "^1.30.0",
+    "@types/axios": "^0.9.36",
+    "cli-progress": "^3.12.0",
+    "dotenv": "^17.2.3",
+    "electron": "^39.1.1",
+    "express": "^5.1.0",
+    "ffmpeg-static": "^5.2.0",
+    "fluent-ffmpeg": "^2.1.3"
+  },
+  "devDependencies": {
+    "@types/cli-progress": "^3.11.6",
+    "@types/fluent-ffmpeg": "^2.1.28",
+    "@types/node": "^24.9.2",
+    "ts-node": "^10.9.2",
+    "typescript": "^5.9.3"
+  },
+  "name": "video2document",
+  "version": "1.0.0",
+  "description": "To make it easy for you to get started with GitLab, here's a list of recommended next steps.",
+  "main": "main.js",
+  "directories": {
+    "doc": "docs",
+    "test": "tests"
+  },
+  "scripts": {
+    "start": "electron main.js",
+    "test": "echo \"Error: no test specified\" && exit 1"
+  },
+  "repository": {
+    "type": "git",
+    "url": "https://gitlab.rlp.net/proj-wise2526-video2document/video2document"
+  },
+  "author": "",
+  "license": "ISC"
+}

requirements.txt

@@ -0,0 +1,3 @@
+fastapi
+uvicorn
+pytest

requires.js

@@ -0,0 +1,19 @@
+// Here you can define all the packages that you want to use
+// You can also define variables that you want to be able to use in your entire project, like platform or mainDir in this example
+// Make sure to define them like these examples here, as they will then be available as global variables throughout your entire project
+start           = new Date()
+platform        = process.platform
+mainDir         = __dirname
+fs              = require("fs")
+readline        = require("readline")
+config          = require("./config/config")
+
+ffmpegPath = require('ffmpeg-static');
+ffmpeg = require('fluent-ffmpeg');
+path = require('path');
+cliProgress = require('cli-progress');
+
+// { app, BrowserWindow, ipcMain, dialog } = require('electron');
+
+electron = require('electron');
+genai    = require("@google/genai"); 

services/modules/extraction/ffmpegExtractor.js

@@ -0,0 +1,91 @@
+// Ensure ffmpeg binary is available
+if (!ffmpegPath) {
+    throw new Error('FFmpeg binary not found!');
+}
+ffmpeg.setFfmpegPath(ffmpegPath);
+
+// Prepare output directory (always storage/audio under project root)
+const outputDir = `${__dirname}/../../../storage/audio`;
+if (!fs.existsSync(outputDir)) {
+    fs.mkdirSync(outputDir, { recursive: true });
+}
+
+
+
+module.exports = {
+    name:"extraction-video-to-audio", // Unique name for our function that will later be used to get the function from the map via "mapFunctions.get("example").function()"
+    type:"extractor", // value used to differentiate each module to order them in the UI
+    displayname:"Default extractor", // The displayname used within the UI
+    async function(parameter){
+        /*
+        parameter structure:
+        {
+            inputVideoPath: String, // Path to the file
+            outputType: String      // Audio file output format
+        }
+        */
+        let progressBar = new cliProgress.SingleBar({
+            format: 'Processing |{bar}| {percentage}% | {timemark}',
+            barCompleteChar: '\u2588',
+            barIncompleteChar: '\u2591',
+            hideCursor: true
+        });
+        try {
+            return new Promise((resolve, reject) => {
+                this.extractAudioFromVideo(parameter.inputVideoPath, progressBar, parameter.outputType)
+                    .then((resp) => resolve(resp))
+                    .catch((err) => console.error(err));
+            })
+        } catch (error) {
+            console.log(parameter.outputType);
+            
+        }
+
+    },
+    // Derive input and output paths
+    // const inputVideoPath = process.argv[2];
+    // console.log(process.argv);
+
+    /**
+     * Extracts audio from a video using ffmpeg.
+     * - Converts video to WAV (16 kHz, Mono, PCM optional if needed)
+     * - Shows CLI progress bar
+     * - Handles errors gracefully (without errors)
+     */
+    extractAudioFromVideo: async function (videoFilePath, progressBar, outputType){
+        let inputVideoName = path.basename(videoFilePath, path.extname(videoFilePath));
+        let outputAudioPath = path.join(outputDir, `${inputVideoName}.${outputType}`);
+
+        return new Promise((resolve, reject) => {
+            try {
+                ffmpeg(videoFilePath)
+                .outputFormat(outputType)
+                // .audioCodec('pcm_s16le')
+                .audioChannels(1)
+                .audioFrequency(16000)
+                // .setFfmpegPath("./ffmpeg.exe")
+                .on('progress', (progress) => {
+                    if (!progressBar.isActive) progressBar.start(100, 0, { timemark: '00:00:00' });
+                    if (progress.percent) {
+                    progressBar.update(progress.percent, { timemark: progress.timemark });
+                    }
+                })
+                .on('end', () => {
+                    progressBar.update(100, { timemark: 'done' });
+                    progressBar.stop();
+                    console.log(`Extraction completed: ${outputAudioPath}`);
+                    resolve(outputAudioPath);
+                })
+                .on('error', (err) => {
+                    progressBar.stop();
+                    console.error(`failed_audio_extraction on type ${outputType}: ${err.message}`);
+                    reject(err);
+                })
+                .save(outputAudioPath);
+
+            } catch (error) {
+                console.log();
+            }
+        });
+    }
+}

services/modules/llm-chat_gpt/chatgpt.js

@@ -0,0 +1,8 @@
+module.exports = {
+    name:"chatgpt", // Unique name for our function that will later be used to get the function from the map via "mapFunctions.get("example").function()"
+    type:"llm", // value used to differentiate each module to order them in the UI
+    displayname:"ChatGPT", // The displayname used within the UI
+    async function(parameter){
+        // TODO add code to actually send the transcript to ChatGPT and get a response back
+    }
+}

services/modules/llm-gemini/gemini.js

@@ -0,0 +1,55 @@
+const outputDir = path.join(__dirname, "../../../storage/documents"); //  path for output directory
+
+if (!fs.existsSync(outputDir)) {
+    fs.mkdirSync(outputDir, { recursive: true }); // Create output directory if it doesn't exist
+}
+
+const ai = new genai.GoogleGenAI({ 
+    apiKey: process.env.GOOGLE_API_KEY // Ensure Google API key is set in environment variables: export GOOGLE_API_KEY="your_api_key_here"
+});
+
+module.exports = {
+    name: "llm-gemini",
+    type: "llm",
+    displayname: "Gemini LLM",
+    description: "Generates documents using Google Gemini LLM",
+
+    async function(parameter) {
+        try {
+            console.log("Gemini LLM module invoked with parameters:", parameter);
+
+            await this.createDocumentFromTranscript( //Call the function to create document with transcript, document type and language
+                parameter.inputTranscriptPath, // Path to input transcript file
+                parameter.documentTypePath, // Path to document type file which is chosen in the front end by the user
+                parameter.language // Language for the document which is chosen in the front end by the user
+            );
+
+        } catch (error) {
+            console.error("Error in Gemini LLM module:", error);
+        }
+    },
+
+    createDocumentFromTranscript: async function(transcriptPath, documentTypePath, language = "en") { // default language is English
+        try {
+            const transcript = await fs.promises.readFile(transcriptPath, "utf-8");
+            const documentType = await fs.promises.readFile(documentTypePath, "utf-8");
+
+            const promptText = `${documentType}, in language ${language}, transcript:\n\n${transcript}`;
+
+            const response = await ai.models.generateContent({
+                model: "gemini-2.5-flash", // Specify the Gemini model to use
+                contents: promptText // Input prompt for content generation
+            });
+
+            const output = response.text || ""; // Get generated text from response or default to empty string (if null)
+
+            const outPath = path.join(outputDir, "test.md"); // Output file path & name TO BE DONE to make dynamic out of input transcript name
+            fs.writeFileSync(outPath, output, "utf8"); // Write output to file
+
+            console.log("Generated document written to:", outPath);
+
+        } catch (error) {
+            console.error("Error generating Gemini content:", error);
+        }
+    }
+};

services/modules/transcription-local/whisperLocal.ts

@@ -0,0 +1,54 @@
+import { exec } from "child_process"; // Node.js built-in module
+import path from "path"; // Path module
+import fs from "fs"; // File system module
+import { fileURLToPath } from "url"; // To handle __dirname in ES modules
+
+const __filename = fileURLToPath(import.meta.url); // Get current file path
+const __dirname = path.dirname(__filename); // Get current directory path
+const transcriptsDir = path.resolve(__dirname, "../../../storage/transcriptions");
+
+
+export class whisperLocal { // is called by transcribe.ts
+  private whisperBinary: string; // Path to the whisper.cpp binary
+  private modelPath: string; // Path to the model file
+
+  constructor() {
+    this.whisperBinary = path.resolve(
+      __dirname,
+      "whisper.cpp/build/bin/whisper-cli" //Path to the compiled whisper binary
+    );
+
+    this.modelPath = path.resolve(
+      __dirname,
+      "whisper.cpp/models/ggml-base.en.bin" // Path to the English model file
+    );
+  }
+
+  async transcribe(audioPath: string): Promise<string> { //asyncronous function to transcribe audio
+    return new Promise((resolve, reject) => {
+
+        if (!fs.existsSync(transcriptsDir)) { //if transcripts directory does not exist, create it
+            fs.mkdirSync(transcriptsDir, { recursive: true });
+        }
+
+        const outputBase = path.resolve( // Base path for output transcript files, name is same as audio file (video file)
+            transcriptsDir,
+            path.basename(audioPath, path.extname(audioPath))
+        );
+
+        const command = `"${this.whisperBinary}" -m "${this.modelPath}" -f "${audioPath}" -otxt -of "${outputBase}"`; // Command to execute whisper binary with model and audio file, outputting text file
+
+      exec(command, (error, stdout, stderr) => {
+        if (error) return reject(error);
+
+        const outputTxt = `${outputBase}.txt`;
+        if (fs.existsSync(outputTxt)) {
+          const transcript = fs.readFileSync(outputTxt, "utf8");
+          resolve(transcript);
+        } else {
+          reject(new Error("No transcript file found"));
+        }
+        });
+    });
+  }
+}

services/modules/transcription-remote/assembly.js

@@ -0,0 +1,8 @@
+module.exports = {
+    name:"assembly", // Unique name for our function that will later be used to get the function from the map via "mapFunctions.get("example").function()"
+    type:"transcription", // value used to differentiate each module to order them in the UI
+    displayname:"Assembly", // The displayname used within the UI
+    async function(parameter){
+        // TODO add code to actually process the audio file
+    }
+}

services/modules/transcription-remote/assembly.ts

@@ -0,0 +1,133 @@
+import 'dotenv/config';
+import axios from 'axios';
+import fs from 'fs';
+import path from 'path';
+import { fileURLToPath } from 'url';
+
+const __filename = fileURLToPath(import.meta.url);
+const __dirname = path.dirname(__filename);
+
+const API_KEY = process.env.ASSEMBLYAI_API_KEY;
+const BASE_URL = 'https://api.assemblyai.com/v2';
+
+/**
+ * Uploads audio file to AssemblyAI
+ */
+async function uploadAudio(audioPath: string): Promise<string> {
+  const audioData = fs.readFileSync(audioPath);
+  
+  const response = await axios.post<{ upload_url: string }>(`${BASE_URL}/upload`, audioData, {
+    headers: {
+      'authorization': API_KEY,
+      'content-type': 'application/octet-stream'
+    }
+  });
+  
+  return response.data.upload_url;
+}
+
+/**
+ * Extract a session id (basename without extension) from a local path or a URL
+ */
+function getSessionId(inputPath: string): string {
+  try {
+    const parsed = new URL(inputPath);
+    const base = path.basename(parsed.pathname);
+    return base.replace(/\.[^.]+$/, '');
+  } catch (err) {
+    // not a URL, treat as local path
+    return path.basename(inputPath, path.extname(inputPath));
+  }
+}
+
+/**
+ * Creates transcription job with speaker diarization
+ */
+async function createTranscript(audioUrl: string): Promise<string> {
+  const response = await axios.post<{ id: string }>(`${BASE_URL}/transcript`, {
+    audio_url: audioUrl,
+    speaker_labels: true,
+    language_detection: true
+  }, {
+    headers: {
+      'authorization': API_KEY,
+      'content-type': 'application/json'
+    }
+  });
+  
+  return response.data.id;
+}
+
+/**
+ * Polls transcript status until completed
+ */
+async function pollTranscript(transcriptId: string): Promise<any> {
+  while (true) {
+    const response = await axios.get<any>(`${BASE_URL}/transcript/${transcriptId}`, {
+      headers: { 'authorization': API_KEY }
+    });
+    
+    const status = response.data.status;
+    
+    if (status === 'completed') {
+      return response.data;
+    } else if (status === 'error') {
+      throw new Error(`Transcription failed: ${response.data.error}`);
+    }
+    
+    // Wait 3 seconds before next poll
+    await new Promise(resolve => setTimeout(resolve, 3000));
+  }
+}
+
+/**
+ * Saves transcript to storage
+ */
+function saveTranscript(transcript: any, sessionId: string): void {
+  const outputDir = path.join(__dirname, '..', '..', '..', 'storage', 'transcripts');
+  
+  if (!fs.existsSync(outputDir)) {
+    fs.mkdirSync(outputDir, { recursive: true });
+  }
+  
+  const outputPath = path.join(outputDir, `${sessionId}.json`);
+  fs.writeFileSync(outputPath, JSON.stringify(transcript, null, 2));
+  
+  console.log(`✅ Transcript saved: ${outputPath}`);
+}
+
+export default {
+  name: "assembly",
+  type: "transcription",
+  displayname: "AssemblyAI",
+  run: async (audioPath: string) => {
+    try {
+      // Determine if audioPath is an external URL or a local file
+      let audioUrl: string;
+      if (/^https?:\/\//i.test(audioPath)) {
+        console.log('🔗 Using external audio URL...');
+        audioUrl = audioPath;
+      } else {
+        console.log('🔄 Uploading local audio...');
+        if (!fs.existsSync(audioPath)) {
+          throw new Error(`Audio file not found: ${audioPath}`);
+        }
+        audioUrl = await uploadAudio(audioPath);
+      }
+      
+      console.log('🔄 Creating transcript job...');
+      const transcriptId = await createTranscript(audioUrl);
+      
+      console.log('⏳ Waiting for transcription...');
+      const transcript = await pollTranscript(transcriptId);
+      
+  const sessionId = getSessionId(audioPath);
+      saveTranscript(transcript, sessionId);
+      
+      return transcript;
+    } catch (error: any) {
+      console.error('❌ Transcription error:', error.message);
+      throw error;
+    }
+  }
+};

services/modules/utility/@startup.js

@@ -0,0 +1,16 @@
+module.exports = {
+    name:"Startup_function",
+    async function(){
+        // Put any code here that you want to be executed on startup
+
+        // We are now calling the example function from the example folder
+        mapFunctions.get("example").function("Startup")
+
+        // mapFunctions.get("extraction-video-to-audio").function({inputVideoPath:"./a.mp4", outputType:"wav"})
+        // mapFunctions.get("extraction-video-to-audio").function({inputVideoPath:"./b.mp4", outputType:"wav"})
+        // mapFunctions.get("extraction-video-to-audio").function({inputVideoPath:"./b.mp4", outputType:"flac"})
+
+        // mapFunctions.get("ipc-handler").function("extraction-video-to-audio", {inputVideoPath:"./a.mp4", outputType:"flac"})
+
+    }
+}

services/modules/utility/cliCommands.js

@@ -0,0 +1,30 @@
+module.exports = {
+    name:"cliCommands",
+    async function(command, args){
+        switch(command){
+            case "exit":
+                process.exit(1);
+            break;
+            case "reload":
+                mapFunctions.clear()
+                // Reloading the Function Map
+                var path = `${mainDir}/services/modules`
+                var folders = fs.readdirSync(path).filter(function (file) {
+                    return fs.statSync(path+'/'+file).isDirectory();
+                });
+                folders.forEach(element => {
+                    var commandFiles = fs.readdirSync(`${path}/${element}`).filter(file => file.endsWith('.js') && !file.startsWith("index"));
+                    for (const file of commandFiles) {
+                        delete require.cache[require.resolve(`${path}/${element}/${file}`)];
+                        const command = require(`${path}/${element}/${file}`);
+                        mapFunctions.set(command.name, command);
+                    }
+                });
+                console.log(`Reloaded ${mapFunctions.size} modules`)
+            break;
+            default:
+                console.log("This is not a recognised command");
+            break;
+        };
+    }
+}

services/modules/utility/example.js

@@ -0,0 +1,10 @@
+module.exports = {
+    name:"example", // Unique name for our function that will later be used to get the function from the map via "mapFunctions.get("example").function()"
+    type:"example-type", // value used to differentiate each module to order them in the UI
+    displayname:"Example", // The displayname used within the UI
+    async function(randomParameter){
+        // Here we put a simple console.log to show how the system works
+        // This function will be called from the @startup.js function in the utility folder
+        console.log(`\n------------\nThis is the example function called by the ${randomParameter} function\n------------\n`);
+    }
+}

services/modules/utility/module-handler.js

@@ -0,0 +1,16 @@
+module.exports = {
+    name:"module-handler", // Unique name for our function that will later be used to get the function from the map via "mapFunctions.get("example").function()"
+    async function(module,parameter){
+        return new Promise(async (resolve, reject) => {
+            if(mapFunctions.get(module) == undefined){
+                reject("requested modules not found")
+                return
+            }
+            mapFunctions.get(module).function(parameter).then((result) => {
+                resolve(result)
+            }).catch((err) => {
+                reject(err)
+            });
+        })
+    }
+}

services/pipeline/jobs/transcribeLatest.ts

@@ -0,0 +1,53 @@
+// services/pipeline/jobs/transcribeLatest.ts
+import path from 'path';
+import fs from 'fs';
+// @ts-ignore: module has no type declarations or cannot be resolved in current TS config
+import assembly from '../../modules/transcription/assembly';
+
+/**
+ * Finds the most recently modified .wav file in storage/audio/
+ */
+function getLatestWav(): string {
+  const audioDir = path.join(process.cwd(), 'storage', 'audio');
+  const files = fs.readdirSync(audioDir).filter(f => f.toLowerCase().endsWith('.wav'));
+  if (files.length === 0) throw new Error('⚠️ No .wav file found in storage/audio');
+
+  const newest = files
+    .map(f => ({ f, t: fs.statSync(path.join(audioDir, f)).mtimeMs }))
+    .sort((a, b) => b.t - a.t)[0].f;
+
+  return path.join(audioDir, newest);
+}
+
+/**
+ * Full transcription pipeline according to the defined workflow:
+ * 1. Audio Upload → AssemblyAI
+ * 2. Job Creation (transcript_id)
+ * 3. Polling Status (queued → processing → completed)
+ * 4. Download Transcript JSON
+ * 5. Storage: /transcripts/{session_id}.json
+ */
+async function main() {
+  const audioPath = getLatestWav();
+
+  console.log('1️⃣ Audio Upload → AssemblyAI');
+  console.log('   Source:', audioPath);
+
+  console.log('2️⃣ Job Creation (transcript_id)');
+  console.log('3️⃣ Polling Status (queued → processing → completed)');
+  console.log('4️⃣ Download Transcript JSON');
+  console.log('5️⃣ Storage: /transcripts/{session_id}.json');
+
+  // Execute the transcription process via the AssemblyAI module
+  const result = await assembly.run(audioPath);
+
+  console.log('✅ Transcription completed successfully');
+  console.log('🆔 Transcript ID:', result.id);
+  console.log('📁 Transcript file saved under: storage/transcripts/');
+}
+
+// Entry point
+main().catch((err) => {
+  console.error('❌ Transcription pipeline failed:', err.message || err);
+  process.exit(1);
+});

test/integration/assembly.test.js

@@ -0,0 +1,14 @@
+import 'dotenv/config';
+import assemblyModule from '../../services/modules/transcription-remote/assembly.ts';
+
+// Test: URL passed as argument OR local file ./storage/audio/test.wav
+const audioPath = process.argv[2] || './storage/audio/test.wav';
+
+assemblyModule.run(audioPath)
+  .then(result => {
+    console.log('✅ Success!');
+    console.log('Transcript ID:', result.id);
+  })
+  .catch(error => {
+    console.error('❌ Error:', error?.message || error);
+  });

test/integration/gemini/documentType.json

@@ -0,0 +1,39 @@
+
+**Goal:** Generate a structured meeting report (Markdown). **Output ONLY:** final .md. No meta.
+
+```json
+{
+  "FORMAT": "markdown",
+
+  "STRUCTURE": {
+    "titlepage": ["title","date","start","end","duration","location","host","participants"],
+    "toc": "[section](#anchor) — HH:MM:SS",
+    "section": {
+      "h2": "<topic> — HH:MM:SS",
+      "summary": "1 sentence",
+      "key_points": "<=5 bullets, quotes optional",
+      "decisions": "list: text | owner | due",
+      "actions": "table: id | task | owner | due | status"
+    },
+    "exec_summary": "3 short sentences",
+    "consolidated": ["decisions", "actions"],
+    "appendix": "optional"
+  },
+
+  "STYLE": {
+    "tone": "neutral, concise",
+    "ts_format": "HH:MM:SS",
+    "no_meta": true
+  },
+
+  "PROCESS": {
+    "timestamps": "use if present; else estimate minimal",
+    "speakers": "use labels; else Speaker X",
+    "long_transcripts": "chunk → summarize → merge",
+    "unclear": "UNKLAR:<reason>"
+  },
+
+  "JSON_OUTPUT_OPTIONAL": true,
+
+  "PROMPT_SNIPPET": "Generate meeting report in markdown using STRUCTURE and STYLE. Output only the report."
+}

test/integration/gemini/test-gemini.js

@@ -0,0 +1,7 @@
+const gemini = require("../../../services/modules/llm-gemini/gemini.js");
+
+gemini.function({
+    inputTranscriptPath: "./transcript.json",
+    documentTypePath: "./documentType.json",
+    language: "de"
+});

test/integration/gemini/transcript.json

@@ -0,0 +1,122 @@
+[
+  {
+    "speaker": "A",
+    "sentence": "Smoke from hundreds of wildfires in Canada is triggering air quality alerts throughout the US Skylines from Maine to Maryland to Minnesota are gray and smoggy. And in some places, the air quality warnings include the warning to stay inside. We wanted to better understand what's happening here and why, so we called Peter DeCarlo, an associate professor in the Department of Environmental Health and Engineering at Johns Hopkins University. Good morning, Professor.",
+    "start": 240,
+    "end": 26560
+  },
+  {
+    "speaker": "B",
+    "sentence": "Good morning.",
+    "start": 28060,
+    "end": 28620
+  },
+  {
+    "speaker": "A",
+    "sentence": "So what is it about the conditions right now that have caused this round of wildfires to affect so many people so far away?",
+    "start": 29100,
+    "end": 37100
+  },
+  {
+    "speaker": "B",
+    "sentence": "Well, there's a couple of things. The season has been pretty dry already, and then the fact that we're getting hit in the US is because there's a couple weather systems that are essentially channeling the smoke from those Canadian wildfires through Pennsylvania into the mid Atlantic and the Northeast and kind of just dropping the smoke there.",
+    "start": 39100,
+    "end": 55820
+  },
+  {
+    "speaker": "A",
+    "sentence": "So what is it in this haze that makes it harmful? And I'm assuming it is harmful.",
+    "start": 56590,
+    "end": 60670
+  },
+  {
+    "speaker": "B",
+    "sentence": "It is, it is. The levels outside right now in Baltimore are considered unhealthy. And most of that is due to what's called particulate matter, which are tiny particles, microscopic, smaller than the width of your hair, that can get into your lungs and impact your respiratory system, your cardiovascular system, and even your neurological, your brain.",
+    "start": 62350,
+    "end": 82590
+  },
+  {
+    "speaker": "A",
+    "sentence": "What makes this particularly harmful? Is it the volume of particulate? Is it something in particular? What is it exactly? Can you just drill down on that a little bit more?",
+    "start": 83630,
+    "end": 92190
+  },
+  {
+    "speaker": "B",
+    "sentence": "Yeah. So the concentration of particulate matter, I was looking at some of the monitors that we have was reaching levels of what are, in science speak, 150 micrograms per meter cubed, which is more than 10 times what the annual average should be in about four times higher than what you're supposed to have on a 24 hour average. And so the concentrations of these particles in the air are just much, much, much higher than we typically see. And exposure to those high levels can lead to a host of health problems.",
+    "start": 93550,
+    "end": 123350
+  },
+  {
+    "speaker": "A",
+    "sentence": "And who is most vulnerable? I noticed that in New York City, for example, they're canceling outdoor activities. And so here it is in the early days of summer and they have to keep all the kids inside. So who tends to be vulnerable in a situation like this?",
+    "start": 123430,
+    "end": 135990
+  },
+  {
+    "speaker": "B",
+    "sentence": "It's the youngest. So children, obviously, whose bodies are still developing, the elderly who are, you know, their bodies are more in decline and they're more susceptible to the health impacts of breathing, the poor air quality. And then people who have pre existing health conditions, people with respiratory conditions or heart conditions, can be triggered by high levels of air pollution.",
+    "start": 137610,
+    "end": 156650
+  },
+  {
+    "speaker": "A",
+    "sentence": "Could this get worse?",
+    "start": 157450,
+    "end": 158650
+  },
+  {
+    "speaker": "B",
+    "sentence": "That's a good question. I mean, I think if in some areas it's much worse than others and it just depends on kind of where the smoke is concentrated. I think New York has some of the higher concentrations right now, but that's going to change as that air moves away from the New York area. But over the course of the next few days, we will see different areas being hit at different times with the highest concentrations.",
+    "start": 162170,
+    "end": 183420
+  },
+  {
+    "speaker": "A",
+    "sentence": "I was going to ask you about.",
+    "start": 183740,
+    "end": 184660
+  },
+  {
+    "speaker": "B",
+    "sentence": "More fires start burning. I don't expect the concentrations to go up too much higher.",
+    "start": 184660,
+    "end": 189020
+  },
+  {
+    "speaker": "A",
+    "sentence": "I was going to ask you how and you started to answer this, but how much longer could this last? Forgive me if I'm asking you to speculate, but what do you think?",
+    "start": 189100,
+    "end": 196220
+  },
+  {
+    "speaker": "B",
+    "sentence": "Well, I think the fires are going to burn for a little bit longer. But the key for us in the US Is the weather system changing. Right now it's the weather systems that are pulling that air into our Mid Atlantic and Northeast region. As those weather systems change and shift, we'll see that smoke going elsewhere and not impact us in this region as much. I think that's going to be the defining factor. I think the next couple days we're going to see a shift in that weather pattern and start to push the smoke away from where we are.",
+    "start": 198280,
+    "end": 227480
+  },
+  {
+    "speaker": "A",
+    "sentence": "And finally, with the impacts of climate change, we are seeing more wildfires. Will we be seeing more of these kinds of wide ranging air quality consequences or circumstances?",
+    "start": 227930,
+    "end": 239850
+  },
+  {
+    "speaker": "B",
+    "sentence": "I mean, that is one of the predictions for climate change. Looking into the future, the fire season is starting earlier and lasting longer and we're seeing more frequent fires. So yeah, this is probably something that we'll be seeing more, more frequently. This tends to be much more of an issue in the western U.S. so the eastern U.S. getting hit right now is a little bit new. But yeah, I think with climate change moving forward, this is something that is going to happen more frequently.",
+    "start": 241370,
+    "end": 267570
+  },
+  {
+    "speaker": "A",
+    "sentence": "That's Peter DeCarlo, associate professor in the Department of Environmental Health and Engineering at Johns Hopkins University. Professor DeCarlo, thanks so much for joining us and sharing this expertise with us.",
+    "start": 267970,
+    "end": 278210
+  },
+  {
+    "speaker": "B",
+    "sentence": "Thank you for having me.",
+    "start": 279410,
+    "end": 280530
+  }
+]

test/test_health.py

@@ -0,0 +1,8 @@
+from fastapi.testclient import TestClient
+from app.main import app
+
+client = TestClient(app)
+
+def test_health():
+    response = client.get("/health")
+    assert response.status_code == 200