added test for qwen3 model and added a console log for debugging purposes to the gemini test because that shit model keeps being dogshit and throwing errors about being overloaded because the dogshit company called google cant fucking manage to set up a model that doesnt shit itself the moment more than 3 people send a query at the same time, god i fucking hate google and LLMs, it is truly an insult that we have to write this dogshit software

some more cleanup
did some cli output cleanup, and fixed the test pipeline aswell as added a few tests
2026-06-15 18:01:52 +02:00 · 2025-12-16 18:27:43 +01:00 · 2025-12-16 18:17:55 +01:00 · 2025-12-16 18:15:40 +01:00 · 2025-12-16 17:35:17 +01:00 · 2025-12-16 17:25:54 +01:00
40 changed files with 16830 additions and 295 deletions
@@ -964,8 +964,22 @@ app.*.symbols
 !/dev/ci/**/Gemfile.lock
 # Storage files
-storage/
+storage/documents/*
 storage/transcriptionSummaries/*
 storage/transcripts/*
 storage/video/*
 # The inverse for the .gitkeep files, to make sure the folders are there but not the local files
 !storage/documents/.gitkeep
 !storage/transcriptionSummaries/.gitkeep
 !storage/transcripts/.gitkeep
 !storage/video/.gitkeep
 *.mp4
 *.webm
 *.mp3
 *.mov
 *.wav
 *.flac
 !testvideo.mp4
@@ -1,33 +1,28 @@
-workflow:
+image: node:latest
  rules:
    # Run the pipeline for merge requests or when committing to a branch
    - if: $CI_PIPELINE_SOURCE == "merge_request_event"
    - if: $CI_COMMIT_BRANCH
 image: python:3.14.0
 stages:
-  - setup
+  # - install
  - test
-setup_environment:
+# job-install:
-  stage: setup
+#   stage: install
-  script:
+#   script:
-    - pip install --upgrade pip
+#     - npm install
-    - pip install -r requirements.txt
+#   artifacts:
-    - echo "Dependencies installed successfully."
+#     untracked: false
 #     when: on_success
 #     access: all
 #     expire_in: "30 days"
 #     paths:
 #       - node_modules
  only:
    - main
    - feature/ci-pipeline-s1-09a-1  # You can add more branches if needed
-test_app:
+
 job-test:
  stage: test
  script:
-    - echo "Running V2D Framework basic test..."
+    - npm install
-    - python -m unittest discover || echo "No tests found."
+    - echo "ASSEMBLYAI_API_KEY=$apikey_assembly" > .env
-
+    - echo "GOOGLE_API_KEY=$apikey_gemini" >> .env
-  only:
+    - echo "SAIA_API_KEY=$apikey_saia" >> .env
-    - main
+    - npm test
    - feature/ci-pipeline-s1-09a-1
@@ -8,27 +8,41 @@
 </head>
 <body>
-<div class="mitte" id="mitte"> 
+<div id="h1-wrapper">
-  <div class="labelDiv" id="labelDiv">
+    <section  class="p-menu1">
-    <label id="labelKI">Select ki:</label>
+    <nav id="navbar" class="navigation" role="navigation">
-    <label id="labelTranscription">Select transcription:</label>
+      <input id="toggle1" type="checkbox" />
-    <label id="labelLanguage">Select language:</label>
+      <label class="hamburger1" for="toggle1">
-    <img id="labelLanguageFlag" src="flags/united-kingdom-flag-png-large.jpg" width="20" height="10" >
+        <div class="top"></div>
-  </div>
+        <div class="meat"></div>
-  <div class="dropdownMenus" id="dropdownMenus">
+        <div class="bottom"></div>
-    <select name="ai_type" id="ai_type">
+      </label>
-    </select>
+
-    <select name="transkript_type" id="transkript_type">
+      <nav class="menu1">
-    </select>
+        <a href="index2.html" class="li1">Custom document</a>
-    <select name="output_type" id="output_type">
+        <a href="index3.html" class="li1">Help</a>
-      <option value="mp4">mp4</option>
+      </nav>
-    </select>
+    </nav>
-    <select name="language_option" id="language_option">
+  </section>
    </select>
  </div>
  <h1 id="h1">Video to document</h1>
 </div>
 <div class="step-nav">
  <div class="step-item active" data-step="1">1. Step</div>
  <div class="step-item" data-step="2">2. Step</div>
  <div class="step-item" data-step="3">3. Step</div>
  <div class="step-item" data-step="4">4. Step</div>
  <div class="step-item" data-step="5">5. Step</div>
  <div class="step-item" data-step="6">6. Step</div>
 </div>
 <div id="middleContainerWrapper" class="middle-container-wrapper">
  <button id="prevBtn" class="navBtn" disabled>&larr;</button>
  <div class="mitte" id="mitte">
    <div class="step" id="step1">
      <div class="upload-container" id="uploadContainer">
        <p id="p1">Drag and drop video file</p>
        <video id="previewThumbnail" autoplay="false">
@@ -40,26 +54,105 @@
        <button class="custom-btn" id="manualUploadBtn">Search video</button>
        <input type="file" id="videoUpload" accept="video/*">
      </div>
    </div>
    <div class="step" id="step2" style="display:none;">
      <div class="labelDiv" id="labelDiv">
       <label id="labelKI">Select ki:</label>
        <label id="labelTranscription">Select transcription:</label>
        <label id="labelType">Select type:</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="pdf">.pdf</option>
          <option value="word">.word</option>
          <option value="txt">.txt</option>
        </select>
        <select name="language_option" id="language_option">
        </select>
      </div>
    </div>
    <div class="step" id="step3" style="display:none;">
      <div class="checkbox-group">
-  <label id="checkbox_group" for="checkbox-group">Choose prefered document style:</label>
+        <label id="checkbox-label" for="checkbox-group">Choose prefered document style:</label>
        <div class="checkbox-container">
-    <input type="checkbox" name ="docFormat" id="docFormat" value="Meeting report">
+          <input type="checkbox" name ="docFormat" id="docFormat" value="followup-report">
-    <label id="label_format" for="docFormat">Meeting report</label>
+          <label id="label_format" for="docFormat">Follow-up Report</label>
        </div>
        <div class="checkbox-container">
-    <input type="checkbox" name="docFormat" id="docFormatSummary" value="Summary with timestamps">
+          <input type="checkbox" name="docFormat" id="docFormatSummary1" value="agenda">
-    <label id="label_summary" for="docFormatSummary">Summary with timestamps</label>
+          <label id="label_summary" for="docFormatSummary">Agenda</label>
        </div>
        <div class="checkbox-container">
          <input type="checkbox" name="docFormat" id="docFormatSummary2" value="result-protocol">
          <label id="label_summary" for="docFormatSummary">Resultprotocol</label>
        </div>
        <div class="checkbox-container">
          <input type="checkbox" name="docFormat" id="docFormatSummary3" value="sprint-planning">
          <label id="label_summary" for="docFormatSummary">Sprint Planning Note</label>
        </div>
        <div class="checkbox-container">
          <input type="checkbox" name="docFormat" id="docFormatCustom" value="custom">
          <select name="ai_type" id="ai_type">
            <option>nichts</option>
          </select>
        </div>
      </div>
    </div>
    <div class="step" id="step4" style="display:none;">
      <button class="submit-btn" id="submitButton" onclick="checkBoxes()" disabled>Submit</button>
-<div class="progressbar" id="progressbar">
+      <div class="testy" id="testy">
-  <div class="progress_fill"></div>
+        <div class="box2" id="box1">
  <span class="progress_text">0%</span>
        </div>
        <p>---Starting---</p>
        <div class="box2" id="box2">
        </div>
        <p>---Transkribing---</p>
        <div class="box2" id="box3">
        </div>
        <p>---Document creation---</p>
        <div class="box2" id="box4">
        </div>
      </div>
    </div>
    <div class="step" id="step5" style="display:none;">
      <div class="speakerView" id="speakerView">
       <label id="labelSpeaker">Select Speaker:</label>
       <select name="cur_speaker" id="cur_speaker">
          <options>Stefan</options>
       </select>
      </div>
      <div class="speakerAudio" id="speakerAutio">
        <label id="labelSpeakerAudio">Selected Speaker</label>
        <audio controls id="speakerAudioViewer">
        Currently there is no audio file here.
        </audio> 
      </div>
      <div class="speakerWrite" id="speakerWrite">
        <label id="labelSpeakerWriter">Write name:</label>
        <input type="text" id="newSpeaker">
      </div>
      <button id="speakerLocker" onclick="rewriteSpeakerName()">Rename Speaker</button>
      <button id="speakerResender" onclick="sendSpeakerPackages()">Rewrite document</button>
    </div>
    <div class="step" id="step6" style="display:none;">
      <button class="download-btn" id="downloadButton" onclick="fileDownload()">Download</button>
    </div>
  </div>
  <button id ="nextBtn" class="navBtn">&rarr;</button>
 </div>
 <script src="languages.js"></script>
@@ -15,12 +15,22 @@ try {
        getModuleNames: () => ipcRenderer.invoke('get-module-names')
    })
-
+    contextBridge.exposeInMainWorld('electron', {
-
+        progress: (callback) => ipcRenderer.on('progress', callback)
    ipcRenderer.on("progress", (event, resp) => {
        alert(`Finished step ${resp.curstep} of ${resp.totalsteps}`)
    })
    contextBridge.exposeInMainWorld('audios', {
        speakerAudios: (callback) => ipcRenderer.on('speakerAudios', callback)
    })
    contextBridge.exposeInMainWorld("submitSpeaker", {
        submitSpeaker: (speaker_names) => {ipcRenderer.send("speaker_submit", speaker_names)}
    })
    contextBridge.exposeInMainWorld("download", {
        file_download: () => {ipcRenderer.send("file_download")}
    })
    ipcRenderer.on("error", (event, err) => {alert(err)})
 } catch (error) {
    console.log("Error in preload.js");
@@ -33,7 +33,6 @@ uploadContainer.addEventListener("drop", (e) => {
 window.addEventListener('load', async (e) => { 
  try {
      console.log("test");
      loadLanguageOptions(); 
      const value = await window.onStartup.getModuleNames();
      loadAiOptions(value.ai_modules);
@@ -55,24 +54,16 @@ language_option.addEventListener('change', (e)=>{
 });
 //listener for the file explorer search when something got selected
 videoUpload.addEventListener("change", () => {
  try {
-    activateSubmitBtn(videoUpload.files.length > 0);
+    if (videoUpload.files.length > 0) {
      const file = videoUpload.files;
      handleFiles(file);
    }
  } 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
@@ -85,3 +76,168 @@ manualUploadBtn.addEventListener('click', () => {
  }
 });
 stepButtons.forEach(btn => {
  btn.addEventListener("click", () => {
    try {
      const step = parseInt(btn.dataset.step);
      showStep(step);
    } catch (error) {
    }
  });
 });
 prevBtn.addEventListener("click", () => {
  try {
    if (currentStep > 1) showStep(currentStep - 1);
  } catch (error) {
  }
 });
 nextBtn.addEventListener("click", () => {
  try {
    if(currentStep < totalSteps) showStep(currentStep + 1);
  } catch (error) {
  }
 });
 //Checkboxlistener so that only one can be selected at a time
 docFormat.addEventListener("change", (e) =>{
  try {
    if(docFormat.checked){
      docFormatSummary1.checked = false;
      docFormatSummary2.checked = false;
      docFormatSummary3.checked = false;
      docFormatCustom.checked = false;
    }
  } catch (error) {
  }
 });
 docFormatSummary1.addEventListener("change", (e) =>{
  try {
    if(docFormatSummary1.checked){
      docFormat.checked = false;
      docFormatSummary2.checked = false;
      docFormatSummary3.checked = false;
      docFormatCustom.checked = false;
    }
  } catch (error) {
  }
 });
 docFormatSummary2.addEventListener("change", (e) =>{
  try {
    if(docFormatSummary2.checked){
      docFormatSummary1.checked = false;
      docFormat.checked = false;
      docFormatSummary3.checked = false;
      docFormatCustom.checked = false;
    }
  } catch (error) {
  }
 });
 docFormatSummary3.addEventListener("change", (e) =>{
  try {
    if(docFormatSummary3.checked){
      docFormatSummary1.checked = false;
      docFormatSummary2.checked = false;
      docFormat.checked = false;
      docFormatCustom.checked = false;
    }
  } catch (error) {
  }
 });
 docFormatCustom.addEventListener("change", (e) =>{
  try {
    if(docFormatCustom.checked){
      docFormatSummary1.checked = false;
      docFormatSummary2.checked = false;
      docFormatSummary3.checked = false;
      docFormat.checked = false;
    }
  } catch (error) {
  }
 });
 //Speaker change listener
 cur_speaker.addEventListener("change", (e) =>{
  try {
    document.getElementById("speakerAudioViewer").src = valy[e.target.value].source;
  } catch (error) {
  }
 });
 window.audios.speakerAudios((event, arg) => {
    setSpeakerAudiosValue(arg);
    loadSpeakerOptions(arg);
 });
 window.electron.progress((event, arg) => {
    if(arg.curstep == 1){
      setCircleOne();
    }else if(arg.curstep == 2){
      setCircleZwo();
    } else if(arg.curstep == 3){
      setCircleThree();
    }else if(arg.curstep == 4){
      setCircleFour();
    }
 });
 function setCircleOne(){
  try {
    if(document.getElementById("box1").style.backgroundColor == "green"){
      document.getElementById("box1").style.backgroundColor = "red";
    }else{
      document.getElementById("box1").style.backgroundColor = "green";
    }
  } catch (error) {
  }
 };
 function setCircleZwo(){
  try {
    if(document.getElementById("box2").style.backgroundColor == "green"){
      document.getElementById("box2").style.backgroundColor = "red";
    }else{
      document.getElementById("box2").style.backgroundColor = "green";
    }
  } catch (error) {
  }
 };
 function setCircleThree(){
  try {
    if(document.getElementById("box3").style.backgroundColor == "green"){
      document.getElementById("box3").style.backgroundColor = "red";
    }else{
      document.getElementById("box3").style.backgroundColor = "green";
    }
  } catch (error) {
  }
 };
 function setCircleFour(){
  try {
    if(document.getElementById("box4").style.backgroundColor == "green"){
      document.getElementById("box4").style.backgroundColor = "red";
    }else{
      document.getElementById("box4").style.backgroundColor = "green";
    }
  } catch (error) {
  } 
 };
@@ -1,4 +1,4 @@
-
+let currentVideoPath = null;
 //function to check if one checkbox is at least klicked
 function checkBoxes() {
  try {
@@ -25,18 +25,20 @@ function checkBoxes() {
      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 typeCheckbox;
-        var iter = 0;
+        if(document.getElementById("docFormat").checked) typeCheckbox = document.getElementById("docFormat").value;
-        checkboxes.forEach(function(checkbox){
+        if(document.getElementById("docFormatSummary1").checked) typeCheckbox = document.getElementById("docFormatSummary1").value;
-        if(checkbox.checked){
+        if(document.getElementById("docFormatSummary2").checked) typeCheckbox = document.getElementById("docFormatSummary2").value;
-          console.log(checkbox.value);
+        if(document.getElementById("docFormatSummary3").checked) typeCheckbox = document.getElementById("docFormatSummary3").value;
-          selectedStyles[iter] = {iter: checkbox.value};
+        if(document.getElementById("docFormatCustom").checked) typeCheckbox = document.getElementById("docFormatCustom").value;
-          iter++;
+
-          } 
+        document.getElementById("testy").style.visibility = "visible"
-        });
+        document.getElementById("box1").style.backgroundColor = "red";
        document.getElementById("box2").style.backgroundColor = "red";
        document.getElementById("box3").style.backgroundColor = "red";
        document.getElementById("box4").style.backgroundColor = "red";
        console.log(selectedCheckboxes);
        const outputType = document.getElementById("output_type");
        const transcriptionType = document.getElementById("transkript_type");
@@ -44,21 +46,23 @@ function checkBoxes() {
        const sendingPackage = {
          "video": {
            "module":"extraction-video-to-audio",
-            "inputVideoPath": pathTest,
+            "inputVideoPath": pathTest
            "outputType": outputType.value
          },
          "transcription": {
            "module": transcriptionType.value
          },
          "document": {
            "module":aiType.value,
-            "styles": selectedStyles
+            "type": typeCheckbox,
            "outputType": outputType.value
          }
        };
        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.');
@@ -103,6 +107,7 @@ function handleFiles(files) {
        const filePath = window.explorer.onFileDrop(files[0])
        videoUpload.files = files;
        fileName.textContent = `Chosen video: ${file.name}`;
        currentVideoPath = filePath;
        generateThumbnail(filePath);
        activateSubmitBtn(true);
      }
@@ -165,6 +170,25 @@ function loadTranscriptionOptions(options){
  }
 }
 //function to load data type options to the drop down list
 function loadDataTypeOptions(options){
  try {
    var menu = document.getElementById('output_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 loadDataTypeOptions");
    console.log(error);
  }
 }
 //function to load language options to the drop down list
 function loadLanguageOptions(){
  try {
@@ -178,16 +202,48 @@ function loadLanguageOptions(){
      choice.value = object_holdy[i];
      menu.appendChild(choice);
    }
  } catch (error) {
    console.log("Error in script.js loadLanguageOptions function");
    console.log(error);
  }
 }
 //function to load speaker options to the drop down list
 function loadSpeakerOptions(options){
  try {
    var menu = document.getElementById('speaker_option');
    var object_holdy;
    var choice;
    object_holdy = options.keys();
    for(i = 0; i < options.length; i++){
      choice = document.createElement('option');
      choice.textContent = options[object_holdy[i]].name;
      choice.value = options[object_holdy[i]].name;
      menu.appendChild(choice);
    }
  } catch (error) {
    console.log("Error in script.js loadSpeakerOptions function");
    console.log(error);
  }
 }
 //function to load speaker audio file options to the drop down list
 function loadSpeakerAudio(option){
  try {
    var menu = document.getElementById('speakerAudioViewer');
    var aud = document.createElement("source");
    aud.src = options;
    menu.appendChild(aud);
  } catch (error) {
    console.log("Error in script.js loadSpeakerAudio function");
    console.log(error);
  }
 }
 function activateSubmitBtn(hasFile){
  try {
-    submitButton.disabled = !hasFile;
+    document.getElementById("submitButton").disabled = !hasFile;
  } catch (error) {
    console.log(error);
  }
@@ -212,3 +268,68 @@ function generateThumbnail(path){
  videoElement.style.maxHeight = 40;
  videoElement.autoplay = false;
 }
 //Step-navigation
 const steps = document.querySelectorAll(".step");
 const stepButtons = document.querySelectorAll(".step-item");
 let currentStep = 1;
 const totalSteps = steps.length;
 function showStep(stepNumber) {
  if (stepNumber < 1 || stepNumber > totalSteps){
    console.error("StepNumber out of Bounds", stepNumber);
    return;
  }
  steps.forEach(step => step.style.display = "none");
  document.getElementById("step" + stepNumber).style.display = "block";
  stepButtons.forEach(btn => btn.classList.remove("active"));
  document.querySelector(`.step-item[data-step="${stepNumber}"]`).classList.add("active");
  const activeBtn = document.querySelector(`.step-item[data-step="${stepNumber}"]`);
  if(activeBtn) activeBtn.classList.add("active");
  prevBtn.disabled = stepNumber == 1;
  nextBtn.disabled = stepNumber === totalSteps;
  currentStep = stepNumber;
 }
 //Audio value setter
 var speakerAudios = {};
 var speakerEndValues = {};
 function setSpeakerAudiosValue(valy){
  try {
    speakerAudios = valy;
    speakerRewriten = valy;
    document.getElementById("speakerAudioViewer").src = valy.speakerA.src;
  } catch (error) {
  }
 }
 function rewriteSpeakerName(){
  try {
    var tempy = document.getElementById("cur_speaker").textContent;
    speakerAudios[tempy].name = document.getElementById("newSpeaker").textContent;
    document.getElementById("cur_speaker").textContent = document.getElementById("newSpeaker").textContent;
  } catch (error) {
  }
 }
 function sendSpeakerPackages(){
  try {
    window.sendSpeakerPackages(speakerAudios);
  } catch (error) {
  }
 }
 function fileDownload() {
  try {
    window.download.file_download();
  } catch (error) {
    console.error("Download failed:", error);
  }
 }
@@ -6,10 +6,32 @@ body {
  align-items: center;
  height: 100vh;
  background-color: #f2f3f4;
-  gap: 15px;
+  gap: 10px;
  margin: 0;
 }
 #h1 {
  position: absolute;
  left: 50%;
  top: 50%;
  transform: translate(-50%, -50%);
  margin: 0;
  z-index: 20;
 }
 #h1-wrapper {
  position: relative;
  font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif;
  width: 770px;
  height: 60px; 
  background-color: #FFF;
  box-shadow: 0px 4px 10px rgba(0,0,0,0.1);
  border-radius: 5px;
  margin-bottom: 10px;
  display: flex;
  align-items: center;
 } 
 .upload-container {
  background: white;
@@ -91,26 +113,75 @@ input[type="file"] {
  display: none;
 }
 .checkbox-group {
    --borderColor: #007bfff5;
    --borderWidth: .125em;
  }
  .checkbox-group input[type=checkbox] {
    -webkit-appearance: none;
    appearance: none;
    vertical-align: middle;
    background: #fff;
    font-size: 1.8em;
    border-radius: 0.125em;
    display: inline-block;
    border: var(--borderWidth) solid var(--borderColor);
    width: 1em;
    height: 1em;
    position: relative;
  }
  .checkbox-group input[type=checkbox]:before,
  .checkbox-group input[type=checkbox]:after {
    content: "";
    position: absolute;
    background: var(--borderColor);
    width: calc(var(--borderWidth) * 3);
    height: var(--borderWidth);
    top: 50%;
    left: 10%;
    transform-origin: left center;
  }
  .checkbox-group input[type=checkbox]:before {
    transform: rotate(45deg) translate(calc(var(--borderWidth) / -2), calc(var(--borderWidth) / -2)) scaleX(0);
    transition: transform 200ms ease-in 200ms;
  }
  .checkbox-group input[type=checkbox]:after {
    width: calc(var(--borderWidth) * 5);
    transform: rotate(-45deg) translateY(calc(var(--borderWidth) * 2)) scaleX(0);
    transform-origin: left center;
    transition: transform 200ms ease-in;
  }
  .checkbox-group input[type=checkbox]:checked:before {
    transform: rotate(45deg) translate(calc(var(--borderWidth) / -2), calc(var(--borderWidth) / -2)) scaleX(1);
    transition: transform 200ms ease-in;
  }
  .checkbox-group input[type=checkbox]:checked:after {
    width: calc(var(--borderWidth) * 5);
    transform: rotate(-45deg) translateY(calc(var(--borderWidth) * 2)) scaleX(1);
    transition: transform 200ms ease-out 200ms;
  }
  .checkbox-group input[type=checkbox]:focus {
    outline: calc(var(--borderWidth) / 2) dotted rgba(0, 0, 0, 0.25);
  }
 .checkbox-container{
  margin-top: 8px;
  display: flex;
  justify-items: left;
  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 {
  display: flex;
  justify-content: center;
  align-items: center;
  padding: 10px 20px;
-  margin-top: 10px;
+  margin-left: 300px;
-  margin-bottom: 10px;
+  margin-top: 30px;
  margin-bottom: 70px;
  background-color: #007BFF;
  color: white;
  border: none;
@@ -126,13 +197,12 @@ gap: 5px;
 }
 .mitte {
-  background-color: #FDFCFA;
+  background-color: #FFF;
  display: flex;
  width: 700px;
  flex-direction: column;
  align-items: center;
-  padding: 5% 50px;
+  padding: 40px;
  margin-top: 20px;
  gap: 10px;
  border: 0px;
  border-color: black;
@@ -141,14 +211,11 @@ gap: 5px;
  box-shadow: 0px 4px 10px rgba(0,0,0,0.1);
 }
 h1 {
  align-content: center;
 }
 .progressbar{
  position: relative;
  width: 210px;
  height: 30px;
  margin: 50px 20px 5px 20px;
  background: rgb(42, 46, 78);
  border-radius: 5px;
  overflow: hidden;
@@ -173,9 +240,10 @@ h1 {
 .dropdownMenus {
  display: flex;
-  justify-content: flex-end;
+  justify-content: center;
  margin-top: 1px;
-  gap: 150px;
+  margin-bottom: 30px;
  gap: 170px;
  padding: 2px 10px 2px 10px;
 }
@@ -184,5 +252,230 @@ h1 {
 }
 .labelDiv {
-  gap: 200px;
+  gap: 60px;
  display: flex;
  justify-content: center;
  overflow-wrap:inherit;
  padding-bottom: 20px;
  margin-top: 40px;
  margin-bottom: 10px;
 }
 /*Step bar*/
 .step-nav {
  display: flex;
  gap: 20px;
  justify-content: center;
  background: #fff;
  padding: 10px 30px;
  border-radius: 6px;
  box-shadow: 0 4px 10px rgba(0,0,0,0.1);
 }
 .step-item {
  padding: 10px 25px;
  border-radius: 8px;
  background: #eee;
  cursor: pointer;
  font-weight: bold;
  transition: 0.2s;
 }
 .step-item.active {
  background: #007BFF;
  color: white;
 }
 .step-item:hover {
  background: #d9d9d9;
 }
 /*panels*/
 .step {
  margin-top: 70px;
  display: flex;
  flex-direction: column;
  justify-content: center;
  min-height: 400px;
 }
 /*Navigation arrows*/
 .step-nav-arrows {
  display: flex;
  justify-content: space-between;
  align-items: center;
 }
 .middle-container-wrapper {
  display: flex;
  align-items: center;
  justify-content: center;
  gap: 30px;
  width: max-content;
  height: auto;
 }
 .navBtn {
  display: flex;
  justify-content: center;
  padding: 10px 25px;
  background-color: #007BFF;
  color: white;
  border: none;
  border-radius: 8px;
  cursor: pointer;
  font-size: 14px;
 }
 .navBtn:disabled {
  background-color: #ccc;
  cursor: not-allowed;
 }
 .testy{
  background-color: #FFF;
  display: flex;
  width: auto;
  flex-direction: row;
  align-items: center;
  margin-top: 20px;
  gap: 10px;
  border: 0px;
  border-color: black;
  border-style: solid;
  border-radius: 6px;
  visibility: hidden;
 }
 .box2 {
    background-color: red;
    width: 40px;
    height: 40px;
    padding: 5px;
    border: 1px solid black;
    margin: 5px;
    border-radius: 100px;
 }
 li {
  color: #FFF;
 }
 .p-menu1 {
  margin-left: 20px;
  z-index: 10;
 }
 .hamburger1 {
  height: 45px;
  margin: 0;
  padding-top: 8px;
  display: grid;
  grid-template-rows: repeat(3, 1fr);
  justify-items: center;
  z-index: 120;
 }
 .hamburger1 div {
  background-color: rgb(61, 61, 61);
  position: relative;
  width: 40px;
  height: 5px;
  margin-top: 0;
  -webkit-transition: all 0.2s ease-in-out;
  transition: all 0.2s ease-in-out;
 }
 #toggle1 {
  display: none;
 }
 #toggle1:checked + .hamburger1 .top {
  -webkit-transform: rotate(-45deg);
          transform: rotate(-45deg);
  margin-top: 22.5px;
 }
 #toggle1:checked + .hamburger1 .meat {
  -webkit-transform: rotate(45deg);
          transform: rotate(45deg);
  margin-top: -5px;
 }
 #toggle1:checked + .hamburger1 .bottom {
  -webkit-transform: scale(0);
          transform: scale(0);
 }
 #toggle1:checked ~ .menu1 {
  height: 150px;
  width: 300px;
 }
 /* Menu */
 .menu1 {
  position: absolute;
  top: 55px;
  left: 20px;
  width: 240px;
  border-radius: 5px;
  background-color: #1C3B69;
  margin: 0;
  display: grid;
  grid-template-rows: 1fr repeat(4, 0.5fr);
  grid-row-gap: 25px;
  padding: 0;
  list-style: none;
  clear: both;
  width: auto;
  text-align: center;
  height: 0px;
  overflow: hidden;
  transition: height 0.3s ease, width 0.3s ease;
  z-index: 9999;
  -webkit-transition: all 0.3s ease;
 }
 .menu1 a:first-child {
  margin-top: 30px;
 }
 .menu1 a:last-child {
  margin-bottom: 30px;
 }
 .li1 {
  color: #fff;
  width: 100%;
  margin: 0;
  padding: 10px 0px;
  font: 700 20px 'Oswald', sans-serif;
  text-decoration: none;
 }
 .li1:hover {
  background-color: #FFF;
  color: rgb(61, 61, 61);
  box-shadow: 0 4px 8px rgba(0, 0, 0, 0.1);
  -webkit-transition: all 0.3s ease;
  transition: all 0.3s ease;
 }
 #step2, #step3, #step5 {
  font-size: larger;
 }
 .download-btn {
  display: flex;
  justify-content: center;
  padding: 10px 20px;
  margin-left: 10px;
  margin-top: 30px;
  margin-bottom: 10px;
  background-color: #007BFF;
  color: white;
  border: none;
  border-radius: 8px;
  cursor: pointer;
  font-size: 14px;
 }
@@ -35,6 +35,8 @@ console.log("-------------------------------------------------------------------
 // --------------------------------------------------------- CLI COMMANDS --------------------------------------------------------- //
 const rl = readline.createInterface({
@@ -59,7 +61,7 @@ let mainWindow;
 function createWindow() {
    mainWindow = new electron.BrowserWindow({
-        width: 800,
+        width: 1200,
        height: 800,
        webPreferences: {
            nodeIntegration: false,
@@ -122,24 +124,37 @@ electron.ipcMain.handle('get-module-names', async () => {
 //     mainWindow.webContents.send("modules", module_array)
 // })
-
+var globalArgs = {}
 var globalFinalHtmlPath = ""
 electron.ipcMain.on("file_submit", async (event, args) => {
    try {
        globalArgs = args
        let curstep = 0
-        let totalsteps = 2 + args.document.styles.length
+        let totalsteps = 4
-        if(args.document.styles.length == 0)
+        const TEMPLATE_MAP = {
-            throw new Error("At least one Document Style needed");
+            "followup-report": "followup_report.txt",
            "agenda": "agenda.txt",
            "result-protocol": "result_protocol.txt",
            "sprint-planning": "sprint_planning_note.txt",
            "custom": "custom_document.txt"
        };
        const templateFile = TEMPLATE_MAP[args.document.type];
        if (!templateFile) {
            throw new Error("Unknown document type: " + args.document.type);
        }
        console.log(args);
        let audiopath = ""
        let transcriptpath = ""
        console.log("\n\n Running the Video to Audio Extractor");
        // 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 => {
+        await mapFunctions.get("module-handler").function(args.video.module, {inputVideoPath: args.video.inputVideoPath, outputType: mapFunctions.get(args.transcription.module).audioformat}).then(resp => {
-            // console.log(resp);
+            console.log(resp);
            audiopath = resp
            curstep++
            mainWindow.webContents.send("progress", {curstep:curstep, totalsteps:totalsteps})
@@ -149,38 +164,65 @@ electron.ipcMain.on("file_submit", async (event, args) => {
        })
        console.log("\n\n Running the Audio to Transcription module");
        // TODO implement transcription module
-        // // This code handles the Audio to Text transcription module call
+        // This code handles the Audio to Text transcription module call
-        // await mapFunctions.get("module-handler").function(args.transcription.module, audiopath).then(resp => {
+        await mapFunctions.get("module-handler").function(args.transcription.module, audiopath).then(resp => {
-        //     console.log(resp);
+            console.log(resp);
-        //     transcriptpath = resp
+            transcriptpath = resp
-        //     curstep++
+            curstep++
-        //     mainWindow.webContents.send("progress", {curstep:curstep, totalsteps:totalsteps})
+            mainWindow.webContents.send("progress", {curstep:curstep, totalsteps:totalsteps})
-        // }).catch(err => {
+        }).catch(err => {
-        //     mainWindow.webContents.send("error", err)
+            mainWindow.webContents.send("error", err)
-        //     return
+            return
-        // })
+        })
        console.log("\n\n Running the Transcription Summarizer module");
        // This code summarises the transcript, so that it can be used by an llm
        // await mapFunctions.get("summarize-transcription").function('A:\\programing\\@projects\\video2document\\storage\\transcripts\\IMG_2978.json').then(resp => {
        await mapFunctions.get("summarize-transcription2").function(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
        })
        console.log("\n\n Running the LLM module");
        // TODO implement documentation module
-        // // This code handles the Text to Document processing module call
+        // 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(`\n\n Running the LLM for Document Style ${args.document.type}`);
-        //         console.log(resp);
+
-        //         transcriptpath = resp
+        await mapFunctions.get("module-handler").function(args.document.module, { inputTranscriptPath: transcriptpath, documentTypePath: "./storage/documentType/" + templateFile, language: "en" }).then(resp => {
-        //         curstep++
+            console.log(resp);
-        //         mainWindow.webContents.send("progress", {curstep:curstep, totalsteps:totalsteps})
+            globalFinalHtmlPath = resp
-        //     }).catch(err => {
+            curstep++
-        //         mainWindow.webContents.send("error", err)
+            mainWindow.webContents.send("progress", {curstep:curstep, totalsteps:totalsteps})
-        //         return
+        }).catch(err => {
-        //     })
+            mainWindow.webContents.send("error", err)
-        // }
+            return
        })
        await mapFunctions.get("extract-speaker-snippets").function({audioPath: audiopath, jsonPath: transcriptpath }).then(resp => {
            mainWindow.webContents.send("submitSpeaker", resp)
            console.log(resp)
        }).catch(err => {
            mainWindow.webContents.send("error", err)
            return
        })
    } catch (error) {
        console.log(error);
    }
 })
 electron.ipcMain.on("file_download", async() => {
    await mapFunctions.get("htmlDocumentConverter").convert({inputPath:globalFinalHtmlPath, format: globalArgs.document.outputType, showDialog: true});
 })
 let q =
@@ -2,12 +2,15 @@
  "dependencies": {
    "@google/genai": "^1.30.0",
    "@types/axios": "^0.9.36",
-    "cli-progress": "^3.12.0",
+    "axios": "^1.13.2",
    "dotenv": "^17.2.3",
    "electron": "^39.1.1",
    "express": "^5.1.0",
-    "ffmpeg-static": "^5.2.0",
+    "ffmpeg-static": "^5.3.0",
-    "fluent-ffmpeg": "^2.1.3"
+    "fluent-ffmpeg": "^2.1.3",
    "html-to-docx": "^1.8.0",
    "mocha": "^11.7.5",
    "puppeteer": "^24.33.0"
  },
  "devDependencies": {
    "@types/cli-progress": "^3.11.6",
@@ -26,7 +29,7 @@
  },
  "scripts": {
    "start": "electron main.js",
-    "test": "echo \"Error: no test specified\" && exit 1"
+    "test": "mocha ./test/unit/test.js"
  },
  "repository": {
    "type": "git",
@@ -1,3 +0,0 @@
 fastapi
 uvicorn
 pytest
@@ -6,14 +6,20 @@ platform        = process.platform
 mainDir         = __dirname
 fs              = require("fs")
 readline        = require("readline")
 puppeteer       = require("puppeteer")
 htmltodocx    = require("html-to-docx")
 config          = require("./config/config")
 ffmpegPath = require('ffmpeg-static');
 ffmpeg = require('fluent-ffmpeg');
 path = require('path');
-cliProgress = require('cli-progress');
+// cliProgress = require('cli-progress');
 // { app, BrowserWindow, ipcMain, dialog } = require('electron');
 electron = require('electron');
-genai    = require("@google/genai"); 
+
 axios = require("axios")
 console.log(require('dotenv').config({path: __dirname + '/.env'}));
@@ -0,0 +1,47 @@
 const fs = require('fs');
 const path = require('path');
 //node show-models.js, remember to set SAIA_API_KEY in your environment before running the script
 const SAIA_API_KEY = process.env.SAIA_API_KEY;
 const SAIA_MODELS_URL = "https://chat-ai.academiccloud.de/v1/models";
 // Script to list available models
 (async () => {
    if (!SAIA_API_KEY) {
        console.error("ERROR: SAIA_API_KEY environment variable is not set!");
        process.exit(1);
    }
    console.log("Fetching available models from SAIA...\n");
    try {
        const response = await fetch(SAIA_MODELS_URL, {
            method: "GET",
            headers: {
                "Authorization": `Bearer ${SAIA_API_KEY}`,
                "Accept": "application/json"
            }
        });
        if (!response.ok) {
            const text = await response.text();
            throw new Error(`SAIA API error (${response.status}): ${text}`);
        }
        const data = await response.json();
        console.log("Available models:");
        console.log(JSON.stringify(data, null, 2));
        if (data.data && Array.isArray(data.data)) {
            console.log("\n\nModel IDs:");
            data.data.forEach(model => {
                console.log(`- ${model.id}`);
            });
        }
    } catch (error) {
        console.error("Error fetching models:", error);
    }
 })();
@@ -0,0 +1,102 @@
 const ffmpeg = require("fluent-ffmpeg");
 const ffmpegPath = require("ffmpeg-static");
 ffmpeg.setFfmpegPath(ffmpegPath);
 module.exports = {
    name: "extract-speaker-snippets",
    type: "audio",
    displayname: "Extract Speaker Snippets",
    async function(parameter) {
        return new Promise(async (resolve, reject) => {
            let output = {}
            // console.log("Extract Speaker Snippets\n");
            // Pfade
            const AUDIO_PATH = parameter.audioPath; // Gesamt-Audio
            const JSON_PATH = parameter.jsonPath; // json summary
            const OUTPUT_DIR = path.join(__dirname, "/../../../storage/audio/speakerSnippets");
            if (!AUDIO_PATH || !JSON_PATH) {
                // console.error("no audioPath or jsonPath available");
                reject(new Error("no audioPath or jsonPath available"));
                return;
            }
            // Output-Ordner
            if (!fs.existsSync(OUTPUT_DIR)) {
                fs.mkdirSync(OUTPUT_DIR, { recursive: true });
            }
            // JSON laden
            let entries;
                try {
                    entries = JSON.parse(fs.readFileSync(JSON_PATH, "utf8"));
                } catch (err) {
                    // console.error("JSON reading failed", err);
                    reject(new Error(err));
                    return;
                }
                if (!Array.isArray(entries)) {
                    // console.error("JSON is not an Array");
                    reject(new Error("JSON is not an Array"));
                    return;
                }
            // Pro Speaker genau EINEN Satz merken
            const speakerMap = {};
            for (const item of entries) {
                if (!speakerMap[item.speaker]) {
                    speakerMap[item.speaker] = item;
                }
            }
            // FFmpeg pro Speaker ausführen (sequenziell)
            for (const speaker of Object.keys(speakerMap)) {
                const data = speakerMap[speaker];
                // ms → Sekunden
                const startSec = data.start / 1000;
                const durationSec = (data.end - data.start) / 1000;
                if (durationSec <= 0) {
                    // console.log(`invalid times for Speaker ${speaker}`);
                    continue;
                }
                const outFile = path.join(OUTPUT_DIR, `speaker_${speaker}.wav`);
                try {
                    await new Promise((res, rej) => {
                        ffmpeg(AUDIO_PATH)
                            .setStartTime(startSec)
                            .setDuration(durationSec)
                            .output(outFile)
                            .on("end", () => {
                                output[`speaker${speaker}`] = {src: outFile, name: `speaker${speaker}`}
                                // console.log(`Snippet erstellt: speaker_${speaker}.wav`);
                                res();
                            })
                            .on("error", (err) => {
                                // console.error(`FFmpeg Fehler (${speaker})`, err.message);
                                rej(err);
                                return
                            })
                            .run();
                    });
                } catch (error) {
                    reject(error)
                    return
                }
            }
            resolve(output)
            // console.log("\nAlle Speaker-Snippets erstellt\n");
        })
    }
 };
@@ -0,0 +1,194 @@
 const fs = require('fs');
 const path = require('path');
 const puppeteer = require('puppeteer');
 const htmlToDocx = require('html-to-docx');
 const { execSync } = require('child_process');
 const os = require('os');
 const outputDir = path.join(__dirname, "../../../storage/documents");
 if (!fs.existsSync(outputDir)) {
    fs.mkdirSync(outputDir, { recursive: true });
 }
 async function showSaveDialog(defaultName, format) {
    const platform = os.platform();
    if (platform === 'darwin') {
        // macOS
        const applescript = `
            set defaultName to "${defaultName}.${format}"
            set theFile to choose file name with prompt "Dokument speichern als:" default name defaultName
            POSIX path of theFile
        `;
        try {
            const result = execSync(`osascript -e '${applescript}'`, { encoding: 'utf8' });
            return result.trim();
        } catch (err) {
            if (err.status === 1) return null; // User canceled
            throw err;
        }
    } else if (platform === 'win32') {
        // Windows
        const powershell = `
            Add-Type -AssemblyName System.Windows.Forms
            $dialog = New-Object System.Windows.Forms.SaveFileDialog
            $dialog.FileName = "${defaultName}.${format}"
            $dialog.Filter = "${format.toUpperCase()} Dateien (*.${format})|*.${format}|Alle Dateien (*.*)|*.*"
            $dialog.Title = "Dokument speichern als"
            $result = $dialog.ShowDialog()
            if ($result -eq 'OK') { $dialog.FileName }
        `;
        try {
            const result = execSync(`powershell -Command "${powershell.replace(/\n/g, '; ')}"`, { 
                encoding: 'utf8' 
            });
            return result.trim() || null;
        } catch (err) {
            throw err;
        }
    } else {
        // Linux - zenity oder kdialog
        try {
            const result = execSync(
                `zenity --file-selection --save --confirm-overwrite --filename="${defaultName}.${format}"`, 
                { encoding: 'utf8' }
            );
            return result.trim();
        } catch (err) {
            try {
                const result = execSync(
                    `kdialog --getsavefilename . "${defaultName}.${format}"`, 
                    { encoding: 'utf8' }
                );
                return result.trim();
            } catch (err2) {
                // Fallback
                return path.join(os.homedir(), 'Downloads', `${defaultName}.${format}`);
            }
        }
    }
 }
 const module_exports = {
    name: "htmlDocumentConverter",
    type: "converter",
    displayname: "HTML Document Converter",
    description: "Converts LLM-generated HTML to PDF, DOCX, TXT, or HTML",
    /**
     * Main conversion function
     * @param {Object} options
     * @param {string} options.inputPath - Path to the HTML input
     * @param {string} options.format - 'pdf' | 'docx' | 'html' | 'txt'
     * @param {string} [options.outputName] - Optional output filename (without extension)
     * @param {boolean} [options.showDialog] - Show save dialog (default: false in module mode, true in CLI mode)
     */
    async convert({ inputPath, format = 'pdf', outputName, showDialog = false }) {
        if (!fs.existsSync(inputPath)) {
            throw new Error(`Input file not found: ${inputPath}`);
        }
        const ext = path.extname(inputPath).toLowerCase();
        const baseName = outputName || path.basename(inputPath, ext);
        let outputFile;
        if (showDialog) {
            // Zeige nativen Dialog
            outputFile = await showSaveDialog(baseName, format);
            if (!outputFile) {
                console.log('Speichervorgang abgebrochen.');
                return null;
            }
        } else {
            // Nutze Standard-Ausgabeverzeichnis
            outputFile = path.join(outputDir, `${baseName}.${format.toLowerCase()}`);
        }
        let htmlContent = fs.readFileSync(inputPath, 'utf8');
        // Remove <think> tags if present
        htmlContent = htmlContent.replace(/<think>[\s\S]*?<\/think>/gi, '');
        switch (format.toLowerCase()) {
            case 'html':
                fs.writeFileSync(outputFile, htmlContent, 'utf8');
                break;
            case 'pdf':
                await this.htmlToPDF(htmlContent, outputFile);
                break;
            case 'docx':
                await this.htmlToDOCX(htmlContent, outputFile);
                break;
            case 'txt':
                fs.writeFileSync(outputFile, this.htmlToTXT(htmlContent), 'utf8');
                break;
            default:
                throw new Error(`Unsupported format: ${format}`);
        }
        console.log(`Erfolgreich gespeichert: ${outputFile}`);
        return outputFile;
    },
    // HTML → PDF
    async htmlToPDF(html, outputPath) {
        const browser = await puppeteer.launch({ 
            headless: true,
            args: ['--no-sandbox', '--disable-setuid-sandbox']
        });
        const page = await browser.newPage();
        await page.setContent(html, { waitUntil: 'networkidle0' });
        await page.pdf({ 
            path: outputPath, 
            format: 'A4', 
            printBackground: true,
            margin: { top: '20mm', right: '20mm', bottom: '20mm', left: '20mm' }
        });
        await browser.close();
    },
    // HTML → DOCX
    async htmlToDOCX(html, outputPath) {
        const buffer = await htmlToDocx(html);
        fs.writeFileSync(outputPath, buffer);
    },
    // HTML → TXT (rudimentär)
    htmlToTXT(html) {
        return html.replace(/<[^>]*>/g, '').replace(/\s+\n/g, '\n').trim();
    }
 };
 module.exports = module_exports;
 // CLI usage mit Dialog
 if (require.main === module) {
    (async () => {
        const args = process.argv.slice(2);
        if (args.length < 1) {
            console.log('Usage: node htmlDocumentConverter.js <input.html> [format]');
            console.log('Formats: pdf (default), docx, html, txt');
            console.log('');
            console.log('Ein nativer "Speichern unter" Dialog wird automatisch geöffnet.');
            process.exit(1);
        }
        const inputPath = args[0];
        const format = args[1] || 'pdf';
        try {
            await module_exports.convert({ 
                inputPath, 
                format, 
                showDialog: true  
            });
        } catch (err) {
            console.error('Konvertierung fehlgeschlagen:', err.message);
            process.exit(1);
        }
    })();
 }
@@ -24,17 +24,11 @@ module.exports = {
            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)
+                this.extractAudioFromVideo(parameter.inputVideoPath, parameter.outputType)
                    .then((resp) => resolve(resp))
-                    .catch((err) => console.error(err));
+                    .catch((err) => {reject(err)});
            })
        } catch (error) {
            console.log(parameter.outputType);
@@ -52,7 +46,7 @@ module.exports = {
     * - Shows CLI progress bar
     * - Handles errors gracefully (without errors)
     */
-    extractAudioFromVideo: async function (videoFilePath, progressBar, outputType){
+    extractAudioFromVideo: async function (videoFilePath, outputType){
        let inputVideoName = path.basename(videoFilePath, path.extname(videoFilePath));
        let outputAudioPath = path.join(outputDir, `${inputVideoName}.${outputType}`);
@@ -63,28 +57,17 @@ module.exports = {
                // .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}`);
                    console.error(`failed_audio_extraction on type ${outputType}: ${err.message}`);
                    reject(err);
                })
                .save(outputAudioPath);
            } catch (error) {
-                console.log();
+                // console.log(error);
            }
        });
    }
@@ -0,0 +1,154 @@
 // Prepare output directory (always storage/transcriptionSummaries under project root)
 const outputDir = `${__dirname}/../../../storage/transcriptionSummaries`;
 if (!fs.existsSync(outputDir)) {
    fs.mkdirSync(outputDir, { recursive: true });
 }
 //Speaker, ALL-Sentences, Start, End
 module.exports = {
    name: "summarize-transcription", // Unique name for our function that will later be used to get the function from the map via "mapFunctions.get("example").function()"
    type: "summarizer", // value used to differentiate each module to order them in the UI
    displayname: "Summarizer",  // The displayname used within the UI
    async function(args) {
        return new Promise(async (resolve, reject) => {
            let inputJson = args.json;
            //JSON Path
            if (args.jsonPath) {
                try {
                    const raw = fs.readFileSync(args.jsonPath, "utf-8");
                    inputJson = JSON.parse(raw);
                } catch (e) {
                    // console.error("Failed to load JSON from file:", e);
                    reject(e)
                    return
                }
            }
            // JSON parsen
            if (typeof args === "string") {
                try {
                    await new Promise((res, rej) => {
                        fs.readFile(args, 'utf8', function (err, data) {
                            if (err){
                                rej(err)
                                return
                            }
                            inputJson = JSON.parse(data);
                            res()
                        });
                    })
                } catch (e) {
                    // console.log("Invalid JSON in summarize-transcription");
                    // console.log(e)
                    reject(e)
                    return
                }
            }
            const words = inputJson.words;
            if (!Array.isArray(words)) {
                    reject("No words Array found")
                    return
            }
            const ENDINGS = [".", "!", "?"]; // '...' auch als Satzende ?
            const ABBREVIATIONS = new Set(["z.B.", "bzw.", "u.a.", "Dr.", "Mr.", "Mrs.", "Prof.", "etc."]); //TODO weitere Ergaenzen
            const result = [];
            let currentSentence = "";
            let currentSpeaker = null;
            let startTime = null;
            let endTime = null;
            for (const w of words) {
                if (!currentSpeaker) currentSpeaker = w.speaker;
                if (startTime === null) startTime = w.start;
                endTime = w.end;
                //speaker changing
                if (currentSpeaker !== w.speaker && currentSentence) { 
                    const lastEntry = result[result.length - 1];
                    if (lastEntry && lastEntry.speaker === currentSpeaker) {
                        lastEntry.sentence += " " + currentSentence;
                        lastEntry.end = endTime;
                    } else {
                        result.push({
                            speaker: currentSpeaker,
                            sentence: currentSentence,
                            start: startTime,
                            end: endTime
                        });
                    }
                    currentSentence = "";
                    startTime = w.start;
                }
                currentSpeaker = w.speaker;
                currentSentence += (currentSentence ? " " : "") + w.text; //sentence beginning or not
                const lastWord = w.text.trim();
                const lastChar = lastWord.slice(-1);
                const isAbbreviation = ABBREVIATIONS.has(lastWord);
                //sentence ending
                if (ENDINGS.includes(lastChar) && !isAbbreviation) {
                    const lastEntry = result[result.length - 1];
                    if (lastEntry && lastEntry.speaker === currentSpeaker) {
                        lastEntry.sentence += " " + currentSentence;
                        lastEntry.end = endTime;
                    } else {
                        result.push({
                            speaker: currentSpeaker,
                            sentence: currentSentence,
                            start: startTime,
                            end: endTime
                        });
                    }
                    currentSentence = "";
                    startTime = null;
                    endTime = null;
                    currentSpeaker = null;
                }
            }
            // safe last sentence 
            if (currentSentence) {
                const lastEntry = result[result.length - 1];
                if (lastEntry && lastEntry.speaker === currentSpeaker) {
                    lastEntry.sentence += " " + currentSentence;
                    lastEntry.end = endTime;
                } else {
                    result.push({
                        speaker: currentSpeaker,
                        sentence: currentSentence,
                        start: startTime,
                        end: endTime
                    });
                }
            }
            // Output as Text
            const output = result.map(r => 
                `Sprecher ${r.speaker} [${r.start.toFixed(2)} - ${r.end.toFixed(2)}]: ${r.sentence}`
            );
            // Output on cosole
            //console.log("\n------------\nMerged Transcription Result:\n", output, "\n------------\n");
            try {
                const jsonPath = path.join(outputDir, "transcription_result.json");
                fs.writeFileSync(jsonPath, JSON.stringify(result, null, 2), "utf-8");
                const txtPath = path.join(outputDir, "transcription_result.txt");
                fs.writeFileSync(txtPath, output.join("\n"), "utf-8");
                // console.log(`Summary successfully saved:\n- ${jsonPath}\n- ${txtPath}`);
                resolve(jsonPath);
            } catch (err) {
                // console.error("Error saving Summary:", err);
                reject(err);
            }
        })
    }
 }
@@ -0,0 +1,149 @@
 // Prepare output directory (always storage/transcriptionSummaries under project root)
 const outputDir = `${__dirname}/../../../storage/transcriptionSummaries`;
 if (!fs.existsSync(outputDir)) {
    fs.mkdirSync(outputDir, { recursive: true });
 }
 function getSessionId(inputPath) {
  try {
    const parsed = new URL(inputPath);
    const base = path.basename(parsed.pathname);
    return base.replace(/\.[^.]+$/, '');
  } catch {
    return path.basename(inputPath, path.extname(inputPath));
  }
 }
 //Speaker, Sentence, Start, End
 module.exports = {
    name: "summarize-transcription2", // Unique name for our function that will later be used to get the function from the map via "mapFunctions.get("example").function()"
    type: "summarizer", // value used to differentiate each module to order them in the UI
    displayname: "Summarizer",  // The displayname used within the UI
    async function(args) {
        return new Promise(async (resolve, reject) => {
            let inputJson = args.json;
            //JSON Path
            if (args.jsonPath) {
                try {
                    const raw = fs.readFileSync(args.jsonPath, "utf-8");
                    inputJson = JSON.parse(raw);
                } catch (e) {
                    console.error("Failed to load JSON from file:", e);
                    reject("Could not read JSON from file path.")
                    return
                }
            }
            // JSON parsen
            if (typeof args === "string") {
                try {
                    await new Promise((res, rej) => {
                        fs.readFile(args, 'utf8', function (err, data) {
                            if (err){
                                rej(err)
                                return
                            }
                            inputJson = JSON.parse(data);
                            res()
                        });
                    })
                } catch (e) {
                    // console.log("Invalid JSON in summarize-transcription");
                    // console.log(e)
                    reject(e)
                    return
                }
            }
            const words = inputJson.words;
            if (!Array.isArray(words)) {
                reject("No words Array found")
                return;
            }
            const ENDINGS = [".", "!", "?"]; // '...' auch als Satzende ?
            const ABBREVIATIONS = new Set(["z.B.", "bzw.", "u.a.", "Dr.", "Mr.", "Mrs.", "Prof.", "etc."]); //TODO weitere Ergaenzen
            const result = [];
            let currentSentence = "";
            let currentSpeaker = null;
            let startTime = null;
            let endTime = null;
            for (const w of words) {
                if (!currentSpeaker) currentSpeaker = w.speaker;
                if (startTime === null) startTime = w.start;
                endTime = w.end;
                //speaker changing
                if (currentSpeaker !== w.speaker && currentSentence) {
                    result.push({
                        speaker: currentSpeaker,
                        sentence: currentSentence,
                        start: startTime,
                        end: endTime
                    });
                    currentSentence = "";
                    startTime = w.start;
                }
                currentSpeaker = w.speaker;
                currentSentence += (currentSentence ? " " : "") + w.text; //sentence beginning or not
                const lastWord = w.text.trim();
                const lastChar = lastWord.slice(-1);
                const isAbbreviation = ABBREVIATIONS.has(lastWord);
                //sentence ending
                if (ENDINGS.includes(lastChar) && !isAbbreviation) {
                    result.push({
                        speaker: currentSpeaker,
                        sentence: currentSentence,
                        start: startTime,
                        end: endTime
                    });
                    currentSentence = "";
                    startTime = null;
                    endTime = null;
                    currentSpeaker = null;
                }
            }
            // safe last sentence 
            if (currentSentence) {
                result.push({
                    speaker: currentSpeaker,
                    sentence: currentSentence,
                    start: startTime,
                    end: endTime
                });
            }
            // Output as Text
            const output = result.map(r => 
                `Sprecher ${r.speaker} [${r.start.toFixed(2)} - ${r.end.toFixed(2)}]: ${r.sentence}`
            );
            // Output on cosole
            //console.log("\n------------\nMerged Transcription Result:\n", output, "\n------------\n");
            try {
                let filename = getSessionId(args);
                const jsonPath = path.join(outputDir, `${filename}-${new Date().getTime()}.json`);
                fs.writeFileSync(jsonPath, JSON.stringify(result, null, 2), "utf-8");
                const txtPath = path.join(outputDir, `${filename}-${new Date().getTime()}.txt`);
                fs.writeFileSync(txtPath, output.join("\n"), "utf-8");
                // console.log(`Summary successfully saved:\n- ${jsonPath}\n- ${txtPath}`);
                resolve(jsonPath);
            } catch (err) {
                // console.error("Error saving Summary:", err);
                reject(err);
            }
        })
    }
 }
@@ -1,8 +1,137 @@
-module.exports = {
+// const fs = require('fs');
-    name:"chatgpt", // Unique name for our function that will later be used to get the function from the map via "mapFunctions.get("example").function()"
+// const path = require('path');
-    type:"llm", // value used to differentiate each module to order them in the UI
+
-    displayname:"ChatGPT", // The displayname used within the UI
+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
 }
 // Ensure SAIA API key is set in environment variables: export SAIA_API_KEY="your_api_key_here"
 const SAIA_API_KEY = process.env.SAIA_API_KEY; // Ensure SAIA API key is set in environment variables
 const SAIA_URL = "https://chat-ai.academiccloud.de/v1/chat/completions"; // URL for the REST call, used model and action
 const module_exports = {
    name: "llm-saia_openai_gpt",
    type: "llm",
    displayname: "GPT 120B",
    description: "Generates documents using OpenAI GPT OSS 120B via SAIA platform",
    async function(parameter) {
-        // TODO add code to actually send the transcript to ChatGPT and get a response back
+        return new Promise(async (resolve, reject) => {
            try {
                // console.log("SAIA OpenAI GPT module invoked with parameters:", parameter);
                resolve(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 SAIA OpenAI GPT module:", error);
                reject(error)
            }
        })
    },
    createDocumentFromTranscript: async function(transcriptPath, documentTypePath, language = "en") { // default language is English
        return new Promise(async(resolve, reject) => {
            try {
                const transcript = await fs.promises.readFile(transcriptPath, "utf-8"); //read transcript file from Path
                const documentType = await fs.promises.readFile(documentTypePath, "utf-8"); //read document type from Path
                const promptText = `${documentType}, in language ${language}, transcript:\n\n${transcript}`; //combine doc type, language and transcript - Change prompt here if needed
                // return
                // --- REST CALL ---
                const response = await fetch(SAIA_URL, { //safe model response in variable
                    method: "POST",
                    headers: {
                        "Authorization": `Bearer ${SAIA_API_KEY}`,
                        "Accept": "application/json",
                        "Content-Type": "application/json"
                    },
                    body: JSON.stringify({
                        model: "openai-gpt-oss-120b",
                        messages: [
                            { role: "system", content: "You are a helpful assistant that generates HTML documents from transcripts. Output only valid HTML content without any preamble, explanations, or markdown formatting." },
                            { role: "user", content: promptText }
                        ],
                        temperature: 0
                    })
                });
                if (!response.ok) { //ok is true when a responce was successfull
                    const text = await response.text();
                    throw new Error(`SAIA API error (${response.status}): ${text}`);
                }
                const data = await response.json();
                // Get generated text from response or default to empty string (if null)
                // SAIA uses OpenAI-compatible structure: data.choices[x].message.content
                const output = data.choices?.[0]?.message?.content || "";
                let inputTranscriptName = path.basename(transcriptPath, path.extname(transcriptPath)); // Name for the output file 
                // console.log(inputTranscriptName);
                const outPath = path.join(outputDir, `${inputTranscriptName}.html`); // Output file path & name to make naming dynamic. Pulled from input transcript name
                fs.writeFileSync(outPath, output, "utf8"); // Write output to file
                // console.log("Generated document written to:", outPath);
                resolve(outPath)
            } catch (error) {
                // console.error("Error generating SAIA content:", error);
                reject(error)
            }
        })
    }
 };
 module.exports = module_exports;
 // CLI Mode: Allow direct execution
 if (require.main === module) {
    (async () => {
        const args = process.argv.slice(2);
        if (args.length < 2) {
            console.error("Usage: node llm-openai-gpt.js <transcriptPath> <documentTypePath> [language]");
            console.error("Example: node llm-openai-gpt.js ./transcript.json ./docType.txt de");
            process.exit(1);
        }
        const [transcriptPath, documentTypePath, language] = args;
        // Check if API key is set
        if (!SAIA_API_KEY) {
            console.error("ERROR: SAIA_API_KEY environment variable is not set!");
            console.error("Please set it with: export SAIA_API_KEY='your_api_key_here'");
            process.exit(1);
        }
        // Check if files exist
        if (!fs.existsSync(transcriptPath)) {
            console.error(`ERROR: Transcript file not found: ${transcriptPath}`);
            process.exit(1);
        }
        if (!fs.existsSync(documentTypePath)) {
            console.error(`ERROR: Document type file not found: ${documentTypePath}`);
            process.exit(1);
        }
        console.log("Starting document generation...");
        console.log(`Transcript: ${transcriptPath}`);
        console.log(`Document Type: ${documentTypePath}`);
        console.log(`Language: ${language || 'en (default)'}`);
        await module_exports.createDocumentFromTranscript(
            transcriptPath,
            documentTypePath,
            language || 'en'
        );
        console.log("Done!");
    })();
 }
@@ -1,55 +1,134 @@
 const fs = require('fs');
 const path = require('path');
 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({ 
+// Ensure Google API key is set in environment variables: export GOOGLE_API_KEY="your_api_key_here"
-    apiKey: process.env.GOOGLE_API_KEY // Ensure Google API key is set in environment variables: export GOOGLE_API_KEY="your_api_key_here"
+const GEMINI_API_KEY = process.env.GOOGLE_API_KEY; // Ensure Google API key is set in environment variables: export GOOGLE_API_KEY="your_api_key_here"
-});
+const GEMINI_URL = "https://generativelanguage.googleapis.com/v1beta/models/gemini-2.5-flash:generateContent"; // URL for the REST call, used model and action
-module.exports = {
+const module_exports = {
    name: "llm-gemini",
    type: "llm",
    displayname: "Gemini LLM",
    description: "Generates documents using Google Gemini LLM",
    async function(parameter) {
        return new Promise(async (resolve, reject) => {
            try {
-            console.log("Gemini LLM module invoked with parameters:", parameter);
+                // console.log("Gemini LLM module invoked with parameters:", parameter);
-            await this.createDocumentFromTranscript( //Call the function to create document with transcript, document type and language
+                resolve(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);
+                // console.error("Error in Gemini LLM module:", error);
                reject(error)
            }
        })
    },
    createDocumentFromTranscript: async function(transcriptPath, documentTypePath, language = "en") { // default language is English
        return new Promise(async(resolve, reject) => {
            try {
-            const transcript = await fs.promises.readFile(transcriptPath, "utf-8");
+                const transcript = await fs.promises.readFile(transcriptPath, "utf-8"); //read transcript file from Path
-            const documentType = await fs.promises.readFile(documentTypePath, "utf-8");
+                const documentType = await fs.promises.readFile(documentTypePath, "utf-8"); //read document type from Path
                const promptText = `${documentType}, in language ${language}, transcript:\n\n${transcript}`; //combine doc type, language and transcript - Change prompt here if needed
-            const promptText = `${documentType}, in language ${language}, transcript:\n\n${transcript}`;
+                // --- REST CALL ---
-
+                const response = await fetch(`${GEMINI_URL}?key=${GEMINI_API_KEY}`, { //safe model response in variable
-            const response = await ai.models.generateContent({
+                    method: "POST",
-                model: "gemini-2.5-flash", // Specify the Gemini model to use
+                    headers: {
-                contents: promptText // Input prompt for content generation
+                        "Content-Type": "application/json"
                    },
                    body: JSON.stringify({
                        contents: [
                            {
                                parts: [
                                    { text: promptText } // Input prompt for content generation
                                ]
                            }
                        ]
                    })
                });
-            const output = response.text || ""; // Get generated text from response or default to empty string (if null)
+                if (!response.ok) { //ok is true when a responce was successfull
                    const text = await response.text();
                    throw new Error(`Gemini API error (${response.status}): ${text}`);
                }
-            const outPath = path.join(outputDir, "test.md"); // Output file path & name TO BE DONE to make dynamic out of input transcript name
+                const data = await response.json();
                // Get generated text from response or default to empty string (if null)
                const output = data?.candidates?.[0]?.content?.parts?.[0]?.text || "";
                let inputTranscriptName = path.basename(transcriptPath, path.extname(transcriptPath)); // Name for the output file 
                // console.log(inputTranscriptName);
                const outPath = path.join(outputDir, `${inputTranscriptName}.html`); // Output file path & name to make naming dynamic. Pulled from input transcript name
                fs.writeFileSync(outPath, output, "utf8"); // Write output to file
-            console.log("Generated document written to:", outPath);
+                // console.log("Generated document written to:", outPath);
                resolve(outPath)
            } catch (error) {
-            console.error("Error generating Gemini content:", error);
+                // console.error("Error generating Gemini content:", error);
                reject(error)
            }
        })
    }
 };
 module.exports = module_exports;
 // CLI Mode: Allow direct execution
 if (require.main === module) {
    (async () => {
        const args = process.argv.slice(2);
        if (args.length < 2) {
            console.error("Usage: node llm-gemini.js <transcriptPath> <documentTypePath> [language]");
            console.error("Example: node llm-gemini.js ./transcript.json ./docType.txt de");
            process.exit(1);
        }
        const [transcriptPath, documentTypePath, language] = args;
        // Check if API key is set
        if (!GEMINI_API_KEY) {
            console.error("ERROR: GOOGLE_API_KEY environment variable is not set!");
            console.error("Please set it with: export GOOGLE_API_KEY='your_api_key_here'");
            process.exit(1);
        }
        // Check if files exist
        if (!fs.existsSync(transcriptPath)) {
            console.error(`ERROR: Transcript file not found: ${transcriptPath}`);
            process.exit(1);
        }
        if (!fs.existsSync(documentTypePath)) {
            console.error(`ERROR: Document type file not found: ${documentTypePath}`);
            process.exit(1);
        }
        console.log("Starting document generation...");
        console.log(`Transcript: ${transcriptPath}`);
        console.log(`Document Type: ${documentTypePath}`);
        console.log(`Language: ${language || 'en (default)'}`);
        await module_exports.createDocumentFromTranscript(
            transcriptPath,
            documentTypePath,
            language || 'en'
        );
        console.log("Done!");
    })();
 }
@@ -0,0 +1,136 @@
 const fs = require('fs');
 const path = require('path');
 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
 }
 // Ensure SAIA API key is set in environment variables: export SAIA_API_KEY="your_api_key_here"
 const SAIA_API_KEY = process.env.SAIA_API_KEY;
 const SAIA_URL = "https://chat-ai.academiccloud.de/v1/chat/completions"; // URL for the REST call, used model and action
 const module_exports = {
    name: "qwen3-235b-a22b",
    type: "llm",
    displayname: "QWEN 3 235B",
    description: "Generates documents using QWEN 3 235B via SAIA platform",
    async function(parameter) {
        return new Promise(async (resolve, reject) => {
            try {
                // console.log("SAIA QWEN 3 235B module invoked with parameters:", parameter);
                resolve(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 SAIA QWEN 3 235B module:", error);
                reject(error)
            }
        })
    },
    createDocumentFromTranscript: async function(transcriptPath, documentTypePath, language = "en") { // default language is English
        return new Promise(async(resolve, reject) => {
            try {
                const transcript = await fs.promises.readFile(transcriptPath, "utf-8"); //read transcript file from Path
                const documentType = await fs.promises.readFile(documentTypePath, "utf-8"); //read document type from Path
                const promptText = `${documentType}, in language ${language}, transcript:\n\n${transcript}`; //combine doc type, language and transcript - Change prompt here if needed
                // --- REST CALL ---
                const response = await fetch(SAIA_URL, { //safe model response in variable
                    method: "POST",
                    headers: {
                        "Authorization": `Bearer ${SAIA_API_KEY}`,
                        "Accept": "application/json",
                        "Content-Type": "application/json"
                    },
                    body: JSON.stringify({
                        model: "qwen3-235b-a22b",
                        messages: [
                            { role: "system", content: "You are a helpful assistant that generates HTML documents from transcripts. Output only valid HTML content without any preamble, explanations, or markdown formatting." },
                            { role: "user", content: promptText }
                        ],
                        temperature: 0
                    })
                });
                if (!response.ok) { //ok is true when a responce was successfull
                    const text = await response.text();
                    throw new Error(`SAIA API error (${response.status}): ${text}`);
                }
                const data = await response.json();
                // Get generated text from response or default to empty string (if null)
                // SAIA uses OpenAI-compatible structure: data.choices[x].message.content
                const output = data.choices?.[0]?.message?.content || "";
                let inputTranscriptName = path.basename(transcriptPath, path.extname(transcriptPath)); // Name for the output file 
                // console.log(inputTranscriptName);
                const outPath = path.join(outputDir, `${inputTranscriptName}.html`); // Output file path & name to make naming dynamic. Pulled from input transcript name
                fs.writeFileSync(outPath, output, "utf8"); // Write output to file
                // console.log("Generated document written to:", outPath);
                resolve(outPath)
            } catch (error) {
                // console.error("Error generating SAIA content:", error);
                reject(error)
            }
        })
    }
 };
 module.exports = module_exports;
 // CLI Mode: Allow direct execution
 if (require.main === module) {
    (async () => {
        const args = process.argv.slice(2);
        if (args.length < 2) {
            console.error("Usage: node qwen3.js <transcriptPath> <documentTypePath> [language]");
            console.error("Example: node qwen3.js ./transcript.json ./docType.txt de");
            process.exit(1);
        }
        const [transcriptPath, documentTypePath, language] = args;
        // Check if API key is set
        if (!SAIA_API_KEY) {
            console.error("ERROR: SAIA_API_KEY environment variable is not set!");
            console.error("Please set it with: export SAIA_API_KEY='your_api_key_here'");
            process.exit(1);
        }
        // Check if files exist
        if (!fs.existsSync(transcriptPath)) {
            console.error(`ERROR: Transcript file not found: ${transcriptPath}`);
            process.exit(1);
        }
        if (!fs.existsSync(documentTypePath)) {
            console.error(`ERROR: Document type file not found: ${documentTypePath}`);
            process.exit(1);
        }
        console.log("Starting document generation...");
        console.log(`Transcript: ${transcriptPath}`);
        console.log(`Document Type: ${documentTypePath}`);
        console.log(`Language: ${language || 'en (default)'}`);
        await module_exports.createDocumentFromTranscript(
            transcriptPath,
            documentTypePath,
            language || 'en'
        );
        console.log("Done!");
    })();
 }
@@ -1,8 +1,125 @@
 const API_KEY = process.env.ASSEMBLYAI_API_KEY;
 const BASE_URL = 'https://api.assemblyai.com/v2';
 //---------------------------------------------------Upload audio---------------------------------------------------
 async function uploadAudio(audioPath) {
  const audioData = fs.readFileSync(audioPath);
  const response = await axios.post(`${BASE_URL}/upload`, audioData, {
    headers: {
      authorization: API_KEY,
      'content-type': 'application/octet-stream'
    }
  });
  return response.data.upload_url;
 }
 ////---------------------------------------------------Extract session id---------------------------------------------------
 function getSessionId(inputPath) {
  try {
    const parsed = new URL(inputPath);
    const base = path.basename(parsed.pathname);
    return base.replace(/\.[^.]+$/, '');
  } catch {
    return path.basename(inputPath, path.extname(inputPath));
  }
 }
 //---------------------------------------------------Create transcript---------------------------------------------------
 async function createTranscript(audioUrl) {
  const response = await axios.post(
    `${BASE_URL}/transcript`,
    {
      audio_url: audioUrl,
      speaker_labels: true,
      language_detection: true
    },
    {
      headers: {
        authorization: API_KEY,
        'content-type': 'application/json'
      }
    }
  );
  return response.data.id;
 }
 //---------------------------------------------------Poll transcript---------------------------------------------------
 async function pollTranscript(transcriptId) {
  while (true) {
    const response = await axios.get(`${BASE_URL}/transcript/${transcriptId}`, {
      headers: { authorization: API_KEY }
    });
    const status = response.data.status;
    if (status === 'completed') return response.data;
    if (status === 'error') throw new Error(`Transcription failed: ${response.data.error}`);
    await new Promise(res => setTimeout(res, 3000));
  }
 }
 //---------------------------------------------------Save transcript---------------------------------------------------
 function saveTranscript(transcript, sessionId) {
  const outputDir = path.join(__dirname, '../../../storage/transcripts');
  if (!fs.existsSync(outputDir)) {
    fs.mkdirSync(outputDir, { recursive: true });
  }
  const outputPath = path.join(outputDir, `${sessionId}.json`);
  fs.writeFileSync(outputPath, JSON.stringify(transcript, null, 2));
  // console.log(`Transcript saved: ${outputPath}`);
  return outputPath;
 }
 //---------------------------------------------------Modul---------------------------------------------------
 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()"
+  name: 'assembly',
-    type:"transcription", // value used to differentiate each module to order them in the UI
+  type: 'transcription',
-    displayname:"Assembly", // The displayname used within the UI
+  displayname: 'AssemblyAI',
-    async function(parameter){
+  audioformat: "mp3",
-        // TODO add code to actually process the audio file
+
  async function(audioFileName) {
    return new Promise(async (resolve, reject) => {
      try {
        // audioFileName ist nur "datei.mp3"
        const audioPath = audioFileName;
        let audioUrl;
        if (/^https?:\/\//i.test(audioFileName)) {
          audioUrl = audioFileName;
        } else {
          if (!fs.existsSync(audioPath)) {
            throw new Error(`Audio file not found: ${audioPath}`);
          }
          audioUrl = await uploadAudio(audioPath);
        }
        const transcriptId = await createTranscript(audioUrl);
        const transcript = await pollTranscript(transcriptId);
        const sessionId = getSessionId(audioFileName);
        resolve(saveTranscript(transcript, sessionId));
      } catch (error) {
        // console.error('Transcription error:', error.message);
        reject(error);
        return
      }
    })
  }
 };
@@ -1,3 +1,4 @@
 module.exports = {
    name:"Startup_function",
    async function(){
@@ -6,6 +7,14 @@ module.exports = {
        // We are now calling the example function from the example folder
        mapFunctions.get("example").function("Startup")
    //    let transcript = await mapFunctions.get("assembly").function('../../storage/audio/IMG_2978.wav');
    //    let summary = await mapFunctions.get("summarize-transcription").function({jsonPath:'/Users/santa/Proj25/video2document/storage/transcripts/IMG_2978.json'});
   //    let snippets = await mapFunctions.get("extract-speaker-snippets").function({audioPath:'/Users/santa/Proj25/video2document/storage/audio/KittyKat.wav', jsonPath1: '/Users/santa/Proj25/video2document/storage/transcriptionSummaries/KittyKat-1765806474958.json' });
        // 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"})
@@ -0,0 +1,26 @@
 Du bist ein erfahrener Moderator und Projektmanager.
 AUFGABE:
 Erstelle eine sinnvolle Meeting-Agenda basierend auf dem folgenden Transkript.
 ANFORDERUNGEN:
 - Rekonstruiere die tatsächlichen Themenblöcke
 - Ordne sie logisch und chronologisch
 - Fasse ähnliche Diskussionen zusammen
 - Keine irrelevanten Details aufnehmen
 STRUKTUR:
 - Titel der Agenda
 - Ziel des Meetings (1–2 Sätze)
 - Agenda-Punkte (nummeriert)
  - Thema
  - Kurzbeschreibung
  - Ziel des Punktes (Information, Entscheidung, Diskussion)
 STIL:
 - Klar, kompakt
 - Business-orientiert
 - Keine Sprecher- oder Zeitangaben
 - Namen aus dem Transkript speakerA, speakerB etc. sollen weiterhin bestehen bleiben wie sie sind und nicht im Dokument ersetzt werden 
 TRANSKRIPT:
@@ -0,0 +1,22 @@
 Du bist ein intelligenter Dokumenten-Generator.
 AUFGABE:
 Erstelle ein individuelles Dokument basierend auf:
 1) dem Meeting-Transkript
 2) der zusätzlichen Nutzeranweisung
 WICHTIG:
 - Priorisiere die Nutzeranweisung
 - Nutze das Transkript als Wissensquelle
 - Struktur, Tonalität und Detailgrad anpassen
 - Inhalte logisch zusammenführen
 - Namen aus dem Transkript speakerA, speakerB etc. sollen weiterhin bestehen bleiben wie sie sind und nicht im Dokument ersetzt werden 
 FORMAT:
 - Passe Struktur und Stil an den Nutzerwunsch an
 - Klare Überschriften
 - Keine Sprecher- oder Zeitangaben
 TRANSKRIPT & NUTZERANWEISUNG:
@@ -0,0 +1,45 @@
 Du bist ein professioneller Meeting-Analyst und Business Writer.
 AUFGABE:
 Erstelle einen strukturierten Follow-up Report basierend auf dem folgenden Meeting-Transkript.
 ANFORDERUNGEN:
 - Fasse Inhalte sinngemäß zusammen
 - Entferne Redundanzen und Smalltalk
 - Formuliere klar, präzise und professionell
 - Verwende neutrale Business-Sprache
 - Keine Zeitstempel oder Sprecher-Namen zitieren
 - Leite Entscheidungen und Aufgaben logisch ab, wenn sie implizit sind
 - Markiere offene Punkte klar
 - Namen aus dem Transkript speakerA, speakerB etc. sollen weiterhin bestehen bleiben wie sie sind und nicht im Dokument ersetzt werden
 STRUKTUR DES DOKUMENTS:
 1. Titel & Metadaten
   - Meetingtitel (ableiten)
   - Datum (falls im Transkript erwähnt, sonst „nicht angegeben“)
   - Teilnehmer (zusammengefasst)
 2. Executive Summary (max. 5 Bullet Points)
 3. Besprochene Themen
   - Thema
   - Kernaussagen
   - Relevante Erkenntnisse
 4. Entscheidungen
   - Entscheidung
   - Kontext / Begründung
 5. Action Items
   - Aufgabe
   - Verantwortlich (falls ableitbar)
   - Ziel / Zweck
 6. Offene Fragen & Risiken
 STIL:
 - Überschriften klar strukturiert
 - Bullet Points bevorzugen
 - Präzise, keine Umgangssprache
 TRANSKRIPT:
@@ -0,0 +1,27 @@
 Du bist ein professioneller Protokollführer.
 AUFGABE:
 Erstelle ein Ergebnisprotokoll basierend auf dem Meeting-Transkript.
 FOKUS:
 - Ergebnisse statt Diskussionen
 - Entscheidungen, Beschlüsse, Vereinbarungen
 - Klare, überprüfbare Aussagen
 STRUKTUR:
 1. Meeting-Informationen
 2. Ergebnisse je Thema
   - Thema
   - Ergebnis / Beschluss
 3. Entscheidungen
 4. Aufgaben & Verantwortlichkeiten
 5. Offene Punkte
 REGELN:
 - Keine Meinungen oder Spekulationen
 - Keine Zeit- oder Sprecherangaben
 - Sachlich, formal
 - Namen aus dem Transkript speakerA, speakerB etc. sollen weiterhin bestehen bleiben wie sie sind und nicht im Dokument ersetzt werden 
 TRANSKRIPT:
@@ -0,0 +1,35 @@
 Du bist ein erfahrener Scrum Master.
 AUFGABE:
 Erstelle Sprint Planning Notes aus dem folgenden Meeting-Transkript.
 FOKUS:
 - Sprint-Ziele
 - User Stories / Tasks
 - Abhängigkeiten
 - Risiken
 - Commitments
 STRUKTUR:
 1. Sprint Overview
   - Sprint-Ziel
   - Zeitraum (falls erwähnt)
 2. Geplante Arbeit
   - User Story / Task
   - Beschreibung
   - Akzeptanzkriterien (falls ableitbar)
 3. Abhängigkeiten & Blocker
 4. Risiken & Annahmen
 5. Vereinbarungen / Team-Commitments
 STIL:
 - Agile-konform
 - Klar & umsetzungsorientiert
 - Bullet Points bevorzugen
 - Namen aus dem Transkript speakerA, speakerB etc. sollen weiterhin bestehen bleiben wie sie sind und nicht im Dokument ersetzt werden 
 TRANSKRIPT:
@@ -0,0 +1,18 @@
 require('dotenv').config();
 const path = require('path');
 const assemblyModule = require('../../services/modules/transcription-remote/assembly.js');
 // Audio-Datei oder URL aus Kommandozeile, Standard: test.wav
 const audioPath = process.argv[2] || './storage/audio/IMG_2978.wav';
 (async () => {
  try {
    const transcript = await assemblyModule.run(audioPath);
    console.log('Transcription succesful');
    console.log('Transcript ID:', transcript?.id);
    console.log('Speaker labels:', transcript?.utterances?.length || 0);
  } catch (error) {
    console.error('Error in Transcription:', error?.message || error);
  }
 })();
@@ -0,0 +1,12 @@
 const fs = require('fs');
 const transSummarizer = require("../../services/modules/jsonTools/transcriptionSummarizer.js");
 // JSON-Datei laden
 const inputJson = JSON.parse(fs.readFileSync("./testFile.json", "utf8"));
 // Übergabe an den Summarizer
 transSummarizer.function({
    json: inputJson
 });
@@ -1,8 +0,0 @@
 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
@@ -0,0 +1,243 @@
 // DO NOT TOUCH THIS
 require("../../requires.js")
 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);
    }
 });
 // You can touch beyond this point
 let audiopath
 let transcriptPath
 let summarizePath
 let llmpath
 let speakers
 describe("Unit Tests", function() {
    describe('Audio Extraction', function () {
        this.slow(1000)
        this.timeout(3000)
        it('Extract .mp4 to .mp3', function (done) {
            mapFunctions.get("extraction-video-to-audio").function({inputVideoPath: __dirname.replaceAll("\\","/")+"/testvideo.mp4", outputType: "mp3"}).then(resp => {
                audiopath = resp
                // console.log(resp);
                done()
            }).catch(err => {
                done(err);
            })
        })
        it('Extract .mp4 to .flac', function (done) {
            mapFunctions.get("extraction-video-to-audio").function({inputVideoPath: __dirname.replaceAll("\\","/")+"/testvideo.mp4", outputType: "flac"}).then(resp => {
                // console.log(resp);
                done()
            }).catch(err => {
                done(err);
            })
        })
        it('Extracting to a nonexistant format', function (done) {
            mapFunctions.get("extraction-video-to-audio").function({inputVideoPath: __dirname.replaceAll("\\","/")+"/testvideo.mp4", outputType: "qqq"}).then(resp => {
                // console.log(resp);
                done("Didnt crash")
            }).catch(err => {
                done()
            })
        })
        it('Extracting from nonexistant file', function (done) {
            mapFunctions.get("extraction-video-to-audio").function({inputVideoPath: "a", outputType: "mp3"}).then(resp => {
                // console.log(resp);
                done("Didnt crash")
            }).catch(err => {
                done()
            })
        })
        it('Extracting from nonexistant file to nonexistant format', function (done) {
            mapFunctions.get("extraction-video-to-audio").function({inputVideoPath: "a", outputType: "qqq"}).then(resp => {
                // console.log(resp);
                done("Didnt crash")
            }).catch(err => {
                done()
            })
        })
    });
    describe("Audio Transcription", function() {
        this.slow(20000)
        this.timeout(120000)
        it('Assembly', function (done) {
            mapFunctions.get("assembly").function(audiopath).then(resp => {
                // console.log(resp);
                transcriptPath = resp
                done()
            }).catch(err => {
                done(err)
            })
        })
        it('Assembly Wrong file', function (done) {
            mapFunctions.get("assembly").function("a").then(resp => {
                // console.log(resp);
                // transcriptPath = resp
                done("Didnt crash")
            }).catch(err => {
                // console.log(err);
                done()
            })
        })
        // TODO add more Transcription Tool tests here
    })
    describe("Transcript Summarizer", function() {
        this.slow(100)
        this.timeout(1000)
        it("Summarizer 1", function (done){
            mapFunctions.get("summarize-transcription").function(transcriptPath).then(resp => {
                done()
            }).catch(err => {
                done(err)
            })
        })
        it("Summarizer 1 Wrong File", function (done){
            mapFunctions.get("summarize-transcription").function("a").then(resp => {
                done("Didnt crash")
            }).catch(err => {
                done()
            })
        })
        it("Summarizer 2 (Main)", function (done){
            mapFunctions.get("summarize-transcription2").function(transcriptPath).then(resp => {
                summarizePath = resp
                done()
            }).catch(err => {
                done(err)
            })
        })
        it("Summarizer 2 (Main) Wrong File", function (done){
            mapFunctions.get("summarize-transcription2").function("a").then(resp => {
                done("Didnt crash")
            }).catch(err => {
                done()
            })
        })
    })
    describe("Large Language Model", function() {
        this.slow(30000)
        this.timeout(120000)
        it("ChatGPT", function (done){
            mapFunctions.get("llm-saia_openai_gpt").function({inputTranscriptPath: summarizePath, documentTypePath: "./storage/documentType/followup_report.txt", language: "en"}).then(resp => {
                llmpath = resp
                done()
            }).catch(err => {
                done(err)
            })
        })
        it("Gemini", function (done){
            mapFunctions.get("llm-gemini").function({inputTranscriptPath: summarizePath, documentTypePath: "./storage/documentType/followup_report.txt", language: "en"}).then(resp => {
                done()
            }).catch(err => {
                if(err.includes("(503)")){done()} // Error 503 is gemini overload, so an Error that they can at any time throw at us which would crash the pipeline, so we just ignore it and we just imagine that the test passed
                else{
                    console.log(err);
                    done(err)
                }
            })
        })
        it("Qwen3", function (done){
            mapFunctions.get("qwen3-235b-a22b").function({inputTranscriptPath: summarizePath, documentTypePath: "./storage/documentType/followup_report.txt", language: "en"}).then(resp => {
                done()
            }).catch(err => {
                done(err)
            })
        })
        it("ChatGPT (Nonexistant Type File)", function (done){
            mapFunctions.get("llm-saia_openai_gpt").function({inputTranscriptPath: summarizePath, documentTypePath: "a", language: "en"}).then(resp => {
                done("Didnt crash")
            }).catch(err => {
                done()
            })
        })
        it("Gemini (Nonexistant Type File)", function (done){
            mapFunctions.get("llm-gemini").function({inputTranscriptPath: summarizePath, documentTypePath: "a", language: "en"}).then(resp => {
                done("Didnt crash")
            }).catch(err => {
                done()
            })
        })
        it("Qwen3 (Nonexistant Type File)", function (done){
            mapFunctions.get("qwen3-235b-a22b").function({inputTranscriptPath: summarizePath, documentTypePath: "a", language: "en"}).then(resp => {
                done("Didnt crash")
            }).catch(err => {
                done()
            })
        })
    })
    describe("Audio Snippet", function() {
        this.slow(1000)
        this.timeout(5000)
        // transcriptPath = "A:\\programing\\@projects\\video2document\\storage\\transcriptionSummaries\\testvideo-1765900665001.json"
        // audiopath = "A:\\programing\\@projects\\video2document\\storage\\audio\\testvideo.mp3"
        it("Audio Snipper Generator", function (done){
            mapFunctions.get("extract-speaker-snippets").function({audioPath: audiopath, jsonPath: summarizePath }).then(resp => {
                speakers = resp
                done()
            }).catch(err => {
                done(err)
            })
        })
        it("Audio Snipper Generator (Nonexistant Transcript File)", function (done){
            mapFunctions.get("extract-speaker-snippets").function({audioPath: audiopath, jsonPath: "a" }).then(resp => {
                speakers = resp
                done("Didnt crash")
            }).catch(err => {
                done()
            })
        })
        it("Audio Snipper Generator (Nonexistant Audio File)", function (done){
            mapFunctions.get("extract-speaker-snippets").function({audioPath: "a", jsonPath: summarizePath }).then(resp => {
                speakers = resp
                done("Didnt crash")
            }).catch(err => {
                done()
            })
        })
    })
    after(function() {
        console.log(`\n\n\n${audiopath} \n${transcriptPath} \n${summarizePath} \n${llmpath}`);
    })
 })
Author	SHA1	Message	Date
emily	562debd883	added test for qwen3 model and added a console log for debugging purposes to the gemini test because that shit model keeps being dogshit and throwing errors about being overloaded because the dogshit company called google cant fucking manage to set up a model that doesnt shit itself the moment more than 3 people send a query at the same time, god i fucking hate google and LLMs, it is truly an insult that we have to write this dogshit software	2025-12-16 18:27:43 +01:00
emily	8927b62971	some more cleanup	2025-12-16 18:17:55 +01:00
emily	b511b75db7	did some cli output cleanup, and fixed the test pipeline aswell as added a few tests	2025-12-16 18:15:40 +01:00
Minning, Eric	9b88f4719f	Merge branch 'feature/ui-test' into 'develop' Value missmatch fix See merge request proj-wise2526-video2document/video2document!64	2025-12-16 17:35:17 +01:00
eric.minning	e4770f484a	Merge branch 'feature/ui-test' of https://gitlab.rlp.net/proj-wise2526-video2document/video2document into feature/ui-test	2025-12-16 17:25:54 +01:00
eric.minning	69deae9951	Fixed a value missmatch	2025-12-16 17:25:43 +01:00
Verena Schulz	6775509cf3	Merge branch 'feature/ui-test' of gitlab.rlp.net:proj-wise2526-video2document/video2document into feature/ui-test	2025-12-16 17:21:05 +01:00
Verena Schulz	3c3b27325e	Centered download button	2025-12-16 17:20:55 +01:00
Hughes, Mike	0731f045ce	Merge branch 'fix/rename_document_type' into 'develop' corrected report naming again See merge request proj-wise2526-video2document/video2document!63	2025-12-16 17:11:05 +01:00
MikeHughes-BIN	b89e5ec587	corrected report naming again	2025-12-16 17:03:47 +01:00
Minning, Eric	598a8e5d34	Merge branch 'fix/rename_document_type' into 'develop' Add requirement to retain speaker names in document templates and remove sprint planning notes See merge request proj-wise2526-video2document/video2document!62	2025-12-16 17:00:45 +01:00
Minning, Eric	8f62b68184	Merge branch 'feature/ui-test' into 'develop' One closing curly too much removed See merge request proj-wise2526-video2document/video2document!61	2025-12-16 16:59:59 +01:00
MikeHughes-BIN	fc041e1036	Add requirement to retain speaker names in document templates and remove sprint planning notes	2025-12-16 16:57:45 +01:00
MikeHughes-BIN	37382f7444	One closing curly too much removed	2025-12-16 16:49:46 +01:00
Hughes, Mike	b05537fa70	Merge branch 'feature/ui-test' into 'develop' Feature/ui test See merge request proj-wise2526-video2document/video2document!59	2025-12-16 16:44:50 +01:00
Hughes, Mike	8e563187b0	Merge branch 'develop' into 'feature/ui-test' # Conflicts: # main.js	2025-12-16 16:39:59 +01:00
MikeHughes-BIN	95ac7256d4	Fixed the Download button in main	2025-12-16 16:26:45 +01:00
Spanier, Pit	d47cf21e9f	Merge branch 'feature/38-sprecher-audio-snippets-s4-11' into 'develop' extract speaker snippets mit main verknüpft. See merge request proj-wise2526-video2document/video2document!60	2025-12-16 16:19:09 +01:00
Spanier, Pit	6cff6b9981	Merge branch 'develop' into 'feature/38-sprecher-audio-snippets-s4-11' # Conflicts: # main.js	2025-12-16 16:18:17 +01:00
Hughes, Mike	11f9a02778	Merge branch 'develop' into 'feature/ui-test' # Conflicts: # main.js	2025-12-16 15:54:00 +01:00
eric.minning	41cd8065ba	Merge branch 'feature/ui-test' of https://gitlab.rlp.net/proj-wise2526-video2document/video2document into feature/ui-test	2025-12-16 15:51:18 +01:00
eric.minning	c1e79b6603	Checkbox change from array to single value and value fix in html.	2025-12-16 15:50:28 +01:00
santa	0003d99041	extract speaker snippets mit main verknüpft.	2025-12-16 15:32:31 +01:00
Hughes, Mike	6a94f88e86	Merge branch 'feature/meeting_document_types' into 'develop' Added Meeting Document Forms See merge request proj-wise2526-video2document/video2document!55	2025-12-16 14:43:54 +01:00
MikeHughes-BIN	30f73f7bb7	Added Meeting Document Forms	2025-12-16 14:24:13 +01:00
Verena Schulz	59ac104d69	Hamburger components are clickable	2025-12-16 14:00:29 +01:00
Hughes, Mike	74439d680e	Merge branch 'fix/download-button' into 'develop' oopsies missed a </div> See merge request proj-wise2526-video2document/video2document!53	2025-12-15 18:49:19 +01:00
MikeHughes-BIN	1b76b2e96d	oopsies missed a </div>	2025-12-15 18:47:41 +01:00
Hughes, Mike	363ba2d1b5	Merge branch 'fix/download-button' into 'develop' Enable download button functionality and improve error handling in file download See merge request proj-wise2526-video2document/video2document!52	2025-12-15 18:43:50 +01:00
MikeHughes-BIN	6aa62ed534	Enable download button functionality and improve error handling in file download	2025-12-15 18:41:14 +01:00
Hughes, Mike	cd474d7101	Merge branch 'feature/ui-test' into 'develop' Removed a line which caused an error See merge request proj-wise2526-video2document/video2document!51	2025-12-15 18:11:01 +01:00
eric.minning	bd47a194c7	Removed a line which caused an error	2025-12-15 18:09:50 +01:00
Spanier, Pit	ef080063a8	Merge branch 'feature/export-function-integration' into 'develop' Changes to the LLMs to return a Promise (outp path) and main now calls the export process See merge request proj-wise2526-video2document/video2document!50	2025-12-15 18:05:20 +01:00
Hughes, Mike	c2c1aa1b17	Merge branch 'fix/gui-width' into 'develop' Increased window witdth from 800px to 1200px See merge request proj-wise2526-video2document/video2document!47	2025-12-15 17:59:12 +01:00
Hughes, Mike	ee3bcdcd05	Merge branch 'feature/ui-test' into 'develop' Implemented the function for the download button. See merge request proj-wise2526-video2document/video2document!49	2025-12-15 17:58:33 +01:00
MikeHughes-BIN	04b2457ca3	Changes to the LLMs to return a Promise (outp path) and main now calls the export process	2025-12-15 17:58:03 +01:00
eric.minning	bac6e2b7f0	Implemented the function for the download button.	2025-12-15 17:21:02 +01:00
Spanier, Pit	9760704883	Merge branch 'feature/ui-test' into 'develop' Feature/ui test See merge request proj-wise2526-video2document/video2document!48	2025-12-15 17:09:06 +01:00
eric.minning	aee1428cb6	Changed location of the output type value in the response package	2025-12-15 17:07:07 +01:00
eric.minning	7494e13c8c	Fixed an a wrong call of the speakerAudios function.	2025-12-15 17:01:04 +01:00
MikeHughes-BIN	2998799826	Window width for the GUI to fit the Arrows	2025-12-15 16:42:44 +01:00
Hughes, Mike	6146e7091b	Merge branch 'feature/ui-test' into 'develop' Added to Step 2 and 3. Added a first new version of the progressbar +... See merge request proj-wise2526-video2document/video2document!46	2025-12-15 16:26:10 +01:00
Hughes, Mike	3a5540d865	Merge branch 'fix/use-new-meeting-report' into 'develop' the old report type was still used See merge request proj-wise2526-video2document/video2document!45	2025-12-15 16:10:37 +01:00
MikeHughes-BIN	948ddb4310	the old report type was still used	2025-12-15 16:06:18 +01:00
Hughes, Mike	889d455fbe	Merge branch 'fix/add_puppeteer' into 'develop' The requirements needed to include puppeteer and html-to-docs See merge request proj-wise2526-video2document/video2document!44	2025-12-15 15:46:42 +01:00
MikeHughes-BIN	58741f0057	The requirements needed to include puppeteer and html-to-docs	2025-12-15 15:43:03 +01:00
eric.minning	950cc17878	Merge branch 'feature/ui-test' of https://gitlab.rlp.net/proj-wise2526-video2document/video2document into feature/ui-test	2025-12-15 15:22:08 +01:00
eric.minning	aba8552d11	Fixes to the loading of the speaker options	2025-12-15 15:19:47 +01:00
Verena Schulz	500e62daf0	Merge branch 'feature/ui-test' of gitlab.rlp.net:proj-wise2526-video2document/video2document into feature/ui-test	2025-12-15 15:05:18 +01:00
Verena Schulz	ad6d20b134	Added download button (without function)	2025-12-15 15:04:05 +01:00
Hughes, Mike	a8c284edd2	Merge branch 'feature/30-backend-export-funktion-des-dokuments-in-verschiedene-datei-formate-s4-05' into 'develop' Feature/30 backend export funktion des dokuments in verschiedene datei formate s4 05 See merge request proj-wise2526-video2document/video2document!43	2025-12-15 15:03:36 +01:00
eric.minning	6e0ea41ea6	Implemented a first version for all functions for step5 speaker (untested)	2025-12-15 14:49:43 +01:00
MikeHughes-BIN	3a5808d97c	Merge branch 'develop' into feature/30-backend-export-funktion-des-dokuments-in-verschiedene-datei-formate-s4-05	2025-12-15 14:41:28 +01:00
Hughes, Mike	4083d5a5cb	Merge branch 'feature/35-backend-llm-chat-gpt-integration-s4-10' into 'develop' Feature/35 backend llm chat gpt integration s4 10 See merge request proj-wise2526-video2document/video2document!42	2025-12-15 14:33:31 +01:00
MikeHughes-BIN	d655925031	merge conflict resolve	2025-12-15 14:30:14 +01:00
MikeHughes-BIN	405a32098c	Remove success and error icons from console log messages for consistency	2025-12-15 14:15:40 +01:00
Hughes, Mike	1683502aa1	Merge branch 'develop' into 'feature/35-backend-llm-chat-gpt-integration-s4-10' # Conflicts: # services/modules/llm-gemini/gemini.js	2025-12-15 14:07:32 +01:00
MikeHughes-BIN	789ecd3a31	Update document processing to use prompts from styles and add structured meeting report template	2025-12-15 14:01:51 +01:00
MikeHughes-BIN	e72d03efbe	Added Pre's Document in the correct Folder	2025-12-15 13:55:40 +01:00
eric.minning	d95b6d5178	Merge branch 'feature/ui-test' of https://gitlab.rlp.net/proj-wise2526-video2document/video2document into feature/ui-test	2025-12-15 13:54:40 +01:00
eric.minning	20b4ae6a3b	Checkbox fix, old progressbar removal and visibility fix in the new one	2025-12-15 13:54:31 +01:00
MikeHughes-BIN	ec57411992	Refactor document generation to output HTML format and update system instructions for clarity	2025-12-15 13:53:14 +01:00
Verena Schulz	accb65252c	Improved stability	2025-12-15 13:48:27 +01:00
MikeHughes-BIN	271fe78b7b	Changed the module to use puppeteer and html-to-docx	2025-12-14 18:14:16 +01:00
MikeHughes-BIN	1e38cc79f4	Extended the Role description	2025-12-14 16:53:35 +01:00
MikeHughes-BIN	746fec05d4	Changed model from llama to quen3 because llama was timing out due to token limit	2025-12-14 16:28:48 +01:00
Spanier, Pit	d647f53790	Merge branch 'feature/implementation-of-ci-s4-09' into 'develop' fixed the pipeline See merge request proj-wise2526-video2document/video2document!38	2025-12-14 16:13:28 +01:00
emily	791dbab739	edited the timeouts for the transcription and LLM tests	2025-12-13 23:04:31 +01:00
emily	c497fa9532	fixed a mistake i made in the pipeline	2025-12-13 23:02:29 +01:00
Verena Schulz	bb589e6aad	New Checkboxes	2025-12-13 21:21:17 +01:00
emily	3ce632bf8d	Optimised the pipeline Replaced the test video with a lower size version in an attempt at keeping this shitty gitlab.rlp provided action running from crashing constantly	2025-12-13 18:46:02 +01:00
Hughes, Mike	5ea8ec6a1a	Merge branch 'feature/implementation-of-ci-s4-09' into 'develop' implemented first CI pipeline version with a test test that only checks if 1... See merge request proj-wise2526-video2document/video2document!34	2025-12-13 14:13:06 +01:00
eric.minning	4747c44c52	Merge remote-tracking branch 'origin/develop' into feature/ui-test	2025-12-11 16:23:00 +01:00
eric.minning	a0abedc921	Removed a error in the speakerAudioViewer	2025-12-11 16:04:16 +01:00
MikeHughes-BIN	7cd334645f	Added a module that safes the file in a requested format.	2025-12-11 14:22:04 +01:00
Spanier, Pit	15e2e35bda	Merge branch 'feature/35-backend-llm-chat-gpt-integration-s4-10' into 'develop' Feature/35 backend llm chat gpt integration s4 10 See merge request proj-wise2526-video2document/video2document!35	2025-12-11 13:30:14 +01:00
MikeHughes-BIN	53508b175a	changed Display name	2025-12-11 13:27:00 +01:00
MikeHughes-BIN	3dd8485140	audit	2025-12-11 13:23:22 +01:00
MikeHughes-BIN	68c1f0ed9f	removed google from requires	2025-12-11 13:20:54 +01:00
MikeHughes-BIN	2b597add6c	fixed a unicode bug	2025-12-11 13:03:04 +01:00
MikeHughes-BIN	3af038d195	Multiple AI models implemented - chatgpt, llama	2025-12-11 12:41:11 +01:00
MikeHughes-BIN	b546c96238	Refactor code structure for improved readability and maintainability	2025-12-11 12:08:07 +01:00
emily	6512b50d83	removal of an unneeded file	2025-12-10 22:46:25 +01:00
Verena Schulz	b26ef96cfc	Prototype hamburger menu for language and help buttons	2025-12-10 16:59:14 +01:00
emily	faee605f12	Initial version of the working CI pipeline Added mocha based unit tests for each module Did a bit of cleanup in the modules to remove debug console.log calls Removed the Progress bar in the extractor and the library requirement Promisified the gemini module to make sure it returns the path as a promise instead of just on the cli Fixed gitignore so that it now only ignores the content int the storage directories, and not the whole directories Added neetingReport.json for the LLMs to use	2025-12-09 22:07:43 +01:00
emily	037d29e656	added gitkeep to the storage folders, and edited the gitignore to be more precise for our use case	2025-12-09 20:53:16 +01:00
emily	8c201db539	implemented first CI pipeline version with a test test that only checks if 1 is 1, needs implementation of actual tests	2025-12-09 17:56:59 +01:00
eric.minning	6eef82bb64	Implemented the color change of the progressbar	2025-12-09 17:03:02 +01:00
eric.minning	b182e0a3c7	fixed the submitbutton	2025-12-09 15:23:49 +01:00
eric.minning	34a8b186a8	removed an event listener which was doubeld and a submitbutton call	2025-12-09 15:12:32 +01:00
eric.minning	70d3bfa201	fixed error in file lookup	2025-12-09 15:01:16 +01:00
eric.minning	5661f7c13f	speaker fix	2025-12-09 14:50:19 +01:00
eric.minning	208879b497	Merge remote-tracking branch 'origin/develop' into feature/ui-test	2025-12-09 14:40:44 +01:00
eric.minning	f817d4c29e	Changed checkboxvalues and added more error catching	2025-12-09 14:38:26 +01:00
Spanier, Pit	882b49a489	Merge branch 'feature/audio-format-on-transcription-tool-selection-s4-08' into 'develop' removed the need to send the transcription module defined audio output format... See merge request proj-wise2526-video2document/video2document!33	2025-12-09 14:31:25 +01:00
eric.minning	5e6b700c36	Merge remote-tracking branch 'origin/develop' into feature/ui-test	2025-12-09 14:21:14 +01:00
Spanier, Pit	25d11d74a3	Merge branch 'fix/main-path-to-document-for-ai' into 'develop' Currently we only have the standard meeting document and the config right now... See merge request proj-wise2526-video2document/video2document!32	2025-12-09 14:12:14 +01:00
Verena Schulz	0efb7585ba	Fixed height of middle container and several other css bugs	2025-12-07 16:09:12 +01:00
MikeHughes-BIN	0d3535128d	Currently we only have the standard meeting document and the config right now prevents the programm from running. Can be adapted later	2025-12-06 16:43:32 +01:00
emily	e661aefbe8	added json to send to frontend for the speaker naming functionality	2025-12-05 17:09:45 +01:00
eric.minning	59b820d917	Added to Step 2 and 3. Added a first new version of the progressbar + functions in Step 4. Implemented the basics and functions for Step 5	2025-12-05 17:02:20 +01:00
emily	ed94928953	removed the need to send the transcription module defined audio output format to the frontend, and handle it on the backend instead	2025-12-05 16:45:39 +01:00
emily	8adf470f18	removed a debug console output	2025-12-05 15:58:45 +01:00
emily	f858f2edbb	added functionality for transcription tool to tell the frontend what audio format to use	2025-12-05 15:58:17 +01:00
MikeHughes-BIN	425e24853e	Similar to the Gemini LLM we now have a ChatGPT REST call. The API Key is still missing	2025-12-04 10:58:50 +01:00
Verena Schulz	1c5d399c58	Added 5th and 6th step, headline above steps	2025-12-03 17:55:55 +01:00
Verena Schulz	33093733ef	Added arrows for navigating through steps	2025-12-02 17:13:36 +01:00
Verena Schulz	4f0d2bcc4a	Fixed mockup sequence	2025-11-27 18:57:17 +01:00
Spanier, Pit	05c04aaef2	Merge branch 'feature/gemini-ai' into 'develop' REST API & Auto Naming See merge request proj-wise2526-video2document/video2document!31	2025-11-26 21:57:51 +01:00
MikeHughes-BIN	84cc94aa34	REST API & Auto Naming	2025-11-26 21:55:19 +01:00
Verena Schulz	ef379a5b7b	First prototype of new mockup	2025-11-25 16:31:26 +01:00
Verena Schulz	0bbbb2f9b7	Fixed submit button bug and progessbar not showing when uploading video with button	2025-11-25 15:11:18 +01:00
Spanier, Pit	16f319f89f	Merge branch 'feature/implementing-everything' into 'develop' working on implementing everything See merge request proj-wise2526-video2document/video2document!27	2025-11-24 17:25:37 +01:00
santa	9ab98825a2	made it so that the transcript summary file name is not hardcoded anymore	2025-11-24 17:24:08 +01:00
emily	9a0a349813	Switched to transcription summarizer2 due to a better output format	2025-11-24 17:01:49 +01:00
emily	9dfc05e987	Fixed Transcription Summarizer, and now the whole pipeline works (except for LLM, because we need the keys for that)	2025-11-24 16:51:48 +01:00
santa	a5a60635fc	worked on fixing the code	2025-11-24 16:40:12 +01:00
emily	af13907fdc	added console outputs for debugging	2025-11-24 16:14:26 +01:00
emily	812bca8cfb	working on implementing everything Currently getting stuck on the assembly module as assembly ai for some fucking reason blocks me from making any requests This includes making a new user account	2025-11-24 15:35:32 +01:00
emily	34d644d7d7	Merge commit '2f5efee9c7f81cadc22f033f9ba20bb5cbc2d66e' into develop	2025-11-24 14:41:10 +01:00
Spanier, Pit	e73a2a8203	Merge branch 'feature/modular-ipc-system-implementation' into 'develop' Implemented first version of the json object that should be send back to the... See merge request proj-wise2526-video2document/video2document!26	2025-11-24 14:31:32 +01:00
santa	2f5efee9c7	Summarizer und weiters angepasst	2025-11-24 14:27:49 +01:00
santa	465fe8bd41	Summarizer angepasst	2025-11-24 14:25:29 +01:00
Hughes, Mike	0f689e2846	Merge branch 'feature/26-llm-schnittstelle-implementieren-s3-07' into 'develop' Feature/26 llm schnittstelle implementieren s3 07 See merge request proj-wise2526-video2document/video2document!24	2025-11-22 14:38:07 +01:00
santa	b87bfd444d	Test erstellt	2025-11-20 13:27:15 +01:00
santa	97b571b7f9	Einbindung des Summarizer	2025-11-20 11:51:34 +01:00
santa	455147a41b	Summarizer Tool erstellt zur zusammenfassung der vom TranskriptionTool kommenden json	2025-11-20 10:15:11 +01:00
santa	9441699561	if Pruefung fuer Datei Endung gefixt	2025-11-16 14:46:19 +01:00