Merge branch 'develop' into feature/30-backend-export-funktion-des-dokuments-in-verschiedene-datei-formate-s4-05

.gitignore

@@ -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

.gitlab-ci.yml

@@ -1,33 +1,27 @@
-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:
+    - npm test
-    - main
-    - feature/ci-pipeline-s1-09a-1
-

main.js

@@ -185,7 +185,7 @@ electron.ipcMain.on("file_submit", async (event, args) => {
         for (let i = 0; i < args.document.styles.length; i++) {
             console.log(`\n\n Running the LLM for Document Style ${i+1}`);
 
-            await mapFunctions.get("module-handler").function(args.document.module, {inputTranscriptPath: transcriptpath, documentTypePath: "/Users/mikehughes/PROJ/video2document/storage/documentType/meetingReport.json", language: "en"}).then(resp => {
+            await mapFunctions.get("module-handler").function(args.document.module, {inputTranscriptPath: transcriptpath, documentTypePath: "./storage/documentType/meetingReport.json", language: "en"}).then(resp => {
                 console.log(resp);
                 transcriptpath = resp
                 curstep++

package.json

@@ -3,18 +3,12 @@
     "@google/genai": "^1.30.0",
     "@types/axios": "^0.9.36",
     "axios": "^1.13.2",
-    "cli-progress": "^3.12.0",
-    "docx": "^9.5.1",
     "dotenv": "^17.2.3",
     "electron": "^39.1.1",
     "express": "^5.1.0",
     "ffmpeg-static": "^5.2.0",
     "fluent-ffmpeg": "^2.1.3",
-    "html-to-docx": "^1.8.0",
+    "mocha": "^11.7.5"
-    "marked": "^17.0.1",
-    "open": "^11.0.0",
-    "pdfkit": "^0.17.2",
-    "puppeteer": "^24.33.0"
   },
   "devDependencies": {
     "@types/cli-progress": "^3.11.6",
@@ -33,7 +27,7 @@
   },
   "scripts": {
     "start": "electron main.js",
-    "test": "echo \"Error: no test specified\" && exit 1"
+    "test": "mocha ./test/unit/test.js"
   },
   "repository": {
     "type": "git",

requirements.txt

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

requires.js

@@ -11,12 +11,11 @@ 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")
 

scripts/show-models.js

@@ -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);
+    }
+})();

services/modules/extraction/ffmpegExtractor.js

@@ -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);
             }
         });
     }

services/modules/jsonTools/transcriptionSummarizer.js

@@ -21,30 +21,36 @@ module.exports = {
                     const raw = fs.readFileSync(args.jsonPath, "utf-8");
                     inputJson = JSON.parse(raw);
                 } catch (e) {
-                    console.error("Failed to load JSON from file:", e);
+                    // console.error("Failed to load JSON from file:", e);
-                    return { error: "Could not read JSON from file path." };
+                    reject(e)
+                    return
                 }
             }
             // JSON parsen
             if (typeof args === "string") {
                 try {
-                    await new Promise((res) => {
+                    await new Promise((res, rej) => {
                         fs.readFile(args, 'utf8', function (err, data) {
-                            if (err) throw err;
+                            if (err){
+                                rej(err)
+                                return
+                            }
                             inputJson = JSON.parse(data);
                             res()
                         });
                     })
                 } catch (e) {
-                    console.log("Invalid JSON in summarize-transcription");
+                    // console.log("Invalid JSON in summarize-transcription");
-                    console.log(e)
+                    // console.log(e)
-                    return { error: "Invalid JSON" };
+                    reject(e)
+                    return
                 }
             }
 
             const words = inputJson.words;
             if (!Array.isArray(words)) {
-                return { error: "No words Array found" };
+                    reject("No words Array found")
+                    return
             }
 
             const ENDINGS = [".", "!", "?"]; // '...' auch als Satzende ?
@@ -136,11 +142,11 @@ module.exports = {
                 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}`);
+                // console.log(`Summary successfully saved:\n- ${jsonPath}\n- ${txtPath}`);
 
                 resolve(jsonPath);
             } catch (err) {
-                console.error("Error saving Summary:", err);
+                // console.error("Error saving Summary:", err);
                 reject(err);
             }
         })

services/modules/jsonTools/transcriptionSummarizer2.js

@@ -32,29 +32,35 @@ module.exports = {
                     inputJson = JSON.parse(raw);
                 } catch (e) {
                     console.error("Failed to load JSON from file:", e);
-                    return { error: "Could not read JSON from file path." };
+                    reject("Could not read JSON from file path.")
+                    return
                 }
             }
             // JSON parsen
             if (typeof args === "string") {
                 try {
-                        await new Promise((res) => {
+                    await new Promise((res, rej) => {
                         fs.readFile(args, 'utf8', function (err, data) {
-                                if (err) throw err;
+                            if (err){
+                                rej(err)
+                                return
+                            }
                             inputJson = JSON.parse(data);
                             res()
                         });
                     })
                 } catch (e) {
-                        console.log("Invalid JSON in summarize-transcription");
+                    // console.log("Invalid JSON in summarize-transcription");
-                        console.log(e)
+                    // console.log(e)
-                        return { error: "Invalid JSON" };
+                    reject(e)
+                    return
                 }
             }
 
             const words = inputJson.words;
             if (!Array.isArray(words)) {
-                return { error: "No words Array found" };
+                reject("No words Array found")
+                return;
             }
 
             const ENDINGS = [".", "!", "?"]; // '...' auch als Satzende ?
@@ -132,10 +138,10 @@ module.exports = {
                 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}`);
+                // console.log(`Summary successfully saved:\n- ${jsonPath}\n- ${txtPath}`);
                 resolve(jsonPath);
             } catch (err) {
-                console.error("Error saving Summary:", err);
+                // console.error("Error saving Summary:", err);
                 reject(err);
             }
         })

services/modules/llm-chat_gpt/chatgpt.js

@@ -1,8 +1,131 @@
-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
+        try {
+            console.log("SAIA OpenAI GPT module invoked with parameters:", parameter);
+
+            await this.createDocumentFromTranscript( //Call the function to create document with transcript, document type and language
+                parameter.inputTranscriptPath, // Path to input transcript file
+                parameter.documentTypePath, // Path to document type file which is chosen in the front end by the user
+                parameter.language // Language for the document which is chosen in the front end by the user
+            );
+
+        } catch (error) {
+            console.error("Error in SAIA OpenAI GPT module:", error);
+        }
+    },
+
+    createDocumentFromTranscript: async function(transcriptPath, documentTypePath, language = "en") { // default language is English
+        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, {
+                method: "POST",
+                headers: {
+                    "Authorization": `Bearer ${SAIA_API_KEY}`,
+                    "Accept": "application/json",
+                    "Content-Type": "application/json"
+                },
+                body: JSON.stringify({
+                    model: "openai-gpt-oss-120b",
+                    messages: [
+                        { role: "system", content: "You are a helpful assistant that generates documents from transcripts." },
+                        { role: "user", content: promptText }
+                    ],
+                    temperature: 0
+                })
+            });
+
+            if (!response.ok) { //ok is true when a response was successful
+                const text = await response.text();
+                throw new Error(`SAIA API error (${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}.md`); // 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);
+
+        } catch (error) {
+            console.error("Error generating SAIA content:", 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.json 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!");
+    })();
+}

services/modules/llm-gemini/gemini.js

@@ -16,21 +16,26 @@ module.exports = {
     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"); //read transcript file from Path
                 const documentType = await fs.promises.readFile(documentTypePath, "utf-8"); //read document type from Path
@@ -63,14 +68,17 @@ module.exports = {
                 // 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);
+                // console.log(inputTranscriptName);
                 const outPath = path.join(outputDir, `${inputTranscriptName}.md`); // 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)
             }
+        })
     }
 };

services/modules/llm-llama/llm-llama.js

@@ -0,0 +1,123 @@
+const fs = require('fs');
+const path = require('path');
+
+const outputDir = path.join(__dirname, "../../../storage/documents");
+
+if (!fs.existsSync(outputDir)) {
+    fs.mkdirSync(outputDir, { recursive: true });
+}
+
+const SAIA_API_KEY = process.env.SAIA_API_KEY;
+const SAIA_URL = "https://chat-ai.academiccloud.de/v1/chat/completions";
+
+const module_exports = {
+    name: "llm-saia_llama_3.3",
+    type: "llm",
+    displayname: "LLAMA",
+    description: "Generates documents using Llama 3.3 70B Instruct via SAIA platform",
+
+    async function(parameter) {
+        try {
+            console.log("SAIA Llama 3.3 70B module invoked with parameters:", parameter);
+
+            await this.createDocumentFromTranscript(
+                parameter.inputTranscriptPath,
+                parameter.documentTypePath,
+                parameter.language
+            );
+
+        } catch (error) {
+            console.error("Error in SAIA Llama 3.3 70B module:", error);
+        }
+    },
+
+    createDocumentFromTranscript: async function(transcriptPath, documentTypePath, language = "en") {
+        try {
+            const transcript = await fs.promises.readFile(transcriptPath, "utf-8");
+            const documentType = await fs.promises.readFile(documentTypePath, "utf-8");
+            const promptText = `${documentType}, in language ${language}, transcript:\n\n${transcript}`;
+
+            // --- REST CALL ---
+            const response = await fetch(SAIA_URL, {
+                method: "POST",
+                headers: {
+                    "Authorization": `Bearer ${SAIA_API_KEY}`,
+                    "Accept": "application/json",
+                    "Content-Type": "application/json"
+                },
+                body: JSON.stringify({
+                    model: "llama-3.3-70b-instruct",  // Korrekter Modellname!
+                    messages: [
+                        { role: "system", content: "You are a helpful assistant that generates documents from transcripts." },
+                        { role: "user", content: promptText }
+                    ],
+                    temperature: 0
+                })
+            });
+
+            if (!response.ok) {
+                const text = await response.text();
+                throw new Error(`SAIA API error (${response.status}): ${text}`);
+            }
+
+            const data = await response.json();
+            const output = data.choices?.[0]?.message?.content || "";
+
+            let inputTranscriptName = path.basename(transcriptPath, path.extname(transcriptPath));
+            console.log(inputTranscriptName);
+
+            const outPath = path.join(outputDir, `${inputTranscriptName}.md`);
+            fs.writeFileSync(outPath, output, "utf8");
+
+            console.log("Generated document written to:", outPath);
+
+        } catch (error) {
+            console.error("Error generating SAIA content:", error);
+        }
+    }
+};
+
+module.exports = module_exports;
+
+if (require.main === module) {
+    (async () => {
+        const args = process.argv.slice(2);
+        
+        if (args.length < 2) {
+            console.error("Usage: node llm-llama-3.3.js <transcriptPath> <documentTypePath> [language]");
+            console.error("Example: node llm-llama-3.3.js ./transcript.json ./docType.json de");
+            process.exit(1);
+        }
+
+        const [transcriptPath, documentTypePath, language] = args;
+
+        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);
+        }
+
+        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!");
+    })();
+}

services/modules/transcription-remote/assembly.js

@@ -78,7 +78,7 @@ function saveTranscript(transcript, sessionId) {
   const outputPath = path.join(outputDir, `${sessionId}.json`);
   fs.writeFileSync(outputPath, JSON.stringify(transcript, null, 2));
 
-  console.log(`Transcript saved: ${outputPath}`);
+  // console.log(`Transcript saved: ${outputPath}`);
 
   return outputPath;
 }
@@ -116,8 +116,9 @@ module.exports = {
         resolve(saveTranscript(transcript, sessionId));
 
       } catch (error) {
-        console.error('Transcription error:', error.message);
+        // console.error('Transcription error:', error.message);
         reject(error);
+        return
       }
     })
   }

services/modules/utility/@startup.js

@@ -1,3 +1,4 @@
+
 module.exports = {
     name:"Startup_function",
     async function(){

storage/documentType/meetingReport.json

@@ -1,7 +1,6 @@
 {
-  "SPEAKERS":"First Identify each speaker in the transcript and give the first time snippet where they speak for the first time. Use labels like Speaker 1, Speaker 2, etc. If no speakers are identified, use 'Speaker X'.",
+  "FORMAT": "markdown",
-  "FORMAT": "HTML",
+  "GOAL":"Generate a structured meeting report (Markdown). **Output ONLY:** final .md. No meta.",
-  "GOAL":"Generate a structured meeting report (HTML). **Output ONLY:** final .html. No meta.",
   "STRUCTURE": {
     "titlepage": ["title","date","start","end","duration","location","host","participants"],
     "toc": "[section](#anchor) — HH:MM:SS",
@@ -16,21 +15,19 @@
     "consolidated": ["decisions", "actions"],
     "appendix": "optional"
   },
- 
   "STYLE": {
     "tone": "neutral, concise",
     "ts_format": "HH:MM:SS",
     "no_meta": true
   },
- 
   "PROCESS": {
     "timestamps": "use if present; else estimate minimal",
     "speakers": "use labels; else Speaker X",
     "long_transcripts": "chunk → summarize → merge",
-    "unclear": "UNKNOWN:<reason>"
+    "unclear": "UNKLAR:<reason>"
   },
 
   "JSON_OUTPUT_OPTIONAL": true,
 
-  "PROMPT_SNIPPET": "Generate meeting report in HTML using STRUCTURE and STYLE. Output only the report."
+  "PROMPT_SNIPPET": "Generate meeting report in markdown using STRUCTURE and STYLE. Output only the report."
 }

test/test_health.py

@@ -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

test/unit/test.js

@@ -0,0 +1,170 @@
+// 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
+
+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 => {
+                throw 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 => {
+                throw 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 => {
+                throw 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 => {
+                throw 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 => {
+                throw 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("chatgpt").function({inputTranscriptPath: summarizePath, documentTypePath: "./storage/documentType/meetingReport.json", language: "en"}).then(resp => {
+        //         done()
+        //     }).catch(err => {
+        //         throw err
+        //     })
+        // })
+
+        it("Gemini", function (done){
+            mapFunctions.get("llm-gemini").function({inputTranscriptPath: summarizePath, documentTypePath: "./storage/documentType/meetingReport.json", language: "en"}).then(resp => {
+                llmpath = resp
+                done()
+            }).catch(err => {
+                throw err
+            })
+        })
+    })
+    after(function() {
+        console.log(`\n\n\n${audiopath} \n${transcriptPath} \n${summarizePath} \n${llmpath}`);
+    })
+})
+
+