Refactor document generation to output HTML format and update system instructions for clarity

This commit is contained in:
MikeHughes-BIN
2025-12-15 13:53:14 +01:00
parent 1e38cc79f4
commit ec57411992
4 changed files with 93 additions and 33 deletions
+3 -3
View File
@@ -50,7 +50,7 @@ const module_exports = {
body: JSON.stringify({
model: "openai-gpt-oss-120b",
messages: [
{ role: "system", content: "You are a helpful assistant that generates documents from transcripts." },
{ 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
@@ -71,7 +71,7 @@ const module_exports = {
let inputTranscriptName = path.basename(transcriptPath, path.extname(transcriptPath)); // Name for the output file
console.log(inputTranscriptName);
const outPath = path.join(outputDir, `${inputTranscriptName}.md`); // Output file path & name to make naming dynamic. Pulled from input transcript name
const outPath = path.join(outputDir, `${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);
@@ -91,7 +91,7 @@ if (require.main === module) {
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");
console.error("Example: node llm-openai-gpt.js ./transcript.json ./docType.txt de");
process.exit(1);
}
+64 -11
View File
@@ -1,15 +1,17 @@
const outputDir = path.join(__dirname, "../../../storage/documents"); // path for output directory
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 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
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",
@@ -19,7 +21,7 @@ module.exports = {
try {
console.log("Gemini LLM module invoked with parameters:", parameter);
await this.createDocumentFromTranscript( //Call the function to create document with transcript, document type and language
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
@@ -32,12 +34,15 @@ module.exports = {
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
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
// Add system instruction for HTML output
const systemInstruction = "You are a helpful assistant that generates HTML documents from transcripts. Output only valid HTML content without any preamble, explanations, or markdown formatting.";
const promptText = `${systemInstruction}\n\n${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(`${GEMINI_URL}?key=${GEMINI_API_KEY}`, { //safe model response in variable
const response = await fetch(`${GEMINI_URL}?key=${GEMINI_API_KEY}`, { // safe model response in variable
method: "POST",
headers: {
"Content-Type": "application/json"
@@ -64,7 +69,7 @@ module.exports = {
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, `${inputTranscriptName}.md`); // Output file path & name to make naming dynamic. Pulled from input transcript name
const outPath = path.join(outputDir, `${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);
@@ -73,4 +78,52 @@ module.exports = {
console.error("Error generating Gemini 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-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!");
})();
}
+25 -18
View File
@@ -1,14 +1,15 @@
const fs = require('fs');
const path = require('path');
const outputDir = path.join(__dirname, "../../../storage/documents");
const outputDir = path.join(__dirname, "../../../storage/documents"); // path for output directory
if (!fs.existsSync(outputDir)) {
fs.mkdirSync(outputDir, { recursive: true });
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";
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",
@@ -20,10 +21,10 @@ const module_exports = {
try {
console.log("SAIA QWEN 3 235B module invoked with parameters:", parameter);
await this.createDocumentFromTranscript(
parameter.inputTranscriptPath,
parameter.documentTypePath,
parameter.language
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) {
@@ -31,11 +32,11 @@ const module_exports = {
}
},
createDocumentFromTranscript: async function(transcriptPath, documentTypePath, language = "en") {
createDocumentFromTranscript: async function(transcriptPath, documentTypePath, language = "en") { // default language is English
try {
const transcript = await fs.promises.readFile(transcriptPath, "utf-8");
const documentType = await fs.promises.readFile(documentTypePath, "utf-8");
const promptText = `${documentType}, in language ${language}, transcript:\n\n${transcript}`;
const 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, {
@@ -48,26 +49,29 @@ const module_exports = {
body: JSON.stringify({
model: "qwen3-235b-a22b",
messages: [
{ role: "system", content: "You are a helpful assistant that generates documents from transcripts. Do NOT include any <think>, reasoning, chain-of-thought, or internal analysis. Only output the final document content." },
{ 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) {
if (!response.ok) { // ok is true when a response was successful
const text = await response.text();
throw new Error(`SAIA API error (${response.status}): ${text}`);
}
const data = await response.json();
// Get generated text from response or default to empty string (if null)
// SAIA uses OpenAI-compatible structure: data.choices[x].message.content
const output = data.choices?.[0]?.message?.content || "";
let inputTranscriptName = path.basename(transcriptPath, path.extname(transcriptPath));
let inputTranscriptName = path.basename(transcriptPath, path.extname(transcriptPath)); // Name for the output file
console.log(inputTranscriptName);
const outPath = path.join(outputDir, `${inputTranscriptName}.md`);
fs.writeFileSync(outPath, output, "utf8");
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);
@@ -79,24 +83,27 @@ const module_exports = {
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 quen3.js <transcriptPath> <documentTypePath> [language]");
console.error("Example: node quen3.js ./transcript.json ./docType.json de");
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);