feat(v0.2.4): blog generation UX overhaul — live progress bar
When you click Generate: - Dark overlay with orange progress bar shows pipeline status - Live step counter: 'Step 3/10: Outline Generation — decision-driven structure' - Percentage updates every 15 seconds via API polling - When done: shows word count + QA score, auto-opens the article - No more silent template dump — user sees the entire pipeline working
This commit is contained in:
Rene Fichtmueller
parent
4233118505
commit
278207078b
@ -67,7 +67,7 @@ app.get("/", (_req, res) => {
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app.get("/api", (_req, res) => {
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res.json({
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name: "Transceiver Intelligence Platform",
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version: "0.2.3",
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version: "0.2.4",
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endpoints: [
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"GET /api/transceivers?q=&form_factor=&speed=&category=&fiber_type=&wdm_type=&coherent=",
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"GET /api/transceivers/:id",
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@ -14,7 +14,7 @@ healthRouter.get("/", async (_req: Request, res: Response) => {
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res.json({
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success: true,
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status: "healthy",
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version: "0.2.3",
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version: "0.2.4",
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uptime: process.uptime(),
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database: {
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connected: true,
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@ -2287,7 +2287,16 @@ function copyBlogContent(id) {
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// BLOG
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function generateBlog(topic, speed) {
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el('blog-list').innerHTML = '<div class="loading pulse" id="blog-gen-status">Generating template... LLM 10-step pipeline starts in background (~10 min)</div>';
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// Show prominent progress overlay instead of just adding to list
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el('blog-list').innerHTML = '<div style="background:linear-gradient(135deg,#1a1a1a,#2a2a2a);color:white;padding:2rem;border-radius:12px;text-align:center">' +
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'<div style="font-size:1.5rem;font-weight:700;margin-bottom:1rem">🔄 Generating Blog with AI...</div>' +
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'<div id="blog-pipeline-status" style="font-size:1rem;color:#FF8100;margin-bottom:0.5rem">Starting 10-step Flexoptix Style pipeline...</div>' +
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'<div id="blog-pipeline-step" style="font-size:0.85rem;color:#888">Connecting to LLM (qwen2.5:14b on Mac Studio)</div>' +
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'<div style="margin-top:1.5rem;background:#333;border-radius:8px;height:8px;overflow:hidden">' +
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'<div id="blog-pipeline-bar" style="width:0%;height:100%;background:#FF8100;transition:width 0.5s ease"></div></div>' +
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'<div id="blog-pipeline-pct" style="font-size:0.8rem;color:#666;margin-top:0.5rem">0%</div>' +
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'</div>';
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var body = { topic: topic };
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if (speed) body.speed = speed;
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fetch(API + '/api/blog/generate', {
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@ -2296,29 +2305,73 @@ function generateBlog(topic, speed) {
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body: JSON.stringify(body)
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}).then(function(r) { return r.json(); }).then(function(data) {
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if (data.success) {
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var msg = data.draft.title + ' — ' + data.draft.word_count + ' words';
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if (data.draft.llm_enhancing) msg += ' (LLM enhancing in background...)';
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showToast('Draft generated', msg);
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if (data.draft.llm_enhancing) {
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pollBlogLlm(data.draft.id, 0);
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}
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} else showToast('Failed', data.error || 'Unknown error', true);
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loadBlogDrafts();
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}).catch(function(err) { showToast('Network error', err.message, true); });
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var statusEl = document.getElementById('blog-pipeline-status');
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if (statusEl) statusEl.textContent = 'Template created. LLM pipeline running...';
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var stepEl = document.getElementById('blog-pipeline-step');
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if (stepEl) stepEl.textContent = 'Step 1/10: Topic Expansion — analyzing real-world scenarios...';
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var barEl = document.getElementById('blog-pipeline-bar');
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if (barEl) barEl.style.width = '5%';
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pollBlogLlm(data.draft.id, 0);
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} else {
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showToast('Failed', data.error || 'Unknown error', true);
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loadBlogDrafts();
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}
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}).catch(function(err) { showToast('Network error', err.message, true); loadBlogDrafts(); });
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}
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var STEP_NAMES = [
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'Topic Expansion — analyzing real-world scenarios',
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'Angle Selection — picking the strongest angle',
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'Outline Generation — decision-driven structure',
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'Master Draft — writing 2500+ word article',
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'Reality Injection — adding production failures',
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'Technical Deepening — specific optics + numbers',
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'Opinion Layer — removing neutrality',
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'Kill AI Tone — making it sound human',
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'QA Check — fixing weak sections',
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'Quality Score — rating 1-10'
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];
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function pollBlogLlm(id, attempt) {
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if (attempt > 60) { showToast("Timeout", "LLM pipeline took too long. Check logs."); return; }
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if (attempt > 60) {
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showToast('Timeout', 'LLM pipeline took too long. Refresh to check.');
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loadBlogDrafts();
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return;
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}
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setTimeout(function() {
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api('/api/blog/' + id).then(function(data) {
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if (data.draft && data.draft.generated_by && data.draft.generated_by && data.draft.generated_by !== 'tip-blog-engine-template' && data.draft.generated_by !== null) {
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showToast('LLM Enhanced', data.draft.title + ' — ' + data.draft.word_count + ' words');
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loadBlogDrafts();
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var d = data.draft || data;
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var done = d.generated_by && d.generated_by !== 'tip-blog-engine-template' && d.generated_by !== null;
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var steps = d.pipeline_steps_completed || 0;
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if (done) {
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// Pipeline finished! Show the result
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var pct = document.getElementById('blog-pipeline-pct');
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var bar = document.getElementById('blog-pipeline-bar');
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var status = document.getElementById('blog-pipeline-status');
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if (bar) bar.style.width = '100%';
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if (pct) pct.textContent = '100%';
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if (status) {
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status.textContent = '✅ Blog generated! ' + (d.word_count || '?') + ' words, QA Score: ' + (d.auto_qa_score ? JSON.parse(typeof d.auto_qa_score === 'string' ? d.auto_qa_score : JSON.stringify(d.auto_qa_score)).overall || '?' : '?') + '/10';
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status.style.color = '#2d6a4f';
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}
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showToast('Blog Ready!', d.title + ' — ' + d.word_count + ' words (LLM-generated)');
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setTimeout(function() { loadBlogDrafts(); viewBlogDraft(id); }, 2000);
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} else {
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var steps = data.draft.pipeline_steps_completed || 0; showToast("LLM Step " + steps + "/10", "Pipeline running..."); pollBlogLlm(id, attempt + 1);
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// Still processing — update progress
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var pctVal = Math.min(95, steps * 10 + 5);
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var bar = document.getElementById('blog-pipeline-bar');
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var pct = document.getElementById('blog-pipeline-pct');
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var stepEl = document.getElementById('blog-pipeline-step');
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var status = document.getElementById('blog-pipeline-status');
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if (bar) bar.style.width = pctVal + '%';
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if (pct) pct.textContent = pctVal + '%';
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if (stepEl && steps > 0 && steps <= 10) stepEl.textContent = 'Step ' + steps + '/10: ' + (STEP_NAMES[steps-1] || 'Processing...');
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if (status) status.textContent = 'LLM Pipeline: Step ' + steps + '/10';
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pollBlogLlm(id, attempt + 1);
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}
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}).catch(function() {});
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}, 20000);
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}).catch(function() { pollBlogLlm(id, attempt + 1); });
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}, 15000);
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}
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el('gen-hype').addEventListener('click', function() { generateBlog('hype_cycle', '800G'); });
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