reorder_signals grew to 4.49M rows / 1.19GB — the compute job INSERTed a fresh
row per transceiver every 4h run but never deleted old ones (24h TTL filtered
them at read time via DISTINCT ON + expires_at, but they were never purged).
4.37M rows were already expired dead weight.
Fix: DELETE existing rows for a transceiver before inserting its new signal, so
the table holds exactly one (latest) row per transceiver. Cleaned up to 18,175
rows / 4.5MB (99.6% reclaimed, VACUUM FULL). Backup: reorder_signals_keep_bak_20260606.
Verified: re-running compute:reorder-signals keeps count stable at 18,175.
Root cause of the persistent sync:flexoptix-catalog HTTP 401: line 397 used
'?? null' which only coerces null/undefined. With FLEXOPTIX_API_TOKEN='' (empty
string set in .env), token stayed '' and line 485's 'token ?? getBearerToken()'
returned '' instead of performing the username/password login — sending an empty
'Bearer ' header that the products endpoint rejected with 401.
Fix: '|| null' coerces empty string to null so the bearer-login fallback fires.
Verified: sync now completes (username/password -> customer token -> products 200,
3 products/price/stock writes on limit=50). Credentials were correct all along.
The Research Robot panel showed only an LLM assessment (info, no action). Now:
API (research-robot.ts):
- GET enriches response with recommendations[] computed from live pgboss state:
classifies each persistently-failing job (auth/401, network, no-handler, other)
into severity + concrete advice + offered actions.
- POST /action {action,job}: dispatch (enqueue one run), pause (remove from
schedule with backup to research_robot_paused_schedules), resume (restore).
All validated against the pgboss.queue whitelist.
Dashboard:
- Renders each recommendation as a card with severity colour, cause, last error,
and action buttons (Jetzt auslösen / Pausieren / Fortsetzen / Token-Anleitung).
- Verified: sync:flexoptix-catalog -> critical auth (HTTP 401), offers
token-help + pause. Dispatch/pause/resume roundtrip tested green.
The 30d-vs-60d price momentum aggregated AVG/median across whatever SKUs
happened to be in a speed/form-factor bucket each period. New expensive SKUs
entering the catalog (NVIDIA switches at 30k USD, AOC cables) faked huge jumps
— 400G OSFP showed +151% when matched-SKU reality was 0%.
Now: compute per-transceiver median price in each period, keep only SKUs present
in BOTH periods (>=2 obs each), report the median of per-SKU pct deltas. Also
excludes non-transceiver form factors, AOC/DAC cables, switch SKUs, price>15k,
and anomalous observations. Result: 400G OSFP +151%->0%, signals 21->8, and the
ones that remain (NVIDIA MFA7U10 +84% same-SKU) are genuine price moves.
Adds parseWarehouseStock() to decode the HTML-entity-encoded warehouse_stock JSON
(us/nl/sg/cn per-region array). When the static page has warehouse data, writes:
warehouse_de_qty ← nl (EU-closest warehouse)
warehouse_global_qty ← sum(us+nl+sg+cn), or falls back to quantity_available
stock_confidence ← 3 (L3) when warehouse breakdown available, else 2
Note: per-warehouse quantities require JS execution to populate (API-loaded);
static HTML has [0,0] placeholders. The fallback ensures NADDOD global totals
appear in the competitor-by-tech dashboard comparison.
Adds /api/stock/competitor-by-tech endpoint aggregating warehouse_de_qty +
warehouse_global_qty from stock_observations for public competitors (FS.COM
etc.) per technology class. Dashboard velocity table gets two new columns
FS.COM DE + FS.COM Global with traffic-light coloring vs. monthly demand.
Clicking any signal card opens a modal with a 180-day SVG line chart
per source vendor (multi-line, colour-coded), x-axis dates, y-axis price,
current best price summary. Uses existing /api/price-history/:id endpoint.
No external chart library — pure inline SVG.
Group by part_number instead of transceiver_id (eliminates OEM duplicate rows).
Use PERCENTILE_CONT median instead of AVG to reduce single-outlier impact.
Add CV-filter (stddev/avg <= 0.35 over 2x window) to exclude high-variance
sources like Mouser quantity-tier pricing that produces artificial swings.
Blog LLM client probes BLOG_OLLAMA_URL (primary, WireGuard tunnel to Mac
Studio loopback Ollama) and falls back to BLOG_OLLAMA_URL_FALLBACK
(Cloudflare tunnel) when the primary transport is unreachable. Re-probed
at startup and every 60s; prefers primary when available. Both tunnels
terminate on the Mac loopback over independent transports, so the blog
keeps reaching fo-blog regardless of which transport drops.
Blog auto-discovery + generation now use BLOG_OLLAMA_URL (-> Mac Studio
192.168.178.213:11434 over the Erik<->home WireGuard tunnel), falling
back to OLLAMA_URL. Search/embeddings stay on Erik-local OLLAMA_URL
(nomic-embed-text). Fixes blog model not-found after OLLAMA_URL was
repointed to Erik-local for the search fix.
Move Academy from hidden Standards sub-tab to a dedicated
top-level tab '🎓 Academy' in the main navigation bar.
- Add <div class="tab" data-tab="training"> to nav
- Create standalone <div id="tab-training"> with full Academy HTML
- Wire initTraining() into goToTab() handler
- Remove std-subtab-training skeleton from Standards section
- Remove training button from Standards sub-tab bar
- Update switchStdSubtab() to only handle standards/formfaktoren
Replace 260×60 sparkline with full 520×200 SVG line chart:
- Multi-vendor colored polylines (up to 8, MAGATAMA indigo palette)
- USD-normalized prices (EUR×1.08, GBP×1.27)
- Y/X axes with grid lines, date labels, price labels
- Hover vertical cursor + floating tooltip per-day vendor prices
- Click-to-toggle vendor legend
- 7d / 14d / 30d time range selector with live API re-fetch
- Current best prices table below the chart
- End-point dots per vendor line
E Buy-Now Intel 211k precomputed reorder signals surfaced,
filterable by form factor, signal strength bars
A Arbitrage 59k equivalence pairs + price data, FX vs comp
normalized to USD, sorted by savings %
B Switch Compat search 429 switches → compatible transceivers
with prices; 58k compatibility rows
C Supply Squeeze 4-signal detector: price momentum (30d vs 60d),
hype phase, AI cluster demand, stock pressure
D Dead Stock 7,297 dead-stock SKUs matched against ascending
hype phases (revival candidates)
5 new API endpoints: /api/procurement/reorder-top, /arbitrage,
/switch-compat, /supply-squeeze, /dead-stock-revival
Two new procurement sub-tabs backed by live database tables:
📦 Internal Demand (flexoptix_internal_demand, 8,585 SKUs):
- Velocity cards: fast_mover (70 SKUs, 53k units/12M), regular, slow, dead stock
- Filterable table with demand_12m, demand_3m, trend %, form factor
- GET /api/procurement/internal-demand — summary + paginated rows
🤖 AI Clusters (ai_cluster_announcements, 396 rows last 30d):
- Live datacenter build announcements with estimated transceiver demand
- Stats: total announcements, MW sum, distinct companies, total ~transceivers
- Filter for entries with transceiver estimates; time range selector
- GET /api/procurement/ai-clusters — data + period stats
Also: replaced misleading DEMO DATA banners on Reorder Signals and ABC
Classification sections with informational notes pointing to real data.
Equivalences Explorer:
- GET /api/equivalences — search 63k cross-brand mappings by part number/vendor
- GET /api/equivalences/transceiver/:id — all equivalences for a specific product
- GET /api/equivalences/stats — active count, unique products, avg confidence (93.9%)
- GET /api/equivalences/top-vendors — top 20 competitor vendors by coverage
- New "Equivalences" tab in dashboard with part-number search, vendor filter,
quick-click vendor chips, and results table with confidence coloring
- Transceiver detail modal: equivalences panel (Flexoptix alternatives or competitor
products), clickable rows, confidence percentage, orange highlight for FX products
Price History Charts:
- GET /api/price-history/:id?days=90 — daily min/max/avg per source vendor (392k obs)
- Transceiver detail modal: SVG sparkline chart per vendor, legend with latest prices,
range summary — loads async without blocking the modal
LinkedIn Distribution Status:
- GET /api/blog/linkedin/history — from blog_linkedin_distribution table
- Blog tab: LinkedIn status panel showing DRY_RUN badge, posted/dry_run/skipped/failed
stats, distribution history table with URN link to live posts
MCP Server — 2 new tools:
- find_equivalences: search 63k+ verified cross-brand mappings with confidence filter
- get_price_history: 392k+ observations, daily series, per-vendor analysis, cheapest source
- fetchUrlContent() now extracts OG/meta tags (og:title, og:description,
name="description", og:site_name) as fallback content for JS-rendered SPAs
- Returns spaDetected=true when body text < 300 chars after stripping scripts
- from-url endpoint skips gatherBlogData() product injection when SPA detected,
preventing fo-blog-v10 from defaulting to optical networking domain
- additionalContext now includes SPA warning instructing LLM not to default
to optical transceiver topics unless the page is actually about that
- generated_by in pipeline UPDATE query now uses active model name instead of
hardcoded 'fo-blog-engine-v7' (reads getLlmProvider().ollamaModel)
- Dashboard shows SPA warning toast when spa_detected=true in response
- Response now includes spa_detected field for client awareness
New POST /api/blog/from-url endpoint:
- Accepts url + topic in request body
- Fetches page server-side (no CORS, 20s timeout, redirect-follow)
- Strips script/style/nav/footer/svg; extracts readable text (~5000 chars)
- Extracts page title from <title> or <h1>
- Passes extracted content as structured additional_context to the
existing 16-step FO blog pipeline (same as manual generation)
- Returns immediately; LLM pipeline runs async
- Validated: smoke test fetched flexoptix.net/en/blog/, 5040 chars,
pipeline launched with llm_enhancing=true
New "🔗 Blog aus URL generieren" panel in dashboard:
- URL input (Enter key triggers generation)
- Blog-Typ dropdown (same 8 types as manual panel)
- Button shows loading state "⏳ Fetching…" during API call
- Status line shows extracted char count after success
- Reuses pollBlogLlm() for step-by-step progress polling
- Inline status field for error display without toast spam
Speed display: fix raw Gbps decimals → formatted labels
- 1600.00G → 1.6T (≥1000 Gbps converted to T)
- 400G → 400G (clean integer, no trailing .00)
- Helper function fmtSpeed() added in dashboard JS
Lagerbestand: add stock availability per transceiver
- getFlexoptixSuggestions() extended with LEFT JOIN LATERAL on
stock_observations (latest row per transceiver)
- Returns warehouse_de_qty, warehouse_global_qty, backorder_qty,
backorder_estimated_date
- Dashboard renders color-coded badges per row:
green = DE-Lager quantity
blue = Global-Lager quantity
yellow = Zulauf with estimated delivery date if available
- Badges hidden when all quantities are null/zero (graceful fallback)
Stock dashboard (index.html):
- Replace all [DEMO]/demo badges on warehouse data with "FS.com" source labels
(data was always real scraper data, never demo in the DB)
- Update subtitle: "Scraper-Lagermengen: DEMO DATA" → "Wettbewerber-Marktdaten"
- "Recently Restocked" badge: DEMO DATA → SCRAPER DATA
Switch detail (queries.ts):
- Fix getFlexoptixSuggestions: wavelength_nm → wavelength_tx_nm,
price_verified_usd → street_price_usd (column mismatch with live schema)
- DS5000 and other OSFP switches now show all 62 Flexoptix OSFP transceivers
with direct shop links in the detail modal
Hot Topics (hot-topics.ts):
- NOG Talks + News Article clusters now fetch summary/mentioned_vendors/
mentioned_products/mentioned_standards from news_articles table
- description field builds bullet-point list per article with summaries,
key vendors/standards (vs. 3 bare titles joined with "|" before)
- buildTopicBriefing() rewritten as structured LLM document with sections:
Market Signals (bullets), Recommended Angle, Market Context (buy signal,
technologies, impact horizon), Writing Instructions (600-900 words,
actionable, opinionated, no generic summaries)
- DELETE 2133 rows from reorder_signals WHERE is_demo_data = true
- atgbics.ts: add upsertStockObservation (confidence=1, binary available
boolean from Shopify API; quantityAvailable 1/0 for in/out stock)
- optcore.ts: add upsertStockObservation (confidence=1, WooCommerce text
stock level parsed via parseStockLevel; quantityAvailable 1/0)
- Both scrapers already run every 2h on Erik scheduler
- FS.com: already captures full warehouse breakdown (DE+Global+backorder)
3x/day from Mac (02:00/10:00/18:00) at confidence=3 — no change needed
- QSFPTEK: already captures real quantities at confidence=2 — no change
- sfpcables/prolabs/wiitek: no meaningful stock signal, not modified
