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add download-images, color-names (PIL hue buckets), stage-db (tokiwa_catalog), image-audit scripts

bd416c6bc042b9b41f14718ee9f3d65aad9e08b9 · 2026-07-22 17:40:02 -0700 · Steve Abrams

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commit bd416c6bc042b9b41f14718ee9f3d65aad9e08b9
Author: Steve Abrams <steve@designerwallcoverings.com>
Date:   Wed Jul 22 17:40:02 2026 -0700

    add download-images, color-names (PIL hue buckets), stage-db (tokiwa_catalog), image-audit scripts
---
 images/005-801-003-301.jpg | Bin 0 -> 6726129 bytes
 images/005-801-003-305.jpg | Bin 0 -> 7787032 bytes
 images/005-801-003-307.jpg | Bin 0 -> 8851017 bytes
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 images/A-18001.jpg         | Bin 0 -> 4805279 bytes
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 images/DW-101.jpg          | Bin 0 -> 1087450 bytes
 images/DW-103.jpg          | Bin 0 -> 1187724 bytes
 images/DW-201.jpg          | Bin 0 -> 1237486 bytes
 images/DW-203.jpg          | Bin 0 -> 1255551 bytes
 images/FE-GC001.jpg        | Bin 0 -> 301881 bytes
 images/FE-GC002.jpg        | Bin 0 -> 309730 bytes
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 images/FE-GC004.jpg        | Bin 0 -> 303606 bytes
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 images/GB-1053.jpg         | Bin 0 -> 2120882 bytes
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 images/GB-1055.jpg         | Bin 0 -> 1830099 bytes
 images/GB-1056.jpg         | Bin 0 -> 1734329 bytes
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 images/GB-1062.jpg         | Bin 0 -> 2029509 bytes
 images/GB-1063.jpg         | Bin 0 -> 1710622 bytes
 scripts/color-names.py     |  67 ++++++++++++++++++++++++++++++++++++++
 scripts/download-images.js |  41 ++++++++++++++++++++++++
 scripts/image-audit.js     |  46 ++++++++++++++++++++++++++
 scripts/stage-db.js        |  78 +++++++++++++++++++++++++++++++++++++++++++++
 107 files changed, 232 insertions(+)

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diff --git a/scripts/color-names.py b/scripts/color-names.py
new file mode 100644
index 0000000..18a4c6e
--- /dev/null
+++ b/scripts/color-names.py
@@ -0,0 +1,67 @@
+#!/usr/bin/env python3
+"""Derive interior-designer-lexicon color names from dominant hue of each local image.
+Simple hue/sat/lightness bucket -> name table (enrichment pass comes later).
+Writes data/colors.json: { mfr_sku: {hex, name} }
+"""
+import json, os, sys, colorsys
+from PIL import Image
+
+ROOT = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
+products = json.load(open(os.path.join(ROOT, 'data', 'products.json')))
+
+def dominant_color(path):
+    im = Image.open(path).convert('RGB')
+    # center crop 60% to avoid borders/shadows, then shrink
+    w, h = im.size
+    im = im.crop((int(w*0.2), int(h*0.2), int(w*0.8), int(h*0.8))).resize((50, 50))
+    px = list(im.getdata())
+    r = sum(p[0] for p in px)//len(px); g = sum(p[1] for p in px)//len(px); b = sum(p[2] for p in px)//len(px)
+    return r, g, b
+
+def name_for(r, g, b):
+    hh, ll, ss = colorsys.rgb_to_hls(r/255, g/255, b/255)
+    hue = hh*360
+    # neutrals first
+    if ss < 0.09:
+        if ll > 0.88: return 'Alabaster'
+        if ll > 0.75: return 'Ivory'
+        if ll > 0.60: return 'Greige'
+        if ll > 0.45: return 'Pewter'
+        if ll > 0.30: return 'Slate'
+        if ll > 0.15: return 'Charcoal'
+        return 'Ebony'
+    warm_neutral = ss < 0.25
+    if hue < 15 or hue >= 345:
+        return 'Blush' if ll > 0.7 else ('Terracotta' if ll > 0.4 else 'Garnet')
+    if hue < 45:
+        if warm_neutral:
+            return 'Oatmeal' if ll > 0.7 else ('Fawn' if ll > 0.45 else 'Espresso')
+        return 'Sand' if ll > 0.7 else ('Amber' if ll > 0.45 else 'Sienna')
+    if hue < 70:
+        return 'Champagne' if ll > 0.72 else ('Ochre' if ll > 0.45 else 'Bronze')
+    if hue < 100:
+        return 'Flax' if ll > 0.72 else ('Sage' if ll > 0.45 else 'Olive')
+    if hue < 165:
+        return 'Celadon' if ll > 0.65 else ('Moss' if ll > 0.4 else 'Forest')
+    if hue < 200:
+        return 'Seaglass' if ll > 0.65 else ('Verdigris' if ll > 0.4 else 'Teal')
+    if hue < 250:
+        return 'Sky' if ll > 0.65 else ('Denim' if ll > 0.4 else 'Indigo')
+    if hue < 290:
+        return 'Lilac' if ll > 0.65 else ('Plum' if ll > 0.4 else 'Aubergine')
+    return 'Rose' if ll > 0.65 else ('Mulberry' if ll > 0.4 else 'Bordeaux')
+
+out, errs = {}, []
+for p in products:
+    path = os.path.join(ROOT, p['image_local'])
+    if not os.path.exists(path):
+        errs.append(p['mfr_sku']); continue
+    try:
+        r, g, b = dominant_color(path)
+        out[p['mfr_sku']] = {'hex': '#%02x%02x%02x' % (r, g, b), 'name': name_for(r, g, b)}
+    except Exception as e:
+        errs.append(p['mfr_sku'])
+
+json.dump(out, open(os.path.join(ROOT, 'data', 'colors.json'), 'w'), indent=1)
+print(f"colored: {len(out)}, missing/error: {len(errs)}")
+if errs: print('errors:', errs[:20])
diff --git a/scripts/download-images.js b/scripts/download-images.js
new file mode 100644
index 0000000..f68c343
--- /dev/null
+++ b/scripts/download-images.js
@@ -0,0 +1,41 @@
+#!/usr/bin/env node
+// Download original full-res wixstatic images to images/<safe mfr_sku>.jpg
+// Verifies every file is a real image > 5KB (guards the WallQuest image-collapse gotcha).
+const fs = require('fs');
+const path = require('path');
+
+const ROOT = path.join(__dirname, '..');
+const products = JSON.parse(fs.readFileSync(path.join(ROOT, 'data', 'products.json')));
+
+function isImage(buf) {
+  if (buf.length < 4) return false;
+  if (buf[0] === 0xFF && buf[1] === 0xD8) return true;               // JPEG
+  if (buf[0] === 0x89 && buf[1] === 0x50) return true;               // PNG
+  if (buf.slice(0, 4).toString() === 'RIFF') return true;            // WebP
+  return false;
+}
+
+(async () => {
+  const results = [];
+  let ok = 0, failed = 0, skipped = 0;
+  for (const p of products) {
+    const dest = path.join(ROOT, p.image_local);
+    if (fs.existsSync(dest) && fs.statSync(dest).size > 5120) { skipped++; continue; }
+    try {
+      const res = await fetch(p.image_url, { headers: { 'User-Agent': 'Mozilla/5.0' } });
+      if (!res.ok) throw new Error(`HTTP ${res.status}`);
+      const buf = Buffer.from(await res.arrayBuffer());
+      if (buf.length <= 5120) throw new Error(`too small: ${buf.length}B`);
+      if (!isImage(buf)) throw new Error('not an image (magic bytes)');
+      fs.writeFileSync(dest, buf);
+      ok++;
+    } catch (e) {
+      failed++;
+      results.push({ mfr_sku: p.mfr_sku, image_url: p.image_url, error: e.message });
+      console.error(`${p.mfr_sku}: ${e.message}`);
+    }
+    await new Promise(r => setTimeout(r, 150));
+  }
+  fs.writeFileSync(path.join(ROOT, 'data', 'image-failures.json'), JSON.stringify(results, null, 2));
+  console.log(`downloaded: ${ok}, cached: ${skipped}, failed: ${failed}`);
+})();
diff --git a/scripts/image-audit.js b/scripts/image-audit.js
new file mode 100644
index 0000000..d6d6baf
--- /dev/null
+++ b/scripts/image-audit.js
@@ -0,0 +1,46 @@
+#!/usr/bin/env node
+// WallQuest image-collapse guard: per PATTERN, compare distinct image checksums vs colorway count.
+// Flags any pattern where colorways share one image file. Also verifies every file real & >5KB.
+const fs = require('fs');
+const path = require('path');
+const crypto = require('crypto');
+
+const ROOT = path.join(__dirname, '..');
+const products = JSON.parse(fs.readFileSync(path.join(ROOT, 'data', 'products.json')));
+
+const byPattern = new Map();
+let missing = [], small = [];
+for (const p of products) {
+  const f = path.join(ROOT, p.image_local);
+  let hash = null;
+  if (!fs.existsSync(f)) missing.push(p.mfr_sku);
+  else if (fs.statSync(f).size <= 5120) small.push(p.mfr_sku);
+  else hash = crypto.createHash('md5').update(fs.readFileSync(f)).digest('hex');
+  const arr = byPattern.get(p.pattern_key) || [];
+  arr.push({ sku: p.mfr_sku, hash });
+  byPattern.set(p.pattern_key, arr);
+}
+
+const flagged = [];
+for (const [key, arr] of byPattern) {
+  const withImg = arr.filter(a => a.hash);
+  const distinct = new Set(withImg.map(a => a.hash)).size;
+  if (withImg.length > 1 && distinct < withImg.length) {
+    // find which skus share
+    const seen = new Map();
+    const dups = [];
+    for (const a of withImg) { if (seen.has(a.hash)) dups.push(`${a.sku}=${seen.get(a.hash)}`); else seen.set(a.hash, a.sku); }
+    flagged.push({ pattern: key, colorways: withImg.length, distinct_images: distinct, shared: dups });
+  }
+}
+
+const report = {
+  total: products.length,
+  with_image: products.length - missing.length - small.length,
+  missing, small,
+  coverage_pct: +(100 * (products.length - missing.length - small.length) / products.length).toFixed(1),
+  shared_image_patterns: flagged,
+};
+fs.writeFileSync(path.join(ROOT, 'data', 'image-audit.json'), JSON.stringify(report, null, 2));
+console.log(JSON.stringify({ ...report, missing: missing.length, small: small.length }, null, 1));
+if (flagged.length) console.log('FLAGGED patterns:', flagged.map(f => f.pattern).join(', '));
diff --git a/scripts/stage-db.js b/scripts/stage-db.js
new file mode 100644
index 0000000..bd8a76e
--- /dev/null
+++ b/scripts/stage-db.js
@@ -0,0 +1,78 @@
+#!/usr/bin/env node
+// Stage Fentucci Naturals (Tokiwa — INTERNAL name only) into dw_unified.tokiwa_catalog
+// PostgreSQL FIRST, isolated NEW staging table, status='staged'. No Shopify, no FileMaker.
+// Applies colorway names from data/colors.json (dedup within pattern: " II", " III"...)
+const fs = require('fs');
+const path = require('path');
+const { execFileSync } = require('child_process');
+
+const ROOT = path.join(__dirname, '..');
+const products = JSON.parse(fs.readFileSync(path.join(ROOT, 'data', 'products.json')));
+const colors = JSON.parse(fs.readFileSync(path.join(ROOT, 'data', 'colors.json')));
+
+const ROMAN = ['', ' II', ' III', ' IV', ' V', ' VI', ' VII', ' VIII', ' IX', ' X',
+  ' XI', ' XII', ' XIII', ' XIV', ' XV', ' XVI', ' XVII', ' XVIII', ' XIX', ' XX'];
+
+// assign deduped color names within each pattern (deterministic: dw_sku order)
+const usedByPattern = new Map();
+for (const p of products) {
+  const c = colors[p.mfr_sku];
+  let base = c ? c.name : null;
+  if (!base) { p.color_name = null; p.color_hex = null; continue; }
+  const used = usedByPattern.get(p.pattern_key) || new Map();
+  const n = used.get(base) || 0;
+  used.set(base, n + 1);
+  usedByPattern.set(p.pattern_key, used);
+  p.color_name = base + (ROMAN[n] !== undefined ? ROMAN[n] : ` ${n + 1}`);
+  p.color_hex = c.hex;
+}
+fs.writeFileSync(path.join(ROOT, 'data', 'products.json'), JSON.stringify(products, null, 2));
+
+const esc = s => s == null ? 'NULL' : `'${String(s).replace(/'/g, "''")}'`;
+
+const ddl = `
+CREATE TABLE IF NOT EXISTS tokiwa_catalog (
+  id serial PRIMARY KEY,
+  mfr_sku text NOT NULL UNIQUE,
+  dw_sku text UNIQUE,
+  pattern_series text,
+  pattern_name text,
+  color_name text,
+  color_hex text,
+  brand text DEFAULT 'Fentucci Naturals',
+  product_type text DEFAULT 'Wallcovering',
+  material text,
+  source_category text,
+  source_url text,
+  image_url text,
+  image_local text,
+  price_mode text DEFAULT 'quote_only',
+  sample_price numeric(10,2) DEFAULT 4.25,
+  status text DEFAULT 'staged',
+  created_at timestamptz DEFAULT now()
+);`;
+
+const rows = products.map(p => `(${[
+  esc(p.mfr_sku), esc(p.dw_sku), esc(p.pattern_series), esc(p.pattern_name),
+  esc(p.color_name), esc(p.color_hex), esc(p.brand), `'Wallcovering'`, esc(p.material),
+  esc(p.source_category), esc(p.source_page), esc(p.image_url), esc(p.image_local),
+  `'quote_only'`, '4.25', `'staged'`,
+].join(',')})`);
+
+const sql = ddl + `
+INSERT INTO tokiwa_catalog (mfr_sku, dw_sku, pattern_series, pattern_name, color_name, color_hex,
+  brand, product_type, material, source_category, source_url, image_url, image_local,
+  price_mode, sample_price, status)
+VALUES\n${rows.join(',\n')}
+ON CONFLICT (mfr_sku) DO UPDATE SET
+  dw_sku = EXCLUDED.dw_sku, pattern_series = EXCLUDED.pattern_series,
+  pattern_name = EXCLUDED.pattern_name, color_name = EXCLUDED.color_name,
+  color_hex = EXCLUDED.color_hex, material = EXCLUDED.material,
+  source_category = EXCLUDED.source_category, source_url = EXCLUDED.source_url,
+  image_url = EXCLUDED.image_url, image_local = EXCLUDED.image_local;
+SELECT count(*) AS staged FROM tokiwa_catalog;`;
+
+const tmp = path.join(ROOT, 'data', 'stage.sql');
+fs.writeFileSync(tmp, sql);
+const out = execFileSync('psql', ['host=/tmp dbname=dw_unified', '-f', tmp], { encoding: 'utf8' });
+console.log(out.split('\n').slice(-6).join('\n'));

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