UX Improvements

This commit is contained in:
Brennan Wilkes (Text Groove) 2026-02-03 09:58:35 -08:00
parent b2a4afa890
commit c4673a05b0

View file

@ -3,20 +3,23 @@
/*
Print local link URLs for SKUs with largest rank discrepancy between AB and BC lists,
but ONLY when there exists another *different* listing (not in same linked group)
BUT only when there exists another *different* listing (not in same linked group)
with a reasonably high similarity score by name.
Usage:
node scripts/rank_discrepency_links.js \
node ./tools/rank_discrepency.js \
--ab reports/common_listings_ab_top1000.json \
--bc reports/common_listings_bc_top1000.json \
--meta viz/data/sku_meta.json \
--min-score 0.75 \
--min 10 \
--min-score 0.7 \
--top 50 \
--base "http://127.0.0.1:8080/#/link/?left="
--base "http://127.0.0.1:8080/#/link/?left=" \
--debug
Output:
http://127.0.0.1:8080/#/link/?left=<urlencoded canonSku>
Notes:
- If --meta is not provided, "same-linked" filtering is disabled (each SKU is its own group).
- Debug output goes to STDERR so your STDOUT stays as just links.
*/
const fs = require("fs");
@ -32,13 +35,21 @@ function parseArgs(argv) {
const out = {
ab: "reports/common_listings_ab_top1000.json",
bc: "reports/common_listings_bc_top1000.json",
meta: "", // optional sku_meta containing {links:[{fromSku,toSku}], ignores:...}
meta: "",
top: 50,
minDiscrep: 1,
includeMissing: false,
minScore: 0.75,
base: "http://127.0.0.1:8080/#/link/?left=",
minScore: 0.75, // similarity threshold for "reasonably high"
debug: false,
debugN: 20, // how many discrepancy candidates to dump debug lines for
debugPayload: false, // show payload structure details
dumpScores: false, // dump best match info per emitted link
};
for (let i = 0; i < argv.length; i++) {
const a = argv[i];
if (a === "--ab" && argv[i + 1]) out.ab = argv[++i];
@ -49,25 +60,69 @@ function parseArgs(argv) {
else if (a === "--min-score" && argv[i + 1]) out.minScore = Number(argv[++i]) || out.minScore;
else if (a === "--include-missing") out.includeMissing = true;
else if (a === "--base" && argv[i + 1]) out.base = String(argv[++i] || out.base);
else if (a === "--debug") out.debug = true;
else if (a === "--debug-n" && argv[i + 1]) out.debugN = Number(argv[++i]) || out.debugN;
else if (a === "--debug-payload") out.debugPayload = true;
else if (a === "--dump-scores") out.dumpScores = true;
}
return out;
}
function buildRankMap(payload) {
const rows = Array.isArray(payload?.rows) ? payload.rows : [];
const map = new Map();
for (let i = 0; i < rows.length; i++) {
const r = rows[i];
const k = r?.canonSku;
if (!k) continue;
map.set(String(k), { rank: i + 1, row: r });
}
return map;
/* ---------------- row extraction ---------------- */
function extractRows(payload) {
// Most likely shapes:
// - [ ... ]
// - { rows: [...] }
// - { data: { rows: [...] } }
// - { data: [...] } (sometimes)
// - { items: [...] } / { results: [...] } etc.
if (Array.isArray(payload)) return payload;
const candidates = [
payload?.rows,
payload?.data?.rows,
payload?.data,
payload?.items,
payload?.list,
payload?.results,
];
for (const x of candidates) if (Array.isArray(x)) return x;
return [];
}
function rowKey(r) {
// Prefer canonSku if present (this script works in canonSku space).
// Fall back to sku/id-like fields.
const k = r?.canonSku ?? r?.sku ?? r?.canon ?? r?.id ?? r?.key;
return k ? String(k) : "";
}
function pickName(row) {
if (!row) return "";
return String(row.name || row.title || row.productName || row.displayName || "");
return String(
row.name ??
row.title ??
row.productName ??
row.displayName ??
row.itemName ??
row.text ??
""
);
}
function buildRankMap(payload) {
const rows = extractRows(payload);
const map = new Map();
for (let i = 0; i < rows.length; i++) {
const r = rows[i];
const k = rowKey(r);
if (!k) continue;
map.set(String(k), { rank: i + 1, row: r });
}
return { map, rowsLen: rows.length };
}
/* ---------------- sku_meta grouping (optional) ---------------- */
@ -121,7 +176,6 @@ class DSU {
}
}
// Choose a stable representative (good enough for filtering “same-linked”)
function compareSku(a, b) {
a = String(a || "").trim();
b = String(b || "").trim();
@ -134,7 +188,8 @@ function compareSku(a, b) {
const aNum = /^\d+$/.test(a);
const bNum = /^\d+$/.test(b);
if (aNum && bNum) {
const na = Number(a), nb = Number(b);
const na = Number(a),
nb = Number(b);
if (Number.isFinite(na) && Number.isFinite(nb) && na !== nb) return na < nb ? -1 : 1;
}
return a < b ? -1 : 1;
@ -156,7 +211,6 @@ function buildCanonicalSkuFnFromMeta(meta) {
dsu.union(a, b);
}
// root -> members
const groupsByRoot = new Map();
for (const s of all) {
const r = dsu.find(s);
@ -166,7 +220,6 @@ function buildCanonicalSkuFnFromMeta(meta) {
set.add(s);
}
// root -> representative
const repByRoot = new Map();
for (const [root, members] of groupsByRoot.entries()) {
const arr = Array.from(members);
@ -174,7 +227,6 @@ function buildCanonicalSkuFnFromMeta(meta) {
repByRoot.set(root, arr[0] || root);
}
// sku -> rep
const canonBySku = new Map();
for (const [root, members] of groupsByRoot.entries()) {
const rep = repByRoot.get(root) || root;
@ -190,7 +242,6 @@ function buildCanonicalSkuFnFromMeta(meta) {
/* ---------------- similarity (copied from viz/app) ---------------- */
// Normalize for search: lowercase, punctuation -> space, collapse spaces
function normSearchText(s) {
return String(s ?? "")
.toLowerCase()
@ -205,9 +256,33 @@ function tokenizeQuery(q) {
}
const SIM_STOP_TOKENS = new Set([
"the","a","an","and","of","to","in","for","with",
"year","years","yr","yrs","old",
"whisky","whiskey","scotch","single","malt","cask","finish","edition","release","batch","strength","abv","proof",
"the",
"a",
"an",
"and",
"of",
"to",
"in",
"for",
"with",
"year",
"years",
"yr",
"yrs",
"old",
"whisky",
"whiskey",
"scotch",
"single",
"malt",
"cask",
"finish",
"edition",
"release",
"batch",
"strength",
"abv",
"proof",
"anniversary",
]);
@ -248,7 +323,7 @@ function filterSimTokens(tokens) {
["bourbon", "bourbon"],
]);
const VOL_UNIT = new Set(["ml","l","cl","oz","liter","liters","litre","litres"]);
const VOL_UNIT = new Set(["ml", "l", "cl", "oz", "liter", "liters", "litre", "litres"]);
const VOL_INLINE_RE = /^\d+(?:\.\d+)?(?:ml|l|cl|oz)$/i;
const PCT_INLINE_RE = /^\d+(?:\.\d+)?%$/;
@ -314,7 +389,8 @@ function tokenContainmentScore(aTokens, bTokens) {
function levenshtein(a, b) {
a = String(a || "");
b = String(b || "");
const n = a.length, m = b.length;
const n = a.length,
m = b.length;
if (!n) return m;
if (!m) return n;
@ -343,7 +419,6 @@ function numberMismatchPenalty(aTokens, bTokens) {
return 0.28;
}
// Same structure/weights as viz/app/linker/similarity.js
function similarityScore(aName, bName) {
const a = normSearchText(aName);
const b = normSearchText(bName);
@ -379,7 +454,7 @@ function similarityScore(aName, bName) {
const maxLen = Math.max(1, Math.max(a.length, b.length));
const levSim = 1 - d / maxLen;
let gate = firstMatch ? 1.0 : Math.min(0.80, 0.06 + 0.95 * contain);
let gate = firstMatch ? 1.0 : Math.min(0.8, 0.06 + 0.95 * contain);
const smallN = Math.min(aToks.length, bToks.length);
if (!firstMatch && smallN <= 3 && contain < 0.78) gate *= 0.18;
@ -390,7 +465,7 @@ function similarityScore(aName, bName) {
numGate *
(firstMatch * 3.0 +
overlapTail * 2.2 * gate +
levSim * (firstMatch ? 1.0 : (0.10 + 0.70 * contain)));
levSim * (firstMatch ? 1.0 : 0.1 + 0.7 * contain));
if (ageMatch) s *= 2.2;
else if (ageMismatch) s *= 0.18;
@ -400,7 +475,24 @@ function similarityScore(aName, bName) {
return s;
}
/* ---------------- main logic ---------------- */
/* ---------------- debug helpers ---------------- */
function briefObjShape(x) {
if (Array.isArray(x)) return { type: "array", len: x.length };
if (x && typeof x === "object") return { type: "object", keys: Object.keys(x).slice(0, 30) };
return { type: typeof x };
}
function eprintln(...args) {
console.error(...args);
}
function truncate(s, n) {
s = String(s || "");
return s.length <= n ? s : s.slice(0, n - 1) + "…";
}
/* ---------------- main ---------------- */
function main() {
const args = parseArgs(process.argv.slice(2));
@ -409,7 +501,9 @@ function main() {
const abPath = path.isAbsolute(args.ab) ? args.ab : path.join(repoRoot, args.ab);
const bcPath = path.isAbsolute(args.bc) ? args.bc : path.join(repoRoot, args.bc);
const metaPath = args.meta
? (path.isAbsolute(args.meta) ? args.meta : path.join(repoRoot, args.meta))
? path.isAbsolute(args.meta)
? args.meta
: path.join(repoRoot, args.meta)
: "";
const ab = readJson(abPath);
@ -419,8 +513,49 @@ function main() {
? buildCanonicalSkuFnFromMeta(readJson(metaPath))
: (sku) => normalizeImplicitSkuKey(sku);
const abMap = buildRankMap(ab);
const bcMap = buildRankMap(bc);
const abBuilt = buildRankMap(ab);
const bcBuilt = buildRankMap(bc);
const abMap = abBuilt.map;
const bcMap = bcBuilt.map;
if (args.debug || args.debugPayload) {
eprintln("[rank_discrepency] inputs:", {
abPath,
bcPath,
metaPath: metaPath || "(none)",
minDiscrep: args.minDiscrep,
minScore: args.minScore,
top: args.top,
includeMissing: args.includeMissing,
});
eprintln("[rank_discrepency] payload shapes:", {
ab: briefObjShape(ab),
bc: briefObjShape(bc),
});
eprintln("[rank_discrepency] extracted rows:", {
abRows: abBuilt.rowsLen,
bcRows: bcBuilt.rowsLen,
abKeys: abMap.size,
bcKeys: bcMap.size,
});
if (args.debugPayload) {
// show a tiny sample row keys + fields
const abRows = extractRows(ab);
const bcRows = extractRows(bc);
eprintln("[rank_discrepency] sample AB row[0] keys:", abRows[0] && typeof abRows[0] === "object" ? Object.keys(abRows[0]).slice(0, 40) : abRows[0]);
eprintln("[rank_discrepency] sample BC row[0] keys:", bcRows[0] && typeof bcRows[0] === "object" ? Object.keys(bcRows[0]).slice(0, 40) : bcRows[0]);
eprintln("[rank_discrepency] sample AB rowKey:", rowKey(abRows[0]));
eprintln("[rank_discrepency] sample BC rowKey:", rowKey(bcRows[0]));
eprintln("[rank_discrepency] sample AB name:", truncate(pickName(abRows[0]), 120));
eprintln("[rank_discrepency] sample BC name:", truncate(pickName(bcRows[0]), 120));
}
}
if (!abMap.size || !bcMap.size) {
eprintln("[rank_discrepency] ERROR: empty rank maps. Your JSON shape probably isn't {rows:[...]}. Try --debug-payload.");
process.exit(2);
}
// Build a flat pool of candidates from AB+BC (unique by canonSku)
const rowBySku = new Map();
@ -446,14 +581,14 @@ function main() {
const rankAB = a ? a.rank : null;
const rankBC = b ? b.rank : null;
const discrep =
rankAB !== null && rankBC !== null ? Math.abs(rankAB - rankBC) : Infinity;
const discrep = rankAB !== null && rankBC !== null ? Math.abs(rankAB - rankBC) : Infinity;
if (discrep !== Infinity && discrep < args.minDiscrep) continue;
diffs.push({
canonSku,
discrep,
rankAB,
rankBC,
sumRank: (rankAB ?? 1e9) + (rankBC ?? 1e9),
});
}
@ -464,35 +599,113 @@ function main() {
return String(x.canonSku).localeCompare(String(y.canonSku));
});
// Keep only discrepancies that have a high-scoring "other" candidate not in same linked group
if (args.debug) {
eprintln("[rank_discrepency] discrepancy candidates:", {
unionKeys: keys.size,
diffsAfterMin: diffs.length,
topDiscrepSample: diffs.slice(0, 5).map((d) => ({
sku: d.canonSku,
discrep: d.discrep,
rankAB: d.rankAB,
rankBC: d.rankBC,
name: truncate(allNames.get(String(d.canonSku)) || "", 90),
})),
});
}
const filtered = [];
const debugLines = [];
for (const d of diffs) {
const skuA = String(d.canonSku);
const nameA = allNames.get(skuA) || pickName(abMap.get(skuA)?.row) || pickName(bcMap.get(skuA)?.row);
if (!nameA) continue;
const nameA =
allNames.get(skuA) ||
pickName(abMap.get(skuA)?.row) ||
pickName(bcMap.get(skuA)?.row) ||
"";
if (!nameA) {
if (args.debug && debugLines.length < args.debugN) {
debugLines.push({ sku: skuA, reason: "no-name" });
}
continue;
}
const groupA = canonicalSku(skuA);
let best = 0;
let bestSku = "";
let bestName = "";
for (const skuB of allSkus) {
if (skuB === skuA) continue;
// not same-linked group
if (canonicalSku(skuB) === groupA) continue;
const nameB = allNames.get(skuB) || "";
if (!nameB) continue;
const s = similarityScore(nameA, nameB);
if (s > best) best = s;
if (s > best) {
best = s;
bestSku = skuB;
bestName = nameB;
}
}
if (best >= args.minScore) filtered.push(d);
const pass = best >= args.minScore;
if (args.debug && debugLines.length < args.debugN) {
debugLines.push({
sku: skuA,
discrep: d.discrep,
rankAB: d.rankAB,
rankBC: d.rankBC,
nameA: truncate(nameA, 80),
groupA,
best,
bestSku,
bestGroup: bestSku ? canonicalSku(bestSku) : "",
bestName: truncate(bestName, 80),
pass,
});
}
if (!pass) continue;
filtered.push({ ...d, best, bestSku, bestName });
if (filtered.length >= args.top) break;
}
if (args.debug) {
eprintln("[rank_discrepency] filter results:", {
filtered: filtered.length,
minScore: args.minScore,
minDiscrep: args.minDiscrep,
});
eprintln("[rank_discrepency] debug sample (first N checked):");
for (const x of debugLines) eprintln(" ", x);
}
// STDOUT: links (and optionally score dumps)
for (const d of filtered) {
console.log(args.base + encodeURIComponent(d.canonSku));
if (args.dumpScores) {
// keep link first so it's easy to pipe
eprintln(
"[rank_discrepency] emit",
JSON.stringify({
sku: d.canonSku,
discrep: d.discrep,
rankAB: d.rankAB,
rankBC: d.rankBC,
best: d.best,
bestSku: d.bestSku,
bestName: truncate(d.bestName, 120),
})
);
}
console.log(args.base + encodeURIComponent(String(d.canonSku)));
}
if (args.debug) {
eprintln("[rank_discrepency] done.");
}
}