steve
c15f860853
Adds an editable 'solo-find bonus ×' (default 1.5). A confirmed finding reported by exactly one model (derived from the global reporter count per content-addressed finding — no grader flagging needed) scores severity × bonus. New 'solo' column counts uniquely-caught confirmed findings. Solo-ness is computed over ALL data so the model filter can't fake it. Client-side only; store stays point-free. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
345 lines
18 KiB
HTML
345 lines
18 KiB
HTML
<!DOCTYPE html>
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<html lang="en">
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<head>
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<meta charset="utf-8">
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<meta name="viewport" content="width=device-width, initial-scale=1">
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<title>gadfly-reports · model performance</title>
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<style>
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:root { --bg:#0f1115; --panel:#171a21; --line:#262b36; --fg:#e6e9ef; --mut:#9aa4b2; --acc:#7aa2f7; --good:#6ee7a0; --bad:#f7768e; --warn:#e0af68; }
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* { box-sizing:border-box; }
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body { margin:0; background:var(--bg); color:var(--fg); font:14px/1.45 system-ui,-apple-system,Segoe UI,Roboto,sans-serif; }
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header { display:flex; align-items:center; gap:12px; padding:12px 16px; border-bottom:1px solid var(--line); flex-wrap:wrap; }
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h1 { font-size:16px; margin:0; font-weight:600; }
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h1 .fly { font-size:18px; }
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.mut { color:var(--mut); }
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.spacer { flex:1; }
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main { padding:16px; }
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.panel { background:var(--panel); border:1px solid var(--line); border-radius:8px; padding:12px; margin-bottom:14px; }
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.row { display:flex; flex-wrap:wrap; gap:10px 14px; align-items:flex-end; }
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.f { display:flex; flex-direction:column; gap:3px; }
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.f label { font-size:11px; text-transform:uppercase; letter-spacing:.04em; color:var(--mut); }
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input, select, button { background:#0c0e12; color:var(--fg); border:1px solid var(--line); border-radius:6px; padding:6px 8px; font:inherit; }
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input[type=number] { width:64px; }
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input[type=date] { width:140px; }
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input.search { width:220px; }
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button { cursor:pointer; }
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button.primary { background:var(--acc); color:#0c0e12; border-color:var(--acc); font-weight:600; }
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button.link { background:none; border:none; color:var(--acc); padding:0; text-decoration:underline; }
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table { width:100%; border-collapse:collapse; font-variant-numeric:tabular-nums; }
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th, td { text-align:right; padding:6px 9px; border-bottom:1px solid var(--line); white-space:nowrap; }
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th:first-child, td:first-child, th.l, td.l { text-align:left; }
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th { color:var(--mut); font-weight:600; cursor:pointer; user-select:none; position:sticky; top:0; background:var(--panel); }
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th.active::after { content:" ▾"; color:var(--acc); }
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th.active.asc::after { content:" ▴"; }
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tbody tr:hover { background:#1d212b; }
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tr.sel { background:#23304d !important; }
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.sev { display:inline-block; min-width:14px; padding:0 4px; border-radius:4px; font-size:11px; }
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.pill { font-size:11px; padding:1px 6px; border:1px solid var(--line); border-radius:999px; color:var(--mut); cursor:pointer; }
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.good { color:var(--good); } .bad { color:var(--bad); } .warn { color:var(--warn); }
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.num { font-variant-numeric:tabular-nums; }
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.tok { display:inline-flex; gap:6px; align-items:center; }
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#err { color:var(--bad); }
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details > summary { cursor:pointer; color:var(--mut); }
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.small { font-size:12px; }
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code { background:#0c0e12; padding:1px 5px; border-radius:4px; }
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</style>
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</head>
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<body>
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<header>
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<h1><span class="fly">🪰📋</span> gadfly-reports <span class="mut">· model performance</span></h1>
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<span class="spacer"></span>
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<span id="status" class="mut small"></span>
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<div class="tok" id="tokbox" style="display:none">
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<input id="token" type="password" placeholder="store bearer token" size="22">
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<button class="primary" onclick="saveToken()">connect</button>
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</div>
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<button onclick="load()">↻ refresh</button>
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</header>
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<main>
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<div id="err"></div>
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<div class="panel">
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<div class="row">
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<div class="f"><label>from</label><input type="date" id="from"></div>
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<div class="f"><label>to</label><input type="date" id="to"></div>
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<div class="f"><label>repo</label><select id="repo"></select></div>
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<div class="f"><label>provider</label><select id="provider"></select></div>
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<div class="f"><label>model</label><select id="model"></select></div>
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<div class="f"><label>lens</label><select id="lens"></select></div>
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<div class="f"><label>grade / severity</label><select id="grade"></select></div>
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<div class="f"><label>search (title/file)</label><input class="search" id="q" placeholder="substring…"></div>
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<div class="f"><label> </label><button class="link" onclick="resetFilters()">reset</button></div>
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</div>
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<div class="row" style="margin-top:10px">
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<div class="f" style="flex-direction:row;align-items:center;gap:8px">
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<label style="text-transform:none">points curve (client-side):</label>
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<span class="small mut">trivial</span><input type="number" id="p_trivial" value="1">
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<span class="small mut">small</span><input type="number" id="p_small" value="3">
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<span class="small mut">medium</span><input type="number" id="p_medium" value="5">
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<span class="small mut">high</span><input type="number" id="p_high" value="8">
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<span class="small mut">critical</span><input type="number" id="p_critical" value="20">
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<span class="small mut" style="margin-left:18px">false-positive penalty ×</span><input type="number" id="fp_mult" value="-0.5" step="0.5" title="A false positive scores this × the severity the model CLAIMED (its lens verdict). e.g. a Blocking-claimed FP at -0.5 = high(8) × -0.5 = -4 pts.">
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<span class="small mut" style="margin-left:18px">solo-find bonus ×</span><input type="number" id="solo_bonus" value="1.5" step="0.5" min="1" title="A confirmed finding that NO other model reported scores this × its severity points — rewarding a model for catching what the swarm missed. 1 = no bonus.">
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</div>
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</div>
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</div>
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<div class="panel">
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<div id="summary" class="small mut" style="margin-bottom:8px"></div>
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<table id="models">
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<thead><tr id="mhead"></tr></thead>
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<tbody id="mbody"></tbody>
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</table>
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</div>
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<div class="panel">
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<details id="detwrap">
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<summary><span id="detcount">findings</span> — drill down (click a model row above to scope)</summary>
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<table style="margin-top:10px">
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<thead><tr>
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<th class="l">reported</th><th class="l">repo</th><th>pr</th><th class="l">lens</th>
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<th class="l">file:line</th><th class="l">title</th><th class="l">model</th>
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<th class="l">grade</th><th class="l">by</th>
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</tr></thead>
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<tbody id="fbody"></tbody>
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</table>
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</details>
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</div>
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</main>
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<script>
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const SEVS = ["trivial","small","medium","high","critical"];
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const SEVCOLOR = { trivial:"#3b4252", small:"#2e4d3a", medium:"#4d4a2e", high:"#5a3b2e", critical:"#5a2e3a" };
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let RUNS = [], ROWS = [];
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let sortKey = "ptsPerMin", sortAsc = false, selModel = null;
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function token(){
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const q = new URL(location.href).searchParams.get("token");
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if (q) { localStorage.setItem("grt", q); return q; }
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return localStorage.getItem("grt") || "";
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}
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function saveToken(){ localStorage.setItem("grt", document.getElementById("token").value.trim()); load(); }
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function needToken(){ document.getElementById("tokbox").style.display = "flex"; }
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async function api(path){
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const t = token();
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const r = await fetch(path, { headers: t ? { "Authorization":"Bearer "+t } : {} });
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if (r.status === 401) { needToken(); throw new Error("401 — set a valid token"); }
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if (!r.ok) throw new Error(path + " → " + r.status);
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return r.json();
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}
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async function load(){
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const err = document.getElementById("err"); err.textContent = "";
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document.getElementById("status").textContent = "loading…";
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try {
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const [runs, rows] = await Promise.all([api("/runs"), api("/export")]);
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RUNS = runs || []; ROWS = rows || [];
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document.getElementById("tokbox").style.display = "none";
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buildFacets(); render();
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document.getElementById("status").textContent =
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RUNS.length + " runs · " + ROWS.length + " reports";
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} catch (e) {
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err.textContent = String(e.message || e);
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document.getElementById("status").textContent = "";
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}
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}
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function uniq(vals){ return [...new Set(vals.filter(Boolean))].sort(); }
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function opt(sel, vals, label){
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const cur = sel.value;
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sel.innerHTML = "";
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const a = document.createElement("option"); a.value = ""; a.textContent = label; sel.appendChild(a);
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for (const v of vals){ const o = document.createElement("option"); o.value = v; o.textContent = v; sel.appendChild(o); }
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if (vals.includes(cur)) sel.value = cur;
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}
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function buildFacets(){
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opt(document.getElementById("repo"), uniq([...RUNS.map(r=>r.repo), ...ROWS.map(r=>r.repo)]), "all repos");
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opt(document.getElementById("provider"), uniq([...RUNS.map(r=>r.provider), ...ROWS.map(r=>r.provider)]), "all providers");
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opt(document.getElementById("model"), uniq([...RUNS.map(r=>r.model), ...ROWS.map(r=>r.model)]), "all models");
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opt(document.getElementById("lens"), uniq(ROWS.map(r=>r.lens)), "all lenses");
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opt(document.getElementById("grade"), ["ungraded","false-positive","confirmed", ...SEVS], "any grade");
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}
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function curve(){
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const c = {};
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for (const s of SEVS) c[s] = parseFloat(document.getElementById("p_"+s).value) || 0;
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return c;
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}
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function fpMult(){ const v = parseFloat(document.getElementById("fp_mult").value); return isNaN(v) ? 0 : v; }
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function soloBonus(){ const v = parseFloat(document.getElementById("solo_bonus").value); return isNaN(v) ? 1 : v; }
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// A false positive has no graded severity, so penalize it by the severity the
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// MODEL claimed — its lens verdict (raw_severity) — mapped onto the curve. The
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// louder the wrong cry, the bigger the penalty.
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function rawToSevKey(raw){
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const s = (raw||"").toLowerCase();
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if (s.includes("blocking")) return "high";
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if (s.includes("minor")) return "small";
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if (s.includes("no material")) return "trivial";
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return "medium"; // unknown / "Reviewed"
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}
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function filters(){
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return {
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from: document.getElementById("from").value,
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to: document.getElementById("to").value,
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repo: document.getElementById("repo").value,
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provider: document.getElementById("provider").value,
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model: document.getElementById("model").value,
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lens: document.getElementById("lens").value,
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grade: document.getElementById("grade").value,
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q: document.getElementById("q").value.trim().toLowerCase(),
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};
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}
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function dateOK(ts, f){ const d = (ts||"").slice(0,10); return (!f.from || d >= f.from) && (!f.to || d <= f.to); }
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// run-level filters only (date/repo/provider/model) — severity/lens/search are finding-level.
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function runMatch(r, f){
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return dateOK(r.created_at, f) && (!f.repo || r.repo===f.repo) &&
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(!f.provider || r.provider===f.provider) && (!f.model || r.model===f.model);
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}
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function gradeMatch(row, g){
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if (!g) return true;
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if (g === "ungraded") return !row.graded;
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if (g === "false-positive") return row.graded && row.is_real === false;
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if (g === "confirmed") return row.graded && row.is_real === true;
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return row.graded && row.is_real === true && row.severity === g; // a specific severity
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}
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function rowMatch(row, f){
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if (!dateOK(row.reported_at, f)) return false;
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if (f.repo && row.repo!==f.repo) return false;
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if (f.provider && row.provider!==f.provider) return false;
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if (f.model && row.model!==f.model) return false;
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if (f.lens && row.lens!==f.lens) return false;
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if (!gradeMatch(row, f.grade)) return false;
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if (f.q && !((row.title||"")+" "+(row.file||"")+" "+(row.repo||"")).toLowerCase().includes(f.q)) return false;
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return true;
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}
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function aggregate(f){
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const c = curve();
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// GLOBAL reporter set per finding (ignores filters) — a finding is "solo" when
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// exactly one model ever reported it, so the model filter can't fake solo-ness.
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const reporters = new Map();
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for (const r of ROWS){ if(!reporters.has(r.finding_id)) reporters.set(r.finding_id, new Set()); reporters.get(r.finding_id).add(r.model); }
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const M = new Map();
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const get = m => { if(!M.has(m)) M.set(m, {model:m, provider:"", runs:0, minutes:0, inTok:0, outTok:0,
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findings:new Set(), confirmed:new Map(), fp:new Map(), ungraded:new Set()}); return M.get(m); };
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for (const r of RUNS){ if(!runMatch(r,f)) continue; const m=get(r.model); m.runs++; m.minutes += (r.duration_secs||0)/60;
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m.inTok += r.input_tokens||0; m.outTok += r.output_tokens||0; if(r.provider) m.provider=r.provider; }
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const rows = ROWS.filter(r => rowMatch(r, f));
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for (const r of rows){ const m=get(r.model); if(r.provider) m.provider=m.provider||r.provider;
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m.findings.add(r.finding_id);
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if (r.graded && r.is_real === true){ m.confirmed.set(r.finding_id, r.severity || ""); }
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else if (r.graded && r.is_real === false){ m.fp.set(r.finding_id, rawToSevKey(r.raw_severity)); }
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else { m.ungraded.add(r.finding_id); }
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}
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const fpm = fpMult(), sb = soloBonus();
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const out = [...M.values()].map(m => {
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const sevCounts = Object.fromEntries(SEVS.map(s=>[s,0]));
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let confirmedPoints = 0, solo = 0;
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for (const [fid, sevv] of m.confirmed){
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if (sevCounts[sevv] !== undefined) sevCounts[sevv]++;
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const isSolo = (reporters.get(fid)?.size || 1) === 1; // only this model ever reported it
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if (isSolo) solo++;
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confirmedPoints += (c[sevv] || 0) * (isSolo ? sb : 1);
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}
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let fpPen = 0; for (const k of m.fp.values()) fpPen += (c[k]||0) * fpm; // negative when fpm<0
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const points = confirmedPoints + fpPen; // NET: solo-boosted confirmed + FP penalty
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const findings = m.findings.size, confirmed = m.confirmed.size;
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return { model:m.model, provider:m.provider, runs:m.runs, minutes:m.minutes,
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inTok:m.inTok, outTok:m.outTok, findings, confirmed, solo, fp:m.fp.size, ungraded:m.ungraded.size,
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sev:sevCounts, confirmedPoints, fpPen, points,
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ptsPerMin: m.minutes>0 ? points/m.minutes : null,
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ptsPerRun: m.runs>0 ? points/m.runs : null,
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confirmedPct: findings>0 ? confirmed/findings*100 : null };
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}).filter(m => m.runs>0 || m.findings>0);
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return { models: out, rows };
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}
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const COLS = [
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{k:"model", t:"model", l:true}, {k:"provider", t:"provider", l:true},
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{k:"runs", t:"runs"}, {k:"minutes", t:"min", fmt:v=>v.toFixed(1)},
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{k:"findings", t:"findings"}, {k:"confirmed", t:"real"}, {k:"solo", t:"solo"}, {k:"fp", t:"FP"}, {k:"ungraded", t:"ungr"},
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{k:"confirmedPct", t:"real%", fmt:v=>v==null?"—":v.toFixed(0)+"%"},
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{k:"fpPen", t:"fp pen", fmt:v=>v?v.toFixed(1):"0"},
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{k:"points", t:"points (net)", fmt:v=>v.toFixed(0)},
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{k:"ptsPerMin", t:"pts/min", fmt:v=>v==null?"—":v.toFixed(2)},
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{k:"ptsPerRun", t:"pts/run", fmt:v=>v==null?"—":v.toFixed(1)},
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{k:"sev", t:"by severity", l:true, fmt:sev=>SEVS.filter(s=>sev[s]).map(s=>`<span class="sev" style="background:${SEVCOLOR[s]}">${s[0].toUpperCase()}${sev[s]}</span>`).join(" ")||"—"},
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];
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function render(){
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const f = filters();
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const { models, rows } = aggregate(f);
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models.sort((a,b)=>{
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let x=a[sortKey], y=b[sortKey];
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if (sortKey==="model"||sortKey==="provider"){ x=x||""; y=y||""; return sortAsc ? x.localeCompare(y) : y.localeCompare(x); }
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x = x==null?-1:x; y = y==null?-1:y; return sortAsc ? x-y : y-x;
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});
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// header
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const hh = document.getElementById("mhead"); hh.innerHTML = "";
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for (const col of COLS){
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const th = document.createElement("th"); th.textContent = col.t; if (col.l) th.className="l";
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if (col.k===sortKey){ th.classList.add("active"); if(sortAsc) th.classList.add("asc"); }
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th.onclick = ()=>{ if(sortKey===col.k) sortAsc=!sortAsc; else { sortKey=col.k; sortAsc=false; } render(); };
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hh.appendChild(th);
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}
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// body
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const mb = document.getElementById("mbody"); mb.innerHTML = "";
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for (const m of models){
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const tr = document.createElement("tr"); if (m.model===selModel) tr.className="sel";
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tr.onclick = ()=>{ selModel = (selModel===m.model? null : m.model); render(); };
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for (const col of COLS){
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const td = document.createElement("td"); if (col.l) td.className="l";
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const v = m[col.k];
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td.innerHTML = col.fmt ? col.fmt(v) : (v==null?"—":v);
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if ((col.k==="ptsPerMin" || col.k==="ptsPerRun" || col.k==="points") && v!=null) td.classList.add(v<0 ? "bad" : "good");
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if (col.k==="fpPen" && v<0) td.classList.add("bad");
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if (col.k==="solo" && v>0) td.classList.add("good");
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if (col.k==="fp" && v>0) td.classList.add("warn");
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tr.appendChild(td);
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}
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mb.appendChild(tr);
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}
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const tot = models.reduce((a,m)=>({runs:a.runs+m.runs, min:a.min+m.minutes, find:a.find+m.findings, conf:a.conf+m.confirmed, pts:a.pts+m.points}), {runs:0,min:0,find:0,conf:0,pts:0});
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document.getElementById("summary").innerHTML =
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`${models.length} models · ${tot.runs} runs · ${tot.min.toFixed(0)} min · ${tot.find} findings · ${tot.conf} confirmed · ${tot.pts.toFixed(0)} pts` +
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(selModel ? ` · <b>scoped to ${selModel}</b> <span class="pill" onclick="event.stopPropagation();selModel=null;render()">clear</span>` : "");
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// detail
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const det = selModel ? rows.filter(r=>r.model===selModel) : rows;
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const fb = document.getElementById("fbody"); fb.innerHTML = "";
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const cap = 1000;
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for (const r of det.slice(0, cap)){
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const tr = document.createElement("tr");
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const grade = !r.graded ? '<span class="mut">ungraded</span>'
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: (r.is_real ? `<span class="sev" style="background:${SEVCOLOR[r.severity]||'#333'}">${r.severity||'real'}</span>` : '<span class="bad">false-pos</span>');
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tr.innerHTML =
|
||
`<td class="l mut">${(r.reported_at||"").slice(0,10)}</td><td class="l">${esc(r.repo)}</td><td>${r.pr||""}</td>`+
|
||
`<td class="l">${esc(r.lens)}</td><td class="l">${esc(r.file)}${r.line?":"+r.line:""}</td>`+
|
||
`<td class="l">${esc(r.title)}</td><td class="l">${esc(r.model)}</td><td class="l">${grade}</td>`+
|
||
`<td class="l mut">${esc(r.grader||"")}</td>`;
|
||
fb.appendChild(tr);
|
||
}
|
||
document.getElementById("detcount").textContent =
|
||
`${det.length} finding-report${det.length===1?"":"s"}` + (det.length>cap?` (showing ${cap})`:"");
|
||
}
|
||
function esc(s){ return (s==null?"":String(s)).replace(/[&<>]/g, m=>({"&":"&","<":"<",">":">"}[m])); }
|
||
|
||
function resetFilters(){
|
||
for (const id of ["from","to","q"]) document.getElementById(id).value="";
|
||
for (const id of ["repo","provider","model","lens","grade"]) document.getElementById(id).value="";
|
||
selModel = null; render();
|
||
}
|
||
|
||
document.addEventListener("input", e=>{
|
||
if (e.target.closest("main")) render();
|
||
});
|
||
load();
|
||
</script>
|
||
</body>
|
||
</html>
|