thermograph/static/compare.js
Emi Griffith 428dfebe83 Compare: match-score ranking, tolerance range, fix Feels basis (#69)
Ranking by raw comfort% tied extreme places (Death Valley ranked #2 just
because 26% of days happened to land in-band). Replace it with a weighted
score that folds in tolerance days and miss magnitude, add an outer
tolerance range, and fix the Feels basis.

- Match score (0–100): each day scores full credit inside comfort [lo,hi],
  partial credit inside the tolerance range (ramped 1→0 by how far past the
  comfort edge it lands), zero beyond tolerance. Rank by the mean; tie-break
  by smaller typical miss. Death Valley's hot days now score ~0 so it drops
  to last. The score is the card's headline number.
- Tolerance range [tlo, thi] as an outer dual-thumb pair on the same track
  (four handles, tlo ≤ lo ≤ hi ≤ thi), persisted + in the share hash.
  Defaults to comfort widened 10° each side. The diverging bar now splits
  each side into a within-tolerance band (lighter, near centre) and a
  beyond-tolerance band (saturated), and the baseline strip shades the
  tolerance range faintly around the comfort band.
- Feels basis now judges the felt daytime high (fmax) instead of the
  combined `feels` metric, which reports whichever apparent extreme is
  furthest from 65°F — in mild climates that flips to the cold overnight
  low in winter and made comfortable days nearly vanish.
2026-07-12 00:25:36 +00:00

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// Compare view: line up several places over one date range and see which best
// fits a comfort temperature *range*. For each location we pull the same daily
// record the Calendar uses (api/v2/calendar) and, per day, take a chosen
// temperature (daytime high / daily mean / overnight low / feels-like) and test it
// against the comfort range [lo, hi]: inside the range "hits comfort"; below lo is
// colder, above hi is warmer, and we track by how much.
//
// Below the ranked cards a separate climate-distribution section shows how each
// place's days spread across a metric's Record-Low→Record-High categories (its own
// metric + share/count toggles), reusing the calendar's totals strip.
//
// The comparison — locations, comfort range, judged temperature and date range —
// lives in the URL hash, so a link reproduces exactly what you see. The range and
// judged-temperature re-rank instantly (all values are already in hand). Editing
// the date range or the location set doesn't refetch on its own: it arms the
// Refresh button, and the load runs when the user taps it.
import { loadLastLocation, saveLastLocation } from "./nav.js";
import { getJSON, TTL } from "./cache.js";
import { initFindButton } from "./mappicker.js";
import { MONTHS, pad, monthStart, monthEnd, buildChunks,
clickOpensPicker, metricBuckets, distStrip } from "./shared.js";
import { fmtTemp, fmtDelta, onUnitChange } from "./units.js";
const CMP = {
lo: "thermograph:cmpLo",
hi: "thermograph:cmpHi",
tlo: "thermograph:cmpTlo",
thi: "thermograph:cmpThi",
basis: "thermograph:cmpBasis",
range: "thermograph:cmpRange",
locs: "thermograph:cmpLocs",
distMetric: "thermograph:cmpDistMetric",
distCount: "thermograph:cmpDistCount",
};
const lsGet = (k) => { try { return localStorage.getItem(k); } catch (e) { return null; } };
const lsSet = (k, v) => { try { localStorage.setItem(k, v); } catch (e) {} };
const clamp = (v, lo, hi) => Math.min(hi, Math.max(lo, v));
const BASES = ["tmax", "tmin", "mean", "feels"];
const R_MIN = 30, R_MAX = 100; // comfort-range slider bounds (°F)
// The comfort range [lo, hi] in °F. Restored from the new lo/hi keys, else migrated
// from the old comfort-point + band (c ± t), else the default 6373° (was 68 ± 5).
function loadRange2() {
let lo = +lsGet(CMP.lo), hi = +lsGet(CMP.hi);
if (lo >= R_MIN && hi <= R_MAX && lo <= hi) return { lo, hi };
const c = +lsGet("thermograph:cmpComfort"), t = +lsGet("thermograph:cmpTol");
if (c >= R_MIN && c <= R_MAX && t >= 0) return { lo: clamp(c - t, R_MIN, R_MAX), hi: clamp(c + t, R_MIN, R_MAX) };
return { lo: 63, hi: 73 };
}
let { lo, hi } = loadRange2();
// Outer tolerance range [tlo, thi], with tlo ≤ lo ≤ hi ≤ thi. Days outside comfort
// but inside tolerance still count toward the match score (ramped by how far past
// comfort they land); days beyond tolerance count as a full miss. Restored from
// storage, else defaulting to comfort widened by 10° on each side.
function loadTol() {
const t = { tlo: +lsGet(CMP.tlo), thi: +lsGet(CMP.thi) };
if (t.tlo >= R_MIN && t.thi <= R_MAX && t.tlo <= lo && t.thi >= hi) return t;
return { tlo: clamp(lo - 10, R_MIN, R_MAX), thi: clamp(hi + 10, R_MIN, R_MAX) };
}
let { tlo, thi } = loadTol();
let basis = BASES.includes(lsGet(CMP.basis)) ? lsGet(CMP.basis) : "tmax";
// Distribution section (independent of comfort): which metric to bucket by, and
// whether the strip prints shares or raw day counts.
const DIST_METRICS = ["tmax", "tmin", "feels", "humid", "wind", "gust", "precip", "dsr"];
let distMetric = DIST_METRICS.includes(lsGet(CMP.distMetric)) ? lsGet(CMP.distMetric) : "tmax";
let distCount = lsGet(CMP.distCount) === "1";
// Locations being compared: {lat, lon, name, series|null, loading, error}.
// `series` is the array of raw daily records from /api/v2/calendar (each metric an
// {v, c, …} object) — the comfort ranking reads the values, the distribution the
// category classes. No series and not loading is "pending" — it needs a Refresh tap.
let locations = [];
// Bumped on every (re)load so a superseded in-flight fetch drops its result.
let loadToken = 0;
const BASIS_LABEL = { tmax: "daytime high", mean: "daily mean", tmin: "overnight low", feels: "feels-like high" };
// ---- date range (month granularity) ----
const isYM = (s) => typeof s === "string" && /^\d{4}-\d{2}$/.test(s);
function defaultRange() {
const now = new Date();
const s = new Date(now.getFullYear(), now.getMonth() - 11, 1); // last 12 whole months
return { start: `${s.getFullYear()}-${pad(s.getMonth() + 1)}`, end: `${now.getFullYear()}-${pad(now.getMonth() + 1)}` };
}
function loadRange() {
try { const o = JSON.parse(lsGet(CMP.range)); if (o && isYM(o.start) && isYM(o.end)) return o; } catch (e) {}
return defaultRange();
}
let range = loadRange(); // the APPLIED range (what loaded data reflects), "YYYY-MM"
// Pretty "Jul 2025 Jun 2026" for a YYYY-MM range.
const monthLabel = (ym) => `${MONTHS[+ym.slice(5, 7) - 1]} ${ym.slice(0, 4)}`;
// ---- shareable URL state ----
// The hash carries the comparison: lo/hi=comfort range, b=basis, s/e=range,
// loc=lat,lon;lat,lon. Written on every state change; read once on load (a link
// wins over localStorage). Old links used c=comfort + t=band; those still resolve
// (converted to a range). A plain lat/lon hash from cross-view nav is ignored here
// and handled by the seed path instead.
function writeHashState() {
const p = new URLSearchParams();
p.set("lo", lo); p.set("hi", hi); p.set("tlo", tlo); p.set("thi", thi); p.set("b", basis);
p.set("s", range.start); p.set("e", range.end);
if (locations.length) p.set("loc", locations.map((l) => `${l.lat.toFixed(4)},${l.lon.toFixed(4)}`).join(";"));
history.replaceState(null, "", "#" + p.toString());
}
function readHashState() {
const p = new URLSearchParams(location.hash.slice(1));
if (!["lo", "hi", "tlo", "thi", "c", "t", "b", "s", "e", "loc"].some((k) => p.has(k))) return null; // not a compare link
const st = {};
if (p.has("lo") || p.has("hi")) {
const l = clamp(+p.get("lo"), R_MIN, R_MAX), h = clamp(+p.get("hi"), R_MIN, R_MAX);
if (!isNaN(l) && !isNaN(h)) { st.lo = Math.min(l, h); st.hi = Math.max(l, h); }
} else if (p.has("c")) { // legacy comfort-point + band link
const c = clamp(+p.get("c") || 68, R_MIN, R_MAX);
const t = p.get("t") !== null && p.get("t") !== "" ? clamp(+p.get("t"), 0, 15) : 5;
st.lo = clamp(c - t, R_MIN, R_MAX); st.hi = clamp(c + t, R_MIN, R_MAX);
}
if (p.has("tlo") || p.has("thi")) {
const a = clamp(+p.get("tlo"), R_MIN, R_MAX), b = clamp(+p.get("thi"), R_MIN, R_MAX);
if (!isNaN(a)) st.tlo = a;
if (!isNaN(b)) st.thi = b;
}
if (BASES.includes(p.get("b"))) st.basis = p.get("b");
if (isYM(p.get("s"))) st.start = p.get("s");
if (isYM(p.get("e"))) st.end = p.get("e");
if (p.has("loc")) {
st.locs = p.get("loc").split(";").map((pair) => {
const [a, b] = pair.split(",").map(Number);
return { lat: a, lon: b };
}).filter((l) => !isNaN(l.lat) && !isNaN(l.lon));
}
return st;
}
// ---- elements ----
const addBtn = document.getElementById("cmp-add");
const refreshBtn = document.getElementById("cmp-refresh");
const locList = document.getElementById("cmp-loc-list");
const params = document.getElementById("cmp-params");
const placeholder = document.getElementById("cmp-placeholder");
const head = document.getElementById("cmp-head");
const baseline = document.getElementById("cmp-baseline");
const results = document.getElementById("cmp-results");
const loInput = document.getElementById("cmp-lo");
const hiInput = document.getElementById("cmp-hi");
const tloInput = document.getElementById("cmp-tlo");
const thiInput = document.getElementById("cmp-thi");
const rangeVal = document.getElementById("cmp-range-val");
const fillEl = document.getElementById("cmp-fill");
const fillTolEl = document.getElementById("cmp-fill-tol");
const basisToggle = document.getElementById("cmp-basis");
const startInput = document.getElementById("cmp-start");
const endInput = document.getElementById("cmp-end");
const distSection = document.getElementById("cmp-dist");
const distToggle = document.getElementById("cmp-dist-metric");
const distBody = document.getElementById("cmp-dist-body");
// ---- data ----
// Fetch one location's range (chunked), keeping the raw daily records — the comfort
// ranking reads their values, the distribution their category classes.
async function fetchSeries(loc, token) {
const chunks = buildChunks(monthStart(range.start), monthEnd(range.end));
const days = [];
let place = null;
for (const ch of chunks) {
const url = `api/v2/calendar?lat=${loc.lat}&lon=${loc.lon}&start=${ch.start}&end=${ch.end}`;
const d = await getJSON(url, TTL.calendar, true);
if (token !== loadToken) return null; // superseded
place = place || d.place || `${d.cell.center_lat.toFixed(2)}, ${d.cell.center_lon.toFixed(2)}`;
for (const r of d.days) days.push(r);
}
return { name: place, series: days };
}
function persistLocations() {
lsSet(CMP.locs, JSON.stringify(locations.map((l) => ({ lat: l.lat, lon: l.lon, name: l.name }))));
}
async function loadLocation(loc, token) {
loc.loading = true; loc.error = null;
renderAll();
try {
const res = await fetchSeries(loc, token);
if (!res || token !== loadToken) return; // superseded (a newer load owns this loc)
loc.name = res.name; loc.series = res.series;
} catch (e) {
if (token === loadToken) loc.error = e.message || "couldn't load";
}
if (token === loadToken) loc.loading = false;
persistLocations();
renderAll();
}
// Load every location that still needs data under the current range.
function loadPending(token) {
for (const loc of locations) if (!loc.series && !loc.loading) loadLocation(loc, token);
}
function addLocation(lat, lon) {
// Ignore a spot already on the list (same grid neighborhood).
if (locations.some((l) => Math.abs(l.lat - lat) < 0.05 && Math.abs(l.lon - lon) < 0.05)) return;
const loc = { lat, lon, name: null, series: null, loading: false, error: null };
locations.push(loc);
saveLastLocation(lat, lon);
persistLocations();
writeHashState();
renderAll(); // pending → the Refresh button appears; no fetch until it's tapped
resolveName(loc); // but resolve the neighborhood+city right away (before Refresh)
}
// Resolve just the place name for a freshly-added location, independent of its
// (deferred, heavier) series load, so the chip flips from coordinates to the
// neighborhood + city immediately on add. Best-effort — the series load resolves
// the name too, so a failure here is harmless.
async function resolveName(loc) {
try {
const res = await fetch(`api/v2/place?lat=${loc.lat}&lon=${loc.lon}`);
if (!res.ok) return;
const d = await res.json();
// Skip if the location was removed meanwhile, or already got named by a load.
if (!locations.includes(loc) || loc.name || !d || !d.place) return;
loc.name = d.place;
persistLocations();
renderAll();
} catch (e) { /* best-effort — the series load will still resolve the name */ }
}
function removeLocation(i) {
locations.splice(i, 1);
persistLocations();
writeHashState();
renderAll();
}
// ---- pending / refresh state ----
const dateChanged = () => startInput.value !== range.start || endInput.value !== range.end;
const isPending = (l) => !l.series && !l.loading && !l.error;
const isDirty = () => locations.length > 0 && (dateChanged() || locations.some(isPending));
// The Refresh tap: adopt any edited dates (which invalidates every series) and load
// whatever now needs data.
function refresh() {
let s = startInput.value || range.start, e = endInput.value || range.end;
if (!isYM(s) || !isYM(e)) return;
if (s > e) { const t = s; s = e; e = t; }
const rangeChanged = s !== range.start || e !== range.end;
range = { start: s, end: e };
startInput.value = s; endInput.value = e;
lsSet(CMP.range, JSON.stringify(range));
const token = ++loadToken;
if (rangeChanged) for (const loc of locations) loc.series = null;
writeHashState();
loadPending(token);
renderAll();
}
// ---- stats ----
// The judged temperature for one raw daily record, per the basis toggle.
function basisTemp(r) {
const hi = r.tmax ? r.tmax.v : null, lo = r.tmin ? r.tmin.v : null;
if (basis === "tmax") return hi;
if (basis === "tmin") return lo;
// "Feels" judges the felt daytime high (fmax) — the apparent-temperature peak of
// the day. The combined `feels` metric instead reports whichever apparent extreme
// is furthest from 65°F, so in mild climates it flips to the cold overnight low in
// winter and makes comfortable days vanish; fmax is the like-for-like daytime feel.
if (basis === "feels") return r.fmax ? r.fmax.v : null;
return hi != null && lo != null ? (hi + lo) / 2 : null; // mean
}
// A quantile (01) of an ascending-sorted array, linearly interpolated.
function quantile(sorted, q) {
if (!sorted.length) return null;
const i = (sorted.length - 1) * q, lo = Math.floor(i), hi = Math.ceil(i);
return lo === hi ? sorted[lo] : sorted[lo] + (sorted[hi] - sorted[lo]) * (i - lo);
}
// Score every day 01: full credit inside comfort [lo,hi]; inside tolerance it
// ramps 1→0 by how far past the comfort edge it lands (so a near miss beats a far
// one); beyond tolerance it's 0. The mean of those credits is the 0100 match
// score we rank on — it folds in comfort days, tolerance days, and miss magnitude.
function computeStats(series) {
let comf = 0, belowTol = 0, belowOut = 0, aboveTol = 0, aboveOut = 0;
let sumBelow = 0, sumAbove = 0, sumMiss = 0, sumTemp = 0, sumCredit = 0;
const temps = []; // every valid basis temp (°F), for the average + spread
for (const r of series) {
const t = basisTemp(r);
if (t == null || isNaN(t)) continue;
temps.push(t); sumTemp += t;
if (t >= lo && t <= hi) { comf++; sumCredit += 1; continue; }
const cold = t < lo;
const d = cold ? lo - t : t - hi; // degrees past the comfort edge
const margin = cold ? lo - tlo : thi - hi; // tolerance width on this side
sumMiss += d;
if (cold) sumBelow += d; else sumAbove += d;
if (margin > 0 && d <= margin) { // within tolerance: partial credit
sumCredit += 1 - d / margin;
if (cold) belowTol++; else aboveTol++;
} else { // beyond tolerance: a full miss
if (cold) belowOut++; else aboveOut++;
}
}
const n = temps.length;
if (!n) return null;
temps.sort((a, b) => a - b);
const below = belowTol + belowOut, above = aboveTol + aboveOut;
return {
n, comf, below, above, belowTol, belowOut, aboveTol, aboveOut,
score: 100 * sumCredit / n, // the match score we rank on
comfortPct: 100 * comf / n, belowPct: 100 * below / n, abovePct: 100 * above / n,
belowTolPct: 100 * belowTol / n, belowOutPct: 100 * belowOut / n,
aboveTolPct: 100 * aboveTol / n, aboveOutPct: 100 * aboveOut / n,
tolPct: 100 * (belowTol + aboveTol) / n,
avgBelow: below ? sumBelow / below : 0,
avgAbove: above ? sumAbove / above : 0,
mad: sumMiss / n,
// Baseline strip: the typical temperature (°F) and the middle-80% spread.
avgTemp: sumTemp / n, p10: quantile(temps, 0.1), p90: quantile(temps, 0.9),
};
}
// ---- render ----
const pct = (v) => `${v < 10 ? v.toFixed(1) : Math.round(v)}%`;
// Temperature *differences* (avg miss, typical miss) in the active unit.
const deg = (v) => fmtDelta(v);
function renderLocList() {
locList.innerHTML = locations.map((l, i) => {
let label, cls = "cmp-chip", lead = "";
// Coordinates show until the place name resolves. A spinning ring marks a live
// load; a "queued" dot marks a location waiting for the next Refresh tap. Once
// scored, l.name holds the resolved neighborhood + city.
const coords = `${l.lat.toFixed(2)}, ${l.lon.toFixed(2)}`;
if (l.loading) { label = l.name || coords; cls += " loading"; lead = `<span class="cmp-spinner cmp-spinner-chip" aria-hidden="true"></span>`; }
else if (l.error) { label = "Couldn't load"; cls += " error"; }
else if (!l.series) { label = l.name || coords; cls += " pending"; lead = `<span class="cmp-chip-dot" aria-hidden="true"></span>`; }
else { label = l.name; }
return `<li class="${cls}">${lead}<span class="cmp-chip-name">${label}</span>` +
`<button type="button" class="cmp-chip-x" data-i="${i}" aria-label="Remove ${label}">&times;</button></li>`;
}).join("");
}
// A ranked place: the 0100 match score up top, then a diverging bar whose colder
// days grow left of a fixed center (the comfort zone) and warmer days grow right.
// Each side is split into a tolerance band (lighter, nearest the center) and a
// beyond-tolerance band (saturated, further out), so how far a place misses — not
// just how often — is visible, and a cold place and a hot one mirror each other.
function rankCard(loc, s, rank) {
const win = rank === 1;
const seg = (cls, w) => (w > 0 ? `<span class="cmp-dv-seg ${cls}" style="width:${w}%"></span>` : "");
const bar = `<div class="cmp-dv" role="img" aria-label="match score ${Math.round(s.score)} of 100; ${pct(s.belowPct)} colder, ${pct(s.comfortPct)} in comfort, ${pct(s.abovePct)} warmer">` +
`<div class="cmp-dv-side cmp-dv-left">${seg("cmp-seg-cold", s.belowOutPct)}${seg("cmp-seg-cool", s.belowTolPct)}</div>` +
`<span class="cmp-dv-mid" aria-hidden="true"></span>` +
`<div class="cmp-dv-side cmp-dv-right">${seg("cmp-seg-warm", s.aboveTolPct)}${seg("cmp-seg-hot", s.aboveOutPct)}</div></div>`;
const cap =
`<div class="cmp-dv-cap">` +
`<span class="cmp-cap cmp-cap-below">${pct(s.belowPct)} colder${s.below ? ` · avg ${deg(s.avgBelow)} under` : ""}</span>` +
`<span class="cmp-cap cmp-cap-above">${s.above ? `avg ${deg(s.avgAbove)} over · ` : ""}${pct(s.abovePct)} warmer</span>` +
`</div>`;
const bands = `<div class="cmp-bands">${pct(s.comfortPct)} in comfort · ${pct(s.tolPct)} in tolerance · typically off by <b>${deg(s.mad)}</b></div>`;
const sub = win ? `<span class="cmp-best">★ Best match</span> · ${s.n} days` : `${s.n} days`;
return `<div class="cmp-card${win ? " cmp-win" : ""}">` +
`<div class="cmp-card-top">` +
`<span class="cmp-rank">${rank}</span>` +
`<div class="cmp-card-name"><span class="cmp-name">${loc.name}</span><span class="cmp-daycount">${sub}</span></div>` +
`<div class="cmp-big"><b>${Math.round(s.score)}</b><span>match / 100</span></div>` +
`</div>` +
bar + cap + bands +
`</div>`;
}
// A placeholder card shown while a location's data is still streaming in, so the
// results don't jump when it resolves. Animated by CSS (.cmp-skel).
const skeletonRow = () => `<div class="cmp-card cmp-skel" aria-hidden="true">` +
`<div class="cmp-skel-top"><span class="cmp-skel-badge"></span>` +
`<span class="cmp-skel-name"></span><span class="cmp-skel-big"></span></div>` +
`<div class="cmp-skel-bar"></div></div>`;
// Baseline strip: every place's typical basis temperature on one shared °F axis,
// with the comfort range shaded, so the places' baselines line up for direct
// comparison. Each row shows the average (dot) and the middle-80% spread (bar),
// colored by where the average sits relative to the comfort range.
function renderBaseline(scored) {
if (!scored.length) { baseline.hidden = true; baseline.innerHTML = ""; return; }
let min = Math.min(lo, tlo), max = Math.max(hi, thi);
for (const { s } of scored) { min = Math.min(min, s.p10); max = Math.max(max, s.p90); }
const pad = Math.max(3, (max - min) * 0.06); // keep markers off the edges
min -= pad; max += pad;
const span = max - min || 1;
const posF = (v) => clamp((v - min) / span * 100, 0, 100);
const bandL = posF(lo), bandR = posF(hi), tolL = posF(tlo), tolR = posF(thi);
const posClass = (t) => (t < lo ? "cmp-below" : t > hi ? "cmp-above" : "cmp-comfort");
const rows = scored.map(({ loc, s }) => {
const cls = posClass(s.avgTemp), a = posF(s.avgTemp);
return `<div class="cmp-bl-row">` +
`<span class="cmp-bl-name">${loc.name}</span>` +
`<div class="cmp-bl-track" role="img" aria-label="${loc.name}: average ${fmtTemp(s.avgTemp)}, typical ${fmtTemp(s.p10)} to ${fmtTemp(s.p90)}">` +
`<span class="cmp-bl-tol" style="left:${tolL}%;right:${100 - tolR}%"></span>` +
`<span class="cmp-bl-band" style="left:${bandL}%;right:${100 - bandR}%"></span>` +
`<span class="cmp-bl-spread ${cls}" style="left:${posF(s.p10)}%;right:${100 - posF(s.p90)}%"></span>` +
`<span class="cmp-bl-dot ${cls}" style="left:${a}%"></span>` +
`<span class="cmp-bl-val" style="left:${a}%">${fmtTemp(s.avgTemp)}</span>` +
`</div></div>`;
}).join("");
baseline.hidden = false;
baseline.innerHTML =
`<div class="cmp-bl-head">Typical temperature by place ` +
`<span class="hint">dot = average · bar = middle-80% of days · shaded = comfort, faint = tolerance</span></div>` +
`<div class="cmp-bl-rows">${rows}</div>` +
`<div class="cmp-bl-axis"><span>${fmtTemp(min)}</span><span>${fmtTemp((min + max) / 2)}</span><span>${fmtTemp(max)}</span></div>`;
}
function renderResults() {
const loading = locations.filter((l) => l.loading).length;
const scored = locations
.map((l) => ({ loc: l, s: l.series ? computeStats(l.series) : null }))
.filter((x) => x.s);
// Best match score first; break ties by the smaller typical miss.
scored.sort((a, b) => (b.s.score - a.s.score) || (a.s.mad - b.s.mad));
renderBaseline(scored);
if (!scored.length) {
head.hidden = true;
results.innerHTML = loading
? `<p class="cmp-loading"><span class="cmp-spinner"></span>Loading daily weather…</p>` +
Array.from({ length: Math.min(loading, 3) }, skeletonRow).join("")
: "";
return;
}
// Headline: the winner + the parameters it was judged under.
const win = scored[0];
const span = `${monthLabel(range.start)} ${monthLabel(range.end)}`;
const lead = scored.length > 1
? `<b>${win.loc.name}</b> is the best match for ${fmtTemp(lo)}${fmtTemp(hi)} — score ${Math.round(win.s.score)}/100`
: `<b>${win.loc.name}</b>: match score ${Math.round(win.s.score)}/100 for ${fmtTemp(lo)}${fmtTemp(hi)}`;
head.hidden = false;
head.innerHTML = `<h2>${lead}</h2>` +
`<p class="meta">By ${BASIS_LABEL[basis]} · comfort ${fmtTemp(lo)}${fmtTemp(hi)}, tolerance ${fmtTemp(tlo)}${fmtTemp(thi)} · ${span}` +
`${loading ? ` · <span class="cmp-loading-inline"><span class="cmp-spinner"></span>loading ${loading} more…</span>` : ""}</p>`;
results.innerHTML = scored.map((x, i) => rankCard(x.loc, x.s, i + 1)).join("") +
(loading ? Array.from({ length: loading }, skeletonRow).join("") : "");
}
// ---- distribution (independent of the comfort filter) ----
// One calendar-style Record-Low→Record-High strip per loaded location for the
// selected metric; the share/count toggle flips every figure. The categories are
// percentiles, so the strip is unit-agnostic (no re-render on °C/°F).
function renderDist() {
const withData = locations.filter((l) => l.series && l.series.length);
if (!withData.length) { distSection.hidden = true; distBody.innerHTML = ""; return; }
distBody.innerHTML = withData.map((l) => {
const buckets = metricBuckets(l.series, distMetric);
const total = buckets.reduce((n, b) => n + b[2], 0);
const name = l.name || `${l.lat.toFixed(2)}, ${l.lon.toFixed(2)}`;
const strip = total ? distStrip(buckets, distCount) : `<p class="muted">No data for this metric.</p>`;
return `<div class="cmp-dist-row">` +
`<div class="cmp-dist-name">${name}<span class="cmp-dist-days">${total.toLocaleString()} days</span></div>` +
strip + `</div>`;
}).join("");
distSection.hidden = false;
}
function renderAll() {
const has = locations.length > 0;
params.hidden = !has;
placeholder.hidden = has;
addBtn.querySelector("span").textContent = has ? "Add another location" : "Add location";
refreshBtn.hidden = !isDirty();
renderLocList();
renderResults();
renderDist();
}
// ---- events ----
initFindButton(addBtn, "Add location",
() => (locations.length ? locations[locations.length - 1] : loadLastLocation()),
(lat, lon) => addLocation(lat, lon));
refreshBtn.addEventListener("click", refresh);
locList.addEventListener("click", (e) => {
const x = e.target.closest(".cmp-chip-x");
if (x) removeLocation(+x.dataset.i);
});
// ---- comfort range slicer ----
// Two range inputs overlaid on a shared track; keep lo ≤ hi and mirror the selection
// in the label + fill. State stays in °F; the range re-ranks instantly (no refetch).
const pctPos = (v) => (v - R_MIN) / (R_MAX - R_MIN) * 100;
function syncSlicer() {
tloInput.value = tlo; loInput.value = lo; hiInput.value = hi; thiInput.value = thi;
rangeVal.textContent = `${fmtTemp(lo)}${fmtTemp(hi)} · tolerance ${fmtTemp(tlo)}${fmtTemp(thi)}`;
fillEl.style.left = `${pctPos(lo)}%`;
fillEl.style.right = `${100 - pctPos(hi)}%`;
fillTolEl.style.left = `${pctPos(tlo)}%`;
fillTolEl.style.right = `${100 - pctPos(thi)}%`;
}
function slicerChanged() {
lsSet(CMP.lo, String(lo)); lsSet(CMP.hi, String(hi));
lsSet(CMP.tlo, String(tlo)); lsSet(CMP.thi, String(thi));
syncSlicer();
writeHashState();
renderResults(); // the distribution is comfort-independent — no need to touch it
}
// Comfort thumbs stay inside the tolerance thumbs; tolerance thumbs stay outside
// comfort — so the four handles can never cross (tlo ≤ lo ≤ hi ≤ thi).
loInput.addEventListener("input", () => { lo = clamp(+loInput.value, tlo, hi); slicerChanged(); });
hiInput.addEventListener("input", () => { hi = clamp(+hiInput.value, lo, thi); slicerChanged(); });
tloInput.addEventListener("input", () => { tlo = Math.min(+tloInput.value, lo); slicerChanged(); });
thiInput.addEventListener("input", () => { thi = Math.max(+thiInput.value, hi); slicerChanged(); });
// The °F/°C toggle only flips what's shown — the range and series stay in °F (the
// API's unit) — so just re-render the range label and the cards. (The distribution
// strip is percentile categories, so units don't affect it.)
onUnitChange(() => { syncSlicer(); renderResults(); });
// Distribution: its own metric selector + share/count toggle, re-rendering in place.
distToggle.addEventListener("click", (e) => {
const btn = e.target.closest("button[data-metric]");
if (!btn) return;
distMetric = btn.dataset.metric;
lsSet(CMP.distMetric, distMetric);
distToggle.querySelectorAll("button").forEach((b) => b.classList.toggle("active", b === btn));
renderDist();
});
distSection.addEventListener("change", (e) => {
if (!e.target.closest("#cmp-dist-count")) return;
distCount = e.target.checked;
lsSet(CMP.distCount, distCount ? "1" : "0");
renderDist();
});
// Basis: instant re-rank over data already in hand — no refetch.
basisToggle.addEventListener("click", (e) => {
const btn = e.target.closest("button[data-basis]");
if (!btn) return;
basis = btn.dataset.basis;
lsSet(CMP.basis, basis);
basisToggle.querySelectorAll("button").forEach((b) => b.classList.toggle("active", b === btn));
writeHashState();
renderResults();
});
// Editing the dates doesn't load — it just arms Refresh (re-eval via renderAll).
startInput.max = endInput.max = `${new Date().getFullYear()}-12`;
startInput.addEventListener("change", renderAll);
endInput.addEventListener("change", renderAll);
clickOpensPicker(startInput, endInput); // whole-field tap opens the month picker
// ---- init ----
(function restore() {
const hash = readHashState();
if (hash) {
if (hash.lo != null) lo = hash.lo;
if (hash.hi != null) hi = hash.hi;
if (hash.tlo != null) tlo = hash.tlo;
if (hash.thi != null) thi = hash.thi;
if (hash.basis) basis = hash.basis;
if (hash.start && hash.end) range = { start: hash.start, end: hash.end };
}
// Keep comfort ordered and inside tolerance even if a hand-edited link isn't.
if (lo > hi) { const t = lo; lo = hi; hi = t; }
tlo = Math.min(tlo, lo); thi = Math.max(thi, hi);
syncSlicer();
basisToggle.querySelectorAll("button").forEach((b) => b.classList.toggle("active", b.dataset.basis === basis));
distToggle.querySelectorAll("button").forEach((b) => b.classList.toggle("active", b.dataset.metric === distMetric));
document.getElementById("cmp-dist-count").checked = distCount;
startInput.value = range.start; endInput.value = range.end;
// A shared link's locations win; else the last-used set; else seed from the spot
// the other views were on so the page isn't empty. All three auto-load on arrival
// (the tap-to-refresh rule is for later interactive edits, not the initial view).
let list = hash && hash.locs;
if (!list) { try { const saved = JSON.parse(lsGet(CMP.locs)); if (Array.isArray(saved)) list = saved; } catch (e) {} }
if (!list || !list.length) { const last = loadLastLocation(); list = last ? [{ lat: last.lat, lon: last.lon }] : []; }
locations = list
.filter((l) => l && typeof l.lat === "number" && typeof l.lon === "number")
.map((l) => ({ lat: l.lat, lon: l.lon, name: l.name || null, series: null, loading: false, error: null }));
writeHashState();
const token = ++loadToken;
loadPending(token);
renderAll();
})();