[{"_1":2,"_3":-5,"_4":-5},"loaderData",{"_5":6,"_7":8,"_9":10},"actionData","errors","root",{"_282":283,"_284":285},"routes/_app.x.$handle.$name",{"_100":99,"_31":44,"_109":90,"_26":110,"_13":14,"_111":-5,"_11":112,"_113":114,"_115":116,"_117":118,"_119":120,"_20":-5,"_121":-5,"_122":-5,"_123":24,"_124":125,"_126":24,"_127":-5,"_128":-5,"_129":130},"routes/_app.x.$handle.$name.branch.$branch.version.$version.diff",{"_11":12,"_13":14,"_15":16,"_17":-5,"_18":-5},"project",{"_42":43,"_31":44,"_37":45,"_46":-5,"_47":24,"_48":49,"_50":49,"_51":52,"_53":54,"_18":55,"_56":57,"_58":59,"_60":-5,"_61":-5,"_62":63,"_64":65,"_66":67,"_68":69,"_70":71,"_72":-5,"_73":74,"_75":74,"_76":77,"_78":77,"_79":77,"_80":74,"_81":74,"_82":83,"_84":85,"_86":87,"_88":24},"version",14,"changes",[19],"aiChatInfo","userId",{"_20":21,"_22":-7,"_23":24,"_25":24,"_26":27,"_28":27},"file",{"_29":30,"_31":32,"_33":34,"_35":36,"_37":38,"_39":14,"_40":41,"_23":24},"previous","deleted",false,"deletedHere","path","src/ui/from-check-record.ts","latestPath","fileId","ef63417c-a7bd-11f1-b229-1607ee4eb77e","name","from-check-record.ts","fileType","script","content","import {\n type CheckRecord,\n PUBLIC_CHECK_UNAVAILABLE,\n PUBLIC_RATE_LIMITED_ERROR_CODE,\n} from 'npm:@canonry/val-kit@0.1.0/jobs'\nimport type {\n PerceptionEvidence,\n PerceptionReport,\n PerceptionVerdict,\n SourceType,\n} from 'npm:@canonry/val-kit@0.1.0/perception'\nimport type { PerceptionCheckResult } from '../runtime/check-result.ts'\nimport type {\n BrandPerceptionViewModel,\n CheckFormViewModel,\n PerceptionAnswerViewModel,\n PerceptionViewModel,\n UiTone,\n VerdictCountViewModel,\n} from './types.ts'\n\nexport interface CheckRecordViewOptions {\n form?: CheckFormViewModel\n displayName?: string\n title?: string\n}\n\nconst LOCAL_READY_FORM: CheckFormViewModel = {\n action: '/check',\n method: 'post',\n verificationFieldName: 'cf-turnstile-response',\n verificationStatus: 'not-required',\n submitLabel: 'Check a brand',\n}\n\n/**\n * The verdict vocabulary, written once.\n *\n * `none` is a POSITION — the answer described the brand and took none — so it\n * gets a neutral tone and a label that says what happened, never \"no data\".\n * `null` is the absence of a measurement and is handled separately, because\n * collapsing the two would turn an outage into a finding.\n */\nconst VERDICT_COPY: Readonly> = {\n recommends: { label: 'Recommends', tone: 'positive' },\n cautions: { label: 'Cautions', tone: 'negative' },\n mixed: { label: 'Mixed', tone: 'caution' },\n none: { label: 'Took no position', tone: 'neutral' },\n}\n\n/** What KIND of place, in the reader's words. Never \"where opinions come from\". */\nconst SOURCE_TYPE_LABELS: Readonly> = {\n official: 'The brand’s own site',\n community: 'Community',\n review: 'Review site',\n news: 'News',\n other: 'Other',\n}\n\n/**\n * Converts a sanitized, durable public-check record into the narrow UI model.\n * It deliberately never turns an unmeasured answer into a neutral verdict.\n */\nexport function toBrandPerceptionViewModel(\n record: CheckRecord | null,\n options: CheckRecordViewOptions = {},\n): BrandPerceptionViewModel {\n const domain = record?.domain ?? ''\n const result = record?.result ?? null\n const status = record ? mapStatus(record) : 'empty'\n const resultDomain = result?.domain || domain\n\n return {\n status,\n title: options.title,\n displayName: options.displayName ?? nameFromDomain(resultDomain || 'Brand'),\n domain: resultDomain,\n form: { ...LOCAL_READY_FORM, ...options.form },\n perception: result?.perception ? mapPerception(result.perception) : undefined,\n notice: buildNotice(record, result),\n }\n}\n\n/**\n * Did anything in this check actually fail?\n *\n * `record.status` is decided once, when the check runs, and stored, which makes\n * it the wrong thing to warn a reader off: correcting the rule behind it never\n * reaches a record already written, so a shared link keeps showing the old\n * verdict for its whole 24h life. The evidence is right here in the result, so\n * read it instead of the flag.\n */\nfunction hasFailedWork(record: CheckRecord): boolean {\n const result = record.result\n if (!result) return false\n if (result.errors.length > 0) return true\n return (result.perception?.evidence ?? []).some((row) => row.verdict === null)\n}\n\nfunction mapStatus(record: CheckRecord): BrandPerceptionViewModel['status'] {\n if (record.errorCode === PUBLIC_RATE_LIMITED_ERROR_CODE) return 'rate-limited'\n switch (record.status) {\n case 'queued':\n case 'running':\n return 'loading'\n case 'partial':\n // A stored `partial` is only worth a caution when something in the result\n // actually failed. See `hasFailedWork`.\n return hasFailedWork(record) ? 'partial' : 'ready'\n case 'failed':\n return 'error'\n case 'complete':\n return 'ready'\n }\n}\n\nfunction mapPerception(report: PerceptionReport): PerceptionViewModel {\n const failed = report.summary.failedChecks\n const sourceTypes = report.summary.sourceTypes\n return {\n requestedAt: report.startedAt,\n checkedAt: report.completedAt,\n measuredAnswers: report.summary.successfulChecks,\n requestedAnswers: report.evidence.length,\n failedAnswers: failed,\n // Fixed order, so the row reads the same on every check and a count that\n // happens to be zero keeps its column rather than shuffling the others.\n verdicts: (['recommends', 'cautions', 'mixed', 'none'] as const).map((key): VerdictCountViewModel => ({\n key,\n label: VERDICT_COPY[key].label,\n tone: VERDICT_COPY[key].tone,\n count: report.summary.verdicts[key],\n })),\n concerns: report.summary.concerns.map((concern) => ({ phrase: concern.phrase, answers: concern.answers })),\n // Percentages round for display only; the shares they come from sum to 1.\n sourceTypes: sourceTypes\n ? {\n measuredAnswers: sourceTypes.measuredAnswers,\n unattributedAnswers: sourceTypes.unattributedAnswers,\n totalAppearances: sourceTypes.totalAppearances,\n entries: sourceTypes.entries.map((entry) => ({\n type: entry.type,\n label: SOURCE_TYPE_LABELS[entry.type],\n answers: entry.answers,\n percent: Math.round(entry.share * 100),\n })),\n }\n : undefined,\n answers: report.evidence.map(mapAnswer),\n notice: failed > 0\n ? {\n tone: 'caution',\n title: `${failed} ${failed === 1 ? 'answer' : 'answers'} unavailable`,\n // The reason leads, because that is what a row reading \"Not measured\"\n // makes someone ask. It is only stated when the failures agree on one;\n // with several the banner would have to pick one and be wrong about the\n // rest, so it defers to the per-row evidence instead.\n detail: `${failureReason(report.evidence) ?? ''}Every count uses the answers that were measured.`,\n }\n : undefined,\n }\n}\n\n/** The one reason every unmeasured answer shares, or null when they disagree. */\nfunction failureReason(evidence: readonly PerceptionEvidence[]): string | null {\n const reasons = new Set(\n evidence.filter((row) => row.verdict === null)\n .map((row) => row.error)\n // The generic sentence is the ABSENCE of a reason. Leading with it\n // produces \"1 answer unavailable. This answer-engine check was\n // unavailable.\" — the banner restating its own title.\n .filter((error): error is string => Boolean(error) && error !== PUBLIC_CHECK_UNAVAILABLE),\n )\n if (reasons.size !== 1) return null\n const [reason] = [...reasons]\n return reason ? `${reason} ` : null\n}\n\nfunction mapAnswer(row: PerceptionEvidence): PerceptionAnswerViewModel {\n const copy = row.verdict === null ? null : VERDICT_COPY[row.verdict]\n return {\n id: `${row.provider}:${row.query}:${row.completedAt}`,\n query: row.query,\n verdict: row.verdict,\n verdictLabel: copy?.label ?? 'Not measured',\n verdictTone: copy?.tone ?? 'neutral',\n // The answer's own first sentence, or nothing. A verdict of 'none' carries\n // no evidence by construction, and inventing a line to fill the cell would\n // put words in an answer that did not write them.\n headline: row.evidenceSentences[0] ?? null,\n evidenceSentences: row.evidenceSentences,\n concerns: row.concerns,\n sources: row.sources.map((source) => ({\n url: source.url,\n title: source.title,\n domain: source.domain,\n typeLabel: SOURCE_TYPE_LABELS[source.type],\n })),\n searchQueries: row.searchQueries,\n answerText: row.answerText,\n requestedModel: row.requestedModel,\n servedModel: row.servedModel,\n completedAt: row.completedAt,\n error: row.error,\n }\n}\n\nfunction buildNotice(\n record: CheckRecord | null,\n result: PerceptionCheckResult | null,\n): BrandPerceptionViewModel['notice'] {\n if (!record) return undefined\n if (record.errorCode === PUBLIC_RATE_LIMITED_ERROR_CODE) {\n return {\n tone: 'caution',\n title: 'Check limit reached',\n detail: record.errorMessage ?? 'This public sample has reached its current limit. Try again later.',\n }\n }\n if (record.status === 'failed') {\n return {\n tone: 'negative',\n title: 'This check could not finish',\n detail: result?.errors[0]?.message ?? record.errorMessage ?? 'Try another public domain later.',\n }\n }\n const first = result?.errors[0]\n if (first) return { tone: 'caution', title: 'Brand perception was unavailable', detail: first.message }\n return undefined\n}\n\nfunction nameFromDomain(domain: string): string {\n const host = domain.replace(/^www\\./i, '').split('.')[0] ?? domain\n return host\n .replace(/[-_]+/g, ' ')\n .replace(/\\b\\w/g, (letter) => letter.toUpperCase())\n}\n\n/**\n * The landing view, shown before anything has been checked.\n *\n * It carries no `perception` because nothing has been measured yet. A fixture\n * here would be read as measurement by anyone who scrolled past the badge that\n * qualified it — and a fabricated verdict about a real brand is a worse lie\n * than a fabricated percentage. An empty state is the honest thing to show when\n * the answer is \"nothing yet\".\n */\nexport function emptyLandingViewModel(form: CheckFormViewModel): BrandPerceptionViewModel {\n return {\n status: 'empty',\n title: 'Brand Perception Check',\n displayName: 'Check a brand',\n domain: '',\n form,\n }\n}\n","createdAt",["D",1788456963121],"branchVersion","branchId","0ff5a62c-67cf-45f9-85df-c272daf0a6a9","id","801445f4-c67d-433d-af43-92af47fb72c9","Brand-Perception-Check",["D",1788456812405],"deletedAt","legacyEnvVars","privacy","public","httpPrivacy","description","What AI engines say about a brand. 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See what an AI answer engine says about your brand when someone asks it directly.\n\nFree. No signup. About 45 seconds.\n\n## What you get\n\nThree questions people actually type — \"is X legit?\", \"X reviews\", \"what are the complaints about X?\" — put to an\nanswer engine, and for each one:\n\n| | |\n|---|---|\n| **The verdict** | Recommends, cautions, mixed, or took no position. |\n| **The sentences behind it** | Copied out of the answer word for word. Never a paraphrase. |\n| **The concerns** | Short phrases the answer itself raises as drawbacks. |\n| **The sources** | What the engine attributed, by kind: the brand's own site, community, review site, news, other. |\n\nNo sentiment score. Nothing here measures feeling, so nothing here pretends to. You get what the answer said and the\nline it said it in.\n\nAn answer that took no position says so. An answer the check could not measure says that instead, and is left out of\nevery count rather than scored as a zero.\n\n## This is not a visibility check\n\nEvery question here names your brand, so the engine was always going to talk about you. The finding is what it SAID.\n\nWhether AI mentions you at all, on questions that do not name you, is a different measurement —\n[AI Visibility Check](https://github.com/Canonry/canonry) is the tool for that. The two numbers are never comparable.\n\n## MCP\n\nThis is also an MCP server. No API key.\n\n```json\n{ \"mcpServers\": { \"brand-perception-check\": { \"url\": \"https:///mcp\" } } }\n```\n\nTools: `start_check`, `get_check`, `get_brand_perception`, `self_host`, `read_skill`.\n\nThe Canonry and Aero analyst playbooks are served as MCP resources.\n\n## Limits\n\n- One engine (Gemini)\n- Three branded questions\n- One snapshot. No history, no tracking, no alerts\n\n## Canonry\n\nCanonry is the open source platform this samples. It runs on your own machine.\n\n```sh\nnpm install -g @canonry/canonry\ncanonry init\n```\n\nFour answer engines. Unlimited questions on a schedule. History, so you can watch a concern appear, spread, or go away.\nNon-brand tracking, competitor share, whole-site audits, and joins to Search Console, GA4, and Bing.\n\n[github.com/Canonry/canonry](https://github.com/Canonry/canonry) · [canonry.ai](https://canonry.ai)\n",[147],"74e5c8ce-cbc0-41a1-bf72-c9442a5356ee","CLAUDE.md","ef242aaa-a7bd-11f1-a3ef-1607ee4eb77e",9,["D",1788456962784],"@AGENTS.md\n",[154],"e1045a33-7bae-4ab3-b9ef-aeaf172196ca",".vtignore","ef08ebe6-a7bd-11f1-a3ef-1607ee4eb77e",8,["D",1788456962608],".env\n.env.*\ncoverage/\nnode_modules/\ndeno.dev.json\ndeno.dev.lock\ntest/\n",[161],"c1a9a2b8-0174-4415-b76e-49d63d23fbdd","src","edf99f8e-a7bd-11f1-a791-1607ee4eb77e",1,["D",1788456960824],"directory",[168],"pulls","branches","forks","envVars",{"_181":183,"_184":63},"connections",{"_181":63,"_182":63},"count","unfilledCount",5,"emptyCount",{"_42":167,"_31":168,"_29":169,"_139":-5,"_40":41,"_39":170,"_141":59,"_37":274,"_13":63,"_33":172,"_35":-5,"_23":24,"_144":-5,"_200":275,"_26":276},{"_42":267,"_31":268,"_29":269,"_139":169,"_40":41,"_39":270,"_141":59,"_37":271,"_13":63,"_33":172,"_35":-5,"_23":24,"_144":-5,"_200":272,"_26":273},{"_42":260,"_31":261,"_29":262,"_139":169,"_40":41,"_39":263,"_141":59,"_37":264,"_13":63,"_33":172,"_35":-5,"_23":24,"_144":-5,"_200":265,"_26":266},{"_42":254,"_31":255,"_29":256,"_139":169,"_40":41,"_39":183,"_141":59,"_37":257,"_13":63,"_33":172,"_35":-5,"_23":24,"_144":-5,"_200":258,"_26":259},{"_42":247,"_31":248,"_29":249,"_139":169,"_40":41,"_39":250,"_141":59,"_37":251,"_13":63,"_33":172,"_35":-5,"_23":24,"_144":-5,"_200":252,"_26":253},{"_42":242,"_31":221,"_29":215,"_139":169,"_40":41,"_39":243,"_141":59,"_37":244,"_13":63,"_33":172,"_35":-5,"_23":24,"_144":-5,"_200":245,"_26":246},{"_42":234,"_31":235,"_29":236,"_139":215,"_40":41,"_39":237,"_141":24,"_37":238,"_13":63,"_33":34,"_35":239,"_23":24,"_144":-5,"_200":240,"_26":241},{"_42":230,"_31":32,"_29":30,"_139":215,"_40":41,"_39":14,"_141":24,"_37":231,"_13":63,"_33":34,"_35":36,"_23":24,"_144":-5,"_200":232,"_26":233},{"_42":222,"_31":223,"_29":224,"_139":215,"_40":41,"_39":225,"_141":24,"_37":226,"_13":63,"_33":34,"_35":227,"_23":24,"_144":-5,"_200":228,"_26":229},{"_42":212,"_31":213,"_29":214,"_139":215,"_40":41,"_39":216,"_141":24,"_37":217,"_13":63,"_33":34,"_35":218,"_23":24,"_144":-5,"_200":219,"_26":220},{"_42":160,"_31":161,"_29":162,"_139":-5,"_40":41,"_39":163,"_141":59,"_37":209,"_13":63,"_33":20,"_35":165,"_23":24,"_144":-5,"_200":210,"_26":211},{"_42":153,"_31":154,"_29":155,"_139":-5,"_40":41,"_39":156,"_141":59,"_37":206,"_13":63,"_33":20,"_35":158,"_23":24,"_144":-5,"_200":207,"_26":208},{"_42":146,"_31":147,"_29":148,"_139":-5,"_40":41,"_39":149,"_141":59,"_37":203,"_13":63,"_33":20,"_35":151,"_23":24,"_144":-5,"_200":204,"_26":205},{"_42":136,"_31":137,"_29":138,"_139":-5,"_40":41,"_39":140,"_141":59,"_37":199,"_13":63,"_33":20,"_35":143,"_23":24,"_144":-5,"_200":201,"_26":202},["D",1788456961593],"children",[],[137],["D",1788456961584],[],[147],["D",1788456962784],[],[154],["D",1788456962608],[],[161],"b265a6f7-5c9c-4949-8def-e8960ba45637","types.ts","ef5474e4-a7bd-11f1-b510-1607ee4eb77e","ee10eef0-a7bd-11f1-a791-1607ee4eb77e",13,["D",1788456963089],"/**\n * The public Val Town page consumes this intentionally small, serializable view\n * model. The runtime maps normalized check records into it; this layer never\n * reads secrets, provider payloads, or storage directly.\n */\nimport type { PerceptionVerdict, SourceType } from 'npm:@canonry/val-kit@0.1.0/perception'\n\nexport type DemoUiStatus =\n | 'ready'\n | 'loading'\n | 'partial'\n | 'error'\n | 'rate-limited'\n | 'empty'\n\nexport type UiTone = 'neutral' | 'positive' | 'caution' | 'negative'\n\nexport interface UiAction {\n label: string\n href?: string\n}\n\nexport interface UiNotice {\n title: string\n detail: string\n tone: UiTone\n action?: UiAction\n}\n\nexport interface PerceptionSourceViewModel {\n url: string\n title: string | null\n /** Null when the engine handed back an opaque redirect it could not attribute. */\n domain: string | null\n typeLabel: string\n}\n\nexport interface PerceptionAnswerViewModel {\n id: string\n query: string\n /** Null is unmeasured, never 'none'. 'none' is a position the answer took. */\n verdict: PerceptionVerdict | null\n verdictLabel: string\n verdictTone: UiTone\n /** The first verified sentence, or null when there is none to quote. */\n headline: string | null\n evidenceSentences: readonly string[]\n concerns: readonly string[]\n sources: readonly PerceptionSourceViewModel[]\n searchQueries: readonly string[]\n answerText: string | null\n requestedModel?: string | null\n servedModel?: string | null\n completedAt?: string | null\n /** Why this answer was not measured. Null when it was. */\n error: string | null\n}\n\nexport interface VerdictCountViewModel {\n key: PerceptionVerdict\n label: string\n count: number\n tone: UiTone\n}\n\nexport interface ConcernViewModel {\n phrase: string\n answers: number\n}\n\nexport interface SourceTypeEntryViewModel {\n type: SourceType\n label: string\n answers: number\n /** 0..100, already rounded for display. */\n percent: number\n}\n\nexport interface SourceTypeViewModel {\n measuredAnswers: number\n unattributedAnswers: number\n totalAppearances: number\n entries: readonly SourceTypeEntryViewModel[]\n}\n\nexport interface PerceptionViewModel {\n checkedAt?: string | null\n requestedAt?: string | null\n /** Checks that produced a verdict. The denominator of every count below. */\n measuredAnswers: number\n /** Every branded question asked, measured or not. */\n requestedAnswers: number\n failedAnswers: number\n verdicts: readonly VerdictCountViewModel[]\n concerns: readonly ConcernViewModel[]\n /** Absent when no measured answer attributed a source. */\n sourceTypes?: SourceTypeViewModel\n answers: readonly PerceptionAnswerViewModel[]\n notice?: UiNotice\n}\n\nexport interface CheckFormViewModel {\n action: string\n method?: 'get' | 'post'\n /** Field read by the server-side verifier. Never render a secret in this model. */\n verificationFieldName?: string\n /** A public Cloudflare Turnstile site key. Omit it for local/test bypasses. */\n turnstileSiteKey?: string | null\n /** `audit` is intentionally fixed so the server can reject action mismatches. */\n turnstileAction?: 'audit'\n /** Production without a configured verifier is truthfully disabled. */\n verificationStatus?: 'ready' | 'not-required' | 'unavailable'\n verificationUnavailableMessage?: string\n submitLabel?: string\n}\n\nexport interface BrandPerceptionViewModel {\n status: DemoUiStatus\n title?: string\n displayName: string\n domain: string\n form?: CheckFormViewModel\n perception?: PerceptionViewModel\n notice?: UiNotice\n}\n",[],[168,221,213],"ui","4cf11495-9996-40ee-a814-09232309e74f","styles.ts","ef48ec32-a7bd-11f1-b229-1607ee4eb77e",12,["D",1788456963025],"/**\n * The shared design system plus the handful of rules this product needs.\n *\n * `canonryDemoStyles` is the kit's, and it is the reason the two Vals look like\n * one company: tokens, type, tables, notices, disclosures, and the tooltip are\n * written once. Everything appended below exists only because this page shows\n * something the other one does not — a verdict row, verbatim quotations, and a\n * concern list — and it is written in the kit's own vocabulary (its tokens, its\n * table classes) so it reads as the same surface rather than a second one.\n *\n * The kit is not edited to hold it. A rule no other Val can use is not a shared\n * value; it is this product's surface, and the seam says that stays here.\n */\nimport { canonryDemoStyles } from 'npm:@canonry/val-kit@0.1.0/ui'\n\nconst PERCEPTION_STYLES = String.raw`\n/* One instrument, so no tabs: the report starts straight after the header and\n needs the spacing a tab panel would otherwise have supplied. */\n.report-body { padding-top: 34px; }\n\n/* The kit's signal vocabulary has no negative, because the other Val has no\n negative signal. Here an engine cautioning about the brand is exactly that. */\n.signal-negative { color: var(--negative); }\n\n/* Unbounded counts, so a flat KPI row and no progress bars: \"2 of 3\" has no\n target to fill, and a bar would invent one. Four cells across, collapsing\n rather than shrinking, because a two-digit number in a 70px column is not\n more readable for being on one line. */\n.verdict-row { display: grid; grid-template-columns: repeat(4, minmax(0, 1fr)); gap: 18px; margin: 18px 0 0; }\n.verdict-row > div { border-top: 1px solid var(--border); padding-top: 11px; }\n.verdict-row dt { color: var(--secondary); font-size: 13px; }\n.verdict-row dd { margin: 3px 0 0; color: var(--text); font-family: var(--mono); font-size: 25px; font-weight: 650; letter-spacing: -.05em; }\n.verdict-row dd.is-unmeasured { color: var(--muted); font-family: var(--sans); font-size: 15px; font-weight: 500; letter-spacing: normal; }\n.verdict-row span { color: var(--muted); font-size: 13px; }\n.verdict-row .is-positive dd { color: var(--positive); }\n.verdict-row .is-caution dd { color: var(--caution); }\n.verdict-row .is-negative dd { color: var(--negative); }\n\n/* The answer's own words, in the table cell. Quoted, because a sentence lifted\n out of an answer is a quotation and must never read as our summary of it. */\n.answer-quote { display: inline-block; max-width: 46ch; color: var(--text-strong); }\n.answer-note { color: var(--muted); }\n.answer-error { color: var(--caution); }\n\n/* Inside the row disclosure: every verified sentence, still quoted. */\n.quote-list { display: grid; gap: 8px; margin: 0; padding: 0; list-style: none; }\n.quote-list li { max-width: 72ch; border-left: 2px solid var(--border-strong); padding-left: 11px; color: var(--text-strong); }\n.chip-list { display: flex; flex-wrap: wrap; gap: 6px; margin: 0; padding: 0; list-style: none; }\n.chip-list li { border: 1px solid var(--border-strong); border-radius: 999px; padding: 2px 9px; color: var(--secondary); font-size: 12px; }\n\n/* Concerns: a phrase and how many answers wrote it. A list, not a table, since\n there are two facts per row and one of them is prose. */\n.concern-list { margin: 10px 0 0; padding: 0; list-style: none; border-top: 1px solid var(--border); }\n.concern-list li { display: flex; align-items: baseline; justify-content: space-between; gap: 16px; border-bottom: 1px solid var(--border); padding: 11px 2px; }\n.concern-phrase { color: var(--text-strong); font-size: 14px; }\n.concern-count { color: var(--muted); font-family: var(--mono); font-size: 12px; white-space: nowrap; }\n\n.source-count { color: var(--text-strong); font-family: var(--mono); font-variant-numeric: tabular-nums; white-space: nowrap; }\n.source-share { color: var(--text); font-family: var(--mono); font-variant-numeric: tabular-nums; width: 6ch; }\n.section-footnote { margin: 10px 0 0; color: var(--muted); font-size: 12px; }\n\n@media (max-width: 860px) {\n .verdict-row { grid-template-columns: repeat(2, minmax(0, 1fr)); }\n}\n@media (max-width: 600px) {\n .verdict-row { grid-template-columns: 1fr; gap: 12px; }\n .concern-list li { align-items: flex-start; flex-direction: column; gap: 4px; }\n}\n`\n\n/** Served from `/assets/canonry-ui.css` by the Val host, as one stylesheet. */\nexport const brandPerceptionStyles = `${canonryDemoStyles}\\n${PERCEPTION_STYLES}`\n",[],[168,221,223],"02d3a9e8-672c-4dc6-bca2-433b1e873a6f",["D",1788456963121],[],[168,221,32],"d5ec46fe-a8aa-41fc-b913-7083a7638f16","check-form.ts","ef3bc3ea-a7bd-11f1-8727-1607ee4eb77e",11,["D",1788456962916],"import type { ValTownConfig } from 'npm:@canonry/val-kit@0.1.0/config'\nimport type { CheckFormViewModel } from './types.ts'\n\ntype PublicCheckFormConfig = Pick<\n ValTownConfig,\n | 'publicChecksEnabled'\n | 'publicChecksUnavailableMessage'\n | 'humanVerificationStatus'\n | 'turnstileSiteKey'\n>\n\n/** Builds the public form from the complete admission capability, not CAPTCHA alone. */\nexport function createPublicCheckForm(config: PublicCheckFormConfig): CheckFormViewModel {\n const unavailable = !config.publicChecksEnabled\n return {\n action: '/check',\n method: 'post',\n verificationFieldName: 'cf-turnstile-response',\n turnstileSiteKey: unavailable ? null : config.turnstileSiteKey,\n turnstileAction: 'audit',\n verificationStatus: unavailable ? 'unavailable' : config.humanVerificationStatus,\n verificationUnavailableMessage: unavailable\n ? config.publicChecksUnavailableMessage ?? 'Public checks are temporarily unavailable.'\n : 'Human verification is not configured. Public checks are disabled.',\n submitLabel: 'Check a brand',\n }\n}\n",[],[168,221,235],"ded814b2-e46f-462c-a9f1-97a00b7b4d1b",2,["D",1788456960982],[191,192,193,194],[168,221],"4f9d45fe-bb61-49dc-95e1-7721ed13d71e","runtime","ee30f538-a7bd-11f1-a791-1607ee4eb77e",4,["D",1788456961187],[],[168,248],"943197cc-b06b-4946-9882-f880ef9fb6c8","mcp","ee403354-a7bd-11f1-adc2-1607ee4eb77e",["D",1788456961282],[],[168,255],"ebf126d5-0f4e-4391-8a29-d0cf0edb41da","jobs","ee5205ca-a7bd-11f1-adc2-1607ee4eb77e",6,["D",1788456961408],[],[168,261],"3d119210-fb81-4a4a-9cbb-b0eaa18880b4","app","ee205a2a-a7bd-11f1-a3ef-1607ee4eb77e",3,["D",1788456961083],[],[168,268],["D",1788456960824],[186,187,188,189,190],[168],["D",1788456812405],["D",1789501263826],{"_100":99,"_108":104},{"_100":99,"_101":102,"_103":104,"_18":-5,"_105":106,"_107":24},{"_13":89,"_31":90,"_42":41,"_91":43,"_92":-5,"_93":-5,"_94":-5,"_95":-5,"_96":-5,"_97":44,"_98":99},"ctx",{"_82":-5,"_128":315,"_316":317,"_318":319,"_320":24,"_321":24,"_322":24,"_323":59,"_324":-5,"_325":-7,"_326":-7,"_327":63,"_328":24,"_329":24,"_330":-5,"_331":24,"_332":24,"_333":24,"_334":-5},"ENV",{"_286":287,"_288":289,"_290":90,"_291":292,"_293":294,"_295":296,"_297":298,"_299":300,"_301":302,"_303":304,"_305":306,"_307":308,"_309":310,"_311":312,"_313":314},"REACT_APP_SENTRY_DSN","https://586020d86f05489db63a554690acf1e9@o1398359.ingest.sentry.io/6724499","RENDER_GIT_COMMIT","e87eb04e707cf64e7e532c8e8ec395f209e17f15","RENDER_GIT_BRANCH","POSTHOG_API_TOKEN","phc_nmoyuAkStEZuUp69rYlg1DZgrIt19Gx0Y4Hwf8tGgJP","POSTHOG_API_HOST","https://wart.val.town","WEB_API_TEMPLATE","https://{val}.web.val.run","APP_URL","https://www.val.town","MODULE_URL","https://esm.town","VANITY_WEB_API_TEMPLATE","https://{label}.val.run/","DENOLS_URL","https://lsp.val.town","NODE_ENV","production","CLOUDFLARE_TURNSTILE_SITE_KEY","0x4AAAAAACtaIZJH7s9rBMZ6","GOOGLE_CLIENT_ID","875989696899-jtsqkhlbdv5jrlsk8631p7ipjg3c6o62.apps.googleusercontent.com","STRIPE_PUBLISHABLE_KEY","pk_live_51N2zvWEpZTTLipIkVEwXrUG9AT0yeOOEYxszarZT1jpsZV58Ly6wlg3SltZpHN26CUalOBmUSY7adQRQiSkCZz2500qSXNkf8Y","API_URL","https://api.val.town",[],"preferencesKeybindings","default","preferencesTheme","light","preferencesFixers","preferencesCopilot","preferencesSelectionAi","preferencesCloseBrackets","preferencesChatPanelState","preferencesDprint","preferencesDenofmt","notificationCount","flagDenols","isBusinessOrgMember","businessOrgHandle","isBusinessOrgAdmin","isHigherTownieTier","navCollapsed","currentOrgId"]

Diff · v14