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Janady13/missionmatch / frontend/src/tools/missionmatch/Ask.tsx

Source identity, revision, and recovered contents.

GitHub sourceSource text recovered

Source identity

FieldRecorded value
Source typeGitHub source
Original recordJanady13/missionmatch / frontend/src/tools/missionmatch/Ask.tsx
DateNot specified in source
RepositoryJanady13/missionmatch
Revision720d47fae476b0d38477ae4401697d372b1ea2bc
Branchfeature/opportunity-to-outcome
Path or archive memberfrontend/src/tools/missionmatch/Ask.tsx
Original SHA-2566795dda527a89cd5df87b213dccb5abd97b5d479d9f36e87fa33c9499eaae8fb
Git blob SHA849a5d4a6c1c1a50b7db7395aade78038db522ce
Reading-copy SHA-2566795dda527a89cd5df87b213dccb5abd97b5d479d9f36e87fa33c9499eaae8fb

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These 2 records contain identical original source bytes. Their paths and revisions remain part of the archive.

Original recordBranch or archiveRevision / identifierOriginal location
Janady13/missionmatch / frontend/src/tools/missionmatch/Ask.tsxfeature/opportunity-to-outcome720d47fae476b0d38477ae4401697d372b1ea2bcOpen original
Janady13/missionmatch / frontend/src/tools/missionmatch/Ask.tsxfeature/aioe-upgrade2178e7298d0e5d9af83afa12402fd587f0ba6ed8Open original

Recovered source transcript

import { useState } from 'react' import { BrainCircuit, BookOpen, CornerDownLeft, Info, Loader2, Sparkles } from 'lucide-react' import { missionApi } from './api' import { missionBrand } from './brand' import { ApiError } from '../../lib/api' import { Badge, Panel } from '../../components/ui' import { ToolHeader } from '../../components/ToolHeader' import type { AskAnswer } from '../../lib/types' // Example prompts map to real registered intents and the seeded demo data, so the first click always // returns a grounded answer. Clicking a chip fills the input; the user still presses Ask to send it. const EXAMPLES = [ 'How many candidates hold a TS/SCI clearance?', 'What are our hardest staffing gaps right now?', 'Who can support the Intelligence Analyst mission?', 'What is the win probability on the Air Force segment?', 'Show the clearance coverage of our bench.', 'Which vendors perform best on our submissions?', ] // pathLabel names each retrieval route in plain words for the answer badge. const PATH_LABEL: Record<AskAnswer['path'], string> = { cag: 'Closed answer', tag: 'Tool answer', rag: 'Retrieval', graph: 'Graph walk', } // The Ask panel is the UI over the closed Registry AI brain. The brain answers only from the tenant's // own cleared data, cites its evidence, and refuses questions about protected attributes or out of scope // questions. A refusal is a normal outcome the panel renders calmly, never an error. export function Ask() { const [question, setQuestion] = useState('') const [loading, setLoading] = useState(false) const [answer, setAnswer] = useState<AskAnswer | null>(null) // A refusal is the brain's calm decline (HTTP 422). errorLine is a generic friendly line for any other // failure. The two are kept separate so a refusal never reads as a crash. const [refusal, setRefusal] = useState<string | null>(null) const [errorLine, setErrorLine] = useState<string | null>(null) const trimmed = question.trim() const canAsk = trimmed.length > 0 && !loading async function submit() { if (!canAsk) return setLoading(true) setAnswer(null) setRefusal(null) setErrorLine(null) try { const res = await missionApi.ask(trimmed) setAnswer(res) } catch (err) { // A refused question returns 422 with an error body. Treat it as an expected, calm decline. if (err instanceof ApiError && err.status === 422) { setRefusal(err.message || 'That question is out of scope for the mission brain.') } else { setErrorLine('Something went wrong reaching the mission brain. Please try again.') } } finally { setLoading(false) } } function onKeyDown(e: React.KeyboardEvent<HTMLTextAreaElement>) { // Enter with a modifier sends, so a plain Enter can still add a newline in a longer question. if (e.key === 'Enter' && (e.metaKey || e.ctrlKey)) { e.preventDefault() void submit() } } return ( <div className="mx-auto max-w-3xl space-y-4"> <ToolHeader name={missionBrand.name} tagline={missionBrand.tagline} accent={missionBrand.accent} /> <div className="flex items-center gap-2"> <BrainCircuit size={18} className="text-gold" /> <h2 className="text-lg font-bold tracking-tight">Ask the Brain™</h2> </div> <p className="text-sm text-muted"> This is the grounded mission brain. It answers from your tenant's own cleared data and cites the evidence behind every answer. </p> <Panel> <label htmlFor="ask-input" className="sr-only"> Ask the mission brain a question </label> <textarea id="ask-input" value={question} onChange={(e) => setQuestion(e.target.value)} onKeyDown={onKeyDown} rows={3} placeholder="Ask about your bench, your gaps, your win probability, or your incumbents." className="w-full resize-y rounded-lg border border-line/70 bg-navy-950/60 px-3 py-2.5 text-sm text-ink outline-none placeholder:text-faint focus:border-blue/70" /> <div className="mt-2 flex items-center justify-between gap-3"> <span className="text-[11px] text-faint"> Press Ask, or Command plus Enter, to send. </span> <button onClick={() => void submit()} disabled={!canAsk} className="flex items-center gap-2 rounded-lg bg-gradient-to-r from-blue to-navy-700 px-4 py-2 text-sm font-bold text-white hover:brightness-110 disabled:opacity-50" > {loading ? <Loader2 size={15} className="animate-spin" /> : <CornerDownLeft size={15} />} {loading ? 'Thinking…' : 'Ask'} </button> </div> {/* Example prompt chips, mapped to real registered intents and the seeded demo data. */} <div className="mt-3 flex flex-wrap gap-1.5 border-t border-line/50 pt-3"> <span className="mr-1 flex items-center gap-1 text-[11px] font-semibold uppercase tracking-wide text-faint"> <Sparkles size={12} /> Try </span> {EXAMPLES.map((ex) => ( <button key={ex} type="button" onClick={() => setQuestion(ex)} disabled={loading} className="rounded-full border border-line/70 bg-navy-800/50 px-3 py-1 text-[11px] text-blue-soft hover:border-blue/60 hover:text-ink disabled:opacity-50" > {ex} </button> ))} </div> </Panel> {loading && ( <Panel className="grid place-items-center py-10 text-muted"> <Loader2 size={22} className="animate-spin" /> <span className="mt-2 text-sm">Grounding the answer in your cleared data…</span> </Panel> )} {refusal && !loading && ( <Panel> <div className="flex items-start gap-2.5 text-sm text-muted"> <Info size={16} className="mt-0.5 shrink-0 text-blue-soft" /> <div> <div className="font-semibold text-ink">The mission brain declined this question.</div> <p className="mt-0.5">{refusal}</p> </div> </div> </Panel> )} {errorLine && !loading && ( <Panel> <p className="text-sm text-warn">{errorLine}</p> </Panel> )} {answer && !loading && <AnswerCard answer={answer} />} </div> ) } // AnswerCard renders the grounded answer prose, a labeled route badge and a faithful chip, the evidence // count, and the citations the brain grounded on. When there are no citations the grounding section is // omitted rather than shown empty. function AnswerCard({ answer }: { answer: AskAnswer }) { return ( <Panel> <div className="flex flex-wrap items-center gap-2"> <Badge color="var(--color-blue-soft)" subtle> {PATH_LABEL[answer.path]} </Badge> <Badge color={answer.faithful ? 'var(--color-gold)' : 'var(--color-warn)'} subtle> {answer.faithful ? 'Faithful to evidence' : 'Not fully grounded'} </Badge> <span className="text-[11px] text-faint"> {answer.evidence_count} evidence {answer.evidence_count === 1 ? 'row' : 'rows'} </span> </div> <p className="mt-3 whitespace-pre-wrap text-sm leading-relaxed text-ink">{answer.answer}</p> {answer.fallback_reason && ( <p className="mt-2 text-[11px] text-faint">Note: {answer.fallback_reason}</p> )} {answer.citations.length > 0 && ( <div className="mt-4 border-t border-line/50 pt-3"> <div className="mb-1.5 flex items-center gap-1.5 text-[11px] font-bold uppercase tracking-wider text-muted"> <BookOpen size={13} /> Grounded on </div> <ul className="space-y-1"> {/* Keyed on the citation itself, not its position. The whole answer is replaced on every ask, so an index key lets React reuse the previous answer's row for a different source. */} {answer.citations.map((c) => ( <li key={c} className="font-mono text-[11px] text-faint"> {c} </li> ))} </ul> </div> )} </Panel> ) }

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