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ConsciousnessLearn · Explore · Joseph Anady

Janady13/missionmatch / frontend/src/components/ExecutiveCards.tsx

Source identity, revision, and recovered contents.

GitHub sourceSource text recovered

Source identity

FieldRecorded value
Source typeGitHub source
Original recordJanady13/missionmatch / frontend/src/components/ExecutiveCards.tsx
DateNot specified in source
RepositoryJanady13/missionmatch
Revision720d47fae476b0d38477ae4401697d372b1ea2bc
Branchfeature/opportunity-to-outcome
Path or archive memberfrontend/src/components/ExecutiveCards.tsx
Original SHA-2564feeb6d2533451d2f86264e3d9e2e89dabaea43cb3aaf1ae8674de877e27eea7
Git blob SHA98021c8f5ac15335437292f3c3eb55a1ef4ebbbe
Reading-copy SHA-2564feeb6d2533451d2f86264e3d9e2e89dabaea43cb3aaf1ae8674de877e27eea7

Original source ↗

Every recorded occurrence

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/components/ExecutiveCards.tsxfeature/opportunity-to-outcome720d47fae476b0d38477ae4401697d372b1ea2bcOpen original
Janady13/missionmatch / frontend/src/components/ExecutiveCards.tsxfeature/aioe-upgrade2178e7298d0e5d9af83afa12402fd587f0ba6ed8Open original

Recovered source transcript

import { Activity, BadgeDollarSign, Brain, Gauge as GaugeIcon, Loader2, TrendingUp } from 'lucide-react' import type { ReactNode } from 'react' import { Panel } from './ui' import { CAP, can } from '../lib/can' import { useMutation, useQueryClient } from '@tanstack/react-query' import { useAioeStatus } from '../tools/screenmatch/queries' import { screenApi } from '../tools/screenmatch/api' import { useAuth } from '../lib/useAuth' import { fmtDate } from '../lib/format' import type { CCExecutiveCard } from '../lib/types' const ICONS: Record<string, ReactNode> = { mission_readiness: <GaugeIcon size={16} />, revenue_at_risk: <BadgeDollarSign size={16} />, growth_capacity: <TrendingUp size={16} />, staffing_confidence: <Activity size={16} />, } function stateColor(state: string): string { if (state === 'ok') return 'var(--color-ok)' if (state === 'watch') return 'var(--color-warn)' if (state === 'risk') return 'var(--color-risk)' return 'var(--color-faint)' } // The executive intelligence row: four cards backed by real queries. A card with no feeding data // says so and names the feed; it never shows a fake number. export function ExecutiveCards({ cards }: { cards: CCExecutiveCard[] }) { if (!cards?.length) return null return ( <div className="grid grid-cols-1 gap-4 sm:grid-cols-2 xl:grid-cols-4"> {cards.map((c) => ( <Panel key={c.key} className="p-4"> <div className="flex items-center gap-2 text-[11px] font-bold uppercase tracking-wider text-muted"> <span style={{ color: stateColor(c.state) }}>{ICONS[c.key]}</span> {c.title} </div> {c.no_data ? ( <p className="mt-2 text-xs leading-relaxed text-faint">{c.data_note}</p> ) : ( <> <div className="mt-1.5 text-2xl font-extrabold tabular-nums" style={{ color: stateColor(c.state) }}> {c.value} </div> <p className="mt-1 text-xs leading-relaxed text-faint">{c.detail}</p> </> )} </Panel> ))} </div> ) } // Admin only proof the optimization engine is alive: outcomes recorded, the last engine run, the // active weight profile, and this month's adjustments. When shadow mode is on and a candidate // profile is pending, an admin can promote it here (the human in the loop step). Internal // instrumentation, not marketing. export function ContinuousLearningTile() { const { principal } = useAuth() const status = useAioeStatus() const qc = useQueryClient() const promote = useMutation({ mutationFn: () => screenApi.aioePromote(), onSuccess: () => void qc.invalidateQueries({ queryKey: ['aioe', 'status'] }), }) // Capability, not role name: the previous role string test hid the promote control from superuser, // which is the one role that holds every capability. if (!can(principal, CAP.orgSettings) || status.isError || !status.data) return null const s = status.data return ( <Panel title="Continuous Learning" hint="admin only · internal"> <div className="grid grid-cols-2 gap-x-6 gap-y-2.5 text-sm md:grid-cols-4"> <Stat k="Outcomes recorded" v={String(s.outcomesRecorded)} /> <Stat k="Last engine run" v={s.lastRunAt ? fmtDate(s.lastRunAt) : 'never'} /> <Stat k="Active weight profile" v={s.activeProfileVersion} /> <Stat k="Adjustments this month" v={String(s.adjustmentsThisMonth)} /> </div> {s.shadowMode && ( <div className="mt-3 flex flex-wrap items-center gap-3 rounded-lg border border-line/60 bg-navy-950/40 px-3 py-2.5"> <span className="text-[11px] font-bold uppercase tracking-wider text-gold">Shadow mode</span> {s.pendingCandidateVersion ? ( <> <span className="text-sm text-muted"> Candidate profile <span className="font-semibold text-ink">{s.pendingCandidateVersion}</span> is proposed and awaiting review. </span> <button disabled={promote.isPending} onClick={() => promote.mutate()} className="ml-auto flex items-center gap-1.5 rounded-lg bg-gradient-to-r from-blue to-navy-700 px-3.5 py-1.5 text-sm font-semibold text-white hover:brightness-110 disabled:opacity-50" > {promote.isPending && <Loader2 size={13} className="animate-spin" />} Promote to active </button> </> ) : ( <span className="text-sm text-faint">No candidate proposed yet. The engine proposes; a human promotes.</span> )} {promote.isError && <span className="w-full text-xs text-risk">{(promote.error as Error).message}</span>} </div> )} <p className="mt-2.5 flex items-center gap-1.5 text-[11px] text-faint"> <Brain size={12} /> Recorded screening outcomes tune the scoring weight profile on a nightly batch. Every change is versioned and audited. {s.shadowMode && ' In shadow mode the engine proposes; an admin promotes.'} {!s.updaterConfigured && ' The batch updater is not configured on this deployment; outcomes are accumulating.'} </p> </Panel> ) } function Stat({ k, v }: { k: string; v: string }) { return ( <div> <dt className="text-[11px] uppercase tracking-wider text-faint">{k}</dt> <dd className="mt-0.5 font-semibold tabular-nums">{v}</dd> </div> ) }

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