[{"_1":2,"_3":-5,"_4":-5},"loaderData",{"_5":6,"_7":8},"actionData","errors","root",{"_111":112,"_113":114},"routes/embed.x.$handle.$name.$",{"_9":10,"_11":12,"_13":14,"_15":16,"_17":18,"_19":20,"_21":-5},"handle","cleitoncosta","name","guh-knowledge-vault","path","frontend/components/App.tsx","project",{"_22":49,"_11":12,"_35":50,"_51":-5,"_52":44,"_53":54,"_55":54,"_56":57,"_58":-5,"_59":60,"_61":62,"_63":34,"_64":-5,"_65":-5,"_66":67,"_68":69,"_70":71,"_72":73,"_74":75,"_76":-5,"_77":78,"_79":78,"_80":81,"_82":81,"_83":81,"_84":78,"_85":78,"_86":87,"_88":89,"_90":91,"_92":44},"file",{"_22":23,"_11":24,"_25":26,"_27":28,"_29":30,"_31":32,"_33":34,"_35":36,"_37":38,"_39":40,"_41":42,"_43":44,"_45":-5,"_13":46},"permalink","https://www.val.town/x/cleitoncosta/guh-knowledge-vault/code/frontend/components/App.tsx","extension","id","911a981e-e829-4ae5-8627-8f317c4aded7","App.tsx","fileId","01a077cd-497f-73ff-be91-adfc3e9c0cec","parentId","01a077cd-4980-75c9-8c9e-f4482b52cd3e","branchId","bb539edb-15fc-48c6-a690-7d3728033cd0","branchVersion",16,"latest",true,"createdAt",["D",1788741834089],"version",9,"fileType","script","content","/** @jsxImportSource https://esm.sh/react@18.2.0 */\nimport React, { useEffect, useMemo, useState } from \"https://esm.sh/react@18.2.0\";\nimport { readExportFiles, scopedRunId, type ExportInventory } from \"../export_reader.ts\";\nimport { buildPreflight, preflightGate, preflightScopeKey, type PreflightReport } from \"../preflight.ts\";\n\ntype Stats = {\n conversations: number;\n messages: number;\n indexedMessages: number;\n checkpoints: number;\n knowledgeItems: number;\n relations: number;\n chars: number;\n bytes: number;\n earliest: number | null;\n latest: number | null;\n truncated: number;\n budgetBytes: number;\n};\n\ntype SearchResult = {\n id: string;\n title: string;\n createTime: number | null;\n updateTime: number | null;\n messageCount: number;\n charCount: number;\n contentBytes: number;\n truncated: boolean;\n snippet: string;\n role?: string;\n messageId?: string;\n rank?: number;\n};\n\ntype IndexedMessage = {\n id: string;\n seq: number;\n role: string;\n create_time: number | null;\n content_text: string;\n char_count: number;\n content_bytes: number;\n};\n\ntype Detail = {\n id: string;\n title: string;\n create_time: number | null;\n update_time: number | null;\n message_count: number;\n char_count: number;\n content_bytes: number;\n content_text: string;\n truncated: number;\n source_file: string;\n imported_at: string;\n indexed_messages?: IndexedMessage[];\n};\n\ntype Checkpoint = {\n id: string;\n project: string;\n title: string;\n summary: string;\n decisions: string;\n open_gaps: string;\n next_action: string;\n evidence_state: string;\n created_at: string;\n updated_at: string;\n};\n\ntype CheckpointHit = {\n id: string;\n project: string;\n title: string;\n snippet: string;\n rank?: number;\n};\n\ntype KnowledgeHit = {\n id: string;\n project: string;\n kind: string;\n title: string;\n snippet: string;\n rank?: number;\n};\n\nconst EMPTY_STATS: Stats = {\n conversations: 0,\n messages: 0,\n indexedMessages: 0,\n checkpoints: 0,\n knowledgeItems: 0,\n relations: 0,\n chars: 0,\n bytes: 0,\n earliest: null,\n latest: null,\n truncated: 0,\n budgetBytes: 8_000_000,\n};\n\nfunction fmtNumber(value: unknown) {\n return new Intl.NumberFormat(\"pt-BR\").format(Number(value ?? 0));\n}\n\nfunction fmtBytes(value: unknown) {\n const n = Number(value ?? 0);\n if (n < 1024) return `${n} B`;\n if (n < 1024 * 1024) return `${(n / 1024).toFixed(1)} KB`;\n return `${(n / 1024 / 1024).toFixed(2)} MB`;\n}\n\nfunction fmtDate(epoch: unknown) {\n const n = Number(epoch ?? 0);\n if (!n) return \"data desconhecida\";\n return new Intl.DateTimeFormat(\"pt-BR\", { dateStyle: \"medium\", timeStyle: \"short\" }).format(new Date(n * 1000));\n}\n\nfunction fmtIso(value: string) {\n const d = new Date(value);\n return Number.isNaN(d.getTime()) ? value : new Intl.DateTimeFormat(\"pt-BR\", { dateStyle: \"medium\", timeStyle: \"short\" }).format(d);\n}\n\nfunction partText(part: any): string {\n if (typeof part === \"string\") return part;\n if (!part || typeof part !== \"object\") return \"\";\n if (typeof part.text === \"string\") return part.text;\n if (typeof part.content === \"string\") return part.content;\n if (part.asset_pointer) return `[mídia: ${String(part.asset_pointer).slice(0, 80)}]`;\n return \"\";\n}\n\nfunction messageText(message: any): string {\n const content = message?.content;\n if (!content) return \"\";\n if (Array.isArray(content.parts)) return content.parts.map(partText).filter(Boolean).join(\"\\n\");\n if (typeof content.text === \"string\") return content.text;\n return \"\";\n}\n\nfunction activeNodes(conv: any): any[] {\n const mapping = conv?.mapping && typeof conv.mapping === \"object\" ? conv.mapping : {};\n const current = conv?.current_node;\n if (current && mapping[current]) {\n const nodes: any[] = [];\n const seen = new Set();\n let id: string | null = current;\n while (id && mapping[id] && !seen.has(id)) {\n seen.add(id);\n nodes.push(mapping[id]);\n id = mapping[id]?.parent ?? null;\n }\n return nodes.reverse();\n }\n return Object.values(mapping).sort((a: any, b: any) => {\n const at = Number(a?.message?.create_time ?? 0);\n const bt = Number(b?.message?.create_time ?? 0);\n return at - bt;\n });\n}\n\nfunction hashString(input: string) {\n let hash = 0;\n for (let i = 0; i < input.length; i++) hash = ((hash << 5) - hash + input.charCodeAt(i)) | 0;\n return hash;\n}\n\nfunction normalizeConversation(conv: any, sourceFile: string) {\n let id = String(conv?.id ?? conv?.conversation_id ?? \"\").trim();\n if (!/^[A-Za-z0-9_-]{1,160}$/.test(id)) {\n id = `fallback_${Math.abs(hashString(`${conv?.title ?? \"\"}|${conv?.create_time ?? \"\"}|${sourceFile}`))}`;\n }\n\n const messages = activeNodes(conv)\n .map((node: any) => node?.message)\n .filter(Boolean)\n .map((message: any, index: number) => {\n const text = messageText(message).trim();\n if (!text) return null;\n let messageId = String(message?.id ?? \"\").trim();\n if (!/^[A-Za-z0-9_-]{1,160}$/.test(messageId)) messageId = `${id}_m_${index + 1}`.slice(0, 160);\n return {\n id: messageId,\n role: String(message?.author?.role ?? \"unknown\").toLowerCase().slice(0, 40),\n createTime: Number.isFinite(Number(message?.create_time)) ? Number(message.create_time) : null,\n contentText: text,\n };\n })\n .filter(Boolean) as Array<{ id: string; role: string; createTime: number | null; contentText: string }>;\n\n let contentText = messages.map((message) => `[${message.role.toUpperCase()}]\\n${message.contentText}`).join(\"\\n\\n\");\n let truncated = false;\n const HARD_LIMIT = 590_000;\n if (contentText.length > HARD_LIMIT) {\n const half = 294_000;\n contentText = `${contentText.slice(0, half)}\\n\\n[... TRECHO CENTRAL OMITIDO NO BLOCO LEGADO ...]\\n\\n${contentText.slice(-half)}`;\n truncated = true;\n }\n\n return {\n id,\n title: String(conv?.title ?? \"Sem título\").slice(0, 300),\n createTime: Number.isFinite(Number(conv?.create_time)) ? Number(conv.create_time) : null,\n updateTime: Number.isFinite(Number(conv?.update_time)) ? Number(conv.update_time) : null,\n messageCount: messages.length,\n contentText,\n messages,\n truncated,\n sourceFile,\n };\n}\n\nasync function jsonFetch(url: string, init?: RequestInit) {\n const res = await fetch(url, init);\n const data = await res.json().catch(() => ({}));\n if (!res.ok) {\n const error: any = new Error(data?.error ?? `HTTP ${res.status}`);\n error.status = res.status;\n error.data = data;\n throw error;\n }\n return data;\n}\n\nexport function App() {\n const [stats, setStats] = useState(EMPTY_STATS);\n const [me, setMe] = useState(null);\n const [query, setQuery] = useState(\"\");\n const [results, setResults] = useState([]);\n const [checkpointHits, setCheckpointHits] = useState([]);\n const [knowledgeHits, setKnowledgeHits] = useState([]);\n const [searchEngine, setSearchEngine] = useState(\"\");\n const [searching, setSearching] = useState(false);\n const [searched, setSearched] = useState(false);\n const [detail, setDetail] = useState(null);\n const [detailLoading, setDetailLoading] = useState(false);\n const [importLimit, setImportLimit] = useState(25);\n const [importing, setImporting] = useState(false);\n const [importProgress, setImportProgress] = useState({ done: 0, total: 0 });\n const [importInventory, setImportInventory] = useState(null);\n const [preflightReport, setPreflightReport] = useState(null);\n const [dryRunOnly, setDryRunOnly] = useState(true);\n const [reviewedPreflightKey, setReviewedPreflightKey] = useState(\"\");\n const [importRun, setImportRun] = useState(null);\n const [notice, setNotice] = useState(\"\");\n const [checkpoints, setCheckpoints] = useState([]);\n\n const usedPct = useMemo(() => {\n if (!stats.budgetBytes) return 0;\n return Math.min(100, (Number(stats.bytes) / Number(stats.budgetBytes)) * 100);\n }, [stats]);\n\n async function refresh() {\n const [meData, statsData, checkpointData] = await Promise.all([\n jsonFetch(\"/api/me\"),\n jsonFetch(\"/api/stats\"),\n jsonFetch(\"/api/checkpoints?limit=5\"),\n ]);\n setMe(meData);\n setStats({ ...EMPTY_STATS, ...statsData });\n setCheckpoints(checkpointData.checkpoints ?? []);\n }\n\n useEffect(() => {\n refresh().catch((err) => setNotice(`Falha ao carregar o cofre: ${err.message}`));\n }, []);\n\n async function search() {\n const q = query.trim();\n if (q.length < 2) {\n setNotice(\"Digite pelo menos 2 caracteres para pesquisar.\");\n return;\n }\n setSearching(true);\n setNotice(\"\");\n try {\n const data = await jsonFetch(`/api/search?q=${encodeURIComponent(q)}`);\n setResults(data.results ?? []);\n setCheckpointHits(data.checkpoints ?? []);\n setKnowledgeHits(data.knowledge ?? []);\n setSearchEngine(data.engine ?? \"\");\n setSearched(true);\n } catch (err: any) {\n setNotice(`Pesquisa falhou: ${err.message}`);\n } finally {\n setSearching(false);\n }\n }\n\n async function openConversation(id: string) {\n setDetailLoading(true);\n setDetail(null);\n try {\n const data = await jsonFetch(`/api/conversations/${encodeURIComponent(id)}`);\n setDetail(data);\n } catch (err: any) {\n setNotice(`Não consegui abrir a conversa: ${err.message}`);\n } finally {\n setDetailLoading(false);\n }\n }\n\n async function importFiles(fileList: FileList | null) {\n if (!fileList?.length || importing) return;\n setImporting(true);\n setNotice(\"Lendo e inventariando o export localmente no seu navegador…\");\n setImportProgress({ done: 0, total: 0 });\n setImportRun(null);\n\n try {\n const source = await readExportFiles(Array.from(fileList));\n setImportInventory(source.inventory);\n const preflight = buildPreflight(source.candidates, source.inventory, importLimit);\n setPreflightReport(preflight);\n if (preflight.blocked) throw new Error(\"Preflight bloqueou a ingestão. Revise os itens marcados como BLOCK.\");\n const preflightKey = preflightScopeKey(source.sourceFingerprint, importLimit);\n if (dryRunOnly) {\n setReviewedPreflightKey(preflightKey);\n setNotice(`PREFLIGHT concluído sem escrita: ${preflight.candidateCount} conversa(s), ${preflight.textMessages} mensagem(ns) textuais, ${preflight.issues.length} achado(s). Este fingerprint + limite está liberado para uma segunda ação deliberada de importação.`);\n return;\n }\n const gate = preflightGate(reviewedPreflightKey, source.sourceFingerprint, importLimit);\n if (!gate.allowed) {\n setNotice(\"IMPORTAÇÃO BLOQUEADA: este fingerprint + limite ainda não passou por uma rodada anterior em modo somente-análise. Ative ‘Somente analisar’, selecione o arquivo, revise o relatório e só então tente importar.\");\n return;\n }\n const selected = importLimit > 0 ? source.candidates.slice(0, importLimit) : source.candidates;\n const total = selected.length;\n if (!total) throw new Error(\"Nenhuma conversa selecionada para importação.\");\n const runId = scopedRunId(source.runId, total);\n\n const inventoryForRun = { ...source.inventory, selectedCandidates: total };\n let previous: any = null;\n try {\n previous = await jsonFetch(`/api/import-runs/${encodeURIComponent(runId)}`);\n } catch (err: any) {\n if (Number(err?.status) !== 404) throw err;\n }\n if (previous && String(previous.source_fingerprint) !== source.sourceFingerprint) {\n throw new Error(\"O cursor existente não corresponde a este export.\");\n }\n\n let cursor = previous ? Math.min(total, Number(previous.cursor ?? 0)) : 0;\n let imported = previous ? Math.min(total, Number(previous.imported_count ?? 0)) : 0;\n let indexedMessages = previous ? Number(previous.indexed_messages ?? 0) : 0;\n let skipped = previous ? Math.min(total, Number(previous.skipped_count ?? 0)) : 0;\n let truncated = 0;\n let pausedReason = \"\";\n let unknownExternalState = false;\n setImportProgress({ done: cursor, total });\n\n const applyRun = (saved: any) => {\n cursor = Math.min(total, Number(saved?.cursor ?? cursor));\n imported = Math.min(total, Number(saved?.importedCount ?? saved?.imported_count ?? imported));\n indexedMessages = Number(saved?.indexedMessages ?? saved?.indexed_messages ?? indexedMessages);\n skipped = Math.min(total, Number(saved?.skippedCount ?? saved?.skipped_count ?? skipped));\n setImportRun(saved);\n setImportProgress({ done: cursor, total });\n return saved;\n };\n\n if (previous?.status === \"COMPLETE\" && cursor >= total && Number(previous.total_candidates) === total) {\n applyRun(previous);\n setDryRunOnly(true);\n setReviewedPreflightKey(\"\");\n setNotice(`Este conjunto já foi concluído: ${total} conversa(s). Nenhuma escrita foi repetida. O modo seguro “Somente analisar” foi reativado.`);\n return;\n }\n\n const persistRun = async (status: \"IN_PROGRESS\" | \"PAUSED\" | \"COMPLETE\" | \"FAILED\", lastError: string | null = null) => {\n const saved = await jsonFetch(`/api/import-runs/${encodeURIComponent(runId)}`, {\n method: \"PUT\",\n headers: { \"Content-Type\": \"application/json\" },\n body: JSON.stringify({\n sourceFingerprint: source.sourceFingerprint,\n sourceName: source.sourceName,\n sourceSize: source.sourceSize,\n totalCandidates: total,\n cursor,\n importedCount: imported,\n indexedMessages,\n skippedCount: skipped,\n status,\n inventory: inventoryForRun,\n lastError,\n }),\n });\n return applyRun(saved);\n };\n\n const reconcileRun = async () => {\n try {\n const saved = await jsonFetch(`/api/import-runs/${encodeURIComponent(runId)}`);\n return applyRun(saved);\n } catch {\n return null;\n }\n };\n\n await persistRun(\"IN_PROGRESS\");\n\n for (let i = cursor; i < total; i++) {\n const normalized = normalizeConversation(selected[i].conv, selected[i].sourceFile);\n if (!normalized.contentText.trim()) {\n skipped++;\n cursor = i + 1;\n imported = Math.max(imported, cursor - skipped);\n await persistRun(cursor === total ? \"COMPLETE\" : \"IN_PROGRESS\");\n continue;\n }\n\n try {\n const outcome = await jsonFetch(`/api/conversations/${encodeURIComponent(normalized.id)}`, {\n method: \"PUT\",\n headers: { \"Content-Type\": \"application/json\" },\n body: JSON.stringify({\n ...normalized,\n importRun: {\n id: runId,\n sourceFingerprint: source.sourceFingerprint,\n totalCandidates: total,\n cursorAfter: i + 1,\n skippedCount: skipped,\n },\n }),\n });\n if (!outcome?.importProgress) throw new Error(\"IMPORT_PROGRESS_MISSING\");\n applyRun(outcome.importProgress);\n if (normalized.truncated) truncated++;\n } catch (err: any) {\n const status = Number(err?.status ?? 0);\n if (err?.data?.error === \"vault_budget_exceeded\") {\n pausedReason = \"limite operacional de armazenamento atingido\";\n await persistRun(\"PAUSED\", pausedReason);\n break;\n }\n if (!status || status >= 500) {\n const reconciled = await reconcileRun();\n if (reconciled && cursor >= i + 1) {\n if (normalized.truncated) truncated++;\n continue;\n }\n if (reconciled) {\n pausedReason = `interrupção transitória reconciliada sem commit: ${String(err?.message ?? \"erro de rede\").slice(0, 160)}`;\n await persistRun(\"PAUSED\", pausedReason);\n } else {\n unknownExternalState = true;\n pausedReason = \"UNKNOWN_EXTERNAL_STATE: a resposta da gravação desapareceu e o cursor não pôde ser reconciliado. Selecione o mesmo export novamente; não repita cegamente outro conjunto.\";\n setImportRun({ cursor, totalCandidates: total, status: \"UNKNOWN_EXTERNAL_STATE\" });\n }\n break;\n }\n\n skipped++;\n cursor = i + 1;\n imported = Math.max(imported, cursor - skipped);\n await persistRun(cursor === total ? \"COMPLETE\" : \"IN_PROGRESS\", `item ignorado: ${String(err?.message ?? \"erro\").slice(0, 160)}`);\n }\n }\n\n if (cursor >= total) await persistRun(\"COMPLETE\");\n else if (!pausedReason && !unknownExternalState) await persistRun(\"PAUSED\", \"importação interrompida antes da conclusão\");\n\n await refresh();\n const pieces = [\n `${imported}/${total} conversa(s) confirmada(s)`,\n `${indexedMessages} mensagem(ns) confirmada(s) no cursor persistido`,\n `cursor ${cursor}/${total}`,\n ];\n if (truncated) pieces.push(`${truncated} longa(s) com bloco legado parcial nesta rodada`);\n if (skipped) pieces.push(`${skipped} ignorada(s)`);\n if (pausedReason) pieces.push(`PAUSADA: ${pausedReason}`);\n else if (cursor >= total) {\n pieces.push(\"importação concluída e retomável registrada no Turso\");\n setDryRunOnly(true);\n setReviewedPreflightKey(\"\");\n }\n setNotice(pieces.join(\" • \"));\n } catch (err: any) {\n setNotice(`Importação falhou: ${err.message}`);\n } finally {\n setImporting(false);\n }\n }\n\n async function logout() {\n await fetch(\"/auth/logout\", { method: \"POST\" }).catch(() => {});\n location.href = \"/\";\n }\n\n return (\n

GUH Knowledge Vault

V0.7.0 • {me?.activeStorageProvider === \"turso\" ? \"Turso\" : \"storage bloqueado\"} • Real-export preflight • dry-run default

\n \n

\n\n

\n \n Cofre autenticado: @{me?.username ?? \"…\"}\n

\n Sua memória começa a virar infraestrutura para agentes.\n

\n Histórico importado por mensagens + checkpoints + conhecimento estruturado. A V0.7 adiciona preflight obrigatório em modo dry-run por padrão: primeiro inventaria e testa compatibilidade do export; só depois uma ação deliberada libera a escrita no Turso.\n

\n\n

\n \n \n \n \n \n \n \n \n

\n\n

Busca universal

Mensagens + conhecimento estruturado • FTS5/BM25; expansão conceitual via ChatGPT Bridge

até 25 resultados

\n setQuery((e.target as HTMLInputElement).value)}\n onKeyDown={(e) => e.key === \"Enter\" && search()}\n placeholder=\"Ex.: Kernel timeout, NR-12, reconciliação…\"\n className=\"min-w-0 flex-1 rounded-2xl bg-black/25 border border-white/10 px-4 py-4 outline-none focus:border-emerald-300/50 placeholder:text-slate-600\"\n />\n \n

\n\n {notice && (\n

{notice}

\n )}\n\n {searched && (\n

Conversas

\n {results.length} • {searchEngine || \"—\"}\n

\n {results.map((item) => (\n \n ))}\n {!results.length &&

Nenhuma conversa encontrada.

}\n

\n\n

Conhecimento estruturado

\n {knowledgeHits.length}\n

\n {knowledgeHits.map((hit) => (\n

\n {hit.project}\n {hit.kind}\n

{hit.title}

{hit.snippet}

\n ))}\n {!knowledgeHits.length &&

Nenhum item estruturado relacionado.

}\n

\n\n

Checkpoints relacionados

\n {checkpointHits.length}\n

\n {checkpointHits.map((hit) => (\n

\n {hit.project}\n memória viva\n

{hit.title}

{hit.snippet}

\n ))}\n {!checkpointHits.length &&

Nenhum checkpoint relacionado.

}\n

\n )}\n\n

Checkpoints do trabalho

Conhecimento novo pode entrar no Vault sem esperar outro export.

ChatGPT → Vault

\n {checkpoints.map((cp) => (\n

\n {cp.project}\n {cp.evidence_state}\n

{cp.title}

{cp.summary}

\n {cp.next_action &&

Próxima ação: {cp.next_action}

}\n

{fmtIso(cp.updated_at)}

\n ))}\n {!checkpoints.length &&

Nenhum checkpoint ainda.

}\n

\n\n

Importar export do ChatGPT

Escolha o ZIP oficial diretamente ou arquivos conversations*.json.

ZIP local → parser → Turso

\n\n

\n \n \n {importing ? `Importando ${importProgress.done}/${importProgress.total || \"…\"}` : \"Selecionar ZIP ou JSON\"}\n { const input = e.target as HTMLInputElement; const files = input.files; importFiles(files).finally(() => { input.value = \"\"; }); }} />\n \n

\n\n \n setDryRunOnly((e.target as HTMLInputElement).checked)} disabled={importing} className=\"mt-1 h-4 w-4\" />\n

Somente analisar — não gravar no Turso

Padrão seguro da V0.7. Primeiro faça o preflight. Só desmarque depois de revisar o relatório e decidir importar.

\n \n\n {preflightReport && (\n

Preflight do export

{preflightReport.blocked ? \"BLOCKED\" : \"READY_FOR_REVIEW\"}

\n \n \n \n \n \n \n \n s + x.count, 0))} />\n

Estimativa textual: {fmtNumber(preflightReport.estimatedChars)} caracteres • maior mensagem {fmtNumber(preflightReport.longestMessageChars)} • maior conversa {fmtNumber(preflightReport.longestConversationChars)}

\n {preflightReport.contentTypeCounts.length > 0 &&

Content types: {preflightReport.contentTypeCounts.slice(0, 10).map((x) => `${x.contentType} (${x.count})`).join(\" • \")}

}\n {preflightReport.issues.length > 0 ? (\n

\n {preflightReport.issues.map((issue) => (\n

\n {issue.severity}\n {issue.code} × {issue.count}\n

{issue.detail}

\n ))}\n

\n ) :

Nenhuma incompatibilidade detectada pelo preflight atual.

}\n

\n )}\n\n {importInventory && (\n

Inventário local do export

antes de armazenar

\n \n \n \n \n \n

\n {importInventory.extensionBreakdown.length > 0 && (\n

\n Outros tipos no ZIP: {importInventory.extensionBreakdown.map((item) => `${item.extension} (${item.count})`).join(\" • \")}\n

\n )}\n {importRun && (\n

\n Cursor persistido: {fmtNumber(importRun.cursor ?? 0)}/{fmtNumber(importRun.totalCandidates ?? importRun.total_candidates ?? importProgress.total)} • estado {String(importRun.status ?? \"—\")}\n

\n )}\n

\n )}\n\n

\n Conteúdo legado usado\n {usedPct.toFixed(1)}%\n

\n\n

\n A V0.7 aceita ZIP, ZIP64 e JSON e inicia sempre em modo somente-análise. O preflight inventaria o export, mede conversas/mensagens, detecta IDs/mapping/tipos de conteúdo e limites antes de qualquer escrita. A liberação vale somente para o mesmo fingerprint + limite já analisado; ao concluir uma importação, o modo seguro é reativado. Anexos grandes continuam apenas inventariados.\n

\n\n

\n \n \n \n

\n\n \n

\n\n {(detail || detailLoading) && (\n

!detailLoading && setDetail(null)}>\n

e.stopPropagation()}>\n {detailLoading && !detail ? (\n

Abrindo conversa…

\n ) : detail ? (\n <>\n

{detail.title}

\n {fmtDate(detail.update_time)} • {fmtNumber(detail.message_count)} mensagens • {fmtBytes(detail.content_bytes)}\n {detail.indexed_messages?.length ? ` • ${detail.indexed_messages.length} indexadas` : \"\"}\n

\n \n

\n {Boolean(detail.truncated) &&

O bloco legado desta conversa foi truncado, mas mensagens individualizadas podem preservar mais contexto conforme os limites por mensagem.

}\n {detail.indexed_messages?.length ? (\n

\n {detail.indexed_messages.map((message) => (\n

{message.role}

{message.content_text}

\n ))}\n

\n ) : (\n

{detail.content_text}

\n )}\n

Origem: {detail.source_file} • importado em {detail.imported_at}

\n \n ) : null}\n

\n )}\n

\n );\n}\n\nfunction Stat({ label, value }: { label: string; value: string }) {\n return (\n

{label}

{value}

\n );\n}\n\nfunction Mini({ label, text }: { label: string; text: string }) {\n return (\n

{label}

{text}

\n );\n}\n\nfunction MiniMetric({ label, value }: { label: string; value: string }) {\n return (\n

{label}

{value}

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