mesalogo
db5e43d7d5
Replace truncated review input with paged, resumable batches and retain extracted facts and source references through navigation summaries. Expose concurrency, timeouts, batch budgets and response capacity in supervisor settings. Separate automatic supervision from review results, activity and settings; use a standard plan modal and show execution stages with saved batch details. Fix historical entity identity mapping, navigation output validation and arbitrary summary length failures. Include focused regressions, isolated real-data validation scripts and updated design and verification records. Overall layout acceptance remains outstanding; this commit does not claim that all visual issues are resolved. Release note: 监督回顾支持完整分页、分批保存和暂停后继续，可配置并发、超时及响应容量；修复实体引用、汇总校验和长摘要报错，并重新组织自动监督与活动记录入口。
54 lines
3.2 KiB
TypeScript
54 lines
3.2 KiB
TypeScript
// Offline production-factory replay. The source is read-only; only a new backup is initialized.
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import assert from 'node:assert/strict'
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import { DatabaseSync, backup } from 'node:sqlite'
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import { cpSync, existsSync, writeFileSync } from 'node:fs'
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import { dirname, join, resolve } from 'node:path'
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import { AssistantDatabase } from '../src/main/assistant/assistant-database'
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import { createProductionSupervisorService } from '../src/main/assistant/supervision-production'
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import { SupervisionModelPool } from '../src/main/assistant/supervision-model-pool'
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import type { AgentRuntime } from '../src/main/agent/runtime'
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async function main() {
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const [sourcePath, destinationPath, runId] = process.argv.slice(2)
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assert(sourcePath && destinationPath && runId)
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assert(resolve(sourcePath) !== resolve(destinationPath) && !existsSync(destinationPath))
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const source = new DatabaseSync(sourcePath, { readOnly: true })
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const before = source.prepare('SELECT * FROM supervision_runs WHERE id = ?').get(runId)
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assert(before)
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const cached = source.prepare('SELECT output_json FROM supervision_review_navigation WHERE run_id = ? LIMIT 1').get(runId)
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assert(cached, 'Replay requires a saved navigation response')
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const { summary, changeDigest, openItems } = JSON.parse(String(cached.output_json))
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await backup(source, destinationPath)
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const notes = join(dirname(sourcePath), 'notes')
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const copiedNotes = join(dirname(destinationPath), 'notes')
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if (existsSync(notes) && !existsSync(copiedNotes)) cpSync(notes, copiedNotes, { recursive: true })
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const db = new AssistantDatabase(destinationPath)
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const pool = new SupervisionModelPool()
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let calls = 0
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const run: AgentRuntime['run'] = async function* (input) {
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assert(input.prompt.includes('These inputs are navigation summaries'), 'No successful leaf may be replayed')
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calls++
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yield { type: 'text', requestId: input.requestId, delta: JSON.stringify({ summary, changeDigest, openItems }) }
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yield { type: 'done', requestId: input.requestId }
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}
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try {
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db.initialize(dirname(destinationPath))
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const store = db.supervisionReviewStore()
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const leaves = store.batches(runId, 20)
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assert.equal(leaves.length, 6)
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assert.equal(store.progress(runId).remainingSources, 0)
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const service = createProductionSupervisorService(db, async () => ({ supervisorModelConcurrency: 1 }),
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async () => ({ runtimeId: 'offline-replay', capability: 'chat', run } as AgentRuntime), pool)
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const result = await service.resume(runId)
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assert.equal(result.status, 'completed')
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assert.deepEqual(store.batches(runId, 20), leaves)
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assert.equal(calls, 4)
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assert.deepEqual(source.prepare('SELECT * FROM supervision_runs WHERE id = ?').get(runId), before)
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const report = { runId, status: result.status, retainedLeaves: leaves.length, offlineResponses: calls, paidCalls: 0,
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originalUnchanged: true, progress: store.progress(runId), limitation: 'Saved successful navigation text replayed with optional arrays omitted; failed raw response was not persisted.' }
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writeFileSync(`${destinationPath}.report.json`, JSON.stringify(report, null, 2))
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console.log(JSON.stringify(report))
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} finally { db.close(); pool.dispose(); source.close() }
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}
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void main().catch(error => { console.error(error); process.exitCode = 1 })
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