Remove Ask/Execute modes and general product tool approvals so requests use the selected runtime, enabled capabilities, and execution account permissions. Migrate retired application metadata while preserving user content. Retire the Results page while retaining conversation images and stored artifacts. Add local and remote workspace file imports, timestamps and sorting, improve image discovery and saving, and refine workspace navigation and supervision responsiveness. Include the accompanying web-search changes, tests, probes, and product documentation. Remote imports require an updated Agent. Existing artifacts are not automatically copied into project directories. Validation evidence and outstanding failures remain documented in feature progress files; no full test suite or real-model calls were rerun for this commit. Release note: Run requests without switching work modes, import files into a selected local or remote workspace folder, sort workspace files by date, and keep using conversation images after removal of the Results page.
79 lines
4.3 KiB
JavaScript
79 lines
4.3 KiB
JavaScript
// Windows logical-I/O probe against an isolated copy of a quiescent data folder.
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// GB_WPERF_DATA must contain assistant.sqlite. No source database is opened.
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const { buildSync } = require('esbuild')
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const { mkdtempSync, copyFileSync, cpSync, existsSync, rmSync } = require('node:fs')
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const { tmpdir } = require('node:os')
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const { join, resolve } = require('node:path')
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const { randomUUID } = require('node:crypto')
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const { performance } = require('node:perf_hooks')
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const { execFileSync, spawnSync } = require('node:child_process')
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const { deepStrictEqual } = require('node:assert')
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if (process.platform !== 'win32') throw new Error('This probe uses Windows process I/O counters')
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if (!process.versions.electron) {
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const result = spawnSync(require('electron'), [__filename], {
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stdio: 'inherit', env: { ...process.env, ELECTRON_RUN_AS_NODE: '1' }
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})
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process.exit(result.status ?? 1)
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}
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const io = () => JSON.parse(execFileSync('powershell.exe', ['-NoProfile', '-Command',
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`Get-CimInstance Win32_Process -Filter 'ProcessId=${process.pid}' | Select-Object ReadTransferCount,WriteTransferCount | ConvertTo-Json -Compress`
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], { encoding: 'utf8' }))
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const source = process.env.GB_WPERF_DATA
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if (!source || !existsSync(join(source, 'assistant.sqlite'))) throw new Error('Set GB_WPERF_DATA')
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const directory = mkdtempSync(join(tmpdir(), 'goodbuddy-write-io-'))
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let database
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try {
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const path = join(directory, 'assistant.sqlite')
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for (const suffix of ['', '-wal', '-shm']) {
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if (existsSync(join(source, `assistant.sqlite${suffix}`))) {
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copyFileSync(join(source, `assistant.sqlite${suffix}`), `${path}${suffix}`)
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}
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}
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if (existsSync(join(source, 'notes'))) cpSync(join(source, 'notes'), join(directory, 'notes'), { recursive: true })
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const bundle = join(directory, 'database.cjs')
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buildSync({ entryPoints: [resolve(__dirname, '../src/main/assistant/assistant-database.ts')],
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outfile: bundle, bundle: true, platform: 'node', format: 'cjs', external: ['electron'], logLevel: 'error' })
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const { AssistantDatabase } = require(bundle)
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database = new AssistantDatabase(path)
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database.initialize(directory)
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const raw = database.database
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const largest = raw.prepare(`SELECT id, conversation_id, length(metadata_json) AS bytes
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FROM messages ORDER BY length(metadata_json) DESC LIMIT 1`).get()
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if (!largest) throw new Error('No messages')
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const snapshot = database.getConversation(largest.conversation_id)
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const message = snapshot.messages.find(item => item.id === largest.id)
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// Summary reads must remain small even while a large history is streaming.
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database.saveLocalConversations([{ header: { ...snapshot, messages: undefined },
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messages: [{ ...message, state: 'streaming' }] }])
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const taskId = randomUUID()
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database.createTask({ id: taskId, projectId: snapshot.projectId,
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conversationId: snapshot.id, title: 'I/O probe', instructions: '', visible: false })
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database.startExecutionTiming(taskId)
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raw.exec('PRAGMA wal_checkpoint(TRUNCATE)')
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console.log(JSON.stringify({ schema: raw.prepare('PRAGMA user_version').get(), metadataBytes: largest.bytes }))
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const results = []
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for (const [variant, query, count] of [
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['read-conversation', () => database.getConversation(snapshot.id), 1],
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['read-summary', () => database.listConversationSummaries([]), 1],
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['conversation-timing', () => database.getExecutionStats({ conversationId: snapshot.id }), 20],
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...(snapshot.projectId ? [['project-timing', () => database.getExecutionStats({ projectId: snapshot.projectId }), 20]] : [])
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]) {
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const before = io()
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const start = performance.now()
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for (let index = 0; index < count; index++) query()
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const elapsedMs = Math.round(performance.now() - start)
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const after = io()
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results.push({ variant, calls: count, elapsedMs,
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readMiB: Number(((after.ReadTransferCount - before.ReadTransferCount) / 1024 / 1024).toFixed(3)),
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writeMiB: Number(((after.WriteTransferCount - before.WriteTransferCount) / 1024 / 1024).toFixed(3)) })
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}
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database.endExecutionTiming(taskId)
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deepStrictEqual(database.getConversation(snapshot.id).messages,
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snapshot.messages.map(item => item.id === message.id ? { ...item, state: 'streaming' } : item))
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console.table(results)
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} finally {
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database?.close()
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rmSync(directory, { recursive: true, force: true, maxRetries: 5, retryDelay: 200 })
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}
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