Files
goodbuddy/tests/support/manual-compaction-main.ts
T
mesalogo 4baf4ec142 fix: restore manual context compaction for direct models
Local direct-model text conversations could not use manual context compaction,
and disabling automatic compression prevented saved summaries from being reused.
Restore the composer action regardless of the automatic setting or threshold,
use the selected summary connection, and persist summaries for subsequent
requests while retaining recent turns and full conversation history.

Image connections, remote channel conversations, and SSH projects remain outside
the local direct-model compaction workflow. Add focused regressions, a local
Electron end-to-end test, and an opt-in two-request live probe.

Validation: staged snapshot passed typecheck, changed-file ESLint, 13 focused
tests, and the Electron end-to-end test with two local HTTP fixture requests.
No additional real-model calls were made during commit verification.

Release note: 修复本地直连文本模型无法手动压缩上下文的问题。现在关闭自动压缩或尚未达到触发阈值时,也可点击“压缩上下文”;摘要会随会话保存并用于后续对话,同时保留最近轮次和完整历史。
2026-09-28 22:21:47 +08:00

118 lines
7.3 KiB
TypeScript

import { app, BrowserWindow } from 'electron'
import assert from 'node:assert/strict'
import { randomUUID } from 'node:crypto'
import { createServer } from 'node:http'
import { join } from 'node:path'
import { registerIpcHandlers } from '../../src/main/ipc'
import { AssistantDatabase } from '../../src/main/assistant/assistant-database'
import { ApplicationSettingsStore } from '../../src/main/application-settings-store'
import { RuntimeSettingsStore } from '../../src/main/runtime-settings-store'
import { createModelProfileRuntime } from '../../src/main/agent/create-runtime'
import { defaultRuntimeSettings } from '../../src/shared/contracts'
const directory = process.env.GB_COMPACT_DIRECTORY!
app.setPath('userData', join(directory, 'profile'))
void app.whenReady().then(async () => {
const payloads: string[] = []
const server = createServer(async (request, response) => {
let body = ''
for await (const chunk of request) body += chunk
payloads.push(body)
response.setHeader('Content-Type', 'text/event-stream')
const content = payloads.length === 1 ? 'Project codename: Cedar.' : 'Cedar'
response.end(`data: ${JSON.stringify({ choices: [{ delta: { content }, finish_reason: null }] })}\n\ndata: [DONE]\n\n`)
})
await new Promise<void>(resolve => server.listen(0, '127.0.0.1', resolve))
const address = server.address()
assert(address && typeof address !== 'string')
const settingsStore = new RuntimeSettingsStore(join(directory, 'runtime.json'), {
isAvailable: () => false, encrypt: () => { throw new Error('No credentials') }, decrypt: () => { throw new Error('No credentials') }
}, {})
const profileId = randomUUID()
await settingsStore.update({ ...defaultRuntimeSettings, apiKey: { action: 'keep' }, provider: 'model', workspacePath: directory,
deepseekHarnessModelSource: { kind: 'platform' },
modelProfiles: [{ id: profileId, name: 'Local text fixture', baseUrl: `http://127.0.0.1:${address.port}/v1`,
modelName: 'selected-text', protocol: 'openai-chat-completions', authentication: 'none',
imageGenerationQuality: 'auto', apiKey: { action: 'keep' } }],
defaultModelProfileId: profileId,
contextCompression: { ...defaultRuntimeSettings.contextCompression, enabled: false }
})
const settings = await settingsStore.getResolvedSettings()
const runtime = createModelProfileRuntime(directory, settings, settings.modelProfiles[0]!)
const win = new BrowserWindow({ show: true, width: 1280, height: 900, webPreferences: {
sandbox: true, contextIsolation: true, nodeIntegration: false, backgroundThrottling: false,
preload: join(directory, 'preload.cjs')
} })
const database = new AssistantDatabase(join(directory, 'assistant.sqlite'))
database.initialize(directory)
const project = database.listProjects()[0]!
const header = { id: randomUUID(), title: 'Manual compaction', projectId: project.id,
runtimeSelection: { provider: 'model' as const, profileId }, updatedAt: Date.now() }
const messages = ['Remember the project codename is Cedar.', 'Codename recorded.', 'Meeting is Tuesday.', 'Tuesday recorded.']
.map((content, index) => ({ id: randomUUID(), role: index % 2 ? 'assistant' as const : 'user' as const,
content, state: 'complete' as const, createdAt: Date.now() + index }))
database.saveLocalConversations([{ header, messages }])
const applicationSettings = new ApplicationSettingsStore(join(directory, 'application.json'))
await applicationSettings.update({ checkUpdatesOnStartup: false })
// Only unrelated App services are fixtures; compaction, model HTTP and persistence use production code.
const dispose = registerIpcHandlers(win, runtime, 'CommandOrControl+Shift+Space', settingsStore,
{} as never, { clear() {}, cancelImport() {}, getDraft: () => [] } as never,
{ snapshot: () => ({ libraries: [], sources: [], documents: [], entities: [], relations: [], evidence: [], tasks: [] }),
database: { externalStore: { listBindings: () => [] } }, external: { listInstances: () => [] } } as never, database,
{ clear() {} } as never, {} as never, async () => {}, undefined, undefined, undefined, undefined, applicationSettings,
undefined, undefined, undefined, undefined, undefined, undefined, undefined, undefined, undefined, undefined,
{ getPending: async () => undefined } as never)
const run = <T = unknown>(script: string): Promise<T> => win.webContents.executeJavaScript(script, true)
async function wait(check: () => Promise<unknown> | unknown, label: string): Promise<void> {
for (let i = 0; i < 400; i++) {
if (await check()) return
await new Promise(resolve => setTimeout(resolve, 50))
}
throw new Error(`Timed out: ${label}`)
}
try {
await win.loadURL(process.env.GB_COMPACT_URL!)
const button = `[...document.querySelectorAll('button')].find(e => e.textContent.trim() === 'Compact context')`
await wait(() => run(`Boolean(${button}) && !${button}.disabled`), 'manual button with auto disabled')
await run(`${button}.click()`)
await wait(() => database.getConversation(header.id).contextCompressionState, 'summary persisted by App')
const saved = database.getConversation(header.id)
assert.equal(saved.contextCompressionState?.coveredMessageCount, 2)
assert.equal(saved.contextCompressionState?.summary, 'Project codename: Cedar.')
assert.deepEqual(saved.messages.map(message => message.content), messages.map(message => message.content))
assert.equal(payloads.length, 1)
assert.equal(JSON.parse(payloads[0]!).model, 'selected-text')
assert(payloads[0]!.includes(messages[0]!.content))
assert(!payloads[0]!.includes(messages[2]!.content))
await win.reload()
await wait(() => run(`document.body.innerText.includes('Tuesday recorded.')`), 'reload persisted conversation')
const restored = await run<{ contextCompressionState: typeof saved.contextCompressionState }>(
`window.goodbuddy.conversations.get(${JSON.stringify(header.id)})`)
assert.deepEqual(restored.contextCompressionState, saved.contextCompressionState)
// A fresh production Runtime consumes the state returned across the real preload boundary.
const next = createModelProfileRuntime(directory, settings, settings.modelProfiles[0]!)
try {
for await (const event of next.run({ requestId: randomUUID(), conversationId: header.id,
runtimeSelection: header.runtimeSelection, prompt: 'What is the codename?',
history: messages.map(({ role, content }) => ({ role, content })), historyMessageIds: messages.map(({ id }) => id),
contextCompressionState: restored.contextCompressionState
}, AbortSignal.timeout(10000))) {
assert.notEqual(event.type, 'error')
}
} finally { await next.dispose() }
assert.equal(payloads.length, 2)
assert(payloads[1]!.includes(saved.contextCompressionState!.summary))
assert(!payloads[1]!.includes(messages[0]!.content))
assert(payloads[1]!.includes(messages[2]!.content))
console.log(JSON.stringify({ appClick: true, ipc: true, sqliteSaved: true, summaryRestored: true, httpCalls: payloads.length, externalModelCalls: 0 }))
} finally {
await dispose()
await runtime.dispose()
database.close()
win.destroy()
await new Promise<void>(resolve => server.close(() => resolve()))
}
app.exit(0)
}).catch(error => { console.error(error); app.exit(1) })