Files
WechatExplorer/tests/unit/query-agent-image-ocr-coverage.test.ts
T

138 lines
5.2 KiB
TypeScript

/**
* §6 / §7 / §18:图片文字索引覆盖度在 Query Agent 这一层的语义。
*
* 这里能确定性验证的是"覆盖度**真的进到了模型上下文**",而不是只做了个 UI 数字:
* - 系统提示词把 imageOcrCoverage 定义成**独立于文字索引**的维度,并禁止凭零结果下"没有";
* - tool result 透传里真的带着 imageOcrCoverage(模型能看见比例与结论句)。
*
* 真模型最终怎么说话不在本文件断言范围内(那需要真实模型与真实数据)。
*/
import { describe, expect, it, vi } from 'vitest'
import {
QueryAgentService,
type QueryAgentProvider
} from '../../src/main/services/query-agent-service'
function provider(
responses: Array<Awaited<ReturnType<QueryAgentProvider['chatWithTools']>>>,
configured = true
): QueryAgentProvider {
return {
getRuntimeConfig: () => ({
configured,
providerName: 'Fixture Provider',
model: 'fixture-model',
modelName: 'Fixture Model'
}),
chatWithTools: vi.fn(async () => responses.shift() || { success: true, data: 'done' })
}
}
/** 与 `buildImageOcrCoverage` 在 partial 时产出的结论句保持一致。 */
const PARTIAL_SUMMARY =
'图片文字索引只完成 30%(30 / 100 条图片消息),当前图片搜索结果可能不完整。涉及图片、截图、海报里的文字的问题,当前不能因为没搜到就回答"没有"。'
function searchOnce(execute: ReturnType<typeof vi.fn>, finalAnswer: string): QueryAgentProvider {
return provider([
{
success: true,
toolCalls: [
{
id: 'call-1',
name: 'search_messages',
arguments: JSON.stringify({
target: { query: '技术交流群' },
timeRange: { kind: 'all' },
queries: ['ChatGPT 价格']
})
}
]
},
{ success: true, data: finalAnswer }
])
}
describe('Query Agent 的图片文字索引覆盖度语义', () => {
it('系统提示词把图片覆盖度声明为独立维度,并禁止凭零结果断言"没有"', async () => {
const execute = vi.fn(async () => ({ status: 'completed', evidenceCount: 0, evidence: [] }))
const configured = searchOnce(execute, 'ok')
await new QueryAgentService(configured, execute).run('图片文字索引相关的问题')
const systemPrompt = String(vi.mocked(configured.chatWithTools).mock.calls[0]?.[0]?.[0]?.content)
expect(systemPrompt).toContain('imageOcrCoverage')
expect(systemPrompt).toContain('独立于文字索引')
expect(systemPrompt).toContain('not_built')
// 零结果诚实性必须写死在提示词里,不能指望模型自己想到。
expect(systemPrompt).toContain('绝不能')
})
it('partial 覆盖度随 tool result 进入模型上下文,而不是只留在 UI 里', async () => {
const execute = vi.fn(async () => ({
status: 'completed',
coverage: { state: 'partial' },
evidenceCount: 0,
evidence: [],
imageOcrCoverage: {
state: 'partial',
totalImageMessages: 100,
processed: 30,
indexed: 28,
empty: 2,
missing: 0,
failed: 0,
pending: 70,
countedAtLabel: '09-15 20:13',
summary: PARTIAL_SUMMARY
}
}))
const configured = searchOnce(execute, '图片文字索引只完成 30%,暂时无法确认。')
await new QueryAgentService(configured, execute).run(
'技术交流群之前是不是发过 ChatGPT 价格的图片?'
)
const toolMessage = vi
.mocked(configured.chatWithTools)
.mock.calls[1]?.[0].find((message) => message.role === 'tool')
const presented = JSON.parse(String(toolMessage?.content)) as Record<string, any>
expect(presented.imageOcrCoverage).toMatchObject({
state: 'partial',
totalImageMessages: 100,
processed: 30,
indexed: 28,
empty: 2,
pending: 70
})
expect(presented.imageOcrCoverage.summary).toContain('不能因为没搜到就回答')
})
it('complete 覆盖度不下发零结果约束(避免模型机械附加警告)', async () => {
const execute = vi.fn(async () => ({
status: 'completed',
coverage: { state: 'complete' },
evidenceCount: 1,
evidence: [{ messageRef: 'opaque', timestamp: 1, sender: '张三', sourceKind: 'image', text: 'ChatGPT Plus $20' }],
imageOcrCoverage: {
state: 'complete',
totalImageMessages: 100,
processed: 100,
indexed: 90,
empty: 10,
missing: 0,
failed: 0,
pending: 0,
summary: '图片文字索引已覆盖所统计的全部 100 条图片消息。'
}
}))
const configured = searchOnce(execute, '找到了。')
await new QueryAgentService(configured, execute).run('技术交流群发过 ChatGPT 价格的图片吗')
const toolMessage = vi
.mocked(configured.chatWithTools)
.mock.calls[1]?.[0].find((message) => message.role === 'tool')
const presented = JSON.parse(String(toolMessage?.content)) as Record<string, any>
expect(presented.imageOcrCoverage.state).toBe('complete')
expect(presented.imageOcrCoverage.summary).not.toContain('不能因为没搜到就回答')
})
})