import { describe, expect, it } from 'vitest' import { formatProviderDiagnostics, formatTiming } from '../../src/main/query-agent-poc-report' import type { QueryAgentPocResult } from '../../src/main/services/query-agent-poc-service' function result(patch: Partial = {}): QueryAgentPocResult { return { question: 'q', provider: 'Fixture Provider', model: 'fixture-model', modelCallCount: 0, toolCallCount: 0, toolTotalMs: 0, totalMs: 0, traces: [], modelDurationsMs: [], modelDiagnostics: [], ...patch } } describe('formatTiming', () => { it('处理 0 次模型调用', () => { const text = formatTiming(result({ error: '当前 AI Provider 尚未配置', totalMs: 3 })) expect(text).toContain('(未发生模型调用)') expect(text).toContain('Total') expect(text).toContain('error: 当前 AI Provider 尚未配置') }) it('处理 1 次模型调用 + 0 次工具', () => { const text = formatTiming(result({ modelCallCount: 1, modelDurationsMs: [1234], totalMs: 1234 })) expect(text).toContain('Model #1') expect(text).toContain('1234 ms') expect(text).not.toContain('TM Tools') expect(text).toContain('Model total') expect(text).toContain('100.0%') }) it('处理 2 次模型调用 + 1 次工具,并还原交错顺序', () => { const text = formatTiming( result({ modelCallCount: 2, toolCallCount: 1, modelDurationsMs: [18784, 19690], toolTotalMs: 551, totalMs: 39025 }) ) const model1 = text.indexOf('Model #1') const tools = text.indexOf('TM Tools') const model2 = text.indexOf('Model #2') expect(model1).toBeGreaterThanOrEqual(0) expect(tools).toBeGreaterThan(model1) expect(model2).toBeGreaterThan(tools) expect(text).toContain('38474 ms (98.6%)') expect(text).toContain('551 ms (1.4%)') }) it('处理首次模型调用失败', () => { const text = formatTiming( result({ modelCallCount: 1, modelDurationsMs: [99419], totalMs: 99419, error: '模型服务返回了网页而不是 JSON(HTTP 502 Bad Gateway)' }) ) expect(text).toContain('Model #1') expect(text).toContain('99419 ms') expect(text).toContain('502') }) it('处理末尾模型调用失败(有首次耗时、无 finalModelMs)', () => { const text = formatTiming( result({ modelCallCount: 2, toolCallCount: 1, modelDurationsMs: [800, 1200], toolTotalMs: 300, totalMs: 2300, error: 'AI 请求超时' }) ) expect(text).toContain('Model #2') expect(text).toContain('error: AI 请求超时') }) it('3 次以上模型调用标注为聚合展示', () => { const text = formatTiming(result({ modelCallCount: 3, toolCallCount: 2, modelDurationsMs: [10, 20, 30], toolTotalMs: 5, totalMs: 65 })) expect(text).toContain('Model #3') expect(text).toContain('工具耗时按总计展示') }) it('totalMs 为 0 时不产生 NaN 百分比', () => { const text = formatTiming(result({ modelCallCount: 1, modelDurationsMs: [5], totalMs: 0 })) expect(text).not.toContain('NaN') expect(text).toContain('n/a') }) }) describe('formatProviderDiagnostics', () => { it('输出 provider / model / host 与每次尝试的请求级诊断', () => { const text = formatProviderDiagnostics( result({ provider: 'OpenAI', model: 'gpt-5.6-sol', modelCallCount: 1, modelDiagnostics: [{ index: 1, elapsedMs: 99419, status: 502, contentType: 'text/html', htmlInsteadOfJson: true, error: '模型服务返回了网页而不是 JSON(HTTP 502 Bad Gateway)' }] }), 'relay.example.test' ) expect(text).toContain('provider OpenAI') expect(text).toContain('model gpt-5.6-sol') expect(text).toContain('host relay.example.test') expect(text).toContain('status=502') expect(text).toContain('contentType=text/html') expect(text).toContain('htmlInsteadOfJson=true') expect(text).toContain('upstreamGateway=true') expect(text).toContain('elapsedMs=99419') }) it('标记超时', () => { const text = formatProviderDiagnostics( result({ modelCallCount: 1, modelDiagnostics: [{ index: 1, elapsedMs: 240000, timedOut: true, error: 'AI 请求超时' }] }) ) expect(text).toContain('timedOut=true') expect(text).toContain('(unknown)') }) it('不泄漏凭据:输出中不出现 token / Authorization', () => { const text = formatProviderDiagnostics( result({ modelDiagnostics: [{ index: 1, elapsedMs: 1, status: 200, contentType: 'application/json' }] }), 'relay.example.test' ) expect(text).not.toMatch(/authorization/i) expect(text).not.toMatch(/bearer/i) expect(text).not.toMatch(/sk-/) }) })