//go:build llm_script package main import ( "bytes" "os" "path/filepath" "strings" "testing" ) func TestParseSensenovaPricingCatalogBuildsRecords(t *testing.T) { raw, err := os.ReadFile(filepath.Join("testdata", "sensenova_pricing_sample.txt")) if err != nil { t.Fatalf("读取 fixture 失败: %v", err) } fixture, err := splitSensenovaFixture(string(raw)) if err != nil { t.Fatalf("splitSensenovaFixture 返回错误: %v", err) } records, err := parseSensenovaPricingCatalog(fixture) if err != nil { t.Fatalf("parseSensenovaPricingCatalog 返回错误: %v", err) } if len(records) != 3 { t.Fatalf("期望 3 条商汤价格记录,实际 %d", len(records)) } if records[0].ModelID != "sensenova-sensenova-6-7-flash-lite" { t.Fatalf("首条 modelID 错误: %q", records[0].ModelID) } if !records[0].IsFree || records[0].InputPrice != 0 || records[0].OutputPrice != 0 { t.Fatalf("Flash-Lite 免费定价错误: free=%v input=%v output=%v", records[0].IsFree, records[0].InputPrice, records[0].OutputPrice) } if records[0].ContextLength != 262144 || records[0].Modality != "multimodal" { t.Fatalf("Flash-Lite 上下文/模态错误: ctx=%d modality=%q", records[0].ContextLength, records[0].Modality) } if records[1].ModelID != "sensenova-sensenova-u1-fast" || records[1].Modality != "vision" { t.Fatalf("U1 Fast 记录错误: %+v", records[1]) } if records[2].ProviderName != "DeepSeek" || records[2].ContextLength != 262144 { t.Fatalf("DeepSeek V4 Flash provider/context 错误: provider=%q ctx=%d", records[2].ProviderName, records[2].ContextLength) } } func TestParseSensenovaPricingCatalogSupportsModelsOverviewTable(t *testing.T) { raw, err := os.ReadFile(filepath.Join("testdata", "sensenova_pricing_sample.txt")) if err != nil { t.Fatalf("读取 fixture 失败: %v", err) } fixture, err := splitSensenovaFixture(string(raw)) if err != nil { t.Fatalf("splitSensenovaFixture 返回错误: %v", err) } fixture.DocsHTML = `

GET https://token.sensenova.cn/v1/models

{"pricing":{"prompt":"0","completion":"0","image":"0","request":"0"}}
SenseNova 6.7 Flash-Litesensenova-6.7-flash-lite每5小时1500次面向真实工作流的轻量多模态智能体模型,支持文本对话与图像输入理解
SenseNova U1 Fastsensenova-u1-fast每5小时1500次基于 SenseNova U1 的加速版本,专供信息图(Infographics)生成
DeepSeek V4 Flashdeepseek-v4-flash每5小时500次DeepSeek 高性能对话模型,支持思考/非思考模式、256K 上下文、工具调用

图像输入理解

上下文长度 256K tokens

POST https://token.sensenova.cn/v1/images/generations

256K 上下文

` records, err := parseSensenovaPricingCatalog(fixture) if err != nil { t.Fatalf("parseSensenovaPricingCatalog 返回错误: %v", err) } if len(records) != 3 { t.Fatalf("期望 3 条商汤价格记录,实际 %d", len(records)) } if records[2].ModelID != "sensenova-deepseek-v4-flash" { t.Fatalf("DeepSeek 记录未从新模型总览表解析出来: %+v", records[2]) } } func TestRunSensenovaPricingImportDryRunPrintsSummary(t *testing.T) { var out bytes.Buffer err := runSensenovaPricingImport(sensenovaPricingImportConfig{ DocsURL: defaultSensenovaDocsURL, ModelsURL: defaultSensenovaModelsURL, Fixture: filepath.Join("testdata", "sensenova_pricing_sample.txt"), DryRun: true, }, nil, &out) if err != nil { t.Fatalf("runSensenovaPricingImport 返回错误: %v", err) } output := out.String() for _, want := range []string{ "source=sensenova-pricing-import", "models=3", "operator=SenseNova API", "dry_run=true", } { if !strings.Contains(output, want) { t.Fatalf("输出缺少 %q,实际: %q", want, output) } } }