//go:build llm_script package main import ( "bytes" "os" "path/filepath" "strings" "testing" ) func TestParseCloudflarePricingCatalogBuildsRecords(t *testing.T) { raw, err := os.ReadFile(filepath.Join("testdata", "cloudflare_pricing_sample.md")) if err != nil { t.Fatalf("读取 fixture 失败: %v", err) } records, err := parseCloudflarePricingCatalog(string(raw)) if err != nil { t.Fatalf("parseCloudflarePricingCatalog 返回错误: %v", err) } if len(records) != 4 { t.Fatalf("期望 4 条 Cloudflare 价格记录,实际 %d", len(records)) } if records[0].ModelID != "cloudflare-cf-meta-llama-3-2-1b-instruct" { t.Fatalf("首条 modelID 错误: %q", records[0].ModelID) } if records[1].OutputPrice != 2.253 { t.Fatalf("第二条输出价错误: %v", records[1].OutputPrice) } if records[3].ProviderName != "Moonshot AI" { t.Fatalf("Kimi provider 归一化错误: %q", records[3].ProviderName) } } func TestRunCloudflarePricingImportDryRunPrintsSummary(t *testing.T) { var out bytes.Buffer err := runCloudflarePricingImport(cloudflarePricingImportConfig{ URL: defaultCloudflarePricingFetchURL, Fixture: filepath.Join("testdata", "cloudflare_pricing_sample.md"), DryRun: true, }, nil, &out) if err != nil { t.Fatalf("runCloudflarePricingImport 返回错误: %v", err) } output := out.String() for _, want := range []string{ "source=cloudflare-pricing-import", "models=4", "operator=Cloudflare Workers AI", "dry_run=true", } { if !strings.Contains(output, want) { t.Fatalf("输出缺少 %q,实际: %q", want, output) } } } func TestParseCloudflarePricingCatalogAcceptsFlexibleSectionBoundary(t *testing.T) { raw := ` ## LLM pricing | Model | Price in Tokens | Price in Neurons | | --- | --- | --- | | @cf/meta/llama-3.1-8b-instruct | $0.200 per M input tokens $1.000 per M output tokens | ignored | ## Image generation pricing ` records, err := parseCloudflarePricingCatalog(raw) if err != nil { t.Fatalf("parseCloudflarePricingCatalog 返回错误: %v", err) } if len(records) != 1 { t.Fatalf("期望 1 条 Cloudflare 价格记录,实际 %d", len(records)) } if records[0].ModelName != "@cf/meta/llama-3.1-8b-instruct" { t.Fatalf("模型名错误: %q", records[0].ModelName) } }