Files
llm-intelligence/scripts/import_cloudflare_pricing_test.go

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//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)
}
}