llm-intelligence/scripts/import_360_pricing_test.go

//go:build llm_script

package main

import (
	"bytes"
	"os"
	"path/filepath"
	"strings"
	"testing"
)

func TestParse360PricingCatalogBuildsRecords(t *testing.T) {
	raw, err := os.ReadFile(filepath.Join("testdata", "platform360_pricing_sample.txt"))
	if err != nil {
		t.Fatalf("读取 fixture 失败: %v", err)
	}

	records, err := parse360PricingCatalog(string(raw))
	if err != nil {
		t.Fatalf("parse360PricingCatalog 返回错误: %v", err)
	}
	if len(records) != 4 {
		t.Fatalf("期望 4 条 360 价格记录，实际 %d", len(records))
	}
	if records[0].ModelID != "360-deepseek-deepseek-v4-flash" {
		t.Fatalf("首条 modelID 错误: %q", records[0].ModelID)
	}
	if records[1].ContextLength != 1000000 {
		t.Fatalf("第二条上下文长度错误: %d", records[1].ContextLength)
	}
}

func TestRun360PricingImportDryRunPrintsSummary(t *testing.T) {
	var out bytes.Buffer
	err := run360PricingImport(platform360PricingImportConfig{
		URL:     default360PricingURL,
		Fixture: filepath.Join("testdata", "platform360_pricing_sample.txt"),
		DryRun:  true,
	}, nil, &out)
	if err != nil {
		t.Fatalf("run360PricingImport 返回错误: %v", err)
	}
	output := out.String()
	for _, want := range []string{
		"source=360-pricing-import",
		"models=4",
		"operator=360 ZhiNao",
		"dry_run=true",
	} {
		if !strings.Contains(output, want) {
			t.Fatalf("输出缺少 %q，实际: %q", want, output)
		}
	}
}