fix(tencent): detect promotional token plans

Relax the Tencent catalog plan matcher so monthly promotional plans are parsed by structure instead of a hard-coded plan-name list.

This keeps first-month promotional packages in the catalog and adds a regression sample plus parser test coverage.

scripts/fetch_tencent_catalog_test.go

@@ -96,3 +96,33 @@ func TestRunTencentCatalogDryRunPrintsSummary(t *testing.T) {
 		}
 	}
 }
+
+func TestParseTencentCatalogExtractsPromotionalPlans(t *testing.T) {
+	raw, err := os.ReadFile(filepath.Join("testdata", "tencent_token_plan_promo_sample.txt"))
+	if err != nil {
+		t.Fatalf("读取促销样例失败: %v", err)
+	}
+
+	catalog, err := parseTencentCatalog(string(raw))
+	if err != nil {
+		t.Fatalf("parseTencentCatalog 失败: %v", err)
+	}
+
+	if len(catalog.Plans) != 2 {
+		t.Fatalf("期望 2 个套餐，实际 %d", len(catalog.Plans))
+	}
+
+	first := catalog.Plans[0]
+	if first.Series != "通用 Token Plan" {
+		t.Fatalf("套餐系列错误: %q", first.Series)
+	}
+	if first.Tier != "首月活动版" {
+		t.Fatalf("促销套餐档位错误: %q", first.Tier)
+	}
+	if first.Price != "19元/月" {
+		t.Fatalf("促销套餐价格错误: %q", first.Price)
+	}
+	if first.Scene != "首购用户首月优惠，次月恢复标准价。" {
+		t.Fatalf("促销套餐说明错误: %q", first.Scene)
+	}
+}

scripts/tencent_catalog_lib.go

@@ -188,22 +188,7 @@ func extractSeriesHeading(line string) string {
 }
 
 func tryParseTencentPlan(lines []string, start int, series string) (tencentPlan, int, bool) {
-	if start+4 >= len(lines) {
+	if !looksLikeTencentPlan(lines, start) {
-		return tencentPlan{}, start, false
-	}
-	if !isTencentPlanName(lines[start]) {
-		return tencentPlan{}, start, false
-	}
-	if !isTencentPlanTier(lines[start+1]) {
-		return tencentPlan{}, start, false
-	}
-	if !strings.Contains(lines[start+2], "订阅月") {
-		return tencentPlan{}, start, false
-	}
-	if !strings.Contains(lines[start+3], "Tokens") {
-		return tencentPlan{}, start, false
-	}
-	if !strings.Contains(lines[start+4], "元/月") {
 		return tencentPlan{}, start, false
 	}
 
@@ -216,7 +201,7 @@ func tryParseTencentPlan(lines []string, start int, series string) (tencentPlan,
 	}
 
 	nextIndex := start + 4
-	if start+5 < len(lines) && !strings.HasPrefix(lines[start+5], "### ") && !isTencentPlanName(lines[start+5]) {
+	if start+5 < len(lines) && !strings.HasPrefix(lines[start+5], "### ") && !looksLikeTencentPlan(lines, start+5) {
 		plan.Scene = lines[start+5]
 		nextIndex = start + 5
 	}
@@ -247,7 +232,7 @@ func tryParseTencentModel(lines []string, start int, series string) (tencentMode
 		if strings.HasPrefix(line, "## ") || strings.HasPrefix(line, "### ") {
 			break
 		}
-		if isTencentPlanName(line) && i+1 < len(lines) && isTencentPlanTier(lines[i+1]) {
+		if looksLikeTencentPlan(lines, i) {
 			break
 		}
 		if i+1 < len(lines) && isTencentModelID(lines[i+1]) && !isReservedTencentLine(line) {
@@ -262,19 +247,32 @@ func tryParseTencentModel(lines []string, start int, series string) (tencentMode
 	return model, nextIndex, true
 }
 
-func isTencentPlanName(line string) bool {
-	switch line {
-	case "体验套餐", "基础套餐", "进阶套餐", "专业套餐":
-		return true
-	default:
-		return false
-	}
-}
-
 func isTencentPlanTier(line string) bool {
 	return strings.HasPrefix(line, "（") && strings.HasSuffix(line, "）")
 }
 
+func looksLikeTencentPlan(lines []string, start int) bool {
+	if start+4 >= len(lines) {
+		return false
+	}
+	if isReservedTencentLine(lines[start]) {
+		return false
+	}
+	if isTencentModelID(lines[start]) {
+		return false
+	}
+	if !isTencentPlanTier(lines[start+1]) {
+		return false
+	}
+	if !strings.Contains(lines[start+2], "订阅月") {
+		return false
+	}
+	if !strings.Contains(lines[start+3], "Tokens") {
+		return false
+	}
+	return strings.Contains(lines[start+4], "元/月")
+}
+
 func isReservedTencentLine(line string) bool {
 	if strings.HasPrefix(line, "#") {
 		return true

scripts/testdata/tencent_token_plan_promo_sample.txt

@@ -0,0 +1,27 @@
+# Token Plan 个人版套餐概览
+最近更新时间：2026-05-14 09:00:00
+
+## 通用 Token Plan 套餐
+### 套餐详情
+首月活动套餐
+（首月活动版）
+每订阅月
+3500万 Tokens
+19元/月
+首购用户首月优惠，次月恢复标准价。
+
+基础套餐
+（Standard）
+每订阅月
+1亿 Tokens
+99元/月
+日常使用，高性价比。
+
+### 可用模型
+GLM-5
+glm-5
+深度思考、文本生成
+
+Hunyuan-T1
+hunyuan-t1
+文本生成