feat(import): add explicit zhipu release metadata

scripts/import_zhipu_data.go

@@ -6,6 +6,7 @@ import (
 	"database/sql"
 	"log"
 	"os"
+	"strings"
 	"time"
 
 	_ "github.com/lib/pq"
@@ -25,6 +26,7 @@ type ModelPricing struct {
 	ContextLength   int
 	IsFree          bool
 	SourceURL       string
+	ModelSourceURL  string
 	ReleaseDate     string
 	Modality        string
 	SceneTags       []string
@@ -41,6 +43,68 @@ func releaseDateValue(raw string) time.Time {
 	return parsed
 }
 
+type zhipuModelMetadata struct {
+	Prefix         string
+	ReleaseDate    string
+	ModelSourceURL string
+}
+
+var zhipuModelMetadataRules = []zhipuModelMetadata{
+	{
+		Prefix:         "glm-5-turbo",
+		ReleaseDate:    "2026-03-15",
+		ModelSourceURL: "https://www.zhipuai.cn/en/research/155",
+	},
+	{
+		Prefix:         "glm-5.1",
+		ReleaseDate:    "2026-04-07",
+		ModelSourceURL: "https://www.zhipuai.cn/zh/research",
+	},
+	{
+		Prefix:         "glm-5",
+		ReleaseDate:    "2026-02-11",
+		ModelSourceURL: "https://www.zhipuai.cn/zh/research/154",
+	},
+	{
+		Prefix:         "glm-4.7-flash",
+		ReleaseDate:    "2026-01-19",
+		ModelSourceURL: "https://www.zhipuai.cn/zh/news/148",
+	},
+	{
+		Prefix:         "glm-4.7",
+		ReleaseDate:    "2025-12-21",
+		ModelSourceURL: "https://www.zhipuai.cn/zh/research",
+	},
+	{
+		Prefix:         "glm-4.6v",
+		ReleaseDate:    "2025-12-07",
+		ModelSourceURL: "https://www.zhipuai.cn/zh/research/144",
+	},
+	{
+		Prefix:         "glm-tts",
+		ReleaseDate:    "2025-12-10",
+		ModelSourceURL: "https://www.zhipuai.cn/zh/research",
+	},
+}
+
+func enrichZhipuModelMetadata(model ModelPricing) ModelPricing {
+	for _, metadata := range zhipuModelMetadataRules {
+		if strings.HasPrefix(model.ModelID, metadata.Prefix) {
+			if metadata.ReleaseDate != "" {
+				model.ReleaseDate = metadata.ReleaseDate
+			}
+			if metadata.ModelSourceURL != "" {
+				model.ModelSourceURL = metadata.ModelSourceURL
+			}
+			return model
+		}
+	}
+	if model.ModelSourceURL == "" {
+		model.ModelSourceURL = model.SourceURL
+	}
+	return model
+}
+
 func main() {
 	dsn := os.Getenv("DATABASE_URL")
 	if dsn == "" {
@@ -125,7 +189,8 @@ func main() {
 	log.Printf("Importing %d Zhipu AI models...", len(prices))
 
 	// Save to database
-	for _, p := range prices {
+	for _, rawPricing := range prices {
+		p := enrichZhipuModelMetadata(rawPricing)
 		// Find or create provider
 		var providerID int64
 		err := db.QueryRow("SELECT id FROM model_provider WHERE name = $1", p.ProviderName).Scan(&providerID)
@@ -161,7 +226,7 @@ func main() {
 			err = db.QueryRow(
 				`INSERT INTO models (external_id, name, provider_id, modality, context_length, status, source, batch_id, source_url, release_date) 
 				 VALUES ($1, $2, $3, $4, $5, 'active', $6, $7, $8, $9) RETURNING id`,
-				p.ModelID, p.ModelName, providerID, p.Modality, p.ContextLength, p.OperatorName, batchID, p.SourceURL, releaseDateValue(p.ReleaseDate),
+				p.ModelID, p.ModelName, providerID, p.Modality, p.ContextLength, p.OperatorName, batchID, firstNonEmpty(p.ModelSourceURL, p.SourceURL), releaseDateValue(p.ReleaseDate),
 			).Scan(&modelID)
 		}
 		if err != nil {
@@ -174,7 +239,7 @@ func main() {
 			     release_date = COALESCE(release_date, $3),
 			     updated_at = CURRENT_TIMESTAMP
 			 WHERE id = $1`,
-			modelID, p.SourceURL, releaseDateValue(p.ReleaseDate),
+			modelID, firstNonEmpty(p.ModelSourceURL, p.SourceURL), releaseDateValue(p.ReleaseDate),
 		)
 
 		// Insert pricing
@@ -211,3 +276,12 @@ func main() {
 
 	log.Printf("Successfully imported %d Zhipu AI models", len(prices))
 }
+
+func firstNonEmpty(values ...string) string {
+	for _, value := range values {
+		if value != "" {
+			return value
+		}
+	}
+	return ""
+}

scripts/import_zhipu_data_test.go

@@ -0,0 +1,72 @@
+//go:build llm_script
+
+package main
+
+import "testing"
+
+func TestEnrichZhipuModelMetadataUsesSpecificFamilyRules(t *testing.T) {
+	cases := []struct {
+		modelID         string
+		wantReleaseDate string
+		wantSourceURL   string
+	}{
+		{
+			modelID:         "glm-5.1-32k",
+			wantReleaseDate: "2026-04-07",
+			wantSourceURL:   "https://www.zhipuai.cn/zh/research",
+		},
+		{
+			modelID:         "glm-5-turbo-32k",
+			wantReleaseDate: "2026-03-15",
+			wantSourceURL:   "https://www.zhipuai.cn/en/research/155",
+		},
+		{
+			modelID:         "glm-5-32k",
+			wantReleaseDate: "2026-02-11",
+			wantSourceURL:   "https://www.zhipuai.cn/zh/research/154",
+		},
+		{
+			modelID:         "glm-4.7-flash",
+			wantReleaseDate: "2026-01-19",
+			wantSourceURL:   "https://www.zhipuai.cn/zh/news/148",
+		},
+		{
+			modelID:         "glm-4.6v-flashx",
+			wantReleaseDate: "2025-12-07",
+			wantSourceURL:   "https://www.zhipuai.cn/zh/research/144",
+		},
+		{
+			modelID:         "glm-tts-clone",
+			wantReleaseDate: "2025-12-10",
+			wantSourceURL:   "https://www.zhipuai.cn/zh/research",
+		},
+	}
+
+	for _, tc := range cases {
+		enriched := enrichZhipuModelMetadata(ModelPricing{
+			ModelID:   tc.modelID,
+			SourceURL: "https://open.bigmodel.cn/pricing",
+		})
+
+		if enriched.ReleaseDate != tc.wantReleaseDate {
+			t.Fatalf("%s release date = %q, want %q", tc.modelID, enriched.ReleaseDate, tc.wantReleaseDate)
+		}
+		if enriched.ModelSourceURL != tc.wantSourceURL {
+			t.Fatalf("%s source url = %q, want %q", tc.modelID, enriched.ModelSourceURL, tc.wantSourceURL)
+		}
+	}
+}
+
+func TestEnrichZhipuModelMetadataFallsBackToPricingSource(t *testing.T) {
+	enriched := enrichZhipuModelMetadata(ModelPricing{
+		ModelID:   "glm-unknown-preview",
+		SourceURL: "https://open.bigmodel.cn/pricing",
+	})
+
+	if enriched.ReleaseDate != "" {
+		t.Fatalf("unexpected release date: %q", enriched.ReleaseDate)
+	}
+	if enriched.ModelSourceURL != "https://open.bigmodel.cn/pricing" {
+		t.Fatalf("model source url = %q, want pricing source fallback", enriched.ModelSourceURL)
+	}
+}