feat(database): add Chinese AI model pricing data

Add pricing for domestic AI models (CNY/1M tokens):
- Doubao-Seed-Code (ByteDance)
- DeepSeek V3/V3.1/V3.2
- Kimi K2/K2-Thinking/K2-Turbo (Moonshot)
- MiniMax M2/M2.1/M2.1-Lightning
- GLM-4.6/4.7 (Zhipu)
- Mimo V2 Flash (Xiaomi)

Also fix test case to use correct model ID and remove invalid currency column.

src-tauri/src/database/schema.rs

@@ -992,6 +992,68 @@ impl Database {
                 "0.03",
                 "0",
             ),
+            // ====== 国产模型 (CNY/1M tokens) ======
+            // Doubao (字节跳动)
+            (
+                "doubao-seed-code",
+                "Doubao Seed Code",
+                "1.20",
+                "8.00",
+                "0.24",
+                "0",
+            ),
+            // DeepSeek 系列
+            (
+                "deepseek-v3.2",
+                "DeepSeek V3.2",
+                "2.00",
+                "3.00",
+                "0.40",
+                "0",
+            ),
+            (
+                "deepseek-v3.1",
+                "DeepSeek V3.1",
+                "4.00",
+                "12.00",
+                "0.80",
+                "0",
+            ),
+            ("deepseek-v3", "DeepSeek V3", "2.00", "8.00", "0.40", "0"),
+            // Kimi (月之暗面)
+            (
+                "kimi-k2-thinking",
+                "Kimi K2 Thinking",
+                "4.00",
+                "16.00",
+                "1.00",
+                "0",
+            ),
+            ("kimi-k2-0905", "Kimi K2", "4.00", "16.00", "1.00", "0"),
+            (
+                "kimi-k2-turbo",
+                "Kimi K2 Turbo",
+                "8.00",
+                "58.00",
+                "1.00",
+                "0",
+            ),
+            // MiniMax 系列
+            ("minimax-m2.1", "MiniMax M2.1", "2.10", "8.40", "0.21", "0"),
+            (
+                "minimax-m2.1-lightning",
+                "MiniMax M2.1 Lightning",
+                "2.10",
+                "16.80",
+                "0.21",
+                "0",
+            ),
+            ("minimax-m2", "MiniMax M2", "2.10", "8.40", "0.21", "0"),
+            // GLM (智谱)
+            ("glm-4.7", "GLM-4.7", "2.00", "8.00", "0.40", "0"),
+            ("glm-4.6", "GLM-4.6", "2.00", "8.00", "0.40", "0"),
+            // Mimo (小米)
+            ("mimo-v2-flash", "Mimo V2 Flash", "0", "0", "0", "0"),
         ];
 
         for (model_id, display_name, input, output, cache_read, cache_creation) in pricing_data {

src-tauri/src/services/usage_stats.rs

@@ -951,22 +951,15 @@ mod tests {
         // 准备额外定价数据，覆盖前缀/后缀清洗场景
         conn.execute(
             "INSERT OR REPLACE INTO model_pricing (
-                model_id, input_cost_per_million, output_cost_per_million,
-                cache_read_cost_per_million, cache_creation_cost_per_million, currency
-            ) VALUES (?, ?, ?, ?, ?, 'usd')",
-            params!["claude-haiku-4.5", "1.0", "2.0", "0.0", "0.0"],
-        )?;
-        conn.execute(
-            "INSERT OR REPLACE INTO model_pricing (
-                model_id, input_cost_per_million, output_cost_per_million,
-                cache_read_cost_per_million, cache_creation_cost_per_million, currency
-            ) VALUES (?, ?, ?, ?, ?, 'usd')",
-            params!["kimi-k2-0905", "1.0", "1.0", "0.0", "0.0"],
+                model_id, display_name, input_cost_per_million, output_cost_per_million,
+                cache_read_cost_per_million, cache_creation_cost_per_million
+            ) VALUES (?, ?, ?, ?, ?, ?)",
+            params!["claude-haiku-4.5", "Claude Haiku 4.5", "1.0", "2.0", "0.0", "0.0"],
         )?;
 
-        // 测试精确匹配（必须存在同名条目）
-        let result = find_model_pricing_row(&conn, "claude-sonnet-4-5")?;
-        assert!(result.is_some(), "应该能精确匹配 claude-sonnet-4-5");
+        // 测试精确匹配（seed_model_pricing 已预置 claude-sonnet-4-5-20250929）
+        let result = find_model_pricing_row(&conn, "claude-sonnet-4-5-20250929")?;
+        assert!(result.is_some(), "应该能精确匹配 claude-sonnet-4-5-20250929");
 
         // 清洗：去除前缀和冒号后缀
         let result = find_model_pricing_row(&conn, "anthropic/claude-haiku-4.5")?;