解决mlstm保存错误问题

UI/src/views/prediction/GlobalPredictionView.vue

@@ -116,12 +116,12 @@ const filters = reactive({
 
 const pagination = reactive({
   currentPage: 1,
-  pageSize: 8
+  pageSize: 12
 })
 
 const filteredModelList = computed(() => {
   return modelList.value.filter(model => {
-    const modelTypeMatch = !filters.model_type || model.model_type === filters.model_type
+    const modelTypeMatch = !filters.model_type || model.model_type === filters.model_type.id
     return modelTypeMatch
   })
 })

UI/src/views/prediction/ProductPredictionView.vue

@@ -125,13 +125,13 @@ const filters = reactive({
 
 const pagination = reactive({
   currentPage: 1,
-  pageSize: 8
+  pageSize: 12
 })
 
 const filteredModelList = computed(() => {
   return modelList.value.filter(model => {
     const productMatch = !filters.product_id || model.product_id === filters.product_id
-    const modelTypeMatch = !filters.model_type || model.model_type === filters.model_type
+    const modelTypeMatch = !filters.model_type || model.model_type === filters.model_type.id
     return productMatch && modelTypeMatch
   })
 })

UI/src/views/prediction/StorePredictionView.vue

@@ -126,7 +126,7 @@ const filters = reactive({
 
 const pagination = reactive({
   currentPage: 1,
-  pageSize: 8
+  pageSize: 12
 })
 
 const storeNameMap = computed(() => {
@@ -146,7 +146,7 @@ const modelsWithNames = computed(() => {
 const filteredModelList = computed(() => {
   return modelsWithNames.value.filter(model => {
     const storeMatch = !filters.store_id || model.store_id === filters.store_id
-    const modelTypeMatch = !filters.model_type || model.model_type === filters.model_type
+    const modelTypeMatch = !filters.model_type || model.model_type === filters.model_type.id
     return storeMatch && modelTypeMatch
   })
 })

server/trainers/cnn_bilstm_attention_trainer.py

@@ -132,7 +132,7 @@ def train_with_cnn_bilstm_attention(product_id, model_identifier, product_df, st
     loss_curve_path = plot_loss_curve(
         loss_history['train'],
         loss_history['val'],
-        product_name,
+        model_identifier,
         'cnn_bilstm_attention',
         model_dir=model_dir
     )

server/trainers/mlstm_trainer.py

@@ -393,19 +393,9 @@ def train_product_model_with_mlstm(
     
     emit_progress("生成损失曲线...", progress=95)
     
-    # 确定模型保存目录（支持多店铺）
-    if store_id:
-        # 为特定店铺创建子目录
-        store_model_dir = os.path.join(model_dir, 'mlstm', store_id)
-        os.makedirs(store_model_dir, exist_ok=True)
-        loss_curve_filename = f"{product_id}_mlstm_{version}_loss_curve.png"
-        loss_curve_path = os.path.join(store_model_dir, loss_curve_filename)
-    else:
-        # 全局模型保存在global目录
-        global_model_dir = os.path.join(model_dir, 'mlstm', 'global')
-        os.makedirs(global_model_dir, exist_ok=True)
-        loss_curve_filename = f"{product_id}_mlstm_{version}_global_loss_curve.png"
-        loss_curve_path = os.path.join(global_model_dir, loss_curve_filename)
+    # 确定模型保存目录
+    loss_curve_filename = f"{model_identifier}_mlstm_{version}_loss_curve.png"
+    loss_curve_path = os.path.join(model_dir, loss_curve_filename)
     
     # 绘制损失曲线并保存到模型目录
     plt.figure(figsize=(10, 6))