fix: 修复知识库文档中若图片不存在，前端对话闪烁问题 (#1483)

apps/common/chunk/impl/mark_chunk_handle.py

@@ -22,14 +22,19 @@ class MarkChunkHandle(IChunkHandle):
         for chunk in chunk_list:
             chunk_result = re.findall(split_chunk_pattern, chunk, flags=re.DOTALL)
             for c_r in chunk_result:
-                result.append(c_r)
+                if len(c_r.strip()) > 0:
+                    result.append(c_r.strip())
+
             other_chunk_list = re.split(split_chunk_pattern, chunk, flags=re.DOTALL)
             for other_chunk in other_chunk_list:
                 if len(other_chunk) > 0:
                     if len(other_chunk) < max_chunk_len:
-                        result.append(other_chunk)
+                        if len(other_chunk.strip()) > 0:
+                            result.append(other_chunk.strip())
                     else:
                         max_chunk_list = re.findall(max_chunk_pattern, other_chunk, flags=re.DOTALL)
                         for m_c in max_chunk_list:
-                            result.append(m_c)
+                            if len(m_c.strip()) > 0:
+                                result.append(m_c.strip())
+
         return result

apps/setting/models_provider/impl/tencent_model_provider/model/embedding.py

@@ -17,7 +17,7 @@ class TencentEmbeddingModel(MaxKBBaseModel, Embeddings):
         request = GetEmbeddingRequest()
         request.Input = text
         res = self.client.GetEmbedding(request)
-        return res.Data
+        return res.Data[0].Embedding
 
     def __init__(self, secret_id: str, secret_key: str, model_name: str):
         self.secret_id = secret_id

ui/src/components/markdown/MdRenderer.vue

@@ -68,9 +68,37 @@ const md_view_list = computed(() => {
       return md_img_list[Math.floor(index / 2)]
     }
   })
-  return split_echarts_rander(split_html_rander(split_quick_question(result)))
+  return split_echarts_rander(split_html_rander(split_quick_question(split_md_img(result))))
 })
+const split_md_img = (result: Array<string>) => {
+  return result
+    .map((item) => split_md_img_(item))
+    .reduce((x: any, y: any) => {
+      return [...x, ...y]
+    }, [])
+}
 
+const split_md_img_ = (source: string) => {
+  const temp_md_img_list = source.match(/(!\[.*?\]\(.*?\){.*?})|(!\[.*?\]\(.*?\))/g)
+  console.log(temp_md_img_list)
+  const md_img_list = temp_md_img_list ? temp_md_img_list.filter((i) => i) : []
+  const split_img_value = source
+    .split(/(!\[.*?\]\(.*?\){.*?})|(!\[.*?\]\(.*?\))/g)
+    .filter((item) => item !== undefined)
+    .filter((item) => !md_img_list?.includes(item))
+  const result = Array.from(
+    { length: md_img_list.length + split_img_value.length },
+    (v, i) => i
+  ).map((index) => {
+    if (index % 2 == 0) {
+      return split_img_value[Math.floor(index / 2)]
+    } else {
+      return md_img_list[Math.floor(index / 2)]
+    }
+  })
+  console.log(result)
+  return result
+}
 const split_quick_question = (result: Array<string>) => {
   return result
     .map((item) => split_quick_question_(item))