feat: Support Azure embedding model

apps/setting/models_provider/impl/azure_model_provider/azure_model_provider.py

@@ -11,18 +11,39 @@ import os
 from common.util.file_util import get_file_content
 from setting.models_provider.base_model_provider import IModelProvider, ModelProvideInfo, ModelInfo, \
     ModelTypeConst, ModelInfoManage
+from setting.models_provider.impl.azure_model_provider.credential.embedding import AzureOpenAIEmbeddingCredential
 from setting.models_provider.impl.azure_model_provider.credential.llm import AzureLLMModelCredential
 from setting.models_provider.impl.azure_model_provider.model.azure_chat_model import AzureChatModel
+from setting.models_provider.impl.azure_model_provider.model.embedding import AzureOpenAIEmbeddingModel
 from smartdoc.conf import PROJECT_DIR
 
 base_azure_llm_model_credential = AzureLLMModelCredential()
+base_azure_embedding_model_credential = AzureOpenAIEmbeddingCredential()
 
 default_model_info = ModelInfo('Azure OpenAI', '具体的基础模型由部署名决定', ModelTypeConst.LLM,
                                base_azure_llm_model_credential, AzureChatModel, api_version='2024-02-15-preview'
                                )
 
-model_info_manage = ModelInfoManage.builder().append_default_model_info(default_model_info).append_model_info(
-    default_model_info).build()
+embedding_model_info = [
+    ModelInfo('text-embedding-3-large', '具体的基础模型由部署名决定', ModelTypeConst.EMBEDDING,
+              base_azure_embedding_model_credential, AzureOpenAIEmbeddingModel, api_version='2023-05-15'
+              ),
+    ModelInfo('text-embedding-3-small', '', ModelTypeConst.EMBEDDING,
+              base_azure_embedding_model_credential, AzureOpenAIEmbeddingModel, api_version='2023-05-15'
+              ),
+    ModelInfo('text-embedding-ada-002', '', ModelTypeConst.EMBEDDING,
+              base_azure_embedding_model_credential, AzureOpenAIEmbeddingModel, api_version='2023-05-15'
+              ),
+]
+
+model_info_manage = (
+    ModelInfoManage.builder()
+    .append_default_model_info(default_model_info)
+    .append_model_info(default_model_info)
+    .append_model_info_list(embedding_model_info)
+    .append_default_model_info(embedding_model_info[0])
+    .build()
+)
 
 
 class AzureModelProvider(IModelProvider):

apps/setting/models_provider/impl/azure_model_provider/credential/embedding.py

@@ -0,0 +1,55 @@
+# coding=utf-8
+"""
+    @project: MaxKB
+    @Author：虎
+    @file： llm.py
+    @date：2024/7/11 17:08
+    @desc:
+"""
+from typing import Dict
+
+from langchain_core.messages import HumanMessage
+
+from common import forms
+from common.exception.app_exception import AppApiException
+from common.forms import BaseForm, TooltipLabel
+from setting.models_provider.base_model_provider import BaseModelCredential, ValidCode
+
+
+
+class AzureOpenAIEmbeddingCredential(BaseForm, BaseModelCredential):
+
+    def is_valid(self, model_type: str, model_name, model_credential: Dict[str, object], provider,
+                 raise_exception=False):
+        model_type_list = provider.get_model_type_list()
+        if not any(list(filter(lambda mt: mt.get('value') == model_type, model_type_list))):
+            raise AppApiException(ValidCode.valid_error.value, f'{model_type} 模型类型不支持')
+
+        for key in ['api_base', 'api_key', 'api_version']:
+            if key not in model_credential:
+                if raise_exception:
+                    raise AppApiException(ValidCode.valid_error.value, f'{key} 字段为必填字段')
+                else:
+                    return False
+        try:
+            model = provider.get_model(model_type, model_name, model_credential)
+            model.embed_query('你好')
+        except Exception as e:
+            if isinstance(e, AppApiException):
+                raise e
+            if raise_exception:
+                raise AppApiException(ValidCode.valid_error.value, '校验失败,请检查参数是否正确')
+            else:
+                return False
+
+        return True
+
+    def encryption_dict(self, model: Dict[str, object]):
+        return {**model, 'api_key': super().encryption(model.get('api_key', ''))}
+
+    api_version = forms.TextInputField("API 版本 (api_version)", required=True)
+
+    api_base = forms.TextInputField('API 域名 (azure_endpoint)', required=True)
+
+    api_key = forms.PasswordInputField("API Key (api_key)", required=True)
+

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

@@ -0,0 +1,25 @@
+# coding=utf-8
+"""
+    @project: MaxKB
+    @Author：虎
+    @file： embedding.py
+    @date：2024/7/12 17:44
+    @desc:
+"""
+from typing import Dict
+
+from langchain_openai import AzureOpenAIEmbeddings
+
+from setting.models_provider.base_model_provider import MaxKBBaseModel
+
+
+class AzureOpenAIEmbeddingModel(MaxKBBaseModel, AzureOpenAIEmbeddings):
+    @staticmethod
+    def new_instance(model_type, model_name, model_credential: Dict[str, object], **model_kwargs):
+        return AzureOpenAIEmbeddings(
+            model=model_name,
+            openai_api_key=model_credential.get('api_key'),
+            azure_endpoint=model_credential.get('api_base'),
+            openai_api_version=model_credential.get('api_version'),
+            openai_api_type="azure",
+        )