feat: Support gemini embedding model

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

@@ -0,0 +1,45 @@
+# coding=utf-8
+"""
+    @project: MaxKB
+    @Author：虎
+    @file： embedding.py
+    @date：2024/7/12 16:45
+    @desc:
+"""
+from typing import Dict
+
+from common import forms
+from common.exception.app_exception import AppApiException
+from common.forms import BaseForm
+from setting.models_provider.base_model_provider import BaseModelCredential, ValidCode
+
+
+class GeminiEmbeddingCredential(BaseForm, BaseModelCredential):
+    def is_valid(self, model_type: str, model_name, model_credential: Dict[str, object], provider,
+                 raise_exception=True):
+        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_key']:
+            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, f'校验失败,请检查参数是否正确: {str(e)}')
+            else:
+                return False
+        return True
+
+    def encryption_dict(self, model: Dict[str, object]):
+        return {**model, 'api_key': super().encryption(model.get('api_key', ''))}
+
+    api_key = forms.PasswordInputField('API Key', required=True)

apps/setting/models_provider/impl/gemini_model_provider/gemini_model_provider.py

@@ -11,9 +11,11 @@
 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.gemini_model_provider.credential.embedding import GeminiEmbeddingCredential
 from setting.models_provider.impl.gemini_model_provider.credential.image import GeminiImageModelCredential
 from setting.models_provider.impl.gemini_model_provider.credential.llm import GeminiLLMModelCredential
 from setting.models_provider.impl.gemini_model_provider.credential.stt import GeminiSTTModelCredential
+from setting.models_provider.impl.gemini_model_provider.model.embedding import GeminiEmbeddingModel
 from setting.models_provider.impl.gemini_model_provider.model.image import GeminiImage
 from setting.models_provider.impl.gemini_model_provider.model.llm import GeminiChatModel
 from setting.models_provider.impl.gemini_model_provider.model.stt import GeminiSpeechToText
@@ -22,6 +24,7 @@
 gemini_llm_model_credential = GeminiLLMModelCredential()
 gemini_image_model_credential = GeminiImageModelCredential()
 gemini_stt_model_credential = GeminiSTTModelCredential()
+gemini_embedding_model_credential = GeminiEmbeddingCredential()
 
 model_info_list = [
     ModelInfo('gemini-1.0-pro', '最新的Gemini 1.0 Pro模型，随Google更新而更新',
@@ -56,14 +59,23 @@
               GeminiSpeechToText),
 ]
 
+model_embedding_info_list = [
+    ModelInfo('models/embedding-001', '',
+              ModelTypeConst.EMBEDDING,
+              gemini_embedding_model_credential,
+              GeminiEmbeddingModel),
+]
+
 model_info_manage = (
     ModelInfoManage.builder()
     .append_model_info_list(model_info_list)
     .append_model_info_list(model_image_info_list)
     .append_model_info_list(model_stt_info_list)
+    .append_model_info_list(model_embedding_info_list)
     .append_default_model_info(model_info_list[0])
     .append_default_model_info(model_image_info_list[0])
     .append_default_model_info(model_stt_info_list[0])
+    .append_default_model_info(model_embedding_info_list[0])
     .build()
 )
 

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

@@ -0,0 +1,22 @@
+# coding=utf-8
+"""
+    @project: MaxKB
+    @Author：虎
+    @file： embedding.py
+    @date：2024/7/12 17:44
+    @desc:
+"""
+from typing import Dict
+
+from langchain_google_genai import GoogleGenerativeAIEmbeddings
+
+from setting.models_provider.base_model_provider import MaxKBBaseModel
+
+
+class GeminiEmbeddingModel(MaxKBBaseModel, GoogleGenerativeAIEmbeddings):
+    @staticmethod
+    def new_instance(model_type, model_name, model_credential: Dict[str, object], **model_kwargs):
+        return GoogleGenerativeAIEmbeddings(
+            google_api_key=model_credential.get('api_key'),
+            model=model_name,
+        )