50 lines
1.6 KiB
Python
50 lines
1.6 KiB
Python
# coding=utf-8
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"""
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@project: MaxKB
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@Author：虎
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@file： embedding.py
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@date：2024/7/12 17:44
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@desc:
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"""
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from typing import Dict, List
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import openai
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from models_provider.base_model_provider import MaxKBBaseModel
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class OpenAIEmbeddingModel(MaxKBBaseModel):
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model_name: str
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optional_params: dict
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def __init__(self, api_key, base_url, model_name: str, optional_params: dict):
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self.client = openai.OpenAI(api_key=api_key, base_url=base_url).embeddings
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self.model_name = model_name
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self.optional_params = optional_params
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@staticmethod
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def new_instance(model_type, model_name, model_credential: Dict[str, object], **model_kwargs):
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optional_params = MaxKBBaseModel.filter_optional_params(model_kwargs)
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return OpenAIEmbeddingModel(
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api_key=model_credential.get('api_key'),
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model_name=model_name,
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base_url=model_credential.get('api_base'),
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optional_params=optional_params
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)
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def embed_query(self, text: str):
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res = self.embed_documents([text])
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return res[0]
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def embed_documents(
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self, texts: List[str], chunk_size: int | None = None
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) -> List[List[float]]:
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if len(self.optional_params) > 0:
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res = self.client.create(
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input=texts, model=self.model_name, encoding_format="float",
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**self.optional_params
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)
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else:
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res = self.client.create(input=texts, model=self.model_name, encoding_format="float")
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return [e.embedding for e in res.data]
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