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# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
# KIND, either express or implied. See the License for the
# specific language governing permissions and limitations
# under the License.
from typing import Optional, List
import os
import openai
class OpenAIEmbedding:
def __init__(
self,
model_name: str = "text-embedding-3-small",
api_key: Optional[str] = None,
api_base: Optional[str] = None
):
openai.api_key = api_key or os.getenv("OPENAI_API_KEY")
openai.api_base = api_base or os.getenv("OPENAI_API_BASE")
self.embedding_model_name = model_name
self.client = openai.Embedding()
def get_text_embedding(self, text: str) -> List[float]:
"""Comment"""
response = self.client.create(input=text, model=self.embedding_model_name)
return response.data[0].embedding
async def async_get_text_embedding(self, text: str) -> List[float]:
"""Comment"""
response = await self.client.acreate(input=text, model=self.embedding_model_name)
return response.data[0].embedding