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https://github.com/hwchase17/langchain.git
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4b8cd7a09a
- **Description:** change to do the batch embedding server side and not client side - **Twitter handle:** @wildagsx --------- Co-authored-by: ccurme <chester.curme@gmail.com>
116 lines
4.0 KiB
Python
116 lines
4.0 KiB
Python
import json
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import logging
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import time
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from typing import Any, List
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import requests
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from langchain_core.embeddings import Embeddings
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from pydantic import BaseModel, ConfigDict
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logger = logging.getLogger(__name__)
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class OVHCloudEmbeddings(BaseModel, Embeddings):
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"""
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OVHcloud AI Endpoints Embeddings.
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"""
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""" OVHcloud AI Endpoints Access Token"""
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access_token: str = ""
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""" OVHcloud AI Endpoints model name for embeddings generation"""
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model_name: str = ""
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""" OVHcloud AI Endpoints region"""
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region: str = "kepler"
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model_config = ConfigDict(extra="forbid", protected_namespaces=())
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def __init__(self, **kwargs: Any):
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super().__init__(**kwargs)
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if self.access_token == "":
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raise ValueError("Access token is required for OVHCloud embeddings.")
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if self.model_name == "":
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raise ValueError("Model name is required for OVHCloud embeddings.")
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if self.region == "":
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raise ValueError("Region is required for OVHCloud embeddings.")
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def _generate_embedding(self, text: str) -> List[float]:
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"""Generate embeddings from OVHCLOUD AIE.
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Args:
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text (str): The text to embed.
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Returns:
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List[float]: Embeddings for the text.
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"""
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return self._send_request_to_ai_endpoints("text/plain", text, "text2vec")
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def embed_documents(self, texts: List[str]) -> List[List[float]]:
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"""Embed a list of documents.
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Args:
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texts (List[str]): The list of texts to embed.
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Returns:
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List[List[float]]: List of embeddings, one for each input text.
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"""
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return self._send_request_to_ai_endpoints(
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"application/json", json.dumps(texts), "batch_text2vec"
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)
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def embed_query(self, text: str) -> List[float]:
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"""Embed a single query text.
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Args:
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text (str): The text to embed.
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Returns:
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List[float]: Embeddings for the text.
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"""
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return self._generate_embedding(text)
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def _send_request_to_ai_endpoints(
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self, contentType: str, payload: str, route: str
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) -> Any:
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"""Send a HTTPS request to OVHcloud AI Endpoints
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Args:
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contentType (str): The content type of the request, application/json or text/plain.
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payload (str): The payload of the request.
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route (str): The route of the request, batch_text2vec or text2vec.
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""" # noqa: E501
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headers = {
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"content-type": contentType,
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"Authorization": f"Bearer {self.access_token}",
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}
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session = requests.session()
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while True:
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response = session.post(
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(
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f"https://{self.model_name}.endpoints.{self.region}"
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f".ai.cloud.ovh.net/api/{route}"
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),
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headers=headers,
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data=payload,
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)
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if response.status_code != 200:
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if response.status_code == 429:
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"""Rate limit exceeded, wait for reset"""
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reset_time = int(response.headers.get("RateLimit-Reset", 0))
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logger.info("Rate limit exceeded. Waiting %d seconds.", reset_time)
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if reset_time > 0:
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time.sleep(reset_time)
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continue
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else:
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"""Rate limit reset time has passed, retry immediately"""
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continue
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if response.status_code == 401:
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""" Unauthorized, retry with new token """
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raise ValueError("Unauthorized, retry with new token")
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""" Handle other non-200 status codes """
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raise ValueError(
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"Request failed with status code: {status_code}, {text}".format(
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status_code=response.status_code, text=response.text
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)
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)
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return response.json()
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