83 lines
2.2 KiB
Python
83 lines
2.2 KiB
Python
from typing import List
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import aiohttp
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import asyncio
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from tenacity import retry, retry_if_exception_type, stop_after_attempt, wait_exponential
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import logging
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class RerankerBgeSiliconapi:
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def __init__(
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self,
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api_key: str,
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base_url: str,
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model: str = "BAAI/bge-reranker-v2-m3",
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):
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self.api_key = api_key
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self.base_url = base_url
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self.model = model
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# return_documents: bool = True,
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@retry(
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stop=stop_after_attempt(3),
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wait=wait_exponential(multiplier=1, max=30),
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retry=retry_if_exception_type((aiohttp.ClientError, asyncio.TimeoutError)),
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reraise=True,
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after=lambda retry_state: logging.warning(f"Retrying SiliconReranker due to error: {retry_state.outcome.exception()}"),
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)
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async def __call__(
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self,
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documents: List[str],
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query: str,
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top_n: int,
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) -> List[str]:
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url = f"{self.base_url}/rerank"
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payload = {
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"model": self.model,
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"query": query,
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"documents": documents,
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"top_n": top_n,
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"return_documents": True,
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}
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headers = {
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'Accept': 'application/json',
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'Authorization': f'Bearer {self.api_key}',
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'Content-Type': 'application/json'
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}
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async with aiohttp.ClientSession() as session:
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async with session.post(url, json=payload, headers=headers) as resp:
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response = await resp.json()
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if resp.status >= 400:
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raise RuntimeError(f"Rerank request failed with HTTP {resp.status}: {response}")
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"""
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{
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"id": "<string>",
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"results": [
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{
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"document": {
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"text": "<string>"
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},
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"index": 123,
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"relevance_score": 123
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}
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],
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"tokens": {
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"input_tokens": 123,
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"output_tokens": 123
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}
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}
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"""
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results = []
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for result in response["results"]:
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results.append((result["document"]["text"], result["relevance_score"]))
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return results |