ForcePilot/src/models/rerank_model.py
Wenjie Zhang d26fda4053 更新了很多
- 添加了系统提示词
- 添加了知识库的加载方式
2025-03-20 19:51:46 +08:00

71 lines
2.6 KiB
Python

import os
import json
import requests
import numpy as np
from FlagEmbedding import FlagReranker
from src.config import RERANKER_LIST
from src.utils.logging_config import logger
class LocalReranker(FlagReranker):
def __init__(self, config, **kwargs):
model_info = RERANKER_LIST[config.reranker]
model_name_or_path = config.model_local_paths.get(model_info["name"], model_info.get("local_path"))
model_name_or_path = model_name_or_path or model_info["name"]
logger.info(f"Loading Reranker model {config.reranker} from {model_name_or_path}")
super().__init__(model_name_or_path, use_fp16=True, device=config.device, **kwargs)
logger.info(f"Reranker model {config.reranker} loaded")
def sigmoid(x):
return 1 / (1 + np.exp(-x))
class SilconFlowReranker():
def __init__(self, config, **kwargs):
self.url = "https://api.siliconflow.cn/v1/rerank"
self.model = RERANKER_LIST[config.reranker]["name"]
api_key = os.getenv("SILICONFLOW_API_KEY")
assert api_key, "SILICONFLOW_API_KEY is required"
self.headers = {
"Authorization": f"Bearer {api_key}",
"Content-Type": "application/json"
}
def compute_score(self, sentence_pairs, batch_size = 256, max_length = 512, normalize = False):
# TODO 还没实现 batch_size
query, sentences = sentence_pairs[0], sentence_pairs[1]
payload = self.build_payload(query, sentences, max_length)
response = requests.request("POST", self.url, json=payload, headers=self.headers)
response = json.loads(response.text)
# logger.debug(f"SiliconFlow Reranker response: {response}")
results = sorted(response["results"], key=lambda x: x["index"])
all_scores = [result["relevance_score"] for result in results]
if normalize:
all_scores = [sigmoid(score) for score in all_scores]
return all_scores
def build_payload(self, query, sentences, max_length = 512):
return {
"model": self.model,
"query": query,
"documents": sentences,
"max_chunks_per_doc": max_length,
}
def get_reranker(config):
assert config.reranker in RERANKER_LIST.keys(), f"Unsupported Reranker: {config.reranker}, only support {RERANKER_LIST.keys()}"
provider, model_name = config.reranker.split('/', 1)
if provider == "local":
return LocalReranker(config)
elif provider == "siliconflow":
return SilconFlowReranker(config)
else:
raise ValueError(f"Unsupported Reranker: {config.reranker}, only support {RERANKER_LIST.keys()}")