213 lines
7.8 KiB
Python
213 lines
7.8 KiB
Python
import asyncio
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import time
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from concurrent.futures import ThreadPoolExecutor
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from threading import Lock
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from typing import TypedDict
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import httpx
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from docutranslate.logger import translater_logger
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MAX_RETRY_COUNT = 2
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MAX_TOTAL_RETRY_COUNT = 10
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class AgentArgs(TypedDict, total=False):
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baseurl: str
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key: str
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model_id: str
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system_prompt: str
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temperature: float
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max_concurrent: int
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timeout: int
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class TotalRetryCounter:
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def __init__(self, ):
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self.lock = Lock()
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self.count = 0
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def add(self):
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self.lock.acquire()
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self.count += 1
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self.lock.release()
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return self.reach_limit()
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def reach_limit(self):
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return self.count > MAX_TOTAL_RETRY_COUNT
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total_retry_counter = TotalRetryCounter()
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# 仅使用多线程时用以计数
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class PromptsCounter:
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def __init__(self, total: int):
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self.lock = Lock()
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self.count = 0
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self.total = total
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def add(self):
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self.lock.acquire()
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self.count += 1
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translater_logger.info(f"多线程-已完成：{self.count}/{self.total}")
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self.lock.release()
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TIMEOUT = 600
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class Agent:
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def __init__(self, baseurl: str = "", key: str = "xx", model_id: str = "", system_prompt: str = "", temperature=0.7,
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max_concurrent=15, timeout: int = TIMEOUT):
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self.baseurl = baseurl.strip()
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if self.baseurl.endswith("/"):
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self.baseurl = self.baseurl[:-1]
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self.key = key.strip()
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self.model_id = model_id.strip()
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self.system_prompt = system_prompt
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self.temperature = temperature
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self.client = httpx.Client(trust_env=False, proxy=None, verify=False)
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self.client_async = httpx.AsyncClient(trust_env=False, proxy=None, verify=False)
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self.max_concurrent = max_concurrent
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self.timeout = timeout
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def _prepare_request_data(self, prompt: str, system_prompt: str, temperature=None, top_p=0.9):
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if temperature is None:
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temperature = self.temperature
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headers = {"Content-Type": "application/json",
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"Authorization": f"Bearer {self.key}"}
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data = {
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"model": self.model_id,
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"messages": [
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{"role": "system", "content": system_prompt},
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# {"role": "system", "content": "所有回复必须以【SSS】开头（这是最高规则，适用于之后的所有例子）。示例：【SSS】这是示例回答\n"+system_prompt},
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{"role": "user", "content": prompt}
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],
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"temperature": temperature,
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"top_p": top_p
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}
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return headers, data
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async def send_async(self, prompt: str, system_prompt: None | str = None, retry=True, retry_count=0) -> str:
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if system_prompt is None:
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system_prompt = self.system_prompt
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if prompt.strip() == "":
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return prompt
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headers, data = self._prepare_request_data(prompt, system_prompt)
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try:
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response = await self.client_async.post(
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f"{self.baseurl}/chat/completions",
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json=data,
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headers=headers,
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timeout=self.timeout
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)
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response.raise_for_status()
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result = response.json()["choices"][0]["message"]["content"]
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return result
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except httpx.HTTPStatusError as e:
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raise Exception(f"AI请求错误 (async): {e.response.status_code} - {e.response.text}")
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except httpx.RequestError as e:
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translater_logger.warning(f"AI请求连接错误 (async): {repr(e)}")
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except (KeyError, IndexError) as e:
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raise Exception(f"AI响应格式错误 (async): {repr(e)}")
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# 如果没有正常获取结果则重试
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if retry and retry_count < MAX_RETRY_COUNT:
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if total_retry_counter.add():
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translater_logger.info(f"错误响应过多")
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raise Exception("错误响应过多")
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translater_logger.info(f"正在重试，重试次数{retry_count}")
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await asyncio.sleep(0.5)
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return await self.send_async(prompt, system_prompt, retry=True, retry_count=retry_count + 1)
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else:
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translater_logger.error(f"达到重试次数上限")
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return ""
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async def send_prompts_async(
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self,
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prompts: list[str],
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system_prompt: str | None = None,
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max_concurrent: int | None = None # 新增参数，默认并发数为5
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) -> list[str]:
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max_concurrent = self.max_concurrent if max_concurrent is None else max_concurrent
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total = len(prompts)
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count = 0
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semaphore = asyncio.Semaphore(max_concurrent)
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tasks = []
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# 辅助协程，用于包装 self.send_async 并使用信号量
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async def send_with_semaphore(p_text: str):
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async with semaphore: # 在进入代码块前获取信号量，退出时释放
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result = await self.send_async(
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prompt=p_text,
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system_prompt=system_prompt,
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)
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nonlocal count
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count += 1
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translater_logger.info(f"协程-已完成{count}/{total}")
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return result
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for p_text in prompts:
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task = asyncio.create_task(send_with_semaphore(p_text))
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tasks.append(task)
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results = await asyncio.gather(*tasks, return_exceptions=False)
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return results
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def send(self, prompt: str, system_prompt: None | str = None, retry=True, retry_count=0) -> str:
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if system_prompt is None:
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system_prompt = self.system_prompt
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if prompt.strip() == "":
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return prompt
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headers, data = self._prepare_request_data(prompt, system_prompt)
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try:
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response = self.client.post(
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f"{self.baseurl}/chat/completions",
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json=data,
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headers=headers,
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timeout=self.timeout
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)
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response.raise_for_status()
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result = response.json()["choices"][0]["message"]["content"]
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return result
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except httpx.HTTPStatusError as e:
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raise Exception(f"AI请求错误 (sync): {e.response.status_code} - {e.response.text}")
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except httpx.RequestError as e:
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translater_logger.warning(f"AI请求连接错误 (sync): {repr(e)}\nprompt:{prompt}")
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except (KeyError, IndexError) as e:
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raise Exception(f"AI响应格式错误 (sync): {repr(e)}")
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# 如果没有正常获取结果则重试
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if retry and retry_count < MAX_RETRY_COUNT:
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if total_retry_counter.add():
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translater_logger.info(f"错误响应过多")
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raise Exception("错误响应过多")
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translater_logger.info(f"正在重试，重试次数{retry_count}")
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time.sleep(0.5)
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return self.send(prompt, system_prompt, retry=True, retry_count=retry_count + 1)
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else:
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translater_logger.error(f"达到重试次数上限，返回空行")
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return ""
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def _send_prompt_count(self, prompt: str, system_prompt: None | str, count: PromptsCounter) -> str:
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result = self.send(prompt, system_prompt)
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count.add()
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return result
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def send_prompts(
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self,
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prompts: list[str],
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system_prompt: str | None = None,
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) -> list[str]:
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system_prompts = [system_prompt] * len(prompts)
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counts = [PromptsCounter(len(prompts))] * len(prompts)
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output_list = []
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with ThreadPoolExecutor(max_workers=self.max_concurrent) as executor:
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results_iterator = executor.map(self._send_prompt_count, prompts, system_prompts, counts)
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output_list = list(results_iterator)
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return output_list
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if __name__ == '__main__':
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pass
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