config去掉system_prompt
This commit is contained in:
@@ -26,7 +26,6 @@ class AgentConfig:
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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 | None
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temperature: float = 0.7
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max_concurrent: int = 30
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timeout: int = 2000
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@@ -68,8 +67,8 @@ class PromptsCounter:
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PreSendHandlerType = Callable[[str, str], tuple[str, str]]
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ResultHandlerType = Callable[[str, str, logging.Logger], str]
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ErrorResultHandlerType = Callable[[str, logging.Logger], str]
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ResultHandlerType = Callable[[str, str, logging.Logger], Any]
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ErrorResultHandlerType = Callable[[str, logging.Logger], Any]
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class Agent:
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@@ -90,7 +89,7 @@ class Agent:
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self.domain = urlparse(self.baseurl).netloc
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self.key = config.key.strip() or "xx"
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self.model_id = config.model_id.strip()
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self.system_prompt = config.system_prompt or ""
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self.system_prompt = ""
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self.temperature = config.temperature
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self.max_concurrent = config.max_concurrent
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self.timeout = config.timeout
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@@ -158,6 +157,8 @@ class Agent:
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self.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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except ValueError as e:
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self.logger.warning(f"{e.__repr__()}")
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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 self.total_error_counter.add():
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@@ -181,7 +182,7 @@ class Agent:
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) -> list[Any]:
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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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self.logger.info(f"base-url:{self.baseurl},model-id:{self.model_id}")
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self.logger.info(f"base-url:{self.baseurl},model-id:{self.model_id},concurrent:{self.max_concurrent},temperature:{self.temperature}")
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self.logger.info(f"预计发送{total}个请求,并发请求数:{max_concurrent}")
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self.total_error_counter.max_errors_count = len(prompts) // MAX_REQUESTS_PER_ERROR # 允许多少个异常
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count = 0
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@@ -258,7 +259,8 @@ class Agent:
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pre_send_handler,
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result_handler,
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error_result_handler) -> Any:
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result = self.send(client, prompt, system_prompt, pre_send_handler=pre_send_handler,result_handler=result_handler,
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result = self.send(client, prompt, system_prompt, pre_send_handler=pre_send_handler,
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result_handler=result_handler,
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error_result_handler=error_result_handler)
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count.add()
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return result
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@@ -267,11 +269,11 @@ class Agent:
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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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pre_send_handler:PreSendHandlerType=None,
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pre_send_handler: PreSendHandlerType = None,
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result_handler: ResultHandlerType = None,
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error_result_handler: ErrorResultHandlerType = None
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) -> list[Any]:
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self.logger.info(f"base-url:{self.baseurl},model-id:{self.model_id}")
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self.logger.info(f"base-url:{self.baseurl},model-id:{self.model_id},concurrent:{self.max_concurrent},temperature:{self.temperature}")
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self.logger.info(f"预计发送{len(prompts)}个请求,并发请求数:{self.max_concurrent}")
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self.total_error_counter.max_errors_count = len(prompts) // MAX_REQUESTS_PER_ERROR # 允许多少个异常
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# 创建单个计数器实例
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@@ -280,7 +282,7 @@ class Agent:
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# 使用 itertools.repeat 将同一个实例传递给每个 map 调用
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system_prompts = itertools.repeat(system_prompt, len(prompts))
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counters = itertools.repeat(counter, len(prompts))
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pre_send_handlers=itertools.repeat(pre_send_handler,len(prompts))
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pre_send_handlers = itertools.repeat(pre_send_handler, len(prompts))
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result_handlers = itertools.repeat(result_handler, len(prompts))
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error_result_handlers = itertools.repeat(error_result_handler, len(prompts))
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output_list = []
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@@ -46,6 +46,8 @@ You are a professional machine translation engine.
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"""
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def _result_handler(self, result: str, origin_prompt: str, logger: Logger):
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if result == "":
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return []
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try:
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result = json_repair.loads(result)
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if not isinstance(result, list):
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@@ -56,6 +58,8 @@ You are a professional machine translation engine.
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return result
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def _error_result_handler(self, origin_prompt: str, logger: Logger):
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if origin_prompt == "":
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return []
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try:
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return json_repair.loads(origin_prompt)
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except:
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@@ -79,11 +83,11 @@ You are a professional machine translation engine.
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self.logger.info(f"json解析错误,解析文本:{chunk},错误:{e.__repr__()}")
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except Exception as e:
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self.logger.info(f"send_segments发生错误:{e.__repr__()}")
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self.logger.info("术语表提取完成")
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return result
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async def send_segments_async(self, segments: list[str], chunk_size: int):
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self.logger.info("开始提取术语表")
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self.logger.info("开始术语表提取")
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result = {}
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indexed_originals, chunks, merged_indices_list = await asyncio.to_thread(segments2json_chunks, segments,
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chunk_size)
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@@ -101,4 +105,5 @@ You are a professional machine translation engine.
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except Exception as e:
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self.logger.info(f"send_segments发生错误:{e.__repr__()}")
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print(f"术语表:\n{result}")
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self.logger.info("术语表提取完成")
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return result
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@@ -57,16 +57,19 @@ Warning: Never wrap the entire JSON object in quotes to make it a single string.
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return system_prompt, prompt
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def _result_handler(self, result: str, origin_prompt: str, logger: Logger):
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if result == "":
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return {}
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try:
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result = json_repair.loads(result)
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if not isinstance(result, dict):
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raise ValueError("agent返回结果不是dict的json形式")
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except:
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logger.error("结果不能正确解析")
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return self._error_result_handler(origin_prompt, logger)
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raise ValueError(f"agent返回结果不是dict的json形式,result:{result}")
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except RuntimeError as e:
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raise ValueError(f"结果不能正确解析:{e.__repr__()}")
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return result
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def _error_result_handler(self, origin_prompt: str, logger: Logger):
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if origin_prompt == "":
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return {}
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try:
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return json_repair.loads(origin_prompt)
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except:
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@@ -22,6 +22,7 @@ from pydantic import BaseModel, Field, field_validator
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from docutranslate import __version__
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from docutranslate.agents.agent import ThinkingMode
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from docutranslate.agents.glossary_agent import GlossaryAgentConfig
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from docutranslate.exporter.md.types import ConvertEngineType
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# --- 核心代码 Imports ---
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from docutranslate.global_values.conditional_import import DOCLING_EXIST
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@@ -220,6 +221,16 @@ app.mount("/static", StaticFiles(directory=STATIC_DIR), name="static")
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# --- Pydantic Models for Service API ---
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# ===================================================================
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class GlossaryAgentConfigPayload(BaseModel):
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baseurl: str = Field(..., description="用于术语表生成的Agent的LLM API基础URL。", examples=["https://api.openai.com/v1"])
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key: str = Field(..., description="用于术语表生成的Agent的LLM API密钥。", examples=["sk-agent-api-key"])
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model_id: str = Field(..., description="用于术语表生成的Agent的模型ID。", examples=["gpt-4-turbo"])
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temperature: float = Field(default=0.7, description="用于术语表生成的Agent的温度参数。")
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max_concurrent: int = Field(default=30, description="Agent的最大并发请求数。")
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timeout: int = Field(default=2000, description="Agent的API调用超时时间。")
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thinking: ThinkingMode = Field(default="default", description="Agent的思考模式。")
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# 1. 定义所有工作流共享的基础参数
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class BaseWorkflowParams(BaseModel):
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base_url: str = Field(..., description="LLM API的基础URL。", examples=["https://api.openai.com/v1"])
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@@ -233,6 +244,15 @@ class BaseWorkflowParams(BaseModel):
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examples=["default", "enable", "disable"])
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custom_prompt: Optional[str] = Field(None, description="用户自定义的翻译Prompt。", alias="custom_prompt")
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glossary_dict: Optional[Dict[str, str]] = Field(None, description="术语表字典,key为原文,value为译文。")
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glossary_generate_enable: bool = Field(default=False, description="是否开启术语表自动生成。")
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glossary_agent_config: Optional[GlossaryAgentConfigPayload] = Field(None,
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description="用于术语表生成的Agent的配置。如果 `glossary_generate_enable` 为 `True`,此项必填。")
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@field_validator('glossary_agent_config')
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def check_glossary_config(cls, v, values):
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if values.data.get('glossary_generate_enable') and not v:
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raise ValueError("当 `glossary_generate_enable` 为 `True` 时, `glossary_agent_config` 字段是必须的。")
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return v
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# 2. 为每个工作流创建独立的参数模型
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@@ -410,6 +430,27 @@ class TranslateServiceRequest(BaseModel):
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}
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}
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},
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{
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"summary": "XLSX 带术语表生成",
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"value": {
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"file_name": "complex_terms.xlsx",
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"file_content": "UEsDBBQAAAAIA... (base64-encoded xlsx)",
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"payload": {
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"workflow_type": "xlsx",
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"base_url": "https://api.openai.com/v1",
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"api_key": "sk-your-main-translator-key",
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"model_id": "gpt-4o",
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"to_lang": "简体中文",
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"glossary_generate_enable": True,
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"glossary_agent_config": {
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"baseurl": "https://api.openai.com/v1",
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"key": "sk-your-agent-key-for-glossary",
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"model_id": "gpt-4-turbo",
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"temperature": 0.5
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}
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}
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}
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},
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{
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"summary": "DOCX 工作流示例",
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"value": {
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@@ -508,15 +549,28 @@ async def _perform_translation(
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workflow: Workflow
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# 辅助函数:构建术语表生成配置
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def build_glossary_agent_config():
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if payload.glossary_generate_enable and payload.glossary_agent_config:
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agent_payload = payload.glossary_agent_config
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return GlossaryAgentConfig(
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logger=task_logger,
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to_lang=payload.to_lang,
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**agent_payload.model_dump()
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)
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return None
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# 2. 根据 payload 的具体类型构建配置并实例化 workflow
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if isinstance(payload, MarkdownWorkflowParams):
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task_logger.info("构建 MarkdownBasedWorkflow 配置。")
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translator_config = MDTranslatorConfig(
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**payload.model_dump(include={
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'base_url', 'api_key', 'model_id', 'to_lang', 'custom_prompt',
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'temperature', 'thinking', 'chunk_size', 'concurrent', 'glossary_dict'
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}, exclude_none=True)
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)
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translator_args = payload.model_dump(include={
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'base_url', 'api_key', 'model_id', 'to_lang', 'custom_prompt',
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'temperature', 'thinking', 'chunk_size', 'concurrent', 'glossary_dict'
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}, exclude_none=True)
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translator_args['glossary_generate_enable'] = payload.glossary_generate_enable
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translator_args['glossary_agent_config'] = build_glossary_agent_config()
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translator_config = MDTranslatorConfig(**translator_args)
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converter_config = None
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if payload.convert_engine == 'mineru':
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converter_config = ConverterMineruConfig(logger=task_logger, mineru_token=payload.mineru_token,
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@@ -535,12 +589,14 @@ async def _perform_translation(
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elif isinstance(payload, TextWorkflowParams):
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task_logger.info("构建 TXTWorkflow 配置。")
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translator_config = TXTTranslatorConfig(
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**payload.model_dump(include={
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'base_url', 'api_key', 'model_id', 'to_lang', 'custom_prompt',
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'temperature', 'thinking', 'chunk_size', 'concurrent', 'glossary_dict'
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}, exclude_none=True)
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)
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translator_args = payload.model_dump(include={
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'base_url', 'api_key', 'model_id', 'to_lang', 'custom_prompt',
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'temperature', 'thinking', 'chunk_size', 'concurrent', 'glossary_dict'
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}, exclude_none=True)
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translator_args['glossary_generate_enable'] = payload.glossary_generate_enable
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translator_args['glossary_agent_config'] = build_glossary_agent_config()
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translator_config = TXTTranslatorConfig(**translator_args)
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html_exporter_config = TXT2HTMLExporterConfig(cdn=True)
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workflow_config = TXTWorkflowConfig(
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translator_config=translator_config, html_exporter_config=html_exporter_config,
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@@ -550,13 +606,15 @@ async def _perform_translation(
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elif isinstance(payload, JsonWorkflowParams):
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task_logger.info("构建 JsonWorkflow 配置。")
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translator_config = JsonTranslatorConfig(
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json_paths=payload.json_paths,
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**payload.model_dump(include={
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'base_url', 'api_key', 'model_id', 'to_lang', 'custom_prompt',
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'temperature', 'thinking', 'chunk_size', 'concurrent', 'glossary_dict'
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}, exclude_none=True)
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)
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translator_args = payload.model_dump(include={
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'base_url', 'api_key', 'model_id', 'to_lang', 'custom_prompt',
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'temperature', 'thinking', 'chunk_size', 'concurrent', 'glossary_dict',
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'json_paths'
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}, exclude_none=True)
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translator_args['glossary_generate_enable'] = payload.glossary_generate_enable
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translator_args['glossary_agent_config'] = build_glossary_agent_config()
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translator_config = JsonTranslatorConfig(**translator_args)
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html_exporter_config = Json2HTMLExporterConfig(cdn=True)
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workflow_config = JsonWorkflowConfig(
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translator_config=translator_config, html_exporter_config=html_exporter_config,
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@@ -566,13 +624,15 @@ async def _perform_translation(
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elif isinstance(payload, XlsxWorkflowParams):
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task_logger.info("构建 XlsxWorkflow 配置。")
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translator_config = XlsxTranslatorConfig(
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**payload.model_dump(include={
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'base_url', 'api_key', 'model_id', 'to_lang', 'custom_prompt',
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'temperature', 'thinking', 'chunk_size', 'concurrent',
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'insert_mode', 'separator', 'translate_regions', 'glossary_dict'
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}, exclude_none=True)
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)
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translator_args = payload.model_dump(include={
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'base_url', 'api_key', 'model_id', 'to_lang', 'custom_prompt',
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'temperature', 'thinking', 'chunk_size', 'concurrent',
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'insert_mode', 'separator', 'translate_regions', 'glossary_dict'
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}, exclude_none=True)
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translator_args['glossary_generate_enable'] = payload.glossary_generate_enable
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translator_args['glossary_agent_config'] = build_glossary_agent_config()
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translator_config = XlsxTranslatorConfig(**translator_args)
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html_exporter_config = Xlsx2HTMLExporterConfig(cdn=True)
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workflow_config = XlsxWorkflowConfig(
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translator_config=translator_config,
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@@ -583,13 +643,15 @@ async def _perform_translation(
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elif isinstance(payload, DocxWorkflowParams):
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task_logger.info("构建 DocxWorkflow 配置。")
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translator_config = DocxTranslatorConfig(
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**payload.model_dump(include={
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'base_url', 'api_key', 'model_id', 'to_lang', 'custom_prompt',
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'temperature', 'thinking', 'chunk_size', 'concurrent',
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'insert_mode', 'separator', 'glossary_dict'
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}, exclude_none=True)
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)
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translator_args = payload.model_dump(include={
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'base_url', 'api_key', 'model_id', 'to_lang', 'custom_prompt',
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'temperature', 'thinking', 'chunk_size', 'concurrent',
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'insert_mode', 'separator', 'glossary_dict'
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}, exclude_none=True)
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translator_args['glossary_generate_enable'] = payload.glossary_generate_enable
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translator_args['glossary_agent_config'] = build_glossary_agent_config()
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translator_config = DocxTranslatorConfig(**translator_args)
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html_exporter_config = Docx2HTMLExporterConfig(cdn=True)
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workflow_config = DocxWorkflowConfig(
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translator_config=translator_config,
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@@ -600,13 +662,15 @@ async def _perform_translation(
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elif isinstance(payload, SrtWorkflowParams):
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task_logger.info("构建 SrtWorkflow 配置。")
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translator_config = SrtTranslatorConfig(
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**payload.model_dump(include={
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'base_url', 'api_key', 'model_id', 'to_lang', 'custom_prompt',
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'temperature', 'thinking', 'chunk_size', 'concurrent',
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'insert_mode', 'separator', 'glossary_dict'
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}, exclude_none=True)
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)
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translator_args = payload.model_dump(include={
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'base_url', 'api_key', 'model_id', 'to_lang', 'custom_prompt',
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'temperature', 'thinking', 'chunk_size', 'concurrent',
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'insert_mode', 'separator', 'glossary_dict'
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}, exclude_none=True)
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translator_args['glossary_generate_enable'] = payload.glossary_generate_enable
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translator_args['glossary_agent_config'] = build_glossary_agent_config()
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translator_config = SrtTranslatorConfig(**translator_args)
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html_exporter_config = Srt2HTMLExporterConfig(cdn=True)
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workflow_config = SrtWorkflowConfig(
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translator_config=translator_config,
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@@ -617,13 +681,15 @@ async def _perform_translation(
|
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elif isinstance(payload, EpubWorkflowParams):
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task_logger.info("构建 EpubWorkflow 配置。")
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translator_config = EpubTranslatorConfig(
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**payload.model_dump(include={
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'base_url', 'api_key', 'model_id', 'to_lang', 'custom_prompt',
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||||
'temperature', 'thinking', 'chunk_size', 'concurrent',
|
||||
'insert_mode', 'separator', 'glossary_dict'
|
||||
}, exclude_none=True)
|
||||
)
|
||||
translator_args = payload.model_dump(include={
|
||||
'base_url', 'api_key', 'model_id', 'to_lang', 'custom_prompt',
|
||||
'temperature', 'thinking', 'chunk_size', 'concurrent',
|
||||
'insert_mode', 'separator', 'glossary_dict'
|
||||
}, exclude_none=True)
|
||||
translator_args['glossary_generate_enable'] = payload.glossary_generate_enable
|
||||
translator_args['glossary_agent_config'] = build_glossary_agent_config()
|
||||
translator_config = EpubTranslatorConfig(**translator_args)
|
||||
|
||||
html_exporter_config = Epub2HTMLExporterConfig(cdn=True)
|
||||
workflow_config = EpubWorkflowConfig(
|
||||
translator_config=translator_config,
|
||||
@@ -635,13 +701,15 @@ async def _perform_translation(
|
||||
# --- HTML WORKFLOW LOGIC START ---
|
||||
elif isinstance(payload, HtmlWorkflowParams):
|
||||
task_logger.info("构建 HtmlWorkflow 配置。")
|
||||
translator_config = HtmlTranslatorConfig(
|
||||
**payload.model_dump(include={
|
||||
'base_url', 'api_key', 'model_id', 'to_lang', 'custom_prompt',
|
||||
'temperature', 'thinking', 'chunk_size', 'concurrent',
|
||||
'insert_mode', 'separator', 'glossary_dict'
|
||||
}, exclude_none=True)
|
||||
)
|
||||
translator_args = payload.model_dump(include={
|
||||
'base_url', 'api_key', 'model_id', 'to_lang', 'custom_prompt',
|
||||
'temperature', 'thinking', 'chunk_size', 'concurrent',
|
||||
'insert_mode', 'separator', 'glossary_dict'
|
||||
}, exclude_none=True)
|
||||
translator_args['glossary_generate_enable'] = payload.glossary_generate_enable
|
||||
translator_args['glossary_agent_config'] = build_glossary_agent_config()
|
||||
translator_config = HtmlTranslatorConfig(**translator_args)
|
||||
|
||||
workflow_config = HtmlWorkflowConfig(
|
||||
translator_config=translator_config,
|
||||
logger=task_logger
|
||||
|
||||
@@ -8,9 +8,14 @@ class Glossary:
|
||||
self.glossary_dict[src]=dst
|
||||
|
||||
def append_system_prompt(self,text:str):
|
||||
flag=False
|
||||
prompt="\n以下为参考术语表:\n"
|
||||
for src,dst in self.glossary_dict.items():
|
||||
if src in text:
|
||||
prompt+=f"{src}=>{dst}\n"
|
||||
flag=True
|
||||
prompt+="术语表结束\n"
|
||||
return prompt
|
||||
if flag:
|
||||
return prompt
|
||||
else:
|
||||
return ""
|
||||
|
||||
File diff suppressed because one or more lines are too long
File diff suppressed because one or more lines are too long
@@ -21,7 +21,7 @@ class AiTranslatorConfig(TranslatorConfig):
|
||||
chunk_size: int = 3000
|
||||
concurrent: int = 30
|
||||
glossary_dict: dict[str:str] | None = None
|
||||
glossary_generate_enable: bool = True
|
||||
glossary_generate_enable: bool = False
|
||||
glossary_agent_config: GlossaryAgentConfig | None = None
|
||||
|
||||
|
||||
|
||||
@@ -44,7 +44,6 @@ class DocxTranslator(AiTranslator):
|
||||
baseurl=config.base_url,
|
||||
key=config.api_key,
|
||||
model_id=config.model_id,
|
||||
system_prompt=None,
|
||||
temperature=config.temperature,
|
||||
thinking=config.thinking,
|
||||
max_concurrent=config.concurrent,
|
||||
|
||||
@@ -32,7 +32,7 @@ class EpubTranslator(AiTranslator):
|
||||
agent_config = SegmentsTranslateAgentConfig(
|
||||
custom_prompt=config.custom_prompt, to_lang=config.to_lang,
|
||||
baseurl=config.base_url, key=config.api_key, model_id=config.model_id,
|
||||
system_prompt=None, temperature=config.temperature, thinking=config.thinking,
|
||||
temperature=config.temperature, thinking=config.thinking,
|
||||
max_concurrent=config.concurrent, timeout=config.timeout, logger=self.logger,
|
||||
glossary_dict=config.glossary_dict
|
||||
)
|
||||
|
||||
@@ -91,7 +91,6 @@ class HtmlTranslator(AiTranslator):
|
||||
baseurl=config.base_url,
|
||||
key=config.api_key,
|
||||
model_id=config.model_id,
|
||||
system_prompt=None,
|
||||
temperature=config.temperature,
|
||||
thinking=config.thinking,
|
||||
max_concurrent=config.concurrent,
|
||||
|
||||
@@ -23,7 +23,6 @@ class JsonTranslator(AiTranslator):
|
||||
baseurl=config.base_url,
|
||||
key=config.api_key,
|
||||
model_id=config.model_id,
|
||||
system_prompt=None,
|
||||
temperature=config.temperature,
|
||||
thinking=config.thinking,
|
||||
max_concurrent=config.concurrent,
|
||||
|
||||
@@ -24,7 +24,6 @@ class MDTranslator(AiTranslator):
|
||||
baseurl=config.base_url,
|
||||
key=config.api_key,
|
||||
model_id=config.model_id,
|
||||
system_prompt=None,
|
||||
temperature=config.temperature,
|
||||
thinking=config.thinking,
|
||||
max_concurrent=config.concurrent,
|
||||
|
||||
@@ -31,7 +31,6 @@ class SrtTranslator(AiTranslator):
|
||||
baseurl=config.base_url,
|
||||
key=config.api_key,
|
||||
model_id=config.model_id,
|
||||
system_prompt=None,
|
||||
temperature=config.temperature,
|
||||
thinking=config.thinking,
|
||||
max_concurrent=config.concurrent,
|
||||
|
||||
@@ -21,7 +21,6 @@ class TXTTranslator(AiTranslator):
|
||||
baseurl=config.base_url,
|
||||
key=config.api_key,
|
||||
model_id=config.model_id,
|
||||
system_prompt=None,
|
||||
temperature=config.temperature,
|
||||
thinking=config.thinking,
|
||||
max_concurrent=config.concurrent,
|
||||
|
||||
@@ -31,7 +31,6 @@ class XlsxTranslator(AiTranslator):
|
||||
baseurl=config.base_url,
|
||||
key=config.api_key,
|
||||
model_id=config.model_id,
|
||||
system_prompt=None,
|
||||
temperature=config.temperature,
|
||||
thinking=config.thinking,
|
||||
max_concurrent=config.concurrent,
|
||||
|
||||
Reference in New Issue
Block a user