65 lines
2.1 KiB
Python
65 lines
2.1 KiB
Python
from typing import Annotated, List, TypedDict, Literal, Dict
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from pydantic import BaseModel, Field
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import operator
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class Section(BaseModel):
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name: str = Field(
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description="章节的标题，应简洁明了地概括本章节的主题或主旨。",
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)
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description: str = Field(
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description="简要说明这一章节将围绕哪些内容进行展开，字数在50-100字。描述应突出章节的写作重点，明确要讨论的问题、角度或结构。",
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)
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research: bool = Field(
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description="判断该章节的写作是否需要进行网络搜索。若该部分需要引用外部资料、数据、案例或是知识储备不足以独立完成，则应标记为需要研究。"
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)
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content: str = Field(
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description="章节的主要写作内容。暂时留空，后续将用于填写具体文本内容"
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)
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class Sections(BaseModel):
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sections: List[Section] = Field(
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description="包含报告的各个章节",
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)
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class SearchQuery(BaseModel):
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search_query: str = Field(None, description="网络搜索的查询")
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class Queries(BaseModel):
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thought: str = Field(None, description="思考过程")
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queries: List[SearchQuery] = Field(
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description="包含网络搜索的查询列表",
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)
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'''作为整张图的状态输入输出，输入是报告主题，输出是最终报告'''
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class ReportStateInput(TypedDict):
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topic: str # 报告主题
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class ReportStateOutput(TypedDict):
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final_report: str # 最终报告
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'''管理报告的状态，有报告的各个章节'''
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class ReportState(TypedDict):
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topic: str
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feedback_on_report_plan: str
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sections: list[Section]
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# 维护一个推理链便于后面模型思考怎么做
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thinking_process: Annotated[list[str], operator.add]
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completed_sections: Annotated[list, operator.add]
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current_section_index: int # 目前正在研究的章节序号
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final_report: str # Final report
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search_queries: Annotated[Dict[str, List[SearchQuery]], operator.or_]
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# 键是来源，值是title,url等为键的字典
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sources: Annotated[Dict[str, Dict[str, str]], operator.or_]
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source_str: str
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