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构建并部署 AI Agent 服务 / deploy (push) Failing after 6m5s
- 完善词典子图：添加生词本功能 - 创建API调用工具：dictionary_api - 添加前端格式化展示工具：result_formatter.py - 创建通讯录和资讯子图的基本结构 - 更新主图状态结构，添加MainGraphState - 添加subgraph_builder.py用于子图集成
96 lines
2.8 KiB
Python
96 lines
2.8 KiB
Python
"""
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词典子图状态定义
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Dictionary Subgraph State Definition
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"""
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from enum import Enum, auto
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from typing import Optional, Dict, List, Any
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from dataclasses import dataclass, field
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class DictionaryAction(Enum):
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"""词典操作类型"""
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NONE = auto()
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QUERY = auto() # 查询单词
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TRANSLATE = auto() # 翻译文本
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EXTRACT = auto() # 提取专业术语
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DAILY_WORD = auto() # 每日一词
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WORD_BOOK_LOOKUP = auto() # 生词本查询
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WORD_BOOK_ADD = auto() # 添加到生词本
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@dataclass
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class WordEntry:
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"""单词词条"""
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word: str = ""
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phonetic: str = "" # 音标
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part_of_speech: str = "" # 词性
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definitions: List[str] = field(default_factory=list) # 释义
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examples: List[str] = field(default_factory=list) # 例句
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synonyms: List[str] = field(default_factory=list) # 同义词
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antonyms: List[str] = field(default_factory=list) # 反义词
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source_language: str = "en" # 源语言
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target_language: str = "zh" # 目标语言
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in_word_book: bool = False # 是否在生词本
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review_count: int = 0 # 复习次数
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next_review_at: Optional[str] = None # 下次复习时间
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created_at: Optional[str] = None
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metadata: Dict[str, Any] = field(default_factory=dict)
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@dataclass
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class ExtractedTerm:
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"""提取的术语"""
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term: str = ""
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type: str = "" # 技术术语、医学术语等
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definition: str = ""
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context: str = ""
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confidence: float = 0.0
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metadata: Dict[str, Any] = field(default_factory=dict)
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@dataclass
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class DictionaryState:
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"""词典子图状态"""
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# ========== 输入 ==========
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user_query: str = "" # 用户查询
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user_id: str = "" # 用户ID
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# 操作控制
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action: DictionaryAction = DictionaryAction.NONE
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action_params: Dict[str, Any] = field(default_factory=dict)
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# 翻译专用
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source_text: str = ""
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source_language: str = "auto" # auto, en, zh, etc.
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target_language: str = "zh" # 默认翻译成中文
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# ========== 执行过程 ==========
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current_phase: str = "init" # init, querying, extracting, done
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# 查询结果
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word_entry: Optional[WordEntry] = None
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# 翻译结果
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translated_text: str = ""
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translation_confidence: float = 0.0
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# 提取结果
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extracted_terms: List[ExtractedTerm] = field(default_factory=list)
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# 每日一词
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daily_word: Optional[WordEntry] = None
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daily_word_context: str = ""
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# ========== 结果 ==========
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success: bool = False
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error_message: str = ""
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final_result: str = ""
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result_data: Dict[str, Any] = field(default_factory=dict)
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# ========== 元数据 ==========
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start_time: Optional[str] = None
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end_time: Optional[str] = None
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duration: float = 0.0
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debug_info: Dict[str, Any] = field(default_factory=dict)
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