panda
6467fd4ae5
- OCR: EasyOCR (primary, ch_sim+en) with PaddleOCR fallback for Windows compatibility - Validation: _check_minimum_content() rejects empty-shell JRXML (no band/textField) - Retry: MAX_RETRY 3→5, exhaustion records pending_failure_context for next-turn auto-injection - Finalize: only saves jrxml_versions on pass, preserves last good final_jrxml on fail - Extract JRXML: improved empty markdown block handling and XML fragment fallback - UI: real-time node progress via placeholder updates, initial "analyzing" feedback - UI: use agent_state (full) instead of node_state (partial) for summary card routing - UI: unknown template_type now gives LLM meaningful image context instead of metadata - Docs: updated CLAUDE.md and CODE_GUIDE.md to reflect all v3 changes Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
43 lines
1.1 KiB
Python
43 lines
1.1 KiB
Python
"""LangGraph JRXML 生成代理工作流的状态定义。"""
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from typing import TypedDict, List
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class AgentState(TypedDict, total=False):
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# 核心工作流字段
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conversation_history: List[dict]
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current_jrxml: str
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user_input: str
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status: str
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error_msg: str
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natural_explanation: str
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retry_count: int
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user_modification_request: str
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final_jrxml: str
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stage: str
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retrieved_context: str
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# 需求1：智能上下文压缩
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full_conversation_history: List[dict]
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compressed_history: str
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current_token_count: int
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# 需求2：多会话持久化
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session_id: str
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session_name: str
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created_at: str
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updated_at: str
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# 需求3：意图识别
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intent: str
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history_states: List[dict]
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# 需求4：JRXML 版本历史（用于下载历史版本）
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jrxml_versions: List[dict]
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# 需求5：错误自增长（记录修正前的状态，供 validate 节点判断是否入知识库）
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last_error_case: dict
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# 需求6：失败上下文传递 — 重试耗尽后暂存失败信息，下次用户输入时自动注入
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pending_failure_context: dict
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