Kris
bd60c15df0
实现了 Teams 机器人所需的全功能组件，包括： - 基础命令解析与帮助卡片生成 - 租户验证与访问控制 - 自定义 UA 与媒体工具 - 消息分块、批注处理与会话管理 - 防抖、缓存与配置路由能力 - 投票、配对、审计与运行时状态管理 - TTS 语音合成与卡片构建工具 - 群组管理与权限控制逻辑
73 lines
1.9 KiB
Python
73 lines
1.9 KiB
Python
from __future__ import annotations
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def chunk_text(text: str, limit: int, mode: str = "paragraph") -> list[str]:
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if len(text) <= limit:
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return [text]
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if mode == "length":
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return _chunk_by_length(text, limit)
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if mode == "newline":
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return _chunk_by_newline(text, limit)
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return _chunk_by_paragraph(text, limit)
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def _chunk_by_paragraph(text: str, limit: int) -> list[str]:
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chunks = []
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paragraphs = text.split("\n\n")
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for para in paragraphs:
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if len(para) <= limit:
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chunks.append(para)
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continue
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sentences = para.replace("\n", " ").split(". ")
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current = ""
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for sentence in sentences:
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sep = ". " if current else ""
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candidate = f"{current}{sep}{sentence}"
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if current and len(candidate) + 1 > limit:
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chunks.append(current + ".")
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current = sentence
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else:
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current = candidate
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if current:
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if not current.endswith("."):
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current += "."
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chunks.append(current)
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merged = []
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for chunk in chunks:
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if merged and len(merged[-1]) + len(chunk) + 2 <= limit:
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merged[-1] = f"{merged[-1]}\n\n{chunk}"
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else:
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merged.append(chunk)
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return merged
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def _chunk_by_length(text: str, limit: int) -> list[str]:
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chunks = []
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for i in range(0, len(text), limit):
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chunks.append(text[i : i + limit])
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return chunks
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def _chunk_by_newline(text: str, limit: int) -> list[str]:
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lines = text.split("\n")
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chunks = []
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current = ""
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for line in lines:
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candidate = f"{current}\n{line}" if current else line
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if len(candidate) > limit and current:
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chunks.append(current)
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current = line
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else:
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current = candidate
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if current:
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chunks.append(current)
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return chunks
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