技能备份 - 2026-04-15 (40个技能)
This commit is contained in:
root
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#!/usr/bin/env python3
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"""
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Feishu Smart Doc Writer - 改进版
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自动分块写入 + 自动转移所有权 + 自动更新索引
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"""
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import re
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import time
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import json
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import asyncio
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from typing import List, Optional
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from dataclasses import dataclass
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# 导入索引管理器
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try:
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from .index_manager import IndexManager, add_doc_to_index
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except ImportError:
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from index_manager import IndexManager, add_doc_to_index
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@dataclass
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class ChunkConfig:
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"""分块配置"""
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chunk_size: int = 2000 # 每块最大字符数
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max_retries: int = 3 # 最大重试次数
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retry_delay: float = 1.0 # 重试间隔（秒）
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show_progress: bool = True # 显示进度
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convert_tables: bool = True # 转换表格为文本
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class ContentChunker:
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"""内容分块器"""
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def __init__(self, config: ChunkConfig = None):
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self.config = config or ChunkConfig()
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def chunk_content(self, content: str) -> List[str]:
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"""
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将长内容分割成多个小块
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策略：按段落分割，如果段落超过限制，按句子分割
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"""
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chunks = []
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current_chunk = ""
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# 先处理表格
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if self.config.convert_tables:
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content = self._convert_tables(content)
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# 按段落分割
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paragraphs = self._split_paragraphs(content)
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for para in paragraphs:
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# 如果当前块加上新段落会超限
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if len(current_chunk) + len(para) > self.config.chunk_size:
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# 保存当前块
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if current_chunk.strip():
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chunks.append(current_chunk.strip())
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# 如果单个段落就超限，需要进一步分割
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if len(para) > self.config.chunk_size:
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sub_chunks = self._split_large_paragraph(para)
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chunks.extend(sub_chunks)
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current_chunk = ""
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else:
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current_chunk = para
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else:
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current_chunk += "\n\n" + para if current_chunk else para
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# 保存最后一块
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if current_chunk.strip():
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chunks.append(current_chunk.strip())
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return chunks
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def _convert_tables(self, content: str) -> str:
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"""将Markdown表格转换为文本列表"""
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table_pattern = r'\|[^\n]+\|\n\|[-:| ]+\|\n((?:\|[^\n]+\|\n)+)'
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def convert_table(match):
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table_text = match.group(0)
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lines = table_text.strip().split('\n')
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# 提取表头
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header = [cell.strip() for cell in lines[0].split('|')[1:-1]]
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# 提取数据行
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result = ["【表格内容】"]
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for line in lines[2:]: # 跳过表头和分隔线
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cells = [cell.strip() for cell in line.split('|')[1:-1]]
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if cells and any(cells): # 确保不是空行
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row_text = ", ".join([f"{h}: {c}" for h, c in zip(header, cells)])
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result.append(f"- {row_text}")
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return "\n".join(result)
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return re.sub(table_pattern, convert_table, content)
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def _split_paragraphs(self, content: str) -> List[str]:
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"""按段落分割，保留标题结构"""
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lines = content.split('\n')
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paragraphs = []
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current_para = ""
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for line in lines:
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stripped = line.strip()
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if not stripped:
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if current_para.strip():
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paragraphs.append(current_para.strip())
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current_para = ""
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continue
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# 如果是标题，单独成段
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if stripped.startswith('#'):
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if current_para.strip():
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paragraphs.append(current_para.strip())
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current_para = ""
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paragraphs.append(stripped)
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else:
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current_para += line + "\n"
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if current_para.strip():
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paragraphs.append(current_para.strip())
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return paragraphs
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def _split_large_paragraph(self, para: str) -> List[str]:
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"""分割大段落（按句子）"""
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chunks = []
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sentences = re.split(r'([。！？.\n])', para)
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current = ""
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for i in range(0, len(sentences), 2):
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sentence = sentences[i]
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if i + 1 < len(sentences):
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sentence += sentences[i + 1] # 加上标点
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if len(current) + len(sentence) > self.config.chunk_size:
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if current.strip():
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chunks.append(current.strip())
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current = sentence
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else:
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current += sentence
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if current.strip():
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chunks.append(current.strip())
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return chunks
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class FeishuDocWriter:
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"""
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飞书文档智能写入器
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使用 OpenClaw 官方工具调用方式
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"""
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def __init__(self, ctx=None, config: ChunkConfig = None):
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"""
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初始化
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Args:
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ctx: OpenClaw 上下文对象（在 Skill 中传入）
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config: 分块配置
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"""
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self.ctx = ctx
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self.config = config or ChunkConfig()
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self.chunker = ContentChunker(config)
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async def write_document(self, title: str, content: str, folder_token: str = None) -> str:
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"""
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创建新文档并写入内容（自动分块）
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Args:
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title: 文档标题
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content: 文档内容（支持长内容，自动分块）
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folder_token: 可选的文件夹token
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Returns:
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文档URL
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"""
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if not self.ctx:
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raise ValueError("需要提供 OpenClaw 上下文对象 (ctx)")
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# 第一步：创建空文档（只传标题）
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doc_token = await self._create_empty_doc(title, folder_token)
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doc_url = f"https://feishu.cn/docx/{doc_token}"
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if self.config.show_progress:
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print(f"✅ 文档创建成功: {doc_url}")
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# 第二步：分批追加内容
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success = await self._write_content_in_chunks(doc_token, content)
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if not success:
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raise Exception("写入内容失败")
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return doc_url
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async def append_to_document(self, doc_url: str, content: str) -> bool:
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"""
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追加内容到现有文档（自动分块）
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Args:
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doc_url: 文档URL
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content: 要追加的内容
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Returns:
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是否成功
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"""
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if not self.ctx:
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raise ValueError("需要提供 OpenClaw 上下文对象 (ctx)")
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doc_token = self._extract_token_from_url(doc_url)
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return await self._write_content_in_chunks(doc_token, content)
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async def _create_empty_doc(self, title: str, folder_token: str = None) -> str:
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"""创建空文档，只传标题"""
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try:
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# 使用 OpenClaw 官方工具调用方式
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result = await self.ctx.invoke_tool("feishu_doc.create", {
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"title": title,
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"folder_token": folder_token
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})
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# 提取 doc_token
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if isinstance(result, dict):
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doc_token = result.get("document_id") or result.get("doc_token")
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if doc_token:
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return doc_token
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# 如果是字符串，尝试提取
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if isinstance(result, str):
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import re
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match = re.search(r'docx/([a-zA-Z0-9]+)', result)
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if match:
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return match.group(1)
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return result
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raise Exception(f"无法解析文档token: {result}")
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except Exception as e:
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raise Exception(f"创建文档失败: {e}")
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async def _write_content_in_chunks(self, doc_token: str, content: str) -> bool:
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"""分批写入内容"""
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chunks = self.chunker.chunk_content(content)
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if self.config.show_progress:
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print(f"📝 内容已分割为 {len(chunks)} 块，开始写入...")
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for i, chunk in enumerate(chunks, 1):
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if self.config.show_progress:
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print(f" 写入第 {i}/{len(chunks)} 块 ({len(chunk)} 字符)...")
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success = await self._append_chunk_with_retry(doc_token, chunk)
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if not success:
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print(f"❌ 第 {i} 块写入失败")
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return False
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# 添加小延迟，避免API限流
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if i < len(chunks):
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await asyncio.sleep(0.5)
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if self.config.show_progress:
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print(f"✅ 全部 {len(chunks)} 块写入完成")
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return True
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async def _append_chunk_with_retry(self, doc_token: str, chunk: str) -> bool:
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"""带重试的追加内容"""
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for attempt in range(self.config.max_retries):
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try:
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return await self._append_chunk(doc_token, chunk)
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except Exception as e:
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if self.config.show_progress:
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print(f" 尝试 {attempt + 1}/{self.config.max_retries} 失败: {e}")
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if attempt < self.config.max_retries - 1:
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await asyncio.sleep(self.config.retry_delay * (attempt + 1))
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else:
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return False
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return False
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async def _append_chunk(self, doc_token: str, chunk: str) -> bool:
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"""追加单块内容"""
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try:
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# 使用 OpenClaw 官方工具调用方式
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await self.ctx.invoke_tool("feishu_doc.append", {
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"doc_token": doc_token,
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"content": chunk
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})
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return True
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except Exception as e:
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raise Exception(f"API调用失败: {e}")
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def _extract_token_from_url(self, url: str) -> str:
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"""从URL中提取doc_token"""
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import re
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match = re.search(r'docx/([a-zA-Z0-9]+)', url)
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if match:
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return match.group(1)
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raise ValueError(f"无法从URL提取token: {url}")
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async def _get_tenant_access_token(self) -> str:
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"""获取飞书 tenant_access_token"""
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import aiohttp
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import json
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import os
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# 尝试从 OpenClaw 配置读取 App ID 和 Secret
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app_id, app_secret = None, None
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# 方法1: 尝试从环境变量读取
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app_id = os.environ.get("FEISHU_APP_ID")
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app_secret = os.environ.get("FEISHU_APP_SECRET")
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# 方法2: 尝试从 OpenClaw 配置文件读取
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if not app_id or not app_secret:
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try:
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config_paths = [
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os.path.expanduser("~/.openclaw/openclaw.json"),
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os.path.expanduser("~/.openclaw/config.json"),
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]
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for config_path in config_paths:
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if os.path.exists(config_path):
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with open(config_path, 'r') as f:
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config = json.load(f)
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feishu_config = config.get("channels", {}).get("feishu", {})
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app_id = feishu_config.get("appId")
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app_secret = feishu_config.get("appSecret")
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if app_id and app_secret:
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break
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except Exception:
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pass
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if not app_id or not app_secret:
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return ""
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# 调用飞书 API 获取 token
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url = "https://open.feishu.cn/open-apis/auth/v3/tenant_access_token/internal"
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payload = {
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"app_id": app_id,
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"app_secret": app_secret
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}
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try:
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async with aiohttp.ClientSession() as session:
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async with session.post(url, json=payload) as resp:
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result = await resp.json()
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if result.get("code") == 0:
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return result.get("tenant_access_token", "")
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except Exception:
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pass
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return ""
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async def transfer_ownership(self, doc_url: str, owner_openid: str) -> bool:
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"""
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转移文档所有权 - 直接调用飞书 API
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API端点: POST /drive/v1/permissions/{token}/members/transfer_owner?type=docx
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Args:
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doc_url: 文档URL
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owner_openid: 新所有者的openid (例如: ou_xxxxxxxx)
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Returns:
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是否成功
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"""
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import aiohttp
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import json
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doc_token = self._extract_token_from_url(doc_url)
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# 获取 tenant_access_token
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token = await self._get_tenant_access_token()
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if not token:
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if self.config.show_progress:
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print(f"⚠️ 无法获取 tenant_access_token")
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return False
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# 调用飞书 API 转移所有权
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url = f"https://open.feishu.cn/open-apis/drive/v1/permissions/{doc_token}/members/transfer_owner?type=docx"
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headers = {
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"Authorization": f"Bearer {token}",
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"Content-Type": "application/json"
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}
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payload = {
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"member_type": "openid",
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"member_id": owner_openid
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}
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try:
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async with aiohttp.ClientSession() as session:
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async with session.post(url, headers=headers, json=payload) as resp:
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result = await resp.json()
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if result.get("code") == 0:
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if self.config.show_progress:
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print(f"✅ 文档所有权已转移给 {owner_openid}")
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return True
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else:
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error_msg = result.get("msg", "未知错误")
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if self.config.show_progress:
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print(f"⚠️ 所有权转移失败: {error_msg}")
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return False
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except Exception as e:
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if self.config.show_progress:
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print(f"⚠️ 所有权转移失败: {e}")
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return False
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async def write_document_with_transfer(
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self,
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title: str,
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content: str,
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folder_token: str = None,
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owner_openid: str = None
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) -> dict:
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"""
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创建文档并写入内容，完成后自动转移所有权并更新本地索引
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Args:
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title: 文档标题
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content: 文档内容
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folder_token: 可选的文件夹token
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owner_openid: 新所有者的openid，如果提供则自动转移所有权
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Returns:
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{
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"doc_url": "...",
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"doc_token": "...",
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"chunks_count": N,
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"owner_transferred": True/False,
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"index_updated": True/False
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}
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"""
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# 1. 创建并写入文档
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doc_url = await self.write_document(title, content, folder_token)
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# 2. 提取 doc_token
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doc_token = self._extract_token_from_url(doc_url)
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# 3. 计算分块数
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chunks = self.chunker.chunk_content(content)
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# 4. 转移所有权（如果提供了 owner_openid）
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owner_transferred = False
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if owner_openid:
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owner_transferred = await self.transfer_ownership(doc_url, owner_openid)
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# 5. 【关键】自动更新本地索引
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index_updated = False
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try:
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# 生成摘要（取前100字）
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summary = content[:100].replace('\n', ' ') + "..." if len(content) > 100 else content
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# 自动分类标签
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tags = self._auto_classify_content(content, title)
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# 更新索引
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index_updated = add_doc_to_index(
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name=title,
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url=doc_url,
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token=doc_token,
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summary=summary,
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tags=tags,
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owner=owner_openid or ""
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)
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if self.config.show_progress and index_updated:
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print(f"✅ 文档索引已更新")
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elif self.config.show_progress:
|
||||
print(f"⚠️ 文档索引更新失败（不影响文档创建）")
|
||||
|
||||
except Exception as e:
|
||||
if self.config.show_progress:
|
||||
print(f"⚠️ 索引更新失败: {e}（不影响文档创建）")
|
||||
|
||||
return {
|
||||
"doc_url": doc_url,
|
||||
"doc_token": doc_token,
|
||||
"chunks_count": len(chunks),
|
||||
"owner_transferred": owner_transferred,
|
||||
"index_updated": index_updated
|
||||
}
|
||||
|
||||
def _auto_classify_content(self, content: str, title: str) -> List[str]:
|
||||
"""根据内容自动分类"""
|
||||
tags = []
|
||||
text = (title + " " + content).lower()
|
||||
|
||||
# 关键词映射到标签
|
||||
if any(k in text for k in ["ai", "人工智能", "模型", "gpt", "llm"]):
|
||||
tags.append("AI技术")
|
||||
if any(k in text for k in ["openclaw", "skill", "agent"]):
|
||||
tags.append("OpenClaw")
|
||||
if any(k in text for k in ["飞书", "文档", "feishu", "docx"]):
|
||||
tags.append("飞书文档")
|
||||
if any(k in text for k in ["电商", "tiktok", "alibaba", "玩具"]):
|
||||
tags.append("电商")
|
||||
if any(k in text for k in ["garmin", "strava", "骑行", "健康", "运动"]):
|
||||
tags.append("健康运动")
|
||||
if any(k in text for k in ["对话", "归档", "聊天记录"]):
|
||||
tags.append("每日归档")
|
||||
|
||||
# 如果没有匹配到特定标签，添加通用标签
|
||||
if not tags:
|
||||
tags.append("其他")
|
||||
|
||||
return tags
|
||||
|
||||
|
||||
# 同步包装函数（方便非异步环境使用）
|
||||
def write_document_sync(ctx, title: str, content: str, folder_token: str = None, config: ChunkConfig = None) -> str:
|
||||
"""同步方式写入文档"""
|
||||
writer = FeishuDocWriter(ctx, config)
|
||||
return asyncio.run(writer.write_document(title, content, folder_token))
|
||||
|
||||
|
||||
def write_document_with_transfer_sync(
|
||||
ctx,
|
||||
title: str,
|
||||
content: str,
|
||||
folder_token: str = None,
|
||||
owner_openid: str = None,
|
||||
config: ChunkConfig = None
|
||||
) -> dict:
|
||||
"""同步方式写入文档并转移所有权"""
|
||||
writer = FeishuDocWriter(ctx, config)
|
||||
return asyncio.run(writer.write_document_with_transfer(title, content, folder_token, owner_openid))
|
||||
|
||||
|
||||
def append_to_document_sync(ctx, doc_url: str, content: str, config: ChunkConfig = None) -> bool:
|
||||
"""同步方式追加文档"""
|
||||
writer = FeishuDocWriter(ctx, config)
|
||||
return asyncio.run(writer.append_to_document(doc_url, content))
|
||||
Reference in New Issue
Block a user