feat: optimize export to excel filename generation and update docs
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@@ -3,7 +3,7 @@ title: 导出为 Excel
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author: Fu-Jie
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author_url: https://github.com/Fu-Jie
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funding_url: https://github.com/Fu-Jie/awesome-openwebui
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version: 0.3.3
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version: 0.3.4
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icon_url: data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIyNCIgaGVpZ2h0PSIyNCIgdmlld0JveD0iMCAwIDI0IDI0IiBmaWxsPSJub25lIiBzdHJva2U9ImN1cnJlbnRDb2xvciIgc3Ryb2tlLXdpZHRoPSIyIiBzdHJva2UtbGluZWNhcD0icm91bmQiIHN0cm9rZS1saW5lam9pbj0icm91bmQiPjxwYXRoIGQ9Ik0xNSAySDZhMiAyIDAgMCAwLTIgMnYxNmEyIDIgMCAwIDAgMiAyaDEyYTIgMiAwIDAgMCAyLTJWN1oiLz48cGF0aCBkPSJNMTQgMnY0YTIgMiAwIDAgMCAyIDJoNCIvPjxwYXRoIGQ9Ik04IDEzaDIiLz48cGF0aCBkPSJNMTQgMTNoMiIvPjxwYXRoIGQ9Ik04IDE3aDIiLz48cGF0aCBkPSJNMTQgMTdoMiIvPjwvc3ZnPg==
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description: 将当前对话历史导出为 Excel (.xlsx) 文件,支持自动提取表头。
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"""
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@@ -15,14 +15,24 @@ import base64
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from fastapi import FastAPI, HTTPException
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from typing import Optional, Callable, Awaitable, Any, List, Dict
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import datetime
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import asyncio
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from open_webui.models.chats import Chats
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from open_webui.models.users import Users
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from open_webui.utils.chat import generate_chat_completion
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from pydantic import BaseModel, Field
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app = FastAPI()
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class Action:
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class Valves(BaseModel):
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TITLE_SOURCE: str = Field(
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default="chat_title",
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description="标题来源:'chat_title' (对话标题), 'ai_generated' (AI生成), 'markdown_title' (Markdown标题)",
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)
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def __init__(self):
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pass
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self.valves = self.Valves()
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async def _send_notification(self, emitter: Callable, type: str, content: str):
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await emitter(
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@@ -35,6 +45,7 @@ class Action:
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__user__=None,
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__event_emitter__=None,
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__event_call__: Optional[Callable[[Any], Awaitable[None]]] = None,
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__request__: Optional[Any] = None,
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):
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print(f"action:{__name__}")
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if isinstance(__user__, (list, tuple)):
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@@ -69,18 +80,58 @@ class Action:
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if not tables:
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raise HTTPException(status_code=400, detail="未找到任何表格。")
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# 生成文件名
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title = ""
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chat_id = self.extract_chat_id(
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body, None
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) # metadata 在此版本 action 签名中不可用,但通常在 body 中
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# 直接通过 chat_id 获取对话标题,因为 body 中通常缺少该信息
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chat_title = ""
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if chat_id:
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chat_title = await self.fetch_chat_title(chat_id, user_id)
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if (
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self.valves.TITLE_SOURCE == "chat_title"
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or not self.valves.TITLE_SOURCE
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):
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title = chat_title
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elif self.valves.TITLE_SOURCE == "markdown_title":
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title = self.extract_title(message_content)
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elif self.valves.TITLE_SOURCE == "ai_generated":
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# AI 生成需要 request 对象,稍后处理
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pass
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# 获取动态文件名和sheet名称
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workbook_name, sheet_names = self.generate_names_from_content(
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message_content, tables
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workbook_name_from_content, sheet_names = (
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self.generate_names_from_content(message_content, tables)
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)
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# 标题回退逻辑
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if not title:
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if self.valves.TITLE_SOURCE == "ai_generated":
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# AI 生成需要 request,稍后处理
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pass
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elif self.valves.TITLE_SOURCE == "markdown_title":
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pass # 已尝试
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# 如果仍无标题,尝试使用 workbook_name_from_content (基于表头)
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if not title and workbook_name_from_content:
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title = workbook_name_from_content
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# 如果仍无标题,尝试使用 chat_title
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if not title and chat_title:
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title = chat_title
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# 使用优化后的文件名生成逻辑
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current_datetime = datetime.datetime.now()
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formatted_date = current_datetime.strftime("%Y%m%d")
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# 如果没找到标题则使用 user_yyyymmdd 格式
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if not workbook_name:
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if not title:
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workbook_name = f"{user_name}_{formatted_date}"
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else:
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workbook_name = self.clean_filename(title)
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filename = f"{workbook_name}.xlsx"
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excel_file_path = os.path.join(
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@@ -172,6 +223,88 @@ class Action:
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__event_emitter__, "error", "没有找到可以导出的表格!"
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)
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async def generate_title_using_ai(
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self, body: dict, content: str, user_id: str, request: Any
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) -> str:
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if not request:
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return ""
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try:
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user_obj = Users.get_user_by_id(user_id)
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model = body.get("model")
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payload = {
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"model": model,
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"messages": [
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{
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"role": "system",
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"content": "你是一个乐于助人的助手。请为以下文本生成一个简短、简洁的标题(最多10个字)。不要使用引号。只输出标题。",
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},
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{"role": "user", "content": content[:2000]}, # 限制内容长度
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],
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"stream": False,
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}
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response = await generate_chat_completion(request, payload, user_obj)
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if response and "choices" in response:
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return response["choices"][0]["message"]["content"].strip()
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except Exception as e:
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print(f"生成标题时出错: {e}")
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return ""
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def extract_title(self, content: str) -> str:
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"""从 Markdown h1/h2 中提取标题"""
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lines = content.split("\n")
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for line in lines:
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# 仅匹配 h1-h2 标题
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match = re.match(r"^#{1,2}\s+(.+)$", line.strip())
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if match:
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return match.group(1).strip()
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return ""
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def extract_chat_id(self, body: dict, metadata: Optional[dict]) -> str:
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"""从 body 或 metadata 中提取 chat_id"""
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if isinstance(body, dict):
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chat_id = body.get("chat_id") or body.get("id")
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if isinstance(chat_id, str) and chat_id.strip():
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return chat_id.strip()
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for key in ("chat", "conversation"):
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nested = body.get(key)
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if isinstance(nested, dict):
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nested_id = nested.get("id") or nested.get("chat_id")
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if isinstance(nested_id, str) and nested_id.strip():
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return nested_id.strip()
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if isinstance(metadata, dict):
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chat_id = metadata.get("chat_id")
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if isinstance(chat_id, str) and chat_id.strip():
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return chat_id.strip()
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return ""
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async def fetch_chat_title(self, chat_id: str, user_id: str = "") -> str:
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"""通过 chat_id 从数据库获取对话标题"""
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if not chat_id:
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return ""
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def _load_chat():
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if user_id:
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return Chats.get_chat_by_id_and_user_id(id=chat_id, user_id=user_id)
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return Chats.get_chat_by_id(chat_id)
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try:
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chat = await asyncio.to_thread(_load_chat)
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except Exception as exc:
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print(f"加载对话 {chat_id} 失败: {exc}")
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return ""
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if not chat:
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return ""
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data = getattr(chat, "chat", {}) or {}
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title = data.get("title") or getattr(chat, "title", "")
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return title.strip() if isinstance(title, str) else ""
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def extract_tables_from_message(self, message: str) -> List[Dict]:
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"""
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从消息文本中提取Markdown表格及位置信息
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