Compare commits
3 Commits
| Author | SHA1 | Date | |
|---|---|---|---|
| e7e97730af | |||
| 467ca1eb5c | |||
| 46528391c2 |
@@ -1 +1 @@
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__version__ = "4.8.0"
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__version__ = "4.9.0"
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@@ -4,7 +4,7 @@ import os
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from astrbot.core.utils.astrbot_path import get_astrbot_data_path
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VERSION = "4.8.0"
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VERSION = "4.9.0"
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DB_PATH = os.path.join(get_astrbot_data_path(), "data_v4.db")
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WEBHOOK_SUPPORTED_PLATFORMS = [
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+2
-1
@@ -24,6 +24,7 @@ import asyncio
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import logging
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import os
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import sys
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import time
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from asyncio import Queue
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from collections import deque
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@@ -148,7 +149,7 @@ class LogQueueHandler(logging.Handler):
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self.log_broker.publish(
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{
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"level": record.levelname,
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"time": record.asctime,
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"time": time.time(),
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"data": log_entry,
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},
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)
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@@ -48,6 +48,7 @@ class KnowledgeBaseRoute(Route):
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# 文档管理
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"/kb/document/list": ("GET", self.list_documents),
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"/kb/document/upload": ("POST", self.upload_document),
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"/kb/document/import": ("POST", self.import_documents),
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"/kb/document/upload/url": ("POST", self.upload_document_from_url),
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"/kb/document/upload/progress": ("GET", self.get_upload_progress),
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"/kb/document/get": ("GET", self.get_document),
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@@ -66,6 +67,65 @@ class KnowledgeBaseRoute(Route):
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def _get_kb_manager(self):
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return self.core_lifecycle.kb_manager
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def _init_task(self, task_id: str, status: str = "pending") -> None:
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self.upload_tasks[task_id] = {
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"status": status,
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"result": None,
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"error": None,
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}
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def _set_task_result(
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self, task_id: str, status: str, result: any = None, error: str | None = None
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) -> None:
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self.upload_tasks[task_id] = {
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"status": status,
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"result": result,
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"error": error,
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}
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if task_id in self.upload_progress:
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self.upload_progress[task_id]["status"] = status
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def _update_progress(
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self,
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task_id: str,
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*,
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status: str | None = None,
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file_index: int | None = None,
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file_name: str | None = None,
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stage: str | None = None,
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current: int | None = None,
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total: int | None = None,
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) -> None:
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if task_id not in self.upload_progress:
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return
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p = self.upload_progress[task_id]
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if status is not None:
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p["status"] = status
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if file_index is not None:
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p["file_index"] = file_index
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if file_name is not None:
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p["file_name"] = file_name
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if stage is not None:
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p["stage"] = stage
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if current is not None:
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p["current"] = current
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if total is not None:
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p["total"] = total
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def _make_progress_callback(self, task_id: str, file_idx: int, file_name: str):
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async def _callback(stage: str, current: int, total: int):
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self._update_progress(
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task_id,
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status="processing",
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file_index=file_idx,
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file_name=file_name,
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stage=stage,
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current=current,
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total=total,
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)
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return _callback
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async def _background_upload_task(
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self,
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task_id: str,
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@@ -80,11 +140,7 @@ class KnowledgeBaseRoute(Route):
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"""后台上传任务"""
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try:
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# 初始化任务状态
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self.upload_tasks[task_id] = {
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"status": "processing",
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"result": None,
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"error": None,
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}
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self._init_task(task_id, status="processing")
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self.upload_progress[task_id] = {
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"status": "processing",
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"file_index": 0,
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@@ -100,30 +156,20 @@ class KnowledgeBaseRoute(Route):
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for file_idx, file_info in enumerate(files_to_upload):
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try:
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# 更新整体进度
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self.upload_progress[task_id].update(
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{
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"status": "processing",
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"file_index": file_idx,
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"file_name": file_info["file_name"],
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"stage": "parsing",
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"current": 0,
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"total": 100,
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},
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self._update_progress(
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task_id,
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status="processing",
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file_index=file_idx,
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file_name=file_info["file_name"],
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stage="parsing",
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current=0,
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total=100,
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)
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# 创建进度回调函数
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async def progress_callback(stage, current, total):
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if task_id in self.upload_progress:
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self.upload_progress[task_id].update(
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{
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"status": "processing",
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"file_index": file_idx,
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"file_name": file_info["file_name"],
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"stage": stage,
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"current": current,
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"total": total,
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},
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)
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progress_callback = self._make_progress_callback(
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task_id, file_idx, file_info["file_name"]
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)
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doc = await kb_helper.upload_document(
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file_name=file_info["file_name"],
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@@ -154,23 +200,99 @@ class KnowledgeBaseRoute(Route):
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"failed_count": len(failed_docs),
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}
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self.upload_tasks[task_id] = {
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"status": "completed",
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"result": result,
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"error": None,
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}
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self.upload_progress[task_id]["status"] = "completed"
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self._set_task_result(task_id, "completed", result=result)
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except Exception as e:
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logger.error(f"后台上传任务 {task_id} 失败: {e}")
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logger.error(traceback.format_exc())
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self.upload_tasks[task_id] = {
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"status": "failed",
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"result": None,
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"error": str(e),
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self._set_task_result(task_id, "failed", error=str(e))
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async def _background_import_task(
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self,
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task_id: str,
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kb_helper,
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documents: list,
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batch_size: int,
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tasks_limit: int,
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max_retries: int,
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):
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"""后台导入预切片文档任务"""
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try:
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# 初始化任务状态
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self._init_task(task_id, status="processing")
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self.upload_progress[task_id] = {
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"status": "processing",
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"file_index": 0,
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"file_total": len(documents),
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"stage": "waiting",
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"current": 0,
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"total": 100,
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}
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if task_id in self.upload_progress:
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self.upload_progress[task_id]["status"] = "failed"
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uploaded_docs = []
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failed_docs = []
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for file_idx, doc_info in enumerate(documents):
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file_name = doc_info.get("file_name", f"imported_doc_{file_idx}")
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chunks = doc_info.get("chunks", [])
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try:
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# 更新整体进度
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self._update_progress(
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task_id,
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status="processing",
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file_index=file_idx,
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file_name=file_name,
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stage="importing",
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current=0,
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total=100,
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)
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# 创建进度回调函数
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progress_callback = self._make_progress_callback(
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task_id, file_idx, file_name
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)
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# 调用 upload_document,传入 pre_chunked_text
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doc = await kb_helper.upload_document(
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file_name=file_name,
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file_content=None, # 预切片模式下不需要原始内容
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file_type=doc_info.get("file_type")
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or (
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file_name.rsplit(".", 1)[-1].lower()
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if "." in file_name
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else "txt"
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),
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batch_size=batch_size,
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tasks_limit=tasks_limit,
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max_retries=max_retries,
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progress_callback=progress_callback,
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pre_chunked_text=chunks,
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)
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uploaded_docs.append(doc.model_dump())
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except Exception as e:
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logger.error(f"导入文档 {file_name} 失败: {e}")
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failed_docs.append(
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{"file_name": file_name, "error": str(e)},
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)
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# 更新任务完成状态
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result = {
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"task_id": task_id,
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"uploaded": uploaded_docs,
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"failed": failed_docs,
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"total": len(documents),
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"success_count": len(uploaded_docs),
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"failed_count": len(failed_docs),
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}
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self._set_task_result(task_id, "completed", result=result)
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except Exception as e:
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logger.error(f"后台导入任务 {task_id} 失败: {e}")
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logger.error(traceback.format_exc())
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self._set_task_result(task_id, "failed", error=str(e))
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async def list_kbs(self):
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"""获取知识库列表
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@@ -614,11 +736,7 @@ class KnowledgeBaseRoute(Route):
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task_id = str(uuid.uuid4())
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# 初始化任务状态
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self.upload_tasks[task_id] = {
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"status": "pending",
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"result": None,
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"error": None,
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}
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self._init_task(task_id, status="pending")
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# 启动后台任务
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asyncio.create_task(
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@@ -653,6 +771,93 @@ class KnowledgeBaseRoute(Route):
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logger.error(traceback.format_exc())
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return Response().error(f"上传文档失败: {e!s}").__dict__
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def _validate_import_request(self, data: dict):
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kb_id = data.get("kb_id")
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if not kb_id:
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raise ValueError("缺少参数 kb_id")
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documents = data.get("documents")
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if not documents or not isinstance(documents, list):
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raise ValueError("缺少参数 documents 或格式错误")
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for doc in documents:
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if "file_name" not in doc or "chunks" not in doc:
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raise ValueError("文档格式错误,必须包含 file_name 和 chunks")
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if not isinstance(doc["chunks"], list):
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raise ValueError("chunks 必须是列表")
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if not all(
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isinstance(chunk, str) and chunk.strip() for chunk in doc["chunks"]
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):
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raise ValueError("chunks 必须是非空字符串列表")
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batch_size = data.get("batch_size", 32)
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tasks_limit = data.get("tasks_limit", 3)
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max_retries = data.get("max_retries", 3)
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return kb_id, documents, batch_size, tasks_limit, max_retries
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async def import_documents(self):
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"""导入预切片文档
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Body:
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- kb_id: 知识库 ID (必填)
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- documents: 文档列表 (必填)
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- file_name: 文件名 (必填)
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- chunks: 切片列表 (必填, list[str])
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- file_type: 文件类型 (可选, 默认从文件名推断或为 txt)
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- batch_size: 批处理大小 (可选, 默认32)
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- tasks_limit: 并发任务限制 (可选, 默认3)
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- max_retries: 最大重试次数 (可选, 默认3)
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"""
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try:
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kb_manager = self._get_kb_manager()
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data = await request.json
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|
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kb_id, documents, batch_size, tasks_limit, max_retries = (
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self._validate_import_request(data)
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)
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# 获取知识库
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kb_helper = await kb_manager.get_kb(kb_id)
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if not kb_helper:
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return Response().error("知识库不存在").__dict__
|
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|
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# 生成任务ID
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task_id = str(uuid.uuid4())
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|
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# 初始化任务状态
|
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self._init_task(task_id, status="pending")
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# 启动后台任务
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asyncio.create_task(
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self._background_import_task(
|
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task_id=task_id,
|
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kb_helper=kb_helper,
|
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documents=documents,
|
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batch_size=batch_size,
|
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tasks_limit=tasks_limit,
|
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max_retries=max_retries,
|
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),
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)
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|
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return (
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Response()
|
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.ok(
|
||||
{
|
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"task_id": task_id,
|
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"doc_count": len(documents),
|
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"message": "import task created, processing in background",
|
||||
},
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||||
)
|
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.__dict__
|
||||
)
|
||||
|
||||
except ValueError as e:
|
||||
return Response().error(str(e)).__dict__
|
||||
except Exception as e:
|
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logger.error(f"导入文档失败: {e}")
|
||||
logger.error(traceback.format_exc())
|
||||
return Response().error(f"导入文档失败: {e!s}").__dict__
|
||||
|
||||
async def get_upload_progress(self):
|
||||
"""获取上传进度和结果
|
||||
|
||||
@@ -960,11 +1165,7 @@ class KnowledgeBaseRoute(Route):
|
||||
task_id = str(uuid.uuid4())
|
||||
|
||||
# 初始化任务状态
|
||||
self.upload_tasks[task_id] = {
|
||||
"status": "pending",
|
||||
"result": None,
|
||||
"error": None,
|
||||
}
|
||||
self._init_task(task_id, status="pending")
|
||||
|
||||
# 启动后台任务
|
||||
asyncio.create_task(
|
||||
@@ -1017,11 +1218,7 @@ class KnowledgeBaseRoute(Route):
|
||||
"""后台上传URL任务"""
|
||||
try:
|
||||
# 初始化任务状态
|
||||
self.upload_tasks[task_id] = {
|
||||
"status": "processing",
|
||||
"result": None,
|
||||
"error": None,
|
||||
}
|
||||
self._init_task(task_id, status="processing")
|
||||
self.upload_progress[task_id] = {
|
||||
"status": "processing",
|
||||
"file_index": 0,
|
||||
@@ -1033,18 +1230,7 @@ class KnowledgeBaseRoute(Route):
|
||||
}
|
||||
|
||||
# 创建进度回调函数
|
||||
async def progress_callback(stage, current, total):
|
||||
if task_id in self.upload_progress:
|
||||
self.upload_progress[task_id].update(
|
||||
{
|
||||
"status": "processing",
|
||||
"file_index": 0,
|
||||
"file_name": f"URL: {url}",
|
||||
"stage": stage,
|
||||
"current": current,
|
||||
"total": total,
|
||||
},
|
||||
)
|
||||
progress_callback = self._make_progress_callback(task_id, 0, f"URL: {url}")
|
||||
|
||||
# 上传文档
|
||||
doc = await kb_helper.upload_from_url(
|
||||
@@ -1069,20 +1255,9 @@ class KnowledgeBaseRoute(Route):
|
||||
"failed_count": 0,
|
||||
}
|
||||
|
||||
self.upload_tasks[task_id] = {
|
||||
"status": "completed",
|
||||
"result": result,
|
||||
"error": None,
|
||||
}
|
||||
self.upload_progress[task_id]["status"] = "completed"
|
||||
self._set_task_result(task_id, "completed", result=result)
|
||||
|
||||
except Exception as e:
|
||||
logger.error(f"后台上传URL任务 {task_id} 失败: {e}")
|
||||
logger.error(traceback.format_exc())
|
||||
self.upload_tasks[task_id] = {
|
||||
"status": "failed",
|
||||
"result": None,
|
||||
"error": str(e),
|
||||
}
|
||||
if task_id in self.upload_progress:
|
||||
self.upload_progress[task_id]["status"] = "failed"
|
||||
self._set_task_result(task_id, "failed", error=str(e))
|
||||
|
||||
@@ -0,0 +1,19 @@
|
||||
## What's Changed
|
||||
|
||||
### 新增
|
||||
|
||||
- 支持自定义插件源。
|
||||
- 支持飞书(Lark)的 Webhook 模式(将事件推送至开发者服务器)。
|
||||
- 支持 “禁用自带指令” 快捷配置项,启用后将禁用所有 AstrBot 自带指令。入口: WebUI -> 配置文件 -> 平台配置。
|
||||
|
||||
### 优化
|
||||
|
||||
- 从 WebUI 移除了开发版本渠道。
|
||||
- 当试图测试"Agent Runner"时,提示前往配置文件页测试。
|
||||
- WebUI 列表项支持批量粘贴、回车创建项目。
|
||||
|
||||
### 修复
|
||||
|
||||
- Gemini API 部分调用失败的问题。
|
||||
- WebUI 插件安装加载 Dialog 关闭按钮在手机端下显示异常的问题。
|
||||
- 部分情况下,WebUI 日志显示不全的问题。
|
||||
Binary file not shown.
|
After Width: | Height: | Size: 12 KiB |
@@ -1,6 +1,7 @@
|
||||
<script setup>
|
||||
import { useCommonStore } from '@/stores/common';
|
||||
import { storeToRefs } from 'pinia';
|
||||
import axios from 'axios';
|
||||
</script>
|
||||
|
||||
<template>
|
||||
@@ -24,8 +25,6 @@ import { storeToRefs } from 'pinia';
|
||||
export default {
|
||||
name: 'ConsoleDisplayer',
|
||||
data() {
|
||||
const commonStore = useCommonStore();
|
||||
const { log_cache } = storeToRefs(commonStore);
|
||||
return {
|
||||
autoScroll: true, // 默认开启自动滚动
|
||||
logColorAnsiMap: {
|
||||
@@ -38,7 +37,6 @@ export default {
|
||||
'\u001b[32m': 'color: #00FF00;', // green
|
||||
'default': 'color: #FFFFFF;'
|
||||
},
|
||||
logCache: log_cache,
|
||||
historyNum_: -1,
|
||||
logLevels: ['DEBUG', 'INFO', 'WARNING', 'ERROR', 'CRITICAL'],
|
||||
selectedLevels: [0, 1, 2, 3, 4], // 默认选中所有级别
|
||||
@@ -48,7 +46,17 @@ export default {
|
||||
'WARNING': 'amber',
|
||||
'ERROR': 'red',
|
||||
'CRITICAL': 'purple'
|
||||
}
|
||||
},
|
||||
lastProcessedTime: 0, // 记录最后处理的日志时间戳
|
||||
localLogCache: [], // 本地日志缓存
|
||||
}
|
||||
},
|
||||
computed: {
|
||||
commonStore() {
|
||||
return useCommonStore();
|
||||
},
|
||||
logCache() {
|
||||
return this.commonStore.log_cache;
|
||||
}
|
||||
},
|
||||
props: {
|
||||
@@ -63,13 +71,39 @@ export default {
|
||||
},
|
||||
watch: {
|
||||
logCache: {
|
||||
handler(val) {
|
||||
const lastLog = val[this.logCache.length - 1];
|
||||
if (lastLog && this.isLevelSelected(lastLog.level)) {
|
||||
this.printLog(lastLog.data);
|
||||
handler(newVal) {
|
||||
// 基于 timestamp 处理新增的日志
|
||||
if (newVal && newVal.length > 0) {
|
||||
// 确保 DOM 已经准备好
|
||||
this.$nextTick(() => {
|
||||
// 合并到本地缓存并按时间排序
|
||||
const newLogs = newVal.filter(log => log.time > this.lastProcessedTime);
|
||||
|
||||
if (newLogs.length > 0) {
|
||||
this.localLogCache.push(...newLogs);
|
||||
// 按时间戳排序
|
||||
this.localLogCache.sort((a, b) => a.time - b.time);
|
||||
|
||||
// 只保留最新的 log_cache_max_len 条
|
||||
if (this.localLogCache.length > this.commonStore.log_cache_max_len) {
|
||||
this.localLogCache.splice(0, this.localLogCache.length - this.commonStore.log_cache_max_len);
|
||||
}
|
||||
|
||||
// 显示新日志
|
||||
newLogs.forEach(logItem => {
|
||||
if (this.isLevelSelected(logItem.level)) {
|
||||
this.printLog(logItem.data);
|
||||
}
|
||||
});
|
||||
|
||||
// 更新最后处理时间
|
||||
this.lastProcessedTime = Math.max(...newLogs.map(log => log.time));
|
||||
}
|
||||
});
|
||||
}
|
||||
},
|
||||
deep: true
|
||||
deep: true,
|
||||
immediate: false
|
||||
},
|
||||
selectedLevels: {
|
||||
handler() {
|
||||
@@ -78,14 +112,37 @@ export default {
|
||||
deep: true
|
||||
}
|
||||
},
|
||||
mounted() {
|
||||
if (this.logCache.length === 0) {
|
||||
this.delayInit()
|
||||
} else {
|
||||
this.init()
|
||||
}
|
||||
async mounted() {
|
||||
// 请求历史日志
|
||||
await this.fetchLogHistory();
|
||||
|
||||
// 等待 DOM 准备好后,显示历史日志
|
||||
this.$nextTick(() => {
|
||||
if (this.localLogCache.length > 0) {
|
||||
this.localLogCache.forEach(logItem => {
|
||||
if (this.isLevelSelected(logItem.level)) {
|
||||
this.printLog(logItem.data);
|
||||
}
|
||||
});
|
||||
// 更新最后处理时间
|
||||
this.lastProcessedTime = Math.max(...this.localLogCache.map(log => log.time));
|
||||
}
|
||||
});
|
||||
},
|
||||
methods: {
|
||||
async fetchLogHistory() {
|
||||
try {
|
||||
const res = await axios.get('/api/log-history');
|
||||
if (res.data.data.logs && res.data.data.logs.length > 0) {
|
||||
this.localLogCache = [...res.data.data.logs];
|
||||
// 按时间戳排序
|
||||
this.localLogCache.sort((a, b) => a.time - b.time);
|
||||
}
|
||||
} catch (err) {
|
||||
console.error('Failed to fetch log history:', err);
|
||||
}
|
||||
},
|
||||
|
||||
getLevelColor(level) {
|
||||
return this.levelColors[level] || 'grey';
|
||||
},
|
||||
@@ -101,41 +158,22 @@ export default {
|
||||
},
|
||||
|
||||
refreshDisplay() {
|
||||
// 清空现有的显示
|
||||
const termElement = document.getElementById('term');
|
||||
if (termElement) {
|
||||
termElement.innerHTML = '';
|
||||
}
|
||||
|
||||
// 重新显示符合筛选条件的日志
|
||||
this.init();
|
||||
},
|
||||
|
||||
delayInit() {
|
||||
if (this.logCache.length === 0) {
|
||||
setTimeout(() => {
|
||||
this.delayInit()
|
||||
}, 500)
|
||||
} else {
|
||||
this.init()
|
||||
}
|
||||
},
|
||||
|
||||
init() {
|
||||
this.historyNum_ = parseInt(this.historyNum)
|
||||
let i = 0
|
||||
for (let log of this.logCache) {
|
||||
if (this.isLevelSelected(log.level)) { // 只显示选中级别的日志
|
||||
if (this.historyNum_ != -1 && i >= this.logCache.length - this.historyNum_) {
|
||||
this.printLog(log.data)
|
||||
++i
|
||||
} else if (this.historyNum_ == -1) {
|
||||
this.printLog(log.data)
|
||||
}
|
||||
|
||||
// 重新显示所有符合筛选条件的日志
|
||||
if (this.localLogCache && this.localLogCache.length > 0) {
|
||||
this.localLogCache.forEach(logItem => {
|
||||
if (this.isLevelSelected(logItem.level)) {
|
||||
this.printLog(logItem.data);
|
||||
}
|
||||
});
|
||||
}
|
||||
}
|
||||
},
|
||||
|
||||
|
||||
toggleAutoScroll() {
|
||||
this.autoScroll = !this.autoScroll;
|
||||
},
|
||||
@@ -143,6 +181,11 @@ export default {
|
||||
printLog(log) {
|
||||
// append 一个 span 标签到 term,block 的方式
|
||||
let ele = document.getElementById('term')
|
||||
if (!ele) {
|
||||
console.warn('term element not found, skipping log print');
|
||||
return;
|
||||
}
|
||||
|
||||
let span = document.createElement('pre')
|
||||
let style = this.logColorAnsiMap['default']
|
||||
for (let key in this.logColorAnsiMap) {
|
||||
|
||||
@@ -16,21 +16,6 @@ export const useCommonStore = defineStore({
|
||||
}),
|
||||
actions: {
|
||||
async createEventSource() {
|
||||
|
||||
const fetchLogHistory = async () => {
|
||||
try {
|
||||
const res = await axios.get('/api/log-history');
|
||||
if (res.data.data.logs) {
|
||||
this.log_cache.push(...res.data.data.logs);
|
||||
} else {
|
||||
this.log_cache = [];
|
||||
}
|
||||
} catch (err) {
|
||||
console.error('Failed to fetch log history:', err);
|
||||
}
|
||||
};
|
||||
await fetchLogHistory();
|
||||
|
||||
if (this.eventSource) {
|
||||
return
|
||||
}
|
||||
@@ -54,25 +39,9 @@ export const useCommonStore = defineStore({
|
||||
|
||||
const reader = response.body.getReader();
|
||||
const decoder = new TextDecoder();
|
||||
|
||||
let incompleteLine = ""; // 用于存储不完整的行
|
||||
|
||||
const handleIncompleteLine = (line) => {
|
||||
incompleteLine += line;
|
||||
// if can parse as JSON, return it
|
||||
try {
|
||||
const data_json = JSON.parse(incompleteLine);
|
||||
incompleteLine = ""; // 清空不完整行
|
||||
return data_json;
|
||||
} catch (e) {
|
||||
return null;
|
||||
}
|
||||
}
|
||||
let bufferedText = '';
|
||||
|
||||
const processStream = ({ done, value }) => {
|
||||
// get bytes length
|
||||
const bytesLength = value ? value.byteLength : 0;
|
||||
console.log(`Received ${bytesLength} bytes from live log`);
|
||||
if (done) {
|
||||
console.log('SSE stream closed');
|
||||
setTimeout(() => {
|
||||
@@ -82,44 +51,41 @@ export const useCommonStore = defineStore({
|
||||
return;
|
||||
}
|
||||
|
||||
const text = decoder.decode(value);
|
||||
const lines = text.split('\n\n');
|
||||
lines.forEach(line => {
|
||||
if (!line.trim()) {
|
||||
// Accumulate partial chunks; SSE data may split JSON across reads.
|
||||
const text = decoder.decode(value, { stream: true });
|
||||
bufferedText += text;
|
||||
|
||||
// Split completed events; keep the trailing partial in buffer.
|
||||
const segments = bufferedText.split('\n\n');
|
||||
bufferedText = segments.pop() || '';
|
||||
|
||||
segments.forEach(segment => {
|
||||
const line = segment.trim();
|
||||
if (!line.startsWith('data: ')) {
|
||||
return;
|
||||
}
|
||||
if (line.startsWith('data:')) {
|
||||
const data = line.substring(5).trim();
|
||||
// {"type":"log","data":"[2021-08-01 00:00:00] INFO: Hello, world!"}
|
||||
let data_json = {}
|
||||
try {
|
||||
data_json = JSON.parse(data);
|
||||
} catch (e) {
|
||||
console.warn('Invalid JSON:', data);
|
||||
// 尝试处理不完整的行
|
||||
const parsedData = handleIncompleteLine(data);
|
||||
if (parsedData) {
|
||||
data_json = parsedData;
|
||||
} else {
|
||||
return; // 如果无法解析,跳过当前行
|
||||
}
|
||||
|
||||
const logLine = line.replace('data: ', '').trim();
|
||||
if (!logLine) {
|
||||
return;
|
||||
}
|
||||
|
||||
try {
|
||||
const logObject = JSON.parse(logLine);
|
||||
// give a uuid if not exists
|
||||
if (!logObject.uuid) {
|
||||
logObject.uuid = crypto.randomUUID();
|
||||
}
|
||||
if (data_json.type === 'log') {
|
||||
this.log_cache.push(data_json);
|
||||
if (this.log_cache.length > this.log_cache_max_len) {
|
||||
this.log_cache.shift();
|
||||
}
|
||||
}
|
||||
} else {
|
||||
const parsedData = handleIncompleteLine(line);
|
||||
if (parsedData && parsedData.type === 'log') {
|
||||
this.log_cache.push(parsedData);
|
||||
if (this.log_cache.length > this.log_cache_max_len) {
|
||||
this.log_cache.shift();
|
||||
}
|
||||
this.log_cache.push(logObject);
|
||||
// Limit log cache size
|
||||
if (this.log_cache.length > this.log_cache_max_len) {
|
||||
this.log_cache.splice(0, this.log_cache.length - this.log_cache_max_len);
|
||||
}
|
||||
} catch (err) {
|
||||
console.warn('Failed to parse SSE log line, skipping:', err, logLine);
|
||||
}
|
||||
});
|
||||
|
||||
return reader.read().then(processStream);
|
||||
};
|
||||
|
||||
|
||||
+1
-1
@@ -1,6 +1,6 @@
|
||||
[project]
|
||||
name = "AstrBot"
|
||||
version = "4.8.0"
|
||||
version = "4.9.0"
|
||||
description = "Easy-to-use multi-platform LLM chatbot and development framework"
|
||||
readme = "README.md"
|
||||
requires-python = ">=3.10"
|
||||
|
||||
@@ -0,0 +1,209 @@
|
||||
import asyncio
|
||||
from unittest.mock import AsyncMock, MagicMock
|
||||
|
||||
import pytest
|
||||
import pytest_asyncio
|
||||
from quart import Quart
|
||||
|
||||
from astrbot.core import LogBroker
|
||||
from astrbot.core.core_lifecycle import AstrBotCoreLifecycle
|
||||
from astrbot.core.db.sqlite import SQLiteDatabase
|
||||
from astrbot.core.knowledge_base.kb_helper import KBHelper
|
||||
from astrbot.core.knowledge_base.models import KBDocument
|
||||
from astrbot.dashboard.server import AstrBotDashboard
|
||||
|
||||
|
||||
@pytest_asyncio.fixture(scope="module")
|
||||
async def core_lifecycle_td(tmp_path_factory):
|
||||
"""Creates and initializes a core lifecycle instance with a temporary database."""
|
||||
tmp_db_path = tmp_path_factory.mktemp("data") / "test_data_kb.db"
|
||||
db = SQLiteDatabase(str(tmp_db_path))
|
||||
log_broker = LogBroker()
|
||||
core_lifecycle = AstrBotCoreLifecycle(log_broker, db)
|
||||
await core_lifecycle.initialize()
|
||||
|
||||
# Mock kb_manager and kb_helper
|
||||
kb_manager = MagicMock()
|
||||
kb_helper = AsyncMock(spec=KBHelper)
|
||||
|
||||
# Configure get_kb to be an async mock that returns kb_helper
|
||||
kb_manager.get_kb = AsyncMock(return_value=kb_helper)
|
||||
|
||||
# Mock upload_document return value
|
||||
mock_doc = KBDocument(
|
||||
doc_id="test_doc_id",
|
||||
kb_id="test_kb_id",
|
||||
doc_name="test_file.txt",
|
||||
file_type="txt",
|
||||
file_size=100,
|
||||
file_path="",
|
||||
chunk_count=2,
|
||||
media_count=0,
|
||||
)
|
||||
kb_helper.upload_document.return_value = mock_doc
|
||||
|
||||
# kb_manager.get_kb.return_value = kb_helper # Removed this line as it's handled above
|
||||
core_lifecycle.kb_manager = kb_manager
|
||||
|
||||
try:
|
||||
yield core_lifecycle
|
||||
finally:
|
||||
try:
|
||||
_stop_res = core_lifecycle.stop()
|
||||
if asyncio.iscoroutine(_stop_res):
|
||||
await _stop_res
|
||||
except Exception:
|
||||
pass
|
||||
|
||||
|
||||
@pytest.fixture(scope="module")
|
||||
def app(core_lifecycle_td: AstrBotCoreLifecycle):
|
||||
"""Creates a Quart app instance for testing."""
|
||||
shutdown_event = asyncio.Event()
|
||||
server = AstrBotDashboard(core_lifecycle_td, core_lifecycle_td.db, shutdown_event)
|
||||
return server.app
|
||||
|
||||
|
||||
@pytest_asyncio.fixture(scope="module")
|
||||
async def authenticated_header(app: Quart, core_lifecycle_td: AstrBotCoreLifecycle):
|
||||
"""Handles login and returns an authenticated header."""
|
||||
test_client = app.test_client()
|
||||
response = await test_client.post(
|
||||
"/api/auth/login",
|
||||
json={
|
||||
"username": core_lifecycle_td.astrbot_config["dashboard"]["username"],
|
||||
"password": core_lifecycle_td.astrbot_config["dashboard"]["password"],
|
||||
},
|
||||
)
|
||||
data = await response.get_json()
|
||||
assert data["status"] == "ok"
|
||||
token = data["data"]["token"]
|
||||
return {"Authorization": f"Bearer {token}"}
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_import_documents(
|
||||
app: Quart, authenticated_header: dict, core_lifecycle_td: AstrBotCoreLifecycle
|
||||
):
|
||||
"""Tests the import documents functionality."""
|
||||
test_client = app.test_client()
|
||||
|
||||
# Test data
|
||||
import_data = {
|
||||
"kb_id": "test_kb_id",
|
||||
"documents": [
|
||||
{"file_name": "test_file_1.txt", "chunks": ["chunk1", "chunk2"]},
|
||||
{"file_name": "test_file_2.md", "chunks": ["chunk3", "chunk4", "chunk5"]},
|
||||
],
|
||||
}
|
||||
|
||||
# Send request
|
||||
response = await test_client.post(
|
||||
"/api/kb/document/import", json=import_data, headers=authenticated_header
|
||||
)
|
||||
|
||||
# Verify response
|
||||
assert response.status_code == 200
|
||||
data = await response.get_json()
|
||||
assert data["status"] == "ok"
|
||||
assert "task_id" in data["data"]
|
||||
assert data["data"]["doc_count"] == 2
|
||||
|
||||
task_id = data["data"]["task_id"]
|
||||
|
||||
# Wait for background task to complete (mocked)
|
||||
# Since we mocked upload_document, it should be fast, but we might need to poll progress
|
||||
for _ in range(10):
|
||||
progress_response = await test_client.get(
|
||||
f"/api/kb/document/upload/progress?task_id={task_id}",
|
||||
headers=authenticated_header,
|
||||
)
|
||||
progress_data = await progress_response.get_json()
|
||||
if progress_data["data"]["status"] == "completed":
|
||||
break
|
||||
await asyncio.sleep(0.1)
|
||||
|
||||
assert progress_data["data"]["status"] == "completed"
|
||||
result = progress_data["data"]["result"]
|
||||
assert result["success_count"] == 2
|
||||
assert result["failed_count"] == 0
|
||||
|
||||
# Verify kb_helper.upload_document was called correctly
|
||||
kb_helper = await core_lifecycle_td.kb_manager.get_kb("test_kb_id")
|
||||
assert kb_helper.upload_document.call_count == 2
|
||||
|
||||
# Check first call arguments
|
||||
call_args_list = kb_helper.upload_document.call_args_list
|
||||
|
||||
# First document
|
||||
args1, kwargs1 = call_args_list[0]
|
||||
assert kwargs1["file_name"] == "test_file_1.txt"
|
||||
assert kwargs1["pre_chunked_text"] == ["chunk1", "chunk2"]
|
||||
|
||||
# Second document
|
||||
args2, kwargs2 = call_args_list[1]
|
||||
assert kwargs2["file_name"] == "test_file_2.md"
|
||||
assert kwargs2["pre_chunked_text"] == ["chunk3", "chunk4", "chunk5"]
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_import_documents_invalid_input(app: Quart, authenticated_header: dict):
|
||||
"""Tests import documents with invalid input."""
|
||||
test_client = app.test_client()
|
||||
|
||||
# Missing kb_id
|
||||
response = await test_client.post(
|
||||
"/api/kb/document/import", json={"documents": []}, headers=authenticated_header
|
||||
)
|
||||
data = await response.get_json()
|
||||
assert data["status"] == "error"
|
||||
assert "缺少参数 kb_id" in data["message"]
|
||||
|
||||
# Missing documents
|
||||
response = await test_client.post(
|
||||
"/api/kb/document/import",
|
||||
json={"kb_id": "test_kb"},
|
||||
headers=authenticated_header,
|
||||
)
|
||||
data = await response.get_json()
|
||||
assert data["status"] == "error"
|
||||
assert "缺少参数 documents" in data["message"]
|
||||
|
||||
# Invalid document format
|
||||
response = await test_client.post(
|
||||
"/api/kb/document/import",
|
||||
json={
|
||||
"kb_id": "test_kb",
|
||||
"documents": [{"file_name": "test"}], # Missing chunks
|
||||
},
|
||||
headers=authenticated_header,
|
||||
)
|
||||
data = await response.get_json()
|
||||
assert data["status"] == "error"
|
||||
assert "文档格式错误" in data["message"]
|
||||
|
||||
# Invalid chunks type
|
||||
response = await test_client.post(
|
||||
"/api/kb/document/import",
|
||||
json={
|
||||
"kb_id": "test_kb",
|
||||
"documents": [{"file_name": "test", "chunks": "not-a-list"}],
|
||||
},
|
||||
headers=authenticated_header,
|
||||
)
|
||||
data = await response.get_json()
|
||||
assert data["status"] == "error"
|
||||
assert "chunks 必须是列表" in data["message"]
|
||||
|
||||
# Invalid chunks content
|
||||
response = await test_client.post(
|
||||
"/api/kb/document/import",
|
||||
json={
|
||||
"kb_id": "test_kb",
|
||||
"documents": [{"file_name": "test", "chunks": ["valid", ""]}],
|
||||
},
|
||||
headers=authenticated_header,
|
||||
)
|
||||
data = await response.get_json()
|
||||
assert data["status"] == "error"
|
||||
assert "chunks 必须是非空字符串列表" in data["message"]
|
||||
Reference in New Issue
Block a user