68f663f2f4
主要变更: - 移除Hermes智能体及相关回调服务 - 新增知识库RAG、同步、调度、规范化和索引任务服务 - 重构orchestrator服务，增强运行时聊天功能 - 更新前端聊天、政策制度、设置等页面样式和逻辑 - 更新expense_claims和document_intelligence服务 - 删除llm_wiki相关服务和测试文件 - 更新docker-compose配置和启动脚本
140 lines
4.7 KiB
Python
140 lines
4.7 KiB
Python
from __future__ import annotations
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import httpx
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from typing import Literal
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class APIStatusError(Exception):
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"""Raised when an API response has a status code of 4xx or 5xx."""
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response: httpx.Response
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status_code: int
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request_id: str | None
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def __init__(
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self, message: str, *, response: httpx.Response, body: object | None
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) -> None:
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super().__init__(message)
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self.request = response.request
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self.body = body
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self.response = response
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self.status_code = response.status_code
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self.request_id = response.headers.get("x-request-id")
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class APIConnectionError(Exception):
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def __init__(
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self, *, message: str = "Connection error.", request: httpx.Request | None
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) -> None:
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super().__init__(message)
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self.request = request
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class BadRequestError(APIStatusError):
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status_code: Literal[400] = 400 # pyright: ignore[reportIncompatibleVariableOverride]
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class AuthenticationError(APIStatusError):
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status_code: Literal[401] = 401 # pyright: ignore[reportIncompatibleVariableOverride]
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class PermissionDeniedError(APIStatusError):
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status_code: Literal[403] = 403 # pyright: ignore[reportIncompatibleVariableOverride]
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class NotFoundError(APIStatusError):
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status_code: Literal[404] = 404 # pyright: ignore[reportIncompatibleVariableOverride]
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class ConflictError(APIStatusError):
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status_code: Literal[409] = 409 # pyright: ignore[reportIncompatibleVariableOverride]
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class UnprocessableEntityError(APIStatusError):
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status_code: Literal[422] = 422 # pyright: ignore[reportIncompatibleVariableOverride]
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class RateLimitError(APIStatusError):
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status_code: Literal[429] = 429 # pyright: ignore[reportIncompatibleVariableOverride]
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class APITimeoutError(APIConnectionError):
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def __init__(self, request: httpx.Request | None) -> None:
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super().__init__(message="Request timed out.", request=request)
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class StorageNotInitializedError(RuntimeError):
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"""Raised when storage operations are attempted before initialization."""
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def __init__(self, storage_type: str = "Storage"):
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super().__init__(
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f"{storage_type} not initialized. Please ensure proper initialization:\n"
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f"\n"
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f" rag = LightRAG(...)\n"
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f" await rag.initialize_storages() # Required - auto-initializes pipeline_status\n"
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f"\n"
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f"See: https://github.com/HKUDS/LightRAG#important-initialization-requirements"
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)
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class PipelineNotInitializedError(KeyError):
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"""Raised when pipeline status is accessed before initialization."""
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def __init__(self, namespace: str = ""):
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msg = (
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f"Pipeline namespace '{namespace}' not found.\n"
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f"\n"
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f"Pipeline status should be auto-initialized by initialize_storages().\n"
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f"If you see this error, please ensure:\n"
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f"\n"
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f" 1. You called await rag.initialize_storages()\n"
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f" 2. For multi-workspace setups, each LightRAG instance was properly initialized\n"
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f"\n"
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f"Standard initialization:\n"
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f" rag = LightRAG(workspace='your_workspace')\n"
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f" await rag.initialize_storages() # Auto-initializes pipeline_status\n"
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f"\n"
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f"If you need manual control (advanced):\n"
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f" from lightrag.kg.shared_storage import initialize_pipeline_status\n"
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f" await initialize_pipeline_status(workspace='your_workspace')"
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)
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super().__init__(msg)
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class PipelineCancelledException(Exception):
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"""Raised when pipeline processing is cancelled by user request."""
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def __init__(self, message: str = "User cancelled"):
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super().__init__(message)
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self.message = message
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class ChunkTokenLimitExceededError(ValueError):
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"""Raised when a chunk exceeds the configured token limit."""
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def __init__(
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self,
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chunk_tokens: int,
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chunk_token_limit: int,
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chunk_preview: str | None = None,
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) -> None:
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preview = chunk_preview.strip() if chunk_preview else None
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truncated_preview = preview[:80] if preview else None
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preview_note = f" Preview: '{truncated_preview}'" if truncated_preview else ""
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message = (
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f"Chunk token length {chunk_tokens} exceeds chunk_token_size {chunk_token_limit}."
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f"{preview_note}"
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)
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super().__init__(message)
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self.chunk_tokens = chunk_tokens
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self.chunk_token_limit = chunk_token_limit
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self.chunk_preview = truncated_preview
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class DataMigrationError(Exception):
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"""Raised when data migration from legacy collection/table fails."""
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def __init__(self, message: str):
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super().__init__(message)
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self.message = message
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