Files
ragflow/api/db/__init__.py
Kevin Hu 3e5a39482e Feat: Support multiple data sources synchronizations (#10954)
### What problem does this PR solve?
#10953

### Type of change

- [x] New Feature (non-breaking change which adds functionality)
2025-11-03 19:59:18 +08:00

159 lines
3.6 KiB
Python

#
# Copyright 2024 The InfiniFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
from enum import Enum
from enum import IntEnum
from strenum import StrEnum
class StatusEnum(Enum):
VALID = "1"
INVALID = "0"
class ActiveEnum(Enum):
ACTIVE = "1"
INACTIVE = "0"
class UserTenantRole(StrEnum):
OWNER = 'owner'
ADMIN = 'admin'
NORMAL = 'normal'
INVITE = 'invite'
class TenantPermission(StrEnum):
ME = 'me'
TEAM = 'team'
class SerializedType(IntEnum):
PICKLE = 1
JSON = 2
class FileType(StrEnum):
PDF = 'pdf'
DOC = 'doc'
VISUAL = 'visual'
AURAL = 'aural'
VIRTUAL = 'virtual'
FOLDER = 'folder'
OTHER = "other"
VALID_FILE_TYPES = {FileType.PDF, FileType.DOC, FileType.VISUAL, FileType.AURAL, FileType.VIRTUAL, FileType.FOLDER, FileType.OTHER}
class LLMType(StrEnum):
CHAT = 'chat'
EMBEDDING = 'embedding'
SPEECH2TEXT = 'speech2text'
IMAGE2TEXT = 'image2text'
RERANK = 'rerank'
TTS = 'tts'
class ChatStyle(StrEnum):
CREATIVE = 'Creative'
PRECISE = 'Precise'
EVENLY = 'Evenly'
CUSTOM = 'Custom'
class TaskStatus(StrEnum):
UNSTART = "0"
RUNNING = "1"
CANCEL = "2"
DONE = "3"
FAIL = "4"
SCHEDULE = "5"
VALID_TASK_STATUS = {TaskStatus.UNSTART, TaskStatus.RUNNING, TaskStatus.CANCEL, TaskStatus.DONE, TaskStatus.FAIL, TaskStatus.SCHEDULE}
class ParserType(StrEnum):
PRESENTATION = "presentation"
LAWS = "laws"
MANUAL = "manual"
PAPER = "paper"
RESUME = "resume"
BOOK = "book"
QA = "qa"
TABLE = "table"
NAIVE = "naive"
PICTURE = "picture"
ONE = "one"
AUDIO = "audio"
EMAIL = "email"
KG = "knowledge_graph"
TAG = "tag"
class FileSource(StrEnum):
LOCAL = ""
KNOWLEDGEBASE = "knowledgebase"
S3 = "s3"
NOTION = "notion"
DISCORD = "discord"
CONFLUENNCE = "confluence"
GMAIL = "gmail"
GOOGLE_DRIVER = "google_driver"
JIRA = "jira"
SHAREPOINT = "sharepoint"
SLACK = "slack"
TEAMS = "teams"
class InputType(StrEnum):
LOAD_STATE = "load_state" # e.g. loading a current full state or a save state, such as from a file
POLL = "poll" # e.g. calling an API to get all documents in the last hour
EVENT = "event" # e.g. registered an endpoint as a listener, and processing connector events
SLIM_RETRIEVAL = "slim_retrieval"
class CanvasType(StrEnum):
ChatBot = "chatbot"
DocBot = "docbot"
class CanvasCategory(StrEnum):
Agent = "agent_canvas"
DataFlow = "dataflow_canvas"
VALID_CANVAS_CATEGORIES = {CanvasCategory.Agent, CanvasCategory.DataFlow}
class MCPServerType(StrEnum):
SSE = "sse"
STREAMABLE_HTTP = "streamable-http"
VALID_MCP_SERVER_TYPES = {MCPServerType.SSE, MCPServerType.STREAMABLE_HTTP}
class PipelineTaskType(StrEnum):
PARSE = "Parse"
DOWNLOAD = "Download"
RAPTOR = "RAPTOR"
GRAPH_RAG = "GraphRAG"
MINDMAP = "Mindmap"
VALID_PIPELINE_TASK_TYPES = {PipelineTaskType.PARSE, PipelineTaskType.DOWNLOAD, PipelineTaskType.RAPTOR, PipelineTaskType.GRAPH_RAG, PipelineTaskType.MINDMAP}
KNOWLEDGEBASE_FOLDER_NAME=".knowledgebase"