FEAT: NEW WORKFLOW ENGINE (#3160)

Co-authored-by: Joel <iamjoel007@gmail.com>
Co-authored-by: Yeuoly <admin@srmxy.cn>
Co-authored-by: JzoNg <jzongcode@gmail.com>
Co-authored-by: StyleZhang <jasonapring2015@outlook.com>
Co-authored-by: jyong <jyong@dify.ai>
Co-authored-by: nite-knite <nkCoding@gmail.com>
Co-authored-by: jyong <718720800@qq.com>
This commit is contained in:
takatost
2024-04-08 18:51:46 +08:00
committed by GitHub
parent 2fb9850af5
commit 7753ba2d37
1161 changed files with 103836 additions and 10327 deletions

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from enum import Enum
from typing import Any, Optional
from pydantic import BaseModel
from core.app.app_config.entities import AppConfig, EasyUIBasedAppConfig, WorkflowUIBasedAppConfig
from core.entities.provider_configuration import ProviderModelBundle
from core.file.file_obj import FileVar
from core.model_runtime.entities.model_entities import AIModelEntity
class InvokeFrom(Enum):
"""
Invoke From.
"""
SERVICE_API = 'service-api'
WEB_APP = 'web-app'
EXPLORE = 'explore'
DEBUGGER = 'debugger'
@classmethod
def value_of(cls, value: str) -> 'InvokeFrom':
"""
Get value of given mode.
:param value: mode value
:return: mode
"""
for mode in cls:
if mode.value == value:
return mode
raise ValueError(f'invalid invoke from value {value}')
def to_source(self) -> str:
"""
Get source of invoke from.
:return: source
"""
if self == InvokeFrom.WEB_APP:
return 'web_app'
elif self == InvokeFrom.DEBUGGER:
return 'dev'
elif self == InvokeFrom.EXPLORE:
return 'explore_app'
elif self == InvokeFrom.SERVICE_API:
return 'api'
return 'dev'
class ModelConfigWithCredentialsEntity(BaseModel):
"""
Model Config With Credentials Entity.
"""
provider: str
model: str
model_schema: AIModelEntity
mode: str
provider_model_bundle: ProviderModelBundle
credentials: dict[str, Any] = {}
parameters: dict[str, Any] = {}
stop: list[str] = []
class AppGenerateEntity(BaseModel):
"""
App Generate Entity.
"""
task_id: str
# app config
app_config: AppConfig
inputs: dict[str, str]
files: list[FileVar] = []
user_id: str
# extras
stream: bool
invoke_from: InvokeFrom
# extra parameters, like: auto_generate_conversation_name
extras: dict[str, Any] = {}
class EasyUIBasedAppGenerateEntity(AppGenerateEntity):
"""
Chat Application Generate Entity.
"""
# app config
app_config: EasyUIBasedAppConfig
model_config: ModelConfigWithCredentialsEntity
query: Optional[str] = None
class ChatAppGenerateEntity(EasyUIBasedAppGenerateEntity):
"""
Chat Application Generate Entity.
"""
conversation_id: Optional[str] = None
class CompletionAppGenerateEntity(EasyUIBasedAppGenerateEntity):
"""
Completion Application Generate Entity.
"""
pass
class AgentChatAppGenerateEntity(EasyUIBasedAppGenerateEntity):
"""
Agent Chat Application Generate Entity.
"""
conversation_id: Optional[str] = None
class AdvancedChatAppGenerateEntity(AppGenerateEntity):
"""
Advanced Chat Application Generate Entity.
"""
# app config
app_config: WorkflowUIBasedAppConfig
conversation_id: Optional[str] = None
query: Optional[str] = None
class WorkflowAppGenerateEntity(AppGenerateEntity):
"""
Workflow Application Generate Entity.
"""
# app config
app_config: WorkflowUIBasedAppConfig

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from enum import Enum
from typing import Any, Optional
from pydantic import BaseModel
from core.model_runtime.entities.llm_entities import LLMResult, LLMResultChunk
from core.workflow.entities.base_node_data_entities import BaseNodeData
from core.workflow.entities.node_entities import NodeType
class QueueEvent(Enum):
"""
QueueEvent enum
"""
LLM_CHUNK = "llm_chunk"
TEXT_CHUNK = "text_chunk"
AGENT_MESSAGE = "agent_message"
MESSAGE_REPLACE = "message_replace"
MESSAGE_END = "message_end"
ADVANCED_CHAT_MESSAGE_END = "advanced_chat_message_end"
WORKFLOW_STARTED = "workflow_started"
WORKFLOW_SUCCEEDED = "workflow_succeeded"
WORKFLOW_FAILED = "workflow_failed"
NODE_STARTED = "node_started"
NODE_SUCCEEDED = "node_succeeded"
NODE_FAILED = "node_failed"
RETRIEVER_RESOURCES = "retriever_resources"
ANNOTATION_REPLY = "annotation_reply"
AGENT_THOUGHT = "agent_thought"
MESSAGE_FILE = "message_file"
ERROR = "error"
PING = "ping"
STOP = "stop"
class AppQueueEvent(BaseModel):
"""
QueueEvent entity
"""
event: QueueEvent
class QueueLLMChunkEvent(AppQueueEvent):
"""
QueueLLMChunkEvent entity
"""
event = QueueEvent.LLM_CHUNK
chunk: LLMResultChunk
class QueueTextChunkEvent(AppQueueEvent):
"""
QueueTextChunkEvent entity
"""
event = QueueEvent.TEXT_CHUNK
text: str
metadata: Optional[dict] = None
class QueueAgentMessageEvent(AppQueueEvent):
"""
QueueMessageEvent entity
"""
event = QueueEvent.AGENT_MESSAGE
chunk: LLMResultChunk
class QueueMessageReplaceEvent(AppQueueEvent):
"""
QueueMessageReplaceEvent entity
"""
event = QueueEvent.MESSAGE_REPLACE
text: str
class QueueRetrieverResourcesEvent(AppQueueEvent):
"""
QueueRetrieverResourcesEvent entity
"""
event = QueueEvent.RETRIEVER_RESOURCES
retriever_resources: list[dict]
class QueueAnnotationReplyEvent(AppQueueEvent):
"""
QueueAnnotationReplyEvent entity
"""
event = QueueEvent.ANNOTATION_REPLY
message_annotation_id: str
class QueueMessageEndEvent(AppQueueEvent):
"""
QueueMessageEndEvent entity
"""
event = QueueEvent.MESSAGE_END
llm_result: Optional[LLMResult] = None
class QueueAdvancedChatMessageEndEvent(AppQueueEvent):
"""
QueueAdvancedChatMessageEndEvent entity
"""
event = QueueEvent.ADVANCED_CHAT_MESSAGE_END
class QueueWorkflowStartedEvent(AppQueueEvent):
"""
QueueWorkflowStartedEvent entity
"""
event = QueueEvent.WORKFLOW_STARTED
class QueueWorkflowSucceededEvent(AppQueueEvent):
"""
QueueWorkflowSucceededEvent entity
"""
event = QueueEvent.WORKFLOW_SUCCEEDED
class QueueWorkflowFailedEvent(AppQueueEvent):
"""
QueueWorkflowFailedEvent entity
"""
event = QueueEvent.WORKFLOW_FAILED
error: str
class QueueNodeStartedEvent(AppQueueEvent):
"""
QueueNodeStartedEvent entity
"""
event = QueueEvent.NODE_STARTED
node_id: str
node_type: NodeType
node_data: BaseNodeData
node_run_index: int = 1
predecessor_node_id: Optional[str] = None
class QueueNodeSucceededEvent(AppQueueEvent):
"""
QueueNodeSucceededEvent entity
"""
event = QueueEvent.NODE_SUCCEEDED
node_id: str
node_type: NodeType
node_data: BaseNodeData
inputs: Optional[dict] = None
process_data: Optional[dict] = None
outputs: Optional[dict] = None
execution_metadata: Optional[dict] = None
error: Optional[str] = None
class QueueNodeFailedEvent(AppQueueEvent):
"""
QueueNodeFailedEvent entity
"""
event = QueueEvent.NODE_FAILED
node_id: str
node_type: NodeType
node_data: BaseNodeData
inputs: Optional[dict] = None
outputs: Optional[dict] = None
process_data: Optional[dict] = None
error: str
class QueueAgentThoughtEvent(AppQueueEvent):
"""
QueueAgentThoughtEvent entity
"""
event = QueueEvent.AGENT_THOUGHT
agent_thought_id: str
class QueueMessageFileEvent(AppQueueEvent):
"""
QueueAgentThoughtEvent entity
"""
event = QueueEvent.MESSAGE_FILE
message_file_id: str
class QueueErrorEvent(AppQueueEvent):
"""
QueueErrorEvent entity
"""
event = QueueEvent.ERROR
error: Any
class QueuePingEvent(AppQueueEvent):
"""
QueuePingEvent entity
"""
event = QueueEvent.PING
class QueueStopEvent(AppQueueEvent):
"""
QueueStopEvent entity
"""
class StopBy(Enum):
"""
Stop by enum
"""
USER_MANUAL = "user-manual"
ANNOTATION_REPLY = "annotation-reply"
OUTPUT_MODERATION = "output-moderation"
INPUT_MODERATION = "input-moderation"
event = QueueEvent.STOP
stopped_by: StopBy
class QueueMessage(BaseModel):
"""
QueueMessage entity
"""
task_id: str
app_mode: str
event: AppQueueEvent
class MessageQueueMessage(QueueMessage):
"""
MessageQueueMessage entity
"""
message_id: str
conversation_id: str
class WorkflowQueueMessage(QueueMessage):
"""
WorkflowQueueMessage entity
"""
pass

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from enum import Enum
from typing import Optional
from pydantic import BaseModel
from core.model_runtime.entities.llm_entities import LLMResult, LLMUsage
from core.model_runtime.utils.encoders import jsonable_encoder
from core.workflow.entities.node_entities import NodeType
from core.workflow.nodes.answer.entities import GenerateRouteChunk
class StreamGenerateRoute(BaseModel):
"""
StreamGenerateRoute entity
"""
answer_node_id: str
generate_route: list[GenerateRouteChunk]
current_route_position: int = 0
class NodeExecutionInfo(BaseModel):
"""
NodeExecutionInfo entity
"""
workflow_node_execution_id: str
node_type: NodeType
start_at: float
class TaskState(BaseModel):
"""
TaskState entity
"""
metadata: dict = {}
class EasyUITaskState(TaskState):
"""
EasyUITaskState entity
"""
llm_result: LLMResult
class WorkflowTaskState(TaskState):
"""
WorkflowTaskState entity
"""
answer: str = ""
workflow_run_id: Optional[str] = None
start_at: Optional[float] = None
total_tokens: int = 0
total_steps: int = 0
ran_node_execution_infos: dict[str, NodeExecutionInfo] = {}
latest_node_execution_info: Optional[NodeExecutionInfo] = None
class AdvancedChatTaskState(WorkflowTaskState):
"""
AdvancedChatTaskState entity
"""
usage: LLMUsage
current_stream_generate_state: Optional[StreamGenerateRoute] = None
class StreamEvent(Enum):
"""
Stream event
"""
PING = "ping"
ERROR = "error"
MESSAGE = "message"
MESSAGE_END = "message_end"
MESSAGE_FILE = "message_file"
MESSAGE_REPLACE = "message_replace"
AGENT_THOUGHT = "agent_thought"
AGENT_MESSAGE = "agent_message"
WORKFLOW_STARTED = "workflow_started"
WORKFLOW_FINISHED = "workflow_finished"
NODE_STARTED = "node_started"
NODE_FINISHED = "node_finished"
TEXT_CHUNK = "text_chunk"
TEXT_REPLACE = "text_replace"
class StreamResponse(BaseModel):
"""
StreamResponse entity
"""
event: StreamEvent
task_id: str
def to_dict(self) -> dict:
return jsonable_encoder(self)
class ErrorStreamResponse(StreamResponse):
"""
ErrorStreamResponse entity
"""
event: StreamEvent = StreamEvent.ERROR
err: Exception
class Config:
arbitrary_types_allowed = True
class MessageStreamResponse(StreamResponse):
"""
MessageStreamResponse entity
"""
event: StreamEvent = StreamEvent.MESSAGE
id: str
answer: str
class MessageEndStreamResponse(StreamResponse):
"""
MessageEndStreamResponse entity
"""
event: StreamEvent = StreamEvent.MESSAGE_END
id: str
metadata: Optional[dict] = None
class MessageFileStreamResponse(StreamResponse):
"""
MessageFileStreamResponse entity
"""
event: StreamEvent = StreamEvent.MESSAGE_FILE
id: str
type: str
belongs_to: str
url: str
class MessageReplaceStreamResponse(StreamResponse):
"""
MessageReplaceStreamResponse entity
"""
event: StreamEvent = StreamEvent.MESSAGE_REPLACE
answer: str
class AgentThoughtStreamResponse(StreamResponse):
"""
AgentThoughtStreamResponse entity
"""
event: StreamEvent = StreamEvent.AGENT_THOUGHT
id: str
position: int
thought: Optional[str] = None
observation: Optional[str] = None
tool: Optional[str] = None
tool_labels: Optional[dict] = None
tool_input: Optional[str] = None
message_files: Optional[list[str]] = None
class AgentMessageStreamResponse(StreamResponse):
"""
AgentMessageStreamResponse entity
"""
event: StreamEvent = StreamEvent.AGENT_MESSAGE
id: str
answer: str
class WorkflowStartStreamResponse(StreamResponse):
"""
WorkflowStartStreamResponse entity
"""
class Data(BaseModel):
"""
Data entity
"""
id: str
workflow_id: str
sequence_number: int
inputs: dict
created_at: int
event: StreamEvent = StreamEvent.WORKFLOW_STARTED
workflow_run_id: str
data: Data
class WorkflowFinishStreamResponse(StreamResponse):
"""
WorkflowFinishStreamResponse entity
"""
class Data(BaseModel):
"""
Data entity
"""
id: str
workflow_id: str
sequence_number: int
status: str
outputs: Optional[dict] = None
error: Optional[str] = None
elapsed_time: float
total_tokens: int
total_steps: int
created_by: Optional[dict] = None
created_at: int
finished_at: int
files: Optional[list[dict]] = []
event: StreamEvent = StreamEvent.WORKFLOW_FINISHED
workflow_run_id: str
data: Data
class NodeStartStreamResponse(StreamResponse):
"""
NodeStartStreamResponse entity
"""
class Data(BaseModel):
"""
Data entity
"""
id: str
node_id: str
node_type: str
title: str
index: int
predecessor_node_id: Optional[str] = None
inputs: Optional[dict] = None
created_at: int
extras: dict = {}
event: StreamEvent = StreamEvent.NODE_STARTED
workflow_run_id: str
data: Data
class NodeFinishStreamResponse(StreamResponse):
"""
NodeFinishStreamResponse entity
"""
class Data(BaseModel):
"""
Data entity
"""
id: str
node_id: str
node_type: str
title: str
index: int
predecessor_node_id: Optional[str] = None
inputs: Optional[dict] = None
process_data: Optional[dict] = None
outputs: Optional[dict] = None
status: str
error: Optional[str] = None
elapsed_time: float
execution_metadata: Optional[dict] = None
created_at: int
finished_at: int
files: Optional[list[dict]] = []
event: StreamEvent = StreamEvent.NODE_FINISHED
workflow_run_id: str
data: Data
class TextChunkStreamResponse(StreamResponse):
"""
TextChunkStreamResponse entity
"""
class Data(BaseModel):
"""
Data entity
"""
text: str
event: StreamEvent = StreamEvent.TEXT_CHUNK
data: Data
class TextReplaceStreamResponse(StreamResponse):
"""
TextReplaceStreamResponse entity
"""
class Data(BaseModel):
"""
Data entity
"""
text: str
event: StreamEvent = StreamEvent.TEXT_REPLACE
data: Data
class PingStreamResponse(StreamResponse):
"""
PingStreamResponse entity
"""
event: StreamEvent = StreamEvent.PING
class AppStreamResponse(BaseModel):
"""
AppStreamResponse entity
"""
stream_response: StreamResponse
class ChatbotAppStreamResponse(AppStreamResponse):
"""
ChatbotAppStreamResponse entity
"""
conversation_id: str
message_id: str
created_at: int
class CompletionAppStreamResponse(AppStreamResponse):
"""
CompletionAppStreamResponse entity
"""
message_id: str
created_at: int
class WorkflowAppStreamResponse(AppStreamResponse):
"""
WorkflowAppStreamResponse entity
"""
workflow_run_id: str
class AppBlockingResponse(BaseModel):
"""
AppBlockingResponse entity
"""
task_id: str
def to_dict(self) -> dict:
return jsonable_encoder(self)
class ChatbotAppBlockingResponse(AppBlockingResponse):
"""
ChatbotAppBlockingResponse entity
"""
class Data(BaseModel):
"""
Data entity
"""
id: str
mode: str
conversation_id: str
message_id: str
answer: str
metadata: dict = {}
created_at: int
data: Data
class CompletionAppBlockingResponse(AppBlockingResponse):
"""
CompletionAppBlockingResponse entity
"""
class Data(BaseModel):
"""
Data entity
"""
id: str
mode: str
message_id: str
answer: str
metadata: dict = {}
created_at: int
data: Data
class WorkflowAppBlockingResponse(AppBlockingResponse):
"""
WorkflowAppBlockingResponse entity
"""
class Data(BaseModel):
"""
Data entity
"""
id: str
workflow_id: str
status: str
outputs: Optional[dict] = None
error: Optional[str] = None
elapsed_time: float
total_tokens: int
total_steps: int
created_at: int
finished_at: int
workflow_run_id: str
data: Data