add logging callback for workflow

This commit is contained in:
takatost 2024-03-19 04:37:29 +08:00
parent 2da7cc6928
commit 1c7573a686
4 changed files with 145 additions and 9 deletions

View File

@ -1,4 +1,5 @@
import logging
import os
import time
from typing import Optional, cast
@ -6,6 +7,7 @@ from core.app.apps.advanced_chat.app_config_manager import AdvancedChatAppConfig
from core.app.apps.advanced_chat.workflow_event_trigger_callback import WorkflowEventTriggerCallback
from core.app.apps.base_app_queue_manager import AppQueueManager, PublishFrom
from core.app.apps.base_app_runner import AppRunner
from core.app.apps.workflow_logging_callback import WorkflowLoggingCallback
from core.app.entities.app_invoke_entities import (
AdvancedChatAppGenerateEntity,
InvokeFrom,
@ -76,6 +78,14 @@ class AdvancedChatAppRunner(AppRunner):
db.session.close()
workflow_callbacks = [WorkflowEventTriggerCallback(
queue_manager=queue_manager,
workflow=workflow
)]
if bool(os.environ.get("DEBUG", 'False').lower() == 'true'):
workflow_callbacks.append(WorkflowLoggingCallback())
# RUN WORKFLOW
workflow_engine_manager = WorkflowEngineManager()
workflow_engine_manager.run_workflow(
@ -90,10 +100,7 @@ class AdvancedChatAppRunner(AppRunner):
SystemVariable.FILES: files,
SystemVariable.CONVERSATION: conversation.id,
},
callbacks=[WorkflowEventTriggerCallback(
queue_manager=queue_manager,
workflow=workflow
)]
callbacks=workflow_callbacks
)
def get_workflow(self, app_model: App, workflow_id: str) -> Optional[Workflow]:

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@ -1,9 +1,11 @@
import logging
import os
from typing import Optional, cast
from core.app.apps.base_app_queue_manager import AppQueueManager
from core.app.apps.workflow.app_config_manager import WorkflowAppConfig
from core.app.apps.workflow.workflow_event_trigger_callback import WorkflowEventTriggerCallback
from core.app.apps.workflow_logging_callback import WorkflowLoggingCallback
from core.app.entities.app_invoke_entities import (
InvokeFrom,
WorkflowAppGenerateEntity,
@ -47,6 +49,14 @@ class WorkflowAppRunner:
db.session.close()
workflow_callbacks = [WorkflowEventTriggerCallback(
queue_manager=queue_manager,
workflow=workflow
)]
if bool(os.environ.get("DEBUG", 'False').lower() == 'true'):
workflow_callbacks.append(WorkflowLoggingCallback())
# RUN WORKFLOW
workflow_engine_manager = WorkflowEngineManager()
workflow_engine_manager.run_workflow(
@ -59,10 +69,7 @@ class WorkflowAppRunner:
system_inputs={
SystemVariable.FILES: files
},
callbacks=[WorkflowEventTriggerCallback(
queue_manager=queue_manager,
workflow=workflow
)]
callbacks=workflow_callbacks
)
def get_workflow(self, app_model: App, workflow_id: str) -> Optional[Workflow]:

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@ -0,0 +1,122 @@
from typing import Optional
from core.app.entities.queue_entities import AppQueueEvent
from core.model_runtime.utils.encoders import jsonable_encoder
from core.workflow.callbacks.base_workflow_callback import BaseWorkflowCallback
from core.workflow.entities.base_node_data_entities import BaseNodeData
from core.workflow.entities.node_entities import NodeType
_TEXT_COLOR_MAPPING = {
"blue": "36;1",
"yellow": "33;1",
"pink": "38;5;200",
"green": "32;1",
"red": "31;1",
}
class WorkflowLoggingCallback(BaseWorkflowCallback):
def __init__(self) -> None:
self.current_node_id = None
def on_workflow_run_started(self) -> None:
"""
Workflow run started
"""
self.print_text("\n[on_workflow_run_started]", color='pink')
def on_workflow_run_succeeded(self) -> None:
"""
Workflow run succeeded
"""
self.print_text("\n[on_workflow_run_succeeded]", color='green')
def on_workflow_run_failed(self, error: str) -> None:
"""
Workflow run failed
"""
self.print_text("\n[on_workflow_run_failed]", color='red')
def on_workflow_node_execute_started(self, node_id: str,
node_type: NodeType,
node_data: BaseNodeData,
node_run_index: int = 1,
predecessor_node_id: Optional[str] = None) -> None:
"""
Workflow node execute started
"""
self.print_text("\n[on_workflow_node_execute_started]", color='yellow')
self.print_text(f"Node ID: {node_id}", color='yellow')
self.print_text(f"Type: {node_type.value}", color='yellow')
self.print_text(f"Index: {node_run_index}", color='yellow')
if predecessor_node_id:
self.print_text(f"Predecessor Node ID: {predecessor_node_id}", color='yellow')
def on_workflow_node_execute_succeeded(self, 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) -> None:
"""
Workflow node execute succeeded
"""
self.print_text("\n[on_workflow_node_execute_succeeded]", color='green')
self.print_text(f"Node ID: {node_id}", color='green')
self.print_text(f"Type: {node_type.value}", color='green')
self.print_text(f"Inputs: {jsonable_encoder(inputs) if inputs else ''}", color='green')
self.print_text(f"Process Data: {jsonable_encoder(process_data) if process_data else ''}", color='green')
self.print_text(f"Outputs: {jsonable_encoder(outputs) if outputs else ''}", color='green')
self.print_text(f"Metadata: {jsonable_encoder(execution_metadata) if execution_metadata else ''}",
color='green')
def on_workflow_node_execute_failed(self, node_id: str,
node_type: NodeType,
node_data: BaseNodeData,
error: str,
inputs: Optional[dict] = None,
outputs: Optional[dict] = None,
process_data: Optional[dict] = None) -> None:
"""
Workflow node execute failed
"""
self.print_text("\n[on_workflow_node_execute_failed]", color='red')
self.print_text(f"Node ID: {node_id}", color='red')
self.print_text(f"Type: {node_type.value}", color='red')
self.print_text(f"Error: {error}", color='red')
self.print_text(f"Inputs: {jsonable_encoder(inputs) if inputs else ''}", color='red')
self.print_text(f"Process Data: {jsonable_encoder(process_data) if process_data else ''}", color='red')
self.print_text(f"Outputs: {jsonable_encoder(outputs) if outputs else ''}", color='red')
def on_node_text_chunk(self, node_id: str, text: str, metadata: Optional[dict] = None) -> None:
"""
Publish text chunk
"""
if not self.current_node_id or self.current_node_id != node_id:
self.current_node_id = node_id
self.print_text('\n[on_node_text_chunk]')
self.print_text(f"Node ID: {node_id}")
self.print_text(f"Metadata: {jsonable_encoder(metadata) if metadata else ''}")
self.print_text(text, color="pink", end="")
def on_event(self, event: AppQueueEvent) -> None:
"""
Publish event
"""
self.print_text("\n[on_workflow_event]", color='blue')
self.print_text(f"Event: {jsonable_encoder(event)}", color='blue')
def print_text(
self, text: str, color: Optional[str] = None, end: str = "\n"
) -> None:
"""Print text with highlighting and no end characters."""
text_to_print = self._get_colored_text(text, color) if color else text
print(f'{text_to_print}', end=end)
def _get_colored_text(self, text: str, color: str) -> str:
"""Get colored text."""
color_str = _TEXT_COLOR_MAPPING[color]
return f"\u001b[{color_str}m\033[1;3m{text}\u001b[0m"

View File

@ -63,7 +63,7 @@ class LargeLanguageModel(AIModel):
callbacks = callbacks or []
if bool(os.environ.get("DEBUG")):
if bool(os.environ.get("DEBUG", 'False').lower() == 'true'):
callbacks.append(LoggingCallback())
# trigger before invoke callbacks