mirror of https://github.com/langgenius/dify.git
add logging callback for workflow
This commit is contained in:
parent
2da7cc6928
commit
1c7573a686
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@ -1,4 +1,5 @@
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import logging
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import os
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import time
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from typing import Optional, cast
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@ -6,6 +7,7 @@ from core.app.apps.advanced_chat.app_config_manager import AdvancedChatAppConfig
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from core.app.apps.advanced_chat.workflow_event_trigger_callback import WorkflowEventTriggerCallback
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from core.app.apps.base_app_queue_manager import AppQueueManager, PublishFrom
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from core.app.apps.base_app_runner import AppRunner
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from core.app.apps.workflow_logging_callback import WorkflowLoggingCallback
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from core.app.entities.app_invoke_entities import (
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AdvancedChatAppGenerateEntity,
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InvokeFrom,
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@ -76,6 +78,14 @@ class AdvancedChatAppRunner(AppRunner):
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db.session.close()
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workflow_callbacks = [WorkflowEventTriggerCallback(
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queue_manager=queue_manager,
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workflow=workflow
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)]
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if bool(os.environ.get("DEBUG", 'False').lower() == 'true'):
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workflow_callbacks.append(WorkflowLoggingCallback())
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# RUN WORKFLOW
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workflow_engine_manager = WorkflowEngineManager()
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workflow_engine_manager.run_workflow(
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@ -90,10 +100,7 @@ class AdvancedChatAppRunner(AppRunner):
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SystemVariable.FILES: files,
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SystemVariable.CONVERSATION: conversation.id,
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},
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callbacks=[WorkflowEventTriggerCallback(
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queue_manager=queue_manager,
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workflow=workflow
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)]
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callbacks=workflow_callbacks
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)
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def get_workflow(self, app_model: App, workflow_id: str) -> Optional[Workflow]:
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@ -1,9 +1,11 @@
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import logging
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import os
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from typing import Optional, cast
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from core.app.apps.base_app_queue_manager import AppQueueManager
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from core.app.apps.workflow.app_config_manager import WorkflowAppConfig
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from core.app.apps.workflow.workflow_event_trigger_callback import WorkflowEventTriggerCallback
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from core.app.apps.workflow_logging_callback import WorkflowLoggingCallback
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from core.app.entities.app_invoke_entities import (
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InvokeFrom,
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WorkflowAppGenerateEntity,
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@ -47,6 +49,14 @@ class WorkflowAppRunner:
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db.session.close()
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workflow_callbacks = [WorkflowEventTriggerCallback(
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queue_manager=queue_manager,
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workflow=workflow
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)]
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if bool(os.environ.get("DEBUG", 'False').lower() == 'true'):
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workflow_callbacks.append(WorkflowLoggingCallback())
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# RUN WORKFLOW
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workflow_engine_manager = WorkflowEngineManager()
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workflow_engine_manager.run_workflow(
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@ -59,10 +69,7 @@ class WorkflowAppRunner:
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system_inputs={
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SystemVariable.FILES: files
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},
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callbacks=[WorkflowEventTriggerCallback(
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queue_manager=queue_manager,
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workflow=workflow
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)]
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callbacks=workflow_callbacks
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)
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def get_workflow(self, app_model: App, workflow_id: str) -> Optional[Workflow]:
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@ -0,0 +1,122 @@
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from typing import Optional
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from core.app.entities.queue_entities import AppQueueEvent
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from core.model_runtime.utils.encoders import jsonable_encoder
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from core.workflow.callbacks.base_workflow_callback import BaseWorkflowCallback
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from core.workflow.entities.base_node_data_entities import BaseNodeData
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from core.workflow.entities.node_entities import NodeType
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_TEXT_COLOR_MAPPING = {
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"blue": "36;1",
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"yellow": "33;1",
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"pink": "38;5;200",
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"green": "32;1",
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"red": "31;1",
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}
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class WorkflowLoggingCallback(BaseWorkflowCallback):
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def __init__(self) -> None:
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self.current_node_id = None
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def on_workflow_run_started(self) -> None:
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"""
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Workflow run started
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"""
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self.print_text("\n[on_workflow_run_started]", color='pink')
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def on_workflow_run_succeeded(self) -> None:
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"""
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Workflow run succeeded
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"""
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self.print_text("\n[on_workflow_run_succeeded]", color='green')
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def on_workflow_run_failed(self, error: str) -> None:
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"""
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Workflow run failed
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"""
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self.print_text("\n[on_workflow_run_failed]", color='red')
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def on_workflow_node_execute_started(self, node_id: str,
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node_type: NodeType,
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node_data: BaseNodeData,
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node_run_index: int = 1,
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predecessor_node_id: Optional[str] = None) -> None:
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"""
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Workflow node execute started
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"""
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self.print_text("\n[on_workflow_node_execute_started]", color='yellow')
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self.print_text(f"Node ID: {node_id}", color='yellow')
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self.print_text(f"Type: {node_type.value}", color='yellow')
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self.print_text(f"Index: {node_run_index}", color='yellow')
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if predecessor_node_id:
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self.print_text(f"Predecessor Node ID: {predecessor_node_id}", color='yellow')
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def on_workflow_node_execute_succeeded(self, node_id: str,
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node_type: NodeType,
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node_data: BaseNodeData,
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inputs: Optional[dict] = None,
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process_data: Optional[dict] = None,
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outputs: Optional[dict] = None,
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execution_metadata: Optional[dict] = None) -> None:
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"""
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Workflow node execute succeeded
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"""
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self.print_text("\n[on_workflow_node_execute_succeeded]", color='green')
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self.print_text(f"Node ID: {node_id}", color='green')
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self.print_text(f"Type: {node_type.value}", color='green')
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self.print_text(f"Inputs: {jsonable_encoder(inputs) if inputs else ''}", color='green')
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self.print_text(f"Process Data: {jsonable_encoder(process_data) if process_data else ''}", color='green')
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self.print_text(f"Outputs: {jsonable_encoder(outputs) if outputs else ''}", color='green')
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self.print_text(f"Metadata: {jsonable_encoder(execution_metadata) if execution_metadata else ''}",
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color='green')
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def on_workflow_node_execute_failed(self, node_id: str,
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node_type: NodeType,
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node_data: BaseNodeData,
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error: str,
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inputs: Optional[dict] = None,
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outputs: Optional[dict] = None,
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process_data: Optional[dict] = None) -> None:
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"""
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Workflow node execute failed
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"""
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self.print_text("\n[on_workflow_node_execute_failed]", color='red')
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self.print_text(f"Node ID: {node_id}", color='red')
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self.print_text(f"Type: {node_type.value}", color='red')
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self.print_text(f"Error: {error}", color='red')
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self.print_text(f"Inputs: {jsonable_encoder(inputs) if inputs else ''}", color='red')
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self.print_text(f"Process Data: {jsonable_encoder(process_data) if process_data else ''}", color='red')
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self.print_text(f"Outputs: {jsonable_encoder(outputs) if outputs else ''}", color='red')
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def on_node_text_chunk(self, node_id: str, text: str, metadata: Optional[dict] = None) -> None:
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"""
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Publish text chunk
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"""
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if not self.current_node_id or self.current_node_id != node_id:
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self.current_node_id = node_id
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self.print_text('\n[on_node_text_chunk]')
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self.print_text(f"Node ID: {node_id}")
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self.print_text(f"Metadata: {jsonable_encoder(metadata) if metadata else ''}")
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self.print_text(text, color="pink", end="")
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def on_event(self, event: AppQueueEvent) -> None:
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"""
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Publish event
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"""
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self.print_text("\n[on_workflow_event]", color='blue')
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self.print_text(f"Event: {jsonable_encoder(event)}", color='blue')
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def print_text(
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self, text: str, color: Optional[str] = None, end: str = "\n"
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) -> None:
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"""Print text with highlighting and no end characters."""
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text_to_print = self._get_colored_text(text, color) if color else text
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print(f'{text_to_print}', end=end)
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def _get_colored_text(self, text: str, color: str) -> str:
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"""Get colored text."""
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color_str = _TEXT_COLOR_MAPPING[color]
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return f"\u001b[{color_str}m\033[1;3m{text}\u001b[0m"
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@ -63,7 +63,7 @@ class LargeLanguageModel(AIModel):
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callbacks = callbacks or []
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if bool(os.environ.get("DEBUG")):
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if bool(os.environ.get("DEBUG", 'False').lower() == 'true'):
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callbacks.append(LoggingCallback())
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# trigger before invoke callbacks
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