Commit fcd470fc authored by takatost's avatar takatost

add answer output parse

parent fd8fe15d
......@@ -5,7 +5,6 @@ from core.app.entities.queue_entities import (
QueueNodeFailedEvent,
QueueNodeStartedEvent,
QueueNodeSucceededEvent,
QueueTextChunkEvent,
QueueWorkflowFailedEvent,
QueueWorkflowStartedEvent,
QueueWorkflowSucceededEvent,
......@@ -20,7 +19,6 @@ class WorkflowEventTriggerCallback(BaseWorkflowCallback):
def __init__(self, queue_manager: AppQueueManager, workflow: Workflow):
self._queue_manager = queue_manager
self._streamable_node_ids = self._fetch_streamable_node_ids(workflow.graph_dict)
def on_workflow_run_started(self) -> None:
"""
......@@ -118,31 +116,4 @@ class WorkflowEventTriggerCallback(BaseWorkflowCallback):
"""
Publish text chunk
"""
if node_id in self._streamable_node_ids:
self._queue_manager.publish(
QueueTextChunkEvent(
text=text
), PublishFrom.APPLICATION_MANAGER
)
def _fetch_streamable_node_ids(self, graph: dict) -> list[str]:
"""
Fetch streamable node ids
When the Workflow type is chat, only the nodes before END Node are LLM or Direct Answer can be streamed output
When the Workflow type is workflow, only the nodes before END Node (only Plain Text mode) are LLM can be streamed output
:param graph: workflow graph
:return:
"""
streamable_node_ids = []
end_node_ids = []
for node_config in graph.get('nodes'):
if node_config.get('data', {}).get('type') == NodeType.END.value:
if node_config.get('data', {}).get('outputs', {}).get('type', '') == 'plain-text':
end_node_ids.append(node_config.get('id'))
for edge_config in graph.get('edges'):
if edge_config.get('target') in end_node_ids:
streamable_node_ids.append(edge_config.get('source'))
return streamable_node_ids
pass
import time
from typing import cast
from core.prompt.utils.prompt_template_parser import PromptTemplateParser
......@@ -32,14 +31,49 @@ class AnswerNode(BaseNode):
variable_values[variable_selector.variable] = value
variable_keys = list(variable_values.keys())
# format answer template
template_parser = PromptTemplateParser(node_data.answer)
answer = template_parser.format(variable_values)
template_variable_keys = template_parser.variable_keys
# Take the intersection of variable_keys and template_variable_keys
variable_keys = list(set(variable_keys) & set(template_variable_keys))
template = node_data.answer
for var in variable_keys:
template = template.replace(f'{{{{{var}}}}}', f'Ω{{{{{var}}}}}Ω')
split_template = [
{
"type": "var" if self._is_variable(part, variable_keys) else "text",
"value": part.replace('Ω', '') if self._is_variable(part, variable_keys) else part
}
for part in template.split('Ω') if part
]
# publish answer as stream
for word in answer:
self.publish_text_chunk(word)
time.sleep(10) # TODO for debug
answer = []
for part in split_template:
if part["type"] == "var":
value = variable_values.get(part["value"].replace('{{', '').replace('}}', ''))
answer_part = {
"type": "text",
"text": value
}
# TODO File
else:
answer_part = {
"type": "text",
"text": part["value"]
}
if len(answer) > 0 and answer[-1]["type"] == "text" and answer_part["type"] == "text":
answer[-1]["text"] += answer_part["text"]
else:
answer.append(answer_part)
if len(answer) == 1 and answer[0]["type"] == "text":
answer = answer[0]["text"]
return NodeRunResult(
status=WorkflowNodeExecutionStatus.SUCCEEDED,
......@@ -49,6 +83,10 @@ class AnswerNode(BaseNode):
}
)
def _is_variable(self, part, variable_keys):
cleaned_part = part.replace('{{', '').replace('}}', '')
return part.startswith('{{') and cleaned_part in variable_keys
@classmethod
def _extract_variable_selector_to_variable_mapping(cls, node_data: BaseNodeData) -> dict[str, list[str]]:
"""
......
......@@ -6,7 +6,6 @@ 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 NodeRunResult, NodeType
from core.workflow.entities.variable_pool import VariablePool
from models.workflow import WorkflowNodeExecutionStatus
class UserFrom(Enum):
......@@ -80,16 +79,9 @@ class BaseNode(ABC):
:param variable_pool: variable pool
:return:
"""
try:
result = self._run(
variable_pool=variable_pool
)
except Exception as e:
# process unhandled exception
result = NodeRunResult(
status=WorkflowNodeExecutionStatus.FAILED,
error=str(e)
)
self.node_run_result = result
return result
......
......@@ -2,9 +2,9 @@ from typing import cast
from core.workflow.entities.base_node_data_entities import BaseNodeData
from core.workflow.entities.node_entities import NodeRunResult, NodeType
from core.workflow.entities.variable_pool import ValueType, VariablePool
from core.workflow.entities.variable_pool import VariablePool
from core.workflow.nodes.base_node import BaseNode
from core.workflow.nodes.end.entities import EndNodeData, EndNodeDataOutputs
from core.workflow.nodes.end.entities import EndNodeData
from models.workflow import WorkflowNodeExecutionStatus
......@@ -20,34 +20,14 @@ class EndNode(BaseNode):
"""
node_data = self.node_data
node_data = cast(self._node_data_cls, node_data)
outputs_config = node_data.outputs
output_variables = node_data.outputs
outputs = None
if outputs_config:
if outputs_config.type == EndNodeDataOutputs.OutputType.PLAIN_TEXT:
plain_text_selector = outputs_config.plain_text_selector
if plain_text_selector:
outputs = {
'text': variable_pool.get_variable_value(
variable_selector=plain_text_selector,
target_value_type=ValueType.STRING
)
}
else:
outputs = {
'text': ''
}
elif outputs_config.type == EndNodeDataOutputs.OutputType.STRUCTURED:
structured_variables = outputs_config.structured_variables
if structured_variables:
outputs = {}
for variable_selector in structured_variables:
for variable_selector in output_variables:
variable_value = variable_pool.get_variable_value(
variable_selector=variable_selector.value_selector
)
outputs[variable_selector.variable] = variable_value
else:
outputs = {}
return NodeRunResult(
status=WorkflowNodeExecutionStatus.SUCCEEDED,
......
from enum import Enum
from typing import Optional
from pydantic import BaseModel
from core.workflow.entities.base_node_data_entities import BaseNodeData
from core.workflow.entities.variable_entities import VariableSelector
class EndNodeOutputType(Enum):
"""
END Node Output Types.
none, plain-text, structured
"""
NONE = 'none'
PLAIN_TEXT = 'plain-text'
STRUCTURED = 'structured'
@classmethod
def value_of(cls, value: str) -> 'OutputType':
"""
Get value of given output type.
:param value: output type value
:return: output type
"""
for output_type in cls:
if output_type.value == value:
return output_type
raise ValueError(f'invalid output type value {value}')
class EndNodeDataOutputs(BaseModel):
"""
END Node Data Outputs.
"""
class OutputType(Enum):
"""
Output Types.
"""
NONE = 'none'
PLAIN_TEXT = 'plain-text'
STRUCTURED = 'structured'
@classmethod
def value_of(cls, value: str) -> 'OutputType':
"""
Get value of given output type.
:param value: output type value
:return: output type
"""
for output_type in cls:
if output_type.value == value:
return output_type
raise ValueError(f'invalid output type value {value}')
type: OutputType = OutputType.NONE
plain_text_selector: Optional[list[str]] = None
structured_variables: Optional[list[VariableSelector]] = None
class EndNodeData(BaseNodeData):
"""
END Node Data.
"""
outputs: Optional[EndNodeDataOutputs] = None
outputs: list[VariableSelector]
import logging
import time
from typing import Optional
......@@ -41,6 +42,8 @@ node_classes = {
NodeType.VARIABLE_ASSIGNER: VariableAssignerNode,
}
logger = logging.getLogger(__name__)
class WorkflowEngineManager:
def get_default_configs(self) -> list[dict]:
......@@ -407,6 +410,7 @@ class WorkflowEngineManager:
variable_pool=workflow_run_state.variable_pool
)
except Exception as e:
logger.exception(f"Node {node.node_data.title} run failed: {str(e)}")
node_run_result = NodeRunResult(
status=WorkflowNodeExecutionStatus.FAILED,
error=str(e)
......
......@@ -531,10 +531,10 @@ class WorkflowConverter:
"data": {
"title": "END",
"type": NodeType.END.value,
"outputs": {
"outputs": [{
"variable": "result",
"value_selector": ["llm", "text"]
}
}]
}
}
......
from unittest.mock import MagicMock
from core.workflow.entities.node_entities import SystemVariable
from core.workflow.entities.variable_pool import VariablePool
from core.workflow.nodes.answer.answer_node import AnswerNode
from core.workflow.nodes.base_node import UserFrom
from core.workflow.nodes.if_else.if_else_node import IfElseNode
from extensions.ext_database import db
from models.workflow import WorkflowNodeExecutionStatus
def test_execute_answer():
node = AnswerNode(
tenant_id='1',
app_id='1',
workflow_id='1',
user_id='1',
user_from=UserFrom.ACCOUNT,
config={
'id': 'answer',
'data': {
'title': '123',
'type': 'answer',
'variables': [
{
'value_selector': ['llm', 'text'],
'variable': 'text'
},
{
'value_selector': ['start', 'weather'],
'variable': 'weather'
},
],
'answer': 'Today\'s weather is {{weather}}\n{{text}}\n{{img}}\nFin.'
}
}
)
# construct variable pool
pool = VariablePool(system_variables={
SystemVariable.FILES: [],
}, user_inputs={})
pool.append_variable(node_id='start', variable_key_list=['weather'], value='sunny')
pool.append_variable(node_id='llm', variable_key_list=['text'], value='You are a helpful AI.')
# Mock db.session.close()
db.session.close = MagicMock()
# execute node
result = node._run(pool)
assert result.status == WorkflowNodeExecutionStatus.SUCCEEDED
assert result.outputs['answer'] == "Today's weather is sunny\nYou are a helpful AI.\n{{img}}\nFin."
# TODO test files
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