feat: Human Input Node (#32060)

The frontend and backend implementation for the human input node.

Co-authored-by: twwu <twwu@dify.ai>
Co-authored-by: JzoNg <jzongcode@gmail.com>
Co-authored-by: yyh <92089059+lyzno1@users.noreply.github.com>
Co-authored-by: zhsama <torvalds@linux.do>
This commit is contained in:
QuantumGhost
2026-02-09 14:57:23 +08:00
committed by GitHub
parent 56e3a55023
commit a1fc280102
474 changed files with 32667 additions and 2050 deletions

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@ -18,6 +18,8 @@ from core.workflow.graph_events import (
GraphNodeEventBase,
NodeRunAgentLogEvent,
NodeRunFailedEvent,
NodeRunHumanInputFormFilledEvent,
NodeRunHumanInputFormTimeoutEvent,
NodeRunIterationFailedEvent,
NodeRunIterationNextEvent,
NodeRunIterationStartedEvent,
@ -34,6 +36,8 @@ from core.workflow.graph_events import (
)
from core.workflow.node_events import (
AgentLogEvent,
HumanInputFormFilledEvent,
HumanInputFormTimeoutEvent,
IterationFailedEvent,
IterationNextEvent,
IterationStartedEvent,
@ -61,6 +65,15 @@ logger = logging.getLogger(__name__)
class Node(Generic[NodeDataT]):
"""BaseNode serves as the foundational class for all node implementations.
Nodes are allowed to maintain transient states (e.g., `LLMNode` uses the `_file_output`
attribute to track files generated by the LLM). However, these states are not persisted
when the workflow is suspended or resumed. If a node needs its state to be preserved
across workflow suspension and resumption, it should include the relevant state data
in its output.
"""
node_type: ClassVar[NodeType]
execution_type: NodeExecutionType = NodeExecutionType.EXECUTABLE
_node_data_type: ClassVar[type[BaseNodeData]] = BaseNodeData
@ -251,10 +264,33 @@ class Node(Generic[NodeDataT]):
return self._node_execution_id
def ensure_execution_id(self) -> str:
if not self._node_execution_id:
self._node_execution_id = str(uuid4())
if self._node_execution_id:
return self._node_execution_id
resumed_execution_id = self._restore_execution_id_from_runtime_state()
if resumed_execution_id:
self._node_execution_id = resumed_execution_id
return self._node_execution_id
self._node_execution_id = str(uuid4())
return self._node_execution_id
def _restore_execution_id_from_runtime_state(self) -> str | None:
graph_execution = self.graph_runtime_state.graph_execution
try:
node_executions = graph_execution.node_executions
except AttributeError:
return None
if not isinstance(node_executions, dict):
return None
node_execution = node_executions.get(self._node_id)
if node_execution is None:
return None
execution_id = node_execution.execution_id
if not execution_id:
return None
return str(execution_id)
def _hydrate_node_data(self, data: Mapping[str, Any]) -> NodeDataT:
return cast(NodeDataT, self._node_data_type.model_validate(data))
@ -620,6 +656,28 @@ class Node(Generic[NodeDataT]):
metadata=event.metadata,
)
@_dispatch.register
def _(self, event: HumanInputFormFilledEvent):
return NodeRunHumanInputFormFilledEvent(
id=self.execution_id,
node_id=self._node_id,
node_type=self.node_type,
node_title=event.node_title,
rendered_content=event.rendered_content,
action_id=event.action_id,
action_text=event.action_text,
)
@_dispatch.register
def _(self, event: HumanInputFormTimeoutEvent):
return NodeRunHumanInputFormTimeoutEvent(
id=self.execution_id,
node_id=self._node_id,
node_type=self.node_type,
node_title=event.node_title,
expiration_time=event.expiration_time,
)
@_dispatch.register
def _(self, event: LoopStartedEvent) -> NodeRunLoopStartedEvent:
return NodeRunLoopStartedEvent(

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@ -1,3 +1,3 @@
from .human_input_node import HumanInputNode
__all__ = ["HumanInputNode"]
"""
Human Input node implementation.
"""

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@ -1,10 +1,350 @@
from pydantic import Field
"""
Human Input node entities.
"""
import re
import uuid
from collections.abc import Mapping, Sequence
from datetime import datetime, timedelta
from typing import Annotated, Any, ClassVar, Literal, Self
from pydantic import BaseModel, Field, field_validator, model_validator
from core.variables.consts import SELECTORS_LENGTH
from core.workflow.nodes.base import BaseNodeData
from core.workflow.nodes.base.variable_template_parser import VariableTemplateParser
from core.workflow.runtime import VariablePool
from .enums import ButtonStyle, DeliveryMethodType, EmailRecipientType, FormInputType, PlaceholderType, TimeoutUnit
_OUTPUT_VARIABLE_PATTERN = re.compile(r"\{\{#\$output\.(?P<field_name>[a-zA-Z_][a-zA-Z0-9_]{0,29})#\}\}")
class _WebAppDeliveryConfig(BaseModel):
"""Configuration for webapp delivery method."""
pass # Empty for webapp delivery
class MemberRecipient(BaseModel):
"""Member recipient for email delivery."""
type: Literal[EmailRecipientType.MEMBER] = EmailRecipientType.MEMBER
user_id: str
class ExternalRecipient(BaseModel):
"""External recipient for email delivery."""
type: Literal[EmailRecipientType.EXTERNAL] = EmailRecipientType.EXTERNAL
email: str
EmailRecipient = Annotated[MemberRecipient | ExternalRecipient, Field(discriminator="type")]
class EmailRecipients(BaseModel):
"""Email recipients configuration."""
# When true, recipients are the union of all workspace members and external items.
# Member items are ignored because they are already covered by the workspace scope.
# De-duplication is applied by email, with member recipients taking precedence.
whole_workspace: bool = False
items: list[EmailRecipient] = Field(default_factory=list)
class EmailDeliveryConfig(BaseModel):
"""Configuration for email delivery method."""
URL_PLACEHOLDER: ClassVar[str] = "{{#url#}}"
recipients: EmailRecipients
# the subject of email
subject: str
# Body is the content of email.It may contain the speical placeholder `{{#url#}}`, which
# represent the url to submit the form.
#
# It may also reference the output variable of the previous node with the syntax
# `{{#<node_id>.<field_name>#}}`.
body: str
debug_mode: bool = False
def with_debug_recipient(self, user_id: str) -> "EmailDeliveryConfig":
if not user_id:
debug_recipients = EmailRecipients(whole_workspace=False, items=[])
return self.model_copy(update={"recipients": debug_recipients})
debug_recipients = EmailRecipients(whole_workspace=False, items=[MemberRecipient(user_id=user_id)])
return self.model_copy(update={"recipients": debug_recipients})
@classmethod
def replace_url_placeholder(cls, body: str, url: str | None) -> str:
"""Replace the url placeholder with provided value."""
return body.replace(cls.URL_PLACEHOLDER, url or "")
@classmethod
def render_body_template(
cls,
*,
body: str,
url: str | None,
variable_pool: VariablePool | None = None,
) -> str:
"""Render email body by replacing placeholders with runtime values."""
templated_body = cls.replace_url_placeholder(body, url)
if variable_pool is None:
return templated_body
return variable_pool.convert_template(templated_body).text
class _DeliveryMethodBase(BaseModel):
"""Base delivery method configuration."""
enabled: bool = True
id: uuid.UUID = Field(default_factory=uuid.uuid4)
def extract_variable_selectors(self) -> Sequence[Sequence[str]]:
return ()
class WebAppDeliveryMethod(_DeliveryMethodBase):
"""Webapp delivery method configuration."""
type: Literal[DeliveryMethodType.WEBAPP] = DeliveryMethodType.WEBAPP
# The config field is not used currently.
config: _WebAppDeliveryConfig = Field(default_factory=_WebAppDeliveryConfig)
class EmailDeliveryMethod(_DeliveryMethodBase):
"""Email delivery method configuration."""
type: Literal[DeliveryMethodType.EMAIL] = DeliveryMethodType.EMAIL
config: EmailDeliveryConfig
def extract_variable_selectors(self) -> Sequence[Sequence[str]]:
variable_template_parser = VariableTemplateParser(template=self.config.body)
selectors: list[Sequence[str]] = []
for variable_selector in variable_template_parser.extract_variable_selectors():
value_selector = list(variable_selector.value_selector)
if len(value_selector) < SELECTORS_LENGTH:
continue
selectors.append(value_selector[:SELECTORS_LENGTH])
return selectors
DeliveryChannelConfig = Annotated[WebAppDeliveryMethod | EmailDeliveryMethod, Field(discriminator="type")]
def apply_debug_email_recipient(
method: DeliveryChannelConfig,
*,
enabled: bool,
user_id: str,
) -> DeliveryChannelConfig:
if not enabled:
return method
if not isinstance(method, EmailDeliveryMethod):
return method
if not method.config.debug_mode:
return method
debug_config = method.config.with_debug_recipient(user_id or "")
return method.model_copy(update={"config": debug_config})
class FormInputDefault(BaseModel):
"""Default configuration for form inputs."""
# NOTE: Ideally, a discriminated union would be used to model
# FormInputDefault. However, the UI requires preserving the previous
# value when switching between `VARIABLE` and `CONSTANT` types. This
# necessitates retaining all fields, making a discriminated union unsuitable.
type: PlaceholderType
# The selector of default variable, used when `type` is `VARIABLE`.
selector: Sequence[str] = Field(default_factory=tuple) #
# The value of the default, used when `type` is `CONSTANT`.
# TODO: How should we express JSON values?
value: str = ""
@model_validator(mode="after")
def _validate_selector(self) -> Self:
if self.type == PlaceholderType.CONSTANT:
return self
if len(self.selector) < SELECTORS_LENGTH:
raise ValueError(f"the length of selector should be at least {SELECTORS_LENGTH}, selector={self.selector}")
return self
class FormInput(BaseModel):
"""Form input definition."""
type: FormInputType
output_variable_name: str
default: FormInputDefault | None = None
_IDENTIFIER_PATTERN = re.compile(r"^[A-Za-z_][A-Za-z0-9_]*$")
class UserAction(BaseModel):
"""User action configuration."""
# id is the identifier for this action.
# It also serves as the identifiers of output handle.
#
# The id must be a valid identifier (satisfy the _IDENTIFIER_PATTERN above.)
id: str = Field(max_length=20)
title: str = Field(max_length=20)
button_style: ButtonStyle = ButtonStyle.DEFAULT
@field_validator("id")
@classmethod
def _validate_id(cls, value: str) -> str:
if not _IDENTIFIER_PATTERN.match(value):
raise ValueError(
f"'{value}' is not a valid identifier. It must start with a letter or underscore, "
f"and contain only letters, numbers, or underscores."
)
return value
class HumanInputNodeData(BaseNodeData):
"""Configuration schema for the HumanInput node."""
"""Human Input node data."""
required_variables: list[str] = Field(default_factory=list)
pause_reason: str | None = Field(default=None)
delivery_methods: list[DeliveryChannelConfig] = Field(default_factory=list)
form_content: str = ""
inputs: list[FormInput] = Field(default_factory=list)
user_actions: list[UserAction] = Field(default_factory=list)
timeout: int = 36
timeout_unit: TimeoutUnit = TimeoutUnit.HOUR
@field_validator("inputs")
@classmethod
def _validate_inputs(cls, inputs: list[FormInput]) -> list[FormInput]:
seen_names: set[str] = set()
for form_input in inputs:
name = form_input.output_variable_name
if name in seen_names:
raise ValueError(f"duplicated output_variable_name '{name}' in inputs")
seen_names.add(name)
return inputs
@field_validator("user_actions")
@classmethod
def _validate_user_actions(cls, user_actions: list[UserAction]) -> list[UserAction]:
seen_ids: set[str] = set()
for action in user_actions:
action_id = action.id
if action_id in seen_ids:
raise ValueError(f"duplicated user action id '{action_id}'")
seen_ids.add(action_id)
return user_actions
def is_webapp_enabled(self) -> bool:
for dm in self.delivery_methods:
if not dm.enabled:
continue
if dm.type == DeliveryMethodType.WEBAPP:
return True
return False
def expiration_time(self, start_time: datetime) -> datetime:
if self.timeout_unit == TimeoutUnit.HOUR:
return start_time + timedelta(hours=self.timeout)
elif self.timeout_unit == TimeoutUnit.DAY:
return start_time + timedelta(days=self.timeout)
else:
raise AssertionError("unknown timeout unit.")
def outputs_field_names(self) -> Sequence[str]:
field_names = []
for match in _OUTPUT_VARIABLE_PATTERN.finditer(self.form_content):
field_names.append(match.group("field_name"))
return field_names
def extract_variable_selector_to_variable_mapping(self, node_id: str) -> Mapping[str, Sequence[str]]:
variable_mappings: dict[str, Sequence[str]] = {}
def _add_variable_selectors(selectors: Sequence[Sequence[str]]) -> None:
for selector in selectors:
if len(selector) < SELECTORS_LENGTH:
continue
qualified_variable_mapping_key = f"{node_id}.#{'.'.join(selector[:SELECTORS_LENGTH])}#"
variable_mappings[qualified_variable_mapping_key] = list(selector[:SELECTORS_LENGTH])
form_template_parser = VariableTemplateParser(template=self.form_content)
_add_variable_selectors(
[selector.value_selector for selector in form_template_parser.extract_variable_selectors()]
)
for delivery_method in self.delivery_methods:
if not delivery_method.enabled:
continue
_add_variable_selectors(delivery_method.extract_variable_selectors())
for input in self.inputs:
default_value = input.default
if default_value is None:
continue
if default_value.type == PlaceholderType.CONSTANT:
continue
default_value_key = ".".join(default_value.selector)
qualified_variable_mapping_key = f"{node_id}.#{default_value_key}#"
variable_mappings[qualified_variable_mapping_key] = default_value.selector
return variable_mappings
def find_action_text(self, action_id: str) -> str:
"""
Resolve action display text by id.
"""
for action in self.user_actions:
if action.id == action_id:
return action.title
return action_id
class FormDefinition(BaseModel):
form_content: str
inputs: list[FormInput] = Field(default_factory=list)
user_actions: list[UserAction] = Field(default_factory=list)
rendered_content: str
expiration_time: datetime
# this is used to store the resolved default values
default_values: dict[str, Any] = Field(default_factory=dict)
# node_title records the title of the HumanInput node.
node_title: str | None = None
# display_in_ui controls whether the form should be displayed in UI surfaces.
display_in_ui: bool | None = None
class HumanInputSubmissionValidationError(ValueError):
pass
def validate_human_input_submission(
*,
inputs: Sequence[FormInput],
user_actions: Sequence[UserAction],
selected_action_id: str,
form_data: Mapping[str, Any],
) -> None:
available_actions = {action.id for action in user_actions}
if selected_action_id not in available_actions:
raise HumanInputSubmissionValidationError(f"Invalid action: {selected_action_id}")
provided_inputs = set(form_data.keys())
missing_inputs = [
form_input.output_variable_name
for form_input in inputs
if form_input.output_variable_name not in provided_inputs
]
if missing_inputs:
missing_list = ", ".join(missing_inputs)
raise HumanInputSubmissionValidationError(f"Missing required inputs: {missing_list}")

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@ -0,0 +1,72 @@
import enum
class HumanInputFormStatus(enum.StrEnum):
"""Status of a human input form."""
# Awaiting submission from any recipient. Forms stay in this state until
# submitted or a timeout rule applies.
WAITING = enum.auto()
# Global timeout reached. The workflow run is stopped and will not resume.
# This is distinct from node-level timeout.
EXPIRED = enum.auto()
# Submitted by a recipient; form data is available and execution resumes
# along the selected action edge.
SUBMITTED = enum.auto()
# Node-level timeout reached. The human input node should emit a timeout
# event and the workflow should resume along the timeout edge.
TIMEOUT = enum.auto()
class HumanInputFormKind(enum.StrEnum):
"""Kind of a human input form."""
RUNTIME = enum.auto() # Form created during workflow execution.
DELIVERY_TEST = enum.auto() # Form created for delivery tests.
class DeliveryMethodType(enum.StrEnum):
"""Delivery method types for human input forms."""
# WEBAPP controls whether the form is delivered to the web app. It not only controls
# the standalone web app, but also controls the installed apps in the console.
WEBAPP = enum.auto()
EMAIL = enum.auto()
class ButtonStyle(enum.StrEnum):
"""Button styles for user actions."""
PRIMARY = enum.auto()
DEFAULT = enum.auto()
ACCENT = enum.auto()
GHOST = enum.auto()
class TimeoutUnit(enum.StrEnum):
"""Timeout unit for form expiration."""
HOUR = enum.auto()
DAY = enum.auto()
class FormInputType(enum.StrEnum):
"""Form input types."""
TEXT_INPUT = enum.auto()
PARAGRAPH = enum.auto()
class PlaceholderType(enum.StrEnum):
"""Default value types for form inputs."""
VARIABLE = enum.auto()
CONSTANT = enum.auto()
class EmailRecipientType(enum.StrEnum):
"""Email recipient types."""
MEMBER = enum.auto()
EXTERNAL = enum.auto()

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@ -1,12 +1,42 @@
from collections.abc import Mapping
from typing import Any
import json
import logging
from collections.abc import Generator, Mapping, Sequence
from typing import TYPE_CHECKING, Any
from core.app.entities.app_invoke_entities import InvokeFrom
from core.repositories.human_input_repository import HumanInputFormRepositoryImpl
from core.workflow.entities.pause_reason import HumanInputRequired
from core.workflow.enums import NodeExecutionType, NodeType, WorkflowNodeExecutionStatus
from core.workflow.node_events import NodeRunResult, PauseRequestedEvent
from core.workflow.node_events import (
HumanInputFormFilledEvent,
HumanInputFormTimeoutEvent,
NodeRunResult,
PauseRequestedEvent,
)
from core.workflow.node_events.base import NodeEventBase
from core.workflow.node_events.node import StreamCompletedEvent
from core.workflow.nodes.base.node import Node
from core.workflow.repositories.human_input_form_repository import (
FormCreateParams,
HumanInputFormEntity,
HumanInputFormRepository,
)
from core.workflow.workflow_type_encoder import WorkflowRuntimeTypeConverter
from extensions.ext_database import db
from libs.datetime_utils import naive_utc_now
from .entities import HumanInputNodeData
from .entities import DeliveryChannelConfig, HumanInputNodeData, apply_debug_email_recipient
from .enums import DeliveryMethodType, HumanInputFormStatus, PlaceholderType
if TYPE_CHECKING:
from core.workflow.entities.graph_init_params import GraphInitParams
from core.workflow.runtime.graph_runtime_state import GraphRuntimeState
_SELECTED_BRANCH_KEY = "selected_branch"
logger = logging.getLogger(__name__)
class HumanInputNode(Node[HumanInputNodeData]):
@ -17,7 +47,7 @@ class HumanInputNode(Node[HumanInputNodeData]):
"edge_source_handle",
"edgeSourceHandle",
"source_handle",
"selected_branch",
_SELECTED_BRANCH_KEY,
"selectedBranch",
"branch",
"branch_id",
@ -25,43 +55,37 @@ class HumanInputNode(Node[HumanInputNodeData]):
"handle",
)
_node_data: HumanInputNodeData
_form_repository: HumanInputFormRepository
_OUTPUT_FIELD_ACTION_ID = "__action_id"
_OUTPUT_FIELD_RENDERED_CONTENT = "__rendered_content"
_TIMEOUT_HANDLE = _TIMEOUT_ACTION_ID = "__timeout"
def __init__(
self,
id: str,
config: Mapping[str, Any],
graph_init_params: "GraphInitParams",
graph_runtime_state: "GraphRuntimeState",
form_repository: HumanInputFormRepository | None = None,
) -> None:
super().__init__(
id=id,
config=config,
graph_init_params=graph_init_params,
graph_runtime_state=graph_runtime_state,
)
if form_repository is None:
form_repository = HumanInputFormRepositoryImpl(
session_factory=db.engine,
tenant_id=self.tenant_id,
)
self._form_repository = form_repository
@classmethod
def version(cls) -> str:
return "1"
def _run(self): # type: ignore[override]
if self._is_completion_ready():
branch_handle = self._resolve_branch_selection()
return NodeRunResult(
status=WorkflowNodeExecutionStatus.SUCCEEDED,
outputs={},
edge_source_handle=branch_handle or "source",
)
return self._pause_generator()
def _pause_generator(self):
# TODO(QuantumGhost): yield a real form id.
yield PauseRequestedEvent(reason=HumanInputRequired(form_id="test_form_id", node_id=self.id))
def _is_completion_ready(self) -> bool:
"""Determine whether all required inputs are satisfied."""
if not self.node_data.required_variables:
return False
variable_pool = self.graph_runtime_state.variable_pool
for selector_str in self.node_data.required_variables:
parts = selector_str.split(".")
if len(parts) != 2:
return False
segment = variable_pool.get(parts)
if segment is None:
return False
return True
def _resolve_branch_selection(self) -> str | None:
"""Determine the branch handle selected by human input if available."""
@ -108,3 +132,224 @@ class HumanInputNode(Node[HumanInputNodeData]):
return candidate
return None
@property
def _workflow_execution_id(self) -> str:
workflow_exec_id = self.graph_runtime_state.variable_pool.system_variables.workflow_execution_id
assert workflow_exec_id is not None
return workflow_exec_id
def _form_to_pause_event(self, form_entity: HumanInputFormEntity):
required_event = self._human_input_required_event(form_entity)
pause_requested_event = PauseRequestedEvent(reason=required_event)
return pause_requested_event
def resolve_default_values(self) -> Mapping[str, Any]:
variable_pool = self.graph_runtime_state.variable_pool
resolved_defaults: dict[str, Any] = {}
for input in self._node_data.inputs:
if (default_value := input.default) is None:
continue
if default_value.type == PlaceholderType.CONSTANT:
continue
resolved_value = variable_pool.get(default_value.selector)
if resolved_value is None:
# TODO: How should we handle this?
continue
resolved_defaults[input.output_variable_name] = (
WorkflowRuntimeTypeConverter().value_to_json_encodable_recursive(resolved_value.value)
)
return resolved_defaults
def _should_require_console_recipient(self) -> bool:
if self.invoke_from == InvokeFrom.DEBUGGER:
return True
if self.invoke_from == InvokeFrom.EXPLORE:
return self._node_data.is_webapp_enabled()
return False
def _display_in_ui(self) -> bool:
if self.invoke_from == InvokeFrom.DEBUGGER:
return True
return self._node_data.is_webapp_enabled()
def _effective_delivery_methods(self) -> Sequence[DeliveryChannelConfig]:
enabled_methods = [method for method in self._node_data.delivery_methods if method.enabled]
if self.invoke_from in {InvokeFrom.DEBUGGER, InvokeFrom.EXPLORE}:
enabled_methods = [method for method in enabled_methods if method.type != DeliveryMethodType.WEBAPP]
return [
apply_debug_email_recipient(
method,
enabled=self.invoke_from == InvokeFrom.DEBUGGER,
user_id=self.user_id or "",
)
for method in enabled_methods
]
def _human_input_required_event(self, form_entity: HumanInputFormEntity) -> HumanInputRequired:
node_data = self._node_data
resolved_default_values = self.resolve_default_values()
display_in_ui = self._display_in_ui()
form_token = form_entity.web_app_token
if display_in_ui and form_token is None:
raise AssertionError("Form token should be available for UI execution.")
return HumanInputRequired(
form_id=form_entity.id,
form_content=form_entity.rendered_content,
inputs=node_data.inputs,
actions=node_data.user_actions,
display_in_ui=display_in_ui,
node_id=self.id,
node_title=node_data.title,
form_token=form_token,
resolved_default_values=resolved_default_values,
)
def _run(self) -> Generator[NodeEventBase, None, None]:
"""
Execute the human input node.
This method will:
1. Generate a unique form ID
2. Create form content with variable substitution
3. Create form in database
4. Send form via configured delivery methods
5. Suspend workflow execution
6. Wait for form submission to resume
"""
repo = self._form_repository
form = repo.get_form(self._workflow_execution_id, self.id)
if form is None:
display_in_ui = self._display_in_ui()
params = FormCreateParams(
app_id=self.app_id,
workflow_execution_id=self._workflow_execution_id,
node_id=self.id,
form_config=self._node_data,
rendered_content=self.render_form_content_before_submission(),
delivery_methods=self._effective_delivery_methods(),
display_in_ui=display_in_ui,
resolved_default_values=self.resolve_default_values(),
console_recipient_required=self._should_require_console_recipient(),
console_creator_account_id=(
self.user_id if self.invoke_from in {InvokeFrom.DEBUGGER, InvokeFrom.EXPLORE} else None
),
backstage_recipient_required=True,
)
form_entity = self._form_repository.create_form(params)
# Create human input required event
logger.info(
"Human Input node suspended workflow for form. workflow_run_id=%s, node_id=%s, form_id=%s",
self.graph_runtime_state.variable_pool.system_variables.workflow_execution_id,
self.id,
form_entity.id,
)
yield self._form_to_pause_event(form_entity)
return
if (
form.status in {HumanInputFormStatus.TIMEOUT, HumanInputFormStatus.EXPIRED}
or form.expiration_time <= naive_utc_now()
):
yield HumanInputFormTimeoutEvent(
node_title=self._node_data.title,
expiration_time=form.expiration_time,
)
yield StreamCompletedEvent(
node_run_result=NodeRunResult(
status=WorkflowNodeExecutionStatus.SUCCEEDED,
outputs={self._OUTPUT_FIELD_ACTION_ID: ""},
edge_source_handle=self._TIMEOUT_HANDLE,
)
)
return
if not form.submitted:
yield self._form_to_pause_event(form)
return
selected_action_id = form.selected_action_id
if selected_action_id is None:
raise AssertionError(f"selected_action_id should not be None when form submitted, form_id={form.id}")
submitted_data = form.submitted_data or {}
outputs: dict[str, Any] = dict(submitted_data)
outputs[self._OUTPUT_FIELD_ACTION_ID] = selected_action_id
rendered_content = self.render_form_content_with_outputs(
form.rendered_content,
outputs,
self._node_data.outputs_field_names(),
)
outputs[self._OUTPUT_FIELD_RENDERED_CONTENT] = rendered_content
action_text = self._node_data.find_action_text(selected_action_id)
yield HumanInputFormFilledEvent(
node_title=self._node_data.title,
rendered_content=rendered_content,
action_id=selected_action_id,
action_text=action_text,
)
yield StreamCompletedEvent(
node_run_result=NodeRunResult(
status=WorkflowNodeExecutionStatus.SUCCEEDED,
outputs=outputs,
edge_source_handle=selected_action_id,
)
)
def render_form_content_before_submission(self) -> str:
"""
Process form content by substituting variables.
This method should:
1. Parse the form_content markdown
2. Substitute {{#node_name.var_name#}} with actual values
3. Keep {{#$output.field_name#}} placeholders for form inputs
"""
rendered_form_content = self.graph_runtime_state.variable_pool.convert_template(
self._node_data.form_content,
)
return rendered_form_content.markdown
@staticmethod
def render_form_content_with_outputs(
form_content: str,
outputs: Mapping[str, Any],
field_names: Sequence[str],
) -> str:
"""
Replace {{#$output.xxx#}} placeholders with submitted values.
"""
rendered_content = form_content
for field_name in field_names:
placeholder = "{{#$output." + field_name + "#}}"
value = outputs.get(field_name)
if value is None:
replacement = ""
elif isinstance(value, (dict, list)):
replacement = json.dumps(value, ensure_ascii=False)
else:
replacement = str(value)
rendered_content = rendered_content.replace(placeholder, replacement)
return rendered_content
@classmethod
def _extract_variable_selector_to_variable_mapping(
cls,
*,
graph_config: Mapping[str, Any],
node_id: str,
node_data: Mapping[str, Any],
) -> Mapping[str, Sequence[str]]:
"""
Extract variable selectors referenced in form content and input default values.
This method should parse:
1. Variables referenced in form_content ({{#node_name.var_name#}})
2. Variables referenced in input default values
"""
validated_node_data = HumanInputNodeData.model_validate(node_data)
return validated_node_data.extract_variable_selector_to_variable_mapping(node_id)