feat(api): Introduce workflow pause state management (#27298)

Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com>
This commit is contained in:
QuantumGhost 2025-10-30 14:41:09 +08:00 committed by CodingOnStar
parent 4500a6060b
commit eef461ed22
43 changed files with 3834 additions and 44 deletions

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@ -1,6 +1,6 @@
import logging
import time
from collections.abc import Mapping
from collections.abc import Mapping, Sequence
from typing import Any, cast
from sqlalchemy import select
@ -25,6 +25,7 @@ from core.moderation.input_moderation import InputModeration
from core.variables.variables import VariableUnion
from core.workflow.enums import WorkflowType
from core.workflow.graph_engine.command_channels.redis_channel import RedisChannel
from core.workflow.graph_engine.layers.base import GraphEngineLayer
from core.workflow.graph_engine.layers.persistence import PersistenceWorkflowInfo, WorkflowPersistenceLayer
from core.workflow.repositories.workflow_execution_repository import WorkflowExecutionRepository
from core.workflow.repositories.workflow_node_execution_repository import WorkflowNodeExecutionRepository
@ -61,11 +62,13 @@ class AdvancedChatAppRunner(WorkflowBasedAppRunner):
app: App,
workflow_execution_repository: WorkflowExecutionRepository,
workflow_node_execution_repository: WorkflowNodeExecutionRepository,
graph_engine_layers: Sequence[GraphEngineLayer] = (),
):
super().__init__(
queue_manager=queue_manager,
variable_loader=variable_loader,
app_id=application_generate_entity.app_config.app_id,
graph_engine_layers=graph_engine_layers,
)
self.application_generate_entity = application_generate_entity
self.conversation = conversation
@ -195,6 +198,8 @@ class AdvancedChatAppRunner(WorkflowBasedAppRunner):
)
workflow_entry.graph_engine.layer(persistence_layer)
for layer in self._graph_engine_layers:
workflow_entry.graph_engine.layer(layer)
generator = workflow_entry.run()

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@ -135,6 +135,8 @@ class WorkflowAppRunner(WorkflowBasedAppRunner):
)
workflow_entry.graph_engine.layer(persistence_layer)
for layer in self._graph_engine_layers:
workflow_entry.graph_engine.layer(layer)
generator = workflow_entry.run()

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@ -1,5 +1,5 @@
import time
from collections.abc import Mapping
from collections.abc import Mapping, Sequence
from typing import Any, cast
from core.app.apps.base_app_queue_manager import AppQueueManager, PublishFrom
@ -27,6 +27,7 @@ from core.app.entities.queue_entities import (
)
from core.workflow.entities import GraphInitParams
from core.workflow.graph import Graph
from core.workflow.graph_engine.layers.base import GraphEngineLayer
from core.workflow.graph_events import (
GraphEngineEvent,
GraphRunFailedEvent,
@ -69,10 +70,12 @@ class WorkflowBasedAppRunner:
queue_manager: AppQueueManager,
variable_loader: VariableLoader = DUMMY_VARIABLE_LOADER,
app_id: str,
graph_engine_layers: Sequence[GraphEngineLayer] = (),
):
self._queue_manager = queue_manager
self._variable_loader = variable_loader
self._app_id = app_id
self._graph_engine_layers = graph_engine_layers
def _init_graph(
self,

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@ -0,0 +1,71 @@
from sqlalchemy import Engine
from sqlalchemy.orm import sessionmaker
from core.workflow.graph_engine.layers.base import GraphEngineLayer
from core.workflow.graph_events.base import GraphEngineEvent
from core.workflow.graph_events.graph import GraphRunPausedEvent
from repositories.api_workflow_run_repository import APIWorkflowRunRepository
from repositories.factory import DifyAPIRepositoryFactory
class PauseStatePersistenceLayer(GraphEngineLayer):
def __init__(self, session_factory: Engine | sessionmaker, state_owner_user_id: str):
"""Create a PauseStatePersistenceLayer.
The `state_owner_user_id` is used when creating state file for pause.
It generally should id of the creator of workflow.
"""
if isinstance(session_factory, Engine):
session_factory = sessionmaker(session_factory)
self._session_maker = session_factory
self._state_owner_user_id = state_owner_user_id
def _get_repo(self) -> APIWorkflowRunRepository:
return DifyAPIRepositoryFactory.create_api_workflow_run_repository(self._session_maker)
def on_graph_start(self) -> None:
"""
Called when graph execution starts.
This is called after the engine has been initialized but before any nodes
are executed. Layers can use this to set up resources or log start information.
"""
pass
def on_event(self, event: GraphEngineEvent) -> None:
"""
Called for every event emitted by the engine.
This method receives all events generated during graph execution, including:
- Graph lifecycle events (start, success, failure)
- Node execution events (start, success, failure, retry)
- Stream events for response nodes
- Container events (iteration, loop)
Args:
event: The event emitted by the engine
"""
if not isinstance(event, GraphRunPausedEvent):
return
assert self.graph_runtime_state is not None
workflow_run_id: str | None = self.graph_runtime_state.system_variable.workflow_execution_id
assert workflow_run_id is not None
repo = self._get_repo()
repo.create_workflow_pause(
workflow_run_id=workflow_run_id,
state_owner_user_id=self._state_owner_user_id,
state=self.graph_runtime_state.dumps(),
)
def on_graph_end(self, error: Exception | None) -> None:
"""
Called when graph execution ends.
This is called after all nodes have been executed or when execution is
aborted. Layers can use this to clean up resources or log final state.
Args:
error: The exception that caused execution to fail, or None if successful
"""
pass

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@ -4,6 +4,7 @@ from .agent import AgentNodeStrategyInit
from .graph_init_params import GraphInitParams
from .workflow_execution import WorkflowExecution
from .workflow_node_execution import WorkflowNodeExecution
from .workflow_pause import WorkflowPauseEntity
__all__ = [
"AgentNodeStrategyInit",
@ -12,4 +13,5 @@ __all__ = [
"VariablePool",
"WorkflowExecution",
"WorkflowNodeExecution",
"WorkflowPauseEntity",
]

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@ -0,0 +1,49 @@
from enum import StrEnum, auto
from typing import Annotated, Any, ClassVar, TypeAlias
from pydantic import BaseModel, Discriminator, Tag
class _PauseReasonType(StrEnum):
HUMAN_INPUT_REQUIRED = auto()
SCHEDULED_PAUSE = auto()
class _PauseReasonBase(BaseModel):
TYPE: ClassVar[_PauseReasonType]
class HumanInputRequired(_PauseReasonBase):
TYPE = _PauseReasonType.HUMAN_INPUT_REQUIRED
class SchedulingPause(_PauseReasonBase):
TYPE = _PauseReasonType.SCHEDULED_PAUSE
message: str
def _get_pause_reason_discriminator(v: Any) -> _PauseReasonType | None:
if isinstance(v, _PauseReasonBase):
return v.TYPE
elif isinstance(v, dict):
reason_type_str = v.get("TYPE")
if reason_type_str is None:
return None
try:
reason_type = _PauseReasonType(reason_type_str)
except ValueError:
return None
return reason_type
else:
# return None if the discriminator value isn't found
return None
PauseReason: TypeAlias = Annotated[
(
Annotated[HumanInputRequired, Tag(_PauseReasonType.HUMAN_INPUT_REQUIRED)]
| Annotated[SchedulingPause, Tag(_PauseReasonType.SCHEDULED_PAUSE)]
),
Discriminator(_get_pause_reason_discriminator),
]

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@ -0,0 +1,61 @@
"""
Domain entities for workflow pause management.
This module contains the domain model for workflow pause, which is used
by the core workflow module. These models are independent of the storage mechanism
and don't contain implementation details like tenant_id, app_id, etc.
"""
from abc import ABC, abstractmethod
from datetime import datetime
class WorkflowPauseEntity(ABC):
"""
Abstract base class for workflow pause entities.
This domain model represents a paused workflow execution state,
without implementation details like tenant_id, app_id, etc.
It provides the interface for managing workflow pause/resume operations
and state persistence through file storage.
The `WorkflowPauseEntity` is never reused. If a workflow execution pauses multiple times,
it will generate multiple `WorkflowPauseEntity` records.
"""
@property
@abstractmethod
def id(self) -> str:
"""The identifier of current WorkflowPauseEntity"""
pass
@property
@abstractmethod
def workflow_execution_id(self) -> str:
"""The identifier of the workflow execution record the pause associated with.
Correspond to `WorkflowExecution.id`.
"""
@abstractmethod
def get_state(self) -> bytes:
"""
Retrieve the serialized workflow state from storage.
This method should load and return the workflow execution state
that was saved when the workflow was paused. The state contains
all necessary information to resume the workflow execution.
Returns:
bytes: The serialized workflow state containing
execution context, variable values, node states, etc.
"""
...
@property
@abstractmethod
def resumed_at(self) -> datetime | None:
"""`resumed_at` return the resumption time of the current pause, or `None` if
the pause is not resumed yet.
"""
pass

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@ -92,13 +92,111 @@ class WorkflowType(StrEnum):
class WorkflowExecutionStatus(StrEnum):
# State diagram for the workflw status:
# (@) means start, (*) means end
#
# ┌------------------>------------------------->------------------->--------------┐
# | |
# | ┌-----------------------<--------------------┐ |
# ^ | | |
# | | ^ |
# | V | |
# ┌-----------┐ ┌-----------------------┐ ┌-----------┐ V
# | Scheduled |------->| Running |---------------------->| paused | |
# └-----------┘ └-----------------------┘ └-----------┘ |
# | | | | | | |
# | | | | | | |
# ^ | | | V V |
# | | | | | ┌---------┐ |
# (@) | | | └------------------------>| Stopped |<----┘
# | | | └---------┘
# | | | |
# | | V V
# | | ┌-----------┐ |
# | | | Succeeded |------------->--------------┤
# | | └-----------┘ |
# | V V
# | +--------┐ |
# | | Failed |---------------------->----------------┤
# | └--------┘ |
# V V
# ┌---------------------┐ |
# | Partially Succeeded |---------------------->-----------------┘--------> (*)
# └---------------------┘
#
# Mermaid diagram:
#
# ---
# title: State diagram for Workflow run state
# ---
# stateDiagram-v2
# scheduled: Scheduled
# running: Running
# succeeded: Succeeded
# failed: Failed
# partial_succeeded: Partial Succeeded
# paused: Paused
# stopped: Stopped
#
# [*] --> scheduled:
# scheduled --> running: Start Execution
# running --> paused: Human input required
# paused --> running: human input added
# paused --> stopped: User stops execution
# running --> succeeded: Execution finishes without any error
# running --> failed: Execution finishes with errors
# running --> stopped: User stops execution
# running --> partial_succeeded: some execution occurred and handled during execution
#
# scheduled --> stopped: User stops execution
#
# succeeded --> [*]
# failed --> [*]
# partial_succeeded --> [*]
# stopped --> [*]
# `SCHEDULED` means that the workflow is scheduled to run, but has not
# started running yet. (maybe due to possible worker saturation.)
#
# This enum value is currently unused.
SCHEDULED = "scheduled"
# `RUNNING` means the workflow is exeuting.
RUNNING = "running"
# `SUCCEEDED` means the execution of workflow succeed without any error.
SUCCEEDED = "succeeded"
# `FAILED` means the execution of workflow failed without some errors.
FAILED = "failed"
# `STOPPED` means the execution of workflow was stopped, either manually
# by the user, or automatically by the Dify application (E.G. the moderation
# mechanism.)
STOPPED = "stopped"
# `PARTIAL_SUCCEEDED` indicates that some errors occurred during the workflow
# execution, but they were successfully handled (e.g., by using an error
# strategy such as "fail branch" or "default value").
PARTIAL_SUCCEEDED = "partial-succeeded"
# `PAUSED` indicates that the workflow execution is temporarily paused
# (e.g., awaiting human input) and is expected to resume later.
PAUSED = "paused"
def is_ended(self) -> bool:
return self in _END_STATE
_END_STATE = frozenset(
[
WorkflowExecutionStatus.SUCCEEDED,
WorkflowExecutionStatus.FAILED,
WorkflowExecutionStatus.PARTIAL_SUCCEEDED,
WorkflowExecutionStatus.STOPPED,
]
)
class WorkflowNodeExecutionMetadataKey(StrEnum):
"""

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@ -3,6 +3,8 @@ from typing import final
from typing_extensions import override
from core.workflow.entities.pause_reason import SchedulingPause
from ..domain.graph_execution import GraphExecution
from ..entities.commands import AbortCommand, GraphEngineCommand, PauseCommand
from .command_processor import CommandHandler
@ -25,4 +27,7 @@ class PauseCommandHandler(CommandHandler):
def handle(self, command: GraphEngineCommand, execution: GraphExecution) -> None:
assert isinstance(command, PauseCommand)
logger.debug("Pausing workflow %s: %s", execution.workflow_id, command.reason)
execution.pause(command.reason)
# Convert string reason to PauseReason if needed
reason = command.reason
pause_reason = SchedulingPause(message=reason)
execution.pause(pause_reason)

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@ -8,6 +8,7 @@ from typing import Literal
from pydantic import BaseModel, Field
from core.workflow.entities.pause_reason import PauseReason
from core.workflow.enums import NodeState
from .node_execution import NodeExecution
@ -41,7 +42,7 @@ class GraphExecutionState(BaseModel):
completed: bool = Field(default=False)
aborted: bool = Field(default=False)
paused: bool = Field(default=False)
pause_reason: str | None = Field(default=None)
pause_reason: PauseReason | None = Field(default=None)
error: GraphExecutionErrorState | None = Field(default=None)
exceptions_count: int = Field(default=0)
node_executions: list[NodeExecutionState] = Field(default_factory=list[NodeExecutionState])
@ -106,7 +107,7 @@ class GraphExecution:
completed: bool = False
aborted: bool = False
paused: bool = False
pause_reason: str | None = None
pause_reason: PauseReason | None = None
error: Exception | None = None
node_executions: dict[str, NodeExecution] = field(default_factory=dict[str, NodeExecution])
exceptions_count: int = 0
@ -130,7 +131,7 @@ class GraphExecution:
self.aborted = True
self.error = RuntimeError(f"Aborted: {reason}")
def pause(self, reason: str | None = None) -> None:
def pause(self, reason: PauseReason) -> None:
"""Pause the graph execution without marking it complete."""
if self.completed:
raise RuntimeError("Cannot pause execution that has completed")

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@ -36,4 +36,4 @@ class PauseCommand(GraphEngineCommand):
"""Command to pause a running workflow execution."""
command_type: CommandType = Field(default=CommandType.PAUSE, description="Type of command")
reason: str | None = Field(default=None, description="Optional reason for pause")
reason: str = Field(default="unknown reason", description="reason for pause")

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@ -210,7 +210,7 @@ class EventHandler:
def _(self, event: NodeRunPauseRequestedEvent) -> None:
"""Handle pause requests emitted by nodes."""
pause_reason = event.reason or "Awaiting human input"
pause_reason = event.reason
self._graph_execution.pause(pause_reason)
self._state_manager.finish_execution(event.node_id)
if event.node_id in self._graph.nodes:

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@ -247,8 +247,11 @@ class GraphEngine:
# Handle completion
if self._graph_execution.is_paused:
pause_reason = self._graph_execution.pause_reason
assert pause_reason is not None, "pause_reason should not be None when execution is paused."
# Ensure we have a valid PauseReason for the event
paused_event = GraphRunPausedEvent(
reason=self._graph_execution.pause_reason,
reason=pause_reason,
outputs=self._graph_runtime_state.outputs,
)
self._event_manager.notify_layers(paused_event)

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@ -216,7 +216,6 @@ class WorkflowPersistenceLayer(GraphEngineLayer):
def _handle_graph_run_paused(self, event: GraphRunPausedEvent) -> None:
execution = self._get_workflow_execution()
execution.status = WorkflowExecutionStatus.PAUSED
execution.error_message = event.reason or "Workflow execution paused"
execution.outputs = event.outputs
self._populate_completion_statistics(execution, update_finished=False)
@ -296,7 +295,7 @@ class WorkflowPersistenceLayer(GraphEngineLayer):
domain_execution,
event.node_run_result,
WorkflowNodeExecutionStatus.PAUSED,
error=event.reason,
error="",
update_outputs=False,
)

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@ -1,5 +1,6 @@
from pydantic import Field
from core.workflow.entities.pause_reason import PauseReason
from core.workflow.graph_events import BaseGraphEvent
@ -44,7 +45,8 @@ class GraphRunAbortedEvent(BaseGraphEvent):
class GraphRunPausedEvent(BaseGraphEvent):
"""Event emitted when a graph run is paused by user command."""
reason: str | None = Field(default=None, description="reason for pause")
# reason: str | None = Field(default=None, description="reason for pause")
reason: PauseReason = Field(..., description="reason for pause")
outputs: dict[str, object] = Field(
default_factory=dict,
description="Outputs available to the client while the run is paused.",

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@ -5,6 +5,7 @@ from pydantic import Field
from core.rag.entities.citation_metadata import RetrievalSourceMetadata
from core.workflow.entities import AgentNodeStrategyInit
from core.workflow.entities.pause_reason import PauseReason
from .base import GraphNodeEventBase
@ -54,4 +55,4 @@ class NodeRunRetryEvent(NodeRunStartedEvent):
class NodeRunPauseRequestedEvent(GraphNodeEventBase):
reason: str | None = Field(default=None, description="Optional pause reason")
reason: PauseReason = Field(..., description="pause reason")

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@ -5,6 +5,7 @@ from pydantic import Field
from core.model_runtime.entities.llm_entities import LLMUsage
from core.rag.entities.citation_metadata import RetrievalSourceMetadata
from core.workflow.entities.pause_reason import PauseReason
from core.workflow.node_events import NodeRunResult
from .base import NodeEventBase
@ -43,4 +44,4 @@ class StreamCompletedEvent(NodeEventBase):
class PauseRequestedEvent(NodeEventBase):
reason: str | None = Field(default=None, description="Optional pause reason")
reason: PauseReason = Field(..., description="pause reason")

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@ -1,6 +1,7 @@
from collections.abc import Mapping
from typing import Any
from core.workflow.entities.pause_reason import HumanInputRequired
from core.workflow.enums import ErrorStrategy, NodeExecutionType, NodeType, WorkflowNodeExecutionStatus
from core.workflow.node_events import NodeRunResult, PauseRequestedEvent
from core.workflow.nodes.base.entities import BaseNodeData, RetryConfig
@ -64,7 +65,7 @@ class HumanInputNode(Node):
return self._pause_generator()
def _pause_generator(self):
yield PauseRequestedEvent(reason=self._node_data.pause_reason)
yield PauseRequestedEvent(reason=HumanInputRequired())
def _is_completion_ready(self) -> bool:
"""Determine whether all required inputs are satisfied."""

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@ -3,6 +3,7 @@ from typing import Any, Protocol
from core.model_runtime.entities.llm_entities import LLMUsage
from core.variables.segments import Segment
from core.workflow.system_variable import SystemVariableReadOnlyView
class ReadOnlyVariablePool(Protocol):
@ -30,6 +31,9 @@ class ReadOnlyGraphRuntimeState(Protocol):
All methods return defensive copies to ensure immutability.
"""
@property
def system_variable(self) -> SystemVariableReadOnlyView: ...
@property
def variable_pool(self) -> ReadOnlyVariablePool:
"""Get read-only access to the variable pool."""

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@ -6,6 +6,7 @@ from typing import Any
from core.model_runtime.entities.llm_entities import LLMUsage
from core.variables.segments import Segment
from core.workflow.system_variable import SystemVariableReadOnlyView
from .graph_runtime_state import GraphRuntimeState
from .variable_pool import VariablePool
@ -42,6 +43,10 @@ class ReadOnlyGraphRuntimeStateWrapper:
self._state = state
self._variable_pool_wrapper = ReadOnlyVariablePoolWrapper(state.variable_pool)
@property
def system_variable(self) -> SystemVariableReadOnlyView:
return self._state.variable_pool.system_variables.as_view()
@property
def variable_pool(self) -> ReadOnlyVariablePoolWrapper:
return self._variable_pool_wrapper

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@ -1,4 +1,5 @@
from collections.abc import Mapping, Sequence
from types import MappingProxyType
from typing import Any
from pydantic import AliasChoices, BaseModel, ConfigDict, Field, model_validator
@ -108,3 +109,102 @@ class SystemVariable(BaseModel):
if self.invoke_from is not None:
d[SystemVariableKey.INVOKE_FROM] = self.invoke_from
return d
def as_view(self) -> "SystemVariableReadOnlyView":
return SystemVariableReadOnlyView(self)
class SystemVariableReadOnlyView:
"""
A read-only view of a SystemVariable that implements the ReadOnlySystemVariable protocol.
This class wraps a SystemVariable instance and provides read-only access to all its fields.
It always reads the latest data from the wrapped instance and prevents any write operations.
"""
def __init__(self, system_variable: SystemVariable) -> None:
"""
Initialize the read-only view with a SystemVariable instance.
Args:
system_variable: The SystemVariable instance to wrap
"""
self._system_variable = system_variable
@property
def user_id(self) -> str | None:
return self._system_variable.user_id
@property
def app_id(self) -> str | None:
return self._system_variable.app_id
@property
def workflow_id(self) -> str | None:
return self._system_variable.workflow_id
@property
def workflow_execution_id(self) -> str | None:
return self._system_variable.workflow_execution_id
@property
def query(self) -> str | None:
return self._system_variable.query
@property
def conversation_id(self) -> str | None:
return self._system_variable.conversation_id
@property
def dialogue_count(self) -> int | None:
return self._system_variable.dialogue_count
@property
def document_id(self) -> str | None:
return self._system_variable.document_id
@property
def original_document_id(self) -> str | None:
return self._system_variable.original_document_id
@property
def dataset_id(self) -> str | None:
return self._system_variable.dataset_id
@property
def batch(self) -> str | None:
return self._system_variable.batch
@property
def datasource_type(self) -> str | None:
return self._system_variable.datasource_type
@property
def invoke_from(self) -> str | None:
return self._system_variable.invoke_from
@property
def files(self) -> Sequence[File]:
"""
Get a copy of the files from the wrapped SystemVariable.
Returns:
A defensive copy of the files sequence to prevent modification
"""
return tuple(self._system_variable.files) # Convert to immutable tuple
@property
def datasource_info(self) -> Mapping[str, Any] | None:
"""
Get a copy of the datasource info from the wrapped SystemVariable.
Returns:
A view of the datasource info mapping to prevent modification
"""
if self._system_variable.datasource_info is None:
return None
return MappingProxyType(self._system_variable.datasource_info)
def __repr__(self) -> str:
"""Return a string representation of the read-only view."""
return f"SystemVariableReadOnlyView(system_variable={self._system_variable!r})"

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@ -85,7 +85,7 @@ class Storage:
case _:
raise ValueError(f"unsupported storage type {storage_type}")
def save(self, filename, data):
def save(self, filename: str, data: bytes):
self.storage_runner.save(filename, data)
@overload

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@ -8,7 +8,7 @@ class BaseStorage(ABC):
"""Interface for file storage."""
@abstractmethod
def save(self, filename, data):
def save(self, filename: str, data: bytes):
raise NotImplementedError
@abstractmethod

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@ -0,0 +1,41 @@
"""add WorkflowPause model
Revision ID: 03f8dcbc611e
Revises: ae662b25d9bc
Create Date: 2025-10-22 16:11:31.805407
"""
from alembic import op
import models as models
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = "03f8dcbc611e"
down_revision = "ae662b25d9bc"
branch_labels = None
depends_on = None
def upgrade():
# ### commands auto generated by Alembic - please adjust! ###
op.create_table(
"workflow_pauses",
sa.Column("workflow_id", models.types.StringUUID(), nullable=False),
sa.Column("workflow_run_id", models.types.StringUUID(), nullable=False),
sa.Column("resumed_at", sa.DateTime(), nullable=True),
sa.Column("state_object_key", sa.String(length=255), nullable=False),
sa.Column("id", models.types.StringUUID(), server_default=sa.text("uuidv7()"), nullable=False),
sa.Column("created_at", sa.DateTime(), server_default=sa.text("CURRENT_TIMESTAMP"), nullable=False),
sa.Column("updated_at", sa.DateTime(), server_default=sa.text("CURRENT_TIMESTAMP"), nullable=False),
sa.PrimaryKeyConstraint("id", name=op.f("workflow_pauses_pkey")),
sa.UniqueConstraint("workflow_run_id", name=op.f("workflow_pauses_workflow_run_id_key")),
)
# ### end Alembic commands ###
def downgrade():
# ### commands auto generated by Alembic - please adjust! ###
op.drop_table("workflow_pauses")
# ### end Alembic commands ###

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@ -88,6 +88,7 @@ from .workflow import (
WorkflowNodeExecutionModel,
WorkflowNodeExecutionOffload,
WorkflowNodeExecutionTriggeredFrom,
WorkflowPause,
WorkflowRun,
WorkflowType,
)
@ -177,6 +178,7 @@ __all__ = [
"WorkflowNodeExecutionModel",
"WorkflowNodeExecutionOffload",
"WorkflowNodeExecutionTriggeredFrom",
"WorkflowPause",
"WorkflowRun",
"WorkflowRunTriggeredFrom",
"WorkflowToolProvider",

View File

@ -1,6 +1,12 @@
from sqlalchemy.orm import DeclarativeBase, MappedAsDataclass
from datetime import datetime
from sqlalchemy import DateTime, func, text
from sqlalchemy.orm import DeclarativeBase, Mapped, MappedAsDataclass, mapped_column
from libs.datetime_utils import naive_utc_now
from libs.uuid_utils import uuidv7
from models.engine import metadata
from models.types import StringUUID
class Base(DeclarativeBase):
@ -13,3 +19,34 @@ class TypeBase(MappedAsDataclass, DeclarativeBase):
"""
metadata = metadata
class DefaultFieldsMixin:
id: Mapped[str] = mapped_column(
StringUUID,
primary_key=True,
# NOTE: The default and server_default serve as fallback mechanisms.
# The application can generate the `id` before saving to optimize
# the insertion process (especially for interdependent models)
# and reduce database roundtrips.
default=uuidv7,
server_default=text("uuidv7()"),
)
created_at: Mapped[datetime] = mapped_column(
DateTime,
nullable=False,
default=naive_utc_now,
server_default=func.current_timestamp(),
)
updated_at: Mapped[datetime] = mapped_column(
__name_pos=DateTime,
nullable=False,
default=naive_utc_now,
server_default=func.current_timestamp(),
onupdate=func.current_timestamp(),
)
def __repr__(self) -> str:
return f"<{self.__class__.__name__}(id={self.id})>"

View File

@ -13,8 +13,11 @@ from core.file.constants import maybe_file_object
from core.file.models import File
from core.variables import utils as variable_utils
from core.variables.variables import FloatVariable, IntegerVariable, StringVariable
from core.workflow.constants import CONVERSATION_VARIABLE_NODE_ID, SYSTEM_VARIABLE_NODE_ID
from core.workflow.enums import NodeType
from core.workflow.constants import (
CONVERSATION_VARIABLE_NODE_ID,
SYSTEM_VARIABLE_NODE_ID,
)
from core.workflow.enums import NodeType, WorkflowExecutionStatus
from extensions.ext_storage import Storage
from factories.variable_factory import TypeMismatchError, build_segment_with_type
from libs.datetime_utils import naive_utc_now
@ -35,7 +38,7 @@ from factories import variable_factory
from libs import helper
from .account import Account
from .base import Base
from .base import Base, DefaultFieldsMixin
from .engine import db
from .enums import CreatorUserRole, DraftVariableType, ExecutionOffLoadType
from .types import EnumText, StringUUID
@ -247,7 +250,9 @@ class Workflow(Base):
return node_type
@staticmethod
def get_enclosing_node_type_and_id(node_config: Mapping[str, Any]) -> tuple[NodeType, str] | None:
def get_enclosing_node_type_and_id(
node_config: Mapping[str, Any],
) -> tuple[NodeType, str] | None:
in_loop = node_config.get("isInLoop", False)
in_iteration = node_config.get("isInIteration", False)
if in_loop:
@ -306,7 +311,10 @@ class Workflow(Base):
if "nodes" not in graph_dict:
return []
start_node = next((node for node in graph_dict["nodes"] if node["data"]["type"] == "start"), None)
start_node = next(
(node for node in graph_dict["nodes"] if node["data"]["type"] == "start"),
None,
)
if not start_node:
return []
@ -359,7 +367,9 @@ class Workflow(Base):
return db.session.execute(stmt).scalar_one()
@property
def environment_variables(self) -> Sequence[StringVariable | IntegerVariable | FloatVariable | SecretVariable]:
def environment_variables(
self,
) -> Sequence[StringVariable | IntegerVariable | FloatVariable | SecretVariable]:
# TODO: find some way to init `self._environment_variables` when instance created.
if self._environment_variables is None:
self._environment_variables = "{}"
@ -376,7 +386,9 @@ class Workflow(Base):
]
# decrypt secret variables value
def decrypt_func(var: Variable) -> StringVariable | IntegerVariable | FloatVariable | SecretVariable:
def decrypt_func(
var: Variable,
) -> StringVariable | IntegerVariable | FloatVariable | SecretVariable:
if isinstance(var, SecretVariable):
return var.model_copy(update={"value": encrypter.decrypt_token(tenant_id=tenant_id, token=var.value)})
elif isinstance(var, (StringVariable, IntegerVariable, FloatVariable)):
@ -537,7 +549,10 @@ class WorkflowRun(Base):
version: Mapped[str] = mapped_column(String(255))
graph: Mapped[str | None] = mapped_column(sa.Text)
inputs: Mapped[str | None] = mapped_column(sa.Text)
status: Mapped[str] = mapped_column(String(255)) # running, succeeded, failed, stopped, partial-succeeded
status: Mapped[str] = mapped_column(
EnumText(WorkflowExecutionStatus, length=255),
nullable=False,
)
outputs: Mapped[str | None] = mapped_column(sa.Text, default="{}")
error: Mapped[str | None] = mapped_column(sa.Text)
elapsed_time: Mapped[float] = mapped_column(sa.Float, nullable=False, server_default=sa.text("0"))
@ -549,6 +564,15 @@ class WorkflowRun(Base):
finished_at: Mapped[datetime | None] = mapped_column(DateTime)
exceptions_count: Mapped[int] = mapped_column(sa.Integer, server_default=sa.text("0"), nullable=True)
pause: Mapped[Optional["WorkflowPause"]] = orm.relationship(
"WorkflowPause",
primaryjoin="WorkflowRun.id == foreign(WorkflowPause.workflow_run_id)",
uselist=False,
# require explicit preloading.
lazy="raise",
back_populates="workflow_run",
)
@property
def created_by_account(self):
created_by_role = CreatorUserRole(self.created_by_role)
@ -1073,7 +1097,10 @@ class ConversationVariable(Base):
DateTime, nullable=False, server_default=func.current_timestamp(), index=True
)
updated_at: Mapped[datetime] = mapped_column(
DateTime, nullable=False, server_default=func.current_timestamp(), onupdate=func.current_timestamp()
DateTime,
nullable=False,
server_default=func.current_timestamp(),
onupdate=func.current_timestamp(),
)
def __init__(self, *, id: str, app_id: str, conversation_id: str, data: str):
@ -1101,10 +1128,6 @@ class ConversationVariable(Base):
_EDITABLE_SYSTEM_VARIABLE = frozenset(["query", "files"])
def _naive_utc_datetime():
return naive_utc_now()
class WorkflowDraftVariable(Base):
"""`WorkflowDraftVariable` record variables and outputs generated during
debugging workflow or chatflow.
@ -1138,14 +1161,14 @@ class WorkflowDraftVariable(Base):
created_at: Mapped[datetime] = mapped_column(
DateTime,
nullable=False,
default=_naive_utc_datetime,
default=naive_utc_now,
server_default=func.current_timestamp(),
)
updated_at: Mapped[datetime] = mapped_column(
DateTime,
nullable=False,
default=_naive_utc_datetime,
default=naive_utc_now,
server_default=func.current_timestamp(),
onupdate=func.current_timestamp(),
)
@ -1412,8 +1435,8 @@ class WorkflowDraftVariable(Base):
file_id: str | None = None,
) -> "WorkflowDraftVariable":
variable = WorkflowDraftVariable()
variable.created_at = _naive_utc_datetime()
variable.updated_at = _naive_utc_datetime()
variable.created_at = naive_utc_now()
variable.updated_at = naive_utc_now()
variable.description = description
variable.app_id = app_id
variable.node_id = node_id
@ -1518,7 +1541,7 @@ class WorkflowDraftVariableFile(Base):
created_at: Mapped[datetime] = mapped_column(
DateTime,
nullable=False,
default=_naive_utc_datetime,
default=naive_utc_now,
server_default=func.current_timestamp(),
)
@ -1583,3 +1606,68 @@ class WorkflowDraftVariableFile(Base):
def is_system_variable_editable(name: str) -> bool:
return name in _EDITABLE_SYSTEM_VARIABLE
class WorkflowPause(DefaultFieldsMixin, Base):
"""
WorkflowPause records the paused state and related metadata for a specific workflow run.
Each `WorkflowRun` can have zero or one associated `WorkflowPause`, depending on its execution status.
If a `WorkflowRun` is in the `PAUSED` state, there must be a corresponding `WorkflowPause`
that has not yet been resumed.
Otherwise, there should be no active (non-resumed) `WorkflowPause` linked to that run.
This model captures the execution context required to resume workflow processing at a later time.
"""
__tablename__ = "workflow_pauses"
__table_args__ = (
# Design Note:
# Instead of adding a `pause_id` field to the `WorkflowRun` model—which would require a migration
# on a potentially large table—we reference `WorkflowRun` from `WorkflowPause` and enforce a unique
# constraint on `workflow_run_id` to guarantee a one-to-one relationship.
UniqueConstraint("workflow_run_id"),
)
# `workflow_id` represents the unique identifier of the workflow associated with this pause.
# It corresponds to the `id` field in the `Workflow` model.
#
# Since an application can have multiple versions of a workflow, each with its own unique ID,
# the `app_id` alone is insufficient to determine which workflow version should be loaded
# when resuming a suspended workflow.
workflow_id: Mapped[str] = mapped_column(
StringUUID,
nullable=False,
)
# `workflow_run_id` represents the identifier of the execution of workflow,
# correspond to the `id` field of `WorkflowRun`.
workflow_run_id: Mapped[str] = mapped_column(
StringUUID,
nullable=False,
)
# `resumed_at` records the timestamp when the suspended workflow was resumed.
# It is set to `NULL` if the workflow has not been resumed.
#
# NOTE: Resuming a suspended WorkflowPause does not delete the record immediately.
# It only set `resumed_at` to a non-null value.
resumed_at: Mapped[datetime | None] = mapped_column(
sa.DateTime,
nullable=True,
)
# state_object_key stores the object key referencing the serialized runtime state
# of the `GraphEngine`. This object captures the complete execution context of the
# workflow at the moment it was paused, enabling accurate resumption.
state_object_key: Mapped[str] = mapped_column(String(length=255), nullable=False)
# Relationship to WorkflowRun
workflow_run: Mapped["WorkflowRun"] = orm.relationship(
foreign_keys=[workflow_run_id],
# require explicit preloading.
lazy="raise",
uselist=False,
primaryjoin="WorkflowPause.workflow_run_id == WorkflowRun.id",
back_populates="pause",
)

View File

@ -38,6 +38,7 @@ from collections.abc import Sequence
from datetime import datetime
from typing import Protocol
from core.workflow.entities.workflow_pause import WorkflowPauseEntity
from core.workflow.repositories.workflow_execution_repository import WorkflowExecutionRepository
from libs.infinite_scroll_pagination import InfiniteScrollPagination
from models.enums import WorkflowRunTriggeredFrom
@ -251,6 +252,116 @@ class APIWorkflowRunRepository(WorkflowExecutionRepository, Protocol):
"""
...
def create_workflow_pause(
self,
workflow_run_id: str,
state_owner_user_id: str,
state: str,
) -> WorkflowPauseEntity:
"""
Create a new workflow pause state.
Creates a pause state for a workflow run, storing the current execution
state and marking the workflow as paused. This is used when a workflow
needs to be suspended and later resumed.
Args:
workflow_run_id: Identifier of the workflow run to pause
state_owner_user_id: User ID who owns the pause state for file storage
state: Serialized workflow execution state (JSON string)
Returns:
WorkflowPauseEntity representing the created pause state
Raises:
ValueError: If workflow_run_id is invalid or workflow run doesn't exist
RuntimeError: If workflow is already paused or in invalid state
"""
# NOTE: we may get rid of the `state_owner_user_id` in parameter list.
# However, removing it would require an extra for `Workflow` model
# while creating pause.
...
def resume_workflow_pause(
self,
workflow_run_id: str,
pause_entity: WorkflowPauseEntity,
) -> WorkflowPauseEntity:
"""
Resume a paused workflow.
Marks a paused workflow as resumed, set the `resumed_at` field of WorkflowPauseEntity
and returning the workflow to running status. Returns the pause entity
that was resumed.
The returned `WorkflowPauseEntity` model has `resumed_at` set.
NOTE: this method does not delete the correspond `WorkflowPauseEntity` record and associated states.
It's the callers responsibility to clear the correspond state with `delete_workflow_pause`.
Args:
workflow_run_id: Identifier of the workflow run to resume
pause_entity: The pause entity to resume
Returns:
WorkflowPauseEntity representing the resumed pause state
Raises:
ValueError: If workflow_run_id is invalid
RuntimeError: If workflow is not paused or already resumed
"""
...
def delete_workflow_pause(
self,
pause_entity: WorkflowPauseEntity,
) -> None:
"""
Delete a workflow pause state.
Permanently removes the pause state for a workflow run, including
the stored state file. Used for cleanup operations when a paused
workflow is no longer needed.
Args:
pause_entity: The pause entity to delete
Raises:
ValueError: If pause_entity is invalid
RuntimeError: If workflow is not paused
Note:
This operation is irreversible. The stored workflow state will be
permanently deleted along with the pause record.
"""
...
def prune_pauses(
self,
expiration: datetime,
resumption_expiration: datetime,
limit: int | None = None,
) -> Sequence[str]:
"""
Clean up expired and old pause states.
Removes pause states that have expired (created before expiration time)
and pause states that were resumed more than resumption_duration ago.
This is used for maintenance and cleanup operations.
Args:
expiration: Remove pause states created before this time
resumption_expiration: Remove pause states resumed before this time
limit: maximum number of records deleted in one call
Returns:
a list of ids for pause records that were pruned
Raises:
ValueError: If parameters are invalid
"""
...
def get_daily_runs_statistics(
self,
tenant_id: str,

View File

@ -20,19 +20,26 @@ Implementation Notes:
"""
import logging
import uuid
from collections.abc import Sequence
from datetime import datetime
from decimal import Decimal
from typing import Any, cast
import sqlalchemy as sa
from sqlalchemy import delete, func, select
from sqlalchemy import and_, delete, func, null, or_, select
from sqlalchemy.engine import CursorResult
from sqlalchemy.orm import Session, sessionmaker
from sqlalchemy.orm import Session, selectinload, sessionmaker
from core.workflow.entities.workflow_pause import WorkflowPauseEntity
from core.workflow.enums import WorkflowExecutionStatus
from extensions.ext_storage import storage
from libs.datetime_utils import naive_utc_now
from libs.infinite_scroll_pagination import InfiniteScrollPagination
from libs.time_parser import get_time_threshold
from libs.uuid_utils import uuidv7
from models.enums import WorkflowRunTriggeredFrom
from models.workflow import WorkflowPause as WorkflowPauseModel
from models.workflow import WorkflowRun
from repositories.api_workflow_run_repository import APIWorkflowRunRepository
from repositories.types import (
@ -45,6 +52,10 @@ from repositories.types import (
logger = logging.getLogger(__name__)
class _WorkflowRunError(Exception):
pass
class DifyAPISQLAlchemyWorkflowRunRepository(APIWorkflowRunRepository):
"""
SQLAlchemy implementation of APIWorkflowRunRepository.
@ -301,6 +312,281 @@ class DifyAPISQLAlchemyWorkflowRunRepository(APIWorkflowRunRepository):
logger.info("Total deleted %s workflow runs for app %s", total_deleted, app_id)
return total_deleted
def create_workflow_pause(
self,
workflow_run_id: str,
state_owner_user_id: str,
state: str,
) -> WorkflowPauseEntity:
"""
Create a new workflow pause state.
Creates a pause state for a workflow run, storing the current execution
state and marking the workflow as paused. This is used when a workflow
needs to be suspended and later resumed.
Args:
workflow_run_id: Identifier of the workflow run to pause
state_owner_user_id: User ID who owns the pause state for file storage
state: Serialized workflow execution state (JSON string)
Returns:
RepositoryWorkflowPauseEntity representing the created pause state
Raises:
ValueError: If workflow_run_id is invalid or workflow run doesn't exist
RuntimeError: If workflow is already paused or in invalid state
"""
previous_pause_model_query = select(WorkflowPauseModel).where(
WorkflowPauseModel.workflow_run_id == workflow_run_id
)
with self._session_maker() as session, session.begin():
# Get the workflow run
workflow_run = session.get(WorkflowRun, workflow_run_id)
if workflow_run is None:
raise ValueError(f"WorkflowRun not found: {workflow_run_id}")
# Check if workflow is in RUNNING status
if workflow_run.status != WorkflowExecutionStatus.RUNNING:
raise _WorkflowRunError(
f"Only WorkflowRun with RUNNING status can be paused, "
f"workflow_run_id={workflow_run_id}, current_status={workflow_run.status}"
)
#
previous_pause = session.scalars(previous_pause_model_query).first()
if previous_pause:
self._delete_pause_model(session, previous_pause)
# we need to flush here to ensure that the old one is actually deleted.
session.flush()
state_obj_key = f"workflow-state-{uuid.uuid4()}.json"
storage.save(state_obj_key, state.encode())
# Upload the state file
# Create the pause record
pause_model = WorkflowPauseModel()
pause_model.id = str(uuidv7())
pause_model.workflow_id = workflow_run.workflow_id
pause_model.workflow_run_id = workflow_run.id
pause_model.state_object_key = state_obj_key
pause_model.created_at = naive_utc_now()
# Update workflow run status
workflow_run.status = WorkflowExecutionStatus.PAUSED
# Save everything in a transaction
session.add(pause_model)
session.add(workflow_run)
logger.info("Created workflow pause %s for workflow run %s", pause_model.id, workflow_run_id)
return _PrivateWorkflowPauseEntity.from_models(pause_model)
def get_workflow_pause(
self,
workflow_run_id: str,
) -> WorkflowPauseEntity | None:
"""
Get an existing workflow pause state.
Retrieves the pause state for a specific workflow run if it exists.
Used to check if a workflow is paused and to retrieve its saved state.
Args:
workflow_run_id: Identifier of the workflow run to get pause state for
Returns:
RepositoryWorkflowPauseEntity if pause state exists, None otherwise
Raises:
ValueError: If workflow_run_id is invalid
"""
with self._session_maker() as session:
# Query workflow run with pause and state file
stmt = select(WorkflowRun).options(selectinload(WorkflowRun.pause)).where(WorkflowRun.id == workflow_run_id)
workflow_run = session.scalar(stmt)
if workflow_run is None:
raise ValueError(f"WorkflowRun not found: {workflow_run_id}")
pause_model = workflow_run.pause
if pause_model is None:
return None
return _PrivateWorkflowPauseEntity.from_models(pause_model)
def resume_workflow_pause(
self,
workflow_run_id: str,
pause_entity: WorkflowPauseEntity,
) -> WorkflowPauseEntity:
"""
Resume a paused workflow.
Marks a paused workflow as resumed, clearing the pause state and
returning the workflow to running status. Returns the pause entity
that was resumed.
Args:
workflow_run_id: Identifier of the workflow run to resume
pause_entity: The pause entity to resume
Returns:
RepositoryWorkflowPauseEntity representing the resumed pause state
Raises:
ValueError: If workflow_run_id is invalid
RuntimeError: If workflow is not paused or already resumed
"""
with self._session_maker() as session, session.begin():
# Get the workflow run with pause
stmt = select(WorkflowRun).options(selectinload(WorkflowRun.pause)).where(WorkflowRun.id == workflow_run_id)
workflow_run = session.scalar(stmt)
if workflow_run is None:
raise ValueError(f"WorkflowRun not found: {workflow_run_id}")
if workflow_run.status != WorkflowExecutionStatus.PAUSED:
raise _WorkflowRunError(
f"WorkflowRun is not in PAUSED status, workflow_run_id={workflow_run_id}, "
f"current_status={workflow_run.status}"
)
pause_model = workflow_run.pause
if pause_model is None:
raise _WorkflowRunError(f"No pause state found for workflow run: {workflow_run_id}")
if pause_model.id != pause_entity.id:
raise _WorkflowRunError(
"different id in WorkflowPause and WorkflowPauseEntity, "
f"WorkflowPause.id={pause_model.id}, "
f"WorkflowPauseEntity.id={pause_entity.id}"
)
if pause_model.resumed_at is not None:
raise _WorkflowRunError(f"Cannot resume an already resumed pause, pause_id={pause_model.id}")
# Mark as resumed
pause_model.resumed_at = naive_utc_now()
workflow_run.pause_id = None # type: ignore
workflow_run.status = WorkflowExecutionStatus.RUNNING
session.add(pause_model)
session.add(workflow_run)
logger.info("Resumed workflow pause %s for workflow run %s", pause_model.id, workflow_run_id)
return _PrivateWorkflowPauseEntity.from_models(pause_model)
def delete_workflow_pause(
self,
pause_entity: WorkflowPauseEntity,
) -> None:
"""
Delete a workflow pause state.
Permanently removes the pause state for a workflow run, including
the stored state file. Used for cleanup operations when a paused
workflow is no longer needed.
Args:
pause_entity: The pause entity to delete
Raises:
ValueError: If pause_entity is invalid
_WorkflowRunError: If workflow is not paused
Note:
This operation is irreversible. The stored workflow state will be
permanently deleted along with the pause record.
"""
with self._session_maker() as session, session.begin():
# Get the pause model by ID
pause_model = session.get(WorkflowPauseModel, pause_entity.id)
if pause_model is None:
raise _WorkflowRunError(f"WorkflowPause not found: {pause_entity.id}")
self._delete_pause_model(session, pause_model)
@staticmethod
def _delete_pause_model(session: Session, pause_model: WorkflowPauseModel):
storage.delete(pause_model.state_object_key)
# Delete the pause record
session.delete(pause_model)
logger.info("Deleted workflow pause %s for workflow run %s", pause_model.id, pause_model.workflow_run_id)
def prune_pauses(
self,
expiration: datetime,
resumption_expiration: datetime,
limit: int | None = None,
) -> Sequence[str]:
"""
Clean up expired and old pause states.
Removes pause states that have expired (created before expiration time)
and pause states that were resumed more than resumption_duration ago.
This is used for maintenance and cleanup operations.
Args:
expiration: Remove pause states created before this time
resumption_expiration: Remove pause states resumed before this time
limit: maximum number of records deleted in one call
Returns:
a list of ids for pause records that were pruned
Raises:
ValueError: If parameters are invalid
"""
_limit: int = limit or 1000
pruned_record_ids: list[str] = []
cond = or_(
WorkflowPauseModel.created_at < expiration,
and_(
WorkflowPauseModel.resumed_at.is_not(null()),
WorkflowPauseModel.resumed_at < resumption_expiration,
),
)
# First, collect pause records to delete with their state files
# Expired pauses (created before expiration time)
stmt = select(WorkflowPauseModel).where(cond).limit(_limit)
with self._session_maker(expire_on_commit=False) as session:
# Old resumed pauses (resumed more than resumption_duration ago)
# Get all records to delete
pauses_to_delete = session.scalars(stmt).all()
# Delete state files from storage
for pause in pauses_to_delete:
with self._session_maker(expire_on_commit=False) as session, session.begin():
# todo: this issues a separate query for each WorkflowPauseModel record.
# consider batching this lookup.
try:
storage.delete(pause.state_object_key)
logger.info(
"Deleted state object for pause, pause_id=%s, object_key=%s",
pause.id,
pause.state_object_key,
)
except Exception:
logger.exception(
"Failed to delete state file for pause, pause_id=%s, object_key=%s",
pause.id,
pause.state_object_key,
)
continue
session.delete(pause)
pruned_record_ids.append(pause.id)
logger.info(
"workflow pause records deleted, id=%s, resumed_at=%s",
pause.id,
pause.resumed_at,
)
return pruned_record_ids
def get_daily_runs_statistics(
self,
tenant_id: str,
@ -510,3 +796,69 @@ GROUP BY
)
return cast(list[AverageInteractionStats], response_data)
class _PrivateWorkflowPauseEntity(WorkflowPauseEntity):
"""
Private implementation of WorkflowPauseEntity for SQLAlchemy repository.
This implementation is internal to the repository layer and provides
the concrete implementation of the WorkflowPauseEntity interface.
"""
def __init__(
self,
*,
pause_model: WorkflowPauseModel,
) -> None:
self._pause_model = pause_model
self._cached_state: bytes | None = None
@classmethod
def from_models(cls, workflow_pause_model) -> "_PrivateWorkflowPauseEntity":
"""
Create a _PrivateWorkflowPauseEntity from database models.
Args:
workflow_pause_model: The WorkflowPause database model
upload_file_model: The UploadFile database model
Returns:
_PrivateWorkflowPauseEntity: The constructed entity
Raises:
ValueError: If required model attributes are missing
"""
return cls(pause_model=workflow_pause_model)
@property
def id(self) -> str:
return self._pause_model.id
@property
def workflow_execution_id(self) -> str:
return self._pause_model.workflow_run_id
def get_state(self) -> bytes:
"""
Retrieve the serialized workflow state from storage.
Returns:
Mapping[str, Any]: The workflow state as a dictionary
Raises:
FileNotFoundError: If the state file cannot be found
IOError: If there are issues reading the state file
_Workflow: If the state cannot be deserialized properly
"""
if self._cached_state is not None:
return self._cached_state
# Load the state from storage
state_data = storage.load(self._pause_model.state_object_key)
self._cached_state = state_data
return state_data
@property
def resumed_at(self) -> datetime | None:
return self._pause_model.resumed_at

View File

@ -1,6 +1,7 @@
import threading
from collections.abc import Sequence
from sqlalchemy import Engine
from sqlalchemy.orm import sessionmaker
import contexts
@ -14,17 +15,26 @@ from models import (
WorkflowRun,
WorkflowRunTriggeredFrom,
)
from repositories.api_workflow_run_repository import APIWorkflowRunRepository
from repositories.factory import DifyAPIRepositoryFactory
class WorkflowRunService:
def __init__(self):
_session_factory: sessionmaker
_workflow_run_repo: APIWorkflowRunRepository
def __init__(self, session_factory: Engine | sessionmaker | None = None):
"""Initialize WorkflowRunService with repository dependencies."""
session_maker = sessionmaker(bind=db.engine, expire_on_commit=False)
if session_factory is None:
session_factory = sessionmaker(bind=db.engine, expire_on_commit=False)
elif isinstance(session_factory, Engine):
session_factory = sessionmaker(bind=session_factory, expire_on_commit=False)
self._session_factory = session_factory
self._node_execution_service_repo = DifyAPIRepositoryFactory.create_api_workflow_node_execution_repository(
session_maker
self._session_factory
)
self._workflow_run_repo = DifyAPIRepositoryFactory.create_api_workflow_run_repository(session_maker)
self._workflow_run_repo = DifyAPIRepositoryFactory.create_api_workflow_run_repository(self._session_factory)
def get_paginate_advanced_chat_workflow_runs(
self, app_model: App, args: dict, triggered_from: WorkflowRunTriggeredFrom = WorkflowRunTriggeredFrom.DEBUGGING

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# Core integration tests package

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# App integration tests package

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# Layers integration tests package

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"""Comprehensive TestContainers-based integration tests for PauseStatePersistenceLayer class.
This test suite covers complete integration scenarios including:
- Real database interactions using containerized PostgreSQL
- Real storage operations using test storage backend
- Complete workflow: event -> state serialization -> database save -> storage save
- Testing with actual WorkflowRunService (not mocked)
- Real Workflow and WorkflowRun instances in database
- Database transactions and rollback behavior
- Actual file upload and retrieval through storage
- Workflow status transitions in database
- Error handling with real database constraints
- Multiple pause events in sequence
- Integration with real ReadOnlyGraphRuntimeState implementations
These tests use TestContainers to spin up real services for integration testing,
providing more reliable and realistic test scenarios than mocks.
"""
import json
import uuid
from time import time
import pytest
from sqlalchemy import Engine, delete, select
from sqlalchemy.orm import Session
from core.app.layers.pause_state_persist_layer import PauseStatePersistenceLayer
from core.model_runtime.entities.llm_entities import LLMUsage
from core.workflow.entities.pause_reason import SchedulingPause
from core.workflow.enums import WorkflowExecutionStatus
from core.workflow.graph_engine.entities.commands import GraphEngineCommand
from core.workflow.graph_events.graph import GraphRunPausedEvent
from core.workflow.runtime.graph_runtime_state import GraphRuntimeState
from core.workflow.runtime.graph_runtime_state_protocol import ReadOnlyGraphRuntimeState
from core.workflow.runtime.read_only_wrappers import ReadOnlyGraphRuntimeStateWrapper
from core.workflow.runtime.variable_pool import SystemVariable, VariablePool
from extensions.ext_storage import storage
from libs.datetime_utils import naive_utc_now
from models import Account
from models import WorkflowPause as WorkflowPauseModel
from models.model import UploadFile
from models.workflow import Workflow, WorkflowRun
from services.file_service import FileService
from services.workflow_run_service import WorkflowRunService
class _TestCommandChannelImpl:
"""Real implementation of CommandChannel for testing."""
def __init__(self):
self._commands: list[GraphEngineCommand] = []
def fetch_commands(self) -> list[GraphEngineCommand]:
"""Fetch pending commands for this GraphEngine instance."""
return self._commands.copy()
def send_command(self, command: GraphEngineCommand) -> None:
"""Send a command to be processed by this GraphEngine instance."""
self._commands.append(command)
class TestPauseStatePersistenceLayerTestContainers:
"""Comprehensive TestContainers-based integration tests for PauseStatePersistenceLayer class."""
@pytest.fixture
def engine(self, db_session_with_containers: Session):
"""Get database engine from TestContainers session."""
bind = db_session_with_containers.get_bind()
assert isinstance(bind, Engine)
return bind
@pytest.fixture
def file_service(self, engine: Engine):
"""Create FileService instance with TestContainers engine."""
return FileService(engine)
@pytest.fixture
def workflow_run_service(self, engine: Engine, file_service: FileService):
"""Create WorkflowRunService instance with TestContainers engine and FileService."""
return WorkflowRunService(engine)
@pytest.fixture(autouse=True)
def setup_test_data(self, db_session_with_containers, file_service, workflow_run_service):
"""Set up test data for each test method using TestContainers."""
# Create test tenant and account
from models.account import Tenant, TenantAccountJoin, TenantAccountRole
tenant = Tenant(
name="Test Tenant",
status="normal",
)
db_session_with_containers.add(tenant)
db_session_with_containers.commit()
account = Account(
email="test@example.com",
name="Test User",
interface_language="en-US",
status="active",
)
db_session_with_containers.add(account)
db_session_with_containers.commit()
# Create tenant-account join
tenant_join = TenantAccountJoin(
tenant_id=tenant.id,
account_id=account.id,
role=TenantAccountRole.OWNER,
current=True,
)
db_session_with_containers.add(tenant_join)
db_session_with_containers.commit()
# Set test data
self.test_tenant_id = tenant.id
self.test_user_id = account.id
self.test_app_id = str(uuid.uuid4())
self.test_workflow_id = str(uuid.uuid4())
self.test_workflow_run_id = str(uuid.uuid4())
# Create test workflow
self.test_workflow = Workflow(
id=self.test_workflow_id,
tenant_id=self.test_tenant_id,
app_id=self.test_app_id,
type="workflow",
version="draft",
graph='{"nodes": [], "edges": []}',
features='{"file_upload": {"enabled": false}}',
created_by=self.test_user_id,
created_at=naive_utc_now(),
)
# Create test workflow run
self.test_workflow_run = WorkflowRun(
id=self.test_workflow_run_id,
tenant_id=self.test_tenant_id,
app_id=self.test_app_id,
workflow_id=self.test_workflow_id,
type="workflow",
triggered_from="debugging",
version="draft",
status=WorkflowExecutionStatus.RUNNING,
created_by=self.test_user_id,
created_by_role="account",
created_at=naive_utc_now(),
)
# Store session and service instances
self.session = db_session_with_containers
self.file_service = file_service
self.workflow_run_service = workflow_run_service
# Save test data to database
self.session.add(self.test_workflow)
self.session.add(self.test_workflow_run)
self.session.commit()
yield
# Cleanup
self._cleanup_test_data()
def _cleanup_test_data(self):
"""Clean up test data after each test method."""
try:
# Clean up workflow pauses
self.session.execute(delete(WorkflowPauseModel))
# Clean up upload files
self.session.execute(
delete(UploadFile).where(
UploadFile.tenant_id == self.test_tenant_id,
)
)
# Clean up workflow runs
self.session.execute(
delete(WorkflowRun).where(
WorkflowRun.tenant_id == self.test_tenant_id,
WorkflowRun.app_id == self.test_app_id,
)
)
# Clean up workflows
self.session.execute(
delete(Workflow).where(
Workflow.tenant_id == self.test_tenant_id,
Workflow.app_id == self.test_app_id,
)
)
self.session.commit()
except Exception as e:
self.session.rollback()
raise e
def _create_graph_runtime_state(
self,
outputs: dict[str, object] | None = None,
total_tokens: int = 0,
node_run_steps: int = 0,
variables: dict[tuple[str, str], object] | None = None,
workflow_run_id: str | None = None,
) -> ReadOnlyGraphRuntimeState:
"""Create a real GraphRuntimeState for testing."""
start_at = time()
execution_id = workflow_run_id or getattr(self, "test_workflow_run_id", None) or str(uuid.uuid4())
# Create variable pool
variable_pool = VariablePool(system_variables=SystemVariable(workflow_execution_id=execution_id))
if variables:
for (node_id, var_key), value in variables.items():
variable_pool.add([node_id, var_key], value)
# Create LLM usage
llm_usage = LLMUsage.empty_usage()
# Create graph runtime state
graph_runtime_state = GraphRuntimeState(
variable_pool=variable_pool,
start_at=start_at,
total_tokens=total_tokens,
llm_usage=llm_usage,
outputs=outputs or {},
node_run_steps=node_run_steps,
)
return ReadOnlyGraphRuntimeStateWrapper(graph_runtime_state)
def _create_pause_state_persistence_layer(
self,
workflow_run: WorkflowRun | None = None,
workflow: Workflow | None = None,
state_owner_user_id: str | None = None,
) -> PauseStatePersistenceLayer:
"""Create PauseStatePersistenceLayer with real dependencies."""
owner_id = state_owner_user_id
if owner_id is None:
if workflow is not None and workflow.created_by:
owner_id = workflow.created_by
elif workflow_run is not None and workflow_run.created_by:
owner_id = workflow_run.created_by
else:
owner_id = getattr(self, "test_user_id", None)
assert owner_id is not None
owner_id = str(owner_id)
return PauseStatePersistenceLayer(
session_factory=self.session.get_bind(),
state_owner_user_id=owner_id,
)
def test_complete_pause_flow_with_real_dependencies(self, db_session_with_containers):
"""Test complete pause flow: event -> state serialization -> database save -> storage save."""
# Arrange
layer = self._create_pause_state_persistence_layer()
# Create real graph runtime state with test data
test_outputs = {"result": "test_output", "step": "intermediate"}
test_variables = {
("node1", "var1"): "string_value",
("node2", "var2"): {"complex": "object"},
}
graph_runtime_state = self._create_graph_runtime_state(
outputs=test_outputs,
total_tokens=100,
node_run_steps=5,
variables=test_variables,
)
command_channel = _TestCommandChannelImpl()
layer.initialize(graph_runtime_state, command_channel)
# Create pause event
event = GraphRunPausedEvent(
reason=SchedulingPause(message="test pause"),
outputs={"intermediate": "result"},
)
# Act
layer.on_event(event)
# Assert - Verify pause state was saved to database
self.session.refresh(self.test_workflow_run)
workflow_run = self.session.get(WorkflowRun, self.test_workflow_run_id)
assert workflow_run is not None
assert workflow_run.status == WorkflowExecutionStatus.PAUSED
# Verify pause state exists in database
pause_model = self.session.scalars(
select(WorkflowPauseModel).where(WorkflowPauseModel.workflow_run_id == workflow_run.id)
).first()
assert pause_model is not None
assert pause_model.workflow_id == self.test_workflow_id
assert pause_model.workflow_run_id == self.test_workflow_run_id
assert pause_model.state_object_key != ""
assert pause_model.resumed_at is None
storage_content = storage.load(pause_model.state_object_key).decode()
expected_state = json.loads(graph_runtime_state.dumps())
actual_state = json.loads(storage_content)
assert actual_state == expected_state
def test_state_persistence_and_retrieval(self, db_session_with_containers):
"""Test that pause state can be persisted and retrieved correctly."""
# Arrange
layer = self._create_pause_state_persistence_layer()
# Create complex test data
complex_outputs = {
"nested": {"key": "value", "number": 42},
"list": [1, 2, 3, {"nested": "item"}],
"boolean": True,
"null_value": None,
}
complex_variables = {
("node1", "var1"): "string_value",
("node2", "var2"): {"complex": "object"},
("node3", "var3"): [1, 2, 3],
}
graph_runtime_state = self._create_graph_runtime_state(
outputs=complex_outputs,
total_tokens=250,
node_run_steps=10,
variables=complex_variables,
)
command_channel = _TestCommandChannelImpl()
layer.initialize(graph_runtime_state, command_channel)
event = GraphRunPausedEvent(reason=SchedulingPause(message="test pause"))
# Act - Save pause state
layer.on_event(event)
# Assert - Retrieve and verify
pause_entity = self.workflow_run_service._workflow_run_repo.get_workflow_pause(self.test_workflow_run_id)
assert pause_entity is not None
assert pause_entity.workflow_execution_id == self.test_workflow_run_id
state_bytes = pause_entity.get_state()
retrieved_state = json.loads(state_bytes.decode())
expected_state = json.loads(graph_runtime_state.dumps())
assert retrieved_state == expected_state
assert retrieved_state["outputs"] == complex_outputs
assert retrieved_state["total_tokens"] == 250
assert retrieved_state["node_run_steps"] == 10
def test_database_transaction_handling(self, db_session_with_containers):
"""Test that database transactions are handled correctly."""
# Arrange
layer = self._create_pause_state_persistence_layer()
graph_runtime_state = self._create_graph_runtime_state(
outputs={"test": "transaction"},
total_tokens=50,
)
command_channel = _TestCommandChannelImpl()
layer.initialize(graph_runtime_state, command_channel)
event = GraphRunPausedEvent(reason=SchedulingPause(message="test pause"))
# Act
layer.on_event(event)
# Assert - Verify data is committed and accessible in new session
with Session(bind=self.session.get_bind(), expire_on_commit=False) as new_session:
workflow_run = new_session.get(WorkflowRun, self.test_workflow_run_id)
assert workflow_run is not None
assert workflow_run.status == WorkflowExecutionStatus.PAUSED
pause_model = new_session.scalars(
select(WorkflowPauseModel).where(WorkflowPauseModel.workflow_run_id == workflow_run.id)
).first()
assert pause_model is not None
assert pause_model.workflow_run_id == self.test_workflow_run_id
assert pause_model.resumed_at is None
assert pause_model.state_object_key != ""
def test_file_storage_integration(self, db_session_with_containers):
"""Test integration with file storage system."""
# Arrange
layer = self._create_pause_state_persistence_layer()
# Create large state data to test storage
large_outputs = {"data": "x" * 10000} # 10KB of data
graph_runtime_state = self._create_graph_runtime_state(
outputs=large_outputs,
total_tokens=1000,
)
command_channel = _TestCommandChannelImpl()
layer.initialize(graph_runtime_state, command_channel)
event = GraphRunPausedEvent(reason=SchedulingPause(message="test pause"))
# Act
layer.on_event(event)
# Assert - Verify file was uploaded to storage
self.session.refresh(self.test_workflow_run)
pause_model = self.session.scalars(
select(WorkflowPauseModel).where(WorkflowPauseModel.workflow_run_id == self.test_workflow_run.id)
).first()
assert pause_model is not None
assert pause_model.state_object_key != ""
# Verify content in storage
storage_content = storage.load(pause_model.state_object_key).decode()
assert storage_content == graph_runtime_state.dumps()
def test_workflow_with_different_creators(self, db_session_with_containers):
"""Test pause state with workflows created by different users."""
# Arrange - Create workflow with different creator
different_user_id = str(uuid.uuid4())
different_workflow = Workflow(
id=str(uuid.uuid4()),
tenant_id=self.test_tenant_id,
app_id=self.test_app_id,
type="workflow",
version="draft",
graph='{"nodes": [], "edges": []}',
features='{"file_upload": {"enabled": false}}',
created_by=different_user_id,
created_at=naive_utc_now(),
)
different_workflow_run = WorkflowRun(
id=str(uuid.uuid4()),
tenant_id=self.test_tenant_id,
app_id=self.test_app_id,
workflow_id=different_workflow.id,
type="workflow",
triggered_from="debugging",
version="draft",
status=WorkflowExecutionStatus.RUNNING,
created_by=self.test_user_id, # Run created by different user
created_by_role="account",
created_at=naive_utc_now(),
)
self.session.add(different_workflow)
self.session.add(different_workflow_run)
self.session.commit()
layer = self._create_pause_state_persistence_layer(
workflow_run=different_workflow_run,
workflow=different_workflow,
)
graph_runtime_state = self._create_graph_runtime_state(
outputs={"creator_test": "different_creator"},
workflow_run_id=different_workflow_run.id,
)
command_channel = _TestCommandChannelImpl()
layer.initialize(graph_runtime_state, command_channel)
event = GraphRunPausedEvent(reason=SchedulingPause(message="test pause"))
# Act
layer.on_event(event)
# Assert - Should use workflow creator (not run creator)
self.session.refresh(different_workflow_run)
pause_model = self.session.scalars(
select(WorkflowPauseModel).where(WorkflowPauseModel.workflow_run_id == different_workflow_run.id)
).first()
assert pause_model is not None
# Verify the state owner is the workflow creator
pause_entity = self.workflow_run_service._workflow_run_repo.get_workflow_pause(different_workflow_run.id)
assert pause_entity is not None
def test_layer_ignores_non_pause_events(self, db_session_with_containers):
"""Test that layer ignores non-pause events."""
# Arrange
layer = self._create_pause_state_persistence_layer()
graph_runtime_state = self._create_graph_runtime_state()
command_channel = _TestCommandChannelImpl()
layer.initialize(graph_runtime_state, command_channel)
# Import other event types
from core.workflow.graph_events.graph import (
GraphRunFailedEvent,
GraphRunStartedEvent,
GraphRunSucceededEvent,
)
# Act - Send non-pause events
layer.on_event(GraphRunStartedEvent())
layer.on_event(GraphRunSucceededEvent(outputs={"result": "success"}))
layer.on_event(GraphRunFailedEvent(error="test error", exceptions_count=1))
# Assert - No pause state should be created
self.session.refresh(self.test_workflow_run)
assert self.test_workflow_run.status == WorkflowExecutionStatus.RUNNING
pause_states = (
self.session.query(WorkflowPauseModel)
.filter(WorkflowPauseModel.workflow_run_id == self.test_workflow_run_id)
.all()
)
assert len(pause_states) == 0
def test_layer_requires_initialization(self, db_session_with_containers):
"""Test that layer requires proper initialization before handling events."""
# Arrange
layer = self._create_pause_state_persistence_layer()
# Don't initialize - graph_runtime_state should not be set
event = GraphRunPausedEvent(reason=SchedulingPause(message="test pause"))
# Act & Assert - Should raise AttributeError
with pytest.raises(AttributeError):
layer.on_event(event)

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"""Comprehensive integration tests for workflow pause functionality.
This test suite covers complete workflow pause functionality including:
- Real database interactions using containerized PostgreSQL
- Real storage operations using the test storage backend
- Complete workflow: create -> pause -> resume -> delete
- Testing with actual FileService (not mocked)
- Database transactions and rollback behavior
- Actual file upload and retrieval through storage
- Workflow status transitions in the database
- Error handling with real database constraints
- Concurrent access scenarios
- Multi-tenant isolation
- Prune functionality
- File storage integration
These tests use TestContainers to spin up real services for integration testing,
providing more reliable and realistic test scenarios than mocks.
"""
import json
import uuid
from dataclasses import dataclass
from datetime import timedelta
import pytest
from sqlalchemy import delete, select
from sqlalchemy.orm import Session, selectinload, sessionmaker
from core.workflow.entities import WorkflowExecution
from core.workflow.enums import WorkflowExecutionStatus
from extensions.ext_storage import storage
from libs.datetime_utils import naive_utc_now
from models import Account
from models import WorkflowPause as WorkflowPauseModel
from models.account import Tenant, TenantAccountJoin, TenantAccountRole
from models.model import UploadFile
from models.workflow import Workflow, WorkflowRun
from repositories.sqlalchemy_api_workflow_run_repository import (
DifyAPISQLAlchemyWorkflowRunRepository,
_WorkflowRunError,
)
@dataclass
class PauseWorkflowSuccessCase:
"""Test case for successful pause workflow operations."""
name: str
initial_status: WorkflowExecutionStatus
description: str = ""
@dataclass
class PauseWorkflowFailureCase:
"""Test case for pause workflow failure scenarios."""
name: str
initial_status: WorkflowExecutionStatus
description: str = ""
@dataclass
class ResumeWorkflowSuccessCase:
"""Test case for successful resume workflow operations."""
name: str
initial_status: WorkflowExecutionStatus
description: str = ""
@dataclass
class ResumeWorkflowFailureCase:
"""Test case for resume workflow failure scenarios."""
name: str
initial_status: WorkflowExecutionStatus
pause_resumed: bool
set_running_status: bool = False
description: str = ""
@dataclass
class PrunePausesTestCase:
"""Test case for prune pauses operations."""
name: str
pause_age: timedelta
resume_age: timedelta | None
expected_pruned_count: int
description: str = ""
def pause_workflow_failure_cases() -> list[PauseWorkflowFailureCase]:
"""Create test cases for pause workflow failure scenarios."""
return [
PauseWorkflowFailureCase(
name="pause_already_paused_workflow",
initial_status=WorkflowExecutionStatus.PAUSED,
description="Should fail to pause an already paused workflow",
),
PauseWorkflowFailureCase(
name="pause_completed_workflow",
initial_status=WorkflowExecutionStatus.SUCCEEDED,
description="Should fail to pause a completed workflow",
),
PauseWorkflowFailureCase(
name="pause_failed_workflow",
initial_status=WorkflowExecutionStatus.FAILED,
description="Should fail to pause a failed workflow",
),
]
def resume_workflow_success_cases() -> list[ResumeWorkflowSuccessCase]:
"""Create test cases for successful resume workflow operations."""
return [
ResumeWorkflowSuccessCase(
name="resume_paused_workflow",
initial_status=WorkflowExecutionStatus.PAUSED,
description="Should successfully resume a paused workflow",
),
]
def resume_workflow_failure_cases() -> list[ResumeWorkflowFailureCase]:
"""Create test cases for resume workflow failure scenarios."""
return [
ResumeWorkflowFailureCase(
name="resume_already_resumed_workflow",
initial_status=WorkflowExecutionStatus.PAUSED,
pause_resumed=True,
description="Should fail to resume an already resumed workflow",
),
ResumeWorkflowFailureCase(
name="resume_running_workflow",
initial_status=WorkflowExecutionStatus.RUNNING,
pause_resumed=False,
set_running_status=True,
description="Should fail to resume a running workflow",
),
]
def prune_pauses_test_cases() -> list[PrunePausesTestCase]:
"""Create test cases for prune pauses operations."""
return [
PrunePausesTestCase(
name="prune_old_active_pauses",
pause_age=timedelta(days=7),
resume_age=None,
expected_pruned_count=1,
description="Should prune old active pauses",
),
PrunePausesTestCase(
name="prune_old_resumed_pauses",
pause_age=timedelta(hours=12), # Created 12 hours ago (recent)
resume_age=timedelta(days=7),
expected_pruned_count=1,
description="Should prune old resumed pauses",
),
PrunePausesTestCase(
name="keep_recent_active_pauses",
pause_age=timedelta(hours=1),
resume_age=None,
expected_pruned_count=0,
description="Should keep recent active pauses",
),
PrunePausesTestCase(
name="keep_recent_resumed_pauses",
pause_age=timedelta(days=1),
resume_age=timedelta(hours=1),
expected_pruned_count=0,
description="Should keep recent resumed pauses",
),
]
class TestWorkflowPauseIntegration:
"""Comprehensive integration tests for workflow pause functionality."""
@pytest.fixture(autouse=True)
def setup_test_data(self, db_session_with_containers):
"""Set up test data for each test method using TestContainers."""
# Create test tenant and account
tenant = Tenant(
name="Test Tenant",
status="normal",
)
db_session_with_containers.add(tenant)
db_session_with_containers.commit()
account = Account(
email="test@example.com",
name="Test User",
interface_language="en-US",
status="active",
)
db_session_with_containers.add(account)
db_session_with_containers.commit()
# Create tenant-account join
tenant_join = TenantAccountJoin(
tenant_id=tenant.id,
account_id=account.id,
role=TenantAccountRole.OWNER,
current=True,
)
db_session_with_containers.add(tenant_join)
db_session_with_containers.commit()
# Set test data
self.test_tenant_id = tenant.id
self.test_user_id = account.id
self.test_app_id = str(uuid.uuid4())
self.test_workflow_id = str(uuid.uuid4())
# Create test workflow
self.test_workflow = Workflow(
id=self.test_workflow_id,
tenant_id=self.test_tenant_id,
app_id=self.test_app_id,
type="workflow",
version="draft",
graph='{"nodes": [], "edges": []}',
features='{"file_upload": {"enabled": false}}',
created_by=self.test_user_id,
created_at=naive_utc_now(),
)
# Store session instance
self.session = db_session_with_containers
# Save test data to database
self.session.add(self.test_workflow)
self.session.commit()
yield
# Cleanup
self._cleanup_test_data()
def _cleanup_test_data(self):
"""Clean up test data after each test method."""
# Clean up workflow pauses
self.session.execute(delete(WorkflowPauseModel))
# Clean up upload files
self.session.execute(
delete(UploadFile).where(
UploadFile.tenant_id == self.test_tenant_id,
)
)
# Clean up workflow runs
self.session.execute(
delete(WorkflowRun).where(
WorkflowRun.tenant_id == self.test_tenant_id,
WorkflowRun.app_id == self.test_app_id,
)
)
# Clean up workflows
self.session.execute(
delete(Workflow).where(
Workflow.tenant_id == self.test_tenant_id,
Workflow.app_id == self.test_app_id,
)
)
self.session.commit()
def _create_test_workflow_run(
self, status: WorkflowExecutionStatus = WorkflowExecutionStatus.RUNNING
) -> WorkflowRun:
"""Create a test workflow run with specified status."""
workflow_run = WorkflowRun(
id=str(uuid.uuid4()),
tenant_id=self.test_tenant_id,
app_id=self.test_app_id,
workflow_id=self.test_workflow_id,
type="workflow",
triggered_from="debugging",
version="draft",
status=status,
created_by=self.test_user_id,
created_by_role="account",
created_at=naive_utc_now(),
)
self.session.add(workflow_run)
self.session.commit()
return workflow_run
def _create_test_state(self) -> str:
"""Create a test state string."""
return json.dumps(
{
"node_id": "test-node",
"node_type": "llm",
"status": "paused",
"data": {"key": "value"},
"timestamp": naive_utc_now().isoformat(),
}
)
def _get_workflow_run_repository(self):
"""Get workflow run repository instance for testing."""
# Create session factory from the test session
engine = self.session.get_bind()
session_factory = sessionmaker(bind=engine, expire_on_commit=False)
# Create a test-specific repository that implements the missing save method
class TestWorkflowRunRepository(DifyAPISQLAlchemyWorkflowRunRepository):
"""Test-specific repository that implements the missing save method."""
def save(self, execution: WorkflowExecution):
"""Implement the missing save method for testing."""
# For testing purposes, we don't need to implement this method
# as it's not used in the pause functionality tests
pass
# Create and return repository instance
repository = TestWorkflowRunRepository(session_maker=session_factory)
return repository
# ==================== Complete Pause Workflow Tests ====================
def test_complete_pause_resume_workflow(self):
"""Test complete workflow: create -> pause -> resume -> delete."""
# Arrange
workflow_run = self._create_test_workflow_run()
test_state = self._create_test_state()
repository = self._get_workflow_run_repository()
# Act - Create pause state
pause_entity = repository.create_workflow_pause(
workflow_run_id=workflow_run.id,
state_owner_user_id=self.test_user_id,
state=test_state,
)
# Assert - Pause state created
assert pause_entity is not None
assert pause_entity.id is not None
assert pause_entity.workflow_execution_id == workflow_run.id
# Convert both to strings for comparison
retrieved_state = pause_entity.get_state()
if isinstance(retrieved_state, bytes):
retrieved_state = retrieved_state.decode()
assert retrieved_state == test_state
# Verify database state
query = select(WorkflowPauseModel).where(WorkflowPauseModel.workflow_run_id == workflow_run.id)
pause_model = self.session.scalars(query).first()
assert pause_model is not None
assert pause_model.resumed_at is None
assert pause_model.id == pause_entity.id
self.session.refresh(workflow_run)
assert workflow_run.status == WorkflowExecutionStatus.PAUSED
# Act - Get pause state
retrieved_entity = repository.get_workflow_pause(workflow_run.id)
# Assert - Pause state retrieved
assert retrieved_entity is not None
assert retrieved_entity.id == pause_entity.id
retrieved_state = retrieved_entity.get_state()
if isinstance(retrieved_state, bytes):
retrieved_state = retrieved_state.decode()
assert retrieved_state == test_state
# Act - Resume workflow
resumed_entity = repository.resume_workflow_pause(
workflow_run_id=workflow_run.id,
pause_entity=pause_entity,
)
# Assert - Workflow resumed
assert resumed_entity is not None
assert resumed_entity.id == pause_entity.id
assert resumed_entity.resumed_at is not None
# Verify database state
self.session.refresh(workflow_run)
assert workflow_run.status == WorkflowExecutionStatus.RUNNING
self.session.refresh(pause_model)
assert pause_model.resumed_at is not None
# Act - Delete pause state
repository.delete_workflow_pause(pause_entity)
# Assert - Pause state deleted
with Session(bind=self.session.get_bind()) as session:
deleted_pause = session.get(WorkflowPauseModel, pause_entity.id)
assert deleted_pause is None
def test_pause_workflow_success(self):
"""Test successful pause workflow scenarios."""
workflow_run = self._create_test_workflow_run(status=WorkflowExecutionStatus.RUNNING)
test_state = self._create_test_state()
repository = self._get_workflow_run_repository()
pause_entity = repository.create_workflow_pause(
workflow_run_id=workflow_run.id,
state_owner_user_id=self.test_user_id,
state=test_state,
)
assert pause_entity is not None
assert pause_entity.workflow_execution_id == workflow_run.id
retrieved_state = pause_entity.get_state()
if isinstance(retrieved_state, bytes):
retrieved_state = retrieved_state.decode()
assert retrieved_state == test_state
self.session.refresh(workflow_run)
assert workflow_run.status == WorkflowExecutionStatus.PAUSED
pause_query = select(WorkflowPauseModel).where(WorkflowPauseModel.workflow_run_id == workflow_run.id)
pause_model = self.session.scalars(pause_query).first()
assert pause_model is not None
assert pause_model.id == pause_entity.id
assert pause_model.resumed_at is None
@pytest.mark.parametrize("test_case", pause_workflow_failure_cases(), ids=lambda tc: tc.name)
def test_pause_workflow_failure(self, test_case: PauseWorkflowFailureCase):
"""Test pause workflow failure scenarios."""
workflow_run = self._create_test_workflow_run(status=test_case.initial_status)
test_state = self._create_test_state()
repository = self._get_workflow_run_repository()
with pytest.raises(_WorkflowRunError):
repository.create_workflow_pause(
workflow_run_id=workflow_run.id,
state_owner_user_id=self.test_user_id,
state=test_state,
)
@pytest.mark.parametrize("test_case", resume_workflow_success_cases(), ids=lambda tc: tc.name)
def test_resume_workflow_success(self, test_case: ResumeWorkflowSuccessCase):
"""Test successful resume workflow scenarios."""
workflow_run = self._create_test_workflow_run(status=test_case.initial_status)
test_state = self._create_test_state()
repository = self._get_workflow_run_repository()
if workflow_run.status != WorkflowExecutionStatus.RUNNING:
workflow_run.status = WorkflowExecutionStatus.RUNNING
self.session.commit()
pause_entity = repository.create_workflow_pause(
workflow_run_id=workflow_run.id,
state_owner_user_id=self.test_user_id,
state=test_state,
)
self.session.refresh(workflow_run)
assert workflow_run.status == WorkflowExecutionStatus.PAUSED
resumed_entity = repository.resume_workflow_pause(
workflow_run_id=workflow_run.id,
pause_entity=pause_entity,
)
assert resumed_entity is not None
assert resumed_entity.id == pause_entity.id
assert resumed_entity.resumed_at is not None
self.session.refresh(workflow_run)
assert workflow_run.status == WorkflowExecutionStatus.RUNNING
pause_query = select(WorkflowPauseModel).where(WorkflowPauseModel.workflow_run_id == workflow_run.id)
pause_model = self.session.scalars(pause_query).first()
assert pause_model is not None
assert pause_model.id == pause_entity.id
assert pause_model.resumed_at is not None
def test_resume_running_workflow(self):
"""Test resume workflow failure scenarios."""
workflow_run = self._create_test_workflow_run(status=WorkflowExecutionStatus.RUNNING)
test_state = self._create_test_state()
repository = self._get_workflow_run_repository()
pause_entity = repository.create_workflow_pause(
workflow_run_id=workflow_run.id,
state_owner_user_id=self.test_user_id,
state=test_state,
)
self.session.refresh(workflow_run)
workflow_run.status = WorkflowExecutionStatus.RUNNING
self.session.add(workflow_run)
self.session.commit()
with pytest.raises(_WorkflowRunError):
repository.resume_workflow_pause(
workflow_run_id=workflow_run.id,
pause_entity=pause_entity,
)
def test_resume_resumed_pause(self):
"""Test resume workflow failure scenarios."""
workflow_run = self._create_test_workflow_run(status=WorkflowExecutionStatus.RUNNING)
test_state = self._create_test_state()
repository = self._get_workflow_run_repository()
pause_entity = repository.create_workflow_pause(
workflow_run_id=workflow_run.id,
state_owner_user_id=self.test_user_id,
state=test_state,
)
pause_model = self.session.get(WorkflowPauseModel, pause_entity.id)
pause_model.resumed_at = naive_utc_now()
self.session.add(pause_model)
self.session.commit()
with pytest.raises(_WorkflowRunError):
repository.resume_workflow_pause(
workflow_run_id=workflow_run.id,
pause_entity=pause_entity,
)
# ==================== Error Scenario Tests ====================
def test_pause_nonexistent_workflow_run(self):
"""Test pausing a non-existent workflow run."""
# Arrange
nonexistent_id = str(uuid.uuid4())
test_state = self._create_test_state()
repository = self._get_workflow_run_repository()
# Act & Assert
with pytest.raises(ValueError, match="WorkflowRun not found"):
repository.create_workflow_pause(
workflow_run_id=nonexistent_id,
state_owner_user_id=self.test_user_id,
state=test_state,
)
def test_resume_nonexistent_workflow_run(self):
"""Test resuming a non-existent workflow run."""
# Arrange
workflow_run = self._create_test_workflow_run()
test_state = self._create_test_state()
repository = self._get_workflow_run_repository()
pause_entity = repository.create_workflow_pause(
workflow_run_id=workflow_run.id,
state_owner_user_id=self.test_user_id,
state=test_state,
)
nonexistent_id = str(uuid.uuid4())
# Act & Assert
with pytest.raises(ValueError, match="WorkflowRun not found"):
repository.resume_workflow_pause(
workflow_run_id=nonexistent_id,
pause_entity=pause_entity,
)
# ==================== Prune Functionality Tests ====================
@pytest.mark.parametrize("test_case", prune_pauses_test_cases(), ids=lambda tc: tc.name)
def test_prune_pauses_scenarios(self, test_case: PrunePausesTestCase):
"""Test various prune pauses scenarios."""
now = naive_utc_now()
# Create pause state
workflow_run = self._create_test_workflow_run()
test_state = self._create_test_state()
repository = self._get_workflow_run_repository()
pause_entity = repository.create_workflow_pause(
workflow_run_id=workflow_run.id,
state_owner_user_id=self.test_user_id,
state=test_state,
)
# Manually adjust timestamps for testing
pause_model = self.session.get(WorkflowPauseModel, pause_entity.id)
pause_model.created_at = now - test_case.pause_age
if test_case.resume_age is not None:
# Resume pause and adjust resume time
repository.resume_workflow_pause(
workflow_run_id=workflow_run.id,
pause_entity=pause_entity,
)
# Need to refresh to get the updated model
self.session.refresh(pause_model)
# Manually set the resumed_at to an older time for testing
pause_model.resumed_at = now - test_case.resume_age
self.session.commit() # Commit the resumed_at change
# Refresh again to ensure the change is persisted
self.session.refresh(pause_model)
self.session.commit()
# Act - Prune pauses
expiration_time = now - timedelta(days=1, seconds=1) # Expire pauses older than 1 day (plus 1 second)
resumption_time = now - timedelta(
days=7, seconds=1
) # Clean up pauses resumed more than 7 days ago (plus 1 second)
# Debug: Check pause state before pruning
self.session.refresh(pause_model)
print(f"Pause created_at: {pause_model.created_at}")
print(f"Pause resumed_at: {pause_model.resumed_at}")
print(f"Expiration time: {expiration_time}")
print(f"Resumption time: {resumption_time}")
# Force commit to ensure timestamps are saved
self.session.commit()
# Determine if the pause should be pruned based on timestamps
should_be_pruned = False
if test_case.resume_age is not None:
# If resumed, check if resumed_at is older than resumption_time
should_be_pruned = pause_model.resumed_at < resumption_time
else:
# If not resumed, check if created_at is older than expiration_time
should_be_pruned = pause_model.created_at < expiration_time
# Act - Prune pauses
pruned_ids = repository.prune_pauses(
expiration=expiration_time,
resumption_expiration=resumption_time,
)
# Assert - Check pruning results
if should_be_pruned:
assert len(pruned_ids) == test_case.expected_pruned_count
# Verify pause was actually deleted
# The pause should be in the pruned_ids list if it was pruned
assert pause_entity.id in pruned_ids
else:
assert len(pruned_ids) == 0
def test_prune_pauses_with_limit(self):
"""Test prune pauses with limit parameter."""
now = naive_utc_now()
# Create multiple pause states
pause_entities = []
repository = self._get_workflow_run_repository()
for i in range(5):
workflow_run = self._create_test_workflow_run()
test_state = self._create_test_state()
pause_entity = repository.create_workflow_pause(
workflow_run_id=workflow_run.id,
state_owner_user_id=self.test_user_id,
state=test_state,
)
pause_entities.append(pause_entity)
# Make all pauses old enough to be pruned
pause_model = self.session.get(WorkflowPauseModel, pause_entity.id)
pause_model.created_at = now - timedelta(days=7)
self.session.commit()
# Act - Prune with limit
expiration_time = now - timedelta(days=1)
resumption_time = now - timedelta(days=7)
pruned_ids = repository.prune_pauses(
expiration=expiration_time,
resumption_expiration=resumption_time,
limit=3,
)
# Assert
assert len(pruned_ids) == 3
# Verify only 3 were deleted
remaining_count = (
self.session.query(WorkflowPauseModel)
.filter(WorkflowPauseModel.id.in_([pe.id for pe in pause_entities]))
.count()
)
assert remaining_count == 2
# ==================== Multi-tenant Isolation Tests ====================
def test_multi_tenant_pause_isolation(self):
"""Test that pause states are properly isolated by tenant."""
# Arrange - Create second tenant
tenant2 = Tenant(
name="Test Tenant 2",
status="normal",
)
self.session.add(tenant2)
self.session.commit()
account2 = Account(
email="test2@example.com",
name="Test User 2",
interface_language="en-US",
status="active",
)
self.session.add(account2)
self.session.commit()
tenant2_join = TenantAccountJoin(
tenant_id=tenant2.id,
account_id=account2.id,
role=TenantAccountRole.OWNER,
current=True,
)
self.session.add(tenant2_join)
self.session.commit()
# Create workflow for tenant 2
workflow2 = Workflow(
id=str(uuid.uuid4()),
tenant_id=tenant2.id,
app_id=str(uuid.uuid4()),
type="workflow",
version="draft",
graph='{"nodes": [], "edges": []}',
features='{"file_upload": {"enabled": false}}',
created_by=account2.id,
created_at=naive_utc_now(),
)
self.session.add(workflow2)
self.session.commit()
# Create workflow runs for both tenants
workflow_run1 = self._create_test_workflow_run()
workflow_run2 = WorkflowRun(
id=str(uuid.uuid4()),
tenant_id=tenant2.id,
app_id=workflow2.app_id,
workflow_id=workflow2.id,
type="workflow",
triggered_from="debugging",
version="draft",
status=WorkflowExecutionStatus.RUNNING,
created_by=account2.id,
created_by_role="account",
created_at=naive_utc_now(),
)
self.session.add(workflow_run2)
self.session.commit()
test_state = self._create_test_state()
repository = self._get_workflow_run_repository()
# Act - Create pause for tenant 1
pause_entity1 = repository.create_workflow_pause(
workflow_run_id=workflow_run1.id,
state_owner_user_id=self.test_user_id,
state=test_state,
)
# Try to access pause from tenant 2 using tenant 1's repository
# This should work because we're using the same repository
pause_entity2 = repository.get_workflow_pause(workflow_run2.id)
assert pause_entity2 is None # No pause for tenant 2 yet
# Create pause for tenant 2
pause_entity2 = repository.create_workflow_pause(
workflow_run_id=workflow_run2.id,
state_owner_user_id=account2.id,
state=test_state,
)
# Assert - Both pauses should exist and be separate
assert pause_entity1 is not None
assert pause_entity2 is not None
assert pause_entity1.id != pause_entity2.id
assert pause_entity1.workflow_execution_id != pause_entity2.workflow_execution_id
def test_cross_tenant_access_restriction(self):
"""Test that cross-tenant access is properly restricted."""
# This test would require tenant-specific repositories
# For now, we test that pause entities are properly scoped by tenant_id
workflow_run = self._create_test_workflow_run()
test_state = self._create_test_state()
repository = self._get_workflow_run_repository()
pause_entity = repository.create_workflow_pause(
workflow_run_id=workflow_run.id,
state_owner_user_id=self.test_user_id,
state=test_state,
)
# Verify pause is properly scoped
pause_model = self.session.get(WorkflowPauseModel, pause_entity.id)
assert pause_model.workflow_id == self.test_workflow_id
# ==================== File Storage Integration Tests ====================
def test_file_storage_integration(self):
"""Test that state files are properly stored and retrieved."""
# Arrange
workflow_run = self._create_test_workflow_run()
test_state = self._create_test_state()
repository = self._get_workflow_run_repository()
# Act - Create pause state
pause_entity = repository.create_workflow_pause(
workflow_run_id=workflow_run.id,
state_owner_user_id=self.test_user_id,
state=test_state,
)
# Assert - Verify file was uploaded to storage
pause_model = self.session.get(WorkflowPauseModel, pause_entity.id)
assert pause_model.state_object_key != ""
# Verify file content in storage
file_key = pause_model.state_object_key
storage_content = storage.load(file_key).decode()
assert storage_content == test_state
# Verify retrieval through entity
retrieved_state = pause_entity.get_state()
if isinstance(retrieved_state, bytes):
retrieved_state = retrieved_state.decode()
assert retrieved_state == test_state
def test_file_cleanup_on_pause_deletion(self):
"""Test that files are properly handled on pause deletion."""
# Arrange
workflow_run = self._create_test_workflow_run()
test_state = self._create_test_state()
repository = self._get_workflow_run_repository()
pause_entity = repository.create_workflow_pause(
workflow_run_id=workflow_run.id,
state_owner_user_id=self.test_user_id,
state=test_state,
)
# Get file info before deletion
pause_model = self.session.get(WorkflowPauseModel, pause_entity.id)
file_key = pause_model.state_object_key
# Act - Delete pause state
repository.delete_workflow_pause(pause_entity)
# Assert - Pause record should be deleted
self.session.expire_all() # Clear session to ensure fresh query
deleted_pause = self.session.get(WorkflowPauseModel, pause_entity.id)
assert deleted_pause is None
try:
content = storage.load(file_key).decode()
pytest.fail("File should be deleted from storage after pause deletion")
except FileNotFoundError:
# This is expected - file should be deleted from storage
pass
except Exception as e:
pytest.fail(f"Unexpected error when checking file deletion: {e}")
def test_large_state_file_handling(self):
"""Test handling of large state files."""
# Arrange - Create a large state (1MB)
large_state = "x" * (1024 * 1024) # 1MB of data
large_state_json = json.dumps({"large_data": large_state})
workflow_run = self._create_test_workflow_run()
repository = self._get_workflow_run_repository()
# Act
pause_entity = repository.create_workflow_pause(
workflow_run_id=workflow_run.id,
state_owner_user_id=self.test_user_id,
state=large_state_json,
)
# Assert
assert pause_entity is not None
retrieved_state = pause_entity.get_state()
if isinstance(retrieved_state, bytes):
retrieved_state = retrieved_state.decode()
assert retrieved_state == large_state_json
# Verify file size in database
pause_model = self.session.get(WorkflowPauseModel, pause_entity.id)
assert pause_model.state_object_key != ""
loaded_state = storage.load(pause_model.state_object_key)
assert loaded_state.decode() == large_state_json
def test_multiple_pause_resume_cycles(self):
"""Test multiple pause/resume cycles on the same workflow run."""
# Arrange
workflow_run = self._create_test_workflow_run()
repository = self._get_workflow_run_repository()
# Act & Assert - Multiple cycles
for i in range(3):
state = json.dumps({"cycle": i, "data": f"state_{i}"})
# Reset workflow run status to RUNNING before each pause (after first cycle)
if i > 0:
self.session.refresh(workflow_run) # Refresh to get latest state from session
workflow_run.status = WorkflowExecutionStatus.RUNNING
self.session.commit()
self.session.refresh(workflow_run) # Refresh again after commit
# Pause
pause_entity = repository.create_workflow_pause(
workflow_run_id=workflow_run.id,
state_owner_user_id=self.test_user_id,
state=state,
)
assert pause_entity is not None
# Verify pause
self.session.expire_all() # Clear session to ensure fresh query
self.session.refresh(workflow_run)
# Use the test session directly to verify the pause
stmt = select(WorkflowRun).options(selectinload(WorkflowRun.pause)).where(WorkflowRun.id == workflow_run.id)
workflow_run_with_pause = self.session.scalar(stmt)
pause_model = workflow_run_with_pause.pause
# Verify pause using test session directly
assert pause_model is not None
assert pause_model.id == pause_entity.id
assert pause_model.state_object_key != ""
# Load file content using storage directly
file_content = storage.load(pause_model.state_object_key)
if isinstance(file_content, bytes):
file_content = file_content.decode()
assert file_content == state
# Resume
resumed_entity = repository.resume_workflow_pause(
workflow_run_id=workflow_run.id,
pause_entity=pause_entity,
)
assert resumed_entity is not None
assert resumed_entity.resumed_at is not None
# Verify resume - check that pause is marked as resumed
self.session.expire_all() # Clear session to ensure fresh query
stmt = select(WorkflowPauseModel).where(WorkflowPauseModel.id == pause_entity.id)
resumed_pause_model = self.session.scalar(stmt)
assert resumed_pause_model is not None
assert resumed_pause_model.resumed_at is not None
# Verify workflow run status
self.session.refresh(workflow_run)
assert workflow_run.status == WorkflowExecutionStatus.RUNNING

View File

@ -0,0 +1,278 @@
import json
from time import time
from unittest.mock import Mock
import pytest
from core.app.layers.pause_state_persist_layer import PauseStatePersistenceLayer
from core.variables.segments import Segment
from core.workflow.entities.pause_reason import SchedulingPause
from core.workflow.graph_engine.entities.commands import GraphEngineCommand
from core.workflow.graph_events.graph import (
GraphRunFailedEvent,
GraphRunPausedEvent,
GraphRunStartedEvent,
GraphRunSucceededEvent,
)
from core.workflow.runtime.graph_runtime_state_protocol import ReadOnlyVariablePool
from repositories.factory import DifyAPIRepositoryFactory
class TestDataFactory:
"""Factory helpers for constructing graph events used in tests."""
@staticmethod
def create_graph_run_paused_event(outputs: dict[str, object] | None = None) -> GraphRunPausedEvent:
return GraphRunPausedEvent(reason=SchedulingPause(message="test pause"), outputs=outputs or {})
@staticmethod
def create_graph_run_started_event() -> GraphRunStartedEvent:
return GraphRunStartedEvent()
@staticmethod
def create_graph_run_succeeded_event(outputs: dict[str, object] | None = None) -> GraphRunSucceededEvent:
return GraphRunSucceededEvent(outputs=outputs or {})
@staticmethod
def create_graph_run_failed_event(
error: str = "Test error",
exceptions_count: int = 1,
) -> GraphRunFailedEvent:
return GraphRunFailedEvent(error=error, exceptions_count=exceptions_count)
class MockSystemVariableReadOnlyView:
"""Minimal read-only system variable view for testing."""
def __init__(self, workflow_execution_id: str | None = None) -> None:
self._workflow_execution_id = workflow_execution_id
@property
def workflow_execution_id(self) -> str | None:
return self._workflow_execution_id
class MockReadOnlyVariablePool:
"""Mock implementation of ReadOnlyVariablePool for testing."""
def __init__(self, variables: dict[tuple[str, str], object] | None = None):
self._variables = variables or {}
def get(self, node_id: str, variable_key: str) -> Segment | None:
value = self._variables.get((node_id, variable_key))
if value is None:
return None
mock_segment = Mock(spec=Segment)
mock_segment.value = value
return mock_segment
def get_all_by_node(self, node_id: str) -> dict[str, object]:
return {key: value for (nid, key), value in self._variables.items() if nid == node_id}
def get_by_prefix(self, prefix: str) -> dict[str, object]:
return {f"{nid}.{key}": value for (nid, key), value in self._variables.items() if nid.startswith(prefix)}
class MockReadOnlyGraphRuntimeState:
"""Mock implementation of ReadOnlyGraphRuntimeState for testing."""
def __init__(
self,
start_at: float | None = None,
total_tokens: int = 0,
node_run_steps: int = 0,
ready_queue_size: int = 0,
exceptions_count: int = 0,
outputs: dict[str, object] | None = None,
variables: dict[tuple[str, str], object] | None = None,
workflow_execution_id: str | None = None,
):
self._start_at = start_at or time()
self._total_tokens = total_tokens
self._node_run_steps = node_run_steps
self._ready_queue_size = ready_queue_size
self._exceptions_count = exceptions_count
self._outputs = outputs or {}
self._variable_pool = MockReadOnlyVariablePool(variables)
self._system_variable = MockSystemVariableReadOnlyView(workflow_execution_id)
@property
def system_variable(self) -> MockSystemVariableReadOnlyView:
return self._system_variable
@property
def variable_pool(self) -> ReadOnlyVariablePool:
return self._variable_pool
@property
def start_at(self) -> float:
return self._start_at
@property
def total_tokens(self) -> int:
return self._total_tokens
@property
def node_run_steps(self) -> int:
return self._node_run_steps
@property
def ready_queue_size(self) -> int:
return self._ready_queue_size
@property
def exceptions_count(self) -> int:
return self._exceptions_count
@property
def outputs(self) -> dict[str, object]:
return self._outputs.copy()
@property
def llm_usage(self):
mock_usage = Mock()
mock_usage.prompt_tokens = 10
mock_usage.completion_tokens = 20
mock_usage.total_tokens = 30
return mock_usage
def get_output(self, key: str, default: object = None) -> object:
return self._outputs.get(key, default)
def dumps(self) -> str:
return json.dumps(
{
"start_at": self._start_at,
"total_tokens": self._total_tokens,
"node_run_steps": self._node_run_steps,
"ready_queue_size": self._ready_queue_size,
"exceptions_count": self._exceptions_count,
"outputs": self._outputs,
"variables": {f"{k[0]}.{k[1]}": v for k, v in self._variable_pool._variables.items()},
"workflow_execution_id": self._system_variable.workflow_execution_id,
}
)
class MockCommandChannel:
"""Mock implementation of CommandChannel for testing."""
def __init__(self):
self._commands: list[GraphEngineCommand] = []
def fetch_commands(self) -> list[GraphEngineCommand]:
return self._commands.copy()
def send_command(self, command: GraphEngineCommand) -> None:
self._commands.append(command)
class TestPauseStatePersistenceLayer:
"""Unit tests for PauseStatePersistenceLayer."""
def test_init_with_dependency_injection(self):
session_factory = Mock(name="session_factory")
state_owner_user_id = "user-123"
layer = PauseStatePersistenceLayer(
session_factory=session_factory,
state_owner_user_id=state_owner_user_id,
)
assert layer._session_maker is session_factory
assert layer._state_owner_user_id == state_owner_user_id
assert not hasattr(layer, "graph_runtime_state")
assert not hasattr(layer, "command_channel")
def test_initialize_sets_dependencies(self):
session_factory = Mock(name="session_factory")
layer = PauseStatePersistenceLayer(session_factory=session_factory, state_owner_user_id="owner")
graph_runtime_state = MockReadOnlyGraphRuntimeState()
command_channel = MockCommandChannel()
layer.initialize(graph_runtime_state, command_channel)
assert layer.graph_runtime_state is graph_runtime_state
assert layer.command_channel is command_channel
def test_on_event_with_graph_run_paused_event(self, monkeypatch: pytest.MonkeyPatch):
session_factory = Mock(name="session_factory")
layer = PauseStatePersistenceLayer(session_factory=session_factory, state_owner_user_id="owner-123")
mock_repo = Mock()
mock_factory = Mock(return_value=mock_repo)
monkeypatch.setattr(DifyAPIRepositoryFactory, "create_api_workflow_run_repository", mock_factory)
graph_runtime_state = MockReadOnlyGraphRuntimeState(
outputs={"result": "test_output"},
total_tokens=100,
workflow_execution_id="run-123",
)
command_channel = MockCommandChannel()
layer.initialize(graph_runtime_state, command_channel)
event = TestDataFactory.create_graph_run_paused_event(outputs={"intermediate": "result"})
expected_state = graph_runtime_state.dumps()
layer.on_event(event)
mock_factory.assert_called_once_with(session_factory)
mock_repo.create_workflow_pause.assert_called_once_with(
workflow_run_id="run-123",
state_owner_user_id="owner-123",
state=expected_state,
)
def test_on_event_ignores_non_paused_events(self, monkeypatch: pytest.MonkeyPatch):
session_factory = Mock(name="session_factory")
layer = PauseStatePersistenceLayer(session_factory=session_factory, state_owner_user_id="owner-123")
mock_repo = Mock()
mock_factory = Mock(return_value=mock_repo)
monkeypatch.setattr(DifyAPIRepositoryFactory, "create_api_workflow_run_repository", mock_factory)
graph_runtime_state = MockReadOnlyGraphRuntimeState()
command_channel = MockCommandChannel()
layer.initialize(graph_runtime_state, command_channel)
events = [
TestDataFactory.create_graph_run_started_event(),
TestDataFactory.create_graph_run_succeeded_event(),
TestDataFactory.create_graph_run_failed_event(),
]
for event in events:
layer.on_event(event)
mock_factory.assert_not_called()
mock_repo.create_workflow_pause.assert_not_called()
def test_on_event_raises_attribute_error_when_graph_runtime_state_is_none(self):
session_factory = Mock(name="session_factory")
layer = PauseStatePersistenceLayer(session_factory=session_factory, state_owner_user_id="owner-123")
event = TestDataFactory.create_graph_run_paused_event()
with pytest.raises(AttributeError):
layer.on_event(event)
def test_on_event_asserts_when_workflow_execution_id_missing(self, monkeypatch: pytest.MonkeyPatch):
session_factory = Mock(name="session_factory")
layer = PauseStatePersistenceLayer(session_factory=session_factory, state_owner_user_id="owner-123")
mock_repo = Mock()
mock_factory = Mock(return_value=mock_repo)
monkeypatch.setattr(DifyAPIRepositoryFactory, "create_api_workflow_run_repository", mock_factory)
graph_runtime_state = MockReadOnlyGraphRuntimeState(workflow_execution_id=None)
command_channel = MockCommandChannel()
layer.initialize(graph_runtime_state, command_channel)
event = TestDataFactory.create_graph_run_paused_event()
with pytest.raises(AssertionError):
layer.on_event(event)
mock_factory.assert_not_called()
mock_repo.create_workflow_pause.assert_not_called()

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@ -0,0 +1,171 @@
"""Tests for _PrivateWorkflowPauseEntity implementation."""
from datetime import datetime
from unittest.mock import MagicMock, patch
from models.workflow import WorkflowPause as WorkflowPauseModel
from repositories.sqlalchemy_api_workflow_run_repository import _PrivateWorkflowPauseEntity
class TestPrivateWorkflowPauseEntity:
"""Test _PrivateWorkflowPauseEntity implementation."""
def test_entity_initialization(self):
"""Test entity initialization with required parameters."""
# Create mock models
mock_pause_model = MagicMock(spec=WorkflowPauseModel)
mock_pause_model.id = "pause-123"
mock_pause_model.workflow_run_id = "execution-456"
mock_pause_model.resumed_at = None
# Create entity
entity = _PrivateWorkflowPauseEntity(
pause_model=mock_pause_model,
)
# Verify initialization
assert entity._pause_model is mock_pause_model
assert entity._cached_state is None
def test_from_models_classmethod(self):
"""Test from_models class method."""
# Create mock models
mock_pause_model = MagicMock(spec=WorkflowPauseModel)
mock_pause_model.id = "pause-123"
mock_pause_model.workflow_run_id = "execution-456"
# Create entity using from_models
entity = _PrivateWorkflowPauseEntity.from_models(
workflow_pause_model=mock_pause_model,
)
# Verify entity creation
assert isinstance(entity, _PrivateWorkflowPauseEntity)
assert entity._pause_model is mock_pause_model
def test_id_property(self):
"""Test id property returns pause model ID."""
mock_pause_model = MagicMock(spec=WorkflowPauseModel)
mock_pause_model.id = "pause-123"
entity = _PrivateWorkflowPauseEntity(
pause_model=mock_pause_model,
)
assert entity.id == "pause-123"
def test_workflow_execution_id_property(self):
"""Test workflow_execution_id property returns workflow run ID."""
mock_pause_model = MagicMock(spec=WorkflowPauseModel)
mock_pause_model.workflow_run_id = "execution-456"
entity = _PrivateWorkflowPauseEntity(
pause_model=mock_pause_model,
)
assert entity.workflow_execution_id == "execution-456"
def test_resumed_at_property(self):
"""Test resumed_at property returns pause model resumed_at."""
resumed_at = datetime(2023, 12, 25, 15, 30, 45)
mock_pause_model = MagicMock(spec=WorkflowPauseModel)
mock_pause_model.resumed_at = resumed_at
entity = _PrivateWorkflowPauseEntity(
pause_model=mock_pause_model,
)
assert entity.resumed_at == resumed_at
def test_resumed_at_property_none(self):
"""Test resumed_at property returns None when not set."""
mock_pause_model = MagicMock(spec=WorkflowPauseModel)
mock_pause_model.resumed_at = None
entity = _PrivateWorkflowPauseEntity(
pause_model=mock_pause_model,
)
assert entity.resumed_at is None
@patch("repositories.sqlalchemy_api_workflow_run_repository.storage")
def test_get_state_first_call(self, mock_storage):
"""Test get_state loads from storage on first call."""
state_data = b'{"test": "data", "step": 5}'
mock_storage.load.return_value = state_data
mock_pause_model = MagicMock(spec=WorkflowPauseModel)
mock_pause_model.state_object_key = "test-state-key"
entity = _PrivateWorkflowPauseEntity(
pause_model=mock_pause_model,
)
# First call should load from storage
result = entity.get_state()
assert result == state_data
mock_storage.load.assert_called_once_with("test-state-key")
assert entity._cached_state == state_data
@patch("repositories.sqlalchemy_api_workflow_run_repository.storage")
def test_get_state_cached_call(self, mock_storage):
"""Test get_state returns cached data on subsequent calls."""
state_data = b'{"test": "data", "step": 5}'
mock_storage.load.return_value = state_data
mock_pause_model = MagicMock(spec=WorkflowPauseModel)
mock_pause_model.state_object_key = "test-state-key"
entity = _PrivateWorkflowPauseEntity(
pause_model=mock_pause_model,
)
# First call
result1 = entity.get_state()
# Second call should use cache
result2 = entity.get_state()
assert result1 == state_data
assert result2 == state_data
# Storage should only be called once
mock_storage.load.assert_called_once_with("test-state-key")
@patch("repositories.sqlalchemy_api_workflow_run_repository.storage")
def test_get_state_with_pre_cached_data(self, mock_storage):
"""Test get_state returns pre-cached data."""
state_data = b'{"test": "data", "step": 5}'
mock_pause_model = MagicMock(spec=WorkflowPauseModel)
entity = _PrivateWorkflowPauseEntity(
pause_model=mock_pause_model,
)
# Pre-cache data
entity._cached_state = state_data
# Should return cached data without calling storage
result = entity.get_state()
assert result == state_data
mock_storage.load.assert_not_called()
def test_entity_with_binary_state_data(self):
"""Test entity with binary state data."""
# Test with binary data that's not valid JSON
binary_data = b"\x00\x01\x02\x03\x04\x05\xff\xfe"
with patch("repositories.sqlalchemy_api_workflow_run_repository.storage") as mock_storage:
mock_storage.load.return_value = binary_data
mock_pause_model = MagicMock(spec=WorkflowPauseModel)
entity = _PrivateWorkflowPauseEntity(
pause_model=mock_pause_model,
)
result = entity.get_state()
assert result == binary_data

View File

@ -3,6 +3,7 @@
import time
from unittest.mock import MagicMock
from core.workflow.entities.pause_reason import SchedulingPause
from core.workflow.graph import Graph
from core.workflow.graph_engine import GraphEngine
from core.workflow.graph_engine.command_channels import InMemoryChannel
@ -149,8 +150,8 @@ def test_pause_command():
assert any(isinstance(e, GraphRunStartedEvent) for e in events)
pause_events = [e for e in events if isinstance(e, GraphRunPausedEvent)]
assert len(pause_events) == 1
assert pause_events[0].reason == "User requested pause"
assert pause_events[0].reason == SchedulingPause(message="User requested pause")
graph_execution = engine.graph_runtime_state.graph_execution
assert graph_execution.is_paused
assert graph_execution.pause_reason == "User requested pause"
assert graph_execution.pause_reason == SchedulingPause(message="User requested pause")

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@ -0,0 +1,32 @@
"""Tests for workflow pause related enums and constants."""
from core.workflow.enums import (
WorkflowExecutionStatus,
)
class TestWorkflowExecutionStatus:
"""Test WorkflowExecutionStatus enum."""
def test_is_ended_method(self):
"""Test is_ended method for different statuses."""
# Test ended statuses
ended_statuses = [
WorkflowExecutionStatus.SUCCEEDED,
WorkflowExecutionStatus.FAILED,
WorkflowExecutionStatus.PARTIAL_SUCCEEDED,
WorkflowExecutionStatus.STOPPED,
]
for status in ended_statuses:
assert status.is_ended(), f"{status} should be considered ended"
# Test non-ended statuses
non_ended_statuses = [
WorkflowExecutionStatus.SCHEDULED,
WorkflowExecutionStatus.RUNNING,
WorkflowExecutionStatus.PAUSED,
]
for status in non_ended_statuses:
assert not status.is_ended(), f"{status} should not be considered ended"

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@ -0,0 +1,202 @@
from typing import cast
import pytest
from core.file.models import File, FileTransferMethod, FileType
from core.workflow.system_variable import SystemVariable, SystemVariableReadOnlyView
class TestSystemVariableReadOnlyView:
"""Test cases for SystemVariableReadOnlyView class."""
def test_read_only_property_access(self):
"""Test that all properties return correct values from wrapped instance."""
# Create test data
test_file = File(
id="file-123",
tenant_id="tenant-123",
type=FileType.IMAGE,
transfer_method=FileTransferMethod.LOCAL_FILE,
related_id="related-123",
)
datasource_info = {"key": "value", "nested": {"data": 42}}
# Create SystemVariable with all fields
system_var = SystemVariable(
user_id="user-123",
app_id="app-123",
workflow_id="workflow-123",
files=[test_file],
workflow_execution_id="exec-123",
query="test query",
conversation_id="conv-123",
dialogue_count=5,
document_id="doc-123",
original_document_id="orig-doc-123",
dataset_id="dataset-123",
batch="batch-123",
datasource_type="type-123",
datasource_info=datasource_info,
invoke_from="invoke-123",
)
# Create read-only view
read_only_view = SystemVariableReadOnlyView(system_var)
# Test all properties
assert read_only_view.user_id == "user-123"
assert read_only_view.app_id == "app-123"
assert read_only_view.workflow_id == "workflow-123"
assert read_only_view.workflow_execution_id == "exec-123"
assert read_only_view.query == "test query"
assert read_only_view.conversation_id == "conv-123"
assert read_only_view.dialogue_count == 5
assert read_only_view.document_id == "doc-123"
assert read_only_view.original_document_id == "orig-doc-123"
assert read_only_view.dataset_id == "dataset-123"
assert read_only_view.batch == "batch-123"
assert read_only_view.datasource_type == "type-123"
assert read_only_view.invoke_from == "invoke-123"
def test_defensive_copying_of_mutable_objects(self):
"""Test that mutable objects are defensively copied."""
# Create test data
test_file = File(
id="file-123",
tenant_id="tenant-123",
type=FileType.IMAGE,
transfer_method=FileTransferMethod.LOCAL_FILE,
related_id="related-123",
)
datasource_info = {"key": "original_value"}
# Create SystemVariable
system_var = SystemVariable(
files=[test_file], datasource_info=datasource_info, workflow_execution_id="exec-123"
)
# Create read-only view
read_only_view = SystemVariableReadOnlyView(system_var)
# Test files defensive copying
files_copy = read_only_view.files
assert isinstance(files_copy, tuple) # Should be immutable tuple
assert len(files_copy) == 1
assert files_copy[0].id == "file-123"
# Verify it's a copy (can't modify original through view)
assert isinstance(files_copy, tuple)
# tuples don't have append method, so they're immutable
# Test datasource_info defensive copying
datasource_copy = read_only_view.datasource_info
assert datasource_copy is not None
assert datasource_copy["key"] == "original_value"
datasource_copy = cast(dict, datasource_copy)
with pytest.raises(TypeError):
datasource_copy["key"] = "modified value"
# Verify original is unchanged
assert system_var.datasource_info is not None
assert system_var.datasource_info["key"] == "original_value"
assert read_only_view.datasource_info is not None
assert read_only_view.datasource_info["key"] == "original_value"
def test_always_accesses_latest_data(self):
"""Test that properties always return the latest data from wrapped instance."""
# Create SystemVariable
system_var = SystemVariable(user_id="original-user", workflow_execution_id="exec-123")
# Create read-only view
read_only_view = SystemVariableReadOnlyView(system_var)
# Verify initial value
assert read_only_view.user_id == "original-user"
# Modify the wrapped instance
system_var.user_id = "modified-user"
# Verify view returns the new value
assert read_only_view.user_id == "modified-user"
def test_repr_method(self):
"""Test the __repr__ method."""
# Create SystemVariable
system_var = SystemVariable(workflow_execution_id="exec-123")
# Create read-only view
read_only_view = SystemVariableReadOnlyView(system_var)
# Test repr
repr_str = repr(read_only_view)
assert "SystemVariableReadOnlyView" in repr_str
assert "system_variable=" in repr_str
def test_none_value_handling(self):
"""Test that None values are properly handled."""
# Create SystemVariable with all None values except workflow_execution_id
system_var = SystemVariable(
user_id=None,
app_id=None,
workflow_id=None,
workflow_execution_id="exec-123",
query=None,
conversation_id=None,
dialogue_count=None,
document_id=None,
original_document_id=None,
dataset_id=None,
batch=None,
datasource_type=None,
datasource_info=None,
invoke_from=None,
)
# Create read-only view
read_only_view = SystemVariableReadOnlyView(system_var)
# Test all None values
assert read_only_view.user_id is None
assert read_only_view.app_id is None
assert read_only_view.workflow_id is None
assert read_only_view.query is None
assert read_only_view.conversation_id is None
assert read_only_view.dialogue_count is None
assert read_only_view.document_id is None
assert read_only_view.original_document_id is None
assert read_only_view.dataset_id is None
assert read_only_view.batch is None
assert read_only_view.datasource_type is None
assert read_only_view.datasource_info is None
assert read_only_view.invoke_from is None
# files should be empty tuple even when default list is empty
assert read_only_view.files == ()
def test_empty_files_handling(self):
"""Test that empty files list is handled correctly."""
# Create SystemVariable with empty files
system_var = SystemVariable(files=[], workflow_execution_id="exec-123")
# Create read-only view
read_only_view = SystemVariableReadOnlyView(system_var)
# Test files handling
assert read_only_view.files == ()
assert isinstance(read_only_view.files, tuple)
def test_empty_datasource_info_handling(self):
"""Test that empty datasource_info is handled correctly."""
# Create SystemVariable with empty datasource_info
system_var = SystemVariable(datasource_info={}, workflow_execution_id="exec-123")
# Create read-only view
read_only_view = SystemVariableReadOnlyView(system_var)
# Test datasource_info handling
assert read_only_view.datasource_info == {}
# Should be a copy, not the same object
assert read_only_view.datasource_info is not system_var.datasource_info

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@ -0,0 +1,11 @@
from models.base import DefaultFieldsMixin
class FooModel(DefaultFieldsMixin):
def __init__(self, id: str):
self.id = id
def test_repr():
foo_model = FooModel(id="test-id")
assert repr(foo_model) == "<FooModel(id=test-id)>"

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@ -0,0 +1,370 @@
"""Unit tests for DifyAPISQLAlchemyWorkflowRunRepository implementation."""
from datetime import UTC, datetime
from unittest.mock import Mock, patch
import pytest
from sqlalchemy.orm import Session, sessionmaker
from core.workflow.entities.workflow_pause import WorkflowPauseEntity
from core.workflow.enums import WorkflowExecutionStatus
from models.workflow import WorkflowPause as WorkflowPauseModel
from models.workflow import WorkflowRun
from repositories.sqlalchemy_api_workflow_run_repository import (
DifyAPISQLAlchemyWorkflowRunRepository,
_PrivateWorkflowPauseEntity,
_WorkflowRunError,
)
class TestDifyAPISQLAlchemyWorkflowRunRepository:
"""Test DifyAPISQLAlchemyWorkflowRunRepository implementation."""
@pytest.fixture
def mock_session(self):
"""Create a mock session."""
return Mock(spec=Session)
@pytest.fixture
def mock_session_maker(self, mock_session):
"""Create a mock sessionmaker."""
session_maker = Mock(spec=sessionmaker)
# Create a context manager mock
context_manager = Mock()
context_manager.__enter__ = Mock(return_value=mock_session)
context_manager.__exit__ = Mock(return_value=None)
session_maker.return_value = context_manager
# Mock session.begin() context manager
begin_context_manager = Mock()
begin_context_manager.__enter__ = Mock(return_value=None)
begin_context_manager.__exit__ = Mock(return_value=None)
mock_session.begin = Mock(return_value=begin_context_manager)
# Add missing session methods
mock_session.commit = Mock()
mock_session.rollback = Mock()
mock_session.add = Mock()
mock_session.delete = Mock()
mock_session.get = Mock()
mock_session.scalar = Mock()
mock_session.scalars = Mock()
# Also support expire_on_commit parameter
def make_session(expire_on_commit=None):
cm = Mock()
cm.__enter__ = Mock(return_value=mock_session)
cm.__exit__ = Mock(return_value=None)
return cm
session_maker.side_effect = make_session
return session_maker
@pytest.fixture
def repository(self, mock_session_maker):
"""Create repository instance with mocked dependencies."""
# Create a testable subclass that implements the save method
class TestableDifyAPISQLAlchemyWorkflowRunRepository(DifyAPISQLAlchemyWorkflowRunRepository):
def __init__(self, session_maker):
# Initialize without calling parent __init__ to avoid any instantiation issues
self._session_maker = session_maker
def save(self, execution):
"""Mock implementation of save method."""
return None
# Create repository instance
repo = TestableDifyAPISQLAlchemyWorkflowRunRepository(mock_session_maker)
return repo
@pytest.fixture
def sample_workflow_run(self):
"""Create a sample WorkflowRun model."""
workflow_run = Mock(spec=WorkflowRun)
workflow_run.id = "workflow-run-123"
workflow_run.tenant_id = "tenant-123"
workflow_run.app_id = "app-123"
workflow_run.workflow_id = "workflow-123"
workflow_run.status = WorkflowExecutionStatus.RUNNING
return workflow_run
@pytest.fixture
def sample_workflow_pause(self):
"""Create a sample WorkflowPauseModel."""
pause = Mock(spec=WorkflowPauseModel)
pause.id = "pause-123"
pause.workflow_id = "workflow-123"
pause.workflow_run_id = "workflow-run-123"
pause.state_object_key = "workflow-state-123.json"
pause.resumed_at = None
pause.created_at = datetime.now(UTC)
return pause
class TestCreateWorkflowPause(TestDifyAPISQLAlchemyWorkflowRunRepository):
"""Test create_workflow_pause method."""
def test_create_workflow_pause_success(
self,
repository: DifyAPISQLAlchemyWorkflowRunRepository,
mock_session: Mock,
sample_workflow_run: Mock,
):
"""Test successful workflow pause creation."""
# Arrange
workflow_run_id = "workflow-run-123"
state_owner_user_id = "user-123"
state = '{"test": "state"}'
mock_session.get.return_value = sample_workflow_run
with patch("repositories.sqlalchemy_api_workflow_run_repository.uuidv7") as mock_uuidv7:
mock_uuidv7.side_effect = ["pause-123"]
with patch("repositories.sqlalchemy_api_workflow_run_repository.storage") as mock_storage:
# Act
result = repository.create_workflow_pause(
workflow_run_id=workflow_run_id,
state_owner_user_id=state_owner_user_id,
state=state,
)
# Assert
assert isinstance(result, _PrivateWorkflowPauseEntity)
assert result.id == "pause-123"
assert result.workflow_execution_id == workflow_run_id
# Verify database interactions
mock_session.get.assert_called_once_with(WorkflowRun, workflow_run_id)
mock_storage.save.assert_called_once()
mock_session.add.assert_called()
# When using session.begin() context manager, commit is handled automatically
# No explicit commit call is expected
def test_create_workflow_pause_not_found(
self, repository: DifyAPISQLAlchemyWorkflowRunRepository, mock_session: Mock
):
"""Test workflow pause creation when workflow run not found."""
# Arrange
mock_session.get.return_value = None
# Act & Assert
with pytest.raises(ValueError, match="WorkflowRun not found: workflow-run-123"):
repository.create_workflow_pause(
workflow_run_id="workflow-run-123",
state_owner_user_id="user-123",
state='{"test": "state"}',
)
mock_session.get.assert_called_once_with(WorkflowRun, "workflow-run-123")
def test_create_workflow_pause_invalid_status(
self, repository: DifyAPISQLAlchemyWorkflowRunRepository, mock_session: Mock, sample_workflow_run: Mock
):
"""Test workflow pause creation when workflow not in RUNNING status."""
# Arrange
sample_workflow_run.status = WorkflowExecutionStatus.PAUSED
mock_session.get.return_value = sample_workflow_run
# Act & Assert
with pytest.raises(_WorkflowRunError, match="Only WorkflowRun with RUNNING status can be paused"):
repository.create_workflow_pause(
workflow_run_id="workflow-run-123",
state_owner_user_id="user-123",
state='{"test": "state"}',
)
class TestResumeWorkflowPause(TestDifyAPISQLAlchemyWorkflowRunRepository):
"""Test resume_workflow_pause method."""
def test_resume_workflow_pause_success(
self,
repository: DifyAPISQLAlchemyWorkflowRunRepository,
mock_session: Mock,
sample_workflow_run: Mock,
sample_workflow_pause: Mock,
):
"""Test successful workflow pause resume."""
# Arrange
workflow_run_id = "workflow-run-123"
pause_entity = Mock(spec=WorkflowPauseEntity)
pause_entity.id = "pause-123"
# Setup workflow run and pause
sample_workflow_run.status = WorkflowExecutionStatus.PAUSED
sample_workflow_run.pause = sample_workflow_pause
sample_workflow_pause.resumed_at = None
mock_session.scalar.return_value = sample_workflow_run
with patch("repositories.sqlalchemy_api_workflow_run_repository.naive_utc_now") as mock_now:
mock_now.return_value = datetime.now(UTC)
# Act
result = repository.resume_workflow_pause(
workflow_run_id=workflow_run_id,
pause_entity=pause_entity,
)
# Assert
assert isinstance(result, _PrivateWorkflowPauseEntity)
assert result.id == "pause-123"
# Verify state transitions
assert sample_workflow_pause.resumed_at is not None
assert sample_workflow_run.status == WorkflowExecutionStatus.RUNNING
# Verify database interactions
mock_session.add.assert_called()
# When using session.begin() context manager, commit is handled automatically
# No explicit commit call is expected
def test_resume_workflow_pause_not_paused(
self,
repository: DifyAPISQLAlchemyWorkflowRunRepository,
mock_session: Mock,
sample_workflow_run: Mock,
):
"""Test resume when workflow is not paused."""
# Arrange
workflow_run_id = "workflow-run-123"
pause_entity = Mock(spec=WorkflowPauseEntity)
pause_entity.id = "pause-123"
sample_workflow_run.status = WorkflowExecutionStatus.RUNNING
mock_session.scalar.return_value = sample_workflow_run
# Act & Assert
with pytest.raises(_WorkflowRunError, match="WorkflowRun is not in PAUSED status"):
repository.resume_workflow_pause(
workflow_run_id=workflow_run_id,
pause_entity=pause_entity,
)
def test_resume_workflow_pause_id_mismatch(
self,
repository: DifyAPISQLAlchemyWorkflowRunRepository,
mock_session: Mock,
sample_workflow_run: Mock,
sample_workflow_pause: Mock,
):
"""Test resume when pause ID doesn't match."""
# Arrange
workflow_run_id = "workflow-run-123"
pause_entity = Mock(spec=WorkflowPauseEntity)
pause_entity.id = "pause-456" # Different ID
sample_workflow_run.status = WorkflowExecutionStatus.PAUSED
sample_workflow_pause.id = "pause-123"
sample_workflow_run.pause = sample_workflow_pause
mock_session.scalar.return_value = sample_workflow_run
# Act & Assert
with pytest.raises(_WorkflowRunError, match="different id in WorkflowPause and WorkflowPauseEntity"):
repository.resume_workflow_pause(
workflow_run_id=workflow_run_id,
pause_entity=pause_entity,
)
class TestDeleteWorkflowPause(TestDifyAPISQLAlchemyWorkflowRunRepository):
"""Test delete_workflow_pause method."""
def test_delete_workflow_pause_success(
self,
repository: DifyAPISQLAlchemyWorkflowRunRepository,
mock_session: Mock,
sample_workflow_pause: Mock,
):
"""Test successful workflow pause deletion."""
# Arrange
pause_entity = Mock(spec=WorkflowPauseEntity)
pause_entity.id = "pause-123"
mock_session.get.return_value = sample_workflow_pause
with patch("repositories.sqlalchemy_api_workflow_run_repository.storage") as mock_storage:
# Act
repository.delete_workflow_pause(pause_entity=pause_entity)
# Assert
mock_storage.delete.assert_called_once_with(sample_workflow_pause.state_object_key)
mock_session.delete.assert_called_once_with(sample_workflow_pause)
# When using session.begin() context manager, commit is handled automatically
# No explicit commit call is expected
def test_delete_workflow_pause_not_found(
self,
repository: DifyAPISQLAlchemyWorkflowRunRepository,
mock_session: Mock,
):
"""Test delete when pause not found."""
# Arrange
pause_entity = Mock(spec=WorkflowPauseEntity)
pause_entity.id = "pause-123"
mock_session.get.return_value = None
# Act & Assert
with pytest.raises(_WorkflowRunError, match="WorkflowPause not found: pause-123"):
repository.delete_workflow_pause(pause_entity=pause_entity)
class TestPrivateWorkflowPauseEntity(TestDifyAPISQLAlchemyWorkflowRunRepository):
"""Test _PrivateWorkflowPauseEntity class."""
def test_from_models(self, sample_workflow_pause: Mock):
"""Test creating _PrivateWorkflowPauseEntity from models."""
# Act
entity = _PrivateWorkflowPauseEntity.from_models(sample_workflow_pause)
# Assert
assert isinstance(entity, _PrivateWorkflowPauseEntity)
assert entity._pause_model == sample_workflow_pause
def test_properties(self, sample_workflow_pause: Mock):
"""Test entity properties."""
# Arrange
entity = _PrivateWorkflowPauseEntity.from_models(sample_workflow_pause)
# Act & Assert
assert entity.id == sample_workflow_pause.id
assert entity.workflow_execution_id == sample_workflow_pause.workflow_run_id
assert entity.resumed_at == sample_workflow_pause.resumed_at
def test_get_state(self, sample_workflow_pause: Mock):
"""Test getting state from storage."""
# Arrange
entity = _PrivateWorkflowPauseEntity.from_models(sample_workflow_pause)
expected_state = b'{"test": "state"}'
with patch("repositories.sqlalchemy_api_workflow_run_repository.storage") as mock_storage:
mock_storage.load.return_value = expected_state
# Act
result = entity.get_state()
# Assert
assert result == expected_state
mock_storage.load.assert_called_once_with(sample_workflow_pause.state_object_key)
def test_get_state_caching(self, sample_workflow_pause: Mock):
"""Test state caching in get_state method."""
# Arrange
entity = _PrivateWorkflowPauseEntity.from_models(sample_workflow_pause)
expected_state = b'{"test": "state"}'
with patch("repositories.sqlalchemy_api_workflow_run_repository.storage") as mock_storage:
mock_storage.load.return_value = expected_state
# Act
result1 = entity.get_state()
result2 = entity.get_state() # Should use cache
# Assert
assert result1 == expected_state
assert result2 == expected_state
mock_storage.load.assert_called_once() # Only called once due to caching

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@ -0,0 +1,200 @@
"""Comprehensive unit tests for WorkflowRunService class.
This test suite covers all pause state management operations including:
- Retrieving pause state for workflow runs
- Saving pause state with file uploads
- Marking paused workflows as resumed
- Error handling and edge cases
- Database transaction management
- Repository-based approach testing
"""
from datetime import datetime
from unittest.mock import MagicMock, create_autospec, patch
import pytest
from sqlalchemy import Engine
from sqlalchemy.orm import Session, sessionmaker
from core.workflow.enums import WorkflowExecutionStatus
from repositories.api_workflow_run_repository import APIWorkflowRunRepository
from repositories.sqlalchemy_api_workflow_run_repository import _PrivateWorkflowPauseEntity
from services.workflow_run_service import (
WorkflowRunService,
)
class TestDataFactory:
"""Factory class for creating test data objects."""
@staticmethod
def create_workflow_run_mock(
id: str = "workflow-run-123",
tenant_id: str = "tenant-456",
app_id: str = "app-789",
workflow_id: str = "workflow-101",
status: str | WorkflowExecutionStatus = "paused",
pause_id: str | None = None,
**kwargs,
) -> MagicMock:
"""Create a mock WorkflowRun object."""
mock_run = MagicMock()
mock_run.id = id
mock_run.tenant_id = tenant_id
mock_run.app_id = app_id
mock_run.workflow_id = workflow_id
mock_run.status = status
mock_run.pause_id = pause_id
for key, value in kwargs.items():
setattr(mock_run, key, value)
return mock_run
@staticmethod
def create_workflow_pause_mock(
id: str = "pause-123",
tenant_id: str = "tenant-456",
app_id: str = "app-789",
workflow_id: str = "workflow-101",
workflow_execution_id: str = "workflow-execution-123",
state_file_id: str = "file-456",
resumed_at: datetime | None = None,
**kwargs,
) -> MagicMock:
"""Create a mock WorkflowPauseModel object."""
mock_pause = MagicMock()
mock_pause.id = id
mock_pause.tenant_id = tenant_id
mock_pause.app_id = app_id
mock_pause.workflow_id = workflow_id
mock_pause.workflow_execution_id = workflow_execution_id
mock_pause.state_file_id = state_file_id
mock_pause.resumed_at = resumed_at
for key, value in kwargs.items():
setattr(mock_pause, key, value)
return mock_pause
@staticmethod
def create_upload_file_mock(
id: str = "file-456",
key: str = "upload_files/test/state.json",
name: str = "state.json",
tenant_id: str = "tenant-456",
**kwargs,
) -> MagicMock:
"""Create a mock UploadFile object."""
mock_file = MagicMock()
mock_file.id = id
mock_file.key = key
mock_file.name = name
mock_file.tenant_id = tenant_id
for key, value in kwargs.items():
setattr(mock_file, key, value)
return mock_file
@staticmethod
def create_pause_entity_mock(
pause_model: MagicMock | None = None,
upload_file: MagicMock | None = None,
) -> _PrivateWorkflowPauseEntity:
"""Create a mock _PrivateWorkflowPauseEntity object."""
if pause_model is None:
pause_model = TestDataFactory.create_workflow_pause_mock()
if upload_file is None:
upload_file = TestDataFactory.create_upload_file_mock()
return _PrivateWorkflowPauseEntity.from_models(pause_model, upload_file)
class TestWorkflowRunService:
"""Comprehensive unit tests for WorkflowRunService class."""
@pytest.fixture
def mock_session_factory(self):
"""Create a mock session factory with proper session management."""
mock_session = create_autospec(Session)
# Create a mock context manager for the session
mock_session_cm = MagicMock()
mock_session_cm.__enter__ = MagicMock(return_value=mock_session)
mock_session_cm.__exit__ = MagicMock(return_value=None)
# Create a mock context manager for the transaction
mock_transaction_cm = MagicMock()
mock_transaction_cm.__enter__ = MagicMock(return_value=mock_session)
mock_transaction_cm.__exit__ = MagicMock(return_value=None)
mock_session.begin = MagicMock(return_value=mock_transaction_cm)
# Create mock factory that returns the context manager
mock_factory = MagicMock(spec=sessionmaker)
mock_factory.return_value = mock_session_cm
return mock_factory, mock_session
@pytest.fixture
def mock_workflow_run_repository(self):
"""Create a mock APIWorkflowRunRepository."""
mock_repo = create_autospec(APIWorkflowRunRepository)
return mock_repo
@pytest.fixture
def workflow_run_service(self, mock_session_factory, mock_workflow_run_repository):
"""Create WorkflowRunService instance with mocked dependencies."""
session_factory, _ = mock_session_factory
with patch("services.workflow_run_service.DifyAPIRepositoryFactory") as mock_factory:
mock_factory.create_api_workflow_run_repository.return_value = mock_workflow_run_repository
service = WorkflowRunService(session_factory)
return service
@pytest.fixture
def workflow_run_service_with_engine(self, mock_session_factory, mock_workflow_run_repository):
"""Create WorkflowRunService instance with Engine input."""
mock_engine = create_autospec(Engine)
session_factory, _ = mock_session_factory
with patch("services.workflow_run_service.DifyAPIRepositoryFactory") as mock_factory:
mock_factory.create_api_workflow_run_repository.return_value = mock_workflow_run_repository
service = WorkflowRunService(mock_engine)
return service
# ==================== Initialization Tests ====================
def test_init_with_session_factory(self, mock_session_factory, mock_workflow_run_repository):
"""Test WorkflowRunService initialization with session_factory."""
session_factory, _ = mock_session_factory
with patch("services.workflow_run_service.DifyAPIRepositoryFactory") as mock_factory:
mock_factory.create_api_workflow_run_repository.return_value = mock_workflow_run_repository
service = WorkflowRunService(session_factory)
assert service._session_factory == session_factory
mock_factory.create_api_workflow_run_repository.assert_called_once_with(session_factory)
def test_init_with_engine(self, mock_session_factory, mock_workflow_run_repository):
"""Test WorkflowRunService initialization with Engine (should convert to sessionmaker)."""
mock_engine = create_autospec(Engine)
session_factory, _ = mock_session_factory
with patch("services.workflow_run_service.DifyAPIRepositoryFactory") as mock_factory:
mock_factory.create_api_workflow_run_repository.return_value = mock_workflow_run_repository
with patch("services.workflow_run_service.sessionmaker", return_value=session_factory) as mock_sessionmaker:
service = WorkflowRunService(mock_engine)
mock_sessionmaker.assert_called_once_with(bind=mock_engine, expire_on_commit=False)
assert service._session_factory == session_factory
mock_factory.create_api_workflow_run_repository.assert_called_once_with(session_factory)
def test_init_with_default_dependencies(self, mock_session_factory):
"""Test WorkflowRunService initialization with default dependencies."""
session_factory, _ = mock_session_factory
service = WorkflowRunService(session_factory)
assert service._session_factory == session_factory