Merge branch 'main' into feat/memory-orchestration-be

# Conflicts:
#	api/core/app/apps/advanced_chat/app_runner.py
#	api/core/prompt/entities/advanced_prompt_entities.py
#	api/core/variables/segments.py
This commit is contained in:
Stream
2025-09-15 14:14:56 +08:00
2025 changed files with 67244 additions and 18565 deletions

View File

@ -2,10 +2,10 @@ import json
import time
import uuid
from collections.abc import Callable, Generator, Mapping, Sequence
from typing import Any, Optional, cast
from typing import Any, cast
from uuid import uuid4
from sqlalchemy import select
from sqlalchemy import exists, select
from sqlalchemy.orm import Session, sessionmaker
from core.app.app_config.entities import VariableEntityType
@ -37,23 +37,15 @@ from libs.datetime_utils import naive_utc_now
from models.account import Account
from models.model import App, AppMode
from models.tools import WorkflowToolProvider
from models.workflow import (
Workflow,
WorkflowNodeExecutionModel,
WorkflowNodeExecutionTriggeredFrom,
WorkflowType,
)
from models.workflow import Workflow, WorkflowNodeExecutionModel, WorkflowNodeExecutionTriggeredFrom, WorkflowType
from repositories.factory import DifyAPIRepositoryFactory
from services.enterprise.plugin_manager_service import PluginCredentialType
from services.errors.app import IsDraftWorkflowError, WorkflowHashNotEqualError
from services.workflow.workflow_converter import WorkflowConverter
from .chatflow_memory_service import ChatflowMemoryService
from .errors.workflow_service import DraftWorkflowDeletionError, WorkflowInUseError
from .workflow_draft_variable_service import (
DraftVariableSaver,
DraftVarLoader,
WorkflowDraftVariableService,
)
from .workflow_draft_variable_service import DraftVariableSaver, DraftVarLoader, WorkflowDraftVariableService
class WorkflowService:
@ -89,20 +81,21 @@ class WorkflowService:
)
def is_workflow_exist(self, app_model: App) -> bool:
return (
db.session.query(Workflow)
.where(
stmt = select(
exists().where(
Workflow.tenant_id == app_model.tenant_id,
Workflow.app_id == app_model.id,
Workflow.version == Workflow.VERSION_DRAFT,
)
.count()
) > 0
)
return db.session.execute(stmt).scalar_one()
def get_draft_workflow(self, app_model: App) -> Optional[Workflow]:
def get_draft_workflow(self, app_model: App, workflow_id: str | None = None) -> Workflow | None:
"""
Get draft workflow
"""
if workflow_id:
return self.get_published_workflow_by_id(app_model, workflow_id)
# fetch draft workflow by app_model
workflow = (
db.session.query(Workflow)
@ -117,8 +110,10 @@ class WorkflowService:
# return draft workflow
return workflow
def get_published_workflow_by_id(self, app_model: App, workflow_id: str) -> Optional[Workflow]:
# fetch published workflow by workflow_id
def get_published_workflow_by_id(self, app_model: App, workflow_id: str) -> Workflow | None:
"""
fetch published workflow by workflow_id
"""
workflow = (
db.session.query(Workflow)
.where(
@ -137,7 +132,7 @@ class WorkflowService:
)
return workflow
def get_published_workflow(self, app_model: App) -> Optional[Workflow]:
def get_published_workflow(self, app_model: App) -> Workflow | None:
"""
Get published workflow
"""
@ -202,7 +197,7 @@ class WorkflowService:
app_model: App,
graph: dict,
features: dict,
unique_hash: Optional[str],
unique_hash: str | None,
account: Account,
environment_variables: Sequence[Variable],
conversation_variables: Sequence[Variable],
@ -270,6 +265,12 @@ class WorkflowService:
if not draft_workflow:
raise ValueError("No valid workflow found.")
# Validate credentials before publishing, for credential policy check
from services.feature_service import FeatureService
if FeatureService.get_system_features().plugin_manager.enabled:
self._validate_workflow_credentials(draft_workflow)
# create new workflow
workflow = Workflow.new(
tenant_id=app_model.tenant_id,
@ -294,6 +295,260 @@ class WorkflowService:
# return new workflow
return workflow
def _validate_workflow_credentials(self, workflow: Workflow) -> None:
"""
Validate all credentials in workflow nodes before publishing.
:param workflow: The workflow to validate
:raises ValueError: If any credentials violate policy compliance
"""
graph_dict = workflow.graph_dict
nodes = graph_dict.get("nodes", [])
for node in nodes:
node_data = node.get("data", {})
node_type = node_data.get("type")
node_id = node.get("id", "unknown")
try:
# Extract and validate credentials based on node type
if node_type == "tool":
credential_id = node_data.get("credential_id")
provider = node_data.get("provider_id")
if provider:
if credential_id:
# Check specific credential
from core.helper.credential_utils import check_credential_policy_compliance
check_credential_policy_compliance(
credential_id=credential_id,
provider=provider,
credential_type=PluginCredentialType.TOOL,
)
else:
# Check default workspace credential for this provider
self._check_default_tool_credential(workflow.tenant_id, provider)
elif node_type == "agent":
agent_params = node_data.get("agent_parameters", {})
model_config = agent_params.get("model", {}).get("value", {})
if model_config.get("provider") and model_config.get("model"):
self._validate_llm_model_config(
workflow.tenant_id, model_config["provider"], model_config["model"]
)
# Validate load balancing credentials for agent model if load balancing is enabled
agent_model_node_data = {"model": model_config}
self._validate_load_balancing_credentials(workflow, agent_model_node_data, node_id)
# Validate agent tools
tools = agent_params.get("tools", {}).get("value", [])
for tool in tools:
# Agent tools store provider in provider_name field
provider = tool.get("provider_name")
credential_id = tool.get("credential_id")
if provider:
if credential_id:
from core.helper.credential_utils import check_credential_policy_compliance
check_credential_policy_compliance(credential_id, provider, PluginCredentialType.TOOL)
else:
self._check_default_tool_credential(workflow.tenant_id, provider)
elif node_type in ["llm", "knowledge_retrieval", "parameter_extractor", "question_classifier"]:
model_config = node_data.get("model", {})
provider = model_config.get("provider")
model_name = model_config.get("name")
if provider and model_name:
# Validate that the provider+model combination can fetch valid credentials
self._validate_llm_model_config(workflow.tenant_id, provider, model_name)
# Validate load balancing credentials if load balancing is enabled
self._validate_load_balancing_credentials(workflow, node_data, node_id)
else:
raise ValueError(f"Node {node_id} ({node_type}): Missing provider or model configuration")
except Exception as e:
if isinstance(e, ValueError):
raise e
else:
raise ValueError(f"Node {node_id} ({node_type}): {str(e)}")
def _validate_llm_model_config(self, tenant_id: str, provider: str, model_name: str) -> None:
"""
Validate that an LLM model configuration can fetch valid credentials.
This method attempts to get the model instance and validates that:
1. The provider exists and is configured
2. The model exists in the provider
3. Credentials can be fetched for the model
4. The credentials pass policy compliance checks
:param tenant_id: The tenant ID
:param provider: The provider name
:param model_name: The model name
:raises ValueError: If the model configuration is invalid or credentials fail policy checks
"""
try:
from core.model_manager import ModelManager
from core.model_runtime.entities.model_entities import ModelType
# Get model instance to validate provider+model combination
model_manager = ModelManager()
model_manager.get_model_instance(
tenant_id=tenant_id, provider=provider, model_type=ModelType.LLM, model=model_name
)
# The ModelInstance constructor will automatically check credential policy compliance
# via ProviderConfiguration.get_current_credentials() -> _check_credential_policy_compliance()
# If it fails, an exception will be raised
except Exception as e:
raise ValueError(
f"Failed to validate LLM model configuration (provider: {provider}, model: {model_name}): {str(e)}"
)
def _check_default_tool_credential(self, tenant_id: str, provider: str) -> None:
"""
Check credential policy compliance for the default workspace credential of a tool provider.
This method finds the default credential for the given provider and validates it.
Uses the same fallback logic as runtime to handle deauthorized credentials.
:param tenant_id: The tenant ID
:param provider: The tool provider name
:raises ValueError: If no default credential exists or if it fails policy compliance
"""
try:
from models.tools import BuiltinToolProvider
# Use the same fallback logic as runtime: get the first available credential
# ordered by is_default DESC, created_at ASC (same as tool_manager.py)
default_provider = (
db.session.query(BuiltinToolProvider)
.where(
BuiltinToolProvider.tenant_id == tenant_id,
BuiltinToolProvider.provider == provider,
)
.order_by(BuiltinToolProvider.is_default.desc(), BuiltinToolProvider.created_at.asc())
.first()
)
if not default_provider:
raise ValueError("No default credential found")
# Check credential policy compliance using the default credential ID
from core.helper.credential_utils import check_credential_policy_compliance
check_credential_policy_compliance(
credential_id=default_provider.id,
provider=provider,
credential_type=PluginCredentialType.TOOL,
check_existence=False,
)
except Exception as e:
raise ValueError(f"Failed to validate default credential for tool provider {provider}: {str(e)}")
def _validate_load_balancing_credentials(self, workflow: Workflow, node_data: dict, node_id: str) -> None:
"""
Validate load balancing credentials for a workflow node.
:param workflow: The workflow being validated
:param node_data: The node data containing model configuration
:param node_id: The node ID for error reporting
:raises ValueError: If load balancing credentials violate policy compliance
"""
# Extract model configuration
model_config = node_data.get("model", {})
provider = model_config.get("provider")
model_name = model_config.get("name")
if not provider or not model_name:
return # No model config to validate
# Check if this model has load balancing enabled
if self._is_load_balancing_enabled(workflow.tenant_id, provider, model_name):
# Get all load balancing configurations for this model
load_balancing_configs = self._get_load_balancing_configs(workflow.tenant_id, provider, model_name)
# Validate each load balancing configuration
try:
for config in load_balancing_configs:
if config.get("credential_id"):
from core.helper.credential_utils import check_credential_policy_compliance
check_credential_policy_compliance(
config["credential_id"], provider, PluginCredentialType.MODEL
)
except Exception as e:
raise ValueError(f"Invalid load balancing credentials for {provider}/{model_name}: {str(e)}")
def _is_load_balancing_enabled(self, tenant_id: str, provider: str, model_name: str) -> bool:
"""
Check if load balancing is enabled for a specific model.
:param tenant_id: The tenant ID
:param provider: The provider name
:param model_name: The model name
:return: True if load balancing is enabled, False otherwise
"""
try:
from core.model_runtime.entities.model_entities import ModelType
from core.provider_manager import ProviderManager
# Get provider configurations
provider_manager = ProviderManager()
provider_configurations = provider_manager.get_configurations(tenant_id)
provider_configuration = provider_configurations.get(provider)
if not provider_configuration:
return False
# Get provider model setting
provider_model_setting = provider_configuration.get_provider_model_setting(
model_type=ModelType.LLM,
model=model_name,
)
return provider_model_setting is not None and provider_model_setting.load_balancing_enabled
except Exception:
# If we can't determine the status, assume load balancing is not enabled
return False
def _get_load_balancing_configs(self, tenant_id: str, provider: str, model_name: str) -> list[dict]:
"""
Get all load balancing configurations for a model.
:param tenant_id: The tenant ID
:param provider: The provider name
:param model_name: The model name
:return: List of load balancing configuration dictionaries
"""
try:
from services.model_load_balancing_service import ModelLoadBalancingService
model_load_balancing_service = ModelLoadBalancingService()
_, configs = model_load_balancing_service.get_load_balancing_configs(
tenant_id=tenant_id,
provider=provider,
model=model_name,
model_type="llm", # Load balancing is primarily used for LLM models
config_from="predefined-model", # Check both predefined and custom models
)
_, custom_configs = model_load_balancing_service.get_load_balancing_configs(
tenant_id=tenant_id, provider=provider, model=model_name, model_type="llm", config_from="custom-model"
)
all_configs = configs + custom_configs
return [config for config in all_configs if config.get("credential_id")]
except Exception:
# If we can't get the configurations, return empty list
# This will prevent validation errors from breaking the workflow
return []
def get_default_block_configs(self) -> list[dict]:
"""
Get default block configs
@ -308,7 +563,7 @@ class WorkflowService:
return default_block_configs
def get_default_block_config(self, node_type: str, filters: Optional[dict] = None) -> Optional[dict]:
def get_default_block_config(self, node_type: str, filters: dict | None = None) -> dict | None:
"""
Get default config of node.
:param node_type: node type
@ -509,10 +764,10 @@ class WorkflowService:
)
error = node_run_result.error if not run_succeeded else None
except WorkflowNodeRunFailedError as e:
node = e._node
node = e.node
run_succeeded = False
node_run_result = None
error = e._error
error = e.error
# Create a NodeExecution domain model
node_execution = WorkflowNodeExecution(
@ -568,7 +823,7 @@ class WorkflowService:
# chatbot convert to workflow mode
workflow_converter = WorkflowConverter()
if app_model.mode not in {AppMode.CHAT.value, AppMode.COMPLETION.value}:
if app_model.mode not in {AppMode.CHAT, AppMode.COMPLETION}:
raise ValueError(f"Current App mode: {app_model.mode} is not supported convert to workflow.")
# convert to workflow
@ -583,12 +838,12 @@ class WorkflowService:
return new_app
def validate_features_structure(self, app_model: App, features: dict) -> dict:
if app_model.mode == AppMode.ADVANCED_CHAT.value:
def validate_features_structure(self, app_model: App, features: dict):
if app_model.mode == AppMode.ADVANCED_CHAT:
return AdvancedChatAppConfigManager.config_validate(
tenant_id=app_model.tenant_id, config=features, only_structure_validate=True
)
elif app_model.mode == AppMode.WORKFLOW.value:
elif app_model.mode == AppMode.WORKFLOW:
return WorkflowAppConfigManager.config_validate(
tenant_id=app_model.tenant_id, config=features, only_structure_validate=True
)
@ -597,7 +852,7 @@ class WorkflowService:
def update_workflow(
self, *, session: Session, workflow_id: str, tenant_id: str, account_id: str, data: dict
) -> Optional[Workflow]:
) -> Workflow | None:
"""
Update workflow attributes