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https://github.com/langgenius/dify.git
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c5c5c71d15
commit
1117b6e72d
@ -61,27 +61,28 @@ class TokenBufferMemory:
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:param is_user_message: whether this is a user message
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:return: PromptMessage
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"""
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if self.conversation.mode in {AppMode.AGENT_CHAT, AppMode.COMPLETION, AppMode.CHAT}:
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file_extra_config = FileUploadConfigManager.convert(self.conversation.model_config)
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elif self.conversation.mode in {AppMode.ADVANCED_CHAT, AppMode.WORKFLOW}:
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app = self.conversation.app
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if not app:
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raise ValueError("App not found for conversation")
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match self.conversation.mode:
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case AppMode.AGENT_CHAT | AppMode.COMPLETION | AppMode.CHAT:
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file_extra_config = FileUploadConfigManager.convert(self.conversation.model_config)
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case AppMode.ADVANCED_CHAT | AppMode.WORKFLOW:
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app = self.conversation.app
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if not app:
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raise ValueError("App not found for conversation")
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if not message.workflow_run_id:
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raise ValueError("Workflow run ID not found")
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if not message.workflow_run_id:
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raise ValueError("Workflow run ID not found")
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workflow_run = self.workflow_run_repo.get_workflow_run_by_id(
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tenant_id=app.tenant_id, app_id=app.id, run_id=message.workflow_run_id
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)
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if not workflow_run:
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raise ValueError(f"Workflow run not found: {message.workflow_run_id}")
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workflow = db.session.scalar(select(Workflow).where(Workflow.id == workflow_run.workflow_id))
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if not workflow:
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raise ValueError(f"Workflow not found: {workflow_run.workflow_id}")
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file_extra_config = FileUploadConfigManager.convert(workflow.features_dict, is_vision=False)
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else:
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raise AssertionError(f"Invalid app mode: {self.conversation.mode}")
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workflow_run = self.workflow_run_repo.get_workflow_run_by_id(
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tenant_id=app.tenant_id, app_id=app.id, run_id=message.workflow_run_id
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)
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if not workflow_run:
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raise ValueError(f"Workflow run not found: {message.workflow_run_id}")
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workflow = db.session.scalar(select(Workflow).where(Workflow.id == workflow_run.workflow_id))
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if not workflow:
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raise ValueError(f"Workflow not found: {workflow_run.workflow_id}")
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file_extra_config = FileUploadConfigManager.convert(workflow.features_dict, is_vision=False)
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case _:
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raise AssertionError(f"Invalid app mode: {self.conversation.mode}")
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detail = ImagePromptMessageContent.DETAIL.HIGH
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if file_extra_config and app_record:
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@ -66,12 +66,15 @@ def build_file_from_stored_mapping(
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record_id = resolve_file_record_id(mapping)
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transfer_method = FileTransferMethod.value_of(mapping["transfer_method"])
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if transfer_method == FileTransferMethod.TOOL_FILE and record_id:
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mapping["tool_file_id"] = record_id
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elif transfer_method in [FileTransferMethod.LOCAL_FILE, FileTransferMethod.REMOTE_URL] and record_id:
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mapping["upload_file_id"] = record_id
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elif transfer_method == FileTransferMethod.DATASOURCE_FILE and record_id:
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mapping["datasource_file_id"] = record_id
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match transfer_method:
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case FileTransferMethod.TOOL_FILE if record_id:
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mapping["tool_file_id"] = record_id
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case FileTransferMethod.LOCAL_FILE | FileTransferMethod.REMOTE_URL if record_id:
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mapping["upload_file_id"] = record_id
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case FileTransferMethod.DATASOURCE_FILE if record_id:
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mapping["datasource_file_id"] = record_id
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case _:
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pass
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if transfer_method == FileTransferMethod.REMOTE_URL and record_id is None:
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remote_url = mapping.get("remote_url")
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@ -467,61 +467,67 @@ class AppDslService:
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)
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# Initialize app based on mode
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if app_mode in {AppMode.ADVANCED_CHAT, AppMode.WORKFLOW}:
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workflow_data = data.get("workflow")
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if not workflow_data or not isinstance(workflow_data, dict):
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raise ValueError("Missing workflow data for workflow/advanced chat app")
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match app_mode:
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case AppMode.ADVANCED_CHAT | AppMode.WORKFLOW:
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workflow_data = data.get("workflow")
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if not workflow_data or not isinstance(workflow_data, dict):
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raise ValueError("Missing workflow data for workflow/advanced chat app")
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environment_variables_list = workflow_data.get("environment_variables", [])
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environment_variables = [
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variable_factory.build_environment_variable_from_mapping(obj) for obj in environment_variables_list
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]
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conversation_variables_list = workflow_data.get("conversation_variables", [])
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conversation_variables = [
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variable_factory.build_conversation_variable_from_mapping(obj) for obj in conversation_variables_list
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]
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environment_variables_list = workflow_data.get("environment_variables", [])
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environment_variables = [
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variable_factory.build_environment_variable_from_mapping(obj) for obj in environment_variables_list
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]
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conversation_variables_list = workflow_data.get("conversation_variables", [])
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conversation_variables = [
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variable_factory.build_conversation_variable_from_mapping(obj)
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for obj in conversation_variables_list
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]
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workflow_service = WorkflowService()
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current_draft_workflow = workflow_service.get_draft_workflow(app_model=app)
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if current_draft_workflow:
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unique_hash = current_draft_workflow.unique_hash
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else:
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unique_hash = None
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graph = workflow_data.get("graph", {})
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for node in graph.get("nodes", []):
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if node.get("data", {}).get("type", "") == BuiltinNodeTypes.KNOWLEDGE_RETRIEVAL:
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dataset_ids = node["data"].get("dataset_ids", [])
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node["data"]["dataset_ids"] = [
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decrypted_id
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for dataset_id in dataset_ids
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if (decrypted_id := self.decrypt_dataset_id(encrypted_data=dataset_id, tenant_id=app.tenant_id))
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]
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workflow_service.sync_draft_workflow(
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app_model=app,
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graph=workflow_data.get("graph", {}),
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features=workflow_data.get("features", {}),
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unique_hash=unique_hash,
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account=account,
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environment_variables=environment_variables,
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conversation_variables=conversation_variables,
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)
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elif app_mode in {AppMode.CHAT, AppMode.AGENT_CHAT, AppMode.COMPLETION}:
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# Initialize model config
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model_config = data.get("model_config")
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if not model_config or not isinstance(model_config, dict):
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raise ValueError("Missing model_config for chat/agent-chat/completion app")
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# Initialize or update model config
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if not app.app_model_config:
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app_model_config = AppModelConfig(
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app_id=app.id, created_by=account.id, updated_by=account.id
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).from_model_config_dict(cast(AppModelConfigDict, model_config))
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app_model_config.id = str(uuid4())
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app.app_model_config_id = app_model_config.id
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workflow_service = WorkflowService()
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current_draft_workflow = workflow_service.get_draft_workflow(app_model=app)
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if current_draft_workflow:
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unique_hash = current_draft_workflow.unique_hash
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else:
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unique_hash = None
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graph = workflow_data.get("graph", {})
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for node in graph.get("nodes", []):
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if node.get("data", {}).get("type", "") == BuiltinNodeTypes.KNOWLEDGE_RETRIEVAL:
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dataset_ids = node["data"].get("dataset_ids", [])
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node["data"]["dataset_ids"] = [
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decrypted_id
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for dataset_id in dataset_ids
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if (
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decrypted_id := self.decrypt_dataset_id(
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encrypted_data=dataset_id, tenant_id=app.tenant_id
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)
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)
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]
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workflow_service.sync_draft_workflow(
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app_model=app,
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graph=workflow_data.get("graph", {}),
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features=workflow_data.get("features", {}),
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unique_hash=unique_hash,
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account=account,
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environment_variables=environment_variables,
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conversation_variables=conversation_variables,
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)
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case AppMode.CHAT | AppMode.AGENT_CHAT | AppMode.COMPLETION:
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# Initialize model config
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model_config = data.get("model_config")
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if not model_config or not isinstance(model_config, dict):
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raise ValueError("Missing model_config for chat/agent-chat/completion app")
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# Initialize or update model config
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if not app.app_model_config:
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app_model_config = AppModelConfig(
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app_id=app.id, created_by=account.id, updated_by=account.id
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).from_model_config_dict(cast(AppModelConfigDict, model_config))
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app_model_config.id = str(uuid4())
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app.app_model_config_id = app_model_config.id
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self._session.add(app_model_config)
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app_model_config_was_updated.send(app, app_model_config=app_model_config)
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else:
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raise ValueError("Invalid app mode")
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self._session.add(app_model_config)
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app_model_config_was_updated.send(app, app_model_config=app_model_config)
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case _:
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raise ValueError("Invalid app mode")
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return app
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@classmethod
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