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fix(api/services/workflow/workflow_converter.py): Add NoneType checkers & format file. (#7446)
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@ -32,12 +32,9 @@ class WorkflowConverter:
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App Convert to Workflow Mode
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"""
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def convert_to_workflow(self, app_model: App,
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account: Account,
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name: str,
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icon_type: str,
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icon: str,
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icon_background: str) -> App:
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def convert_to_workflow(
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self, app_model: App, account: Account, name: str, icon_type: str, icon: str, icon_background: str
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):
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"""
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Convert app to workflow
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@ -56,18 +53,18 @@ class WorkflowConverter:
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:return: new App instance
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"""
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# convert app model config
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if not app_model.app_model_config:
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raise ValueError("App model config is required")
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workflow = self.convert_app_model_config_to_workflow(
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app_model=app_model,
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app_model_config=app_model.app_model_config,
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account_id=account.id
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app_model=app_model, app_model_config=app_model.app_model_config, account_id=account.id
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)
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# create new app
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new_app = App()
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new_app.tenant_id = app_model.tenant_id
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new_app.name = name if name else app_model.name + '(workflow)'
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new_app.mode = AppMode.ADVANCED_CHAT.value \
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if app_model.mode == AppMode.CHAT.value else AppMode.WORKFLOW.value
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new_app.name = name if name else app_model.name + "(workflow)"
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new_app.mode = AppMode.ADVANCED_CHAT.value if app_model.mode == AppMode.CHAT.value else AppMode.WORKFLOW.value
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new_app.icon_type = icon_type if icon_type else app_model.icon_type
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new_app.icon = icon if icon else app_model.icon
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new_app.icon_background = icon_background if icon_background else app_model.icon_background
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@ -88,30 +85,21 @@ class WorkflowConverter:
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return new_app
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def convert_app_model_config_to_workflow(self, app_model: App,
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app_model_config: AppModelConfig,
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account_id: str) -> Workflow:
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def convert_app_model_config_to_workflow(self, app_model: App, app_model_config: AppModelConfig, account_id: str):
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"""
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Convert app model config to workflow mode
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:param app_model: App instance
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:param app_model_config: AppModelConfig instance
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:param account_id: Account ID
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:return:
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"""
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# get new app mode
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new_app_mode = self._get_new_app_mode(app_model)
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# convert app model config
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app_config = self._convert_to_app_config(
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app_model=app_model,
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app_model_config=app_model_config
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)
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app_config = self._convert_to_app_config(app_model=app_model, app_model_config=app_model_config)
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# init workflow graph
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graph = {
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"nodes": [],
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"edges": []
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}
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graph = {"nodes": [], "edges": []}
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# Convert list:
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# - variables -> start
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@ -123,11 +111,9 @@ class WorkflowConverter:
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# - show_retrieve_source -> knowledge-retrieval
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# convert to start node
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start_node = self._convert_to_start_node(
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variables=app_config.variables
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)
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start_node = self._convert_to_start_node(variables=app_config.variables)
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graph['nodes'].append(start_node)
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graph["nodes"].append(start_node)
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# convert to http request node
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external_data_variable_node_mapping = {}
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@ -135,7 +121,7 @@ class WorkflowConverter:
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http_request_nodes, external_data_variable_node_mapping = self._convert_to_http_request_node(
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app_model=app_model,
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variables=app_config.variables,
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external_data_variables=app_config.external_data_variables
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external_data_variables=app_config.external_data_variables,
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)
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for http_request_node in http_request_nodes:
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@ -144,9 +130,7 @@ class WorkflowConverter:
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# convert to knowledge retrieval node
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if app_config.dataset:
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knowledge_retrieval_node = self._convert_to_knowledge_retrieval_node(
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new_app_mode=new_app_mode,
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dataset_config=app_config.dataset,
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model_config=app_config.model
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new_app_mode=new_app_mode, dataset_config=app_config.dataset, model_config=app_config.model
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)
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if knowledge_retrieval_node:
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@ -160,7 +144,7 @@ class WorkflowConverter:
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model_config=app_config.model,
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prompt_template=app_config.prompt_template,
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file_upload=app_config.additional_features.file_upload,
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external_data_variable_node_mapping=external_data_variable_node_mapping
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external_data_variable_node_mapping=external_data_variable_node_mapping,
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)
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graph = self._append_node(graph, llm_node)
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@ -199,7 +183,7 @@ class WorkflowConverter:
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tenant_id=app_model.tenant_id,
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app_id=app_model.id,
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type=WorkflowType.from_app_mode(new_app_mode).value,
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version='draft',
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version="draft",
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graph=json.dumps(graph),
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features=json.dumps(features),
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created_by=account_id,
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@ -212,24 +196,18 @@ class WorkflowConverter:
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return workflow
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def _convert_to_app_config(self, app_model: App,
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app_model_config: AppModelConfig) -> EasyUIBasedAppConfig:
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def _convert_to_app_config(self, app_model: App, app_model_config: AppModelConfig) -> EasyUIBasedAppConfig:
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app_mode = AppMode.value_of(app_model.mode)
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if app_mode == AppMode.AGENT_CHAT or app_model.is_agent:
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app_model.mode = AppMode.AGENT_CHAT.value
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app_config = AgentChatAppConfigManager.get_app_config(
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app_model=app_model,
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app_model_config=app_model_config
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app_model=app_model, app_model_config=app_model_config
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)
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elif app_mode == AppMode.CHAT:
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app_config = ChatAppConfigManager.get_app_config(
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app_model=app_model,
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app_model_config=app_model_config
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)
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app_config = ChatAppConfigManager.get_app_config(app_model=app_model, app_model_config=app_model_config)
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elif app_mode == AppMode.COMPLETION:
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app_config = CompletionAppConfigManager.get_app_config(
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app_model=app_model,
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app_model_config=app_model_config
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app_model=app_model, app_model_config=app_model_config
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)
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else:
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raise ValueError("Invalid app mode")
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@ -248,14 +226,13 @@ class WorkflowConverter:
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"data": {
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"title": "START",
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"type": NodeType.START.value,
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"variables": [jsonable_encoder(v) for v in variables]
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}
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"variables": [jsonable_encoder(v) for v in variables],
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},
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}
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def _convert_to_http_request_node(self, app_model: App,
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variables: list[VariableEntity],
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external_data_variables: list[ExternalDataVariableEntity]) \
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-> tuple[list[dict], dict[str, str]]:
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def _convert_to_http_request_node(
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self, app_model: App, variables: list[VariableEntity], external_data_variables: list[ExternalDataVariableEntity]
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) -> tuple[list[dict], dict[str, str]]:
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"""
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Convert API Based Extension to HTTP Request Node
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:param app_model: App instance
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@ -277,40 +254,33 @@ class WorkflowConverter:
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# get params from config
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api_based_extension_id = tool_config.get("api_based_extension_id")
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if not api_based_extension_id:
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continue
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# get api_based_extension
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api_based_extension = self._get_api_based_extension(
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tenant_id=tenant_id,
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api_based_extension_id=api_based_extension_id
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tenant_id=tenant_id, api_based_extension_id=api_based_extension_id
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)
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if not api_based_extension:
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raise ValueError("[External data tool] API query failed, variable: {}, "
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"error: api_based_extension_id is invalid"
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.format(tool_variable))
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# decrypt api_key
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api_key = encrypter.decrypt_token(
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tenant_id=tenant_id,
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token=api_based_extension.api_key
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)
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api_key = encrypter.decrypt_token(tenant_id=tenant_id, token=api_based_extension.api_key)
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inputs = {}
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for v in variables:
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inputs[v.variable] = '{{#start.' + v.variable + '#}}'
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inputs[v.variable] = "{{#start." + v.variable + "#}}"
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request_body = {
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'point': APIBasedExtensionPoint.APP_EXTERNAL_DATA_TOOL_QUERY.value,
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'params': {
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'app_id': app_model.id,
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'tool_variable': tool_variable,
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'inputs': inputs,
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'query': '{{#sys.query#}}' if app_model.mode == AppMode.CHAT.value else ''
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}
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"point": APIBasedExtensionPoint.APP_EXTERNAL_DATA_TOOL_QUERY.value,
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"params": {
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"app_id": app_model.id,
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"tool_variable": tool_variable,
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"inputs": inputs,
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"query": "{{#sys.query#}}" if app_model.mode == AppMode.CHAT.value else "",
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},
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}
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request_body_json = json.dumps(request_body)
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request_body_json = request_body_json.replace(r'\{\{', '{{').replace(r'\}\}', '}}')
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request_body_json = request_body_json.replace(r"\{\{", "{{").replace(r"\}\}", "}}")
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http_request_node = {
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"id": f"http_request_{index}",
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@ -320,20 +290,11 @@ class WorkflowConverter:
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"type": NodeType.HTTP_REQUEST.value,
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"method": "post",
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"url": api_based_extension.api_endpoint,
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"authorization": {
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"type": "api-key",
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"config": {
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"type": "bearer",
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"api_key": api_key
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}
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},
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"authorization": {"type": "api-key", "config": {"type": "bearer", "api_key": api_key}},
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"headers": "",
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"params": "",
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"body": {
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"type": "json",
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"data": request_body_json
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}
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}
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"body": {"type": "json", "data": request_body_json},
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},
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}
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nodes.append(http_request_node)
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@ -345,32 +306,24 @@ class WorkflowConverter:
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"data": {
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"title": f"Parse {api_based_extension.name} Response",
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"type": NodeType.CODE.value,
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"variables": [{
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"variable": "response_json",
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"value_selector": [http_request_node['id'], "body"]
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}],
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"variables": [{"variable": "response_json", "value_selector": [http_request_node["id"], "body"]}],
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"code_language": "python3",
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"code": "import json\n\ndef main(response_json: str) -> str:\n response_body = json.loads("
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"response_json)\n return {\n \"result\": response_body[\"result\"]\n }",
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"outputs": {
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"result": {
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"type": "string"
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}
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}
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}
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'response_json)\n return {\n "result": response_body["result"]\n }',
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"outputs": {"result": {"type": "string"}},
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},
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}
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nodes.append(code_node)
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external_data_variable_node_mapping[external_data_variable.variable] = code_node['id']
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external_data_variable_node_mapping[external_data_variable.variable] = code_node["id"]
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index += 1
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return nodes, external_data_variable_node_mapping
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def _convert_to_knowledge_retrieval_node(self, new_app_mode: AppMode,
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dataset_config: DatasetEntity,
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model_config: ModelConfigEntity) \
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-> Optional[dict]:
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def _convert_to_knowledge_retrieval_node(
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self, new_app_mode: AppMode, dataset_config: DatasetEntity, model_config: ModelConfigEntity
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) -> Optional[dict]:
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"""
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Convert datasets to Knowledge Retrieval Node
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:param new_app_mode: new app mode
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@ -404,7 +357,7 @@ class WorkflowConverter:
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"completion_params": {
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**model_config.parameters,
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"stop": model_config.stop,
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}
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},
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}
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}
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if retrieve_config.retrieve_strategy == DatasetRetrieveConfigEntity.RetrieveStrategy.SINGLE
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@ -412,20 +365,23 @@ class WorkflowConverter:
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"multiple_retrieval_config": {
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"top_k": retrieve_config.top_k,
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"score_threshold": retrieve_config.score_threshold,
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"reranking_model": retrieve_config.reranking_model
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"reranking_model": retrieve_config.reranking_model,
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}
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if retrieve_config.retrieve_strategy == DatasetRetrieveConfigEntity.RetrieveStrategy.MULTIPLE
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else None,
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}
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},
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}
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def _convert_to_llm_node(self, original_app_mode: AppMode,
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new_app_mode: AppMode,
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graph: dict,
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model_config: ModelConfigEntity,
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prompt_template: PromptTemplateEntity,
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file_upload: Optional[FileExtraConfig] = None,
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external_data_variable_node_mapping: dict[str, str] = None) -> dict:
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def _convert_to_llm_node(
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self,
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original_app_mode: AppMode,
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new_app_mode: AppMode,
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graph: dict,
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model_config: ModelConfigEntity,
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prompt_template: PromptTemplateEntity,
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file_upload: Optional[FileExtraConfig] = None,
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external_data_variable_node_mapping: dict[str, str] | None = None,
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) -> dict:
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"""
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Convert to LLM Node
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:param original_app_mode: original app mode
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@ -437,17 +393,18 @@ class WorkflowConverter:
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:param external_data_variable_node_mapping: external data variable node mapping
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"""
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# fetch start and knowledge retrieval node
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start_node = next(filter(lambda n: n['data']['type'] == NodeType.START.value, graph['nodes']))
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knowledge_retrieval_node = next(filter(
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lambda n: n['data']['type'] == NodeType.KNOWLEDGE_RETRIEVAL.value,
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graph['nodes']
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), None)
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start_node = next(filter(lambda n: n["data"]["type"] == NodeType.START.value, graph["nodes"]))
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knowledge_retrieval_node = next(
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filter(lambda n: n["data"]["type"] == NodeType.KNOWLEDGE_RETRIEVAL.value, graph["nodes"]), None
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)
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role_prefix = None
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# Chat Model
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if model_config.mode == LLMMode.CHAT.value:
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if prompt_template.prompt_type == PromptTemplateEntity.PromptType.SIMPLE:
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if not prompt_template.simple_prompt_template:
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raise ValueError("Simple prompt template is required")
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# get prompt template
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prompt_transform = SimplePromptTransform()
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prompt_template_config = prompt_transform.get_prompt_template(
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@ -456,45 +413,35 @@ class WorkflowConverter:
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model=model_config.model,
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pre_prompt=prompt_template.simple_prompt_template,
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has_context=knowledge_retrieval_node is not None,
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query_in_prompt=False
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query_in_prompt=False,
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)
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template = prompt_template_config['prompt_template'].template
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template = prompt_template_config["prompt_template"].template
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if not template:
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prompts = []
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else:
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template = self._replace_template_variables(
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template,
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start_node['data']['variables'],
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external_data_variable_node_mapping
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template, start_node["data"]["variables"], external_data_variable_node_mapping
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)
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prompts = [
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{
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"role": 'user',
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"text": template
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}
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]
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prompts = [{"role": "user", "text": template}]
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else:
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advanced_chat_prompt_template = prompt_template.advanced_chat_prompt_template
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prompts = []
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for m in advanced_chat_prompt_template.messages:
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if advanced_chat_prompt_template:
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if advanced_chat_prompt_template:
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for m in advanced_chat_prompt_template.messages:
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text = m.text
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text = self._replace_template_variables(
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text,
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start_node['data']['variables'],
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external_data_variable_node_mapping
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text, start_node["data"]["variables"], external_data_variable_node_mapping
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)
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prompts.append({
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"role": m.role.value,
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"text": text
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})
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prompts.append({"role": m.role.value, "text": text})
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# Completion Model
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else:
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if prompt_template.prompt_type == PromptTemplateEntity.PromptType.SIMPLE:
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if not prompt_template.simple_prompt_template:
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raise ValueError("Simple prompt template is required")
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# get prompt template
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prompt_transform = SimplePromptTransform()
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prompt_template_config = prompt_transform.get_prompt_template(
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@ -503,57 +450,50 @@ class WorkflowConverter:
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model=model_config.model,
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pre_prompt=prompt_template.simple_prompt_template,
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has_context=knowledge_retrieval_node is not None,
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query_in_prompt=False
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query_in_prompt=False,
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)
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template = prompt_template_config['prompt_template'].template
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template = prompt_template_config["prompt_template"].template
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template = self._replace_template_variables(
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template,
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start_node['data']['variables'],
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external_data_variable_node_mapping
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template=template,
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variables=start_node["data"]["variables"],
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external_data_variable_node_mapping=external_data_variable_node_mapping,
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)
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||||
prompts = {
|
||||
"text": template
|
||||
}
|
||||
prompts = {"text": template}
|
||||
|
||||
prompt_rules = prompt_template_config['prompt_rules']
|
||||
prompt_rules = prompt_template_config["prompt_rules"]
|
||||
role_prefix = {
|
||||
"user": prompt_rules.get('human_prefix', 'Human'),
|
||||
"assistant": prompt_rules.get('assistant_prefix', 'Assistant')
|
||||
"user": prompt_rules.get("human_prefix", "Human"),
|
||||
"assistant": prompt_rules.get("assistant_prefix", "Assistant"),
|
||||
}
|
||||
else:
|
||||
advanced_completion_prompt_template = prompt_template.advanced_completion_prompt_template
|
||||
if advanced_completion_prompt_template:
|
||||
text = advanced_completion_prompt_template.prompt
|
||||
text = self._replace_template_variables(
|
||||
text,
|
||||
start_node['data']['variables'],
|
||||
external_data_variable_node_mapping
|
||||
template=text,
|
||||
variables=start_node["data"]["variables"],
|
||||
external_data_variable_node_mapping=external_data_variable_node_mapping,
|
||||
)
|
||||
else:
|
||||
text = ""
|
||||
|
||||
text = text.replace('{{#query#}}', '{{#sys.query#}}')
|
||||
text = text.replace("{{#query#}}", "{{#sys.query#}}")
|
||||
|
||||
prompts = {
|
||||
"text": text,
|
||||
}
|
||||
|
||||
if advanced_completion_prompt_template.role_prefix:
|
||||
if advanced_completion_prompt_template and advanced_completion_prompt_template.role_prefix:
|
||||
role_prefix = {
|
||||
"user": advanced_completion_prompt_template.role_prefix.user,
|
||||
"assistant": advanced_completion_prompt_template.role_prefix.assistant
|
||||
"assistant": advanced_completion_prompt_template.role_prefix.assistant,
|
||||
}
|
||||
|
||||
memory = None
|
||||
if new_app_mode == AppMode.ADVANCED_CHAT:
|
||||
memory = {
|
||||
"role_prefix": role_prefix,
|
||||
"window": {
|
||||
"enabled": False
|
||||
}
|
||||
}
|
||||
memory = {"role_prefix": role_prefix, "window": {"enabled": False}}
|
||||
|
||||
completion_params = model_config.parameters
|
||||
completion_params.update({"stop": model_config.stop})
|
||||
@ -567,28 +507,29 @@ class WorkflowConverter:
|
||||
"provider": model_config.provider,
|
||||
"name": model_config.model,
|
||||
"mode": model_config.mode,
|
||||
"completion_params": completion_params
|
||||
"completion_params": completion_params,
|
||||
},
|
||||
"prompt_template": prompts,
|
||||
"memory": memory,
|
||||
"context": {
|
||||
"enabled": knowledge_retrieval_node is not None,
|
||||
"variable_selector": ["knowledge_retrieval", "result"]
|
||||
if knowledge_retrieval_node is not None else None
|
||||
if knowledge_retrieval_node is not None
|
||||
else None,
|
||||
},
|
||||
"vision": {
|
||||
"enabled": file_upload is not None,
|
||||
"variable_selector": ["sys", "files"] if file_upload is not None else None,
|
||||
"configs": {
|
||||
"detail": file_upload.image_config['detail']
|
||||
} if file_upload is not None else None
|
||||
}
|
||||
}
|
||||
"configs": {"detail": file_upload.image_config["detail"]}
|
||||
if file_upload is not None and file_upload.image_config is not None
|
||||
else None,
|
||||
},
|
||||
},
|
||||
}
|
||||
|
||||
def _replace_template_variables(self, template: str,
|
||||
variables: list[dict],
|
||||
external_data_variable_node_mapping: dict[str, str] = None) -> str:
|
||||
def _replace_template_variables(
|
||||
self, template: str, variables: list[dict], external_data_variable_node_mapping: dict[str, str] | None = None
|
||||
) -> str:
|
||||
"""
|
||||
Replace Template Variables
|
||||
:param template: template
|
||||
@ -597,12 +538,11 @@ class WorkflowConverter:
|
||||
:return:
|
||||
"""
|
||||
for v in variables:
|
||||
template = template.replace('{{' + v['variable'] + '}}', '{{#start.' + v['variable'] + '#}}')
|
||||
template = template.replace("{{" + v["variable"] + "}}", "{{#start." + v["variable"] + "#}}")
|
||||
|
||||
if external_data_variable_node_mapping:
|
||||
for variable, code_node_id in external_data_variable_node_mapping.items():
|
||||
template = template.replace('{{' + variable + '}}',
|
||||
'{{#' + code_node_id + '.result#}}')
|
||||
template = template.replace("{{" + variable + "}}", "{{#" + code_node_id + ".result#}}")
|
||||
|
||||
return template
|
||||
|
||||
@ -618,11 +558,8 @@ class WorkflowConverter:
|
||||
"data": {
|
||||
"title": "END",
|
||||
"type": NodeType.END.value,
|
||||
"outputs": [{
|
||||
"variable": "result",
|
||||
"value_selector": ["llm", "text"]
|
||||
}]
|
||||
}
|
||||
"outputs": [{"variable": "result", "value_selector": ["llm", "text"]}],
|
||||
},
|
||||
}
|
||||
|
||||
def _convert_to_answer_node(self) -> dict:
|
||||
@ -634,11 +571,7 @@ class WorkflowConverter:
|
||||
return {
|
||||
"id": "answer",
|
||||
"position": None,
|
||||
"data": {
|
||||
"title": "ANSWER",
|
||||
"type": NodeType.ANSWER.value,
|
||||
"answer": "{{#llm.text#}}"
|
||||
}
|
||||
"data": {"title": "ANSWER", "type": NodeType.ANSWER.value, "answer": "{{#llm.text#}}"},
|
||||
}
|
||||
|
||||
def _create_edge(self, source: str, target: str) -> dict:
|
||||
@ -648,11 +581,7 @@ class WorkflowConverter:
|
||||
:param target: target node id
|
||||
:return:
|
||||
"""
|
||||
return {
|
||||
"id": f"{source}-{target}",
|
||||
"source": source,
|
||||
"target": target
|
||||
}
|
||||
return {"id": f"{source}-{target}", "source": source, "target": target}
|
||||
|
||||
def _append_node(self, graph: dict, node: dict) -> dict:
|
||||
"""
|
||||
@ -662,9 +591,9 @@ class WorkflowConverter:
|
||||
:param node: Node to append
|
||||
:return:
|
||||
"""
|
||||
previous_node = graph['nodes'][-1]
|
||||
graph['nodes'].append(node)
|
||||
graph['edges'].append(self._create_edge(previous_node['id'], node['id']))
|
||||
previous_node = graph["nodes"][-1]
|
||||
graph["nodes"].append(node)
|
||||
graph["edges"].append(self._create_edge(previous_node["id"], node["id"]))
|
||||
return graph
|
||||
|
||||
def _get_new_app_mode(self, app_model: App) -> AppMode:
|
||||
@ -678,14 +607,20 @@ class WorkflowConverter:
|
||||
else:
|
||||
return AppMode.ADVANCED_CHAT
|
||||
|
||||
def _get_api_based_extension(self, tenant_id: str, api_based_extension_id: str) -> APIBasedExtension:
|
||||
def _get_api_based_extension(self, tenant_id: str, api_based_extension_id: str):
|
||||
"""
|
||||
Get API Based Extension
|
||||
:param tenant_id: tenant id
|
||||
:param api_based_extension_id: api based extension id
|
||||
:return:
|
||||
"""
|
||||
return db.session.query(APIBasedExtension).filter(
|
||||
APIBasedExtension.tenant_id == tenant_id,
|
||||
APIBasedExtension.id == api_based_extension_id
|
||||
).first()
|
||||
api_based_extension = (
|
||||
db.session.query(APIBasedExtension)
|
||||
.filter(APIBasedExtension.tenant_id == tenant_id, APIBasedExtension.id == api_based_extension_id)
|
||||
.first()
|
||||
)
|
||||
|
||||
if not api_based_extension:
|
||||
raise ValueError(f"API Based Extension not found, id: {api_based_extension_id}")
|
||||
|
||||
return api_based_extension
|
||||
|
||||
Loading…
x
Reference in New Issue
Block a user