merge main
JzoNg
1 year ago
commit
98e44ca2cc
@ -0,0 +1,45 @@
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from collections.abc import Mapping
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from typing import Any
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from configs import dify_config
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from constants import DEFAULT_FILE_NUMBER_LIMITS
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def get_parameters_from_feature_dict(
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*, features_dict: Mapping[str, Any], user_input_form: list[dict[str, Any]]
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) -> Mapping[str, Any]:
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"""
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Mapping from feature dict to webapp parameters
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"""
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return {
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"opening_statement": features_dict.get("opening_statement"),
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"suggested_questions": features_dict.get("suggested_questions", []),
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"suggested_questions_after_answer": features_dict.get("suggested_questions_after_answer", {"enabled": False}),
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"speech_to_text": features_dict.get("speech_to_text", {"enabled": False}),
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"text_to_speech": features_dict.get("text_to_speech", {"enabled": False}),
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"retriever_resource": features_dict.get("retriever_resource", {"enabled": False}),
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"annotation_reply": features_dict.get("annotation_reply", {"enabled": False}),
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"more_like_this": features_dict.get("more_like_this", {"enabled": False}),
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"user_input_form": user_input_form,
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"sensitive_word_avoidance": features_dict.get(
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"sensitive_word_avoidance", {"enabled": False, "type": "", "configs": []}
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),
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"file_upload": features_dict.get(
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"file_upload",
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{
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"image": {
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"enabled": False,
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"number_limits": DEFAULT_FILE_NUMBER_LIMITS,
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"detail": "high",
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"transfer_methods": ["remote_url", "local_file"],
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}
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},
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),
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"system_parameters": {
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"image_file_size_limit": dify_config.UPLOAD_IMAGE_FILE_SIZE_LIMIT,
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"video_file_size_limit": dify_config.UPLOAD_VIDEO_FILE_SIZE_LIMIT,
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"audio_file_size_limit": dify_config.UPLOAD_AUDIO_FILE_SIZE_LIMIT,
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"file_size_limit": dify_config.UPLOAD_FILE_SIZE_LIMIT,
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"workflow_file_upload_limit": dify_config.WORKFLOW_FILE_UPLOAD_LIMIT,
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},
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}
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"""
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Repository interfaces for data access.
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This package contains repository interfaces that define the contract
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for accessing and manipulating data, regardless of the underlying
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storage mechanism.
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"""
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from core.repository.repository_factory import RepositoryFactory
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from core.repository.workflow_node_execution_repository import WorkflowNodeExecutionRepository
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__all__ = [
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"RepositoryFactory",
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"WorkflowNodeExecutionRepository",
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]
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"""
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Repository factory for creating repository instances.
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This module provides a simple factory interface for creating repository instances.
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It does not contain any implementation details or dependencies on specific repositories.
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"""
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from collections.abc import Callable, Mapping
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from typing import Any, Literal, Optional, cast
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from core.repository.workflow_node_execution_repository import WorkflowNodeExecutionRepository
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# Type for factory functions - takes a dict of parameters and returns any repository type
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RepositoryFactoryFunc = Callable[[Mapping[str, Any]], Any]
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# Type for workflow node execution factory function
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WorkflowNodeExecutionFactoryFunc = Callable[[Mapping[str, Any]], WorkflowNodeExecutionRepository]
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# Repository type literals
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_RepositoryType = Literal["workflow_node_execution"]
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class RepositoryFactory:
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"""
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Factory class for creating repository instances.
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This factory delegates the actual repository creation to implementation-specific
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factory functions that are registered with the factory at runtime.
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"""
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# Dictionary to store factory functions
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_factory_functions: dict[str, RepositoryFactoryFunc] = {}
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@classmethod
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def _register_factory(cls, repository_type: _RepositoryType, factory_func: RepositoryFactoryFunc) -> None:
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"""
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Register a factory function for a specific repository type.
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This is a private method and should not be called directly.
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Args:
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repository_type: The type of repository (e.g., 'workflow_node_execution')
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factory_func: A function that takes parameters and returns a repository instance
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"""
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cls._factory_functions[repository_type] = factory_func
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@classmethod
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def _create_repository(cls, repository_type: _RepositoryType, params: Optional[Mapping[str, Any]] = None) -> Any:
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"""
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Create a new repository instance with the provided parameters.
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This is a private method and should not be called directly.
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Args:
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repository_type: The type of repository to create
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params: A dictionary of parameters to pass to the factory function
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Returns:
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A new instance of the requested repository
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Raises:
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ValueError: If no factory function is registered for the repository type
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"""
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if repository_type not in cls._factory_functions:
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raise ValueError(f"No factory function registered for repository type '{repository_type}'")
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# Use empty dict if params is None
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params = params or {}
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return cls._factory_functions[repository_type](params)
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@classmethod
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def register_workflow_node_execution_factory(cls, factory_func: WorkflowNodeExecutionFactoryFunc) -> None:
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"""
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Register a factory function for the workflow node execution repository.
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Args:
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factory_func: A function that takes parameters and returns a WorkflowNodeExecutionRepository instance
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"""
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cls._register_factory("workflow_node_execution", factory_func)
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@classmethod
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def create_workflow_node_execution_repository(
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cls, params: Optional[Mapping[str, Any]] = None
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) -> WorkflowNodeExecutionRepository:
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"""
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Create a new WorkflowNodeExecutionRepository instance with the provided parameters.
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Args:
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params: A dictionary of parameters to pass to the factory function
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Returns:
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A new instance of the WorkflowNodeExecutionRepository
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Raises:
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ValueError: If no factory function is registered for the workflow_node_execution repository type
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"""
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# We can safely cast here because we've registered a WorkflowNodeExecutionFactoryFunc
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return cast(WorkflowNodeExecutionRepository, cls._create_repository("workflow_node_execution", params))
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from collections.abc import Sequence
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from dataclasses import dataclass
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from typing import Literal, Optional, Protocol
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from models.workflow import WorkflowNodeExecution
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@dataclass
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class OrderConfig:
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"""Configuration for ordering WorkflowNodeExecution instances."""
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order_by: list[str]
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order_direction: Optional[Literal["asc", "desc"]] = None
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class WorkflowNodeExecutionRepository(Protocol):
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"""
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Repository interface for WorkflowNodeExecution.
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This interface defines the contract for accessing and manipulating
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WorkflowNodeExecution data, regardless of the underlying storage mechanism.
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Note: Domain-specific concepts like multi-tenancy (tenant_id), application context (app_id),
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and trigger sources (triggered_from) should be handled at the implementation level, not in
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the core interface. This keeps the core domain model clean and independent of specific
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application domains or deployment scenarios.
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"""
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def save(self, execution: WorkflowNodeExecution) -> None:
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"""
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Save a WorkflowNodeExecution instance.
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Args:
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execution: The WorkflowNodeExecution instance to save
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"""
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...
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def get_by_node_execution_id(self, node_execution_id: str) -> Optional[WorkflowNodeExecution]:
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"""
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Retrieve a WorkflowNodeExecution by its node_execution_id.
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Args:
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node_execution_id: The node execution ID
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Returns:
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The WorkflowNodeExecution instance if found, None otherwise
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"""
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...
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def get_by_workflow_run(
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self,
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workflow_run_id: str,
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order_config: Optional[OrderConfig] = None,
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) -> Sequence[WorkflowNodeExecution]:
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"""
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Retrieve all WorkflowNodeExecution instances for a specific workflow run.
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Args:
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workflow_run_id: The workflow run ID
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order_config: Optional configuration for ordering results
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order_config.order_by: List of fields to order by (e.g., ["index", "created_at"])
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order_config.order_direction: Direction to order ("asc" or "desc")
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Returns:
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A list of WorkflowNodeExecution instances
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"""
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...
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def get_running_executions(self, workflow_run_id: str) -> Sequence[WorkflowNodeExecution]:
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"""
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Retrieve all running WorkflowNodeExecution instances for a specific workflow run.
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Args:
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workflow_run_id: The workflow run ID
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Returns:
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A list of running WorkflowNodeExecution instances
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"""
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...
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def update(self, execution: WorkflowNodeExecution) -> None:
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"""
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Update an existing WorkflowNodeExecution instance.
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Args:
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execution: The WorkflowNodeExecution instance to update
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"""
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...
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def clear(self) -> None:
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"""
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Clear all WorkflowNodeExecution records based on implementation-specific criteria.
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This method is intended to be used for bulk deletion operations, such as removing
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all records associated with a specific app_id and tenant_id in multi-tenant implementations.
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"""
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...
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from enum import StrEnum
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class ResponseFormat(StrEnum):
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"""Constants for model response formats"""
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JSON_SCHEMA = "json_schema" # model's structured output mode. some model like gemini, gpt-4o, support this mode.
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JSON = "JSON" # model's json mode. some model like claude support this mode.
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JSON_OBJECT = "json_object" # json mode's another alias. some model like deepseek-chat, qwen use this alias.
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class SpecialModelType(StrEnum):
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"""Constants for identifying model types"""
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GEMINI = "gemini"
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OLLAMA = "ollama"
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class SupportStructuredOutputStatus(StrEnum):
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"""Constants for structured output support status"""
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SUPPORTED = "supported"
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UNSUPPORTED = "unsupported"
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DISABLED = "disabled"
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"""
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Extension for initializing repositories.
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This extension registers repository implementations with the RepositoryFactory.
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"""
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from dify_app import DifyApp
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from repositories.repository_registry import register_repositories
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def init_app(_app: DifyApp) -> None:
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"""
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Initialize repository implementations.
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Args:
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_app: The Flask application instance (unused)
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"""
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register_repositories()
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[virtualenvs]
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in-project = true
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create = true
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prefer-active-python = true
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"""
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Repository implementations for data access.
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This package contains concrete implementations of the repository interfaces
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defined in the core.repository package.
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"""
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"""
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Registry for repository implementations.
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This module is responsible for registering factory functions with the repository factory.
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"""
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import logging
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from collections.abc import Mapping
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from typing import Any
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from sqlalchemy.orm import sessionmaker
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from configs import dify_config
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from core.repository.repository_factory import RepositoryFactory
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from extensions.ext_database import db
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from repositories.workflow_node_execution import SQLAlchemyWorkflowNodeExecutionRepository
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logger = logging.getLogger(__name__)
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# Storage type constants
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STORAGE_TYPE_RDBMS = "rdbms"
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STORAGE_TYPE_HYBRID = "hybrid"
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def register_repositories() -> None:
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"""
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Register repository factory functions with the RepositoryFactory.
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|
This function reads configuration settings to determine which repository
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implementations to register.
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"""
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# Configure WorkflowNodeExecutionRepository factory based on configuration
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workflow_node_execution_storage = dify_config.WORKFLOW_NODE_EXECUTION_STORAGE
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# Check storage type and register appropriate implementation
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if workflow_node_execution_storage == STORAGE_TYPE_RDBMS:
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# Register SQLAlchemy implementation for RDBMS storage
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logger.info("Registering WorkflowNodeExecution repository with RDBMS storage")
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RepositoryFactory.register_workflow_node_execution_factory(create_workflow_node_execution_repository)
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elif workflow_node_execution_storage == STORAGE_TYPE_HYBRID:
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# Hybrid storage is not yet implemented
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raise NotImplementedError("Hybrid storage for WorkflowNodeExecution repository is not yet implemented")
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else:
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# Unknown storage type
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raise ValueError(
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f"Unknown storage type '{workflow_node_execution_storage}' for WorkflowNodeExecution repository. "
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f"Supported types: {STORAGE_TYPE_RDBMS}"
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)
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|
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|
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def create_workflow_node_execution_repository(params: Mapping[str, Any]) -> SQLAlchemyWorkflowNodeExecutionRepository:
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"""
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Create a WorkflowNodeExecutionRepository instance using SQLAlchemy implementation.
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||||||
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This factory function creates a repository for the RDBMS storage type.
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|
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Args:
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params: Parameters for creating the repository, including:
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- tenant_id: Required. The tenant ID for multi-tenancy.
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- app_id: Optional. The application ID for filtering.
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- session_factory: Optional. A SQLAlchemy sessionmaker instance. If not provided,
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a new sessionmaker will be created using the global database engine.
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Returns:
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A WorkflowNodeExecutionRepository instance
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Raises:
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|
ValueError: If required parameters are missing
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|
"""
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||||||
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# Extract required parameters
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tenant_id = params.get("tenant_id")
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if tenant_id is None:
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raise ValueError("tenant_id is required for WorkflowNodeExecution repository with RDBMS storage")
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# Extract optional parameters
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app_id = params.get("app_id")
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# Use the session_factory from params if provided, otherwise create one using the global db engine
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session_factory = params.get("session_factory")
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|
if session_factory is None:
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# Create a sessionmaker using the same engine as the global db session
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session_factory = sessionmaker(bind=db.engine)
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# Create and return the repository
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return SQLAlchemyWorkflowNodeExecutionRepository(
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session_factory=session_factory, tenant_id=tenant_id, app_id=app_id
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||||||
|
)
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||||||
@ -0,0 +1,9 @@
|
|||||||
|
"""
|
||||||
|
WorkflowNodeExecution repository implementations.
|
||||||
|
"""
|
||||||
|
|
||||||
|
from repositories.workflow_node_execution.sqlalchemy_repository import SQLAlchemyWorkflowNodeExecutionRepository
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|
|
||||||
|
__all__ = [
|
||||||
|
"SQLAlchemyWorkflowNodeExecutionRepository",
|
||||||
|
]
|
||||||
@ -0,0 +1,192 @@
|
|||||||
|
"""
|
||||||
|
SQLAlchemy implementation of the WorkflowNodeExecutionRepository.
|
||||||
|
"""
|
||||||
|
|
||||||
|
import logging
|
||||||
|
from collections.abc import Sequence
|
||||||
|
from typing import Optional
|
||||||
|
|
||||||
|
from sqlalchemy import UnaryExpression, asc, delete, desc, select
|
||||||
|
from sqlalchemy.engine import Engine
|
||||||
|
from sqlalchemy.orm import sessionmaker
|
||||||
|
|
||||||
|
from core.repository.workflow_node_execution_repository import OrderConfig
|
||||||
|
from models.workflow import WorkflowNodeExecution, WorkflowNodeExecutionStatus, WorkflowNodeExecutionTriggeredFrom
|
||||||
|
|
||||||
|
logger = logging.getLogger(__name__)
|
||||||
|
|
||||||
|
|
||||||
|
class SQLAlchemyWorkflowNodeExecutionRepository:
|
||||||
|
"""
|
||||||
|
SQLAlchemy implementation of the WorkflowNodeExecutionRepository interface.
|
||||||
|
|
||||||
|
This implementation supports multi-tenancy by filtering operations based on tenant_id.
|
||||||
|
Each method creates its own session, handles the transaction, and commits changes
|
||||||
|
to the database. This prevents long-running connections in the workflow core.
|
||||||
|
"""
|
||||||
|
|
||||||
|
def __init__(self, session_factory: sessionmaker | Engine, tenant_id: str, app_id: Optional[str] = None):
|
||||||
|
"""
|
||||||
|
Initialize the repository with a SQLAlchemy sessionmaker or engine and tenant context.
|
||||||
|
|
||||||
|
Args:
|
||||||
|
session_factory: SQLAlchemy sessionmaker or engine for creating sessions
|
||||||
|
tenant_id: Tenant ID for multi-tenancy
|
||||||
|
app_id: Optional app ID for filtering by application
|
||||||
|
"""
|
||||||
|
# If an engine is provided, create a sessionmaker from it
|
||||||
|
if isinstance(session_factory, Engine):
|
||||||
|
self._session_factory = sessionmaker(bind=session_factory, expire_on_commit=False)
|
||||||
|
else:
|
||||||
|
self._session_factory = session_factory
|
||||||
|
|
||||||
|
self._tenant_id = tenant_id
|
||||||
|
self._app_id = app_id
|
||||||
|
|
||||||
|
def save(self, execution: WorkflowNodeExecution) -> None:
|
||||||
|
"""
|
||||||
|
Save a WorkflowNodeExecution instance and commit changes to the database.
|
||||||
|
|
||||||
|
Args:
|
||||||
|
execution: The WorkflowNodeExecution instance to save
|
||||||
|
"""
|
||||||
|
with self._session_factory() as session:
|
||||||
|
# Ensure tenant_id is set
|
||||||
|
if not execution.tenant_id:
|
||||||
|
execution.tenant_id = self._tenant_id
|
||||||
|
|
||||||
|
# Set app_id if provided and not already set
|
||||||
|
if self._app_id and not execution.app_id:
|
||||||
|
execution.app_id = self._app_id
|
||||||
|
|
||||||
|
session.add(execution)
|
||||||
|
session.commit()
|
||||||
|
|
||||||
|
def get_by_node_execution_id(self, node_execution_id: str) -> Optional[WorkflowNodeExecution]:
|
||||||
|
"""
|
||||||
|
Retrieve a WorkflowNodeExecution by its node_execution_id.
|
||||||
|
|
||||||
|
Args:
|
||||||
|
node_execution_id: The node execution ID
|
||||||
|
|
||||||
|
Returns:
|
||||||
|
The WorkflowNodeExecution instance if found, None otherwise
|
||||||
|
"""
|
||||||
|
with self._session_factory() as session:
|
||||||
|
stmt = select(WorkflowNodeExecution).where(
|
||||||
|
WorkflowNodeExecution.node_execution_id == node_execution_id,
|
||||||
|
WorkflowNodeExecution.tenant_id == self._tenant_id,
|
||||||
|
)
|
||||||
|
|
||||||
|
if self._app_id:
|
||||||
|
stmt = stmt.where(WorkflowNodeExecution.app_id == self._app_id)
|
||||||
|
|
||||||
|
return session.scalar(stmt)
|
||||||
|
|
||||||
|
def get_by_workflow_run(
|
||||||
|
self,
|
||||||
|
workflow_run_id: str,
|
||||||
|
order_config: Optional[OrderConfig] = None,
|
||||||
|
) -> Sequence[WorkflowNodeExecution]:
|
||||||
|
"""
|
||||||
|
Retrieve all WorkflowNodeExecution instances for a specific workflow run.
|
||||||
|
|
||||||
|
Args:
|
||||||
|
workflow_run_id: The workflow run ID
|
||||||
|
order_config: Optional configuration for ordering results
|
||||||
|
order_config.order_by: List of fields to order by (e.g., ["index", "created_at"])
|
||||||
|
order_config.order_direction: Direction to order ("asc" or "desc")
|
||||||
|
|
||||||
|
Returns:
|
||||||
|
A list of WorkflowNodeExecution instances
|
||||||
|
"""
|
||||||
|
with self._session_factory() as session:
|
||||||
|
stmt = select(WorkflowNodeExecution).where(
|
||||||
|
WorkflowNodeExecution.workflow_run_id == workflow_run_id,
|
||||||
|
WorkflowNodeExecution.tenant_id == self._tenant_id,
|
||||||
|
WorkflowNodeExecution.triggered_from == WorkflowNodeExecutionTriggeredFrom.WORKFLOW_RUN,
|
||||||
|
)
|
||||||
|
|
||||||
|
if self._app_id:
|
||||||
|
stmt = stmt.where(WorkflowNodeExecution.app_id == self._app_id)
|
||||||
|
|
||||||
|
# Apply ordering if provided
|
||||||
|
if order_config and order_config.order_by:
|
||||||
|
order_columns: list[UnaryExpression] = []
|
||||||
|
for field in order_config.order_by:
|
||||||
|
column = getattr(WorkflowNodeExecution, field, None)
|
||||||
|
if not column:
|
||||||
|
continue
|
||||||
|
if order_config.order_direction == "desc":
|
||||||
|
order_columns.append(desc(column))
|
||||||
|
else:
|
||||||
|
order_columns.append(asc(column))
|
||||||
|
|
||||||
|
if order_columns:
|
||||||
|
stmt = stmt.order_by(*order_columns)
|
||||||
|
|
||||||
|
return session.scalars(stmt).all()
|
||||||
|
|
||||||
|
def get_running_executions(self, workflow_run_id: str) -> Sequence[WorkflowNodeExecution]:
|
||||||
|
"""
|
||||||
|
Retrieve all running WorkflowNodeExecution instances for a specific workflow run.
|
||||||
|
|
||||||
|
Args:
|
||||||
|
workflow_run_id: The workflow run ID
|
||||||
|
|
||||||
|
Returns:
|
||||||
|
A list of running WorkflowNodeExecution instances
|
||||||
|
"""
|
||||||
|
with self._session_factory() as session:
|
||||||
|
stmt = select(WorkflowNodeExecution).where(
|
||||||
|
WorkflowNodeExecution.workflow_run_id == workflow_run_id,
|
||||||
|
WorkflowNodeExecution.tenant_id == self._tenant_id,
|
||||||
|
WorkflowNodeExecution.status == WorkflowNodeExecutionStatus.RUNNING,
|
||||||
|
WorkflowNodeExecution.triggered_from == WorkflowNodeExecutionTriggeredFrom.WORKFLOW_RUN,
|
||||||
|
)
|
||||||
|
|
||||||
|
if self._app_id:
|
||||||
|
stmt = stmt.where(WorkflowNodeExecution.app_id == self._app_id)
|
||||||
|
|
||||||
|
return session.scalars(stmt).all()
|
||||||
|
|
||||||
|
def update(self, execution: WorkflowNodeExecution) -> None:
|
||||||
|
"""
|
||||||
|
Update an existing WorkflowNodeExecution instance and commit changes to the database.
|
||||||
|
|
||||||
|
Args:
|
||||||
|
execution: The WorkflowNodeExecution instance to update
|
||||||
|
"""
|
||||||
|
with self._session_factory() as session:
|
||||||
|
# Ensure tenant_id is set
|
||||||
|
if not execution.tenant_id:
|
||||||
|
execution.tenant_id = self._tenant_id
|
||||||
|
|
||||||
|
# Set app_id if provided and not already set
|
||||||
|
if self._app_id and not execution.app_id:
|
||||||
|
execution.app_id = self._app_id
|
||||||
|
|
||||||
|
session.merge(execution)
|
||||||
|
session.commit()
|
||||||
|
|
||||||
|
def clear(self) -> None:
|
||||||
|
"""
|
||||||
|
Clear all WorkflowNodeExecution records for the current tenant_id and app_id.
|
||||||
|
|
||||||
|
This method deletes all WorkflowNodeExecution records that match the tenant_id
|
||||||
|
and app_id (if provided) associated with this repository instance.
|
||||||
|
"""
|
||||||
|
with self._session_factory() as session:
|
||||||
|
stmt = delete(WorkflowNodeExecution).where(WorkflowNodeExecution.tenant_id == self._tenant_id)
|
||||||
|
|
||||||
|
if self._app_id:
|
||||||
|
stmt = stmt.where(WorkflowNodeExecution.app_id == self._app_id)
|
||||||
|
|
||||||
|
result = session.execute(stmt)
|
||||||
|
session.commit()
|
||||||
|
|
||||||
|
deleted_count = result.rowcount
|
||||||
|
logger.info(
|
||||||
|
f"Cleared {deleted_count} workflow node execution records for tenant {self._tenant_id}"
|
||||||
|
+ (f" and app {self._app_id}" if self._app_id else "")
|
||||||
|
)
|
||||||
@ -0,0 +1,99 @@
|
|||||||
|
from unittest.mock import MagicMock, patch
|
||||||
|
|
||||||
|
from core.model_runtime.entities.message_entities import AssistantPromptMessage
|
||||||
|
from core.model_runtime.model_providers.__base.large_language_model import _increase_tool_call
|
||||||
|
|
||||||
|
ToolCall = AssistantPromptMessage.ToolCall
|
||||||
|
|
||||||
|
# CASE 1: Single tool call
|
||||||
|
INPUTS_CASE_1 = [
|
||||||
|
ToolCall(id="1", type="function", function=ToolCall.ToolCallFunction(name="func_foo", arguments="")),
|
||||||
|
ToolCall(id="", type="function", function=ToolCall.ToolCallFunction(name="", arguments='{"arg1": ')),
|
||||||
|
ToolCall(id="", type="function", function=ToolCall.ToolCallFunction(name="", arguments='"value"}')),
|
||||||
|
]
|
||||||
|
EXPECTED_CASE_1 = [
|
||||||
|
ToolCall(
|
||||||
|
id="1", type="function", function=ToolCall.ToolCallFunction(name="func_foo", arguments='{"arg1": "value"}')
|
||||||
|
),
|
||||||
|
]
|
||||||
|
|
||||||
|
# CASE 2: Tool call sequences where IDs are anchored to the first chunk (vLLM/SiliconFlow ...)
|
||||||
|
INPUTS_CASE_2 = [
|
||||||
|
ToolCall(id="1", type="function", function=ToolCall.ToolCallFunction(name="func_foo", arguments="")),
|
||||||
|
ToolCall(id="", type="function", function=ToolCall.ToolCallFunction(name="", arguments='{"arg1": ')),
|
||||||
|
ToolCall(id="", type="function", function=ToolCall.ToolCallFunction(name="", arguments='"value"}')),
|
||||||
|
ToolCall(id="2", type="function", function=ToolCall.ToolCallFunction(name="func_bar", arguments="")),
|
||||||
|
ToolCall(id="", type="function", function=ToolCall.ToolCallFunction(name="", arguments='{"arg2": ')),
|
||||||
|
ToolCall(id="", type="function", function=ToolCall.ToolCallFunction(name="", arguments='"value"}')),
|
||||||
|
]
|
||||||
|
EXPECTED_CASE_2 = [
|
||||||
|
ToolCall(
|
||||||
|
id="1", type="function", function=ToolCall.ToolCallFunction(name="func_foo", arguments='{"arg1": "value"}')
|
||||||
|
),
|
||||||
|
ToolCall(
|
||||||
|
id="2", type="function", function=ToolCall.ToolCallFunction(name="func_bar", arguments='{"arg2": "value"}')
|
||||||
|
),
|
||||||
|
]
|
||||||
|
|
||||||
|
# CASE 3: Tool call sequences where IDs are anchored to every chunk (SGLang ...)
|
||||||
|
INPUTS_CASE_3 = [
|
||||||
|
ToolCall(id="1", type="function", function=ToolCall.ToolCallFunction(name="func_foo", arguments="")),
|
||||||
|
ToolCall(id="1", type="function", function=ToolCall.ToolCallFunction(name="", arguments='{"arg1": ')),
|
||||||
|
ToolCall(id="1", type="function", function=ToolCall.ToolCallFunction(name="", arguments='"value"}')),
|
||||||
|
ToolCall(id="2", type="function", function=ToolCall.ToolCallFunction(name="func_bar", arguments="")),
|
||||||
|
ToolCall(id="2", type="function", function=ToolCall.ToolCallFunction(name="", arguments='{"arg2": ')),
|
||||||
|
ToolCall(id="2", type="function", function=ToolCall.ToolCallFunction(name="", arguments='"value"}')),
|
||||||
|
]
|
||||||
|
EXPECTED_CASE_3 = [
|
||||||
|
ToolCall(
|
||||||
|
id="1", type="function", function=ToolCall.ToolCallFunction(name="func_foo", arguments='{"arg1": "value"}')
|
||||||
|
),
|
||||||
|
ToolCall(
|
||||||
|
id="2", type="function", function=ToolCall.ToolCallFunction(name="func_bar", arguments='{"arg2": "value"}')
|
||||||
|
),
|
||||||
|
]
|
||||||
|
|
||||||
|
# CASE 4: Tool call sequences with no IDs
|
||||||
|
INPUTS_CASE_4 = [
|
||||||
|
ToolCall(id="", type="function", function=ToolCall.ToolCallFunction(name="func_foo", arguments="")),
|
||||||
|
ToolCall(id="", type="function", function=ToolCall.ToolCallFunction(name="", arguments='{"arg1": ')),
|
||||||
|
ToolCall(id="", type="function", function=ToolCall.ToolCallFunction(name="", arguments='"value"}')),
|
||||||
|
ToolCall(id="", type="function", function=ToolCall.ToolCallFunction(name="func_bar", arguments="")),
|
||||||
|
ToolCall(id="", type="function", function=ToolCall.ToolCallFunction(name="", arguments='{"arg2": ')),
|
||||||
|
ToolCall(id="", type="function", function=ToolCall.ToolCallFunction(name="", arguments='"value"}')),
|
||||||
|
]
|
||||||
|
EXPECTED_CASE_4 = [
|
||||||
|
ToolCall(
|
||||||
|
id="RANDOM_ID_1",
|
||||||
|
type="function",
|
||||||
|
function=ToolCall.ToolCallFunction(name="func_foo", arguments='{"arg1": "value"}'),
|
||||||
|
),
|
||||||
|
ToolCall(
|
||||||
|
id="RANDOM_ID_2",
|
||||||
|
type="function",
|
||||||
|
function=ToolCall.ToolCallFunction(name="func_bar", arguments='{"arg2": "value"}'),
|
||||||
|
),
|
||||||
|
]
|
||||||
|
|
||||||
|
|
||||||
|
def _run_case(inputs: list[ToolCall], expected: list[ToolCall]):
|
||||||
|
actual = []
|
||||||
|
_increase_tool_call(inputs, actual)
|
||||||
|
assert actual == expected
|
||||||
|
|
||||||
|
|
||||||
|
def test__increase_tool_call():
|
||||||
|
# case 1:
|
||||||
|
_run_case(INPUTS_CASE_1, EXPECTED_CASE_1)
|
||||||
|
|
||||||
|
# case 2:
|
||||||
|
_run_case(INPUTS_CASE_2, EXPECTED_CASE_2)
|
||||||
|
|
||||||
|
# case 3:
|
||||||
|
_run_case(INPUTS_CASE_3, EXPECTED_CASE_3)
|
||||||
|
|
||||||
|
# case 4:
|
||||||
|
mock_id_generator = MagicMock()
|
||||||
|
mock_id_generator.side_effect = [_exp_case.id for _exp_case in EXPECTED_CASE_4]
|
||||||
|
with patch("core.model_runtime.model_providers.__base.large_language_model._gen_tool_call_id", mock_id_generator):
|
||||||
|
_run_case(INPUTS_CASE_4, EXPECTED_CASE_4)
|
||||||
@ -0,0 +1,198 @@
|
|||||||
|
import uuid
|
||||||
|
from unittest.mock import MagicMock, patch
|
||||||
|
|
||||||
|
import pytest
|
||||||
|
from httpx import Response
|
||||||
|
|
||||||
|
from factories.file_factory import (
|
||||||
|
File,
|
||||||
|
FileTransferMethod,
|
||||||
|
FileType,
|
||||||
|
FileUploadConfig,
|
||||||
|
build_from_mapping,
|
||||||
|
)
|
||||||
|
from models import ToolFile, UploadFile
|
||||||
|
|
||||||
|
# Test Data
|
||||||
|
TEST_TENANT_ID = "test_tenant_id"
|
||||||
|
TEST_UPLOAD_FILE_ID = str(uuid.uuid4())
|
||||||
|
TEST_TOOL_FILE_ID = str(uuid.uuid4())
|
||||||
|
TEST_REMOTE_URL = "http://example.com/test.jpg"
|
||||||
|
|
||||||
|
# Test Config
|
||||||
|
TEST_CONFIG = FileUploadConfig(
|
||||||
|
allowed_file_types=["image", "document"],
|
||||||
|
allowed_file_extensions=[".jpg", ".pdf"],
|
||||||
|
allowed_file_upload_methods=[FileTransferMethod.LOCAL_FILE, FileTransferMethod.TOOL_FILE],
|
||||||
|
number_limits=10,
|
||||||
|
)
|
||||||
|
|
||||||
|
|
||||||
|
# Fixtures
|
||||||
|
@pytest.fixture
|
||||||
|
def mock_upload_file():
|
||||||
|
mock = MagicMock(spec=UploadFile)
|
||||||
|
mock.id = TEST_UPLOAD_FILE_ID
|
||||||
|
mock.tenant_id = TEST_TENANT_ID
|
||||||
|
mock.name = "test.jpg"
|
||||||
|
mock.extension = "jpg"
|
||||||
|
mock.mime_type = "image/jpeg"
|
||||||
|
mock.source_url = TEST_REMOTE_URL
|
||||||
|
mock.size = 1024
|
||||||
|
mock.key = "test_key"
|
||||||
|
with patch("factories.file_factory.db.session.scalar", return_value=mock) as m:
|
||||||
|
yield m
|
||||||
|
|
||||||
|
|
||||||
|
@pytest.fixture
|
||||||
|
def mock_tool_file():
|
||||||
|
mock = MagicMock(spec=ToolFile)
|
||||||
|
mock.id = TEST_TOOL_FILE_ID
|
||||||
|
mock.tenant_id = TEST_TENANT_ID
|
||||||
|
mock.name = "tool_file.pdf"
|
||||||
|
mock.file_key = "tool_file.pdf"
|
||||||
|
mock.mimetype = "application/pdf"
|
||||||
|
mock.original_url = "http://example.com/tool.pdf"
|
||||||
|
mock.size = 2048
|
||||||
|
with patch("factories.file_factory.db.session.query") as mock_query:
|
||||||
|
mock_query.return_value.filter.return_value.first.return_value = mock
|
||||||
|
yield mock
|
||||||
|
|
||||||
|
|
||||||
|
@pytest.fixture
|
||||||
|
def mock_http_head():
|
||||||
|
def _mock_response(filename, size, content_type):
|
||||||
|
return Response(
|
||||||
|
status_code=200,
|
||||||
|
headers={
|
||||||
|
"Content-Disposition": f'attachment; filename="{filename}"',
|
||||||
|
"Content-Length": str(size),
|
||||||
|
"Content-Type": content_type,
|
||||||
|
},
|
||||||
|
)
|
||||||
|
|
||||||
|
with patch("factories.file_factory.ssrf_proxy.head") as mock_head:
|
||||||
|
mock_head.return_value = _mock_response("remote_test.jpg", 2048, "image/jpeg")
|
||||||
|
yield mock_head
|
||||||
|
|
||||||
|
|
||||||
|
# Helper functions
|
||||||
|
def local_file_mapping(file_type="image"):
|
||||||
|
return {
|
||||||
|
"transfer_method": "local_file",
|
||||||
|
"upload_file_id": TEST_UPLOAD_FILE_ID,
|
||||||
|
"type": file_type,
|
||||||
|
}
|
||||||
|
|
||||||
|
|
||||||
|
def tool_file_mapping(file_type="document"):
|
||||||
|
return {
|
||||||
|
"transfer_method": "tool_file",
|
||||||
|
"tool_file_id": TEST_TOOL_FILE_ID,
|
||||||
|
"type": file_type,
|
||||||
|
}
|
||||||
|
|
||||||
|
|
||||||
|
# Tests
|
||||||
|
def test_build_from_mapping_backward_compatibility(mock_upload_file):
|
||||||
|
mapping = local_file_mapping(file_type="image")
|
||||||
|
file = build_from_mapping(mapping=mapping, tenant_id=TEST_TENANT_ID)
|
||||||
|
assert isinstance(file, File)
|
||||||
|
assert file.transfer_method == FileTransferMethod.LOCAL_FILE
|
||||||
|
assert file.type == FileType.IMAGE
|
||||||
|
assert file.related_id == TEST_UPLOAD_FILE_ID
|
||||||
|
|
||||||
|
|
||||||
|
@pytest.mark.parametrize(
|
||||||
|
("file_type", "should_pass", "expected_error"),
|
||||||
|
[
|
||||||
|
("image", True, None),
|
||||||
|
("document", False, "Detected file type does not match"),
|
||||||
|
],
|
||||||
|
)
|
||||||
|
def test_build_from_local_file_strict_validation(mock_upload_file, file_type, should_pass, expected_error):
|
||||||
|
mapping = local_file_mapping(file_type=file_type)
|
||||||
|
if should_pass:
|
||||||
|
file = build_from_mapping(mapping=mapping, tenant_id=TEST_TENANT_ID, strict_type_validation=True)
|
||||||
|
assert file.type == FileType(file_type)
|
||||||
|
else:
|
||||||
|
with pytest.raises(ValueError, match=expected_error):
|
||||||
|
build_from_mapping(mapping=mapping, tenant_id=TEST_TENANT_ID, strict_type_validation=True)
|
||||||
|
|
||||||
|
|
||||||
|
@pytest.mark.parametrize(
|
||||||
|
("file_type", "should_pass", "expected_error"),
|
||||||
|
[
|
||||||
|
("document", True, None),
|
||||||
|
("image", False, "Detected file type does not match"),
|
||||||
|
],
|
||||||
|
)
|
||||||
|
def test_build_from_tool_file_strict_validation(mock_tool_file, file_type, should_pass, expected_error):
|
||||||
|
"""Strict type validation for tool_file."""
|
||||||
|
mapping = tool_file_mapping(file_type=file_type)
|
||||||
|
if should_pass:
|
||||||
|
file = build_from_mapping(mapping=mapping, tenant_id=TEST_TENANT_ID, strict_type_validation=True)
|
||||||
|
assert file.type == FileType(file_type)
|
||||||
|
else:
|
||||||
|
with pytest.raises(ValueError, match=expected_error):
|
||||||
|
build_from_mapping(mapping=mapping, tenant_id=TEST_TENANT_ID, strict_type_validation=True)
|
||||||
|
|
||||||
|
|
||||||
|
def test_build_from_remote_url(mock_http_head):
|
||||||
|
mapping = {
|
||||||
|
"transfer_method": "remote_url",
|
||||||
|
"url": TEST_REMOTE_URL,
|
||||||
|
"type": "image",
|
||||||
|
}
|
||||||
|
file = build_from_mapping(mapping=mapping, tenant_id=TEST_TENANT_ID)
|
||||||
|
assert file.transfer_method == FileTransferMethod.REMOTE_URL
|
||||||
|
assert file.type == FileType.IMAGE
|
||||||
|
assert file.filename == "remote_test.jpg"
|
||||||
|
assert file.size == 2048
|
||||||
|
|
||||||
|
|
||||||
|
def test_tool_file_not_found():
|
||||||
|
"""Test ToolFile not found in database."""
|
||||||
|
with patch("factories.file_factory.db.session.query") as mock_query:
|
||||||
|
mock_query.return_value.filter.return_value.first.return_value = None
|
||||||
|
mapping = tool_file_mapping()
|
||||||
|
with pytest.raises(ValueError, match=f"ToolFile {TEST_TOOL_FILE_ID} not found"):
|
||||||
|
build_from_mapping(mapping=mapping, tenant_id=TEST_TENANT_ID)
|
||||||
|
|
||||||
|
|
||||||
|
def test_local_file_not_found():
|
||||||
|
"""Test UploadFile not found in database."""
|
||||||
|
with patch("factories.file_factory.db.session.scalar", return_value=None):
|
||||||
|
mapping = local_file_mapping()
|
||||||
|
with pytest.raises(ValueError, match="Invalid upload file"):
|
||||||
|
build_from_mapping(mapping=mapping, tenant_id=TEST_TENANT_ID)
|
||||||
|
|
||||||
|
|
||||||
|
def test_build_without_type_specification(mock_upload_file):
|
||||||
|
"""Test the situation where no file type is specified"""
|
||||||
|
mapping = {
|
||||||
|
"transfer_method": "local_file",
|
||||||
|
"upload_file_id": TEST_UPLOAD_FILE_ID,
|
||||||
|
# leave out the type
|
||||||
|
}
|
||||||
|
file = build_from_mapping(mapping=mapping, tenant_id=TEST_TENANT_ID)
|
||||||
|
# It should automatically infer the type as "image" based on the file extension
|
||||||
|
assert file.type == FileType.IMAGE
|
||||||
|
|
||||||
|
|
||||||
|
@pytest.mark.parametrize(
|
||||||
|
("file_type", "should_pass", "expected_error"),
|
||||||
|
[
|
||||||
|
("image", True, None),
|
||||||
|
("video", False, "File validation failed"),
|
||||||
|
],
|
||||||
|
)
|
||||||
|
def test_file_validation_with_config(mock_upload_file, file_type, should_pass, expected_error):
|
||||||
|
"""Test the validation of files and configurations"""
|
||||||
|
mapping = local_file_mapping(file_type=file_type)
|
||||||
|
if should_pass:
|
||||||
|
file = build_from_mapping(mapping=mapping, tenant_id=TEST_TENANT_ID, config=TEST_CONFIG)
|
||||||
|
assert file is not None
|
||||||
|
else:
|
||||||
|
with pytest.raises(ValueError, match=expected_error):
|
||||||
|
build_from_mapping(mapping=mapping, tenant_id=TEST_TENANT_ID, config=TEST_CONFIG)
|
||||||
@ -0,0 +1,3 @@
|
|||||||
|
"""
|
||||||
|
Unit tests for repositories.
|
||||||
|
"""
|
||||||
@ -0,0 +1,3 @@
|
|||||||
|
"""
|
||||||
|
Unit tests for workflow_node_execution repositories.
|
||||||
|
"""
|
||||||
@ -0,0 +1,178 @@
|
|||||||
|
"""
|
||||||
|
Unit tests for the SQLAlchemy implementation of WorkflowNodeExecutionRepository.
|
||||||
|
"""
|
||||||
|
|
||||||
|
from unittest.mock import MagicMock
|
||||||
|
|
||||||
|
import pytest
|
||||||
|
from pytest_mock import MockerFixture
|
||||||
|
from sqlalchemy.orm import Session, sessionmaker
|
||||||
|
|
||||||
|
from core.repository.workflow_node_execution_repository import OrderConfig
|
||||||
|
from models.workflow import WorkflowNodeExecution
|
||||||
|
from repositories.workflow_node_execution.sqlalchemy_repository import SQLAlchemyWorkflowNodeExecutionRepository
|
||||||
|
|
||||||
|
|
||||||
|
@pytest.fixture
|
||||||
|
def session():
|
||||||
|
"""Create a mock SQLAlchemy session."""
|
||||||
|
session = MagicMock(spec=Session)
|
||||||
|
# Configure the session to be used as a context manager
|
||||||
|
session.__enter__ = MagicMock(return_value=session)
|
||||||
|
session.__exit__ = MagicMock(return_value=None)
|
||||||
|
|
||||||
|
# Configure the session factory to return the session
|
||||||
|
session_factory = MagicMock(spec=sessionmaker)
|
||||||
|
session_factory.return_value = session
|
||||||
|
return session, session_factory
|
||||||
|
|
||||||
|
|
||||||
|
@pytest.fixture
|
||||||
|
def repository(session):
|
||||||
|
"""Create a repository instance with test data."""
|
||||||
|
_, session_factory = session
|
||||||
|
tenant_id = "test-tenant"
|
||||||
|
app_id = "test-app"
|
||||||
|
return SQLAlchemyWorkflowNodeExecutionRepository(
|
||||||
|
session_factory=session_factory, tenant_id=tenant_id, app_id=app_id
|
||||||
|
)
|
||||||
|
|
||||||
|
|
||||||
|
def test_save(repository, session):
|
||||||
|
"""Test save method."""
|
||||||
|
session_obj, _ = session
|
||||||
|
# Create a mock execution
|
||||||
|
execution = MagicMock(spec=WorkflowNodeExecution)
|
||||||
|
execution.tenant_id = None
|
||||||
|
execution.app_id = None
|
||||||
|
|
||||||
|
# Call save method
|
||||||
|
repository.save(execution)
|
||||||
|
|
||||||
|
# Assert tenant_id and app_id are set
|
||||||
|
assert execution.tenant_id == repository._tenant_id
|
||||||
|
assert execution.app_id == repository._app_id
|
||||||
|
|
||||||
|
# Assert session.add was called
|
||||||
|
session_obj.add.assert_called_once_with(execution)
|
||||||
|
|
||||||
|
|
||||||
|
def test_save_with_existing_tenant_id(repository, session):
|
||||||
|
"""Test save method with existing tenant_id."""
|
||||||
|
session_obj, _ = session
|
||||||
|
# Create a mock execution with existing tenant_id
|
||||||
|
execution = MagicMock(spec=WorkflowNodeExecution)
|
||||||
|
execution.tenant_id = "existing-tenant"
|
||||||
|
execution.app_id = None
|
||||||
|
|
||||||
|
# Call save method
|
||||||
|
repository.save(execution)
|
||||||
|
|
||||||
|
# Assert tenant_id is not changed and app_id is set
|
||||||
|
assert execution.tenant_id == "existing-tenant"
|
||||||
|
assert execution.app_id == repository._app_id
|
||||||
|
|
||||||
|
# Assert session.add was called
|
||||||
|
session_obj.add.assert_called_once_with(execution)
|
||||||
|
|
||||||
|
|
||||||
|
def test_get_by_node_execution_id(repository, session, mocker: MockerFixture):
|
||||||
|
"""Test get_by_node_execution_id method."""
|
||||||
|
session_obj, _ = session
|
||||||
|
# Set up mock
|
||||||
|
mock_select = mocker.patch("repositories.workflow_node_execution.sqlalchemy_repository.select")
|
||||||
|
mock_stmt = mocker.MagicMock()
|
||||||
|
mock_select.return_value = mock_stmt
|
||||||
|
mock_stmt.where.return_value = mock_stmt
|
||||||
|
session_obj.scalar.return_value = mocker.MagicMock(spec=WorkflowNodeExecution)
|
||||||
|
|
||||||
|
# Call method
|
||||||
|
result = repository.get_by_node_execution_id("test-node-execution-id")
|
||||||
|
|
||||||
|
# Assert select was called with correct parameters
|
||||||
|
mock_select.assert_called_once()
|
||||||
|
session_obj.scalar.assert_called_once_with(mock_stmt)
|
||||||
|
assert result is not None
|
||||||
|
|
||||||
|
|
||||||
|
def test_get_by_workflow_run(repository, session, mocker: MockerFixture):
|
||||||
|
"""Test get_by_workflow_run method."""
|
||||||
|
session_obj, _ = session
|
||||||
|
# Set up mock
|
||||||
|
mock_select = mocker.patch("repositories.workflow_node_execution.sqlalchemy_repository.select")
|
||||||
|
mock_stmt = mocker.MagicMock()
|
||||||
|
mock_select.return_value = mock_stmt
|
||||||
|
mock_stmt.where.return_value = mock_stmt
|
||||||
|
mock_stmt.order_by.return_value = mock_stmt
|
||||||
|
session_obj.scalars.return_value.all.return_value = [mocker.MagicMock(spec=WorkflowNodeExecution)]
|
||||||
|
|
||||||
|
# Call method
|
||||||
|
order_config = OrderConfig(order_by=["index"], order_direction="desc")
|
||||||
|
result = repository.get_by_workflow_run(workflow_run_id="test-workflow-run-id", order_config=order_config)
|
||||||
|
|
||||||
|
# Assert select was called with correct parameters
|
||||||
|
mock_select.assert_called_once()
|
||||||
|
session_obj.scalars.assert_called_once_with(mock_stmt)
|
||||||
|
assert len(result) == 1
|
||||||
|
|
||||||
|
|
||||||
|
def test_get_running_executions(repository, session, mocker: MockerFixture):
|
||||||
|
"""Test get_running_executions method."""
|
||||||
|
session_obj, _ = session
|
||||||
|
# Set up mock
|
||||||
|
mock_select = mocker.patch("repositories.workflow_node_execution.sqlalchemy_repository.select")
|
||||||
|
mock_stmt = mocker.MagicMock()
|
||||||
|
mock_select.return_value = mock_stmt
|
||||||
|
mock_stmt.where.return_value = mock_stmt
|
||||||
|
session_obj.scalars.return_value.all.return_value = [mocker.MagicMock(spec=WorkflowNodeExecution)]
|
||||||
|
|
||||||
|
# Call method
|
||||||
|
result = repository.get_running_executions("test-workflow-run-id")
|
||||||
|
|
||||||
|
# Assert select was called with correct parameters
|
||||||
|
mock_select.assert_called_once()
|
||||||
|
session_obj.scalars.assert_called_once_with(mock_stmt)
|
||||||
|
assert len(result) == 1
|
||||||
|
|
||||||
|
|
||||||
|
def test_update(repository, session):
|
||||||
|
"""Test update method."""
|
||||||
|
session_obj, _ = session
|
||||||
|
# Create a mock execution
|
||||||
|
execution = MagicMock(spec=WorkflowNodeExecution)
|
||||||
|
execution.tenant_id = None
|
||||||
|
execution.app_id = None
|
||||||
|
|
||||||
|
# Call update method
|
||||||
|
repository.update(execution)
|
||||||
|
|
||||||
|
# Assert tenant_id and app_id are set
|
||||||
|
assert execution.tenant_id == repository._tenant_id
|
||||||
|
assert execution.app_id == repository._app_id
|
||||||
|
|
||||||
|
# Assert session.merge was called
|
||||||
|
session_obj.merge.assert_called_once_with(execution)
|
||||||
|
|
||||||
|
|
||||||
|
def test_clear(repository, session, mocker: MockerFixture):
|
||||||
|
"""Test clear method."""
|
||||||
|
session_obj, _ = session
|
||||||
|
# Set up mock
|
||||||
|
mock_delete = mocker.patch("repositories.workflow_node_execution.sqlalchemy_repository.delete")
|
||||||
|
mock_stmt = mocker.MagicMock()
|
||||||
|
mock_delete.return_value = mock_stmt
|
||||||
|
mock_stmt.where.return_value = mock_stmt
|
||||||
|
|
||||||
|
# Mock the execute result with rowcount
|
||||||
|
mock_result = mocker.MagicMock()
|
||||||
|
mock_result.rowcount = 5 # Simulate 5 records deleted
|
||||||
|
session_obj.execute.return_value = mock_result
|
||||||
|
|
||||||
|
# Call method
|
||||||
|
repository.clear()
|
||||||
|
|
||||||
|
# Assert delete was called with correct parameters
|
||||||
|
mock_delete.assert_called_once_with(WorkflowNodeExecution)
|
||||||
|
mock_stmt.where.assert_called()
|
||||||
|
session_obj.execute.assert_called_once_with(mock_stmt)
|
||||||
|
session_obj.commit.assert_called_once()
|
||||||
@ -0,0 +1,82 @@
|
|||||||
|
import { fireEvent, render, screen } from '@testing-library/react'
|
||||||
|
import ConfigSelect from './index'
|
||||||
|
|
||||||
|
jest.mock('react-sortablejs', () => ({
|
||||||
|
ReactSortable: ({ children }: { children: React.ReactNode }) => <div>{children}</div>,
|
||||||
|
}))
|
||||||
|
|
||||||
|
jest.mock('react-i18next', () => ({
|
||||||
|
useTranslation: () => ({
|
||||||
|
t: (key: string) => key,
|
||||||
|
}),
|
||||||
|
}))
|
||||||
|
|
||||||
|
describe('ConfigSelect Component', () => {
|
||||||
|
const defaultProps = {
|
||||||
|
options: ['Option 1', 'Option 2'],
|
||||||
|
onChange: jest.fn(),
|
||||||
|
}
|
||||||
|
|
||||||
|
afterEach(() => {
|
||||||
|
jest.clearAllMocks()
|
||||||
|
})
|
||||||
|
|
||||||
|
it('renders all options', () => {
|
||||||
|
render(<ConfigSelect {...defaultProps} />)
|
||||||
|
|
||||||
|
defaultProps.options.forEach((option) => {
|
||||||
|
expect(screen.getByDisplayValue(option)).toBeInTheDocument()
|
||||||
|
})
|
||||||
|
})
|
||||||
|
|
||||||
|
it('renders add button', () => {
|
||||||
|
render(<ConfigSelect {...defaultProps} />)
|
||||||
|
|
||||||
|
expect(screen.getByText('appDebug.variableConfig.addOption')).toBeInTheDocument()
|
||||||
|
})
|
||||||
|
|
||||||
|
it('handles option deletion', () => {
|
||||||
|
render(<ConfigSelect {...defaultProps} />)
|
||||||
|
const optionContainer = screen.getByDisplayValue('Option 1').closest('div')
|
||||||
|
const deleteButton = optionContainer?.querySelector('div[role="button"]')
|
||||||
|
|
||||||
|
if (!deleteButton) return
|
||||||
|
fireEvent.click(deleteButton)
|
||||||
|
expect(defaultProps.onChange).toHaveBeenCalledWith(['Option 2'])
|
||||||
|
})
|
||||||
|
|
||||||
|
it('handles adding new option', () => {
|
||||||
|
render(<ConfigSelect {...defaultProps} />)
|
||||||
|
const addButton = screen.getByText('appDebug.variableConfig.addOption')
|
||||||
|
|
||||||
|
fireEvent.click(addButton)
|
||||||
|
|
||||||
|
expect(defaultProps.onChange).toHaveBeenCalledWith([...defaultProps.options, ''])
|
||||||
|
})
|
||||||
|
|
||||||
|
it('applies focus styles on input focus', () => {
|
||||||
|
render(<ConfigSelect {...defaultProps} />)
|
||||||
|
const firstInput = screen.getByDisplayValue('Option 1')
|
||||||
|
|
||||||
|
fireEvent.focus(firstInput)
|
||||||
|
|
||||||
|
expect(firstInput.closest('div')).toHaveClass('border-components-input-border-active')
|
||||||
|
})
|
||||||
|
|
||||||
|
it('applies delete hover styles', () => {
|
||||||
|
render(<ConfigSelect {...defaultProps} />)
|
||||||
|
const optionContainer = screen.getByDisplayValue('Option 1').closest('div')
|
||||||
|
const deleteButton = optionContainer?.querySelector('div[role="button"]')
|
||||||
|
|
||||||
|
if (!deleteButton) return
|
||||||
|
fireEvent.mouseEnter(deleteButton)
|
||||||
|
expect(optionContainer).toHaveClass('border-components-input-border-destructive')
|
||||||
|
})
|
||||||
|
|
||||||
|
it('renders empty state correctly', () => {
|
||||||
|
render(<ConfigSelect options={[]} onChange={defaultProps.onChange} />)
|
||||||
|
|
||||||
|
expect(screen.queryByRole('textbox')).not.toBeInTheDocument()
|
||||||
|
expect(screen.getByText('appDebug.variableConfig.addOption')).toBeInTheDocument()
|
||||||
|
})
|
||||||
|
})
|
||||||
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Reference in New Issue