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"""
Use case for executing tools.
"""
from typing import Dict, Any, Optional, List
from uuid import UUID
import logging
import time
from src.core.entities.tool import Tool, ToolType
from src.core.interfaces.tool_repository import ToolRepository
from src.core.interfaces.tool_executor import ToolExecutor
from src.core.interfaces.logging_service import LoggingService
from src.shared.exceptions import DomainException, ValidationException
class ExecuteToolUseCase:
"""
Use case for executing tools.
This use case handles tool execution, validation,
and result processing.
"""
def __init__(
self,
tool_repository: ToolRepository,
tool_executor: ToolExecutor,
logging_service: LoggingService
):
self.tool_repository = tool_repository
self.tool_executor = tool_executor
self.logging_service = logging_service
self.logger = logging.getLogger(__name__)
async def execute_tool(
self,
tool_id: UUID,
parameters: Dict[str, Any],
context: Optional[Dict[str, Any]] = None
) -> Dict[str, Any]:
"""
Execute a tool with given parameters.
Args:
tool_id: ID of the tool to execute
parameters: Tool execution parameters
context: Optional execution context
Returns:
Dictionary containing the execution result
"""
start_time = time.time()
try:
# Validate input
if not parameters:
raise ValidationException("Tool parameters cannot be empty")
# Find tool
tool = await self.tool_repository.find_by_id(tool_id)
if not tool:
raise DomainException(f"Tool {tool_id} not found")
# Validate tool is available
if not tool.is_available:
raise DomainException(f"Tool {tool_id} is not available")
# Execute tool
result = await self.tool_executor.execute(tool, parameters, context)
execution_time = time.time() - start_time
# Log execution
await self.logging_service.log_info(
"tool_executed",
f"Executed tool {tool_id} successfully",
{
"tool_id": str(tool_id),
"tool_name": tool.name,
"execution_time": execution_time,
"success": result.get("success", False)
}
)
return {
"success": True,
"tool_id": str(tool_id),
"tool_name": tool.name,
"result": result.get("result"),
"execution_time": execution_time,
"metadata": result.get("metadata", {})
}
except Exception as e:
execution_time = time.time() - start_time
self.logger.error(f"Tool execution failed: {str(e)}")
await self.logging_service.log_error(
"tool_execution_failed",
str(e),
{
"tool_id": str(tool_id),
"execution_time": execution_time
}
)
return {
"success": False,
"error": str(e),
"execution_time": execution_time
}
async def execute_tool_by_name(
self,
tool_name: str,
parameters: Dict[str, Any],
context: Optional[Dict[str, Any]] = None
) -> Dict[str, Any]:
"""
Execute a tool by name.
Args:
tool_name: Name of the tool to execute
parameters: Tool execution parameters
context: Optional execution context
Returns:
Dictionary containing the execution result
"""
try:
# Find tool by name
tool = await self.tool_repository.find_by_name(tool_name)
if not tool:
raise DomainException(f"Tool '{tool_name}' not found")
# Execute using the found tool
return await self.execute_tool(tool.id, parameters, context)
except Exception as e:
self.logger.error(f"Failed to execute tool by name '{tool_name}': {str(e)}")
return {"success": False, "error": str(e)}
async def validate_tool_parameters(
self,
tool_id: UUID,
parameters: Dict[str, Any]
) -> Dict[str, Any]:
"""
Validate tool parameters before execution.
Args:
tool_id: ID of the tool to validate
parameters: Parameters to validate
Returns:
Dictionary containing validation result
"""
try:
# Find tool
tool = await self.tool_repository.find_by_id(tool_id)
if not tool:
return {"success": False, "error": f"Tool {tool_id} not found"}
# Validate parameters
validation_result = await self.tool_executor.validate_parameters(tool, parameters)
return {
"success": True,
"valid": validation_result.get("valid", False),
"errors": validation_result.get("errors", []),
"warnings": validation_result.get("warnings", [])
}
except Exception as e:
self.logger.error(f"Parameter validation failed: {str(e)}")
return {"success": False, "error": str(e)}
async def get_tool_info(self, tool_id: UUID) -> Dict[str, Any]:
"""
Get tool information.
Args:
tool_id: ID of the tool to retrieve
Returns:
Dictionary containing tool information
"""
try:
tool = await self.tool_repository.find_by_id(tool_id)
if not tool:
return {"success": False, "error": f"Tool {tool_id} not found"}
return {
"success": True,
"tool": {
"id": str(tool.id),
"name": tool.name,
"description": tool.description,
"tool_type": tool.tool_type.value,
"is_available": tool.is_available,
"parameters_schema": tool.parameters_schema,
"created_at": tool.created_at.isoformat() if tool.created_at else None,
"updated_at": tool.updated_at.isoformat() if tool.updated_at else None
}
}
except Exception as e:
self.logger.error(f"Failed to get tool info {tool_id}: {str(e)}")
return {"success": False, "error": str(e)}
async def list_available_tools(self, tool_type: Optional[ToolType] = None) -> Dict[str, Any]:
"""
List available tools, optionally filtered by type.
Args:
tool_type: Optional tool type filter
Returns:
Dictionary containing the list of tools
"""
try:
if tool_type:
tools = await self.tool_repository.find_by_type(tool_type)
else:
tools = await self.tool_repository.find_available()
tool_list = []
for tool in tools:
tool_list.append({
"id": str(tool.id),
"name": tool.name,
"description": tool.description,
"tool_type": tool.tool_type.value,
"is_available": tool.is_available
})
return {
"success": True,
"tools": tool_list,
"count": len(tool_list)
}
except Exception as e:
self.logger.error(f"Failed to list tools: {str(e)}")
return {"success": False, "error": str(e)}
async def get_tool_statistics(self) -> Dict[str, Any]:
"""
Get tool repository statistics.
Returns:
Dictionary containing tool statistics
"""
try:
stats = await self.tool_repository.get_statistics()
return {"success": True, "statistics": stats}
except Exception as e:
self.logger.error(f"Failed to get tool statistics: {str(e)}")
return {"success": False, "error": str(e)} |