from tools.base import Tool


from tools.utils import ToolExecutionError, logger
from typing import Any, Dict

class FHIRPatientTool(Tool):

    def openai_spec(self, legacy=False):
        return {
            "name": self.name,
            "description": self.description,
            "parameters": self.args_schema
        }
    """
    Tool to fetch synthetic patient labs and vitals from a FHIR server by patient ID.

    This tool queries a FHIR API for a given patient ID and returns labs and vitals (placeholder implementation).
    """
    def __init__(self) -> None:
        """
        Initialize the FHIRPatientTool with its name, description, and argument schema.
        """
        super().__init__()
        self.name = "synthetic_patient_lookup"
        self.description = "Fetch synthetic patient labs / vitals from FHIR by patient_id."
        self.args_schema = {
            "type": "object",
            "properties": {
                "patient_id": {"type": "string", "description": "Patient ID to query"}
            },
            "required": ["patient_id"]
        }

    async def run(self, patient_id: str) -> Dict[str, Any]:
        """
        Fetch synthetic patient labs and vitals for a given patient ID.

        Args:
            patient_id (str): The patient ID to query.

        Returns:
            Dict[str, Any]: The patient data (placeholder).
        """
        try:
            # Placeholder for actual FHIR API call
            return {"patient_id": patient_id, "labs": [], "vitals": []}
        except Exception as e:
            logger.error(f"FHIRPatientTool failed: {e}", exc_info=True)
            raise ToolExecutionError(f"FHIRPatientTool failed: {e}")