"""Analysis component implementation."""

from __future__ import annotations

from typing import TYPE_CHECKING, Any

from pytola_sim.lscsim.interfaces.icomponent import IComponent
from pytola_sim.lscsim.utils.logger import get_logger

if TYPE_CHECKING:
    from pytola_sim.lscsim.interfaces.imainctrl import IMainCtrl


class AnalysisComponent(IComponent):
    """Analysis component implementing IComponent interface."""

    def __init__(self) -> None:
        self._main_ctrl: IMainCtrl | None = None
        self._component_id = "Analysis"
        self._is_initialized = False
        logger = get_logger(__name__)
        logger.info("AnalysisComponent created")

    def get_id(self) -> str:
        """Get component ID."""
        return self._component_id

    def set_main_ctrl(self, main_ctrl: IMainCtrl) -> None:
        """Set main controller reference."""
        self._main_ctrl = main_ctrl
        logger = get_logger(__name__)
        logger.debug(f"Main controller set for {self._component_id}")

    def init(self) -> None:
        """Initialize component."""
        logger = get_logger(__name__)
        if not self._is_initialized:
            logger.info(f"Initializing {self._component_id}")
            self._is_initialized = True

    def release(self) -> None:
        """Release component resources."""
        logger = get_logger(__name__)
        logger.info(f"Releasing {self._component_id}")
        self._is_initialized = False

    def get_interface_count(self) -> int:
        """Get number of interfaces provided by this component."""
        return 1

    def get_interface_id(self, index: int) -> str:
        """Get interface ID by index."""
        if index == 0:
            return "IAnalysisCommands"
        return ""

    def get_interface_ptr(self, interface_id: str) -> object | None:
        """Get interface pointer by ID."""
        if interface_id == "IAnalysisCommands":
            return self  # Return self as the command interface
        return None

    def execute_command(
        self,
        command_id: str,
        in_param: object = None,
        out_param: object = None,
    ) -> bool:
        """Execute analysis command."""
        logger = get_logger(__name__)
        logger.debug(f"Executing command: {command_id}")

        command_handlers = {
            "Analysis.SetupCalculation": self._setup_calculation,
            "Analysis.StartCalculation": self._start_calculation,
            "Analysis.PauseCalculation": self._pause_calculation,
            "Analysis.StopCalculation": self._stop_calculation,
            "Analysis.GetProgress": self._get_progress,
            "Analysis.GetResults": self._get_results,
            "Analysis.EnvelopeAnalysis": self._envelope_analysis,
            "Analysis.ExportResults": self._export_results,
        }

        handler = command_handlers.get(command_id)
        if handler:
            try:
                result = handler(in_param, out_param)
                logger.info(f"Command {command_id} executed successfully")
            except Exception:
                logger.exception(f"Command {command_id} failed")
                return False
        else:
            logger.warning(f"Unknown command: {command_id}")
            return False
        return result

    def _setup_calculation(self, in_param: dict[str, Any] | object, out_param: dict[str, Any] | object) -> bool:
        """Set up calculation parameters."""
        logger = get_logger(__name__)
        analysis_type = in_param.get("analysis_type") if isinstance(in_param, dict) else "static"
        solver_type = in_param.get("solver_type", "implicit") if isinstance(in_param, dict) else "implicit"
        logger.info(f"Setting up {analysis_type} analysis with {solver_type} solver")
        # Implementation for calculation setup
        return True

    def _start_calculation(self, in_param: dict[str, Any] | object, out_param: dict[str, Any] | object) -> bool:
        """Start calculation process."""
        logger = get_logger(__name__)
        logger.info("Starting calculation process")
        # Implementation for calculation start
        # This would typically launch a subprocess for the solver
        return True

    def _pause_calculation(self, in_param: dict[str, Any] | object, out_param: dict[str, Any] | object) -> bool:
        """Pause ongoing calculation."""
        logger = get_logger(__name__)
        logger.info("Pausing calculation process")
        # Implementation for calculation pause
        return True

    def _stop_calculation(self, in_param: dict[str, Any] | object, out_param: dict[str, Any] | object) -> bool:
        """Stop calculation process."""
        logger = get_logger(__name__)
        logger.info("Stopping calculation process")
        # Implementation for calculation stop
        return True

    def _get_progress(self, in_param: dict[str, Any] | object, out_param: dict[str, Any] | object) -> bool:
        """Get calculation progress."""
        logger = get_logger(__name__)
        logger.info("Getting calculation progress")
        # Implementation for progress monitoring
        if isinstance(out_param, dict):
            out_param["progress"] = 0.0
            out_param["status"] = "ready"
        return True

    def _get_results(self, in_param: dict[str, Any] | object, out_param: dict[str, Any] | object) -> bool:
        """Get analysis results."""
        logger = get_logger(__name__)
        logger.info("Getting analysis results")
        # Implementation for result retrieval
        if isinstance(out_param, dict):
            out_param["results"] = {}
        return True

    def _envelope_analysis(self, in_param: dict[str, Any] | object, out_param: dict[str, Any] | object) -> bool:
        """Perform envelope analysis."""
        logger = get_logger(__name__)
        logger.info("Performing envelope analysis")
        # Implementation for envelope analysis
        return True

    def _export_results(self, in_param: dict[str, Any] | object, out_param: dict[str, Any] | object) -> bool:
        """Export analysis results."""
        logger = get_logger(__name__)
        export_format = in_param.get("format", "csv") if isinstance(in_param, dict) else "csv"
        logger.info(f"Exporting results in {export_format} format")
        # Implementation for result export
        return True
