#!/usr/bin/env python

# Copyright 2025 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

import logging
import time
from typing import Any

from lerobot.motors import Motor, MotorCalibration, MotorNormMode
from lerobot.motors.damiao import DamiaoMotorsBus
from lerobot.processor import RobotAction
from lerobot.utils.decorators import check_if_already_connected, check_if_not_connected

from ..teleoperator import Teleoperator
from .config_openarm_leader import OpenArmLeaderConfig

logger = logging.getLogger(__name__)


class OpenArmLeader(Teleoperator):
    """
    OpenArm Leader/Teleoperator Arm with Damiao motors.

    This teleoperator uses CAN bus communication to read positions from
    Damiao motors that are manually moved (torque disabled).
    """

    config_class = OpenArmLeaderConfig
    name = "openarm_leader"

    def __init__(self, config: OpenArmLeaderConfig):
        super().__init__(config)
        self.config = config

        # Arm motors
        motors: dict[str, Motor] = {}
        for motor_name, (send_id, recv_id, motor_type_str) in config.motor_config.items():
            motor = Motor(
                send_id, motor_type_str, MotorNormMode.DEGREES
            )  # Always use degrees for Damiao motors
            motor.recv_id = recv_id
            motor.motor_type_str = motor_type_str
            motors[motor_name] = motor

        self.bus = DamiaoMotorsBus(
            port=self.config.port,
            motors=motors,
            calibration=self.calibration,
            can_interface=self.config.can_interface,
            use_can_fd=self.config.use_can_fd,
            bitrate=self.config.can_bitrate,
            data_bitrate=self.config.can_data_bitrate if self.config.use_can_fd else None,
        )

    @property
    def action_features(self) -> dict[str, type]:
        """Features produced by this teleoperator."""
        features: dict[str, type] = {}
        for motor in self.bus.motors:
            features[f"{motor}.pos"] = float
            features[f"{motor}.vel"] = float
            features[f"{motor}.torque"] = float
        return features

    @property
    def feedback_features(self) -> dict[str, type]:
        """Feedback features (not implemented for OpenArms)."""
        return {}

    @property
    def is_connected(self) -> bool:
        """Check if teleoperator is connected."""
        return self.bus.is_connected

    @check_if_already_connected
    def connect(self, calibrate: bool = True) -> None:
        """
        Connect to the teleoperator.

        For manual control, we disable torque after connecting so the
        arm can be moved by hand.
        """

        # Connect to CAN bus
        logger.info(f"Connecting arm on {self.config.port}...")
        self.bus.connect()

        # Run calibration if needed
        if not self.is_calibrated and calibrate:
            logger.info(
                "Mismatch between calibration values in the motor and the calibration file or no calibration file found"
            )
            self.calibrate()

        self.configure()

        if self.is_calibrated:
            self.bus.set_zero_position()

        logger.info(f"{self} connected.")

    @property
    def is_calibrated(self) -> bool:
        """Check if teleoperator is calibrated."""
        return self.bus.is_calibrated

    def calibrate(self) -> None:
        """
        Run calibration procedure for OpenArms leader.

        The calibration procedure:
        1. Disable torque (if not already disabled)
        2. Ask user to position arm in zero position (hanging with gripper closed)
        3. Set this as zero position
        4. Record range of motion for each joint
        5. Save calibration
        """
        if self.calibration:
            # Calibration file exists, ask user whether to use it or run new calibration
            user_input = input(
                f"Press ENTER to use provided calibration file associated with the id {self.id}, or type 'c' and press ENTER to run calibration: "
            )
            if user_input.strip().lower() != "c":
                logger.info(f"Writing calibration file associated with the id {self.id} to the motors")
                self.bus.write_calibration(self.calibration)
                return

        logger.info(f"\nRunning calibration for {self}")
        self.bus.disable_torque()

        # Step 1: Set zero position
        input(
            "\nCalibration: Set Zero Position)\n"
            "Position the arm in the following configuration:\n"
            "  - Arm hanging straight down\n"
            "  - Gripper closed\n"
            "Press ENTER when ready..."
        )

        # Set current position as zero for all motors
        self.bus.set_zero_position()
        logger.info("Arm zero position set.")

        logger.info("Setting range: -90° to +90° by default for all joints")
        # TODO(Steven, Pepijn): Check if MotorCalibration is actually needed here given that we only use Degrees
        for motor_name, motor in self.bus.motors.items():
            self.calibration[motor_name] = MotorCalibration(
                id=motor.id,
                drive_mode=0,
                homing_offset=0,
                range_min=-90,
                range_max=90,
            )

        self.bus.write_calibration(self.calibration)
        self._save_calibration()
        print(f"Calibration saved to {self.calibration_fpath}")

    def configure(self) -> None:
        """
        Configure motors for manual teleoperation.

        For manual control, we disable torque so the arm can be moved by hand.
        """

        return self.bus.disable_torque() if self.config.manual_control else self.bus.configure_motors()

    def setup_motors(self) -> None:
        raise NotImplementedError(
            "Motor ID configuration is typically done via manufacturer tools for CAN motors."
        )

    @check_if_not_connected
    def get_action(self) -> RobotAction:
        """
        Get current action from the leader arm.

        This is the main method for teleoperators - it reads the current state
        of the leader arm and returns it as an action that can be sent to a follower.

        Reads all motor states (pos/vel/torque) in one CAN refresh cycle.
        """
        start = time.perf_counter()

        action_dict: dict[str, Any] = {}

        # Use sync_read_all_states to get pos/vel/torque in one go
        states = self.bus.sync_read_all_states()
        for motor in self.bus.motors:
            state = states.get(motor, {})
            action_dict[f"{motor}.pos"] = state.get("position")
            action_dict[f"{motor}.vel"] = state.get("velocity")
            action_dict[f"{motor}.torque"] = state.get("torque")

        dt_ms = (time.perf_counter() - start) * 1e3
        logger.debug(f"{self} read state: {dt_ms:.1f}ms")

        return action_dict

    def send_feedback(self, feedback: dict[str, float]) -> None:
        raise NotImplementedError("Feedback is not yet implemented for OpenArm leader.")

    @check_if_not_connected
    def disconnect(self) -> None:
        """Disconnect from teleoperator."""

        # Disconnect CAN bus
        # For manual control, ensure torque is disabled before disconnecting
        self.bus.disconnect(disable_torque=self.config.manual_control)
        logger.info(f"{self} disconnected.")
