import zmq
from breezyslam.algorithms import RMHC_SLAM
from breezyslam.sensors import RPLidarA1 as LaserModel
from slam.SlamController_pb2 import SlamScan, SlamLocation
import messaging.message_factory as mf
import messaging.messages as messages
import tracking.devices.factory as lidar_fact


# Left here as was used in the example, configure as necessary.
# MAP_SIZE_PIXELS         = 500
# MAP_SIZE_METERS         = 10
# LIDAR_DEVICE            = '/dev/ttyUSB0'

class SlamStreamer:
    can_scan = False

    def __init__(self, map_pixels=None, map_meters=None, port=None):
        self._map_pixels = map_pixels
        self._map_meters = map_meters
        self._port = port

    def start(self):
        '''
        Does scanning and constructs the slam map,
        and pushes to subscribers through a zmq pub socket.
        This is done on the main thread, so you'll need
        to run this method on a separate thread yourself.

        All constructor parameters must be set prior
        to calling this method, and changing those values after
        calling this method will have no effect.
        '''
        self.can_scan = True
        print('Starting to stream')
        self._mFactory = mf.getZmqPubSubStreamer(self._port)

        print('Started and bound zmq socket.')

        # Adapted from BreezySLAM rpslam example.
        # Connect to Lidar unit. For some reason it likes to be done twice, otherwise it errors out...
        lidar = lidar_fact.get_lidar()
        lidar = lidar_fact.get_lidar()

        print('Initialised lidar')

        # Create an RMHC SLAM object with a laser model and optional robot model
        slam = RMHC_SLAM(LaserModel(), self._map_pixels, self._map_meters)

        print('initialised slam')

        # Initialize empty map
        mapbytes = bytearray(self.map_pixels * self.map_pixels)

        print('Initialised byte []')

        # Create an iterator to collect scan data from the RPLidar
        iterator = lidar.iter_scans()

        print('Scanning')

        while self.can_scan:
            # Extract (quality, angle, distance) triples from current scan
            items = [item for item in next(iterator)]

            # Extract distances and angles from triples
            distances = [item[2] for item in items]
            angles = [item[1] for item in items]
            print('Updating map')
            # Update SLAM with current Lidar scan and scan angles
            slam.update(distances, scan_angles_degrees=angles)
            print('Map updated')
            slam.getmap(mapbytes)
            self._push_map(mapbytes, slam.getpos())

    def _push_map(self, mapbytes, location):
        '''
        Pushes a scan over zmq using protocol buffers.
        map should be the result of slam.getmap.
        location should be a tuple, the result of slam.getpos()
        '''
        protoScan = messages.ProtoMessage(message=SlamScan(map=bytes(mapbytes),
                                                           location=SlamLocation(x=location[0], y=location[1], theta=location[2])))
        print('Sending map')
        self._mFactory.send_message_topic(
            'slam_map', protoScan)

    def stop_scanning(self):
        self.can_scan = False

    # Properties
    @property
    def map_pixels(self):
        return self._map_pixels

    @map_pixels.setter
    def map_pixels(self, value):
        self._map_pixels = value

    @property
    def map_meters(self):
        return self._map_meters

    @map_meters.setter
    def map_meters(self, value):
        self._map_meters = value

    @property
    def lidar_connection(self):
        return self._lidar_connection

    @lidar_connection.setter
    def lidar_connection(self, value):
        self._lidar_connection = value

    @property
    def port(self):
        return self._port

    @port.setter
    def port(self, value):
        self._port = value