# Eclipse SUMO, Simulation of Urban MObility; see https://eclipse.org/sumo
# Copyright (C) 2008-2019 German Aerospace Center (DLR) and others.
# This program and the accompanying materials
# are made available under the terms of the Eclipse Public License v2.0
# which accompanies this distribution, and is available at
# http://www.eclipse.org/legal/epl-v20.html
# SPDX-License-Identifier: EPL-2.0

# @file    netshiftadaptor.py
# @author  Daniel Krajzewicz
# @author  Michael Behrisch
# @date    2008-09-01
# @version $Id$

"""

This class performs a network reprojection
 using barycentric cordinates of two triangles
 which share the same nodes of two networks.

This means: the class is initialised with two
 networks and two lists of node ids (should be
 exactly three). The according nodes should be
 the "same" nodes in both networks.
When "reproject" is called, all nodes' position
 of the second network are reprojected so that
 they match positions within the first network.
"""


class NetShiftAdaptor:

    def __init__(self, net1, net2, nodes1, nodes2):
        self._net1 = net1
        self._net2 = net2
        self._nodes1 = nodes1
        self._nodes2 = nodes2
        if len(nodes1) != 3 or len(nodes2) != 3:
            raise "Both node lists must contain exactly 3 node ids"

    def reproject(self, verbose=False):
        x11 = self._net1._id2node[self._nodes1[0]]._coord[0]
        y11 = self._net1._id2node[self._nodes1[0]]._coord[1]
        x12 = self._net1._id2node[self._nodes1[1]]._coord[0]
        y12 = self._net1._id2node[self._nodes1[1]]._coord[1]
        x13 = self._net1._id2node[self._nodes1[2]]._coord[0]
        y13 = self._net1._id2node[self._nodes1[2]]._coord[1]
        x21 = self._net2._id2node[self._nodes2[0]]._coord[0]
        y21 = self._net2._id2node[self._nodes2[0]]._coord[1]
        x22 = self._net2._id2node[self._nodes2[1]]._coord[0]
        y22 = self._net2._id2node[self._nodes2[1]]._coord[1]
        x23 = self._net2._id2node[self._nodes2[2]]._coord[0]
        y23 = self._net2._id2node[self._nodes2[2]]._coord[1]
        b0 = (x22 - x21) * (y23 - y21) - (x23 - x21) * (y22 - y21)
        for n in self._net2._nodes:
            x0 = n._coord[0]
            y0 = n._coord[1]
            b1 = ((x22 - x0) * (y23 - y0) - (x23 - x0) * (y22 - y0)) / b0
            b2 = ((x23 - x0) * (y21 - y0) - (x21 - x0) * (y23 - y0)) / b0
            b3 = ((x21 - x0) * (y22 - y0) - (x22 - x0) * (y21 - y0)) / b0
            n._coord = (
                b1 * x11 + b2 * x12 + b3 * x13, b1 * y11 + b2 * y12 + b3 * y13)
        for e in self._net2._edges:
            for l in e._lanes:
                shape = []
                for p in l.getShape3D():
                    x0 = p[0]
                    y0 = p[1]
                    b1 = (
                        (x22 - x0) * (y23 - y0) - (x23 - x0) * (y22 - y0)) / b0
                    b2 = (
                        (x23 - x0) * (y21 - y0) - (x21 - x0) * (y23 - y0)) / b0
                    b3 = (
                        (x21 - x0) * (y22 - y0) - (x22 - x0) * (y21 - y0)) / b0
                    x = (b1 * x11 + b2 * x12 + b3 * x13)
                    y = (b1 * y11 + b2 * y12 + b3 * y13)
                    z = p[2]
                    shape.append((x, y, z))
                l.setShape(shape)
            e.rebuildShape()
