# Eclipse SUMO, Simulation of Urban MObility; see https://eclipse.dev/sumo
# Copyright (C) 2008-2026 German Aerospace Center (DLR) and others.
# This program and the accompanying materials are made available under the
# terms of the Eclipse Public License 2.0 which is available at
# https://www.eclipse.org/legal/epl-2.0/
# This Source Code may also be made available under the following Secondary
# Licenses when the conditions for such availability set forth in the Eclipse
# Public License 2.0 are satisfied: GNU General Public License, version 2
# or later which is available at
# https://www.gnu.org/licenses/old-licenses/gpl-2.0-standalone.html
# SPDX-License-Identifier: EPL-2.0 OR GPL-2.0-or-later

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

"""

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

This means: the class is initialized 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' positions
 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 _lane in e.getLanes():
                shape = []
                for p in _lane.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))
                _lane.setShape(shape)
            e.rebuildShape()
