MapRouting.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 480,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already satisfied: folium in c:\\users\\acrazt04\\anaconda3\\envs\\test\\lib\\site-packages (0.14.0)\n",
      "Requirement already satisfied: osmium in c:\\users\\acrazt04\\anaconda3\\envs\\test\\lib\\site-packages (3.6.0)\n",
      "Requirement already satisfied: jinja2>=2.9 in c:\\users\\acrazt04\\anaconda3\\envs\\test\\lib\\site-packages (from folium) (3.1.2)\n",
      "Requirement already satisfied: numpy in c:\\users\\acrazt04\\anaconda3\\envs\\test\\lib\\site-packages (from folium) (1.24.2)\n",
      "Requirement already satisfied: branca>=0.6.0 in c:\\users\\acrazt04\\anaconda3\\envs\\test\\lib\\site-packages (from folium) (0.6.0)\n",
      "Requirement already satisfied: requests in c:\\users\\acrazt04\\anaconda3\\envs\\test\\lib\\site-packages (from folium) (2.28.2)\n",
      "Requirement already satisfied: MarkupSafe>=2.0 in c:\\users\\acrazt04\\anaconda3\\envs\\test\\lib\\site-packages (from jinja2>=2.9->folium) (2.1.2)\n",
      "Requirement already satisfied: idna<4,>=2.5 in c:\\users\\acrazt04\\anaconda3\\envs\\test\\lib\\site-packages (from requests->folium) (2.10)\n",
      "Requirement already satisfied: charset-normalizer<4,>=2 in c:\\users\\acrazt04\\anaconda3\\envs\\test\\lib\\site-packages (from requests->folium) (3.0.1)\n",
      "Requirement already satisfied: urllib3<1.27,>=1.21.1 in c:\\users\\acrazt04\\anaconda3\\envs\\test\\lib\\site-packages (from requests->folium) (1.26.14)\n",
      "Requirement already satisfied: certifi>=2017.4.17 in c:\\users\\acrazt04\\anaconda3\\envs\\test\\lib\\site-packages (from requests->folium) (2022.12.7)\n",
      "Note: you may need to restart the kernel to use updated packages.\n"
     ]
    }
   ],
   "source": [
    "%pip install folium osmium"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 481,
   "metadata": {},
   "outputs": [],
   "source": [
    "class Node:\n",
    "\n",
    "  def __init__(self, name, value=None):\n",
    "    self.name = name\n",
    "    self.value = value\n",
    "    self.domain = set()\n",
    "\n",
    "  def is_assigned(self):\n",
    "    return self.value != None\n",
    "    \n",
    "  def assign(self, value):\n",
    "    self.value = value\n",
    "\n",
    "  def unassign(self):\n",
    "    self.value = None\n",
    "\n",
    "  def get_domain(self):\n",
    "    return self.domain\n",
    "\n",
    "  def __str__(self):\n",
    "    return self.name\n",
    "\n",
    "  def __lt__(self, other):\n",
    "    return True"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 482,
   "metadata": {},
   "outputs": [],
   "source": [
    "class Graph:\n",
    "  def __init__(self):\n",
    "    self.adj_list = {}\n",
    "    self.nodes = {}\n",
    "\n",
    "  def add_node(self, name, value=None):\n",
    "    self.nodes[name] = Node(name, value)\n",
    "    self.adj_list[name] = {}\n",
    "\n",
    "  def add_vertex(self, name_a, name_b, w=1, directed=False):\n",
    "    if name_a not in self.adj_list.keys(): self.add_node(name_a)\n",
    "    if name_b not in self.adj_list.keys(): self.add_node(name_b)\n",
    "    self.adj_list[name_a][name_b] = w\n",
    "    if not directed: self.adj_list[name_b][name_a] = w\n",
    "\n",
    "  def get_nodes(self):\n",
    "    return set(self.nodes.values())\n",
    "\n",
    "  def get_node_by_name(self, name):\n",
    "    return self.nodes[name]\n",
    "\n",
    "  def get_neighbors_of(self, node_name):\n",
    "    return set([self.get_node_by_name(neigh_name) for neigh_name in self.adj_list[node_name].keys()])\n",
    "  \n",
    "  def get_cost(self, node_a, node_b):\n",
    "    return self.adj_list[node_a.name][node_b.name]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 483,
   "metadata": {},
   "outputs": [],
   "source": [
    "class GeoNode(Node):\n",
    "    def __init__(self, id, x, y, lat, lon):\n",
    "        self.id = id\n",
    "        self.x = x\n",
    "        self.y = y\n",
    "        self.lat = lat\n",
    "        self.lon = lon\n",
    "        self.available = True\n",
    "        self.is_primary = False\n",
    "        self.n_lanes = 0\n",
    "        super().__init__(id)\n",
    "    \n",
    "    def __str__(self):\n",
    "        return f\"GeoNode {self.id} at pos {self.x, self.y}, coords {self.lat, self.lon}\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 484,
   "metadata": {},
   "outputs": [],
   "source": [
    "import osmium as osm\n",
    "\n",
    "class OSMHandler(osm.SimpleHandler):\n",
    "    def __init__(self):\n",
    "        osm.SimpleHandler.__init__(self)\n",
    "        self.nodes = []\n",
    "        self.ways = []\n",
    "        self.node_highway_values = set()\n",
    "        self.way_highway_values = set()\n",
    "        self.way_highway_values_list = []\n",
    "\n",
    "        #self.allowed_ways = set(['primary_link', 'tertiary', 'primary', 'path', 'secondary', 'trunk', 'corridor', 'pedestrian', 'service', 'raceway', 'construction', 'residential', 'steps', 'trunk_link', 'cycleway', 'tertiary_link', 'motorway', 'footway', None, 'living_street', 'motorway_link', 'secondary_link', 'unclassified', 'road', 'track'])\n",
    "        #self.allowed_ways = set(['primary_link', 'tertiary', 'primary', 'secondary', 'trunk', 'service', 'raceway', 'construction', 'residential', 'trunk_link', 'tertiary_link', 'motorway', 'living_street', 'motorway_link', 'secondary_link', 'track'])\n",
    "        #self.allowed_ways = set(['primary_link', 'primary', 'secondary', 'trunk', 'trunk_link', 'tertiary_link' 'secondary_link'])\n",
    "        #self.allowed_ways = set(['primary_link', 'primary'])\n",
    "        #self.allowed_ways = set(['primary', 'secondary', 'tertiary', 'trunk','primary_link', 'motorway', 'motorway_link'])\n",
    "        #https://wiki.openstreetmap.org/wiki/Key:highway?uselang=en#Highway\n",
    "        self.allowed_ways = set(['primary', 'secondary', 'tertiary', 'trunk','primary_link', 'motorway', 'motorway_link', 'residential'])\n",
    "\n",
    "    def node(self, node):\n",
    "\n",
    "        self.node_highway_values.add(node.tags.get('highway'))\n",
    "\n",
    "        #if(node.tags.get('highway') == 'crossing'):\n",
    "        self.nodes.append((node.id, node.location.x, node.location.y, node.location.lat, node.location.lon))\n",
    "\n",
    "    def way(self, way):\n",
    "\n",
    "        self.way_highway_values.add(way.tags.get('highway'))\n",
    "        self.way_highway_values_list.append(way.tags.get('highway'))\n",
    "\n",
    "        if(way.tags.get('highway') in self.allowed_ways):\n",
    "            \n",
    "            nodes = []\n",
    "\n",
    "            for node in way.nodes:\n",
    "                nodes.append(node)\n",
    "            \n",
    "            #is_closed = way.is_closed()\n",
    "            directed = way.tags.get('oneway') != 'yes'\n",
    "            is_primary = way.tags.get('highway') != 'residential'\n",
    "            if way.tags.get('lanes'):\n",
    "                n_lanes = int(way.tags.get('lanes'))\n",
    "            else:\n",
    "                n_lanes = 0\n",
    "            self.ways.append((nodes, directed, is_primary, n_lanes))"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Haversine Distance\n",
    "\n",
    "![haversine](haversine.png)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 485,
   "metadata": {},
   "outputs": [],
   "source": [
    "from math import sin, cos, sqrt, atan2, radians\n",
    "\n",
    "#haversine\n",
    "def calculate_distance_coords(lat1, lon1, lat2, lon2):\n",
    "\n",
    "    # Approximate radius of earth in km\n",
    "    R = 6373.0\n",
    "\n",
    "    lat1 = radians(lat1)\n",
    "    lon1 = radians(lon1)\n",
    "    lat2 = radians(lat2)\n",
    "    lon2 = radians(lon2)\n",
    "\n",
    "    dlon = lon2 - lon1\n",
    "    dlat = lat2 - lat1\n",
    "\n",
    "    a = sin(dlat / 2)**2 + cos(lat1) * cos(lat2) * sin(dlon / 2)**2\n",
    "    c = 2 * atan2(sqrt(a), sqrt(1 - a))\n",
    "\n",
    "    distance = R * c\n",
    "\n",
    "    return distance"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 486,
   "metadata": {},
   "outputs": [],
   "source": [
    "class GeoGraph(Graph):\n",
    "\n",
    "    def __init__(self, osm_file_path='santo_domingo.osm'):\n",
    "        \n",
    "        super().__init__()\n",
    "\n",
    "        self.osmHandler = OSMHandler()\n",
    "        self.osmHandler.apply_file(osm_file_path)\n",
    "\n",
    "        #print('nodes highway: ', self.osmHandler.node_highway_values)\n",
    "        #print('ways highway: ', self.osmHandler.way_highway_values)\n",
    "        #print('Qty each way: ')\n",
    "\n",
    "        #for value in self.osmHandler.way_highway_values:\n",
    "        #    print(f'for {value} there are: {self.osmHandler.way_highway_values_list.count(value)}')\n",
    "\n",
    "        #print('intersection: ', self.osmHandler.node_highway_values.intersection(self.osmHandler.way_highway_values))\n",
    "\n",
    "        for node in self.osmHandler.nodes:\n",
    "            self.add_geo_node(node[0], node[1], node[2], node[3], node[4])\n",
    "\n",
    "        for way in self.osmHandler.ways:\n",
    "            self.add_way(way[0], way[1], way[2], way[3])\n",
    "\n",
    "        for node in self.get_nodes():\n",
    "            if len(self.get_neighbors_of(node.name)) == 0:\n",
    "                self.nodes[node.name].available = False\n",
    "\n",
    "    def add_geo_node(self, id, x, y, lat, lon):\n",
    "        self.nodes[id] = GeoNode(id, x, y, lat, lon)\n",
    "        self.adj_list[id] = {}\n",
    "\n",
    "    def calculate_euclidian_distance(self, node_name_a, node_name_b):\n",
    "        node_a: GeoNode = self.get_node_by_name(node_name_a)\n",
    "        node_b: GeoNode = self.get_node_by_name(node_name_b)\n",
    "\n",
    "        distance = calculate_distance_coords(node_a.lat, node_a.lon, node_b.lat, node_b.lon)#math.sqrt((node_a.lat - node_b.lat)**2 + (node_a.lon - node_b.lon)**2 )\n",
    "        return distance\n",
    "\n",
    "    def add_way(self, nodes, directed, is_primary, n_lanes):\n",
    "\n",
    "        for i in range(len(nodes)-1):\n",
    "\n",
    "            name_a = nodes[i].ref\n",
    "            name_b = nodes[i+1].ref\n",
    "\n",
    "            if is_primary:\n",
    "                self.nodes[name_a].is_primary = is_primary\n",
    "                self.nodes[name_b].is_primary = is_primary\n",
    "\n",
    "            if n_lanes:\n",
    "                self.nodes[name_a].n_lanes = n_lanes\n",
    "                self.nodes[name_b].n_lanes = n_lanes\n",
    "\n",
    "            distance = self.calculate_euclidian_distance(name_a, name_b)\n",
    "            \n",
    "            try:\n",
    "                self.adj_list[name_a][name_b] = distance\n",
    "                if directed: self.adj_list[name_b][name_a] = distance\n",
    "            except KeyError:\n",
    "                print('node not found')\n",
    "    \n",
    "    def get_nearest_geoNode(self, lat, lon):\n",
    "        \n",
    "        min_distance = 0.05\n",
    "\n",
    "        for geoNode in self.get_nodes():\n",
    "            if geoNode.available:\n",
    "                distance = calculate_distance_coords(geoNode.lat, geoNode.lon, lat, lon)\n",
    "\n",
    "                if distance < min_distance:\n",
    "                    return geoNode"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 487,
   "metadata": {},
   "outputs": [],
   "source": [
    "import heapq\n",
    "\n",
    "class PriorityQueue():\n",
    "  def __init__(self, data=[]):\n",
    "    self.data = data\n",
    "  \n",
    "  def put(self, value):\n",
    "    heapq.heappush(self.data, value)\n",
    "\n",
    "  def get(self):\n",
    "    return heapq.heappop(self.data)\n",
    "\n",
    "  def isEmpty(self):\n",
    "    return len(self.data) == 0\n",
    "  \n",
    "  def view(self):\n",
    "    return heapq.heapify(self.data)\n",
    "\n",
    "  def putReplace(self, value):\n",
    "    for data in self.data:\n",
    "      if value[1] == data[1]:\n",
    "        if value[0] < data[0]:\n",
    "          self.data.remove(data)\n",
    "          self.put(value)\n",
    "          return True\n",
    "    return False"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 488,
   "metadata": {},
   "outputs": [],
   "source": [
    "def a_star_solver(graph: Graph, initial_node: GeoNode, goal_node: GeoNode, heuristic_func):\n",
    "    \n",
    "  frontier = PriorityQueue()\n",
    "  frontier.put((0, initial_node))\n",
    "\n",
    "  #Stores the order on which the nodes were visited\n",
    "  visited = []\n",
    "  \n",
    "  #Stores the cost from the start node to the current node\n",
    "  cost_of_path = {}\n",
    "  cost_of_path[initial_node] = 0\n",
    "\n",
    "  parents = {}\n",
    "  parents[initial_node] = None\n",
    "\n",
    "  while not frontier.isEmpty():\n",
    "    value, current_node = frontier.get()\n",
    "\n",
    "    visited.append(current_node)\n",
    "\n",
    "    if current_node == goal_node:\n",
    "      return True, visited, parents,cost_of_path#[goal_node]\n",
    "\n",
    "    for neighbor in graph.get_neighbors_of(current_node.name):\n",
    "\n",
    "      neighbor_cost = cost_of_path[current_node] + graph.get_cost(current_node, neighbor)\n",
    "      nodes_in_frontier = [node[1] for node in frontier.data]\n",
    "\n",
    "      #if it is not in the frontier and has not been visited add it to the frontier with its value\n",
    "      if(neighbor not in nodes_in_frontier and neighbor not in visited):\n",
    "        #Calculate the heuristic cost for this node and add it to the PriorityQueue\n",
    "        neighbor_node_heuristic_cost = heuristic_func(neighbor, goal_node)\n",
    "        frontier.put((neighbor_cost + neighbor_node_heuristic_cost, neighbor))\n",
    "        parents[neighbor] = current_node\n",
    "        cost_of_path[neighbor] = neighbor_cost\n",
    "      #elif it is in the frontier but you found a lower value, replace it in the frontier\n",
    "      elif neighbor in nodes_in_frontier:\n",
    "        if frontier.putReplace((neighbor_cost, neighbor)):\n",
    "          parents[neighbor] = current_node\n",
    "          cost_of_path[neighbor] = neighbor_cost\n",
    "\n",
    "  return False, visited, parents, cost_of_path#[goal_node]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 489,
   "metadata": {},
   "outputs": [],
   "source": [
    "def heuristic_function(current_node: GeoNode, goal_node: GeoNode):\n",
    "    distance = calculate_distance_coords(current_node.lat, current_node.lon, goal_node.lat, goal_node.lon)#math.sqrt((current_node.lat - goal_node.lat)**2 + (current_node.lon - goal_node.lon)**2 )\n",
    "    is_primary = 0 if not current_node.is_primary else 1\n",
    "    n_lanes = current_node.n_lanes\n",
    "    return distance*5 - is_primary*0.5 - n_lanes*0.5"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 490,
   "metadata": {},
   "outputs": [],
   "source": [
    "geoGraph = GeoGraph()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 491,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "initial_node:  GeoNode 309000866 at pos (-698958112, 184975126), coords (18.4975126, -69.8958112)\n",
      "goal_node:  GeoNode 310521273 at pos (-699675560, 184528156), coords (18.4528156, -69.967556)\n"
     ]
    }
   ],
   "source": [
    "initial_node = geoGraph.get_nearest_geoNode(18.497205, -69.895533) #geoGraph.get_node_by_name(248926634)\n",
    "goal_node = geoGraph.get_nearest_geoNode(18.452902, -69.967182) #geoGraph.get_node_by_name(4747207392)\n",
    "\n",
    "#initial_node = geoGraph.get_nearest_geoNode(18.491504, -69.892999)\n",
    "#goal_node = geoGraph.get_nearest_geoNode(18.464901, -69.945862)\n",
    "\n",
    "print('initial_node: ', initial_node)\n",
    "print('goal_node: ', goal_node)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 492,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Success:  True\n",
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     ]
    }
   ],
   "source": [
    "SUCCESS, visited, parent_node, cost_of_path = a_star_solver(geoGraph, initial_node, goal_node, heuristic_function)\n",
    "print('Success: ', SUCCESS)\n",
    "print('Visited: ', [node.name for node in visited])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 493,
   "metadata": {},
   "outputs": [],
   "source": [
    "def reconstruct_path(start_node, goal_node, parent_node):\n",
    "  path = [goal_node]\n",
    "\n",
    "  current_parent = parent_node[goal_node]\n",
    "  path.append(current_parent)\n",
    "\n",
    "  while current_parent:\n",
    "\n",
    "    next_parent = parent_node[current_parent]\n",
    "    path.append(next_parent)\n",
    "\n",
    "    if next_parent == start_node:\n",
    "      break\n",
    "    \n",
    "    current_parent = next_parent\n",
    "  \n",
    "  path.reverse()\n",
    "\n",
    "  cost = 0\n",
    "\n",
    "  for i in range(len(path)-1):\n",
    "    cost += geoGraph.get_cost(path[i], path[i+1])\n",
    "\n",
    "  return path, cost"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 494,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Distance: 13.94 km\n"
     ]
    }
   ],
   "source": [
    "path, distance = reconstruct_path(initial_node,goal_node, parent_node)\n",
    "print(f'Distance: {distance:.2f} km')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 495,
   "metadata": {},
   "outputs": [
    {
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       "            ).addTo(map_0d555ec0dd0bb9ae73f15c27389e9fc3);\n",
       "        \n",
       "&lt;/script&gt;\n",
       "&lt;/html&gt;\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
      ],
      "text/plain": [
       "<folium.folium.Map at 0x25099e84d00>"
      ]
     },
     "execution_count": 495,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import folium\n",
    "\n",
    "initial_marker = [initial_node.lat, initial_node.lon]\n",
    "goal_marker = [goal_node.lat, goal_node.lon]\n",
    "\n",
    "map = folium.Map(location=initial_marker, zoom_start=17)\n",
    "\n",
    "folium.Marker(initial_marker).add_to(map)\n",
    "folium.Marker(goal_marker).add_to(map)\n",
    "\n",
    "points = []\n",
    "\n",
    "for node in path:\n",
    "    point = [node.lat, node.lon]\n",
    "    points.append(point)\n",
    "\n",
    "folium.PolyLine(points, weight=5, opacity=1).add_to(map)\n",
    "map"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 496,
   "metadata": {},
   "outputs": [
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       "    \n",
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       "                {}\n",
       "            ).addTo(map_44befdc6255ca4f115aab1e9e54b39d3);\n",
       "        \n",
       "    \n",
       "            var marker_b15828f2065281cfc31a75cc74b77060 = L.marker(\n",
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       "                {}\n",
       "            ).addTo(map_44befdc6255ca4f115aab1e9e54b39d3);\n",
       "        \n",
       "    \n",
       "            var marker_d7a038c251e9cae2c7f79aa53a14c4e5 = L.marker(\n",
       "                [18.4525997, -69.9675876],\n",
       "                {}\n",
       "            ).addTo(map_44befdc6255ca4f115aab1e9e54b39d3);\n",
       "        \n",
       "    \n",
       "            var marker_9e636f1d49a9f0878822d01c317840ec = L.marker(\n",
       "                [18.4528156, -69.967556],\n",
       "                {}\n",
       "            ).addTo(map_44befdc6255ca4f115aab1e9e54b39d3);\n",
       "        \n",
       "&lt;/script&gt;\n",
       "&lt;/html&gt;\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
      ],
      "text/plain": [
       "<folium.folium.Map at 0x25099e86890>"
      ]
     },
     "execution_count": 496,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import folium\n",
    "\n",
    "initial_marker = [initial_node.lat, initial_node.lon]\n",
    "\n",
    "map = folium.Map(location=initial_marker, zoom_start=17)\n",
    "\n",
    "for visited_node in visited:\n",
    "    point = [visited_node.lat, visited_node.lon]\n",
    "    folium.Marker(point).add_to(map)\n",
    "\n",
    "map"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 498,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://cdn.jsdelivr.net/npm/bootstrap@5.2.2/dist/css/bootstrap.min.css&quot;/&gt;\n",
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       "        \n",
       "    \n",
       "            var marker_400074dc1484f30ab449a7f1b31309a0 = L.marker(\n",
       "                [18.4782862, -69.8930418],\n",
       "                {}\n",
       "            ).addTo(map_0e27f26f9f8e833b9e2e1fecae0040ae);\n",
       "        \n",
       "    \n",
       "            var marker_2248ced98fc1ad2297f32663f4509eeb = L.marker(\n",
       "                [18.4772247, -69.8950509],\n",
       "                {}\n",
       "            ).addTo(map_0e27f26f9f8e833b9e2e1fecae0040ae);\n",
       "        \n",
       "    \n",
       "            var marker_2dd31daf965621801be1a2401a19f113 = L.marker(\n",
       "                [18.4771883, -69.8941158],\n",
       "                {}\n",
       "            ).addTo(map_0e27f26f9f8e833b9e2e1fecae0040ae);\n",
       "        \n",
       "    \n",
       "            var marker_29bb06a451b34666a25454675c0f73b6 = L.marker(\n",
       "                [18.4771976, -69.8934177],\n",
       "                {}\n",
       "            ).addTo(map_0e27f26f9f8e833b9e2e1fecae0040ae);\n",
       "        \n",
       "    \n",
       "            var marker_11bd96e5f12946332f24f11ae4e4e41c = L.marker(\n",
       "                [18.4776578, -69.8941287],\n",
       "                {}\n",
       "            ).addTo(map_0e27f26f9f8e833b9e2e1fecae0040ae);\n",
       "        \n",
       "    \n",
       "            var marker_235e44ee4ddcdb94af27ab5d704759aa = L.marker(\n",
       "                [18.477723, -69.8927649],\n",
       "                {}\n",
       "            ).addTo(map_0e27f26f9f8e833b9e2e1fecae0040ae);\n",
       "        \n",
       "    \n",
       "            var marker_c5d4d8a7dbdb73c92861c37c92792143 = L.marker(\n",
       "                [18.4782788, -69.8919993],\n",
       "                {}\n",
       "            ).addTo(map_0e27f26f9f8e833b9e2e1fecae0040ae);\n",
       "        \n",
       "    \n",
       "            var marker_b0ac2abd55704eb61448ed34d2fd4f8f = L.marker(\n",
       "                [18.4781821, -69.8906136],\n",
       "                {}\n",
       "            ).addTo(map_0e27f26f9f8e833b9e2e1fecae0040ae);\n",
       "        \n",
       "    \n",
       "            var marker_e663a1027b8d63016117f0e53f27c5f8 = L.marker(\n",
       "                [18.4772371, -69.8885828],\n",
       "                {}\n",
       "            ).addTo(map_0e27f26f9f8e833b9e2e1fecae0040ae);\n",
       "        \n",
       "    \n",
       "            var marker_8515adf506b6742a48e36a353474ae1d = L.marker(\n",
       "                [18.4708824, -69.8869943],\n",
       "                {}\n",
       "            ).addTo(map_0e27f26f9f8e833b9e2e1fecae0040ae);\n",
       "        \n",
       "    \n",
       "            var marker_c712a73dc709af179d2223c04f0834dd = L.marker(\n",
       "                [18.4768454, -69.8933485],\n",
       "                {}\n",
       "            ).addTo(map_0e27f26f9f8e833b9e2e1fecae0040ae);\n",
       "        \n",
       "    \n",
       "            var marker_fd97af9a131344f38541cb1fbeb4df4c = L.marker(\n",
       "                [18.4719426, -69.894753],\n",
       "                {}\n",
       "            ).addTo(map_0e27f26f9f8e833b9e2e1fecae0040ae);\n",
       "        \n",
       "    \n",
       "            var marker_3eee0587373ab5b1ca25ac03d65949c3 = L.marker(\n",
       "                [18.471252, -69.8943789],\n",
       "                {}\n",
       "            ).addTo(map_0e27f26f9f8e833b9e2e1fecae0040ae);\n",
       "        \n",
       "    \n",
       "            var marker_ebbca8ec5702730e65df789643f63fd9 = L.marker(\n",
       "                [18.4689597, -69.8947746],\n",
       "                {}\n",
       "            ).addTo(map_0e27f26f9f8e833b9e2e1fecae0040ae);\n",
       "        \n",
       "    \n",
       "            var marker_a9d153993b9c9ffa5dba82d6844c4432 = L.marker(\n",
       "                [18.4782967, -69.8928132],\n",
       "                {}\n",
       "            ).addTo(map_0e27f26f9f8e833b9e2e1fecae0040ae);\n",
       "        \n",
       "    \n",
       "            var marker_0f2fff0295498a025842501bccb218e9 = L.marker(\n",
       "                [18.4740616, -69.896232],\n",
       "                {}\n",
       "            ).addTo(map_0e27f26f9f8e833b9e2e1fecae0040ae);\n",
       "        \n",
       "    \n",
       "            var marker_d27b017a3ad9366d970bd6a671c07da8 = L.marker(\n",
       "                [18.4757272, -69.8962778],\n",
       "                {}\n",
       "            ).addTo(map_0e27f26f9f8e833b9e2e1fecae0040ae);\n",
       "        \n",
       "&lt;/script&gt;\n",
       "&lt;/html&gt;\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
      ],
      "text/plain": [
       "<folium.folium.Map at 0x2509d852bf0>"
      ]
     },
     "execution_count": 498,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test_nodes = []\n",
    "\n",
    "centroid_node = geoGraph.get_nearest_geoNode(18.472998, -69.891905)\n",
    "\n",
    "min_distance = 0.6\n",
    "\n",
    "for geoNode in geoGraph.get_nodes():\n",
    "    distance = calculate_distance_coords(geoNode.lat, geoNode.lon, centroid_node.lat, centroid_node.lon)\n",
    "\n",
    "    if distance < min_distance and geoNode.available:\n",
    "        test_nodes.append(geoNode)\n",
    "\n",
    "import folium\n",
    "\n",
    "initial_marker = [18.4708214, -69.895577]\n",
    "\n",
    "map = folium.Map(location=initial_marker, zoom_start=17)\n",
    "\n",
    "for test_node in test_nodes:\n",
    "    point = [test_node.lat, test_node.lon]\n",
    "    folium.Marker(point).add_to(map)\n",
    "\n",
    "map"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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