dashboard changes - routing in router.py

author: Anson Bridges <bridges.anson@gmail.com> 2023-11-08 12:25:43 -0500
committer: Anson Bridges <bridges.anson@gmail.com> 2023-11-08 12:25:43 -0500
commit: 63d57c7f57de281934726ecdc43e27b6da99be06 (patch)
tree: a9690f5d69960b916259bb64a2789b810b3f1616 /dashboard_website
parent: 6b9d2b694821e63da8a9db47a97ce9cc6d807a4b (diff)
6 files changed, 322 insertions, 5 deletions
diff --git a/dashboard_website/__pycache__/db.cpython-311.pyc b/dashboard_website/__pycache__/db.cpython-311.pyc
index 09dc8b3..7a3d21e 100644
--- a/dashboard_website/__pycache__/db.cpython-311.pyc
+++ b/dashboard_website/__pycache__/db.cpython-311.pyc
diff --git a/dashboard_website/dashboard.py b/dashboard_website/dashboard.py
index 6d4d1f7..9ccad9f 100644
--- a/dashboard_website/dashboard.py
+++ b/dashboard_website/dashboard.py
@@ -4,7 +4,7 @@
 #  
 
 from flask import Flask, flash, request, redirect, render_template, send_from_directory, jsonify
-import db
+import db, router
 
 app = Flask(__name__)
 
@@ -75,7 +75,9 @@ def requestRoute():
 #  "status" : "OK"/"ERROR XX" }
 #  ERROR CODES: 1 = missing fields, 2 = invalid field types, 3 = invalid coordinates, 10 = other/network error
 def updateTeamLocation():
-    pass
+    content = request.get_json()
+    db.pingBike(content['team_name'], content['latitude'], content['longitude'])
+    return jsonify({'team_name' : content['team_name'], 'status' : "OK"})
 
 #
 # WEB PAGES + DASHBOARD API
diff --git a/dashboard_website/db.py b/dashboard_website/db.py
index 450360c..a071671 100644
--- a/dashboard_website/db.py
+++ b/dashboard_website/db.py
@@ -1,9 +1,10 @@
 # stores and manages clue DB
 # also manages currently available bike teams
+import router
 import csv, time
 
 # time since last ping before deactivating/deleting
-BIKE_TIMEOUT = 180 
+BIKE_TIMEOUT = 60 
 BIKE_DELETE = 1800 # time before bike deletes itself
 
 # data structures
@@ -34,7 +35,7 @@ class Clue(Point):
         self.latitude = lat
         self.name = name
         self.info = info
-        self.status = status # UNVISITED | VISITED 
+        self.status = status # UNVISITED | ASSIGNED | VISITED 
     
     def visit(self):
         self.status = "VISITED"
@@ -54,6 +55,7 @@ class Bike(Point):
         self.name = name
         self.last_contact = time.time()
         self.target = "N/A"
+        self.route_to_next = [] # list of coords if target isnt' N/A
         self.status = status # ACTIVE | INACTIVE
     
     def setTarget(self, clue_name):
@@ -66,6 +68,7 @@ class Bike(Point):
     def checkStatus(self):
         if time.time() - self.last_contact > BIKE_TIMEOUT:
             self.status = "INACTIVE"
+            self.target = "N/A"
             if time.time() - self.last_contact > BIKE_DELETE:
                 return -1
         return 0
@@ -83,10 +86,15 @@ class Bike(Point):
 homeBase = Point(42.340226, -71.088395) # krentzman, can be changed on dashboard
 clues = []
 bikes = []
+assigned_clues = []
 clues_last_changed = time.time()
 home_last_changed = time.time()
 
-
+# called every time a node is added
+# a bike is added/removed
+# determines/assigns clusters, and assigns routes to bikes
+def updateRoutes():
+    clusters = router.getClusters(bikes, clues, homeBase)
 
 # interface functions
 def getTime():
diff --git a/dashboard_website/router.py b/dashboard_website/router.py
new file mode 100644
index 0000000..3929cca
--- /dev/null
+++ b/dashboard_website/router.py
@@ -0,0 +1,294 @@
+import folium
+import numpy as np
+import pandas as pd
+import requests
+from sklearn.cluster import KMeans
+
+host = "http://acetyl.net:5000" # queries acetyl.net:5000, the OSRM engine
+
+# external facing functions
+
+# gets single leg route between bike and clue
+# should be HD and GeoJSON
+def getRouteFullJSON(bike, clue):
+    url = f"{host}/route/v1/bike/{bike['longitude']},{bike['latitude']};{clue['longitude']},{clue['latitude']}?steps=true&overview=full&geometries=geojson"
+    r = response.get(url)
+    return r.json()
+
+def getRouteHDPolyline(bike, clue):
+    url = f"{host}/route/v1/bike/{bike['longitude']},{bike['latitude']};{clue['longitude']},{clue['latitude']}?overview=full&geometries=geojson"
+    r = response.get(url)
+    p = r.json()['trips'][0]['geometry']['coordinates']
+    return p
+
+def getRouteFastPolyline(bike, clue):
+    url = f"{host}/route/v1/bike/{bike['longitude']},{bike['latitude']};{clue['longitude']},{clue['latitude']}?geometries=geojson"
+    r = response.get(url)
+    p = r.json()['trips'][0]['geometry']['coordinates']
+    return p
+
+def getZSP(bike, home, clue_cluster):
+    pass
+
+# determines clusters based on current bikes and clues
+def getClusters(bikes, clues, endpoint):
+    pass
+
+# utility functions (internal)
+def cluster_and_optimize(df, centroids, end, time_diff=0.25, max_time=24, n=2):
+    """
+    Takes a dataframe of gps coordinates, a list of centroids, and an end point and returns a dataframe with a cluster
+    :param df: a dataframe of gps coordinates
+    :param centroids: a list of centroids
+    :param end: the end point of the trip
+    :param time_diff: the maximum time difference between the longest trip and the average trip
+    :param max_time: the maximum time of the trip
+    :param n: the number of routes to create
+    :return: a dataframe with a cluster column
+    """
+    # Create a new column with normalized gps coordinates and centroids
+    df['normalized_gps'], norm_centroids = __normalize_gps(df['gps'].values.tolist(), centroids)
+
+    # Cluster the coordinates
+    kmeans = KMeans(n_clusters=len(norm_centroids), init=norm_centroids)
+    kmeans.fit(df['normalized_gps'].values.tolist())
+
+    df['cluster'] = kmeans.labels_
+
+    routes = []
+    starts = []
+    for i in range(len(centroids)):
+        routes.append(df[df['cluster'] == i]['gps'].values.tolist())
+        starts.append(list_to_string([centroids[i]]))
+
+    routes = __minimize_route_time_diff(routes, starts, end, time_diff, n)
+
+    # Remove waypoints from the longest route until the trip time is less than the max time
+    for i in range(len(routes)):
+        routes[i] = __remove_longest_waypoints(routes[i], starts[i], end, max_time)
+        df.loc[df['gps'].astype(str).isin(map(str, routes[i])), 'cluster'] = i
+
+    return df, routes
+
+
+def list_to_string(list_of_lists):
+    """
+    Takes a list of lists and returns a string of the list of lists
+    :param list_of_lists: a list of lists
+    :return: a string of the list of lists
+    """
+    string = ''
+    for i in list_of_lists:
+        string += str(i[1]) + ',' + str(i[0]) + ';'
+
+    return string
+
+
+def create_json_df(coordinate_string, start, end):
+    """
+    Takes a string of coordinates and returns a dataframe of the coordinates in order of the waypoint index
+    :param coordinate_string: a string of coordinates
+    :param start: the start point of the trip
+    :param end: the end point of the trip
+    :return: a dataframe of the coordinates in order of the waypoint index
+    """
+    coordinates = requests.get(
+        'http://acetyl.net:5000/trip/v1/bike/' + start + coordinate_string + end + '?roundtrip=false&source=first&destination=last')
+    coordinates = coordinates.json()
+
+    # Create a dataframe from the JSON
+    df = pd.DataFrame(coordinates['waypoints'])
+
+    # Separate the location column into lon and lat columns
+    df['lat'] = df['location'].apply(lambda x: x[0])
+    df['lon'] = df['location'].apply(lambda x: x[1])
+
+    df['waypoint_index'] = df['waypoint_index'].astype(int)
+
+    # Map out the waypoints in order of the waypoint index
+    df = df.sort_values(by=['waypoint_index'])
+
+    return df
+
+
+def get_trip_time(coordinate_string, num_waypoints, start, end, time_per_waypoint=90):
+    """
+    Takes a string of coordinates and returns the trip time in hours
+    :param coordinate_string: a string of coordinates
+    :param num_waypoints: the number of waypoints
+    :param start: the start point of the trip
+    :param end: the end point of the trip
+    :param time_per_waypoint: the time per waypoint in seconds
+    :return: the trip time in hours
+    """
+    coordinates = requests.get(
+        'http://acetyl.net:5000/trip/v1/bike/' + start + coordinate_string + end + '?roundtrip=false&source=first&destination=last')
+    coordinates = coordinates.json()
+
+    travel_time_seconds = int(coordinates['trips'][0]['duration'])
+    waypoint_time_seconds = num_waypoints * time_per_waypoint
+
+    total_time_hours = (travel_time_seconds + waypoint_time_seconds) / 3600
+
+    return total_time_hours
+
+
+def __minimize_route_time_diff(routes, starts, end, time_diff, n):
+    """
+    Takes a list of lists of coordinates, a list of start points, an end point, a time difference, and a number of routes
+    :param routes: the list of lists of coordinates
+    :param starts: the list of start points
+    :param end: the end point
+    :param time_diff: the time difference
+    :param n: the number of routes
+    :return: a list of lists of coordinates
+    """
+    times = []
+
+    for i, route in enumerate(routes):
+        times.append(get_trip_time(list_to_string(route), len(route), starts[i], end))
+
+    # Find the average trip time
+    average_time = np.mean(times)
+
+    # Sort the trip times
+    sorted_indices = np.argsort(times)
+
+    # Find the difference between the longest trip time and the average trip time
+    time_difference = times[sorted_indices[-1]] - average_time
+
+    # If the difference is greater than the time difference, move a coordinate from the longest route to the shortest route
+    if time_difference > time_diff:
+        # Move a coordinate from the longest route to the shortest route
+        closest_coordinate = __find_closest_coordinate(routes[sorted_indices[-1]],
+                                                       __mean_center(routes[sorted_indices[0]]))
+        routes[sorted_indices[0]].append(closest_coordinate)
+        routes[sorted_indices[-1]].remove(closest_coordinate)
+
+        # Recursively minimize the time difference between the routes
+        return __minimize_route_time_diff(routes, starts, end, time_diff, n)
+
+    # If the difference of the longest trip time from average is less than the time difference, return the routes
+    return routes
+
+
+def __remove_longest_waypoints(route_coordinates, start, end, max_time):
+    """
+    Takes a list of coordinates, a start point, an end point, and a maximum time and returns a list of coordinates
+    :param route_coordinates: the list of coordinates
+    :param start: the start point
+    :param end: the end point
+    :param max_time: the maximum time
+    :return: a list of coordinates
+    """
+    # Find the trip time for the route
+    route_time = get_trip_time(list_to_string(route_coordinates), len(route_coordinates), start, end)
+
+    # If the trip time is greater than the max time, remove the waypoint with the longest distance from the mean
+    if route_time > max_time:
+        route_mean = __mean_center(route_coordinates)
+        furthest_coordinate = __find_farthest_coordinate(route_coordinates, route_mean)
+        route_coordinates.remove(furthest_coordinate)
+
+        return __remove_longest_waypoints(route_coordinates, start, end, max_time)
+
+    return route_coordinates
+
+
+def __normalize_gps(coordinates, centroids):
+    """
+    Takes a list of coordinates and a list of centroids and returns a list of normalized coordinates and a list of
+    normalized centroids
+    :param coordinates: the list of coordinates
+    :param centroids: the list of centroids
+    :return: the list of normalized coordinates and the list of normalized centroids
+    """
+
+    # Create a list of latitudes and longitudes
+    latitudes = [i[0] for i in coordinates]
+    longitudes = [i[1] for i in coordinates]
+
+    # Find the minimum and maximum latitudes and longitudes
+    min_lat = min(latitudes)
+    max_lat = max(latitudes)
+    min_lon = min(longitudes)
+    max_lon = max(longitudes)
+
+    # Normalize the coordinates and centroids using min-max normalization
+    normalized_coordinates = []
+    normalized_centroids = []
+
+    for i in coordinates:
+        normalized_coordinates.append(
+            [__min_max_normalize(i[0], min_lat, max_lat), __min_max_normalize(i[1], min_lon, max_lon)])
+    for i in centroids:
+        normalized_centroids.append(
+            [__min_max_normalize(i[0], min_lat, max_lat), __min_max_normalize(i[1], min_lon, max_lon)])
+
+    return normalized_coordinates, normalized_centroids
+
+
+def __min_max_normalize(value, min_value, max_value):
+    """
+    Takes a value, a minimum value, and a maximum value and returns the normalized value
+    :param value: the value
+    :param min_value: the minimum value
+    :param max_value: the maximum value
+    :return: the normalized value
+    """
+    return (value - min_value) / (max_value - min_value)
+
+
+def __find_closest_coordinate(coordinates, centroid):
+    """
+    Takes a list of coordinates and a centroid and returns the coordinate in the list that is closest to the centroid
+    :param coordinates: the list of coordinates
+    :param centroid: the centroid
+    :return: the coordinate in the list that is closest to the centroid
+    """
+    closest_coordinate = coordinates[0]
+    closest_coordinate_distance = __distance(closest_coordinate, centroid)
+
+    for coordinate in coordinates:
+        if __distance(coordinate, centroid) < closest_coordinate_distance:
+            closest_coordinate = coordinate
+            closest_coordinate_distance = __distance(coordinate, centroid)
+
+    return closest_coordinate
+
+
+def __find_farthest_coordinate(coordinates, centroid):
+    """
+    Takes a list of coordinates and a centroid and returns the coordinate in the list that is farthest from the centroid
+    :param coordinates: the list of coordinates
+    :param centroid: the centroid
+    :return: the coordinate in the list that is farthest from the centroid
+    """
+    farthest_coordinate = coordinates[0]
+    farthest_coordinate_distance = __distance(farthest_coordinate, centroid)
+
+    for coordinate in coordinates:
+        if __distance(coordinate, centroid) > farthest_coordinate_distance:
+            farthest_coordinate = coordinate
+            farthest_coordinate_distance = __distance(coordinate, centroid)
+
+    return farthest_coordinate
+
+
+def __mean_center(coordinates):
+    """
+    Takes a list of coordinates and returns the mean center of the coordinates
+    :param coordinates: the list of coordinates
+    :return: the mean center of the coordinates
+    """
+    return [sum([i[0] for i in coordinates]) / len(coordinates), sum([i[1] for i in coordinates]) / len(coordinates)]
+
+
+def __distance(coordinate1, coordinate2):
+    """
+    Takes two coordinates and returns the distance between them
+    :param coordinate1: the first coordinate
+    :param coordinate2: the second coordinate
+    :return: the distance between the two coordinates
+    """
+    return ((coordinate1[0] - coordinate2[0]) ** 2 + (coordinate1[1] - coordinate2[1]) ** 2) ** 0.5
+\ No newline at end of file
diff --git a/dashboard_website/static/img/response.json b/dashboard_website/static/img/response.json
new file mode 100644
index 0000000..db3859a
--- /dev/null
+++ b/dashboard_website/static/img/response.json
@@ -0,0 +1 @@
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+\ No newline at end of file
diff --git a/dashboard_website/static/js/dashboard.js b/dashboard_website/static/js/dashboard.js
index b54f65f..c1f1428 100644
--- a/dashboard_website/static/js/dashboard.js
+++ b/dashboard_website/static/js/dashboard.js
@@ -149,6 +149,18 @@ function requestLatestInfo(){
                     bikes_m.addLayer(bikeMarker);
                 }
             }
+            // remove no longer existing bikes
+            for (const [key, value] of Object.entries(bikes)) {
+                var deleteBike = true;
+                for(var i = 0; i < bikes_t.length; i++){
+                    if(bikes_t[i]['team_name'] == key) {deleteBike = false; }
+                } 
+                if(deleteBike) {
+                    console.log("deleting bike");
+                    bikes_m.removeLayer(value['marker']);
+                    delete bikes[key];
+                }
+            }
             updateBikeStatus();
         }
         // process clues
author	Anson Bridges <bridges.anson@gmail.com>	2023-11-08 12:25:43 -0500
committer	Anson Bridges <bridges.anson@gmail.com>	2023-11-08 12:25:43 -0500
commit	63d57c7f57de281934726ecdc43e27b6da99be06 (patch)
tree	a9690f5d69960b916259bb64a2789b810b3f1616 /dashboard_website
parent	6b9d2b694821e63da8a9db47a97ce9cc6d807a4b (diff)