AutoEps and AutoSamp fully functional

df-aggregator.py

@@ -283,18 +283,26 @@ def process_data(database_name, epsilon, min_samp):
             WHERE aoi_id=? ORDER BY confidence DESC LIMIT 25000''', [aoi])
         intersect_array = np.array(curs.fetchall())
         if intersect_array.size != 0:
-            if ((epsilon.isnumeric() and float(epsilon) > 0)
-              or epsilon == "auto"):
+            if epsilon != "0":
                 X = StandardScaler().fit_transform(intersect_array[:,0:2])
                 n_points = len(X)
+
+                if min_samp == "auto":
                     min_samp = max(3, round(0.05 * n_points, 0))
+                elif min_samp.isnumeric():
+                    min_samp = int(min_samp)
+                else:
+                    break
+
                 if epsilon == "auto":
                     epsilon = autoeps_calc(X)
                     print(f"min_samp: {min_samp}, eps: {epsilon}")
-                elif epsilon.isnumeric():
-                    epsilon = float(epsilon)
                 else:
-                    epsilon = ms.eps
+                    try:
+                        epsilon = float(epsilon)
+                    except ValueError:
+                        break
+
                 # size_x = sys.getsizeof(X)/1024
                 # print(f"The dataset is {size_x} kilobytes")
                 print(f"Computing Clusters from {n_points} intersections.")
@@ -522,7 +530,7 @@ def write_czml(best_point, all_the_points, ellipsedata, plotallintersects, eps):
     best_point_packets = []
     ellipse_packets = []
 
-    if len(all_the_points) > 0 and (plotallintersects or eps == 0):
+    if len(all_the_points) > 0 and (plotallintersects or eps == "0"):
         all_the_points = np.array(all_the_points)
         scaled_time = minmax_scale(all_the_points[:,-1])
         all_the_points = np.column_stack((all_the_points, scaled_time))
@@ -784,7 +792,7 @@ def rx_params():
 @get('/output.czml')
 def tx_czml_out():
     eps = request.query.eps if request.query.eps else str(ms.eps)
-    min_samp = float(request.query.minpts) if request.query.minpts else ms.min_samp
+    min_samp = request.query.minpts if request.query.minpts else str(ms.min_samp)
     if request.query.plotpts == "true":
         plotallintersects = True
     elif request.query.plotpts == "false":
@@ -1233,14 +1241,14 @@ if __name__ == '__main__':
     parser.add_option("-d", "--database", dest="database_name", help="REQUIRED Database File", metavar="FILE")
     parser.add_option("-r", "--receivers", dest="rx_file", help="List of receiver URLs", metavar="FILE")
     parser.add_option("-g", "--geofile", dest="geofile", help="GeoJSON Output File", metavar="FILE")
-    parser.add_option("-e", "--epsilon", dest="eps", help="Max Clustering Distance, Default \"auto\". 0 to disable clustering.",
+    parser.add_option("-e", "--epsilon", dest="eps", help="Max Clustering Distance, Default \"auto\".",
     metavar="NUMBER or \"auto\"", default="auto")
     parser.add_option("-c", "--confidence", dest="conf", help="Minimum confidence value, default 10",
     metavar="NUMBER", type="int", default=10)
     parser.add_option("-p", "--power", dest="pwr", help="Minimum power value, default 10",
     metavar="NUMBER", type="int", default=10)
-    parser.add_option("-m", "--min-samples", dest="minsamp", help="Minimum samples per cluster. Default 20",
-    metavar="NUMBER", type="int", default=20)
+    parser.add_option("-m", "--min-samples", dest="minsamp", help="Minimum samples per cluster. Default: \"auto\"",
+    metavar="NUMBER or \"auto\"", default="auto")
     parser.add_option("--plot_intersects", dest="plotintersects", help="""Plots all the intersect points in a cluster.
      Only applies when clustering is turned on. This creates larger CZML files.""",action="store_true")
     parser.add_option("-o", "--offline", dest="disable", help="Starts program with receiver turned off.",

views/cesium.tpl

@@ -250,12 +250,20 @@
       const clustering_en = document.getElementById("clustering_en");
 
       if(minpointslider !== null) {
+        if (minpointslider.value > 0) {
           parameter += "minpts="+minpointslider.value+"&";
+        } else {
+          parameter += "minpts=auto&";
+        }
       }
       if (clustering_en !== null) {
         if (clustering_en.checked) {
+          if (epsslider.value == 0) {
             parameter += "eps=auto&";
           } else {
+            parameter += "eps="+epsslider.value+"&";
+          }
+        } else {
           parameter += "eps=0&";
         }
       }
@@ -400,22 +408,22 @@
       </span>
       <span class="slidevalue" id="confidence"></span>
     </div>
-    <!-- <div class="tooltip">
+    <div class="tooltip">
       <span class="tooltiptext">Epsilon:<br>
-        Maximum distance between neighboring points in a cluster. Set to 0 to disable clustering.<br>
-        Disabling clustering will plot all intersections and may cause longer load times.</span>
+        Maximum distance between neighboring points in a cluster.<br>
+        </span>
       <span class="slidespan">
-        <input name="epsilonValue" type="range" min="0" max="2" step="0.01" value="{{epsilon}}" class="slider" id="epsilonRange">
+        <input name="epsilonValue" type="range" min="0" max="2" step="0.01" value="{{0 if epsilon == "auto" else epsilon}}" class="slider" id="epsilonRange">
       </span>
       <span class="slidevalue" id="epsilon"></span>
     </div>
     <div class="tooltip">
-      <span class="tooltiptext">Minimum points per cluster</span>
+      <span class="tooltiptext">Minimum points per sample in a cluster.</span>
       <span class="slidespan">
-        <input name="minpointValue" type="range" min="0" max="300" step="5" value="{{minpoints}}" class="slider" id="minpointRange">
+        <input name="minpointValue" type="range" min="0" max="300" step="5" value="{{0 if minpoints == "auto" else minpoints}}" class="slider" id="minpointRange">
       </span>
       <span class="slidevalue" id="minpoints"></span>
-    </div> -->
+    </div>
     <div style="width: 600px">
       <span class="tooltip">
         <span class="slidetitle"><h4>Clustering:</h4></span>
@@ -424,7 +432,8 @@
           <input id="clustering_en" name="clustering_en" {{"checked" if epsilon == "auto" else ""}} type="checkbox" onchange="updateParams()">
           <span class="switchslider round"></span>
         </label></span>
-        <span class="tooltiptext">Turns clustering on or off. Clustering On will draw ellipses.</span>
+        <span class="tooltiptext">Turns clustering on or off. Clustering On will draw ellipses.
+        Disabling clustering will plot all intersections and may cause longer load times.</span>
       </span>
     </div>
     <div style="width: 600px">
@@ -452,13 +461,21 @@
     var confoutput = document.getElementById("confidence");
     confoutput.innerHTML = confslider.value;
 
-    // var epsslider = document.getElementById("epsilonRange");
-    // var epsoutput = document.getElementById("epsilon");
-    // epsoutput.innerHTML = epsslider.value;
+    var epsslider = document.getElementById("epsilonRange");
+    var epsoutput = document.getElementById("epsilon");
+    if (epsslider.value == 0) {
+      epsoutput.innerHTML = "Auto";
+    } else {
+      epsoutput.innerHTML = epsslider.value;
+    }
 
-    // var minpointslider = document.getElementById("minpointRange");
-    // var minpointoutput = document.getElementById("minpoints");
-    // minpointoutput.innerHTML = minpointslider.value;
+    var minpointslider = document.getElementById("minpointRange");
+    var minpointoutput = document.getElementById("minpoints");
+    if (minpointslider.value == 0) {
+      minpointoutput.innerHTML = "Auto";
+    } else {
+      minpointoutput.innerHTML = minpointslider.value;
+    }
 
     var rx_enable = document.getElementById("rx_en");
 
@@ -466,12 +483,16 @@
     // var clustering_en = document.getElementById("clustering_en");
 
     // Update the current slider value (each time you drag the slider handle)
-    // epsslider.oninput = function() {
-    //   epsoutput.innerHTML = this.value;
-    // }
-    // epsslider.onpointerup = function() {
-    //   updateParams("");
-    // }
+    epsslider.oninput = function() {
+      if (this.value > 0) {
+        epsoutput.innerHTML = this.value;
+      } else {
+        epsoutput.innerHTML = "Auto";
+      }
+    }
+    epsslider.onpointerup = function() {
+      updateParams("");
+    }
     powerslider.oninput = function() {
       poweroutput.innerHTML = this.value;
     }
@@ -484,12 +505,16 @@
     confslider.onpointerup = function() {
       updateParams("minconf="+this.value);
     }
-    // minpointslider.oninput = function() {
-    //   minpointoutput.innerHTML = this.value;
-    // }
-    // minpointslider.onpointerup = function() {
-    //   updateParams("");
-    // }
+    minpointslider.oninput = function() {
+      if (this.value > 0) {
+        minpointoutput.innerHTML = this.value;
+      } else {
+        minpointoutput.innerHTML = "Auto";
+      }
+    }
+    minpointslider.onpointerup = function() {
+      updateParams("");
+    }
 
     rx_enable.onchange = function() {
       if (rx_enable.checked) {