Update readme, move map zoom control to top-right.

README.md

@@ -1,7 +1,5 @@
 # Project Horus - Browser-Based HAB Chase Map
 
-**Note: This is a work-in-progress. Features may be incomplete or non-functional!**
-
 This folder contains code to display payload (and chase car!) position data in a web browser:
 
 ![ChaseMapper Screenshot](https://github.com/projecthorus/chasemapper/raw/master/doc/chasemapper.jpg)
@@ -16,7 +14,7 @@ On other OSes the required packages should be named something similar.
 
 You also need flask-socketio, which can be installed using pip:
 ```
-$ sudo pip install flask-socketio
+$ sudo pip install flask-socketio pytz
 ```
 
 You can then clone this repository with:
@@ -44,7 +42,9 @@ Edit this file with your preferred text editor. The configuration file is fairly
  * At least one telemetry 'profile', which defines where payload and (optionally) car position telemetry data is sourced from.
  * A default latitude and longitude for the map to centre on.
 
-You can then start-up the horusmapper server with:
+The example configuration file includes profiles suitable for receiving data from radiosonde_auto_rx, and from OziMux messages.
+
+Once configured, you can start-up the horusmapper server with:
 ```
 $ python horusmapper.py
 ```

horusmapper.cfg.example

@@ -37,12 +37,13 @@ car_source_port = 55672
 # Other profiles can be defined in sections like the following:
 [profile_2]
 # Example source to take telemetry data from an instance of radiosonde_auto_rx
-# emitting Horus UDP packets on port 55673, but still accept car positions via the
-# 'standard' Horus UDP port 55672
+# emitting Horus UDP packets on port 55673, and accepts car positions from a local
+# instance of GPSD
 profile_name = auto_rx
 telemetry_source_type = horus_udp
 telemetry_source_port = 55673
-car_source_type = horus_udp
+car_source_type = gpsd
+# Since we are using GPSD, the car_source_port argument is unused, but still has to be defined.
 car_source_port = 55672
 
 

log_parse.py

@@ -313,12 +313,12 @@ def plot_predictor_error(flight_stats, predictor_errors, abort_predictor_errors=
                 _abort_predict_error.append(_entry[1])
 
         plt.plot(_abort_predict_time, _abort_predict_error, label='Abort Prediction')
+        plt.legend()
     
     plt.xlabel("Time (minutes)")
     plt.ylabel("Landing Prediction Error (km)")
     plt.title("Landing Prediction Error - %s" % callsign)
     plt.grid()
-    plt.legend()
 
 
 
@@ -328,6 +328,7 @@ if __name__ == "__main__":
     parser.add_argument("-c", "--config", type=str, default="horusmapper.cfg", help="Configuration file.")
     parser.add_argument("-v", "--verbose", action="store_true", default=False, help="Verbose output.")
     parser.add_argument("--predict-error", action="store_true", default=False, help="Calculate Prediction Error.")
+    parser.add_argument("--abort-predict-error", action="store_true", default=False, help="Calculate Abort Prediction Error.")
     parser.add_argument("--landing-lat", type=float, default=None, help="Override Landing Latitude")
     parser.add_argument("--landing-lon", type=float, default=None, help="Override Landing Longitude")
     args = parser.parse_args()
@@ -356,7 +357,10 @@ if __name__ == "__main__":
         if args.predict_error:
             if (args.landing_lat) != None and (args.landing_lon != None):
                 _predict_errors = calculate_predictor_error(_telemetry[_call]['predictions'], None, args.landing_lat, args.landing_lon, 0)
-                _abort_predict_errors = calculate_abort_error(_telemetry[_call]['predictions'], None, args.landing_lat, args.landing_lon, 0)
+                if args.abort_predict_error:
+                    _abort_predict_errors = calculate_abort_error(_telemetry[_call]['predictions'], None, args.landing_lat, args.landing_lon, 0)
+                else:
+                    _abort_predict_errors = None
                 plot_predictor_error(_stats, _predict_errors, _abort_predict_errors, _call)
 
             elif 'landing' in _stats:
@@ -365,7 +369,10 @@ if __name__ == "__main__":
                 _lon = _stats['landing'][2]
                 _alt = _stats['landing'][3]
                 _predict_errors = calculate_predictor_error(_telemetry[_call]['predictions'], _time, _lat, _lon, _alt)
-                _abort_predict_errors = calculate_abort_error(_telemetry[_call]['predictions'], _time, _lat, _lon, _alt)
+                if args.abort_predict_error:
+                    _abort_predict_errors = calculate_abort_error(_telemetry[_call]['predictions'], _time, _lat, _lon, _alt)
+                else:
+                    _abort_predict_errors = None
 
                 plot_predictor_error(_stats, _predict_errors, _abort_predict_errors, _call)
 

templates/index.html

@@ -309,6 +309,8 @@
             }
             ).addTo(map);
 
+            map.zoomControl.setPosition('topright');
+
             // Experimental routing control
             // Currently disabled, as there is currently not enough control around how the map is re-panned
             // after a route is calculated.