Added a working match class that returns best match for radiation and position.

Still ugly and a lot of debug output. Also not finished.

functions.py

@@ -11,7 +11,7 @@ import pyexiv2
 
 class Radiation:
     '''
-    Reiceives Values vom CSV file and creates a list of the relevant data
+    Reiceives values vom CSV file and creates a list of the relevant data
 
     Arguments:
     timestamp: Date/time string from CSV as string
@@ -101,27 +101,24 @@ class Match:
     position_list: list of timestamp / position / elevation values
     
     Returns:
-    timestamp: as datetime object
-    radiation: in µS/h as string
-    latitude: in decimal format as float
-    longitude: in decimal format as float
-    elevation: in meters as float
+    minimal timedelta: as timedelta object
+    best matching valuerow
     '''
 
     def __init__(self, photo_time, radiation_list, position_list):
-#        self.radiation = self._find_match(photo_time, radiation_list)
-        self.position = self._find_match(photo_time, position_list)
+        self.radiation = self._find_radiation_match(photo_time, radiation_list)
+        self.position = self._find_position_match(photo_time, position_list)
 
     def __repr__(self):
         pass
 
-    def _find_match(self, photo_time, list):
+    def _find_radiation_match(self, photo_time, list):
         valuelist = []
         for row in list:
             # Define timedelta and define timedelta datetime object.
             delta = timedelta(seconds=60)
-            time_delta = abs(row.timestamp - photo_time)
-#            time_delta = abs(row[0] - photo_time)
+            if row.timestamp:
+                time_delta = abs(row.timestamp - photo_time)
             # datetime objects should match with 1 minute precision.
             if time_delta < delta:
                 element = (time_delta, row)
@@ -129,6 +126,25 @@ class Match:
         # Return the list item with the lowest timedelta in column 0.
         # Column 2 contains the source objects untouched.
         if valuelist:
+            print(min(valuelist, key=lambda x: x[0]))
+            return min(valuelist, key=lambda x: x[0])
+        return None
+
+    def _find_position_match(self, photo_time, list):
+        valuelist = []
+        for row in list:
+            # Define timedelta and define timedelta datetime object.
+            delta = timedelta(seconds=60)
+            if row[0]:
+                time_delta = abs(row[0] - photo_time)
+            # datetime objects should match with 1 minute precision.
+            if time_delta < delta:
+                element = (time_delta, row)
+                valuelist.append(element)
+        # Return the list item with the lowest timedelta in column 0.
+        # Column 2 contains the source objects untouched.
+        if valuelist:
+            print(min(valuelist, key=lambda x: x[0]))
             return min(valuelist, key=lambda x: x[0])
         return None
 

rad_tag.py

@@ -10,7 +10,7 @@ import csv
 import argparse
 import pytz
 import gpxpy
-from functions import Radiation, Photo, Exif, Match
+from functions import Radiation, Photo, Match, Exif
 
 # SIFACTOR for GQ Geiger counters
 
@@ -60,21 +60,22 @@ with open(args.csv, "r") as f:
     for _, csv_raw_time, csv_raw_cpm, _ in csv:
         radiation = Radiation(csv_raw_time, csv_raw_cpm, local_timezone, args.sifactor)
         radiation_list.append(radiation)
-
     # close CSV file
     f.close()
 
-# Import GPX track(s)
+# Import GPX track(s)print
 if args.gpx is not None:
     gpx_file = open(args.gpx, 'r')
     gpx_reader = gpxpy.parse(gpx_file)
-
-    for waypoint in gpx_reader.waypoints:
-        for track in gpx_reader.tracks:
-            for segment in track.segments:
-                for point in segment.points:
-                    position = [point.time, point.latitude, point.longitude, point.elevation]
-                    position_list.append(position)
+    #for waypoint in gpx_reader.waypoints:
+    for track in gpx_reader.tracks:
+        for segment in track.segments:
+            for point in segment.points:
+                point_aware_time = point.time.astimezone(local_timezone)
+                #point_aware_time = point_naive_time.astimezone(local_timezone)                
+                position = (point_aware_time, point.latitude, point.longitude,
+                            point.elevation, local_timezone)
+                position_list.append(position)
 
 # Inform the user about what is going to happen
 if args.dry is True:
@@ -92,6 +93,7 @@ for src_photo in args.photos:
     # Here the matching magic has to happen
 
     match = Match(photo.get_date, radiation_list, position_list)
+    #print(match)
 
     latitude = 51.0234024
     longitude = 7.248347
@@ -100,7 +102,7 @@ for src_photo in args.photos:
     
     # Write exif data
     exif_tags = Exif(photo.get_target_photo, args.dry, radiation, latitude, longitude, elevation)
-    print(exif_tags)
+    #print(exif_tags)
 
 # Print table header
 print('{:<15} {:<25} {:<22}'.format('filename', 'date / time', 'Exif UserComment'))