diff --git a/auto_rx/autorx/geometry.py b/auto_rx/autorx/geometry.py
index f2dd72f..a53daf2 100644
--- a/auto_rx/autorx/geometry.py
+++ b/auto_rx/autorx/geometry.py
@@ -12,7 +12,7 @@ import numpy as np
 from .utils import position_info
 
 
-def getDensity(altitude):
+def getDensity(altitude, get_pressure=False):
     """ 
     Calculate the atmospheric density for a given altitude in metres.
     This is a direct port of the oziplotter Atmosphere class
@@ -75,6 +75,9 @@ def getDensity(altitude):
     # Finally, work out the density...
     speedOfSound = math.sqrt(gamma * R * temperature)
     pressure = pressureRel * pressureSL
+    if get_pressure:
+        return pressure
+        
     density = densitySL * pressureRel * temperatureSL / temperature
 
     return density
diff --git a/auto_rx/autorx/log_files.py b/auto_rx/autorx/log_files.py
index 515e286..cfc3d64 100644
--- a/auto_rx/autorx/log_files.py
+++ b/auto_rx/autorx/log_files.py
@@ -16,6 +16,7 @@ import numpy as np
 
 from dateutil.parser import parse
 from autorx.utils import short_type_lookup, readable_timedelta, strip_sonde_serial
+from autorx.geometry import GenericTrack, getDensity
 
 
 def log_filename_to_stats(filename):
@@ -90,7 +91,81 @@ def list_log_files():
 
 def read_log_file(filename):
     """ Read in a log file """
-    return {}
+    logging.debug(f"Attempting to read file: {filename}")
+
+    # Open the file and get the header line
+    _file = open(filename,'r')
+    _header = _file.readline()
+
+    # Initially assume a new style log file (> ~1.4.0)
+    # timestamp,serial,frame,lat,lon,alt,vel_v,vel_h,heading,temp,humidity,pressure,type,freq_mhz,snr,f_error_hz,sats,batt_v,burst_timer,aux_data
+    fields = {
+        'datetime':     'f0',
+        'serial':       'f1',
+        'frame':        'f2',
+        'latitude':     'f3',
+        'longitude':    'f4',
+        'altitude':     'f5',
+        'vel_v':        'f6',
+        'vel_h':        'f7',
+        'heading':      'f8',
+        'temp':         'f9',
+        'humidity':     'f10',
+        'pressure':     'f11',
+        'type':         'f12',
+        'frequency':    'f13',
+        'snr':          'f14',
+        'sats':         'f16',
+        'batt':         'f17',  
+    }
+
+    if 'other' in _header:
+        # Older style log file
+        #timestamp,serial,frame,lat,lon,alt,vel_v,vel_h,heading,temp,humidity,type,freq,other
+        # 2020-06-06T00:58:09.001Z,R3670268,7685,-31.21523,137.68126,33752.4,5.9,2.1,44.5,-273.0,-1.0,RS41,401.501,SNR 5.4,FERROR -187,SATS 9,BATT 2.7
+        fields = {
+            'datetime':     'f0',
+            'serial':       'f1',
+            'frame':        'f2',
+            'latitude':     'f3',
+            'longitude':    'f4',
+            'altitude':     'f5',
+            'vel_v':        'f6',
+            'vel_h':        'f7',
+            'heading':      'f8',
+            'temp':         'f9',
+            'humidity':     'f10',
+            'type':         'f11',
+            'frequency':    'f12', 
+        }
+        # Only use a subset of the columns, as the number of colums can vary in this old format
+        _data = np.genfromtxt(_file, dtype=None, encoding='ascii', delimiter=',', usecols=(0,1,2,3,4,5,6,7,8,9,10,11,12))
+
+    else:
+        # Grab everything
+        _data = np.genfromtxt(_file, dtype=None, encoding='ascii', delimiter=',')
+
+    _file.close()
+
+    # Now we need to rearrange some data for easier use in the client
+    _output = {
+        'serial': strip_sonde_serial(_data[fields['serial']][0])
+    }
+
+    # Path to display on the map
+    _output['path'] = np.column_stack((_data[fields['latitude']],_data[fields['longitude']],_data[fields['altitude']])).tolist()
+    _output['first'] = _output['path'][0]
+    _output['first_time'] = _data[fields['datetime']][0]
+    _output['last'] = _output['path'][-1]
+    _output['last_time'] = _data[fields['datetime']][-1]
+    _burst_idx = np.argmax(_data[fields['altitude']])
+    _output['burst'] = _output['path'][_burst_idx]
+    _output['burst_time'] = _data[fields['datetime']][_burst_idx]
+
+
+    # TODO: Calculate data necessary for Skew-T plots
+
+    return _output
     
 
 
@@ -99,20 +174,29 @@ def read_log_by_serial(serial):
 
 
     # Search in the logging directory for a matching serial number
-    _log_mask = os.path.join(autorx.logging_path, f"*_{serial}_*_sonde.log")
+    _log_mask = os.path.join(autorx.logging_path, f"*_*{serial}_*_sonde.log")
     _matching_files = glob.glob(_log_mask)
     
     # No matching entries found
     if len(_matching_files) == 0:
         return {}
+    else:
+        try:
+            data = read_log_file(_matching_files[0])
+            return data
+        except Exception as e:
+            logging.exception(f"Error reading file for serial: {serial}", e)
+            return {}
 
-    return {}
-    
 
 
 if __name__ == "__main__":
     import sys
 
+    logging.basicConfig(
+        format="%(asctime)s %(levelname)s:%(message)s", level=logging.DEBUG
+    )
+
     print(list_log_files())
 
     if len(sys.argv) > 1: