def create_from_file(self, file_path):
photo = Photo()
with open(file_path, 'rb') as f:
tags = exifread.process_file(f)
if 'GPS GPSLongitude' in tags:
# We have gps...
lon = convert_gps_ratio(tags['GPS GPSLongitude'].values)
if tags['GPS GPSLongitudeRef'].values == 'W':
lon *= -1
lat = convert_gps_ratio(tags['GPS GPSLatitude'].values)
if tags['GPS GPSLatitudeRef'].values == 'S':
lat *= -1
photo.latitude = lat
photo.longitude = lon
if 'Image DateTime' in tags:
# We have a date...
date_string = tags['Image DateTime'].values
date_fmt = '%Y:%m:%d %H:%M:%S'
timestamp_naiive = datetime.strptime(date_string, date_fmt)
tz = timezone.get_default_timezone()
if photo.latitude and photo.longitude:
tz = get_timezone(photo.latitude, photo.longitude)
photo.timestamp = timestamp_naiive.replace(tzinfo=tz)
# Now let's see if there's a matching ride!
rides = Ride.objects.filter(
start__lte=photo.timestamp,
end__gte=photo.timestamp
)
if rides.count() == 1:
photo.ride = rides[0]
photo.save()
photo.src.save(os.path.basename(file_path), File(f))
return photo
def create_from_cyclemeter(self, file_path):
ride = Ride(name='Ride')
map_bounds = {
'lat_min': 0,
'lat_max': 0,
'lon_min': 0,
'lon_max': 0
}
with open(file_path, 'r') as csvfile:
reader = csv.DictReader(csvfile)
tz = pytz.utc
for index, row in enumerate(reader):
this_coord = [float(row['Longitude']), float(row['Latitude'])]
date_fmt = '%Y-%m-%d %H:%M:%S'
if index == 0:
tz = get_timezone(*this_coord)
# Now we record the ride start time
ride.start = datetime.strptime(row['Time'], date_fmt).replace(tzinfo=tz)
map_bounds = {
'lat_min': this_coord[1],
'lat_max': this_coord[1],
'lon_min': this_coord[0],
'lon_max': this_coord[0]
}
else:
map_bounds = {
'lat_min': min(this_coord[1], map_bounds['lat_min']),
'lat_max': max(this_coord[1], map_bounds['lat_max']),
'lon_min': min(this_coord[0], map_bounds['lon_min']),
'lon_max': max(this_coord[0], map_bounds['lon_max'])
}
else:
"""Let's save the "ratio" of the map. We'll use this to figure
out which template to use...
"""
width = map_bounds['lon_max'] - map_bounds['lon_min']
height = map_bounds['lat_max'] - map_bounds['lat_min']
ride.map_ratio = width / float(height)
# Here, 'row' is the last row in the file...
ride.end = datetime.strptime(row['Time'], date_fmt).replace(tzinfo=tz)
ride.distance = float(row['Distance (miles)'])
ride.average_speed = float(row['Average Speed (mph)'])
ride_time = list(map(int, row['Ride Time'].split(':')))
ride.ride_time = timedelta(
hours=ride_time[0],
minutes=ride_time[1],
seconds=ride_time[2])
stopped_time = list(map(int, row['Stopped Time'].split(':')))
ride.stopped_time = timedelta(
hours=stopped_time[0],
minutes=stopped_time[1],
seconds=stopped_time[2])
ride.ride_file.save(os.path.basename(file_path), File(csvfile))
ride.save()
return ride
