def map():
gpx_str = request.form.get('gps_data_str', None)
offset = request.args.get('offset', None)
car_str = request.args.get('car_str', None)
original_locations = request.args.get('original_locations', '[]')
original_times = request.form.get('original_times', '[]')
original_times_offset = request.form.get('original_times_offset', 0)
match_locations = request.args.get('match_locations', '[]')
json_str = None
print("MAP REQUESTED FOR %s" % (car_str, ))
if gpx_str is not None and len(gpx_str) > 0:
print('MAP REQUESTED WITH GPX_STR LENGTH: %d' % (len(gpx_str), ))
json_str = sf.convert_gpx_to_json(gpx_str, GMT_OFFSET)
elif car_str is not None:
# Build analysis list
gps_path = 'data/gps/%s/track.json' % (car_str, )
if exists(gps_path):
with open(gps_path, 'r') as json_file:
json_str = json_file.read()
else:
gpx_data = request.files.get('gps_data_gpx', None)
json_data = request.files.get('gps_data_json', None)
nmea_data = request.files.get('gps_data_nmea', None)
if gpx_data is not None:
gpx_str = gpx_data.stream.read()
if len(gpx_str) > 0:
print('MAP REQUESTED WITH GPX_STR LENGTH: %d' %
(len(gpx_str), ))
json_str = sf.convert_gpx_to_json(gpx_str, GMT_OFFSET)
if json_str is None and nmea_data is not None:
nmea_str = nmea_data.stream.read()
if len(nmea_str) > 0:
print('MAP REQUESTED WITH NMEA_STR LENGTH: %d' %
(len(nmea_str), ))
json_str = sf.convert_nmea_to_json(nmea_str,
nmea_data.filename,
GMT_OFFSET)
if json_str is None and json_data is not None:
json_str = json_data.stream.read()
if json_str is not None:
json_str = json_str.replace("'", '"')
return sf.template('map',
data=json_str,
offset=offset,
original_locations=original_locations,
original_times=original_times,
original_times_offset=original_times_offset,
match_locations=match_locations)
def cards(type=4):
if type == 1:
page_list = [[
[
(1, 'red', 'a'),
(24, 'blue', 'f'),
(3, 'orange', 'd'),
],
[
(18, 'purple', 'c'),
(4, 'white', 'd'),
(2, 'black', 'b'),
],
[
(9, 'green', 'a'),
(11, 'yellow', 'e'),
(19, 'red', 'c'),
],
[
(4, 'orange', 'b'),
(3, 'blue', 'f'),
(21, 'purple', 'a'),
],
]]
else:
page_list = []
i = 1
page = []
row = []
for car_color in CAR_COLORS:
for batch in range(1, len(CAR_NUMBER) + 1, 12):
limit = min(batch + 12, len(CAR_NUMBER) + 1)
for person_letter in PERSON_LETTERS:
for car_number in range(batch, limit):
row.append((car_number, car_color, person_letter))
if i % 3 == 0:
page.append(row)
row = []
if i % 12 == 0:
page_list.append(page)
page = []
i += 1
return sf.template('cards', page_list=page_list, type=type)
def overview():
return sf.template('overview')
def map_form():
return sf.template('map_form')
def gps_form():
return sf.template('gps')
def images_form():
return sf.template('images')
def index():
return sf.template(None)
def review(car, person):
# Process the car and person strings
car_str, car_number, car_color, person = sf.process_person(car, person)
# Load
fix_minute = int(request.args.get('fix_minute', 0))
fix_hour = int(request.args.get('fix_hour', 0))
fix_day = int(request.args.get('fix_day', 0))
vip = 'vip' in request.args
# Build analysis list
valid = False
data = None
analysis_dict = {}
analysis_dict[person] = None
gps_path = 'data/gps/%s/track.json' % (car_str, )
# Find friends
for friend in PERSON_LETTERS:
friend_path = join('data', 'analysis', car_str, friend)
if isdir(friend_path):
analysis_dict[friend] = None
# Get analysis for person and friends
for letter in analysis_dict.keys():
# Load offset from json
person_dir = join('data', 'images', car_str, letter)
# Load offset
offset_path = join(person_dir, 'offset.json')
if exists(offset_path):
with open(offset_path, 'r') as off:
data = json.load(off)
offset = data.get('offset', 0.0)
else:
offset = 0.0
# Load first image
try:
reported_time_first = vt.parse_exif_unixtime(
join(person_dir, 'first.jpg'))
reported_time_first += offset
except IOError:
reported_time_first = '-1'
try:
reported_time_last = vt.parse_exif_unixtime(
join(person_dir, 'last.jpg'))
reported_time_last += offset
except IOError:
reported_time_last = '-1'
# Load analysis
analysis_list = []
for species in ['zebra', 'giraffe']:
analysis_path = join('data', 'analysis', car_str, letter, species)
confidence_path = join(analysis_path, 'confidences.json')
if exists(confidence_path):
with open(confidence_path, 'r') as f:
data = json.load(f)
confidence_list = sorted(data.items(),
key=operator.itemgetter(1),
reverse=True)
# Load sorted prefixes
for (file_prefix, conf) in confidence_list:
# print(file_prefix, conf)
# Load metadata
data_str = ''
with open(join(analysis_path,
file_prefix + '_data.json')) as f:
data = json.load(f)
data['original_image_unixtime'] += offset
if 'match_annot_locations' not in data:
data['match_annot_locations'] = []
data_str = json.dumps(data).replace(' ', '').replace(
"'", '"')
# Load image paths
correspondences = url_for(
'static',
filename=join(analysis_path,
file_prefix + '_correspondences.jpg'))
original = url_for('static',
filename=join(
analysis_path,
file_prefix + '_original.jpg'))
match = url_for('static',
filename=join(analysis_path,
file_prefix + '_match.jpg'))
metadata = 'metadata-json=%s' % (data_str, )
# Build analysis
analysis = (len(analysis_list), conf, correspondences,
original, match, metadata)
analysis_list.append(analysis)
else:
print('ERROR: %s has no analysis' % (analysis_path, ))
analysis_dict[letter] = (reported_time_first, reported_time_last,
analysis_list)
# Set valid flag
if exists(gps_path):
with open(gps_path, 'r') as json_file:
data = json_file.read()
if exists(gps_path) and len(analysis_dict[person]) >= 1:
valid = True
# Set valid if override
if 'override' in request.args:
valid = True
# if data is not None:
# data = data.replace("'", '"')
return sf.template('review',
car_str=car_str,
car_color=car_color,
car_number=car_number,
person=person,
analysis_dict=analysis_dict,
data=data,
valid=valid,
fix_minute=fix_minute,
fix_hour=fix_hour,
fix_day=fix_day,
offset=offset,
vip=vip)
def workspace():
return sf.template('workspace')
