def section3(data, x, y, *verbs):
last_travel = data._last_travel
if last_travel[0] == x and last_travel[1][0] == verbs[0]:
verbs = last_travel[1] # same first verb implies use whole list
else:
data._last_travel = [x, verbs]
m, n = divmod(y, 1000)
mh, mm = divmod(m, 100)
if m == 0:
condition = (None,)
elif 0 < m < 100:
condition = ("%", m)
elif m == 100:
condition = ("not_dwarf",)
elif 100 < m <= 200:
condition = ("carrying", mm)
elif 200 < m <= 300:
condition = ("carrying_or_in_room_with", mm)
elif 300 < m:
condition = ("prop!=", mm, mh - 3)
if n <= 300:
action = make_object(data.rooms, Room, n)
elif 300 < n <= 500:
action = n # special computed goto
else:
action = make_object(data.messages, Message, n - 500)
move = Move()
if len(verbs) == 1 and verbs[0] == 1:
move.is_forced = True
else:
move.verbs = [make_object(data.vocabulary, Word, verb_n) for verb_n in verbs if verb_n < 100] # skip bad "109"
move.condition = condition
move.action = action
data.rooms[x].travel_table.append(move)
def parse_move(tree):
move = Move()
move.activity = "Unknown activity"
move.import_date_time = datetime.now()
return move
def create_move():
move = Move()
move.activity = GPX_ACTIVITY_TYPE
move.import_date_time = datetime.now()
return move
def strava_import(current_user, activity_id):
client = get_strava_client(current_user)
activity = client.get_activity(activity_id=activity_id)
stream_types = ['time', 'distance', 'latlng', 'temp', 'heartrate', 'velocity_smooth', 'altitude']
streams = client.get_activity_streams(activity_id, types=stream_types)
device_ids = [device_id for device_id, in db.session.query(func.distinct(Move.device_id))
.join(User)
.join(Device)
.filter(Device.name != gpx_import.GPX_DEVICE_NAME)
.filter(Move.user == current_user).all()]
assert len(device_ids) == 1
device_id = device_ids[0]
device = db.session.query(Device).filter_by(id = device_id).one();
activity_string = map_type(activity.type)
result = db.session.query(Move.activity_type).filter(Move.activity == activity_string).first()
if result:
activity_type, = result
else:
activity_type = None
move = Move()
move.user = current_user
move.duration = activity.elapsed_time
move.ascent = float(activity.total_elevation_gain)
move.speed_avg = float(activity.average_speed)
move.hr_avg = heart_rate(activity.average_heartrate)
move.temperature_avg = celcius_to_kelvin(activity.average_temp)
move.device = device
move.date_time = activity.start_date_local
move.activity = activity_string
move.activity_type = activity_type
move.distance = float(activity.distance)
move.import_date_time = datetime.now()
move.import_module = __name__
move.strava_activity_id = activity_id
move.public = False
move.source = "Strava activity id=%d; external_id='%s'" % (activity_id, activity.external_id)
lengths = set([len(streams[stream].data) for stream in streams])
assert len(lengths) == 1
length, = lengths
move.speed_max = move.speed_avg
all_samples = []
for i in range(0, length):
time = timedelta(seconds=streams['time'].data[i])
distance = float(streams['distance'].data[i])
if 'heartrate' in streams:
hr = float(streams['heartrate'].data[i])
else:
hr = None
if 'latlng' in streams:
lat, lng = streams['latlng'].data[i]
else:
lat = None
lng = None
if 'altitude' in streams:
altitude = float(streams['altitude'].data[i])
else:
altitude = None
if 'velocity_smooth' in streams:
speed = float(streams['velocity_smooth'].data[i])
else:
speed = None
if 'temp' in streams:
temperature = celcius_to_kelvin(streams['temp'].data[i])
else:
temperature = None
sample = Sample()
sample.sample_type = SAMPLE_TYPE
sample.move = move
sample.time = time
sample.utc = (activity.start_date + time).replace(tzinfo=None)
sample.distance = distance
sample.latitude = degree_to_radian(lat)
sample.longitude = degree_to_radian(lng)
sample.hr = heart_rate(hr)
sample.temperature = temperature
sample.speed = speed
sample.altitude = altitude
move.speed_max = max(move.speed_max, speed)
all_samples.append(sample)
derive_move_infos_from_samples(move, all_samples)
db.session.add(move)
db.session.commit()
return move
