def upload_recording_buffer(self):
all_successful = True
time_frames = list()
line_count = sum(1 for _ in open(self.buffer_path))
ch_count = len(ch_names)
with open(self.buffer_path) as infile:
for i, line in enumerate(tqdm(infile, total=line_count)):
new_time_frame = TimeFrame.from_line(line)
if not len(new_time_frame.sensor_data) == ch_count:
Print.warning(
"Skipped TimeFrame with {} data points".format(
len(new_time_frame.sensor_data)))
Print.data(new_time_frame.sensor_data)
continue
time_frames.append(new_time_frame.to_json())
if (i + 1) % batch_size == 0:
if not self.upload_batch(time_frames):
Print.failure("Failed to upload batch")
all_successful = False
time_frames = list()
self.upload_batch(time_frames)
return all_successful
def upload_batch(time_frames):
url = URL.timeframes
r = requests.post(url, json=time_frames)
if r.status_code != 201:
Print.failure("Failed to upload batch")
return False
return True
def run(self):
is_successful = self.upload_recording_buffer()
if is_successful:
if not self.keep_buffer:
os.remove(self.buffer_path)
else:
Print.failure("Failed to upload recording buffer")
def create(cls):
url = URL.sessions
payload = dict(
person=sys_manager.person.id,
ch_names=ch_names,
is_real_data=sys_manager.is_real_data
)
r = requests.post(url, data=payload)
json_resp = r.json()
obj = cls(**json_resp)
if r.status_code == 201:
Print.api("Created New Session ({})".format(obj.id))
else:
Print.failure("Something went wrong")
return obj