def build(self):
"""Create daisy book."""
print("Building DaisyBook...")
self.folder_name = self.title + '_' + get_current_timestamp() + '/'
create_dir(self.output_folder + self.folder_name)
print("All files stored in ", self.output_folder + self.folder_name)
self.elapsed_time = 0
print("Processing Pages....")
for i, page in enumerate(self.pages):
print("----Generating [HTML] file; Pg {}".format(i))
html_file = make_html(page, self.title, i,
self.output_folder + self.folder_name,
self.tag_config)
print("----Generating [MP3] file; Pg {}".format(i))
audio_lengths, audio_file = make_audio(
page, self.title, i, self.output_folder + self.folder_name)
print("----Generating [SMIL] file; Pg {}".format(i))
smil_header = make_smil(page, i, audio_lengths, self.title,
self.elapsed_time,
self.output_folder + self.folder_name,
self.tag_config)
self.audio_files.append(audio_file)
self.html_files.append(html_file)
self.smil_headers.append(smil_header)
self.elapsed_time += sum(audio_lengths)
print("----Generating [NCC] file; Book: {}".format(self.title))
self.make_ncc()
def get_exchange_rates_list_message(self):
data_loaded_from_file = utils.read_data_from_file_as_json(
os.path.join(os.environ['work_dir'], 'rates.json'))
expiration_time = 10 * 60 * 1000
last_timestamp = int(data_loaded_from_file['timestamp'])
current_timestamp = utils.get_current_timestamp()
f = open(os.path.join(os.environ['work_dir'], 'rates.json'), 'w')
if current_timestamp - last_timestamp < expiration_time:
data_loaded_from_file['timestamp'] = current_timestamp
utils.save_json_to_file(data_loaded_from_file, f)
return utils.format_decimal_values(data_loaded_from_file['rates'])
try:
data_loaded_from_api = self._get_exchange_rates_response_for_usd()
except BadRequestException:
return 'Something went wrong.'
rates = data_loaded_from_api['rates']
utils.save_json_to_file(
{
'rates': rates,
'timestamp': current_timestamp
}, f)
return utils.format_decimal_values(rates)
def __init__(self, scalename):
super(self.__class__, self).__init__()
# QtWidgets.QWidget.__init__(self)
self.scalename = scalename
with open('./config.json') as json_file:
config = load(json_file)
data_dir = config['data_directory']
self.longitudinal_scales = config['longitudinal_scales']
# this filename is ONLY for longitudinal scales
timestamp = get_current_timestamp().replace('-', '').replace(':', '')
self.results_fname = f'{data_dir}/longitudinal/{scalename}_{timestamp}.json'
from os import makedirs
from os.path import exists, dirname
if not exists(dirname(self.results_fname)):
makedirs(dirname(self.results_fname))
widget = QtWidgets.QWidget()
grid = QtWidgets.QGridLayout()
widget.setLayout(grid)
self.load_probes()
self.payload = {
} # to hold results (though they get overwritten everytime so could just init each time :/)
self.QProbes = {} # for later accessing the data
for i, (probe_var, probe_info) in enumerate(self.probes.items()):
# add the label, which is the probe text question
Label = QtWidgets.QLabel(probe_info['Description'])
grid.addWidget(Label, i, 0, 1, 1, QtCore.Qt.AlignBottom)
# add the response option, which ** varies dependent on response type **
if 'min' in probe_info['Levels'].keys():
# value counter
self.QProbes[probe_var] = QtWidgets.QSpinBox()
self.QProbes[probe_var].setRange(probe_info['Levels']['min'],
probe_info['Levels']['max'])
self.QProbes[probe_var].setSingleStep(
probe_info['Levels']['step'])
else:
# dropdown menu
self.QProbes[probe_var] = QtWidgets.QComboBox()
# for level_val, level_name in probe_info['Levels'].items():
self.QProbes[probe_var].addItems(probe_info['Levels'].values())
self.QProbes[probe_var].currentIndexChanged.connect(
self.update_payload)
grid.addWidget(self.QProbes[probe_var], i, 1)
self.setWidget(widget)
self.setWidgetResizable(True)
# main window stuff
# self.setMinimumWidth(widget.sizeHint().width())
width, height = widget.sizeHint().width(), 500
xloc, yloc = 500, 300
self.setGeometry(xloc, yloc, width, height)
self.setWindowTitle(scalename)
def get_mining_template(self) -> Block:
hdr = BlockHeader(timestamp=get_current_timestamp(),
prev_hash=self.get_top_block().hash(),
target=int256_to_bytes(FIXED_TARGET),
nonce=0x00000000,
tx_hash=self.get_queued_tx_hash())
block = Block(header=hdr, txs=self.tx_queue)
return block
def __init__(self):
self.api_resource = HTTPSConnection(host='api.exchangeratesapi.io')
if not os.path.exists(
os.path.join(os.environ['work_dir'], 'rates.json')):
f = open(os.path.join(os.environ['work_dir'], 'rates.json'), 'w')
data = self._get_exchange_rates_response_for_usd()
utils.save_json_to_file(
{
'rates': data['rates'],
'timestamp': utils.get_current_timestamp()
}, f)
def add_sensor_record(reading: float, sensor_type: str) -> None:
"""Adds one record to the sensor collection in the MongoDB database"""
collection = db_utils.get_collection_object(
collection_name=config.MONGODB_COLLECTION_SENSOR_DATA)
ts = utils.get_current_timestamp()
dt = utils.timestamp_to_datetime(timestamp_obj=ts)
obj_to_add = {
'_id': utils.generate_random_id(),
'reading': reading,
'timestamp': ts,
'datetime': str(dt),
'sensorType': sensor_type,
}
collection.insert_one(obj_to_add)
return None
def save_session_info(self):
ses_payload = {'acq_time': get_current_timestamp()}
for label, lineedit in zip(self.setupLabels, self.setupLEdits):
response = lineedit.text()
if response:
# sleep aids an be separate by commas
if ',' in response and label.text() in ['sleep_aids', 'LDIMs']:
response = [r.strip() for r in response.split(',')]
ses_payload[label.text()] = response
with open(self.session_fname, 'w') as json_file:
dump(ses_payload,
json_file,
sort_keys=True,
indent=4,
ensure_ascii=False)
print(f'Saved {self.session_fname}')
def __init__(self, session_dir, parent=None):
super(self.__class__, self).__init__(parent)
with open('./config.json') as json_file:
config = load(json_file)
# data_dir = config['data_directory']
self.available_scales = config['arousal_scales']
# generates arousal id
# self.init_new_arousal()
# for creating/saving
timestamp = get_current_timestamp().replace('-', '').replace(':', '')
self.dream_fname = f'{session_dir}/arousal-{timestamp}.json'
self.init_CentralWidget()
def init_new_session(self):
"""Append the session file with a new session and timestamp it.
And add an *empty* arousal.tsv file.
"""
if not self.sender().isChecked():
self._sessionRunning = False
else:
timestamp = get_current_timestamp()
ts4fname = timestamp.replace('-', '').replace(':', '')
self.session_dir = f'{self.data_dir}/session-{ts4fname}'
self.session_fname = f'{self.session_dir}/session_info.json'
os.mkdir(self.session_dir)
self.save_session_info()
self._sessionRunning = True
def get_upcoming_events():
"""
Get events with start time in future sorted oldes first
"""
redis_instance = app.extensions['redis']['REDIS']
now_seconds = get_current_timestamp()
upcoming_events = redis_instance.zrangebyscore(app.config['REDIS_KEY_EVENT_START'], now_seconds, '+inf')
# Setup Redis transaction
pipe = redis_instance.pipeline()
# Add commands to transaction
for short_name in upcoming_events:
pipe.hgetall(app.config['REDIS_KEY_EVENT_INFO'] % short_name)
# Execute and return True if no Falses in Redis multi bulk reply
return pipe.execute()
def save_dream_json(self):
# initialize the payload empty because only adding stuff that was completeed
payload = {'acq_time': get_current_timestamp()}
# get arousal type
arousal_type = self.aroTypeLEdit.text()
if len(arousal_type) > 0:
payload['arousal_type'] = arousal_type
# get text dream report
dream_report = self.reportText.toPlainText()
if len(dream_report) > 0:
payload['report'] = dream_report
# get text memory sources report
memsrc_report = self.memsrcText.toPlainText()
if len(memsrc_report) > 0:
payload['memory_sources'] = memsrc_report
# get lucidity response
downBttns = [b for b in self.lucidityRadBttns if b.isChecked()]
if len(downBttns) > 0:
payload['lucid'] = downBttns[0].text()
# add scale responses
for scalename, scalewidg in self.popups.items():
if self.popups_completed[scalename]:
payload[scalename] = scalewidg.payload
# payload['scales'][scalename] = [ slid.value() for slid in scalewidg.sliders.values() ]
# responses = { qnum: slid.value() for qnum, slid in scalewidg.sliders.items() }
# save
# # If it's the first arousal, then need to make dreams directory.
# if self.aro_id == 'aro-001':
# os.mkdir(os.path.dirname(self.dream_fname))
with open(self.dream_fname, 'w') as outfile:
dump(payload,
outfile,
sort_keys=True,
indent=4,
ensure_ascii=False)
print(f'Saved {self.dream_fname}')
def cleanup_events():
"""
Cleanup old events from Redis. Redis key expires should take care of everything but sorted sets.
"""
redis_instance = app.extensions['redis']['REDIS']
# Get short names of old events
now_seconds = get_current_timestamp()
removable_names = redis_instance.zrangebyscore(app.config['REDIS_KEY_EVENT_END'], '-inf', now_seconds)
# Setup Redis transaction
pipe = redis_instance.pipeline()
# Add commands to transaction
pipe.zrem(app.config['REDIS_KEY_EVENT_START'], removable_names)
pipe.zrem(app.config['REDIS_KEY_EVENT_END'], removable_names)
# Execute and return True if no Falses in Redis multi bulk reply
#return False not in pipe.execute()
return pipe.execute()
def get_ongoing_events():
"""
Get events with start time in past sorted oldest first.
Expires and cleanup_events() should cause only relevant events to show up.
"""
redis_instance = app.extensions['redis']['REDIS']
now_seconds = get_current_timestamp()
upcoming_events = redis_instance.zrangebyscore(app.config['REDIS_KEY_EVENT_START'], '-inf', now_seconds)
# Setup Redis transaction
pipe = redis_instance.pipeline()
# Add commands to transaction
for short_name in upcoming_events:
pipe.hgetall(app.config['REDIS_KEY_EVENT_INFO'] % short_name)
# Execute and return True if no Falses in Redis multi bulk reply
return pipe.execute()
def copy_new_lead_from_customer(customer, customer_account):
new_lead = Lead(customer_account.mobile)
new_lead.full_name = customer.full_name
new_lead.short_name = customer.short_name
new_lead.sea_type = LeadSeaType.TAOMI_PRIVATE
new_lead.relation_id = customer.relation_id
new_lead.lead_source = LeadSource.TAOMI_DEPT
new_lead.lead_status = TaomiStatus.L
new_lead.city = customer_account.city
new_lead.city_cn = customer_account.city_cn
new_lead.main_category = customer_account.main_category
new_lead.main_category_cn = customer_account.main_category_cn
new_lead.top_category = customer_account.top_category
new_lead.top_category_cn = customer_account.top_category_cn
new_lead.copy_time = get_current_timestamp()
new_lead.is_frozen = 1
db.session.add(new_lead)
db.session.commit()
new_lead.build_search()
return new_lead
token = json.loads(token_response).get("data")
if not token:
print("failed to obtain authentication token")
else:
# request headers
headers = {"languageType": "zh_CHS", "X-Authorization": token}
# request parameters
params = {"rotateDegree": 0, "modelType": 0, "isResponseImageRequired": True}
use_binary = False
if use_binary:
binary_files = {'file': (file_name, open(file_path, 'rb'))}
response = requests.post(url=alignment_url, headers=headers, data=params, files=binary_files, verify=False).text
response = json.loads(response)
print(json.dumps(response, ensure_ascii=False))
else:
base64_img = utils.img_to_base64(file_path)
base64_files = {'base64Image': (None, base64_img)}
response = requests.post(url=alignment_url, headers=headers, data=params, files=base64_files, verify=False).text
response = json.loads(response)
print(json.dumps(response, ensure_ascii=False))
# If isResponseImageRequired is set to True, store the processed image
response_data = response.get('data')
if response_data:
base64_img_data = response_data.get('base64ImageDst')
if base64_img_data and base64_img_data != '':
utils.base64_to_img(base64_img_data, utils.get_current_timestamp() + ".jpg")
international.add_ambit(
Ambito("Internacional",
get_radio_channels_from_part(canales_internacionales)))
canales_andorra = stringbetween(content, "## Andorra", "")
andorra.add_ambit(
Ambito("Andorra", get_radio_channels_from_part(canales_andorra)))
# Save data to JSON file
json_result = {
"license": get_license_info(),
"epg_url": None,
"countries": [spain.to_json(),
international.to_json(),
andorra.to_json()],
"updated": get_current_timestamp()
}
json_file = open('./public/output/radio_channels.json', "w+")
json_file.write(json.dumps(json_result, indent=4, sort_keys=False))
json_file.close()
print("JSON Updated")
# Save data to M3U8 file
text_file = open('./public/output/radio_channels.m3u8', "w+")
text_file.write("#EXTM3U" + "\n")
text_file.write("# @LaQuay https://github.com/LaQuay/TDTChannels" + "\n")
text_file.write(spain.to_m3u8())
text_file.write(international.to_m3u8())
text_file.write(andorra.to_m3u8())
text_file.close()
print("M3U8 Updated")
def monthly_energy_csv():
"""Returns the WattWatchers long_energy endpoint formatted as csv
params:
- api_key: as specified by the WattWatchers API docs
- device_id: as specified by the WattWatchers API docs
- from_ts (optional)
response:
- status 200, with the csv in the body for successful requests
Note: the units for the energy fields are kWh, unlike the WW API
- status 400 for unsuccessful requests
"""
# get parameters
api_key = request.args.get('api_key')
device_id = request.args.get('device_id')
from_ts = request.args.get('from_ts')
to_ts = request.args.get('to_ts')
granularity = request.args.get('granularity') or '30m'
if wattwatchers_api.GRANULARITY.index(
granularity) < wattwatchers_api.GRANULARITY.index('30m'):
return 'Invalid granularity. Smallest granularity for monthly data is 30m', 400
if from_ts and not from_ts.isdigit():
return 'Invalid unix timestamp for from_ts.', 400
if to_ts and not to_ts.isdigit():
return 'Invalid unix timestamp for to_ts.', 400
# compute timestamps to ensure we get 1 month worth of data
# assume one month is 31 days for simplicity
one_month_in_secs = 31 * 24 * 60 * 60
if not from_ts and not to_ts:
to_ts = get_current_timestamp()
from_ts = to_ts - one_month_in_secs
elif not to_ts:
to_ts = int(from_ts) + one_month_in_secs
elif not from_ts:
from_ts = int(to_ts) - one_month_in_secs
# make call to WattWatchers API
try:
results = wattwatchers_api.long_energy(api_key,
device_id,
granularity=granularity,
from_ts=from_ts,
to_ts=to_ts)
except Exception as e:
return 'Could not fetch data from wattwachers api: %s' % str(e), 400
# convert energy values from joules to kWh
for entry in results:
for key in entry:
if key in wattwatchers_api.ALL_ENERGY_FIELDS:
entry[key] = [joules_to_kwh(int(x)) for x in entry[key]]
# determine the number of channels
num_channels = 0
if isinstance(results, list) and len(results) > 0 and isinstance(
results[0], dict):
num_channels = len(results[0].get(
wattwatchers_api.LONG_ENERGY_DATA_FIELDS[0], []))
csv = formatters.to_csv(
results,
header_fields=wattwatchers_api.HEADER_FIELDS,
data_fields=wattwatchers_api.LONG_ENERGY_DATA_FIELDS,
num_channels=num_channels)
return Response(csv, mimetype='text/plain')
