def sample_sensor_data(sample_data_ammount):
print("Creating sample 'Sensor' data...")
data_created = 0
pbar = tqdm(total=sample_data_ammount)
while data_created < sample_data_ammount:
random_track_id = random.choice(query.get_collection_docs('Tracks'))
id = '{}{}'.format(random_track_id, random.randint(101,999)).translate({ord(char): None for char in "'[]'"})
if query.check_data_existance('Sensors',id) == True:
continue
else:
sensor_ref = query.db.collection('Sensors').document(id)
sensor_ref.set(c_class.Timestamp(random_sensor_data()).to_dict())
i = 1
while i < 5:
sensor_ref.update(c_class.Timestamp(random_sensor_data()).to_dict())
pbar.update(+(1/4))
i = i + 1
data_created = data_created + 1
print("\nSuccesfully sent all {} 'Sensor' data samples to the Database!".format(sample_data_ammount))
def sample_investment_data(sample_data_ammount):
print("Creating sample 'Investment' data...")
data_created = 0
pbar = tqdm(total=sample_data_ammount)
while data_created < sample_data_ammount:
random_sponsor_id = random.choice(query.get_collection_docs('Sponsors'))
random_item_id = random.choice([random.choice(query.get_collection_docs('Tracks')), random.choice(query.get_collection_docs('Sensors')), random.randint(10001,99999)]) # add func to get control ids
id = '{}{}'.format(random_sponsor_id, random_item_id)
if query.check_data_existance('Investments',id) == True:
continue
else:
investment_ref = query.db.collection('Investments').document(id)
investment_ref.set(c_class.Timestamp(random_investment_data()).to_dict())
i = 1
while i < 5:
investment_ref.update(c_class.Timestamp(random_investment_data()).to_dict())
pbar.update(+(1/4))
i = i + 1
data_created = data_created + 1
print("\nSuccesfully sent all {} 'Investment' data samples to the Database!".format(sample_data_ammount))
def get_multiple_document_data_test(collection, document):
doc_ref = db.collection(collection).document(document)
docs = doc_ref.get()
timestamp = c_class.Timestamp(docs.to_dict())
for key, value in timestamp:
investment = c_class.Investment(**value)
print('Key = ', key)
print('Value = ', value)
print('Investment (class) data = ', investment)
print('Investment.ammount = ', investment.ammount)
print('Investment.hashtags =', investment.allocated_to)
print('Investment.hashtags[i] =', investment.allocated_to[1])
if 'fast' in investment.allocated_to:
print("'term' is in 'hashtags'!")
if not 'whom' in investment.allocated_to:
print("'term' is NOT in 'hashtags'!")
print("#---------------------------------------#")
print("Devices are cleared and ready for setup!\n Closing program...")
time.sleep(3)
exit(1)
else: ##IMPROVE THIS CSV FILE FORMATTING
csvfile_path = input("Please input the path for your CSV document:\n")
with open(csvfile_path, 'w', newline='') as csv_mode:
csv.writer(csv_mode).writerow(datetime.datetime.now().strftime("%Y-%m-%d %H:%M"))
smartband_row = csv.DictWriter(csv_mode, fieldnames=['Smartband Data'])
smartband_row.writeheader()
smartband_row.writerow({'Smartband Data': smartband_data})
sensor_row = csv.DictWriter(csv_mode, fieldnames=['Sensor Data'])
sensor_row.writeheader()
sensor_row.writerow({'Sensor Data': sensor_data})
else: #edit
sensor_ref = query.db.collection('Sensors').document(id)
sensor_ref.set(c_class.Timestamp(random_sensor_data()).to_dict())
i = 1
while i < 5:
sensor_ref.update(c_class.Timestamp(random_sensor_data()).to_dict())
pbar.update(+(1/4))
i = i + 1
data_created = data_created + 1
arduino.write(b'b')
print('Erasing wristband data...')
except:
continue
valid_data = (arduino_data[0:-2])
print('Parabens, voce percorreu {} metros na ultima trilha!'.format(valid_data[2]))
print(valid_data)
print('SensorID: {}, RegionID: {}, Sensor Position: {}, Avg. Attempt: {}, State: {}, Connections: {}'.format(
valid_data[0],valid_data[1],valid_data[2],valid_data[3],valid_data[4],valid_data[5]))