import sys
sys.path.insert(0, "../../..")
from arrays import Array
from grid import Grid
from three_d_matrix import ThreeDMatrix
if __name__ == "__main__":
threedm = ThreeDMatrix(2, 3, 4)
depth = threedm.get_depth()
height = threedm.get_height()
width = threedm.get_width()
for d in range(depth):
gr = Grid(height, width)
for h in range(height):
ar = Array(width)
for w in range(width):
#((threedm[d])[h])[w] = (str(d) + str(h) + str(w))
#threedm.__getitem__(d).__getitem__(h).__setitem__(w, (str(d) + str(h) + str(w)))
ar.__setitem__(w, (str(d) + str(h) + str(w)))
gr.__setitem__(h, ar)
threedm.__setitem__(d, gr)
print(threedm)
class StockADT:
def __init__(self, name):
self.array = Array(5)
self.nname = name
self.name = Stock(name)
self.logo_giver(), self.news_giver(), self.get_fin(
), self.highest_lowest_definer()
def logo_giver(self):
self.array.__setitem__(1, self.name.get_logo()['url'])
def news_giver(self):
self.array.__setitem__(2, self.name.get_news()[0])
def get_fin(self):
list_of_koefs = []
result = self.name.get_financials()[0]
for item in [
'totalLiabilities', 'currentDebt', 'currentAssets',
'totalAssets', 'operatingIncome', 'netIncome'
]:
if result[item] == None:
result[item] = 1
list_of_koefs.append(
round(result['totalLiabilities'] / result['totalAssets'],
2)) # коефіцієнт заборгованості
list_of_koefs.append(
round(result['currentAssets'] / result['currentDebt'],
2)) # коефіцієнт покриття
list_of_koefs.append(
round(result['operatingIncome'] / result['currentAssets'],
2)) # оборотність власного капіталу
list_of_koefs.append(
round(result['netIncome'] / result['currentAssets'],
2)) # рентабельнітсь власного капіталу
list_of_koefs.append(result['netIncome'])
self.array.__setitem__(3, (list_of_koefs))
def time_definer(self):
historical_period = []
i = 1
while len(historical_period) != 21:
date_to_add = datetime.now() - timedelta(i)
if date_to_add.weekday() != 5 and date_to_add.weekday() != 6:
historical_period.append(str(date_to_add.date()))
i += 1
self.history = historical_period
def get_daily_price(self):
'''
object -> None
This method gets a json file with prices
'''
self.time_definer()
ts = TimeSeries(key='WYXA08Z6LYUO5HL1', retries=2)
# Get json object with the intraday data and another with the call's metadata
price = ts.get_daily(self.nname)[0]
result = {}
for i in price:
if i in self.history:
result[i] = price[i]
self.history = result
def highest_lowest_definer(self):
self.get_daily_price()
lowest = []
highest = []
for item in self.history:
lowest.append(float(self.history[item]['3. low']))
highest.append(float(self.history[item]['2. high']))
self.array.__setitem__(4, [min(lowest), max(highest)])
def __str__(self):
message = ''
for i in range(1, 5):
message += str(self.array.__getitem__(i))
message += '\n'
return message
