uaveiro-leci/1ano/1semestre/fp/aula07/stocks.py

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import re
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# Constantes para indexar os tuplos:
NAME, DATE, OPEN, MAX, MIN, CLOSE, VOLUME = 0, 1, 2, 3, 4, 5, 6
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def main():
lst = loadStockFile("datafiles/nasdaq.csv")
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# Show just first and last tuples:
print("first:", lst[1])
print("last:", lst[-1])
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print("a) totVol=", totalVolume(lst))
print("b) maxVal=", maxValorization(lst))
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stocksDic = stocksByDateByName(lst)
print("c) CSCO@11:", stocksDic['2020-10-12']['CSCO'])
print("c) AMZN@22:", stocksDic['2020-10-22']['AMZN'])
# Parte incompleta
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port = {'NFLX': 100, 'CSCO': 80}
print("d) portfolio@01:", portfolioValue(stocksDic, port, "2020-10-01"))
print("d) portfolio@30:", portfolioValue(stocksDic, port, "2020-10-30"))
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def loadStockFile(filename):
lst = []
with open(filename) as f:
for line in f:
parts = line.strip().split('\t')
name = parts[NAME]
date = parts[DATE]
tup = (name, date, float(parts[OPEN]), float(parts[MAX]),
float(parts[MIN]), float(parts[CLOSE]), int(parts[VOLUME]))
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lst.append(tup)
return lst
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def totalVolume(lst):
totVol = {}
# Complete ...
for tup in lst:
if tup[NAME] not in totVol:
totVol[tup[NAME]] = tup[VOLUME]
else:
totVol[tup[NAME]] += tup[VOLUME]
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return totVol
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def maxValorization(lst):
vMax = {}
# Complete ...
for data in range(1, 31):
maxDiario = 0
maxDiarioComp = "No data"
for tup in lst:
pat = r"0[1-9]"
dia = tup[DATE].split('-')[2]
if re.match(pat, dia):
dia = dia[1]
if data == int(dia):
maxcomp = tup[OPEN] / tup[CLOSE] * 100
if maxcomp > maxDiario:
maxDiario = maxcomp
maxDiarioComp = tup[NAME]
if maxDiarioComp != "No data":
vMax[data] = (maxDiarioComp, f"{maxDiario:.1f}%")
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return vMax
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def stocksByDateByName(lst):
dic = {}
# Complete ...
for tup in lst:
if tup[DATE] not in dic:
dic[tup[DATE]] = {}
dic[tup[DATE]][tup[NAME]] = tup
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return dic
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def portfolioValue(stocks, portfolio, date):
assert date in stocks
val = 0.0
# Complete ...
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for comp in portfolio:
val += portfolio[comp] * stocks[date][comp][CLOSE]
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return val
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if __name__ == "__main__":
main()