def get_data_by_date_range(name, startMonth, startYear, endMonth, endYear):
caseSensitiveName = DataManager.idToName[DataManager.nameToId[
name.lower()]]
rtn = []
#iterate through month by month, year by year from the start to the
#end and add any nonzero datapoints to the list of data
currYear = startYear
currMonth = startMonth
while (currYear <= endYear):
#if the current year is before the end year, then we just
#iterate through all months
if (currYear < endYear):
while (currMonth <= 12):
monthData = PriceReader.read_month_data(
currMonth, currYear, caseSensitiveName)
for day in range(1, len(monthData.data)):
prices = monthData.get(day)
#we only add nonzero prices becauase prices of 0
#means that there was no price data for that given date
if (prices[0] != 0 and prices[1] != 0):
rtn.append((currYear, currMonth, day, prices[0],
prices[1]))
currMonth = currMonth + 1
#have to reset the month back to 1 after we've gone through
#all 12 months in the current year
currMonth = 1
#if the current year is the end year, then we can only iterate
#up to the end month
elif (currYear == endYear):
while (currMonth <= endMonth):
monthData = PriceReader.read_month_data(
currMonth, currYear, name)
for day in range(1, len(monthData.data)):
prices = monthData.get(day)
if (prices[0] != 0 and prices[1] != 0):
rtn.append((currYear, currMonth, day, prices[0],
prices[1]))
currMonth = currMonth + 1
#move on to the next year
currYear = currYear + 1
return rtn
def get_data_by_date_range( name , startMonth , startYear , endMonth , endYear ):
caseSensitiveName = DataManager.idToName[ DataManager.nameToId[ name.lower() ] ]
rtn = []
#iterate through month by month, year by year from the start to the
#end and add any nonzero datapoints to the list of data
currYear = startYear
currMonth = startMonth
while( currYear <= endYear ):
#if the current year is before the end year, then we just
#iterate through all months
if ( currYear < endYear ):
while( currMonth <= 12 ):
monthData = PriceReader.read_month_data( currMonth , currYear , caseSensitiveName )
for day in range( 1 , len( monthData.data ) ):
prices = monthData.get( day )
#we only add nonzero prices becauase prices of 0
#means that there was no price data for that given date
if ( prices[ 0 ] != 0 and prices[ 1 ] != 0 ):
rtn.append( (currYear , currMonth , day , prices[ 0 ] , prices[ 1 ] ) )
currMonth = currMonth + 1
#have to reset the month back to 1 after we've gone through
#all 12 months in the current year
currMonth = 1
#if the current year is the end year, then we can only iterate
#up to the end month
elif ( currYear == endYear ):
while( currMonth <= endMonth ):
monthData = PriceReader.read_month_data( currMonth , currYear , name )
for day in range( 1 , len( monthData.data ) ):
prices = monthData.get( day )
if ( prices[ 0 ] != 0 and prices[ 1 ] != 0 ):
rtn.append( (currYear , currMonth , day , prices[ 0 ] , prices[ 1 ] ) )
currMonth = currMonth + 1
#move on to the next year
currYear = currYear + 1
return rtn
def get_profitability_rankings( totalFunds , duration ):
f = open( "price_data/item_ids" , 'r' )
rankings = []
for line in f.readlines():
commodityId = int(line.split( "," )[ 1 ])
data = PriceReader.get_price_data_from_csv( commodityId )
rankings.append( (data , ProfitabilityRanker.get_item_profitability( data , totalFunds , duration ) ) )
rankings.sort( key=lambda x: -1*x[1] )
return rankings
def get_profitability_rankings(totalFunds, duration):
f = open("price_data/item_ids", 'r')
rankings = []
for line in f.readlines():
commodityId = int(line.split(",")[1])
data = PriceReader.get_price_data_from_csv(commodityId)
rankings.append((data,
ProfitabilityRanker.get_item_profitability(
data, totalFunds, duration)))
rankings.sort(key=lambda x: -1 * x[1])
return rankings
def get_data_by_id(id):
return PriceReader.get_price_data_from_csv(id)
def get_data_by_name(name):
id = DataManager.nameToId[name.lower()]
return PriceReader.get_price_data_from_csv(id)
def get_data_by_id( id ):
return PriceReader.get_price_data_from_csv( id )
def get_data_by_name( name ):
id = DataManager.nameToId[ name.lower() ]
return PriceReader.get_price_data_from_csv( id )
def get_data_by_id( commodityId ):
from price_data_io import PriceReader
return PriceReader.get_price_data_from_csv( commodityId )
def get_data_by_id(commodityId):
from price_data_io import PriceReader
return PriceReader.get_price_data_from_csv(commodityId)