def write_month_data_to_file( monthData , commodity ):
month = DateUtils.format_month( monthData.month )
year = str( monthData.year )
datafile = "price_data/" + year + " " + month + "/" + commodity + ".csv"
#create the new month folder, if necessary
if ( not os.path.exists( os.path.dirname( datafile ) ) ):
os.makedirs( os.path.dirname( datafile ) )
f = open( datafile , "w" )
f.write( str( monthData ) )
def read_month_data( month , year , commodity ):
rtn = MonthData( month , year )
dir = "price_data/" + str( year ) + " " + DateUtils.format_month( month )
try :
file = open( dir + "/" + commodity + ".csv" , "r" )
lines = file.readlines()
for line in lines :
datapoint = DataPoint.from_csv_month_data( year , month , line )
rtn.set( int( datapoint.get_day() ) , datapoint )
except IOError:
#there is no data, so ignore the error and return default
#values of 0 for daily and average prices
pass
return rtn
