def __filter_trends(main,errors):
final_trends = {}
used_label = {}
product_errors = {}
country_errors = {}
for error in errors:
product_errors[error.split(",")[2]] = True
country_errors[error.split(",")[3]] = True
for trend in main.interesting_trends:
trendline = trend.split("$")[0].split("-")[-1]
year = Tools.getTrendYear(trendline)
continue_bool = False
try:
if (year < used_label[trend.split("-")[0]]):
continue_bool = True
except:
continue_bool = True
if (continue_bool):
try:
float(trend.split("-")[0])
try:
product_errors[trend.split("-")[0]]
except:
label = str(year) + "," + str(last_year) + "," + trend.split("-")[0] + ",," + "Import"
used_label[trend.split("-")[0]] = year
if (final_trends.get(label,0) != 0):
print ("Trend Found",label)
print ("Trend Found",label)
print ("Trend Found",label)
print ("Trend Found",label)
final_trends[label] = final_trends.get(label,0) + main.interesting_trends[trend]
except:
try:
country_errors[trend.split("-")[0]]
except:
label = str(year) + "," + str(last_year) + ",," + trend.split("-")[0] + "," + "Import"
used_label[trend.split("-")[0]] = year
final_trends[label] = final_trends.get(label,0) + main.interesting_trends[trend]
return final_trends
def __findInterestingTrends ():
main.interesting_trends = {}
# First it acquires the trends from the product trends
# print (relative_threashold)
for trend in main.product_trends:
print (trend)
product = trend.split("-")[0]
trendline = trend.split("-")[1]
trend_val = main.product_trends[trend]
year = Tools.getTrendYear(trendline)
# if (abs(trend_val)/(last_year - year + 1) >= )
# If the value of the trend (i.e. -.5 or a 50% decrease) times the size of the market (i.e. $1 billion dollars) is greater than the
# absolute threshold then insert the value into interesting trends
if (abs(trend_val)/(last_year - year + 1) >= main.relative_threashold):
start = main.getProduct(product, year)
# print(start)
end = main.getProduct(product, last_year)
net = end -start
# print ("Absolute",absolute_threshold,abs(net))
if(abs(net) > main.absolute_threshold and start > main.absolute_threshold):
# print ("Absolute",absolute_threshold,abs(net))
if (len(product)==4):
market_val = 1.1
else:
total = 0
for y in range (year,last_year):
total += main.getProduct(product[:-2],y)
market_average = total/(last_year - year + 1)
total = 0
for y in range (year,last_year):
total += main.getProduct(product,y)
product_average = total/(last_year - year + 1)
if (product_average == 0):
market_val = 0
else:
market_val = product_average/market_average
# print (market_val)
if (market_val > main.market_threshold):
label = "%s$%s" % (trend,net)
# print ("Absolute",absolute_threshold,abs(net),label)
main.interesting_trends[label] = trend_val
for trend in main.country_trends:
trend_val = main.country_trends[trend]
trendline = trend.split("-")[1]
country = trend.split("-")[0]
year = main.getTrendYear(trendline)
#
# if (not year):
# print ("Trend:",trend)
if (abs(trend_val)/(last_year - year + 1) >= main.relative_threashold):
start = main.getCountry(country,year)
end = main.getCountry(country,last_year)
net = end - start
# If the value of the trend (i.e. -.5 or a 50% decrease) times the size of the market (i.e. $1 billion dollars) is greater than the
# absolute threshold then insert the value into interesting trends
if (abs(net) > main.absolute_threshold and start > main.absolute_threshold):
# print ("Absolute",absolute_threshold,abs(net))
label = "%s$%s" % (trend,net)
# print ("Absolute",absolute_threshold,abs(net),label)
main.interesting_trends[label] = trend_val
return main.interesting_trends
