Ejemplo n.º 1
0
 def find(api, defId, buy=None, num=0):
     lowest = buy
     items = api.searchAuctions('player', defId=defId, max_buy=buy, page_size=50)
     if items:
         lowest = min([i['buyNowPrice'] for i in items])
         num = sum([i['buyNowPrice'] == lowest for i in items])
         # If we have 50 of the same result, go one lower
         if num == 50:
             lowest -= decrement(lowest)
         if buy is None or lowest < buy:
             return find(api, defId, lowest, num)
     return (lowest, num)
Ejemplo n.º 2
0
 def find(api, defId, buy=0, num=0):
     lowest = buy
     items = api.searchAuctions('player',
                                defId=defId,
                                max_buy=buy,
                                page_size=50)
     if items:
         lowest = min([i['buyNowPrice'] for i in items])
         num = sum([i['buyNowPrice'] == lowest for i in items])
         # If we have 50 of the same result, go one lower
         if num == 50:
             lowest -= decrement(lowest)
         if buy == 0 or lowest < buy:
             return find(api, defId, lowest, num)
     return (lowest, num)
Ejemplo n.º 3
0
 def find(api, defId, buy=0, num=0):
     lowest = buy
     items = api.searchAuctions('player', defId=defId, max_buy=buy, page_size=50)
     if items:
         buyNowArray = [i['buyNowPrice'] for i in items]
         # Use the third lowest as result, to eliminate unusual low data point.
         lowest = sorted(buyNowArray)[min(2, len(buyNowArray) - 1)]
         num = sum([i['buyNowPrice'] <= lowest for i in items])
         # If we have 50 of the same result, go one lower
         if num == 50:
             lowest -= decrement(lowest)
         if num < 50:
             return (lowest, num)
         if buy == 0 or lowest < buy:
             return find(api, defId, lowest, num)
     return (lowest, num)
Ejemplo n.º 4
0
 def find(api, defId, buy=0, num=0):
     lowest = buy
     items = api.searchAuctions('player',
                                defId=defId,
                                max_buy=buy,
                                page_size=50)
     if items:
         buyNowArray = [i['buyNowPrice'] for i in items]
         # Use the third lowest as result, to eliminate unusual low data point.
         lowest = sorted(buyNowArray)[min(2, len(buyNowArray) - 1)]
         num = sum([i['buyNowPrice'] <= lowest for i in items])
         # If we have 50 of the same result, go one lower
         if num == 50:
             lowest -= decrement(lowest)
         if num < 50:
             return (lowest, num)
         if buy == 0 or lowest < buy:
             return find(api, defId, lowest, num)
     return (lowest, num)