本文整理汇总了Python中DB.insert_scan方法的典型用法代码示例。如果您正苦于以下问题：Python DB.insert_scan方法的具体用法？Python DB.insert_scan怎么用？Python DB.insert_scan使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类DB的用法示例。
在下文中一共展示了DB.insert_scan方法的1个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: handleRule
# 需要导入模块: import DB [as 别名]
# 或者: from DB import insert_scan [as 别名]
def handleRule(rule):
ic = ItemCrawler()
db_avg_cost = DB.get_avg_price(rule.link)
Log("{} for less then {} Chaos".format(rule.name, (PRICE_MULTIPLICATOR*db_avg_cost)),"CURRENT SCAN", "blue", 0)
hits = ic.hits(rule.link)
if not rule.enabled:
return
isFirst = True
hitCnt = 0
hitSum = 0
for hit in hits:
cost = Crawler.getCostFromEntry(hit)
ign = Crawler.getIGNFromEntry(hit)
(corrupted, item_name) = Crawler.getItemNameFromEntry(hit)
item_print = item_name
if not item_name:
item_name = "<NOT FOUND>"
else:
if corrupted:
item_print = Fore.RED + "Corrupted" + Fore.RESET + " " + item_name
chaos_cost = Currency.getChaosValue(cost)
# Solange noch kein Item gefunden wurde ist db_avg_cost = 0 und db_avg_cost * PRICE_IGNORE_MIN ebenfalls.
# Das gleiche gilt für PRICE_IGNORE_MAX
if not db_avg_cost:
db_avg_cost = chaos_cost
if chaos_cost < db_avg_cost * PRICE_IGNORE_MIN or chaos_cost > db_avg_cost * PRICE_IGNORE_MAX:
Log("Someone is selling {} ({}) for {} chaos!!".format(item_print, rule.link, chaos_cost),
"TROLL ALERT", "red", 0)
continue
if(hitCnt < MAX_HITS_FOR_AVG):
hitSum += chaos_cost
hitCnt += 1
# if chaos_cost <= rule.price and isFirst:
if chaos_cost <= (PRICE_MULTIPLICATOR*db_avg_cost):
Log("Schnappaaah : ", "INFO", "yellow", 0)
Log(rule.name, "RULE", None, 1)
Log(item_print, "ITEM", None, 1)
Log(rule.link, "LINK", None, 1)
Log(cost, "COST", None, 1)
Log(chaos_cost, "CHAOS COST", None, 1)
Log("@{} Hi, I would like to buy your {} listed for {} in {}\n".format(ign, item_name, cost, LEAGUE), "WHISPER", None, 1)
if rule.alert:
os.system("start C:\\Users\\Ramon\\workspace\\git\\rockwurst\\testsound.mp3")
isFirst = False
if len(hits) > 0:
hitAvg = hitSum / hitCnt
Log("took the first {} items with an avarage of {} chaos".format(hitCnt, hitAvg), "SCAN RESULT", "white", 0)
DB.insert_scan(rule.link, hitAvg)