本文整理汇总了Python中common.utilities.inversion_of_control.Dependency.call_find_entities_raw方法的典型用法代码示例。如果您正苦于以下问题:Python Dependency.call_find_entities_raw方法的具体用法?Python Dependency.call_find_entities_raw怎么用?Python Dependency.call_find_entities_raw使用的例子?那么, 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common.utilities.inversion_of_control.Dependency
的用法示例。
在下文中一共展示了Dependency.call_find_entities_raw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: CustomAnalyticsLoader
# 需要导入模块: from common.utilities.inversion_of_control import Dependency [as 别名]
# 或者: from common.utilities.inversion_of_control.Dependency import call_find_entities_raw [as 别名]
#.........这里部分代码省略.........
for company_id_2 in company_sql_ids:
# add a competition record for every away company with the away company's weight
competitors.append(Competitor.simple_init(company_id_1, company_id_2, company_weights[company_id_2], datetime.datetime(1900, 1, 1), None))
# map companies to itself
map(add_competitor_map, company_sql_ids)
# insert the competitors
company_competition_handler.insert_company_competition(competitors, self.target_db_name)
# ---------------------------- Private ---------------------------- #
def _get_normalized_store_dates(self, opened_date, closed_date, sorted_company_time_periods, time_period_dates):
# init the store has being opened on the first date and never closed
new_opened_date = None
new_closed_date = None
# if the passed in opened date is null, just assume it was open in the first time period
if opened_date is None:
new_opened_date = time_period_dates[sorted_company_time_periods[0]["label"]]
# loop through all the company's time periods
for index, tp in enumerate(sorted_company_time_periods):
# get date helpers
current_date = tp["date"]
# if new opened date hasn't been set and it's before this time period, set it
if new_opened_date is None and opened_date <= current_date:
new_opened_date = time_period_dates[tp["label"]]
# if we set the opened date, and closed date is null, than just break
if closed_date is None:
break
# this is an edge case. If end_date is also before the current date, than something is wrong and this store doesn't belong
# in that case, return null's for both
elif closed_date <= current_date:
return None, None
# if store closed before or on this date, than mark this date as the closed date
elif closed_date and current_date >= closed_date:
new_closed_date = time_period_dates[tp["label"]]
# assume that this is it, no need to continue the loop
break
# this is a check to fix a bug that was found (RET 3476)
if new_opened_date == new_closed_date:
# this should never happen and making it none will make sure the store doesn't get inserted
return None, None
return new_opened_date, new_closed_date
def _get_non_null_sorted_dates(self, time_period_dates):
# filter out None values
time_period_dates = filter(lambda value: value, time_period_dates)
# make them into dates
time_period_dates = [self._fast_date_parser.parse_date(date_str) for date_str in time_period_dates]
# sort by date and return
return sorted(time_period_dates)
def _get_date_query(self, time_period_dates):
# get sorted, non null dates
time_period_dates = self._get_non_null_sorted_dates(time_period_dates)
# if there's only one value, find all live stores during that time
if len(time_period_dates) == 1:
return time_interval_helper.active_as_of_analytics_date(time_period_dates[0])
# otherwise, return the range of the first-last date
else:
dates = [time_period_dates[0], time_period_dates[-1]]
return { "$or": time_interval_helper.live_entity_filter(dates, "interval", "$lte", "$gte") }
def _query_stores(self, query):
# create mds params
entity_fields = ["_id", "data.street_number", "data.street", "data.city", "data.state", "data.zip", "data.suite", "data.phone",
"data.latitude", "data.longitude", "data.shopping_center", "data.store_opened_date", "data.store_closed_date",
"data.store_id"]
params = self.mds_params.create_params(resource = "find_entities_raw", query = query, entity_fields = entity_fields)["params"]
# run query
return self.mds_access.call_find_entities_raw("trade_area", params)