def process_entry(entry):
global all_prices_calendar, most_recent_prices
#`listing_id`,`date_start`, `date_end`, `rate`
#
#default_daily, weekend_increase, currency_id
listing_id = entry[0]
if listing_id not in valid_listings:
return
temp_price = decode_rates(entry[3])
if temp_price['default_daily'] == 0:
return True
for day in time._daterange(entry[1], entry[2]):
if day >= datetime.date(2014, 1, 1) and day <= datetime.date(2016, 1, 29):
if _check_weekday: #true when weekend
all_prices_calendar[listing_id][day.strftime("%Y")][day.strftime("%Y-%m-%d")] = _convert_currency((temp_price["default_daily"] + temp_price["weekend_increase"]), temp_price["currency_id"])
else:
all_prices_calendar[listing_id][day.strftime("%Y")][day.strftime("%Y-%m-%d")] = _convert_currency(temp_price["default_daily"], temp_price["currency_id"])
this_try = fill_nones(listing_id, entry[1])
if this_try is None:
#in the case that this is the first price and it doesn't cover up to the beginning of the trianing period
most_recent_prices[listing_id] = temp_price
fill_nones(listing_id, entry[1])
most_recent_prices[listing_id] = temp_price
def process_entry(entry):
global all_prices_calendar, most_recent_prices
#`listing_id`,`date_start`, `date_end`, `rate`
#
#default_daily, weekend_increase, currency_id
listing_id = entry[0]
if listing_id not in valid_listings:
return
temp_price = decode_rates(entry[3])
if temp_price['default_daily'] == 0:
return True
for day in time._daterange(entry[1], entry[2]):
if day >= datetime.date(2014, 1, 1) and day <= datetime.date(
2016, 1, 29):
if _check_weekday: #true when weekend
all_prices_calendar[listing_id][day.strftime("%Y")][
day.strftime("%Y-%m-%d")] = _convert_currency(
(temp_price["default_daily"] +
temp_price["weekend_increase"]),
temp_price["currency_id"])
else:
all_prices_calendar[listing_id][day.strftime("%Y")][
day.strftime("%Y-%m-%d")] = _convert_currency(
temp_price["default_daily"], temp_price["currency_id"])
this_try = fill_nones(listing_id, entry[1])
if this_try is None:
#in the case that this is the first price and it doesn't cover up to the beginning of the trianing period
most_recent_prices[listing_id] = temp_price
fill_nones(listing_id, entry[1])
most_recent_prices[listing_id] = temp_price
def fill_training_and_testing_data(listing_id, testing_dates, training_dates = None):
global all_data
'''
if listing_ids:
training_with = listing_ids
else:
training_with = [entry[0] for entry in testing_listings]
'''
training_data = {"features": [], "classification" : []}
testing_data = {"features": [], "classification" : []}
#does listing have occupancy data to begin with
try:
occupancy_test = json_files["occupancy_dict"][str(listing_id)]
if training_dates:
#force it to take only listings that have at least started by the start date
start = training_dates["start_date"]
#dis-allowing majority of dataset
'''
if listing_important_dates[listing_id]["created_at"].date() > start:
print "not enough training data for listing: ", listing_id
#can put in training?
return None
'''
else:
start = datetime.date(2008, 01, 01)
for day in time._daterange(start, testing_dates["end_date"]):
try:
if day < testing_dates["start_date"]:
training_data["features"].append(all_data[listing_id][day]["feature_data"])
training_data["classification"].append(all_data[listing_id][day]["classification"])
else:
testing_data["features"].append(all_data[listing_id][day]["feature_data"])
testing_data["classification"].append(all_data[listing_id][day]["classification"])
testing_data["days"].append(day.strftime("%Y-%m-%d"))
#print "putting data in testing_data"
except KeyError as e: #this day didn't have data, but listing might have data
#shouldn't be an issue anymore because we deleted the day structure if it has no data in all_data
pass
except KeyError as e:
print e
print "in 122"
return None
return (training_data, testing_data)
