from models import Ad
from utils import recursive_round, render_template, time_range_len
logging.basicConfig(
format="[%(asctime)s] %(levelname)s: %(message)s",
level=logging.INFO,
datefmt="%Y-%m-%d %H:%M:%S",
)
SEPT_1 = date(year=2020, month=9, day=1)
NUMBER_OF_DATES = time_range_len(SEPT_1, date.today())
if __name__ == "__main__":
ads_per_party = {
p: Ad.ads_in_time_range(first_date=SEPT_1).where(Ad.party == p)
for p in PARTIES
}
for party in PARTIES:
logging.info(
f"Processing {len(ads_per_party[party])} ads for {party}.")
party_data = {
"total-ads":
len(ads_per_party[party]),
"spending-total-lower":
sum(ad.spending_lower for ad in ads_per_party[party]),
"spending-total-upper":
sum(ad.spending_upper for ad in ads_per_party[party]),
}
from constants import DATA_TYPES, PARTIES
from models import Ad
from utils import recursive_round, render_template, time_range_len
logging.basicConfig(
format="[%(asctime)s] %(levelname)s: %(message)s",
level=logging.INFO,
datefmt="%Y-%m-%d %H:%M:%S",
)
SEPT_1 = date(year=2020, month=9, day=1)
NUMBER_OF_DATES = time_range_len(SEPT_1, date.today())
if __name__ == "__main__":
ads = list(Ad.ads_in_time_range(first_date=SEPT_1))
ads_per_party = {p: [ad for ad in ads if ad.party == p] for p in PARTIES}
most_expensive_ad = max(ads, key=lambda e: e.average_spending_per_day)
logging.info("Creating general data.")
general_data = {
"number-of-ads-total":
len(ads),
"number-of-ads-party": [len(ads_per_party[p]) for p in PARTIES],
"spending-total-lower":
sum(ad.spending_lower for ad in ads),
"spending-total-upper":
sum(ad.spending_upper for ad in ads),
"spending-party":
