def main3():
all_tags = defaultdict(list)
with dbapi.session:
for prod_id, tag in dbapi.db_session.query(NItemGroup.prod_id, NProdTagContent.tag).filter(
NItemGroup.uid == NProdTagContent.itemgroup_id):
all_tags[prod_id.upper()].append(tag)
values_by_tag = defaultdict(Decimal)
with open('all.report') as f:
report = SaleReport.deserialize(json.loads(f.read()))
total = sum(map(Decimal, report.mayor.values())) + sum(map(Decimal, report.menor.values()))
for prod, other in report.best_sellers:
if prod not in all_tags or all_tags[prod] == ['hot_items']:
values_by_tag['no_tag'] += Decimal(other['value'])
for tag in all_tags[prod]:
values_by_tag[tag] += Decimal(other['value'])
for x, y in values_by_tag.items():
print x, y, y/total
def main2():
start = datetime.date(2015, 8, 1)
end = datetime.date(2016, 5, 1)
top_100 = {}
while start < end:
print start.isoformat()
with open('reports/{}-report.json'.format(start.isoformat())) as f:
report = SaleReport.deserialize(json.loads(f.read()))
top = sorted(report.best_sellers, key=lambda i: Decimal(i[1]['value']))[-10:]
top_100[start.isoformat()] = set(x[0].upper() for x in top)
start = incr_month(start)
prev = None
for x, y in sorted(top_100.items()):
y = set(y)
if prev is None:
prev = y
print x, len(prev)
prev = prev | y
print prev
