def get(self):
now = datetime.now()
delta = timedelta(days=7)
then = now - delta
ndb.delete_multi(
Data.query(Data.time < then).fetch(keys_only=True)
)
refresh()
return {}
def refresh():
then = datetime.now() - timedelta(days=3)
ret = []
for d in Data.query(Data.time > then):
ret.append([d.time_str, d.value, d.temperature])
ret = remove_duplicates(ret)
ret = sorted(ret, key = lambda v: v[0], reverse=True)
memcache.set(key="timeseries", value=json.dumps(ret))
return ret
def makedata():
ndb.delete_multi(
Data.query().fetch(keys_only=True)
)
now = datetime.now()
for i in xrange(24*4):
t = now - timedelta(seconds=i*15*60)
v = 149 - random.randint(0,50)
temp = random.randint(-10, 20)
# GAE barfs if tzinfo defined
Data(time=t.replace(tzinfo=None), value=v, temperature = temp,
time_str=t.strftime("%Y-%m-%dT%H:%M:%SZ")
).put()
def delete_year_zip(year, zip):
logging.debug('deleting year zip')
data_keys = Data.query().filter(Data.year == year).filter(Data.zip == zip).fetch(keys_only=True)
logging.debug('delting {}'.format(len(data_keys)))
ndb.delete_multi(data_keys)
def get_year_zip(year, zip):
logging.info("Getting all comments!")
datas = Data.query().filter(Data.year == year).filter(Data.zip == zip).fetch()
to_return = [data.to_json for data in datas]
response.content_type = 'application/json'
return json.dumps(to_return)
