def update_from_tepco():
lastmod = Config.get_by_key_name('last-modified')
lastmod = lastmod and lastmod.value
data = tepco.from_web(lastmod)
if not data:
return ''
Config(key_name='last-modified', value=data['lastmodstr']).put()
usage_updated = data['usage-updated']
capacity = data['capacity']
capacity_updated = data['capacity-updated']
year = data['year']
month = data['month']
day = data['day']
for hour, (usage, saving) in data['usage'].iteritems():
entryfor = utc_from_jst(datetime.datetime(year, month, day, hour))
entry = Usage.all().filter('entryfor =', entryfor).get()
if not entry:
Usage(
entryfor=entryfor,
year=year,
month=month,
day=day,
hour=hour,
usage=usage,
saving=saving,
usage_updated=usage_updated,
capacity=capacity,
capacity_updated=capacity_updated,
).put()
return ''
def update_from_tepco():
lastmod = Config.get_by_key_name('last-modified')
lastmod = lastmod and lastmod.value
data = tepco.from_web(lastmod)
if not data:
return '' # not yet updated
Config(
key_name='last-modified',
value=data['lastmodstr']
).put()
if data.has_key('quick'):
Config(
key_name='quick.txt',
value=data['quick']
).put()
# the image is updated hourly just after the hour.
jst = jst_from_utc(data['usage-updated']) - datetime.timedelta(hours=1)
jst = jst.replace(minute=0, second=0, microsecond=0)
for hour, (usage, saving, forecast) in data['usage'].iteritems():
entryfor = utc_from_jst(jst.replace(hour=hour))
entry = Usage.all().filter('entryfor =', entryfor).get()
if entry:
entry.saving = saving
entry.forecast = forecast
if entry.usage != usage:
entry.usage = usage
entry.usage_updated = data['usage-updated']
if entry.capacity != data['capacity']:
entry.capacity = data['capacity']
entry.capacity_updated = data['capacity-updated']
else:
entry = Usage(
entryfor=entryfor,
year=entryfor.year,
month=jst.month,
day=jst.day,
hour=hour,
saving=saving,
forecast=forecast,
usage=usage,
usage_updated=data['usage-updated'],
capacity=data['capacity'],
capacity_updated=data['capacity-updated']
)
entry.capacity_peak_period = data['capacity-peak-period']
entry.forecast_peak_usage = data['forecast-peak-usage']
entry.forecast_peak_period = data['forecast-peak-period']
entry.forecast_peak_updated = data['forecast-peak-updated']
entry.put()
memcache.flush_all()
return ''
def update_from_tepco():
lastmod = Config.get_by_key_name('last-modified')
lastmod = lastmod and lastmod.value
data = tepco.from_web(lastmod)
if not data:
return '' # not yet updated
Config(key_name='last-modified', value=data['lastmodstr']).put()
if data.has_key('quick'):
Config(key_name='quick.txt', value=data['quick']).put()
# the image is updated hourly just after the hour.
jst = jst_from_utc(data['usage-updated']) - datetime.timedelta(hours=1)
jst = jst.replace(minute=0, second=0, microsecond=0)
for hour, (usage, saving, forecast) in data['usage'].iteritems():
entryfor = utc_from_jst(jst.replace(hour=hour))
entry = Usage.all().filter('entryfor =', entryfor).get()
if entry:
entry.saving = saving
entry.forecast = forecast
if entry.usage != usage:
entry.usage = usage
entry.usage_updated = data['usage-updated']
if entry.capacity != data['capacity']:
entry.capacity = data['capacity']
entry.capacity_updated = data['capacity-updated']
else:
entry = Usage(entryfor=entryfor,
year=entryfor.year,
month=jst.month,
day=jst.day,
hour=hour,
saving=saving,
forecast=forecast,
usage=usage,
usage_updated=data['usage-updated'],
capacity=data['capacity'],
capacity_updated=data['capacity-updated'])
entry.capacity_peak_period = data['capacity-peak-period']
entry.forecast_peak_usage = data['forecast-peak-usage']
entry.forecast_peak_period = data['forecast-peak-period']
entry.forecast_peak_updated = data['forecast-peak-updated']
entry.put()
memcache.flush_all()
return ''
def update_from_tepco():
lastmod = Config.get_by_key_name('last-modified')
lastmod = lastmod and lastmod.value
data = tepco.from_web(lastmod)
if not data:
return '' # not yet updated
Config(
key_name='last-modified',
value=data['lastmodstr']
).put()
usage_updated = data['usage-updated']
capacity = data['capacity']
capacity_updated = data['capacity-updated']
capacity_peak_period = data['capacity-peak-period']
# the image is updated hourly just after the hour.
jst = jst_from_utc(usage_updated) - datetime.timedelta(hours=1)
jst = jst.replace(minute=0, second=0, microsecond=0)
for hour, (usage, saving) in data['usage'].iteritems():
entryfor = utc_from_jst(jst.replace(hour=hour))
entry = Usage.all().filter('entryfor =', entryfor).get()
if entry:
if entry.usage != usage:
entry.usage = usage
entry.usage_updated = usage_updated
entry.saving = saving
else:
entry = Usage(
entryfor=entryfor,
year=entryfor.year,
month=jst.month,
day=jst.day,
hour=hour,
usage=usage,
saving=saving,
usage_updated=usage_updated,
capacity=capacity,
capacity_updated=capacity_updated,
capacity_peak_period=capacity_peak_period,
)
entry.put()
memcache.delete('latest.json')
return ''
def update_from_tepco():
lastmod = Config.get_by_key_name('last-modified')
lastmod = lastmod and lastmod.value
data = tepco.from_web(lastmod)
if not data:
return ''
Config(
key_name='last-modified',
value=data['lastmodstr']
).put()
usage_updated = data['usage-updated']
capacity = data['capacity']
capacity_updated = data['capacity-updated']
year = data['year']
month = data['month']
day = data['day']
for hour, (usage, saving) in data['usage'].iteritems():
entryfor = utc_from_jst(datetime.datetime(year, month, day, hour))
entry = Usage.all().filter('entryfor =', entryfor).get()
if not entry:
Usage(
entryfor=entryfor,
year=year,
month=month,
day=day,
hour=hour,
usage=usage,
saving=saving,
usage_updated=usage_updated,
capacity=capacity,
capacity_updated=capacity_updated,
).put()
return ''