def hello():
provider = str(os.environ.get('PROVIDER', 'world'))
site = os.environ.get('SITE', 'T2_UK_SGrid_Bristol')
datasets = getSubscriptions(site, test=False)
template = '{:<50} {:<10} {:<10}'
lines = [template.format('Name', 'group', 'request')]
for dataset in datasets:
name = dataset['name']
group = dataset['group']
request = dataset['requested_by_name']
line = template.format(name, group, request)
lines.append(line)
body = '<br>'.join(lines)
return body
def hello():
provider = str(os.environ.get('PROVIDER', 'world'))
site = os.environ.get('SITE', 'T2_UK_SGrid_Bristol')
datasets = getSubscriptions(site, test=False)
template = '{:<50} {:<10} {:<10}'
lines = [template.format('Name', 'group', 'request')]
for dataset in datasets:
name = dataset['name']
group = dataset['group']
request = dataset['requested_by_name']
line = template.format(name, group, request)
lines.append(line)
body = '<br>'.join(lines)
return body
def test():
provider = str(os.environ.get('PROVIDER', 'world'))
site = os.environ.get('SITE', 'T2_UK_SGrid_Bristol')
datasets = getSubscriptions(site, test=True)
template = '{:<50} {:<10} {:<10}'
lines = [template.format('Name', 'group', 'request')]
grouped_by_user = datasets.groupby(['requested_by_name'])['bytes_raw'].sum()
#print datasets.groupby('requested_by_name').groups
#print grouped.sum()
for g in grouped_by_user:
print 'Total', g
import pandas as pd
#test = pd.DataFrame({'usage': datasets.groupby(['requested_by_name'])['bytes_raw'].sum()}).reset_index()
#print test
test = pd.DataFrame(
{
'usage': datasets.groupby(['requested_by_name'])['bytes_raw'].sum()
}).reset_index()
#test['group'] = datasets[test['requested_by_name']]
from units import fmtscaled
from functools import partial
scaleUnits = partial(fmtscaled, unit="B")
#test['usage'] = test['usage'].apply(scaleUnits)
#print test
# for dataset in datasets:
# print dataset.values, dataset
# name = dataset['name']
# group = dataset['group']
# request = dataset['requested_by_name']
# line = template.format(name, group, request)
# lines.append(line)
# break
body = '<br>'.join(lines)
#body += '<br> RAW: <br>' + test.to_html()
return plot(body, test)
def test():
pd.set_option('display.max_colwidth', -1)
provider = str(os.environ.get('PROVIDER', 'world'))
site = os.environ.get('SITE', 'T2_UK_SGrid_Bristol')
datasets = getSubscriptions(site, test=True)
template = '{:<50} {:<10} {:<10}'
lines = [template.format('Name', 'group', 'request')]
datasets = datasets[datasets['group'] == 'local']
grouped_by_user = datasets.groupby(['requested_by_name'])
datasets_by_user = datasets[['requested_by_name', 'name', 'bytes'
]].groupby(datasets['requested_by_name'])
test = pd.DataFrame({
'usage': grouped_by_user['bytes_raw'].sum(),
}).sort_values('usage', ascending=False).reset_index()
users = datasets['requested_by_name'].unique()
datasets_by_user_str = ''
for user in users:
data = datasets[datasets['requested_by_name'] == user].sort_values(
'bytes_raw', ascending=False).reset_index()
datasets_by_user_str += '<h1>{0}</h1><br >'.format(user)
datasets_by_user_str += data[['name', 'bytes']].to_html()
datasets_by_user_str += '<br />'
from units import fmtscaled
from functools import partial
scaleUnits = partial(fmtscaled, unit="B")
test['usage_scaled'] = test['usage'].apply(scaleUnits)
body = '<br>'.join(lines)
body += '<br> RAW: <br>' + test[['requested_by_name', 'usage_scaled'
]].to_html()
body += datasets_by_user_str
body += '<br \>' + plot_bar(test)
return plot(body, test)