def filter_sessions(state, mac_to_name, macs, allsessions=True, no_headers=False):
"""
Show (all|latest) sessions for the clients in macs[]
"""
data = []
for mac in state['macs']:
if mac in macs:
try:
name = mac_to_name[mac]
except KeyError:
name = '-' # (unknown)
if allsessions:
for info in state['macs'][mac]:
if info['session_end'] == None:
info['session_end'] = ''
data.append([mac, info['ip'], name, info['session_start'], info['session_end']])
else:
info = state['macs'][mac][-1]
if info['session_end'] == None:
info['session_end'] = ''
data.append([mac, info['ip'], name, info['session_start'], info['session_end']])
if no_headers:
return printutil.to_smart_columns(data)
else:
headers = ['MAC', 'IP', 'name', 'session start', 'session end']
return printutil.to_smart_columns(data, headers)
def current_sessions(macfile):
"""
Show currently open sessions
"""
state, mac_to_name = read_state(macfile)
data = []
for mac in state['macs']:
try:
name = mac_to_name[mac]
except KeyError:
name = '-' # (unknown)
info = state['macs'][mac][-1]
if info['session_end'] == None:
data.append([mac, info['ip'], name, info['session_start']])
headers = ['MAC', 'IP', 'name', 'session start']
print(printutil.to_smart_columns(data, headers))
def showstats():
"""
Show statistics about the collection
"""
# Size of progress-bar
COLUMNS = 40
result = []
session = get_db_connection()
#session.query(Article).
#items = session.query(extract('year', Article.time_read).label('year')).distinct().subquery()
#items = session.query(extract('year', Article.time_read).label('year'), func.count(Article.id)).distinct().order_by('year')
# Numbers
items_total = nr_total(session)
items_read = nr_read(session)
items_unread = nr_unread(session)
items_favourited = nr_favourited(session)
items_deleted = nr_deleted(session)
result.append(['Total items', str(items_total)])
result.append(['Total read', str(items_read)])
result.append(['Total unread', str(items_unread)])
result.append(['Total favourited', str(items_favourited)])
result.append(['Total deleted', str(items_deleted)])
result.append([])
# Progress bar
result.append(['progress', printutil.progress_bar(items_total, items_read, COLUMNS, '.', '#', True)])
result.append(['favourites', printutil.progress_bar(items_total, items_favourited, COLUMNS, ' ', '*')])
result.append([])
# Read articles per yer
result.append(['year', 'amount of articles read'])
items = session.query(extract('year', Article.time_read).label('year'), func.count(Article.id)).group_by('year')
for item in items:
if item[0] is None:
result.append(['unknown', str(item[1])])
elif item[0] == 1970:
result.append(['unread', str(item[1])])
else:
result.append([str(item[0]), str(item[1])])
result.append([])
print(printutil.to_smart_columns(result))
# List of number of items read, per date
items_read = session.query(func.date(Article.time_read).label('thedate'), func.count(Article.id)).group_by('thedate')
# firstseen_time_updated comes as close to 'time added' as we can get from the Pocket API
items_added = session.query(func.date(Article.firstseen_time_updated).label('thedate'), func.count(Article.id)).group_by('thedate')
#for item in items_added:
# print item
# TODO: plot added-vs-read graph
items_added_per_month = session.query(extract('year', Article.firstseen_time_updated).label('year'), extract('month', Article.firstseen_time_updated).label('month'), func.count(Article.id)).group_by('year', 'month')
items_read_per_month = session.query(extract('year', Article.time_read).label('year'), extract('month', Article.time_read).label('month'), func.count(Article.id)).group_by('year', 'month')
read_vs_added = printutil.x_vs_y(items_read_per_month, items_added_per_month, filter_none=True)
#for item in read_vs_added:
# result.append(item)
print(read_vs_added)
# Tags
# TODO: loop over Articles, get amount of articles/tag
# Finally, print the stats
#print(printutil.to_smart_columns(result))
return
items = session.query(extract('year', Article.time_read).label('year')).distinct()
for item in items:
print(item)
per_date = session.query(func.count(Article.id), extract('date', Article.time_read).label('h')).group_by('h')
for item in per_date:
print(item)
per_hour = session.query(extract('hour', Article.time_read).label('h')).group_by('h')
for item in per_hour:
print(item)
def showstats():
"""
Show statistics about the collection
"""
# Size of progress-bar
COLUMNS = 40
result = []
session = get_db_connection()
#session.query(Article).
#items = session.query(extract('year', Article.time_read).label('year')).distinct().subquery()
#items = session.query(extract('year', Article.time_read).label('year'), func.count(Article.id)).distinct().order_by('year')
# Numbers
items_total = nr_total(session)
items_read = nr_read(session)
items_unread = nr_unread(session)
items_favourited = nr_favourited(session)
items_deleted = nr_deleted(session)
result.append(['Total items', str(items_total)])
result.append(['Total read', str(items_read)])
result.append(['Total unread', str(items_unread)])
result.append(['Total favourited', str(items_favourited)])
result.append(['Total deleted', str(items_deleted)])
result.append([])
# Progress bar
result.append(['progress', printutil.progress_bar(items_total, items_read, COLUMNS, '.', '#', True)])
result.append(['favourites', printutil.progress_bar(items_total, items_favourited, COLUMNS, ' ', '*')])
result.append([])
# Read articles per yer
result.append(['year', 'amount of articles read'])
items = session.query(extract('year', Article.time_read).label('year'), func.count(Article.id)).group_by('year')
for item in items:
if item[0] is None:
result.append(['unknown', str(item[1])])
elif item[0] == 1970:
result.append(['unread', str(item[1])])
else:
result.append([str(item[0]), str(item[1])])
result.append([])
print(printutil.to_smart_columns(result))
# List of number of items read, per date
items_read = session.query(func.date(Article.time_read).label('thedate'), func.count(Article.id)).group_by('thedate')
# firstseen_time_updated comes as close to 'time added' as we can get from the Pocket API
items_added = session.query(func.date(Article.firstseen_time_updated).label('thedate'), func.count(Article.id)).group_by('thedate')
#for item in items_added:
# print item
# TODO: plot added-vs-read graph
items_added_per_month = session.query(extract('year', Article.firstseen_time_updated).label('year'), extract('month', Article.firstseen_time_updated).label('month'), func.count(Article.id)).group_by('year', 'month')
items_read_per_month = session.query(extract('year', Article.time_read).label('year'), extract('month', Article.time_read).label('month'), func.count(Article.id)).group_by('year', 'month')
read_vs_added = printutil.x_vs_y(items_read_per_month, items_added_per_month, filter_none=True)
#for item in read_vs_added:
# result.append(item)
print read_vs_added
# Tags
# TODO: loop over Articles, get amount of articles/tag
# Finally, print the stats
#print(printutil.to_smart_columns(result))
return
items = session.query(extract('year', Article.time_read).label('year')).distinct()
for item in items:
print item
per_date = session.query(func.count(Article.id), extract('date', Article.time_read).label('h')).group_by('h')
for item in per_date:
print item
per_hour = session.query(extract('hour', Article.time_read).label('h')).group_by('h')
for item in per_hour:
print item
