def general(request):
params = {
'multichart': True,
'columns': GENERAL_COLUMNS,
'title': 'General Data'
}
if 'date_from' in request.GET:
date_from = datetime.datetime(
*time.strptime(request.GET['date_from'], '%m/%d/%Y')[:6])
else:
date_from = datetime.datetime.now() - datetime.timedelta(days=7)
if 'date_to' in request.GET:
date_to = datetime.datetime(
*time.strptime(request.GET['date_to'], '%m/%d/%Y')[:6])
else:
date_to = datetime.datetime.now()
params['date_from'] = date_from.strftime('%m/%d/%Y')
params['date_to'] = date_to.strftime('%m/%d/%Y')
data = data_formater(
query_to_dicts(
'''
select reward, hits, projects as "count", spam_projects, start_time
from main_crawlagregates
where start_time >= %s and start_time <= %s
order by start_time asc
''', date_from, date_to))
def _is_anomaly(a, others):
mid = sum(map(lambda e: int(e['row'][0]), others)) / len(others)
return abs(mid - int(a['row'][0])) > 7000
def _fixer(a, others):
val = sum(map(lambda e: int(e['row'][0]), others)) / len(others)
a['row'] = (str(val), a['row'][1], a['row'][2], a['row'][3])
return a
if settings.DATASMOOTHING:
params['data'] = plot.repair(list(data), _is_anomaly, _fixer, 2)
else:
params['data'] = list(data)
return direct_to_template(request, 'main/graphs/timeline.html', params)
def general(request):
params = {
'multichart': True,
'columns': GENERAL_COLUMNS,
'title': 'General Data'
}
if 'date_from' in request.GET:
date_from = datetime.datetime(
*time.strptime(request.GET['date_from'], '%m/%d/%Y')[:6])
else:
date_from = datetime.datetime.now() - datetime.timedelta(days=7)
if 'date_to' in request.GET:
date_to = datetime.datetime(
*time.strptime(request.GET['date_to'], '%m/%d/%Y')[:6])
else:
date_to = datetime.datetime.now()
params['date_from'] = date_from.strftime('%m/%d/%Y')
params['date_to'] = date_to.strftime('%m/%d/%Y')
data = data_formater(query_to_dicts('''
select reward, hits, projects as "count", spam_projects, start_time
from main_crawlagregates
where start_time >= %s and start_time <= %s
order by start_time asc
''', date_from, date_to))
def _is_anomaly(a, others):
mid = sum(map(lambda e: int(e['row'][0]), others)) / len(others)
return abs(mid - int(a['row'][0])) > 7000
def _fixer(a, others):
val = sum(map(lambda e: int(e['row'][0]), others)) / len(others)
a['row'] = (str(val), a['row'][1], a['row'][2], a['row'][3])
return a
if settings.DATASMOOTHING:
params['data'] = plot.repair(list(data), _is_anomaly, _fixer, 2)
else:
params['data'] = list(data)
return direct_to_template(request, 'main/graphs/timeline.html', params)
def general(request, tab_slug=None):
tab = GeneralTabEnum.value_for_slug.get(tab_slug, GeneralTabEnum.ALL)
ctx = {
'multichart': tab == GeneralTabEnum.ALL,
'columns': GeneralTabEnum.get_graph_columns(tab),
'title': GeneralTabEnum.get_tab_title(tab),
'current_tab': GeneralTabEnum.enum_dict[tab],
'top_tabs': GeneralTabEnum.enum_dict.values(),
}
date_from, date_to = get_time_interval(request.GET, ctx, days_ago=7)
data = data_formater(query_to_dicts('''
SELECT reward, hits, projects as "count", spam_projects, start_time
FROM main_crawlagregates
WHERE start_time >= %s AND start_time <= %s
ORDER BY start_time ASC
''', date_from, date_to))
def _is_anomaly(a, others):
mid = sum(map(lambda e: int(e['row'][0]), others)) / len(others)
return abs(mid - int(a['row'][0])) > 7000
def _fixer(a, others):
val = sum(map(lambda e: int(e['row'][0]), others)) / len(others)
a['row'] = (str(val), a['row'][1], a['row'][2], a['row'][3])
return a
if settings.DATASMOOTHING:
ctx['data'] = plot.repair(list(data), _is_anomaly, _fixer, 2)
else:
ctx['data'] = list(data)
ctx['data'] = GeneralTabEnum.data_set_processor[tab](ctx['data'])
return direct_to_template(request, 'main/graphs/timeline.html', ctx)
