zulip/analytics/views.py

882 lines
25 KiB
Python

from __future__ import absolute_import
from __future__ import division
from typing import *
from django.db import connection
from django.template import RequestContext, loader
from django.utils.html import mark_safe
from django.shortcuts import render_to_response
from django.core import urlresolvers
from django.http import HttpResponseNotFound
from zerver.decorator import has_request_variables, REQ, zulip_internal
from zerver.models import get_realm, UserActivity, UserActivityInterval, Realm
from zerver.lib.timestamp import timestamp_to_datetime
from collections import defaultdict
from datetime import datetime, timedelta
import itertools
import time
import re
import pytz
from six.moves import filter
from six.moves import map
from six.moves import range
from six.moves import zip
eastern_tz = pytz.timezone('US/Eastern')
def make_table(title, cols, rows, has_row_class=False):
if not has_row_class:
def fix_row(row):
return dict(cells=row, row_class=None)
rows = list(map(fix_row, rows))
data = dict(title=title, cols=cols, rows=rows)
content = loader.render_to_string(
'analytics/ad_hoc_query.html',
dict(data=data)
)
return content
def dictfetchall(cursor):
"Returns all rows from a cursor as a dict"
desc = cursor.description
return [
dict(list(zip([col[0] for col in desc], row)))
for row in cursor.fetchall()
]
def get_realm_day_counts():
query = '''
select
r.domain,
(now()::date - pub_date::date) age,
count(*) cnt
from zerver_message m
join zerver_userprofile up on up.id = m.sender_id
join zerver_realm r on r.id = up.realm_id
join zerver_client c on c.id = m.sending_client_id
where
(not up.is_bot)
and
pub_date > now()::date - interval '8 day'
and
c.name not in ('zephyr_mirror', 'ZulipMonitoring')
group by
r.domain,
age
order by
r.domain,
age
'''
cursor = connection.cursor()
cursor.execute(query)
rows = dictfetchall(cursor)
cursor.close()
counts = defaultdict(dict) # type: Dict[str, Dict[int, int]]
for row in rows:
counts[row['domain']][row['age']] = row['cnt']
result = {}
for domain in counts:
cnts = [counts[domain].get(age, 0) for age in range(8)]
min_cnt = min(cnts)
max_cnt = max(cnts)
def format_count(cnt):
if cnt == min_cnt:
good_bad = 'bad'
elif cnt == max_cnt:
good_bad = 'good'
else:
good_bad = 'neutral'
return '<td class="number %s">%s</td>' % (good_bad, cnt)
cnts = ''.join(map(format_count, cnts))
result[domain] = dict(cnts=cnts)
return result
def realm_summary_table(realm_minutes):
query = '''
SELECT
realm.domain,
coalesce(user_counts.active_user_count, 0) active_user_count,
coalesce(at_risk_counts.at_risk_count, 0) at_risk_count,
(
SELECT
count(*)
FROM zerver_userprofile up
WHERE up.realm_id = realm.id
AND is_active
AND not is_bot
) user_profile_count,
(
SELECT
count(*)
FROM zerver_userprofile up
WHERE up.realm_id = realm.id
AND is_active
AND is_bot
) bot_count
FROM zerver_realm realm
LEFT OUTER JOIN
(
SELECT
up.realm_id realm_id,
count(distinct(ua.user_profile_id)) active_user_count
FROM zerver_useractivity ua
JOIN zerver_userprofile up
ON up.id = ua.user_profile_id
WHERE
query in (
'/json/send_message',
'send_message_backend',
'/api/v1/send_message',
'/json/update_pointer'
)
AND
last_visit > now() - interval '1 day'
AND
not is_bot
GROUP BY realm_id
) user_counts
ON user_counts.realm_id = realm.id
LEFT OUTER JOIN
(
SELECT
realm_id,
count(*) at_risk_count
FROM (
SELECT
realm.id as realm_id,
up.email
FROM zerver_useractivity ua
JOIN zerver_userprofile up
ON up.id = ua.user_profile_id
JOIN zerver_realm realm
ON realm.id = up.realm_id
WHERE up.is_active
AND (not up.is_bot)
AND
ua.query in (
'/json/send_message',
'send_message_backend',
'/api/v1/send_message',
'/json/update_pointer'
)
GROUP by realm.id, up.email
HAVING max(last_visit) between
now() - interval '7 day' and
now() - interval '1 day'
) as at_risk_users
GROUP BY realm_id
) at_risk_counts
ON at_risk_counts.realm_id = realm.id
WHERE EXISTS (
SELECT *
FROM zerver_useractivity ua
JOIN zerver_userprofile up
ON up.id = ua.user_profile_id
WHERE
query in (
'/json/send_message',
'/api/v1/send_message',
'send_message_backend',
'/json/update_pointer'
)
AND
up.realm_id = realm.id
AND
last_visit > now() - interval '2 week'
)
ORDER BY active_user_count DESC, domain ASC
'''
cursor = connection.cursor()
cursor.execute(query)
rows = dictfetchall(cursor)
cursor.close()
# get messages sent per day
counts = get_realm_day_counts()
for row in rows:
try:
row['history'] = counts[row['domain']]['cnts']
except:
row['history'] = ''
# augment data with realm_minutes
total_hours = 0
for row in rows:
domain = row['domain']
minutes = realm_minutes.get(domain, 0)
hours = minutes / 60.0
total_hours += hours
row['hours'] = str(int(hours))
try:
row['hours_per_user'] = '%.1f' % (hours / row['active_user_count'],)
except:
pass
# formatting
for row in rows:
row['domain'] = realm_activity_link(row['domain'])
# Count active sites
def meets_goal(row):
return row['active_user_count'] >= 5
num_active_sites = len(list(filter(meets_goal, rows)))
# create totals
total_active_user_count = 0
total_user_profile_count = 0
total_bot_count = 0
for row in rows:
total_active_user_count += int(row['active_user_count'])
total_user_profile_count += int(row['user_profile_count'])
total_bot_count += int(row['bot_count'])
rows.append(dict(
domain='Total',
active_user_count=total_active_user_count,
user_profile_count=total_user_profile_count,
bot_count=total_bot_count,
hours=int(total_hours)
))
content = loader.render_to_string(
'analytics/realm_summary_table.html',
dict(rows=rows, num_active_sites=num_active_sites)
)
return content
def user_activity_intervals():
day_end = timestamp_to_datetime(time.time())
day_start = day_end - timedelta(hours=24)
output = "Per-user online duration for the last 24 hours:\n"
total_duration = timedelta(0)
all_intervals = UserActivityInterval.objects.filter(
end__gte=day_start,
start__lte=day_end
).select_related(
'user_profile',
'user_profile__realm'
).only(
'start',
'end',
'user_profile__email',
'user_profile__realm__domain'
).order_by(
'user_profile__realm__domain',
'user_profile__email'
)
by_domain = lambda row: row.user_profile.realm.domain
by_email = lambda row: row.user_profile.email
realm_minutes = {}
for domain, realm_intervals in itertools.groupby(all_intervals, by_domain):
realm_duration = timedelta(0)
output += '<hr>%s\n' % (domain,)
for email, intervals in itertools.groupby(realm_intervals, by_email):
duration = timedelta(0)
for interval in intervals:
start = max(day_start, interval.start)
end = min(day_end, interval.end)
duration += end - start
total_duration += duration
realm_duration += duration
output += " %-*s%s\n" % (37, email, duration, )
realm_minutes[domain] = realm_duration.total_seconds() / 60
output += "\nTotal Duration: %s\n" % (total_duration,)
output += "\nTotal Duration in minutes: %s\n" % (total_duration.total_seconds() / 60.,)
output += "Total Duration amortized to a month: %s" % (total_duration.total_seconds() * 30. / 60.,)
content = mark_safe('<pre>' + output + '</pre>')
return content, realm_minutes
def sent_messages_report(realm):
title = 'Recently sent messages for ' + realm
cols = [
'Date',
'Humans',
'Bots'
]
query = '''
select
series.day::date,
humans.cnt,
bots.cnt
from (
select generate_series(
(now()::date - interval '2 week'),
now()::date,
interval '1 day'
) as day
) as series
left join (
select
pub_date::date pub_date,
count(*) cnt
from zerver_message m
join zerver_userprofile up on up.id = m.sender_id
join zerver_realm r on r.id = up.realm_id
where
r.domain = %s
and
(not up.is_bot)
and
pub_date > now() - interval '2 week'
group by
pub_date::date
order by
pub_date::date
) humans on
series.day = humans.pub_date
left join (
select
pub_date::date pub_date,
count(*) cnt
from zerver_message m
join zerver_userprofile up on up.id = m.sender_id
join zerver_realm r on r.id = up.realm_id
where
r.domain = %s
and
up.is_bot
and
pub_date > now() - interval '2 week'
group by
pub_date::date
order by
pub_date::date
) bots on
series.day = bots.pub_date
'''
cursor = connection.cursor()
cursor.execute(query, [realm, realm])
rows = cursor.fetchall()
cursor.close()
return make_table(title, cols, rows)
def ad_hoc_queries():
def get_page(query, cols, title):
cursor = connection.cursor()
cursor.execute(query)
rows = cursor.fetchall()
rows = list(map(list, rows))
cursor.close()
def fix_rows(i, fixup_func):
for row in rows:
row[i] = fixup_func(row[i])
for i, col in enumerate(cols):
if col == 'Domain':
fix_rows(i, realm_activity_link)
elif col in ['Last time', 'Last visit']:
fix_rows(i, format_date_for_activity_reports)
content = make_table(title, cols, rows)
return dict(
content=content,
title=title
)
pages = []
###
for mobile_type in ['Android', 'ZulipiOS']:
title = '%s usage' % (mobile_type,)
query = '''
select
realm.domain,
up.id user_id,
client.name,
sum(count) as hits,
max(last_visit) as last_time
from zerver_useractivity ua
join zerver_client client on client.id = ua.client_id
join zerver_userprofile up on up.id = ua.user_profile_id
join zerver_realm realm on realm.id = up.realm_id
where
client.name like '%s'
group by domain, up.id, client.name
having max(last_visit) > now() - interval '2 week'
order by domain, up.id, client.name
''' % (mobile_type,)
cols = [
'Domain',
'User id',
'Name',
'Hits',
'Last time'
]
pages.append(get_page(query, cols, title))
###
title = 'Desktop users'
query = '''
select
realm.domain,
client.name,
sum(count) as hits,
max(last_visit) as last_time
from zerver_useractivity ua
join zerver_client client on client.id = ua.client_id
join zerver_userprofile up on up.id = ua.user_profile_id
join zerver_realm realm on realm.id = up.realm_id
where
client.name like 'desktop%%'
group by domain, client.name
having max(last_visit) > now() - interval '2 week'
order by domain, client.name
'''
cols = [
'Domain',
'Client',
'Hits',
'Last time'
]
pages.append(get_page(query, cols, title))
###
title = 'Integrations by domain'
query = '''
select
realm.domain,
case
when query like '%%external%%' then split_part(query, '/', 5)
else client.name
end client_name,
sum(count) as hits,
max(last_visit) as last_time
from zerver_useractivity ua
join zerver_client client on client.id = ua.client_id
join zerver_userprofile up on up.id = ua.user_profile_id
join zerver_realm realm on realm.id = up.realm_id
where
(query in ('send_message_backend', '/api/v1/send_message')
and client.name not in ('Android', 'ZulipiOS')
and client.name not like 'test: Zulip%%'
)
or
query like '%%external%%'
group by domain, client_name
having max(last_visit) > now() - interval '2 week'
order by domain, client_name
'''
cols = [
'Domain',
'Client',
'Hits',
'Last time'
]
pages.append(get_page(query, cols, title))
###
title = 'Integrations by client'
query = '''
select
case
when query like '%%external%%' then split_part(query, '/', 5)
else client.name
end client_name,
realm.domain,
sum(count) as hits,
max(last_visit) as last_time
from zerver_useractivity ua
join zerver_client client on client.id = ua.client_id
join zerver_userprofile up on up.id = ua.user_profile_id
join zerver_realm realm on realm.id = up.realm_id
where
(query in ('send_message_backend', '/api/v1/send_message')
and client.name not in ('Android', 'ZulipiOS')
and client.name not like 'test: Zulip%%'
)
or
query like '%%external%%'
group by client_name, domain
having max(last_visit) > now() - interval '2 week'
order by client_name, domain
'''
cols = [
'Client',
'Domain',
'Hits',
'Last time'
]
pages.append(get_page(query, cols, title))
return pages
@zulip_internal
@has_request_variables
def get_activity(request):
duration_content, realm_minutes = user_activity_intervals()
counts_content = realm_summary_table(realm_minutes)
data = [
('Counts', counts_content),
('Durations', duration_content),
]
for page in ad_hoc_queries():
data.append((page['title'], page['content']))
title = 'Activity'
return render_to_response(
'analytics/activity.html',
dict(data=data, title=title, is_home=True),
context_instance=RequestContext(request)
)
def get_user_activity_records_for_realm(realm, is_bot):
fields = [
'user_profile__full_name',
'user_profile__email',
'query',
'client__name',
'count',
'last_visit',
]
records = UserActivity.objects.filter(
user_profile__realm__domain=realm,
user_profile__is_active=True,
user_profile__is_bot=is_bot
)
records = records.order_by("user_profile__email", "-last_visit")
records = records.select_related('user_profile', 'client').only(*fields)
return records
def get_user_activity_records_for_email(email):
fields = [
'user_profile__full_name',
'query',
'client__name',
'count',
'last_visit'
]
records = UserActivity.objects.filter(
user_profile__email=email
)
records = records.order_by("-last_visit")
records = records.select_related('user_profile', 'client').only(*fields)
return records
def raw_user_activity_table(records):
cols = [
'query',
'client',
'count',
'last_visit'
]
def row(record):
return [
record.query,
record.client.name,
record.count,
format_date_for_activity_reports(record.last_visit)
]
rows = list(map(row, records))
title = 'Raw Data'
return make_table(title, cols, rows)
def get_user_activity_summary(records):
# type: (Any) -> Any
summary = {} # type: Dict[str, Dict[str, Any]]
def update(action, record):
if action not in summary:
summary[action] = dict(
count=record.count,
last_visit=record.last_visit
)
else:
summary[action]['count'] += record.count
summary[action]['last_visit'] = max(
summary[action]['last_visit'],
record.last_visit
)
if records:
summary['name'] = records[0].user_profile.full_name
for record in records:
client = record.client.name
query = record.query
update('use', record)
if client == 'API':
m = re.match('/api/.*/external/(.*)', query)
if m:
client = m.group(1)
update(client, record)
if client.startswith('desktop'):
update('desktop', record)
if client == 'website':
update('website', record)
if ('send_message' in query) or re.search('/api/.*/external/.*', query):
update('send', record)
if query in ['/json/update_pointer', '/api/v1/update_pointer']:
update('pointer', record)
update(client, record)
return summary
def format_date_for_activity_reports(date):
if date:
return date.astimezone(eastern_tz).strftime('%Y-%m-%d %H:%M')
else:
return ''
def user_activity_link(email):
url_name = 'analytics.views.get_user_activity'
url = urlresolvers.reverse(url_name, kwargs=dict(email=email))
email_link = '<a href="%s">%s</a>' % (url, email)
return mark_safe(email_link)
def realm_activity_link(realm):
url_name = 'analytics.views.get_realm_activity'
url = urlresolvers.reverse(url_name, kwargs=dict(realm=realm))
realm_link = '<a href="%s">%s</a>' % (url, realm)
return mark_safe(realm_link)
def realm_client_table(user_summaries):
exclude_keys = [
'internal',
'name',
'use',
'send',
'pointer',
'website',
'desktop',
]
rows = []
for email, user_summary in user_summaries.items():
email_link = user_activity_link(email)
name = user_summary['name']
for k, v in user_summary.items():
if k in exclude_keys:
continue
client = k
count = v['count']
last_visit = v['last_visit']
row = [
format_date_for_activity_reports(last_visit),
client,
name,
email_link,
count,
]
rows.append(row)
rows = sorted(rows, key=lambda r: r[0], reverse=True)
cols = [
'Last visit',
'Client',
'Name',
'Email',
'Count',
]
title = 'Clients'
return make_table(title, cols, rows)
def user_activity_summary_table(user_summary):
rows = []
for k, v in user_summary.items():
if k == 'name':
continue
client = k
count = v['count']
last_visit = v['last_visit']
row = [
format_date_for_activity_reports(last_visit),
client,
count,
]
rows.append(row)
rows = sorted(rows, key=lambda r: r[0], reverse=True)
cols = [
'last_visit',
'client',
'count',
]
title = 'User Activity'
return make_table(title, cols, rows)
def realm_user_summary_table(all_records, admin_emails):
user_records = {}
def by_email(record):
return record.user_profile.email
for email, records in itertools.groupby(all_records, by_email):
user_records[email] = get_user_activity_summary(list(records))
def get_last_visit(user_summary, k):
if k in user_summary:
return user_summary[k]['last_visit']
else:
return None
def get_count(user_summary, k):
if k in user_summary:
return user_summary[k]['count']
else:
return ''
def is_recent(val):
age = datetime.now(val.tzinfo) - val
return age.total_seconds() < 5 * 60
rows = []
for email, user_summary in user_records.items():
email_link = user_activity_link(email)
sent_count = get_count(user_summary, 'send')
cells = [user_summary['name'], email_link, sent_count]
row_class = ''
for field in ['use', 'send', 'pointer', 'desktop', 'ZulipiOS', 'Android']:
val = get_last_visit(user_summary, field)
if field == 'use':
if val and is_recent(val):
row_class += ' recently_active'
if email in admin_emails:
row_class += ' admin'
val = format_date_for_activity_reports(val)
cells.append(val)
row = dict(cells=cells, row_class=row_class)
rows.append(row)
def by_used_time(row):
return row['cells'][3]
rows = sorted(rows, key=by_used_time, reverse=True)
cols = [
'Name',
'Email',
'Total sent',
'Heard from',
'Message sent',
'Pointer motion',
'Desktop',
'ZulipiOS',
'Android'
]
title = 'Summary'
content = make_table(title, cols, rows, has_row_class=True)
return user_records, content
@zulip_internal
def get_realm_activity(request, realm):
# type: (Any, Any) -> Any
data = [] # type: List[Tuple[str, str]]
all_user_records = {} # type: Dict[str, Any]
try:
admins = get_realm(realm).get_admin_users()
except Realm.DoesNotExist:
return HttpResponseNotFound("Realm %s does not exist" % (realm,))
admin_emails = {admin.email for admin in admins}
for is_bot, page_title in [(False, 'Humans'), (True, 'Bots')]:
all_records = list(get_user_activity_records_for_realm(realm, is_bot))
user_records, content = realm_user_summary_table(all_records, admin_emails)
all_user_records.update(user_records)
data += [(page_title, content)]
page_title = 'Clients'
content = realm_client_table(all_user_records)
data += [(page_title, content)]
page_title = 'History'
content = sent_messages_report(realm)
data += [(page_title, content)]
fix_name = lambda realm: realm.replace('.', '_')
realm_link = 'https://stats1.zulip.net:444/render/?from=-7days'
realm_link += '&target=stats.gauges.staging.users.active.%s.0_16hr' % (fix_name(realm),)
title = realm
return render_to_response(
'analytics/activity.html',
dict(data=data, realm_link=realm_link, title=title),
context_instance=RequestContext(request)
)
@zulip_internal
def get_user_activity(request, email):
records = get_user_activity_records_for_email(email)
data = [] # type: List[Tuple[str, str]]
user_summary = get_user_activity_summary(records)
content = user_activity_summary_table(user_summary)
data += [('Summary', content)]
content = raw_user_activity_table(records)
data += [('Info', content)]
title = email
return render_to_response(
'analytics/activity.html',
dict(data=data, title=title),
context_instance=RequestContext(request)
)