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zulip/analytics/views.py

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import itertools
import logging
import re
import time
from collections import defaultdict
from datetime import datetime, timedelta
from typing import Any, Callable, Dict, List, \
Optional, Set, Tuple, Type, Union, cast
import pytz
from django.conf import settings
from django.urls import reverse
from django.db import connection
from django.db.models.query import QuerySet
from django.http import HttpRequest, HttpResponse, HttpResponseNotFound
from django.shortcuts import render
from django.template import loader
from django.utils.timezone import now as timezone_now, utc as timezone_utc
from django.utils.translation import ugettext as _
from jinja2 import Markup as mark_safe
from analytics.lib.counts import COUNT_STATS, CountStat
from analytics.lib.time_utils import time_range
from analytics.models import BaseCount, InstallationCount, \
RealmCount, StreamCount, UserCount, last_successful_fill, installation_epoch
from zerver.decorator import require_server_admin, require_server_admin_api, \
to_non_negative_int, to_utc_datetime, zulip_login_required, require_non_guest_user
from zerver.lib.exceptions import JsonableError
from zerver.lib.json_encoder_for_html import JSONEncoderForHTML
from zerver.lib.request import REQ, has_request_variables
from zerver.lib.response import json_success
from zerver.lib.timestamp import convert_to_UTC, timestamp_to_datetime
from zerver.models import Client, get_realm, Realm, \
UserActivity, UserActivityInterval, UserProfile
if settings.ZILENCER_ENABLED:
from zilencer.models import RemoteInstallationCount, RemoteRealmCount, \
RemoteZulipServer
else:
from mock import Mock
RemoteInstallationCount = Mock() # type: ignore # https://github.com/JukkaL/mypy/issues/1188
RemoteZulipServer = Mock() # type: ignore # https://github.com/JukkaL/mypy/issues/1188
RemoteRealmCount = Mock() # type: ignore # https://github.com/JukkaL/mypy/issues/1188
def render_stats(request: HttpRequest, data_url_suffix: str, target_name: str,
for_installation: bool=False, remote: bool=False) -> HttpRequest:
page_params = dict(
data_url_suffix=data_url_suffix,
for_installation=for_installation,
remote=remote,
debug_mode=False,
)
return render(request,
'analytics/stats.html',
context=dict(target_name=target_name,
page_params=JSONEncoderForHTML().encode(page_params)))
@zulip_login_required
def stats(request: HttpRequest) -> HttpResponse:
realm = request.user.realm
if request.user.is_guest:
# TODO: Make @zulip_login_required pass the UserProfile so we
# can use @require_non_guest_human_user
raise JsonableError(_("Not allowed for guest users"))
return render_stats(request, '', realm.name or realm.string_id)
@require_server_admin
@has_request_variables
def stats_for_realm(request: HttpRequest, realm_str: str) -> HttpResponse:
realm = get_realm(realm_str)
if realm is None:
return HttpResponseNotFound("Realm %s does not exist" % (realm_str,))
return render_stats(request, '/realm/%s' % (realm_str,), realm.name or realm.string_id)
@require_server_admin
@has_request_variables
def stats_for_remote_realm(request: HttpRequest, remote_server_id: str,
remote_realm_id: str) -> HttpResponse:
server = RemoteZulipServer.objects.get(id=remote_server_id)
return render_stats(request, '/remote/%s/realm/%s' % (server.id, remote_realm_id),
"Realm %s on server %s" % (remote_realm_id, server.hostname))
@require_server_admin_api
@has_request_variables
def get_chart_data_for_realm(request: HttpRequest, user_profile: UserProfile,
realm_str: str, **kwargs: Any) -> HttpResponse:
realm = get_realm(realm_str)
if realm is None:
raise JsonableError(_("Invalid organization"))
return get_chart_data(request=request, user_profile=user_profile, realm=realm, **kwargs)
@require_server_admin_api
@has_request_variables
def get_chart_data_for_remote_realm(
request: HttpRequest, user_profile: UserProfile, remote_server_id: str,
remote_realm_id: str, **kwargs: Any) -> HttpResponse:
server = RemoteZulipServer.objects.get(id=remote_server_id)
return get_chart_data(request=request, user_profile=user_profile, server=server,
remote=True, remote_realm_id=int(remote_realm_id), **kwargs)
@require_server_admin
def stats_for_installation(request: HttpRequest) -> HttpResponse:
return render_stats(request, '/installation', 'Installation', True)
@require_server_admin
def stats_for_remote_installation(request: HttpRequest, remote_server_id: str) -> HttpResponse:
server = RemoteZulipServer.objects.get(id=remote_server_id)
return render_stats(request, '/remote/%s/installation' % (server.id,),
'remote Installation %s' % (server.hostname), True, True)
@require_server_admin_api
@has_request_variables
def get_chart_data_for_installation(request: HttpRequest, user_profile: UserProfile,
chart_name: str=REQ(), **kwargs: Any) -> HttpResponse:
return get_chart_data(request=request, user_profile=user_profile, for_installation=True, **kwargs)
@require_server_admin_api
@has_request_variables
def get_chart_data_for_remote_installation(
request: HttpRequest,
user_profile: UserProfile,
remote_server_id: str,
chart_name: str=REQ(),
**kwargs: Any) -> HttpResponse:
server = RemoteZulipServer.objects.get(id=remote_server_id)
return get_chart_data(request=request, user_profile=user_profile, for_installation=True,
remote=True, server=server, **kwargs)
@require_non_guest_user
@has_request_variables
def get_chart_data(request: HttpRequest, user_profile: UserProfile, chart_name: str=REQ(),
min_length: Optional[int]=REQ(converter=to_non_negative_int, default=None),
start: Optional[datetime]=REQ(converter=to_utc_datetime, default=None),
end: Optional[datetime]=REQ(converter=to_utc_datetime, default=None),
realm: Optional[Realm]=None, for_installation: bool=False,
remote: bool=False, remote_realm_id: Optional[int]=None,
server: Optional[RemoteZulipServer]=None) -> HttpResponse:
if for_installation:
if remote:
aggregate_table = RemoteInstallationCount
assert server is not None
else:
aggregate_table = InstallationCount
else:
if remote:
aggregate_table = RemoteRealmCount
assert server is not None
assert remote_realm_id is not None
else:
aggregate_table = RealmCount
if chart_name == 'number_of_humans':
stats = [
COUNT_STATS['1day_actives::day'],
COUNT_STATS['realm_active_humans::day'],
COUNT_STATS['active_users_audit:is_bot:day']]
tables = [aggregate_table]
subgroup_to_label = {
stats[0]: {None: '_1day'},
stats[1]: {None: '_15day'},
stats[2]: {'false': 'all_time'}} # type: Dict[CountStat, Dict[Optional[str], str]]
labels_sort_function = None
include_empty_subgroups = True
elif chart_name == 'messages_sent_over_time':
stats = [COUNT_STATS['messages_sent:is_bot:hour']]
tables = [aggregate_table, UserCount]
subgroup_to_label = {stats[0]: {'false': 'human', 'true': 'bot'}}
labels_sort_function = None
include_empty_subgroups = True
elif chart_name == 'messages_sent_by_message_type':
stats = [COUNT_STATS['messages_sent:message_type:day']]
tables = [aggregate_table, UserCount]
subgroup_to_label = {stats[0]: {'public_stream': _('Public streams'),
'private_stream': _('Private streams'),
'private_message': _('Private messages'),
'huddle_message': _('Group private messages')}}
labels_sort_function = lambda data: sort_by_totals(data['everyone'])
include_empty_subgroups = True
elif chart_name == 'messages_sent_by_client':
stats = [COUNT_STATS['messages_sent:client:day']]
tables = [aggregate_table, UserCount]
# Note that the labels are further re-written by client_label_map
subgroup_to_label = {stats[0]:
{str(id): name for id, name in Client.objects.values_list('id', 'name')}}
labels_sort_function = sort_client_labels
include_empty_subgroups = False
else:
raise JsonableError(_("Unknown chart name: %s") % (chart_name,))
# Most likely someone using our API endpoint. The /stats page does not
# pass a start or end in its requests.
if start is not None:
start = convert_to_UTC(start)
if end is not None:
end = convert_to_UTC(end)
if start is not None and end is not None and start > end:
raise JsonableError(_("Start time is later than end time. Start: %(start)s, End: %(end)s") %
{'start': start, 'end': end})
if realm is None:
# Note that this value is invalid for Remote tables; be
# careful not to access it in those code paths.
realm = user_profile.realm
if remote:
# For remote servers, we don't have fillstate data, and thus
# should simply use the first and last data points for the
# table.
assert server is not None
if not aggregate_table.objects.filter(server=server).exists():
raise JsonableError(_("No analytics data available. Please contact your server administrator."))
if start is None:
start = aggregate_table.objects.filter(server=server).first().end_time
if end is None:
end = aggregate_table.objects.filter(server=server).last().end_time
else:
# Otherwise, we can use tables on the current server to
# determine a nice range, and some additional validation.
if start is None:
if for_installation:
start = installation_epoch()
else:
start = realm.date_created
if end is None:
end = max(last_successful_fill(stat.property) or
datetime.min.replace(tzinfo=timezone_utc) for stat in stats)
if end is None or start > end:
logging.warning("User from realm %s attempted to access /stats, but the computed "
"start time: %s (creation of realm or installation) is later than the computed "
"end time: %s (last successful analytics update). Is the "
"analytics cron job running?" % (realm.string_id, start, end))
raise JsonableError(_("No analytics data available. Please contact your server administrator."))
assert len(set([stat.frequency for stat in stats])) == 1
end_times = time_range(start, end, stats[0].frequency, min_length)
data = {'end_times': end_times, 'frequency': stats[0].frequency} # type: Dict[str, Any]
aggregation_level = {
InstallationCount: 'everyone',
RealmCount: 'everyone',
RemoteInstallationCount: 'everyone',
RemoteRealmCount: 'everyone',
UserCount: 'user',
}
# -1 is a placeholder value, since there is no relevant filtering on InstallationCount
id_value = {
InstallationCount: -1,
RealmCount: realm.id,
RemoteInstallationCount: cast(RemoteZulipServer, server).id if server is not None else None,
# TODO: RemoteRealmCount logic doesn't correctly handle
# filtering by server_id as well.
RemoteRealmCount: remote_realm_id,
UserCount: user_profile.id,
}
for table in tables:
data[aggregation_level[table]] = {}
for stat in stats:
data[aggregation_level[table]].update(get_time_series_by_subgroup(
stat, table, id_value[table], end_times, subgroup_to_label[stat], include_empty_subgroups))
if labels_sort_function is not None:
data['display_order'] = labels_sort_function(data)
else:
data['display_order'] = None
return json_success(data=data)
def sort_by_totals(value_arrays: Dict[str, List[int]]) -> List[str]:
totals = [(sum(values), label) for label, values in value_arrays.items()]
totals.sort(reverse=True)
return [label for total, label in totals]
# For any given user, we want to show a fixed set of clients in the chart,
# regardless of the time aggregation or whether we're looking at realm or
# user data. This fixed set ideally includes the clients most important in
# understanding the realm's traffic and the user's traffic. This function
# tries to rank the clients so that taking the first N elements of the
# sorted list has a reasonable chance of doing so.
def sort_client_labels(data: Dict[str, Dict[str, List[int]]]) -> List[str]:
realm_order = sort_by_totals(data['everyone'])
user_order = sort_by_totals(data['user'])
label_sort_values = {} # type: Dict[str, float]
for i, label in enumerate(realm_order):
label_sort_values[label] = i
for i, label in enumerate(user_order):
label_sort_values[label] = min(i-.1, label_sort_values.get(label, i))
return [label for label, sort_value in sorted(label_sort_values.items(),
key=lambda x: x[1])]
def table_filtered_to_id(table: Type[BaseCount], key_id: int) -> QuerySet:
if table == RealmCount:
return RealmCount.objects.filter(realm_id=key_id)
elif table == UserCount:
return UserCount.objects.filter(user_id=key_id)
elif table == StreamCount:
return StreamCount.objects.filter(stream_id=key_id)
elif table == InstallationCount:
return InstallationCount.objects.all()
elif table == RemoteInstallationCount:
return RemoteInstallationCount.objects.filter(server_id=key_id)
elif table == RemoteRealmCount:
return RemoteRealmCount.objects.filter(realm_id=key_id)
else:
raise AssertionError("Unknown table: %s" % (table,))
def client_label_map(name: str) -> str:
if name == "website":
return "Website"
if name.startswith("desktop app"):
return "Old desktop app"
if name == "ZulipElectron":
return "Desktop app"
if name == "ZulipAndroid":
return "Old Android app"
if name == "ZulipiOS":
return "Old iOS app"
if name == "ZulipMobile":
return "Mobile app"
if name in ["ZulipPython", "API: Python"]:
return "Python API"
if name.startswith("Zulip") and name.endswith("Webhook"):
return name[len("Zulip"):-len("Webhook")] + " webhook"
return name
def rewrite_client_arrays(value_arrays: Dict[str, List[int]]) -> Dict[str, List[int]]:
mapped_arrays = {} # type: Dict[str, List[int]]
for label, array in value_arrays.items():
mapped_label = client_label_map(label)
if mapped_label in mapped_arrays:
for i in range(0, len(array)):
mapped_arrays[mapped_label][i] += value_arrays[label][i]
else:
mapped_arrays[mapped_label] = [value_arrays[label][i] for i in range(0, len(array))]
return mapped_arrays
def get_time_series_by_subgroup(stat: CountStat,
table: Type[BaseCount],
key_id: int,
end_times: List[datetime],
subgroup_to_label: Dict[Optional[str], str],
include_empty_subgroups: bool) -> Dict[str, List[int]]:
queryset = table_filtered_to_id(table, key_id).filter(property=stat.property) \
.values_list('subgroup', 'end_time', 'value')
value_dicts = defaultdict(lambda: defaultdict(int)) # type: Dict[Optional[str], Dict[datetime, int]]
for subgroup, end_time, value in queryset:
value_dicts[subgroup][end_time] = value
value_arrays = {}
for subgroup, label in subgroup_to_label.items():
if (subgroup in value_dicts) or include_empty_subgroups:
value_arrays[label] = [value_dicts[subgroup][end_time] for end_time in end_times]
if stat == COUNT_STATS['messages_sent:client:day']:
# HACK: We rewrite these arrays to collapse the Client objects
# with similar names into a single sum, and generally give
# them better names
return rewrite_client_arrays(value_arrays)
return value_arrays
eastern_tz = pytz.timezone('US/Eastern')
def make_table(title: str, cols: List[str], rows: List[Any], has_row_class: bool=False) -> str:
if not has_row_class:
def fix_row(row: Any) -> Dict[str, Any]:
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: connection.cursor) -> List[Dict[str, Any]]:
"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() -> Dict[str, Dict[str, str]]:
query = '''
select
r.string_id,
(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.string_id,
age
order by
r.string_id,
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['string_id']][row['age']] = row['cnt']
result = {}
for string_id in counts:
raw_cnts = [counts[string_id].get(age, 0) for age in range(8)]
min_cnt = min(raw_cnts[1:])
max_cnt = max(raw_cnts[1:])
def format_count(cnt: int, style: Optional[str]=None) -> str:
if style is not None:
good_bad = style
elif 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 = (format_count(raw_cnts[0], 'neutral')
+ ''.join(map(format_count, raw_cnts[1:])))
result[string_id] = dict(cnts=cnts)
return result
def get_plan_name(plan_type: int) -> str:
return ['', 'self hosted', 'limited', 'standard', 'open source'][plan_type]
def realm_summary_table(realm_minutes: Dict[str, float]) -> str:
now = timezone_now()
query = '''
SELECT
realm.string_id,
realm.date_created,
realm.plan_type,
coalesce(user_counts.dau_count, 0) dau_count,
coalesce(wau_counts.wau_count, 0) wau_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)) dau_count
FROM zerver_useractivity ua
JOIN zerver_userprofile up
ON up.id = ua.user_profile_id
WHERE
up.is_active
AND (not up.is_bot)
AND
query in (
'/json/send_message',
'send_message_backend',
'/api/v1/send_message',
'/json/update_pointer',
'/json/users/me/pointer',
'update_pointer_backend'
)
AND
last_visit > now() - interval '1 day'
GROUP BY realm_id
) user_counts
ON user_counts.realm_id = realm.id
LEFT OUTER JOIN
(
SELECT
realm_id,
count(*) wau_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',
'/json/users/me/pointer',
'update_pointer_backend'
)
GROUP by realm.id, up.email
HAVING max(last_visit) > now() - interval '7 day'
) as wau_users
GROUP BY realm_id
) wau_counts
ON wau_counts.realm_id = realm.id
WHERE EXISTS (
SELECT *
FROM zerver_useractivity ua
JOIN zerver_userprofile up
ON up.id = ua.user_profile_id
WHERE
up.realm_id = realm.id
AND up.is_active
AND (not up.is_bot)
AND
query in (
'/json/send_message',
'/api/v1/send_message',
'send_message_backend',
'/json/update_pointer',
'/json/users/me/pointer',
'update_pointer_backend'
)
AND
last_visit > now() - interval '2 week'
)
ORDER BY dau_count DESC, string_id ASC
'''
cursor = connection.cursor()
cursor.execute(query)
rows = dictfetchall(cursor)
cursor.close()
# Fetch all the realm administrator users
realm_admins = defaultdict(list) # type: Dict[str, List[str]]
for up in UserProfile.objects.select_related("realm").filter(
is_realm_admin=True,
is_active=True
):
realm_admins[up.realm.string_id].append(up.email)
for row in rows:
row['date_created_day'] = row['date_created'].strftime('%Y-%m-%d')
row['plan_type_string'] = get_plan_name(row['plan_type'])
row['age_days'] = int((now - row['date_created']).total_seconds()
/ 86400)
row['is_new'] = row['age_days'] < 12 * 7
row['realm_admin_email'] = ', '.join(realm_admins[row['string_id']])
# get messages sent per day
counts = get_realm_day_counts()
for row in rows:
try:
row['history'] = counts[row['string_id']]['cnts']
except Exception:
row['history'] = ''
# estimate annual subscription revenue
total_amount = 0
if settings.BILLING_ENABLED:
from corporate.lib.stripe import estimate_annual_recurring_revenue_by_realm
estimated_arrs = estimate_annual_recurring_revenue_by_realm()
for row in rows:
if row['string_id'] in estimated_arrs:
row['amount'] = estimated_arrs[row['string_id']]
total_amount += sum(estimated_arrs.values())
# augment data with realm_minutes
total_hours = 0.0
for row in rows:
string_id = row['string_id']
minutes = realm_minutes.get(string_id, 0.0)
hours = minutes / 60.0
total_hours += hours
row['hours'] = str(int(hours))
try:
row['hours_per_user'] = '%.1f' % (hours / row['dau_count'],)
except Exception:
pass
# formatting
for row in rows:
row['stats_link'] = realm_stats_link(row['string_id'])
row['string_id'] = realm_activity_link(row['string_id'])
# Count active sites
def meets_goal(row: Dict[str, int]) -> bool:
return row['dau_count'] >= 5
num_active_sites = len(list(filter(meets_goal, rows)))
# create totals
total_dau_count = 0
total_user_profile_count = 0
total_bot_count = 0
total_wau_count = 0
for row in rows:
total_dau_count += int(row['dau_count'])
total_user_profile_count += int(row['user_profile_count'])
total_bot_count += int(row['bot_count'])
total_wau_count += int(row['wau_count'])
total_row = dict(
string_id='Total',
plan_type_string="",
amount=total_amount,
stats_link = '',
date_created_day='',
realm_admin_email='',
dau_count=total_dau_count,
user_profile_count=total_user_profile_count,
bot_count=total_bot_count,
hours=int(total_hours),
wau_count=total_wau_count,
)
rows.insert(0, total_row)
content = loader.render_to_string(
'analytics/realm_summary_table.html',
dict(rows=rows, num_active_sites=num_active_sites,
now=now.strftime('%Y-%m-%dT%H:%M:%SZ'))
)
return content
def user_activity_intervals() -> Tuple[mark_safe, Dict[str, float]]:
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__delivery_email',
'user_profile__realm__string_id'
).order_by(
'user_profile__realm__string_id',
'user_profile__delivery_email'
)
by_string_id = lambda row: row.user_profile.realm.string_id
by_email = lambda row: row.user_profile.delivery_email
realm_minutes = {}
for string_id, realm_intervals in itertools.groupby(all_intervals, by_string_id):
realm_duration = timedelta(0)
output += '<hr>%s\n' % (string_id,)
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[string_id] = 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: str) -> str:
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.string_id = %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.string_id = %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() -> List[Dict[str, str]]:
def get_page(query: str, cols: List[str], title: str,
totals_columns: List[int]=[]) -> Dict[str, str]:
cursor = connection.cursor()
cursor.execute(query)
rows = cursor.fetchall()
rows = list(map(list, rows))
cursor.close()
def fix_rows(i: int,
fixup_func: Union[Callable[[Realm], mark_safe], Callable[[datetime], str]]) -> None:
for row in rows:
row[i] = fixup_func(row[i])
total_row = []
for i, col in enumerate(cols):
if col == 'Realm':
fix_rows(i, realm_activity_link)
elif col in ['Last time', 'Last visit']:
fix_rows(i, format_date_for_activity_reports)
elif col == 'Hostname':
for row in rows:
row[i] = remote_installation_stats_link(row[0], row[i])
if len(totals_columns) > 0:
if i == 0:
total_row.append("Total")
elif i in totals_columns:
total_row.append(str(sum(row[i] for row in rows if row[i] is not None)))
else:
total_row.append('')
if len(totals_columns) > 0:
rows.insert(0, total_row)
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.string_id,
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 string_id, up.id, client.name
having max(last_visit) > now() - interval '2 week'
order by string_id, up.id, client.name
''' % (mobile_type,)
cols = [
'Realm',
'User id',
'Name',
'Hits',
'Last time'
]
pages.append(get_page(query, cols, title))
###
title = 'Desktop users'
query = '''
select
realm.string_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 'desktop%%'
group by string_id, client.name
having max(last_visit) > now() - interval '2 week'
order by string_id, client.name
'''
cols = [
'Realm',
'Client',
'Hits',
'Last time'
]
pages.append(get_page(query, cols, title))
###
title = 'Integrations by realm'
query = '''
select
realm.string_id,
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 string_id, client_name
having max(last_visit) > now() - interval '2 week'
order by string_id, client_name
'''
cols = [
'Realm',
'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.string_id,
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, string_id
having max(last_visit) > now() - interval '2 week'
order by client_name, string_id
'''
cols = [
'Client',
'Realm',
'Hits',
'Last time'
]
pages.append(get_page(query, cols, title))
title = 'Remote Zulip servers'
query = '''
with icount as (
select
server_id,
max(value) as max_value,
max(end_time) as max_end_time
from zilencer_remoteinstallationcount
where
property='active_users:is_bot:day'
and subgroup='false'
group by server_id
),
remote_push_devices as (
select server_id, count(distinct(user_id)) as push_user_count from zilencer_remotepushdevicetoken
group by server_id
)
select
rserver.id,
rserver.hostname,
rserver.contact_email,
max_value,
push_user_count,
max_end_time
from zilencer_remotezulipserver rserver
left join icount on icount.server_id = rserver.id
left join remote_push_devices on remote_push_devices.server_id = rserver.id
order by max_value DESC NULLS LAST, push_user_count DESC NULLS LAST
'''
cols = [
'ID',
'Hostname',
'Contact email',
'Analytics users',
'Mobile users',
'Last update time',
]
pages.append(get_page(query, cols, title,
totals_columns=[3, 4]))
return pages
@require_server_admin
@has_request_variables
def get_activity(request: HttpRequest) -> HttpResponse:
duration_content, realm_minutes = user_activity_intervals() # type: Tuple[mark_safe, Dict[str, float]]
counts_content = realm_summary_table(realm_minutes) # type: str
data = [
('Counts', counts_content),
('Durations', duration_content),
]
for page in ad_hoc_queries():
data.append((page['title'], page['content']))
title = 'Activity'
return render(
request,
'analytics/activity.html',
context=dict(data=data, title=title, is_home=True),
)
def get_user_activity_records_for_realm(realm: str, is_bot: bool) -> QuerySet:
fields = [
'user_profile__full_name',
'user_profile__delivery_email',
'query',
'client__name',
'count',
'last_visit',
]
records = UserActivity.objects.filter(
user_profile__realm__string_id=realm,
user_profile__is_active=True,
user_profile__is_bot=is_bot
)
records = records.order_by("user_profile__delivery_email", "-last_visit")
records = records.select_related('user_profile', 'client').only(*fields)
return records
def get_user_activity_records_for_email(email: str) -> List[QuerySet]:
fields = [
'user_profile__full_name',
'query',
'client__name',
'count',
'last_visit'
]
records = UserActivity.objects.filter(
user_profile__delivery_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: List[QuerySet]) -> str:
cols = [
'query',
'client',
'count',
'last_visit'
]
def row(record: QuerySet) -> List[Any]:
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: List[QuerySet]) -> Dict[str, Dict[str, Any]]:
#: `Any` used above should be `Union(int, datetime)`.
#: However current version of `Union` does not work inside other function.
#: We could use something like:
# `Union[Dict[str, Dict[str, int]], Dict[str, Dict[str, datetime]]]`
#: but that would require this long `Union` to carry on throughout inner functions.
summary = {} # type: Dict[str, Dict[str, Any]]
def update(action: str, record: QuerySet) -> None:
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', '/json/users/me/pointer', '/api/v1/update_pointer',
'update_pointer_backend']:
update('pointer', record)
update(client, record)
return summary
def format_date_for_activity_reports(date: Optional[datetime]) -> str:
if date:
return date.astimezone(eastern_tz).strftime('%Y-%m-%d %H:%M')
else:
return ''
def user_activity_link(email: str) -> mark_safe:
url_name = 'analytics.views.get_user_activity'
url = 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_str: str) -> mark_safe:
url_name = 'analytics.views.get_realm_activity'
url = reverse(url_name, kwargs=dict(realm_str=realm_str))
realm_link = '<a href="%s">%s</a>' % (url, realm_str)
return mark_safe(realm_link)
def realm_stats_link(realm_str: str) -> mark_safe:
url_name = 'analytics.views.stats_for_realm'
url = reverse(url_name, kwargs=dict(realm_str=realm_str))
stats_link = '<a href="{}"><i class="fa fa-pie-chart"></i></a>'.format(url, realm_str)
return mark_safe(stats_link)
def remote_installation_stats_link(server_id: int, hostname: str) -> mark_safe:
url_name = 'analytics.views.stats_for_remote_installation'
url = reverse(url_name, kwargs=dict(remote_server_id=server_id))
stats_link = '<a href="{}"><i class="fa fa-pie-chart"></i>{}</a>'.format(url, hostname)
return mark_safe(stats_link)
def realm_client_table(user_summaries: Dict[str, Dict[str, Dict[str, Any]]]) -> str:
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: Dict[str, Dict[str, Any]]) -> str:
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: List[QuerySet],
admin_emails: Set[str]) -> Tuple[Dict[str, Dict[str, Any]], str]:
user_records = {}
def by_email(record: QuerySet) -> str:
return record.user_profile.delivery_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: Dict[str, Dict[str, datetime]], k: str) -> Optional[datetime]:
if k in user_summary:
return user_summary[k]['last_visit']
else:
return None
def get_count(user_summary: Dict[str, Dict[str, str]], k: str) -> str:
if k in user_summary:
return user_summary[k]['count']
else:
return ''
def is_recent(val: Optional[datetime]) -> bool:
age = timezone_now() - 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']:
visit = get_last_visit(user_summary, field)
if field == 'use':
if visit and is_recent(visit):
row_class += ' recently_active'
if email in admin_emails:
row_class += ' admin'
val = format_date_for_activity_reports(visit)
cells.append(val)
row = dict(cells=cells, row_class=row_class)
rows.append(row)
def by_used_time(row: Dict[str, Any]) -> str:
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
@require_server_admin
def get_realm_activity(request: HttpRequest, realm_str: str) -> HttpResponse:
data = [] # type: List[Tuple[str, str]]
all_user_records = {} # type: Dict[str, Any]
try:
admins = Realm.objects.get(string_id=realm_str).get_admin_users()
except Realm.DoesNotExist:
return HttpResponseNotFound("Realm %s does not exist" % (realm_str,))
admin_emails = {admin.delivery_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_str, 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_str)
data += [(page_title, content)]
title = realm_str
return render(
request,
'analytics/activity.html',
context=dict(data=data, realm_link=None, title=title),
)
@require_server_admin
def get_user_activity(request: HttpRequest, email: str) -> HttpResponse:
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(
request,
'analytics/activity.html',
context=dict(data=data, title=title),
)
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