from __future__ import absolute_import from __future__ import division from typing import Any, Dict, List, Tuple 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 '%s' % (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', '/json/users/me/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', '/json/users/me/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', '/json/users/me/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 += '
%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('
' + output + '
') 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', '/json/users/me/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 = '%s' % (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 = '%s' % (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) )