mirror of https://github.com/zulip/zulip.git
620 lines
19 KiB
Python
620 lines
19 KiB
Python
import itertools
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import time
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from collections import defaultdict
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from datetime import datetime, timedelta
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from typing import Callable, Dict, List, Optional, Sequence, Tuple, Union
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from django.conf import settings
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from django.db import connection
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from django.http import HttpRequest, HttpResponse
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from django.shortcuts import render
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from django.template import loader
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from django.utils.timezone import now as timezone_now
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from jinja2.utils import Markup as mark_safe
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from psycopg2.sql import SQL, Composable, Literal
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from analytics.lib.counts import COUNT_STATS
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from analytics.views.activity_common import (
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dictfetchall,
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format_date_for_activity_reports,
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make_table,
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realm_activity_link,
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realm_stats_link,
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remote_installation_stats_link,
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)
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from analytics.views.support import get_plan_name
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from zerver.decorator import require_server_admin
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from zerver.lib.request import has_request_variables
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from zerver.lib.timestamp import timestamp_to_datetime
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from zerver.models import Realm, UserActivityInterval, UserProfile, get_org_type_display_name
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if settings.BILLING_ENABLED:
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from corporate.lib.stripe import (
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estimate_annual_recurring_revenue_by_realm,
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get_realms_to_default_discount_dict,
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)
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def get_realm_day_counts() -> Dict[str, Dict[str, str]]:
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query = SQL(
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"""
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select
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r.string_id,
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(now()::date - date_sent::date) age,
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count(*) cnt
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from zerver_message m
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join zerver_userprofile up on up.id = m.sender_id
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join zerver_realm r on r.id = up.realm_id
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join zerver_client c on c.id = m.sending_client_id
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where
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(not up.is_bot)
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and
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date_sent > now()::date - interval '8 day'
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and
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c.name not in ('zephyr_mirror', 'ZulipMonitoring')
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group by
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r.string_id,
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age
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order by
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r.string_id,
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age
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"""
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)
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cursor = connection.cursor()
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cursor.execute(query)
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rows = dictfetchall(cursor)
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cursor.close()
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counts: Dict[str, Dict[int, int]] = defaultdict(dict)
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for row in rows:
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counts[row["string_id"]][row["age"]] = row["cnt"]
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result = {}
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for string_id in counts:
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raw_cnts = [counts[string_id].get(age, 0) for age in range(8)]
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min_cnt = min(raw_cnts[1:])
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max_cnt = max(raw_cnts[1:])
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def format_count(cnt: int, style: Optional[str] = None) -> str:
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if style is not None:
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good_bad = style
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elif cnt == min_cnt:
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good_bad = "bad"
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elif cnt == max_cnt:
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good_bad = "good"
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else:
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good_bad = "neutral"
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return f'<td class="number {good_bad}">{cnt}</td>'
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cnts = format_count(raw_cnts[0], "neutral") + "".join(map(format_count, raw_cnts[1:]))
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result[string_id] = dict(cnts=cnts)
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return result
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def realm_summary_table(realm_minutes: Dict[str, float]) -> str:
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now = timezone_now()
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query = SQL(
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"""
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SELECT
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realm.string_id,
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realm.date_created,
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realm.plan_type,
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realm.org_type,
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coalesce(wau_table.value, 0) wau_count,
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coalesce(dau_table.value, 0) dau_count,
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coalesce(user_count_table.value, 0) user_profile_count,
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coalesce(bot_count_table.value, 0) bot_count
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FROM
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zerver_realm as realm
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LEFT OUTER JOIN (
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SELECT
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value _14day_active_humans,
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realm_id
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from
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analytics_realmcount
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WHERE
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property = 'realm_active_humans::day'
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AND end_time = %(realm_active_humans_end_time)s
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) as _14day_active_humans_table ON realm.id = _14day_active_humans_table.realm_id
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LEFT OUTER JOIN (
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SELECT
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value,
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realm_id
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from
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analytics_realmcount
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WHERE
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property = '7day_actives::day'
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AND end_time = %(seven_day_actives_end_time)s
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) as wau_table ON realm.id = wau_table.realm_id
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LEFT OUTER JOIN (
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SELECT
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value,
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realm_id
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from
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analytics_realmcount
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WHERE
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property = '1day_actives::day'
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AND end_time = %(one_day_actives_end_time)s
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) as dau_table ON realm.id = dau_table.realm_id
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LEFT OUTER JOIN (
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SELECT
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value,
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realm_id
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from
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analytics_realmcount
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WHERE
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property = 'active_users_audit:is_bot:day'
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AND subgroup = 'false'
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AND end_time = %(active_users_audit_end_time)s
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) as user_count_table ON realm.id = user_count_table.realm_id
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LEFT OUTER JOIN (
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SELECT
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value,
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realm_id
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from
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analytics_realmcount
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WHERE
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property = 'active_users_audit:is_bot:day'
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AND subgroup = 'true'
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AND end_time = %(active_users_audit_end_time)s
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) as bot_count_table ON realm.id = bot_count_table.realm_id
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WHERE
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_14day_active_humans IS NOT NULL
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or realm.plan_type = 3
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ORDER BY
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dau_count DESC,
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string_id ASC
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"""
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)
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cursor = connection.cursor()
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cursor.execute(
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query,
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{
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"realm_active_humans_end_time": COUNT_STATS[
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"realm_active_humans::day"
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].last_successful_fill(),
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"seven_day_actives_end_time": COUNT_STATS["7day_actives::day"].last_successful_fill(),
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"one_day_actives_end_time": COUNT_STATS["1day_actives::day"].last_successful_fill(),
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"active_users_audit_end_time": COUNT_STATS[
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"active_users_audit:is_bot:day"
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].last_successful_fill(),
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},
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)
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rows = dictfetchall(cursor)
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cursor.close()
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# Fetch all the realm administrator users
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realm_owners: Dict[str, List[str]] = defaultdict(list)
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for up in UserProfile.objects.select_related("realm").filter(
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role=UserProfile.ROLE_REALM_OWNER,
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is_active=True,
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):
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realm_owners[up.realm.string_id].append(up.delivery_email)
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for row in rows:
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row["date_created_day"] = row["date_created"].strftime("%Y-%m-%d")
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row["age_days"] = int((now - row["date_created"]).total_seconds() / 86400)
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row["is_new"] = row["age_days"] < 12 * 7
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row["realm_owner_emails"] = ", ".join(realm_owners[row["string_id"]])
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# get messages sent per day
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counts = get_realm_day_counts()
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for row in rows:
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try:
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row["history"] = counts[row["string_id"]]["cnts"]
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except Exception:
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row["history"] = ""
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# estimate annual subscription revenue
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total_arr = 0
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if settings.BILLING_ENABLED:
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estimated_arrs = estimate_annual_recurring_revenue_by_realm()
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realms_to_default_discount = get_realms_to_default_discount_dict()
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for row in rows:
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row["plan_type_string"] = get_plan_name(row["plan_type"])
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string_id = row["string_id"]
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if string_id in estimated_arrs:
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row["arr"] = estimated_arrs[string_id]
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if row["plan_type"] in [Realm.STANDARD, Realm.PLUS]:
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row["effective_rate"] = 100 - int(realms_to_default_discount.get(string_id, 0))
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elif row["plan_type"] == Realm.STANDARD_FREE:
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row["effective_rate"] = 0
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elif row["plan_type"] == Realm.LIMITED and string_id in realms_to_default_discount:
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row["effective_rate"] = 100 - int(realms_to_default_discount[string_id])
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else:
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row["effective_rate"] = ""
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total_arr += sum(estimated_arrs.values())
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for row in rows:
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row["org_type_string"] = get_org_type_display_name(row["org_type"])
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# augment data with realm_minutes
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total_hours = 0.0
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for row in rows:
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string_id = row["string_id"]
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minutes = realm_minutes.get(string_id, 0.0)
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hours = minutes / 60.0
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total_hours += hours
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row["hours"] = str(int(hours))
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try:
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row["hours_per_user"] = "{:.1f}".format(hours / row["dau_count"])
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except Exception:
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pass
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# formatting
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for row in rows:
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row["stats_link"] = realm_stats_link(row["string_id"])
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row["string_id"] = realm_activity_link(row["string_id"])
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# Count active sites
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def meets_goal(row: Dict[str, int]) -> bool:
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return row["dau_count"] >= 5
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num_active_sites = len(list(filter(meets_goal, rows)))
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# create totals
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total_dau_count = 0
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total_user_profile_count = 0
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total_bot_count = 0
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total_wau_count = 0
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for row in rows:
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total_dau_count += int(row["dau_count"])
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total_user_profile_count += int(row["user_profile_count"])
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total_bot_count += int(row["bot_count"])
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total_wau_count += int(row["wau_count"])
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total_row = dict(
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string_id="Total",
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plan_type_string="",
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org_type_string="",
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effective_rate="",
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arr=total_arr,
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stats_link="",
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date_created_day="",
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realm_owner_emails="",
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dau_count=total_dau_count,
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user_profile_count=total_user_profile_count,
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bot_count=total_bot_count,
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hours=int(total_hours),
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wau_count=total_wau_count,
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)
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rows.insert(0, total_row)
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content = loader.render_to_string(
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"analytics/realm_summary_table.html",
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dict(
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rows=rows,
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num_active_sites=num_active_sites,
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utctime=now.strftime("%Y-%m-%d %H:%MZ"),
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billing_enabled=settings.BILLING_ENABLED,
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),
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)
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return content
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def user_activity_intervals() -> Tuple[mark_safe, Dict[str, float]]:
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day_end = timestamp_to_datetime(time.time())
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day_start = day_end - timedelta(hours=24)
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output = "Per-user online duration for the last 24 hours:\n"
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total_duration = timedelta(0)
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all_intervals = (
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UserActivityInterval.objects.filter(
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end__gte=day_start,
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start__lte=day_end,
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)
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.select_related(
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"user_profile",
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"user_profile__realm",
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)
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.only(
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"start",
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"end",
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"user_profile__delivery_email",
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"user_profile__realm__string_id",
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)
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.order_by(
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"user_profile__realm__string_id",
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"user_profile__delivery_email",
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)
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)
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by_string_id = lambda row: row.user_profile.realm.string_id
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by_email = lambda row: row.user_profile.delivery_email
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realm_minutes = {}
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for string_id, realm_intervals in itertools.groupby(all_intervals, by_string_id):
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realm_duration = timedelta(0)
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output += f"<hr>{string_id}\n"
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for email, intervals in itertools.groupby(realm_intervals, by_email):
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duration = timedelta(0)
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for interval in intervals:
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start = max(day_start, interval.start)
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end = min(day_end, interval.end)
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duration += end - start
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total_duration += duration
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realm_duration += duration
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output += f" {email:<37}{duration}\n"
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realm_minutes[string_id] = realm_duration.total_seconds() / 60
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output += f"\nTotal duration: {total_duration}\n"
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output += f"\nTotal duration in minutes: {total_duration.total_seconds() / 60.}\n"
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output += f"Total duration amortized to a month: {total_duration.total_seconds() * 30. / 60.}"
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content = mark_safe("<pre>" + output + "</pre>")
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return content, realm_minutes
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def ad_hoc_queries() -> List[Dict[str, str]]:
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def get_page(
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query: Composable, cols: Sequence[str], title: str, totals_columns: Sequence[int] = []
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) -> Dict[str, str]:
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cursor = connection.cursor()
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cursor.execute(query)
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rows = cursor.fetchall()
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rows = list(map(list, rows))
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cursor.close()
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def fix_rows(
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i: int, fixup_func: Union[Callable[[str], mark_safe], Callable[[datetime], str]]
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) -> None:
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for row in rows:
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row[i] = fixup_func(row[i])
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total_row = []
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for i, col in enumerate(cols):
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if col == "Realm":
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fix_rows(i, realm_activity_link)
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elif col in ["Last time", "Last visit"]:
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fix_rows(i, format_date_for_activity_reports)
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elif col == "Hostname":
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for row in rows:
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row[i] = remote_installation_stats_link(row[0], row[i])
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if len(totals_columns) > 0:
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if i == 0:
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total_row.append("Total")
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elif i in totals_columns:
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total_row.append(str(sum(row[i] for row in rows if row[i] is not None)))
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else:
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total_row.append("")
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if len(totals_columns) > 0:
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rows.insert(0, total_row)
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content = make_table(title, cols, rows)
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return dict(
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content=content,
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title=title,
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)
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pages = []
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###
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for mobile_type in ["Android", "ZulipiOS"]:
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title = f"{mobile_type} usage"
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query = SQL(
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"""
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select
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realm.string_id,
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up.id user_id,
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client.name,
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sum(count) as hits,
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max(last_visit) as last_time
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from zerver_useractivity ua
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join zerver_client client on client.id = ua.client_id
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join zerver_userprofile up on up.id = ua.user_profile_id
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join zerver_realm realm on realm.id = up.realm_id
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where
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client.name like {mobile_type}
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group by string_id, up.id, client.name
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having max(last_visit) > now() - interval '2 week'
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order by string_id, up.id, client.name
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"""
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).format(
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mobile_type=Literal(mobile_type),
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)
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cols = [
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"Realm",
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"User id",
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"Name",
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"Hits",
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"Last time",
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]
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pages.append(get_page(query, cols, title))
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###
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title = "Desktop users"
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query = SQL(
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"""
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select
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realm.string_id,
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client.name,
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sum(count) as hits,
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max(last_visit) as last_time
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from zerver_useractivity ua
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join zerver_client client on client.id = ua.client_id
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join zerver_userprofile up on up.id = ua.user_profile_id
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join zerver_realm realm on realm.id = up.realm_id
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where
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client.name like 'desktop%%'
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group by string_id, client.name
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having max(last_visit) > now() - interval '2 week'
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order by string_id, client.name
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"""
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)
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cols = [
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"Realm",
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"Client",
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"Hits",
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"Last time",
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]
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pages.append(get_page(query, cols, title))
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###
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title = "Integrations by realm"
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query = SQL(
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"""
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select
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realm.string_id,
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case
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when query like '%%external%%' then split_part(query, '/', 5)
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else client.name
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end client_name,
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sum(count) as hits,
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max(last_visit) as last_time
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from zerver_useractivity ua
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join zerver_client client on client.id = ua.client_id
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join zerver_userprofile up on up.id = ua.user_profile_id
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join zerver_realm realm on realm.id = up.realm_id
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where
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(query in ('send_message_backend', '/api/v1/send_message')
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and client.name not in ('Android', 'ZulipiOS')
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and client.name not like 'test: Zulip%%'
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)
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or
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query like '%%external%%'
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group by string_id, client_name
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having max(last_visit) > now() - interval '2 week'
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order by string_id, client_name
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"""
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)
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cols = [
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"Realm",
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"Client",
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"Hits",
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"Last time",
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]
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pages.append(get_page(query, cols, title))
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###
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title = "Integrations by client"
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query = SQL(
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"""
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select
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case
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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 = SQL(
|
|
"""
|
|
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_installation_activity(request: HttpRequest) -> HttpResponse:
|
|
duration_content, realm_minutes = user_activity_intervals()
|
|
counts_content: str = 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(
|
|
request,
|
|
"analytics/activity.html",
|
|
context=dict(data=data, title=title, is_home=True),
|
|
)
|