zulip/analytics/views/stats.py

576 lines
20 KiB
Python

import logging
from collections import defaultdict
from datetime import datetime, timedelta, timezone
from typing import Any, Optional, TypeAlias, TypeVar, cast
from django.conf import settings
from django.db.models import QuerySet
from django.http import HttpRequest, HttpResponse, HttpResponseNotFound
from django.shortcuts import render
from django.utils import translation
from django.utils.timezone import now as timezone_now
from django.utils.translation import gettext as _
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,
installation_epoch,
)
from zerver.decorator import (
require_non_guest_user,
require_server_admin,
require_server_admin_api,
to_utc_datetime,
zulip_login_required,
)
from zerver.lib.exceptions import JsonableError
from zerver.lib.i18n import get_and_set_request_language, get_language_translation_data
from zerver.lib.request import REQ, has_request_variables
from zerver.lib.response import json_success
from zerver.lib.streams import access_stream_by_id
from zerver.lib.timestamp import convert_to_UTC
from zerver.lib.validator import to_non_negative_int
from zerver.models import Client, Realm, Stream, UserProfile
from zerver.models.realms import get_realm
if settings.ZILENCER_ENABLED:
from zilencer.models import RemoteInstallationCount, RemoteRealmCount, RemoteZulipServer
MAX_TIME_FOR_FULL_ANALYTICS_GENERATION = timedelta(days=1, minutes=30)
def is_analytics_ready(realm: Realm) -> bool:
return (timezone_now() - realm.date_created) > MAX_TIME_FOR_FULL_ANALYTICS_GENERATION
def render_stats(
request: HttpRequest,
data_url_suffix: str,
realm: Realm | None,
*,
title: str | None = None,
analytics_ready: bool = True,
) -> HttpResponse:
assert request.user.is_authenticated
if realm is not None:
# Same query to get guest user count as in get_seat_count in corporate/lib/stripe.py.
guest_users = UserProfile.objects.filter(
realm=realm, is_active=True, is_bot=False, role=UserProfile.ROLE_GUEST
).count()
space_used = realm.currently_used_upload_space_bytes()
if title:
pass
else:
title = realm.name or realm.string_id
else:
assert title
guest_users = None
space_used = None
request_language = get_and_set_request_language(
request,
request.user.default_language,
translation.get_language_from_path(request.path_info),
)
# Sync this with stats_params_schema in base_page_params.ts.
page_params = dict(
page_type="stats",
data_url_suffix=data_url_suffix,
upload_space_used=space_used,
guest_users=guest_users,
translation_data=get_language_translation_data(request_language),
)
return render(
request,
"analytics/stats.html",
context=dict(
target_name=title,
page_params=page_params,
analytics_ready=analytics_ready,
),
)
@zulip_login_required
def stats(request: HttpRequest) -> HttpResponse:
assert request.user.is_authenticated
realm = request.user.realm
if request.user.is_guest:
# TODO: Make @zulip_login_required pass the UserProfile so we
# can use @require_member_or_admin
raise JsonableError(_("Not allowed for guest users"))
return render_stats(request, "", realm, analytics_ready=is_analytics_ready(realm))
@require_server_admin
@has_request_variables
def stats_for_realm(request: HttpRequest, realm_str: str) -> HttpResponse:
try:
realm = get_realm(realm_str)
except Realm.DoesNotExist:
return HttpResponseNotFound()
return render_stats(
request,
f"/realm/{realm_str}",
realm,
analytics_ready=is_analytics_ready(realm),
)
@require_server_admin
@has_request_variables
def stats_for_remote_realm(
request: HttpRequest, remote_server_id: int, remote_realm_id: int
) -> HttpResponse:
assert settings.ZILENCER_ENABLED
server = RemoteZulipServer.objects.get(id=remote_server_id)
return render_stats(
request,
f"/remote/{server.id}/realm/{remote_realm_id}",
None,
title=f"Realm {remote_realm_id} on server {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:
try:
realm = get_realm(realm_str)
except Realm.DoesNotExist:
raise JsonableError(_("Invalid organization"))
return get_chart_data(request, user_profile, realm=realm, **kwargs)
@require_non_guest_user
@has_request_variables
def get_chart_data_for_stream(
request: HttpRequest, /, user_profile: UserProfile, stream_id: int
) -> HttpResponse:
stream, ignored_sub = access_stream_by_id(
user_profile,
stream_id,
require_active=True,
allow_realm_admin=True,
)
return get_chart_data(request, user_profile, stream=stream)
@require_server_admin_api
@has_request_variables
def get_chart_data_for_remote_realm(
request: HttpRequest,
/,
user_profile: UserProfile,
remote_server_id: int,
remote_realm_id: int,
**kwargs: Any,
) -> HttpResponse:
assert settings.ZILENCER_ENABLED
server = RemoteZulipServer.objects.get(id=remote_server_id)
return get_chart_data(
request,
user_profile,
server=server,
remote=True,
remote_realm_id=int(remote_realm_id),
**kwargs,
)
@require_server_admin
def stats_for_installation(request: HttpRequest) -> HttpResponse:
assert request.user.is_authenticated
return render_stats(request, "/installation", None, title="installation")
@require_server_admin
def stats_for_remote_installation(request: HttpRequest, remote_server_id: int) -> HttpResponse:
assert settings.ZILENCER_ENABLED
server = RemoteZulipServer.objects.get(id=remote_server_id)
return render_stats(
request,
f"/remote/{server.id}/installation",
None,
title=f"remote installation {server.hostname}",
)
@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, 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: int,
chart_name: str = REQ(),
**kwargs: Any,
) -> HttpResponse:
assert settings.ZILENCER_ENABLED
server = RemoteZulipServer.objects.get(id=remote_server_id)
return get_chart_data(
request,
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: int | None = REQ(converter=to_non_negative_int, default=None),
start: datetime | None = REQ(converter=to_utc_datetime, default=None),
end: datetime | None = REQ(converter=to_utc_datetime, default=None),
# These last several parameters are only used by functions
# wrapping get_chart_data; the callers are responsible for
# parsing/validation/authorization for them.
realm: Realm | None = None,
for_installation: bool = False,
remote: bool = False,
remote_realm_id: int | None = None,
server: Optional["RemoteZulipServer"] = None,
stream: Stream | None = None,
) -> HttpResponse:
TableType: TypeAlias = (
type["RemoteInstallationCount"]
| type[InstallationCount]
| type["RemoteRealmCount"]
| type[RealmCount]
)
if for_installation:
if remote:
assert settings.ZILENCER_ENABLED
aggregate_table: TableType = RemoteInstallationCount
assert server is not None
else:
aggregate_table = InstallationCount
else:
if remote:
assert settings.ZILENCER_ENABLED
aggregate_table = RemoteRealmCount
assert server is not None
assert remote_realm_id is not None
else:
aggregate_table = RealmCount
tables: (
tuple[TableType] | tuple[TableType, type[UserCount]] | tuple[TableType, type[StreamCount]]
)
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: dict[CountStat, dict[str | None, str]] = {
stats[0]: {None: "_1day"},
stats[1]: {None: "_15day"},
stats[2]: {"false": "all_time"},
}
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 channels"),
"private_stream": _("Private channels"),
"private_message": _("Direct messages"),
"huddle_message": _("Group direct 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
elif chart_name == "messages_read_over_time":
stats = [COUNT_STATS["messages_read::hour"]]
tables = (aggregate_table, UserCount)
subgroup_to_label = {stats[0]: {None: "read"}}
labels_sort_function = None
include_empty_subgroups = True
elif chart_name == "messages_sent_by_stream":
if stream is None:
raise JsonableError(
_("Missing channel for chart: {chart_name}").format(chart_name=chart_name)
)
stats = [COUNT_STATS["messages_in_stream:is_bot:day"]]
tables = (aggregate_table, StreamCount)
subgroup_to_label = {stats[0]: {"false": "human", "true": "bot"}}
labels_sort_function = None
include_empty_subgroups = True
else:
raise JsonableError(_("Unknown chart name: {chart_name}").format(chart_name=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}, End: {end}").format(
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
assert aggregate_table is RemoteInstallationCount or aggregate_table is RemoteRealmCount
aggregate_table_remote = cast(
type[RemoteInstallationCount] | type[RemoteRealmCount], aggregate_table
) # https://stackoverflow.com/questions/68540528/mypy-assertions-on-the-types-of-types
if not aggregate_table_remote.objects.filter(server=server).exists():
raise JsonableError(
_("No analytics data available. Please contact your server administrator.")
)
if start is None:
first = (
aggregate_table_remote.objects.filter(server=server).order_by("remote_id").first()
)
assert first is not None
start = first.end_time
if end is None:
last = aggregate_table_remote.objects.filter(server=server).order_by("remote_id").last()
assert last is not None
end = 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(
stat.last_successful_fill() or datetime.min.replace(tzinfo=timezone.utc)
for stat in stats
)
if start > end and (timezone_now() - start > MAX_TIME_FOR_FULL_ANALYTICS_GENERATION):
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({stat.frequency for stat in stats}) == 1
end_times = time_range(start, end, stats[0].frequency, min_length)
data: dict[str, Any] = {
"end_times": [int(end_time.timestamp()) for end_time in end_times],
"frequency": stats[0].frequency,
}
aggregation_level = {
InstallationCount: "everyone",
RealmCount: "everyone",
UserCount: "user",
StreamCount: "everyone",
}
if settings.ZILENCER_ENABLED:
aggregation_level[RemoteInstallationCount] = "everyone"
aggregation_level[RemoteRealmCount] = "everyone"
# -1 is a placeholder value, since there is no relevant filtering on InstallationCount
id_value = {
InstallationCount: -1,
RealmCount: realm.id,
UserCount: user_profile.id,
}
if stream is not None:
id_value[StreamCount] = stream.id
if settings.ZILENCER_ENABLED:
if server is not None:
id_value[RemoteInstallationCount] = server.id
# TODO: RemoteRealmCount logic doesn't correctly handle
# filtering by server_id as well.
if remote_realm_id is not None:
id_value[RemoteRealmCount] = remote_realm_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(request, data=data)
def sort_by_totals(value_arrays: dict[str, list[int]]) -> list[str]:
totals = sorted(((sum(values), label) for label, values in value_arrays.items()), 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: dict[str, float] = {label: i for i, label in enumerate(realm_order)}
for i, label in enumerate(user_order):
label_sort_values[label] = min(i - 0.1, label_sort_values.get(label, i))
return [label for label, sort_value in sorted(label_sort_values.items(), key=lambda x: x[1])]
CountT = TypeVar("CountT", bound=BaseCount)
def table_filtered_to_id(table: type[CountT], key_id: int) -> QuerySet[CountT]:
if table == RealmCount:
return table._default_manager.filter(realm_id=key_id)
elif table == UserCount:
return table._default_manager.filter(user_id=key_id)
elif table == StreamCount:
return table._default_manager.filter(stream_id=key_id)
elif table == InstallationCount:
return table._default_manager.all()
elif settings.ZILENCER_ENABLED and table == RemoteInstallationCount:
return table._default_manager.filter(server_id=key_id)
elif settings.ZILENCER_ENABLED and table == RemoteRealmCount:
return table._default_manager.filter(realm_id=key_id)
else:
raise AssertionError(f"Unknown table: {table}")
def client_label_map(name: str) -> str:
if name == "website":
return "Web app"
if name.startswith("desktop app"):
return "Old desktop app"
if name == "ZulipElectron":
return "Desktop app"
if name == "ZulipTerminal":
return "Terminal app"
if name == "ZulipAndroid":
return "Old Android app"
if name == "ZulipiOS":
return "Old iOS app"
if name == "ZulipMobile":
return "Mobile app (React Native)"
if name in ["ZulipFlutter", "ZulipMobile/flutter"]:
return "Mobile app beta (Flutter)"
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: 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(len(array)):
mapped_arrays[mapped_label][i] += value_arrays[label][i]
else:
mapped_arrays[mapped_label] = [value_arrays[label][i] for i in range(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[str | None, 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: dict[str | None, dict[datetime, int]] = defaultdict(lambda: defaultdict(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