Files
sentinel/tests/snuba/api/endpoints/test_organization_events_stats.py
2024-02-15 17:01:50 +00:00

2766 lines
104 KiB
Python

import uuid
from datetime import timedelta, timezone
from unittest import mock
from uuid import uuid4
import pytest
from dateutil.parser import parse as parse_date
from django.urls import reverse
from snuba_sdk.column import Column
from snuba_sdk.conditions import Condition, Op
from snuba_sdk.function import Function
from sentry.constants import MAX_TOP_EVENTS
from sentry.issues.grouptype import ProfileFileIOGroupType
from sentry.models.transaction_threshold import ProjectTransactionThreshold, TransactionMetric
from sentry.snuba.discover import OTHER_KEY
from sentry.testutils.cases import APITestCase, ProfilesSnubaTestCase, SnubaTestCase
from sentry.testutils.helpers.datetime import before_now, iso_format
from sentry.testutils.silo import region_silo_test
from sentry.utils.samples import load_data
from tests.sentry.issues.test_utils import SearchIssueTestMixin
pytestmark = pytest.mark.sentry_metrics
@region_silo_test
class OrganizationEventsStatsEndpointTest(APITestCase, SnubaTestCase, SearchIssueTestMixin):
endpoint = "sentry-api-0-organization-events-stats"
def setUp(self):
super().setUp()
self.login_as(user=self.user)
self.authed_user = self.user
self.day_ago = before_now(days=1).replace(hour=10, minute=0, second=0, microsecond=0)
self.project = self.create_project()
self.project2 = self.create_project()
self.user = self.create_user()
self.user2 = self.create_user()
with self.options({"issues.group_attributes.send_kafka": True}):
self.store_event(
data={
"event_id": "a" * 32,
"message": "very bad",
"timestamp": iso_format(self.day_ago + timedelta(minutes=1)),
"fingerprint": ["group1"],
"tags": {"sentry:user": self.user.email},
},
project_id=self.project.id,
)
self.store_event(
data={
"event_id": "b" * 32,
"message": "oh my",
"timestamp": iso_format(self.day_ago + timedelta(hours=1, minutes=1)),
"fingerprint": ["group2"],
"tags": {"sentry:user": self.user2.email},
},
project_id=self.project2.id,
)
self.store_event(
data={
"event_id": "c" * 32,
"message": "very bad",
"timestamp": iso_format(self.day_ago + timedelta(hours=1, minutes=2)),
"fingerprint": ["group2"],
"tags": {"sentry:user": self.user2.email},
},
project_id=self.project2.id,
)
self.url = reverse(
"sentry-api-0-organization-events-stats",
kwargs={"organization_slug": self.project.organization.slug},
)
self.features = {}
def do_request(self, data, url=None, features=None):
if features is None:
features = {"organizations:discover-basic": True}
features.update(self.features)
with self.feature(features):
return self.client.get(self.url if url is None else url, data=data, format="json")
def test_simple(self):
response = self.do_request(
{
"start": iso_format(self.day_ago),
"end": iso_format(self.day_ago + timedelta(hours=2)),
"interval": "1h",
},
)
assert response.status_code == 200, response.content
assert [attrs for time, attrs in response.data["data"]] == [[{"count": 1}], [{"count": 2}]]
def test_generic_issue(self):
_, _, group_info = self.store_search_issue(
self.project.id,
self.user.id,
[f"{ProfileFileIOGroupType.type_id}-group1"],
"prod",
self.day_ago.replace(tzinfo=timezone.utc),
)
assert group_info is not None
self.store_search_issue(
self.project.id,
self.user.id,
[f"{ProfileFileIOGroupType.type_id}-group1"],
"prod",
self.day_ago.replace(tzinfo=timezone.utc) + timedelta(hours=1, minutes=1),
)
self.store_search_issue(
self.project.id,
self.user.id,
[f"{ProfileFileIOGroupType.type_id}-group1"],
"prod",
self.day_ago.replace(tzinfo=timezone.utc) + timedelta(hours=1, minutes=2),
)
with self.feature(
[
"organizations:profiling",
]
):
response = self.do_request(
{
"start": iso_format(self.day_ago),
"end": iso_format(self.day_ago + timedelta(hours=2)),
"interval": "1h",
"query": f"issue:{group_info.group.qualified_short_id}",
"dataset": "issuePlatform",
},
)
assert response.status_code == 200, response.content
assert [attrs for time, attrs in response.data["data"]] == [[{"count": 1}], [{"count": 2}]]
def test_generic_issue_calculated_interval(self):
"""Test that a 4h interval returns the correct generic event stats.
This follows a different code path than 1h or 1d as the IssuePlatformTimeSeriesQueryBuilder
does some calculation to create the time column."""
_, _, group_info = self.store_search_issue(
self.project.id,
self.user.id,
[f"{ProfileFileIOGroupType.type_id}-group1"],
"prod",
self.day_ago.replace(tzinfo=timezone.utc) + timedelta(minutes=1),
)
assert group_info is not None
self.store_search_issue(
self.project.id,
self.user.id,
[f"{ProfileFileIOGroupType.type_id}-group1"],
"prod",
self.day_ago.replace(tzinfo=timezone.utc) + timedelta(minutes=1),
)
self.store_search_issue(
self.project.id,
self.user.id,
[f"{ProfileFileIOGroupType.type_id}-group1"],
"prod",
self.day_ago.replace(tzinfo=timezone.utc) + timedelta(minutes=2),
)
with self.feature(
[
"organizations:profiling",
]
):
response = self.do_request(
{
"start": iso_format(self.day_ago),
"end": iso_format(self.day_ago + timedelta(hours=4)),
"interval": "4h",
"query": f"issue:{group_info.group.qualified_short_id}",
"dataset": "issuePlatform",
},
)
assert response.status_code == 200, response.content
assert [attrs for time, attrs in response.data["data"]] == [[{"count": 3}], [{"count": 0}]]
def test_errors_dataset(self):
response = self.do_request(
{
"start": iso_format(self.day_ago),
"end": iso_format(self.day_ago + timedelta(hours=2)),
"interval": "1h",
"dataset": "errors",
"query": "is:unresolved",
},
)
assert response.status_code == 200, response.content
assert [attrs for time, attrs in response.data["data"]] == [[{"count": 1}], [{"count": 2}]]
def test_errors_dataset_no_query(self):
response = self.do_request(
{
"start": iso_format(self.day_ago),
"end": iso_format(self.day_ago + timedelta(hours=2)),
"interval": "1h",
"dataset": "errors",
},
)
assert response.status_code == 200, response.content
assert [attrs for time, attrs in response.data["data"]] == [[{"count": 1}], [{"count": 2}]]
def test_misaligned_last_bucket(self):
response = self.do_request(
data={
"start": iso_format(self.day_ago - timedelta(minutes=30)),
"end": iso_format(self.day_ago + timedelta(hours=1, minutes=30)),
"interval": "1h",
"partial": "1",
},
)
assert response.status_code == 200, response.content
assert [attrs for time, attrs in response.data["data"]] == [
[{"count": 0}],
[{"count": 1}],
[{"count": 2}],
]
def test_no_projects(self):
org = self.create_organization(owner=self.user)
self.login_as(user=self.user)
url = reverse(
"sentry-api-0-organization-events-stats", kwargs={"organization_slug": org.slug}
)
response = self.do_request({}, url)
assert response.status_code == 200, response.content
assert len(response.data["data"]) == 0
def test_user_count(self):
self.store_event(
data={
"event_id": "d" * 32,
"message": "something",
"timestamp": iso_format(self.day_ago + timedelta(minutes=2)),
"tags": {"sentry:user": self.user2.email},
"fingerprint": ["group2"],
},
project_id=self.project2.id,
)
response = self.do_request(
data={
"start": iso_format(self.day_ago),
"end": iso_format(self.day_ago + timedelta(hours=2)),
"interval": "1h",
"yAxis": "user_count",
},
)
assert response.status_code == 200, response.content
assert [attrs for time, attrs in response.data["data"]] == [[{"count": 2}], [{"count": 1}]]
def test_discover2_backwards_compatibility(self):
response = self.do_request(
data={
"project": self.project.id,
"start": iso_format(self.day_ago),
"end": iso_format(self.day_ago + timedelta(hours=2)),
"interval": "1h",
"yAxis": "user_count",
},
)
assert response.status_code == 200, response.content
assert len(response.data["data"]) > 0
response = self.do_request(
data={
"project": self.project.id,
"start": iso_format(self.day_ago),
"end": iso_format(self.day_ago + timedelta(hours=2)),
"interval": "1h",
"yAxis": "event_count",
},
)
assert response.status_code == 200, response.content
assert len(response.data["data"]) > 0
def test_with_event_count_flag(self):
response = self.do_request(
data={
"start": iso_format(self.day_ago),
"end": iso_format(self.day_ago + timedelta(hours=2)),
"interval": "1h",
"yAxis": "event_count",
},
)
assert response.status_code == 200, response.content
assert [attrs for time, attrs in response.data["data"]] == [[{"count": 1}], [{"count": 2}]]
def test_performance_view_feature(self):
response = self.do_request(
data={
"end": iso_format(before_now()),
"start": iso_format(before_now(hours=2)),
"query": "project_id:1",
"interval": "30m",
"yAxis": "count()",
},
features={
"organizations:performance-view": True,
"organizations:discover-basic": False,
},
)
assert response.status_code == 200, response.content
def test_apdex_divide_by_zero(self):
ProjectTransactionThreshold.objects.create(
project=self.project,
organization=self.project.organization,
threshold=600,
metric=TransactionMetric.LCP.value,
)
# Shouldn't count towards apdex
data = load_data(
"transaction",
start_timestamp=self.day_ago + timedelta(minutes=(1)),
timestamp=self.day_ago + timedelta(minutes=(3)),
)
data["transaction"] = "/apdex/new/"
data["user"] = {"email": "[email protected]"}
data["measurements"] = {}
self.store_event(data, project_id=self.project.id)
response = self.do_request(
data={
"start": iso_format(self.day_ago),
"end": iso_format(self.day_ago + timedelta(hours=2)),
"interval": "1h",
"yAxis": "apdex()",
"project": [self.project.id],
},
)
assert response.status_code == 200, response.content
assert len(response.data["data"]) == 2
data = response.data["data"]
# 0 transactions with LCP 0/0
assert [attrs for time, attrs in response.data["data"]] == [
[{"count": 0}],
[{"count": 0}],
]
def test_aggregate_function_apdex(self):
project1 = self.create_project()
project2 = self.create_project()
events = [
("one", 400, project1.id),
("one", 400, project1.id),
("two", 3000, project2.id),
("two", 1000, project2.id),
("three", 3000, project2.id),
]
for idx, event in enumerate(events):
data = load_data(
"transaction",
start_timestamp=self.day_ago + timedelta(minutes=(1 + idx)),
timestamp=self.day_ago + timedelta(minutes=(1 + idx), milliseconds=event[1]),
)
data["event_id"] = f"{idx}" * 32
data["transaction"] = f"/apdex/new/{event[0]}"
data["user"] = {"email": f"{idx}@example.com"}
self.store_event(data, project_id=event[2])
response = self.do_request(
data={
"start": iso_format(self.day_ago),
"end": iso_format(self.day_ago + timedelta(hours=2)),
"interval": "1h",
"yAxis": "apdex()",
},
)
assert response.status_code == 200, response.content
assert [attrs for time, attrs in response.data["data"]] == [
[{"count": 0.3}],
[{"count": 0}],
]
ProjectTransactionThreshold.objects.create(
project=project1,
organization=project1.organization,
threshold=100,
metric=TransactionMetric.DURATION.value,
)
ProjectTransactionThreshold.objects.create(
project=project2,
organization=project1.organization,
threshold=100,
metric=TransactionMetric.DURATION.value,
)
response = self.do_request(
data={
"start": iso_format(self.day_ago),
"end": iso_format(self.day_ago + timedelta(hours=2)),
"interval": "1h",
"yAxis": "apdex()",
},
)
assert response.status_code == 200, response.content
assert [attrs for time, attrs in response.data["data"]] == [
[{"count": 0.2}],
[{"count": 0}],
]
response = self.do_request(
data={
"start": iso_format(self.day_ago),
"end": iso_format(self.day_ago + timedelta(hours=2)),
"interval": "1h",
"yAxis": ["user_count", "apdex()"],
},
)
assert response.status_code == 200, response.content
assert response.data["user_count"]["order"] == 0
assert [attrs for time, attrs in response.data["user_count"]["data"]] == [
[{"count": 5}],
[{"count": 0}],
]
assert response.data["apdex()"]["order"] == 1
assert [attrs for time, attrs in response.data["apdex()"]["data"]] == [
[{"count": 0.2}],
[{"count": 0}],
]
def test_aggregate_function_count(self):
response = self.do_request(
data={
"start": iso_format(self.day_ago),
"end": iso_format(self.day_ago + timedelta(hours=2)),
"interval": "1h",
"yAxis": "count()",
},
)
assert response.status_code == 200, response.content
assert [attrs for time, attrs in response.data["data"]] == [[{"count": 1}], [{"count": 2}]]
def test_invalid_aggregate(self):
response = self.do_request(
data={
"start": iso_format(self.day_ago),
"end": iso_format(self.day_ago + timedelta(hours=2)),
"interval": "1h",
"yAxis": "rubbish",
},
)
assert response.status_code == 400, response.content
def test_aggregate_function_user_count(self):
response = self.do_request(
data={
"start": iso_format(self.day_ago),
"end": iso_format(self.day_ago + timedelta(hours=2)),
"interval": "1h",
"yAxis": "count_unique(user)",
},
)
assert response.status_code == 200, response.content
assert [attrs for time, attrs in response.data["data"]] == [[{"count": 1}], [{"count": 1}]]
def test_aggregate_invalid(self):
response = self.do_request(
data={
"start": iso_format(self.day_ago),
"end": iso_format(self.day_ago + timedelta(hours=2)),
"interval": "1h",
"yAxis": "nope(lol)",
},
)
assert response.status_code == 400, response.content
def test_throughput_epm_hour_rollup(self):
project = self.create_project()
# Each of these denotes how many events to create in each hour
event_counts = [6, 0, 6, 3, 0, 3]
for hour, count in enumerate(event_counts):
for minute in range(count):
self.store_event(
data={
"event_id": str(uuid.uuid1()),
"message": "very bad",
"timestamp": iso_format(
self.day_ago + timedelta(hours=hour, minutes=minute)
),
"fingerprint": ["group1"],
"tags": {"sentry:user": self.user.email},
},
project_id=project.id,
)
for axis in ["epm()", "tpm()"]:
response = self.do_request(
data={
"start": iso_format(self.day_ago),
"end": iso_format(self.day_ago + timedelta(hours=6)),
"interval": "1h",
"yAxis": axis,
"project": project.id,
},
)
assert response.status_code == 200, response.content
data = response.data["data"]
assert len(data) == 6
rows = data[0:6]
for test in zip(event_counts, rows):
assert test[1][1][0]["count"] == test[0] / (3600.0 / 60.0)
def test_throughput_epm_day_rollup(self):
project = self.create_project()
# Each of these denotes how many events to create in each minute
event_counts = [6, 0, 6, 3, 0, 3]
for hour, count in enumerate(event_counts):
for minute in range(count):
self.store_event(
data={
"event_id": str(uuid.uuid1()),
"message": "very bad",
"timestamp": iso_format(
self.day_ago + timedelta(hours=hour, minutes=minute)
),
"fingerprint": ["group1"],
"tags": {"sentry:user": self.user.email},
},
project_id=project.id,
)
for axis in ["epm()", "tpm()"]:
response = self.do_request(
data={
"start": iso_format(self.day_ago),
"end": iso_format(self.day_ago + timedelta(hours=24)),
"interval": "24h",
"yAxis": axis,
"project": project.id,
},
)
assert response.status_code == 200, response.content
data = response.data["data"]
assert len(data) == 2
assert data[0][1][0]["count"] == sum(event_counts) / (86400.0 / 60.0)
def test_throughput_eps_minute_rollup(self):
project = self.create_project()
# Each of these denotes how many events to create in each minute
event_counts = [6, 0, 6, 3, 0, 3]
for minute, count in enumerate(event_counts):
for second in range(count):
self.store_event(
data={
"event_id": str(uuid.uuid1()),
"message": "very bad",
"timestamp": iso_format(
self.day_ago + timedelta(minutes=minute, seconds=second)
),
"fingerprint": ["group1"],
"tags": {"sentry:user": self.user.email},
},
project_id=project.id,
)
for axis in ["eps()", "tps()"]:
response = self.do_request(
data={
"start": iso_format(self.day_ago),
"end": iso_format(self.day_ago + timedelta(minutes=6)),
"interval": "1m",
"yAxis": axis,
"project": project.id,
},
)
assert response.status_code == 200, response.content
data = response.data["data"]
assert len(data) == 6
rows = data[0:6]
for test in zip(event_counts, rows):
assert test[1][1][0]["count"] == test[0] / 60.0
def test_throughput_eps_no_rollup(self):
project = self.create_project()
# Each of these denotes how many events to create in each minute
event_counts = [6, 0, 6, 3, 0, 3]
for minute, count in enumerate(event_counts):
for second in range(count):
self.store_event(
data={
"event_id": str(uuid.uuid1()),
"message": "very bad",
"timestamp": iso_format(
self.day_ago + timedelta(minutes=minute, seconds=second)
),
"fingerprint": ["group1"],
"tags": {"sentry:user": self.user.email},
},
project_id=project.id,
)
response = self.do_request(
data={
"start": iso_format(self.day_ago),
"end": iso_format(self.day_ago + timedelta(minutes=1)),
"interval": "1s",
"yAxis": "eps()",
"project": project.id,
},
)
assert response.status_code == 200, response.content
data = response.data["data"]
# expect 60 data points between time span of 0 and 60 seconds
assert len(data) == 60
rows = data[0:6]
for row in rows:
assert row[1][0]["count"] == 1
def test_transaction_events(self):
prototype = {
"type": "transaction",
"transaction": "api.issue.delete",
"spans": [],
"contexts": {"trace": {"op": "foobar", "trace_id": "a" * 32, "span_id": "a" * 16}},
"tags": {"important": "yes"},
}
fixtures = (
("d" * 32, before_now(minutes=32)),
("e" * 32, before_now(hours=1, minutes=2)),
("f" * 32, before_now(hours=1, minutes=35)),
)
for fixture in fixtures:
data = prototype.copy()
data["event_id"] = fixture[0]
data["timestamp"] = iso_format(fixture[1])
data["start_timestamp"] = iso_format(fixture[1] - timedelta(seconds=1))
self.store_event(data=data, project_id=self.project.id)
response = self.do_request(
data={
"project": self.project.id,
"end": iso_format(before_now()),
"start": iso_format(before_now(hours=2)),
"query": "event.type:transaction",
"interval": "30m",
"yAxis": "count()",
},
)
assert response.status_code == 200, response.content
items = [item for time, item in response.data["data"] if item]
# We could get more results depending on where the 30 min
# windows land.
assert len(items) >= 3
def test_project_id_query_filter(self):
response = self.do_request(
data={
"end": iso_format(before_now()),
"start": iso_format(before_now(hours=2)),
"query": "project_id:1",
"interval": "30m",
"yAxis": "count()",
},
)
assert response.status_code == 200
def test_latest_release_query_filter(self):
response = self.do_request(
data={
"project": self.project.id,
"end": iso_format(before_now()),
"start": iso_format(before_now(hours=2)),
"query": "release:latest",
"interval": "30m",
"yAxis": "count()",
},
)
assert response.status_code == 200
def test_conditional_filter(self):
response = self.do_request(
data={
"start": iso_format(self.day_ago),
"end": iso_format(self.day_ago + timedelta(hours=2)),
"query": "id:{} OR id:{}".format("a" * 32, "b" * 32),
"interval": "30m",
"yAxis": "count()",
},
)
assert response.status_code == 200, response.content
data = response.data["data"]
assert len(data) == 4
assert data[0][1][0]["count"] == 1
assert data[2][1][0]["count"] == 1
def test_simple_multiple_yaxis(self):
response = self.do_request(
data={
"start": iso_format(self.day_ago),
"end": iso_format(self.day_ago + timedelta(hours=2)),
"interval": "1h",
"yAxis": ["user_count", "event_count"],
},
)
assert response.status_code == 200, response.content
assert response.data["user_count"]["order"] == 0
assert [attrs for time, attrs in response.data["user_count"]["data"]] == [
[{"count": 1}],
[{"count": 1}],
]
assert response.data["event_count"]["order"] == 1
assert [attrs for time, attrs in response.data["event_count"]["data"]] == [
[{"count": 1}],
[{"count": 2}],
]
def test_equation_yaxis(self):
response = self.do_request(
data={
"start": iso_format(self.day_ago),
"end": iso_format(self.day_ago + timedelta(hours=2)),
"interval": "1h",
"yAxis": ["equation|count() / 100"],
},
)
assert response.status_code == 200, response.content
assert len(response.data["data"]) == 2
assert [attrs for time, attrs in response.data["data"]] == [
[{"count": 0.01}],
[{"count": 0.02}],
]
def test_equation_mixed_multi_yaxis(self):
response = self.do_request(
data={
"start": iso_format(self.day_ago),
"end": iso_format(self.day_ago + timedelta(hours=2)),
"interval": "1h",
"yAxis": ["count()", "equation|count() * 100"],
},
)
assert response.status_code == 200, response.content
assert response.data["count()"]["order"] == 0
assert [attrs for time, attrs in response.data["count()"]["data"]] == [
[{"count": 1}],
[{"count": 2}],
]
assert response.data["equation|count() * 100"]["order"] == 1
assert [attrs for time, attrs in response.data["equation|count() * 100"]["data"]] == [
[{"count": 100}],
[{"count": 200}],
]
def test_equation_multi_yaxis(self):
response = self.do_request(
data={
"start": iso_format(self.day_ago),
"end": iso_format(self.day_ago + timedelta(hours=2)),
"interval": "1h",
"yAxis": ["equation|count() / 100", "equation|count() * 100"],
},
)
assert response.status_code == 200, response.content
assert response.data["equation|count() / 100"]["order"] == 0
assert [attrs for time, attrs in response.data["equation|count() / 100"]["data"]] == [
[{"count": 0.01}],
[{"count": 0.02}],
]
assert response.data["equation|count() * 100"]["order"] == 1
assert [attrs for time, attrs in response.data["equation|count() * 100"]["data"]] == [
[{"count": 100}],
[{"count": 200}],
]
def test_large_interval_no_drop_values(self):
self.store_event(
data={
"event_id": "d" * 32,
"message": "not good",
"timestamp": iso_format(self.day_ago - timedelta(minutes=10)),
"fingerprint": ["group3"],
},
project_id=self.project.id,
)
response = self.do_request(
data={
"project": self.project.id,
"end": iso_format(self.day_ago),
"start": iso_format(self.day_ago - timedelta(hours=24)),
"query": 'message:"not good"',
"interval": "1d",
"yAxis": "count()",
},
)
assert response.status_code == 200
assert [attrs for time, attrs in response.data["data"]] == [[{"count": 0}], [{"count": 1}]]
@mock.patch("sentry.snuba.discover.timeseries_query", return_value={})
def test_multiple_yaxis_only_one_query(self, mock_query):
self.do_request(
data={
"project": self.project.id,
"start": iso_format(self.day_ago),
"end": iso_format(self.day_ago + timedelta(hours=2)),
"interval": "1h",
"yAxis": ["user_count", "event_count", "epm()", "eps()"],
},
)
assert mock_query.call_count == 1
@mock.patch("sentry.snuba.discover.bulk_snql_query", return_value=[{"data": []}])
def test_invalid_interval(self, mock_query):
self.do_request(
data={
"end": iso_format(before_now()),
"start": iso_format(before_now(hours=24)),
"query": "",
"interval": "1s",
"yAxis": "count()",
},
)
assert mock_query.call_count == 1
# Should've reset to the default for 24h
assert mock_query.mock_calls[0].args[0][0].query.granularity.granularity == 300
self.do_request(
data={
"end": iso_format(before_now()),
"start": iso_format(before_now(hours=24)),
"query": "",
"interval": "0d",
"yAxis": "count()",
},
)
assert mock_query.call_count == 2
# Should've reset to the default for 24h
assert mock_query.mock_calls[1].args[0][0].query.granularity.granularity == 300
def test_out_of_retention(self):
with self.options({"system.event-retention-days": 10}):
response = self.do_request(
data={
"start": iso_format(before_now(days=20)),
"end": iso_format(before_now(days=15)),
"query": "",
"interval": "30m",
"yAxis": "count()",
},
)
assert response.status_code == 400
@mock.patch("sentry.utils.snuba.quantize_time")
def test_quantize_dates(self, mock_quantize):
mock_quantize.return_value = before_now(days=1).replace(tzinfo=timezone.utc)
# Don't quantize short time periods
self.do_request(
data={"statsPeriod": "1h", "query": "", "interval": "30m", "yAxis": "count()"},
)
# Don't quantize absolute date periods
self.do_request(
data={
"start": iso_format(before_now(days=20)),
"end": iso_format(before_now(days=15)),
"query": "",
"interval": "30m",
"yAxis": "count()",
},
)
assert len(mock_quantize.mock_calls) == 0
# Quantize long date periods
self.do_request(
data={"statsPeriod": "90d", "query": "", "interval": "30m", "yAxis": "count()"},
)
assert len(mock_quantize.mock_calls) == 2
def test_with_zerofill(self):
response = self.do_request(
data={
"start": iso_format(self.day_ago),
"end": iso_format(self.day_ago + timedelta(hours=2)),
"interval": "30m",
},
)
assert response.status_code == 200, response.content
assert [attrs for time, attrs in response.data["data"]] == [
[{"count": 1}],
[{"count": 0}],
[{"count": 2}],
[{"count": 0}],
]
def test_without_zerofill(self):
start = iso_format(self.day_ago)
end = iso_format(self.day_ago + timedelta(hours=2))
response = self.do_request(
data={
"start": start,
"end": end,
"interval": "30m",
"withoutZerofill": "1",
},
features={
"organizations:performance-chart-interpolation": True,
"organizations:discover-basic": True,
},
)
assert response.status_code == 200, response.content
assert [attrs for time, attrs in response.data["data"]] == [
[{"count": 1}],
[{"count": 2}],
]
assert response.data["start"] == parse_date(start).timestamp()
assert response.data["end"] == parse_date(end).timestamp()
def test_comparison(self):
self.store_event(
data={
"timestamp": iso_format(self.day_ago + timedelta(days=-1, minutes=1)),
},
project_id=self.project.id,
)
self.store_event(
data={
"timestamp": iso_format(self.day_ago + timedelta(days=-1, minutes=2)),
},
project_id=self.project.id,
)
self.store_event(
data={
"timestamp": iso_format(self.day_ago + timedelta(days=-1, hours=1, minutes=1)),
},
project_id=self.project2.id,
)
response = self.do_request(
data={
"start": iso_format(self.day_ago),
"end": iso_format(self.day_ago + timedelta(hours=2)),
"interval": "1h",
"comparisonDelta": int(timedelta(days=1).total_seconds()),
}
)
assert response.status_code == 200, response.content
assert [attrs for time, attrs in response.data["data"]] == [
[{"count": 1, "comparisonCount": 2}],
[{"count": 2, "comparisonCount": 1}],
]
def test_comparison_invalid(self):
response = self.do_request(
data={
"start": iso_format(self.day_ago),
"end": iso_format(self.day_ago + timedelta(hours=2)),
"interval": "1h",
"comparisonDelta": "17h",
},
)
assert response.status_code == 400, response.content
assert response.data["detail"] == "comparisonDelta must be an integer"
start = before_now(days=85)
end = start + timedelta(days=7)
with self.options({"system.event-retention-days": 90}):
response = self.do_request(
data={
"start": iso_format(start),
"end": iso_format(end),
"interval": "1h",
"comparisonDelta": int(timedelta(days=7).total_seconds()),
}
)
assert response.status_code == 400, response.content
assert response.data["detail"] == "Comparison period is outside retention window"
def test_equations_divide_by_zero(self):
response = self.do_request(
data={
"start": iso_format(self.day_ago),
"end": iso_format(self.day_ago + timedelta(hours=2)),
"interval": "1h",
# force a 0 in the denominator by doing 1 - 1
# since a 0 literal is illegal as the denominator
"yAxis": ["equation|count() / (1-1)"],
},
)
assert response.status_code == 200, response.content
assert len(response.data["data"]) == 2
assert [attrs for time, attrs in response.data["data"]] == [
[{"count": None}],
[{"count": None}],
]
@mock.patch("sentry.search.events.builder.discover.raw_snql_query")
def test_profiles_dataset_simple(self, mock_snql_query):
mock_snql_query.side_effect = [{"meta": {}, "data": []}]
query = {
"yAxis": [
"count()",
"p75()",
"p95()",
"p99()",
"p75(profile.duration)",
"p95(profile.duration)",
"p99(profile.duration)",
],
"project": [self.project.id],
"dataset": "profiles",
}
response = self.do_request(query, features={"organizations:profiling": True})
assert response.status_code == 200, response.content
def test_tag_with_conflicting_function_alias_simple(self):
for _ in range(7):
self.store_event(
data={
"timestamp": iso_format(self.day_ago + timedelta(minutes=2)),
"tags": {"count": "9001"},
},
project_id=self.project2.id,
)
# Query for count and count()
data = {
"start": iso_format(self.day_ago),
"end": iso_format(self.day_ago + timedelta(minutes=3)),
"interval": "1h",
"yAxis": "count()",
"orderby": ["-count()"],
"field": ["count()", "count"],
"partial": 1,
}
response = self.client.get(self.url, data, format="json")
assert response.status_code == 200
# Expect a count of 8 because one event from setUp
assert response.data["data"][0][1] == [{"count": 8}]
data["query"] = "count:9001"
response = self.client.get(self.url, data, format="json")
assert response.status_code == 200
assert response.data["data"][0][1] == [{"count": 7}]
data["query"] = "count:abc"
response = self.client.get(self.url, data, format="json")
assert response.status_code == 200
assert all([interval[1][0]["count"] == 0 for interval in response.data["data"]])
def test_group_id_tag_simple(self):
event_data = {
"data": {
"message": "poof",
"timestamp": iso_format(self.day_ago + timedelta(minutes=2)),
"user": {"email": self.user.email},
"tags": {"group_id": "testing"},
"fingerprint": ["group1"],
},
"project": self.project2,
"count": 7,
}
for i in range(event_data["count"]):
event_data["data"]["event_id"] = f"a{i}" * 16
self.store_event(event_data["data"], project_id=event_data["project"].id)
data = {
"start": iso_format(self.day_ago),
"end": iso_format(self.day_ago + timedelta(hours=2)),
"interval": "1h",
"yAxis": "count()",
"orderby": ["-count()"],
"field": ["count()", "group_id"],
"partial": 1,
}
response = self.client.get(self.url, data, format="json")
assert response.status_code == 200
assert response.data["data"][0][1] == [{"count": 8}]
data["query"] = "group_id:testing"
response = self.client.get(self.url, data, format="json")
assert response.status_code == 200
assert response.data["data"][0][1] == [{"count": 7}]
data["query"] = "group_id:abc"
response = self.client.get(self.url, data, format="json")
assert response.status_code == 200
assert all([interval[1][0]["count"] == 0 for interval in response.data["data"]])
@region_silo_test
class OrganizationEventsStatsTopNEvents(APITestCase, SnubaTestCase):
def setUp(self):
super().setUp()
self.login_as(user=self.user)
self.day_ago = before_now(days=1).replace(hour=10, minute=0, second=0, microsecond=0)
self.project = self.create_project()
self.project2 = self.create_project()
self.user2 = self.create_user()
transaction_data = load_data("transaction")
transaction_data["start_timestamp"] = iso_format(self.day_ago + timedelta(minutes=2))
transaction_data["timestamp"] = iso_format(self.day_ago + timedelta(minutes=4))
transaction_data["tags"] = {"shared-tag": "yup"}
self.event_data = [
{
"data": {
"message": "poof",
"timestamp": iso_format(self.day_ago + timedelta(minutes=2)),
"user": {"email": self.user.email},
"tags": {"shared-tag": "yup"},
"fingerprint": ["group1"],
},
"project": self.project2,
"count": 7,
},
{
"data": {
"message": "voof",
"timestamp": iso_format(self.day_ago + timedelta(hours=1, minutes=2)),
"fingerprint": ["group2"],
"user": {"email": self.user2.email},
"tags": {"shared-tag": "yup"},
},
"project": self.project2,
"count": 6,
},
{
"data": {
"message": "very bad",
"timestamp": iso_format(self.day_ago + timedelta(minutes=2)),
"fingerprint": ["group3"],
"user": {"email": "[email protected]"},
"tags": {"shared-tag": "yup"},
},
"project": self.project,
"count": 5,
},
{
"data": {
"message": "oh no",
"timestamp": iso_format(self.day_ago + timedelta(minutes=2)),
"fingerprint": ["group4"],
"user": {"email": "[email protected]"},
"tags": {"shared-tag": "yup"},
},
"project": self.project,
"count": 4,
},
{"data": transaction_data, "project": self.project, "count": 3},
# Not in the top 5
{
"data": {
"message": "sorta bad",
"timestamp": iso_format(self.day_ago + timedelta(minutes=2)),
"fingerprint": ["group5"],
"user": {"email": "[email protected]"},
"tags": {"shared-tag": "yup"},
},
"project": self.project,
"count": 2,
},
{
"data": {
"message": "not so bad",
"timestamp": iso_format(self.day_ago + timedelta(minutes=2)),
"fingerprint": ["group6"],
"user": {"email": "[email protected]"},
"tags": {"shared-tag": "yup"},
},
"project": self.project,
"count": 1,
},
]
self.events = []
for index, event_data in enumerate(self.event_data):
data = event_data["data"].copy()
for i in range(event_data["count"]):
data["event_id"] = f"{index}{i}" * 16
event = self.store_event(data, project_id=event_data["project"].id)
self.events.append(event)
self.transaction = self.events[4]
self.enabled_features = {
"organizations:discover-basic": True,
}
self.url = reverse(
"sentry-api-0-organization-events-stats",
kwargs={"organization_slug": self.project.organization.slug},
)
def test_no_top_events_with_project_field(self):
project = self.create_project()
with self.feature(self.enabled_features):
response = self.client.get(
self.url,
data={
# make sure to query the project with 0 events
"project": project.id,
"start": iso_format(self.day_ago),
"end": iso_format(self.day_ago + timedelta(hours=2)),
"interval": "1h",
"yAxis": "count()",
"orderby": ["-count()"],
"field": ["count()", "project"],
"topEvents": 5,
},
format="json",
)
assert response.status_code == 200, response.content
# When there are no top events, we do not return an empty dict.
# Instead, we return a single zero-filled series for an empty graph.
data = response.data["data"]
assert [attrs for time, attrs in data] == [[{"count": 0}], [{"count": 0}]]
def test_no_top_events(self):
project = self.create_project()
with self.feature(self.enabled_features):
response = self.client.get(
self.url,
data={
# make sure to query the project with 0 events
"project": project.id,
"start": iso_format(self.day_ago),
"end": iso_format(self.day_ago + timedelta(hours=2)),
"interval": "1h",
"yAxis": "count()",
"orderby": ["-count()"],
"field": ["count()", "message", "user.email"],
"topEvents": 5,
},
format="json",
)
data = response.data["data"]
assert response.status_code == 200, response.content
# When there are no top events, we do not return an empty dict.
# Instead, we return a single zero-filled series for an empty graph.
assert [attrs for time, attrs in data] == [[{"count": 0}], [{"count": 0}]]
def test_no_top_events_with_multi_axis(self):
project = self.create_project()
with self.feature(self.enabled_features):
response = self.client.get(
self.url,
data={
# make sure to query the project with 0 events
"project": project.id,
"start": iso_format(self.day_ago),
"end": iso_format(self.day_ago + timedelta(hours=2)),
"interval": "1h",
"yAxis": ["count()", "count_unique(user)"],
"orderby": ["-count()"],
"field": ["count()", "count_unique(user)", "message", "user.email"],
"topEvents": 5,
},
format="json",
)
assert response.status_code == 200
data = response.data[""]
assert [attrs for time, attrs in data["count()"]["data"]] == [
[{"count": 0}],
[{"count": 0}],
]
assert [attrs for time, attrs in data["count_unique(user)"]["data"]] == [
[{"count": 0}],
[{"count": 0}],
]
def test_simple_top_events(self):
with self.feature(self.enabled_features):
response = self.client.get(
self.url,
data={
"start": iso_format(self.day_ago),
"end": iso_format(self.day_ago + timedelta(hours=2)),
"interval": "1h",
"yAxis": "count()",
"orderby": ["-count()"],
"field": ["count()", "message", "user.email"],
"topEvents": 5,
},
format="json",
)
data = response.data
assert response.status_code == 200, response.content
assert len(data) == 6
for index, event in enumerate(self.events[:5]):
message = event.message or event.transaction
results = data[
",".join([message, self.event_data[index]["data"]["user"].get("email", "None")])
]
assert results["order"] == index
assert [{"count": self.event_data[index]["count"]}] in [
attrs for _, attrs in results["data"]
]
other = data["Other"]
assert other["order"] == 5
assert [{"count": 3}] in [attrs for _, attrs in other["data"]]
def test_top_events_with_projects_other(self):
with self.feature(self.enabled_features):
response = self.client.get(
self.url,
data={
"start": iso_format(self.day_ago),
"end": iso_format(self.day_ago + timedelta(hours=2)),
"interval": "1h",
"yAxis": "count()",
"orderby": ["-count()"],
"field": ["count()", "project"],
"topEvents": 1,
},
format="json",
)
data = response.data
assert response.status_code == 200, response.content
assert set(data.keys()) == {"Other", self.project.slug}
assert data[self.project.slug]["order"] == 0
assert [attrs[0]["count"] for _, attrs in data[self.project.slug]["data"]] == [15, 0]
assert data["Other"]["order"] == 1
assert [attrs[0]["count"] for _, attrs in data["Other"]["data"]] == [7, 6]
def test_tag_with_conflicting_function_alias_simple(self):
event_data = {
"data": {
"message": "poof",
"timestamp": iso_format(self.day_ago + timedelta(minutes=2)),
"user": {"email": self.user.email},
"tags": {"count": "9001"},
"fingerprint": ["group1"],
},
"project": self.project2,
"count": 7,
}
for i in range(event_data["count"]):
event_data["data"]["event_id"] = f"a{i}" * 16
self.store_event(event_data["data"], project_id=event_data["project"].id)
# Query for count and count()
data = {
"start": iso_format(self.day_ago),
"end": iso_format(self.day_ago + timedelta(hours=2)),
"interval": "1h",
"yAxis": "count()",
"orderby": ["-count()"],
"field": ["count()", "count"],
"topEvents": 5,
"partial": 1,
}
with self.feature(self.enabled_features):
response = self.client.get(self.url, data, format="json")
assert response.status_code == 200
assert response.data["9001"]["data"][0][1] == [{"count": 7}]
data["query"] = "count:9001"
with self.feature(self.enabled_features):
response = self.client.get(self.url, data, format="json")
assert response.status_code == 200
assert response.data["9001"]["data"][0][1] == [{"count": 7}]
data["query"] = "count:abc"
with self.feature(self.enabled_features):
response = self.client.get(self.url, data, format="json")
assert response.status_code == 200
assert all([interval[1][0]["count"] == 0 for interval in response.data["data"]])
@pytest.mark.xfail(
reason="The response.data[Other] returns 15 locally and returns 16 or 15 remotely."
)
def test_tag_with_conflicting_function_alias_with_other_single_grouping(self):
event_data = [
{
"data": {
"message": "poof",
"timestamp": iso_format(self.day_ago + timedelta(minutes=2)),
"user": {"email": self.user.email},
"tags": {"count": "9001"},
"fingerprint": ["group1"],
},
"project": self.project2,
"count": 7,
},
{
"data": {
"message": "poof2",
"timestamp": iso_format(self.day_ago + timedelta(minutes=2)),
"user": {"email": self.user.email},
"tags": {"count": "abc"},
"fingerprint": ["group1"],
},
"project": self.project2,
"count": 3,
},
]
for index, event in enumerate(event_data):
for i in range(event["count"]):
event["data"]["event_id"] = f"{index}{i}" * 16
self.store_event(event["data"], project_id=event["project"].id)
# Query for count and count()
data = {
"start": iso_format(self.day_ago),
"end": iso_format(self.day_ago + timedelta(hours=1)),
"interval": "1h",
"yAxis": "count()",
"orderby": ["-count"],
"field": ["count()", "count"],
"topEvents": 2,
"partial": 1,
}
with self.feature(self.enabled_features):
response = self.client.get(self.url, data, format="json")
assert response.status_code == 200
assert response.data["9001"]["data"][0][1] == [{"count": 7}]
assert response.data["abc"]["data"][0][1] == [{"count": 3}]
assert response.data["Other"]["data"][0][1] == [{"count": 16}]
def test_tag_with_conflicting_function_alias_with_other_multiple_groupings(self):
event_data = [
{
"data": {
"message": "abc",
"timestamp": iso_format(self.day_ago + timedelta(minutes=2)),
"user": {"email": self.user.email},
"tags": {"count": "2"},
"fingerprint": ["group1"],
},
"project": self.project2,
"count": 3,
},
{
"data": {
"message": "def",
"timestamp": iso_format(self.day_ago + timedelta(minutes=2)),
"user": {"email": self.user.email},
"tags": {"count": "9001"},
"fingerprint": ["group1"],
},
"project": self.project2,
"count": 7,
},
]
for index, event in enumerate(event_data):
for i in range(event["count"]):
event["data"]["event_id"] = f"{index}{i}" * 16
self.store_event(event["data"], project_id=event["project"].id)
# Query for count and count()
data = {
"start": iso_format(self.day_ago),
"end": iso_format(self.day_ago + timedelta(hours=2)),
"interval": "2d",
"yAxis": "count()",
"orderby": ["-count"],
"field": ["count()", "count", "message"],
"topEvents": 2,
"partial": 1,
}
with self.feature(self.enabled_features):
response = self.client.get(self.url, data, format="json")
assert response.status_code == 200
assert response.data["abc,2"]["data"][0][1] == [{"count": 3}]
assert response.data["def,9001"]["data"][0][1] == [{"count": 7}]
assert response.data["Other"]["data"][0][1] == [{"count": 25}]
def test_group_id_tag_simple(self):
event_data = {
"data": {
"message": "poof",
"timestamp": iso_format(self.day_ago + timedelta(minutes=2)),
"user": {"email": self.user.email},
"tags": {"group_id": "the tag"},
"fingerprint": ["group1"],
},
"project": self.project2,
"count": 7,
}
for i in range(event_data["count"]):
event_data["data"]["event_id"] = f"a{i}" * 16
self.store_event(event_data["data"], project_id=event_data["project"].id)
data = {
"start": iso_format(self.day_ago),
"end": iso_format(self.day_ago + timedelta(hours=2)),
"interval": "1h",
"yAxis": "count()",
"orderby": ["-count()"],
"field": ["count()", "group_id"],
"topEvents": 5,
"partial": 1,
}
with self.feature(self.enabled_features):
response = self.client.get(self.url, data, format="json")
assert response.status_code == 200, response.content
assert response.data["the tag"]["data"][0][1] == [{"count": 7}]
data["query"] = 'group_id:"the tag"'
with self.feature(self.enabled_features):
response = self.client.get(self.url, data, format="json")
assert response.status_code == 200
assert response.data["the tag"]["data"][0][1] == [{"count": 7}]
data["query"] = "group_id:abc"
with self.feature(self.enabled_features):
response = self.client.get(self.url, data, format="json")
assert response.status_code == 200
assert all([interval[1][0]["count"] == 0 for interval in response.data["data"]])
def test_top_events_limits(self):
data = {
"start": iso_format(self.day_ago),
"end": iso_format(self.day_ago + timedelta(hours=2)),
"interval": "1h",
"yAxis": "count()",
"orderby": ["-count()"],
"field": ["count()", "message", "user.email"],
}
with self.feature(self.enabled_features):
data["topEvents"] = MAX_TOP_EVENTS + 1
response = self.client.get(self.url, data, format="json")
assert response.status_code == 400
data["topEvents"] = 0
response = self.client.get(self.url, data, format="json")
assert response.status_code == 400
data["topEvents"] = "a"
response = self.client.get(self.url, data, format="json")
assert response.status_code == 400
@pytest.mark.xfail(
reason="The response is wrong whenever we have a top events timeseries on project + any other field + aggregation"
)
def test_top_events_with_projects(self):
with self.feature(self.enabled_features):
response = self.client.get(
self.url,
data={
"start": iso_format(self.day_ago),
"end": iso_format(self.day_ago + timedelta(hours=2)),
"interval": "1h",
"yAxis": "count()",
"orderby": ["-count()"],
"field": ["count()", "message", "project"],
"topEvents": 5,
},
format="json",
)
data = response.data
assert response.status_code == 200, response.content
assert len(data) == 6
for index, event in enumerate(self.events[:5]):
message = event.message or event.transaction
results = data[",".join([message, event.project.slug])]
assert results["order"] == index
assert [{"count": self.event_data[index]["count"]}] in [
attrs for time, attrs in results["data"]
]
other = data["Other"]
assert other["order"] == 5
assert [{"count": 3}] in [attrs for _, attrs in other["data"]]
def test_top_events_with_issue(self):
# delete a group to make sure if this happens the value becomes unknown
event_group = self.events[0].group
event_group.delete()
with self.feature(self.enabled_features):
response = self.client.get(
self.url,
data={
"start": iso_format(self.day_ago),
"end": iso_format(self.day_ago + timedelta(hours=2)),
"interval": "1h",
"yAxis": "count()",
"orderby": ["-count()"],
"field": ["count()", "message", "issue"],
"topEvents": 5,
"query": "!event.type:transaction",
},
format="json",
)
data = response.data
assert response.status_code == 200, response.content
assert len(data) == 6
for index, event in enumerate(self.events[:4]):
message = event.message
# Because we deleted the group for event 0
if index == 0 or event.group is None:
issue = "unknown"
else:
issue = event.group.qualified_short_id
results = data[",".join([issue, message])]
assert results["order"] == index
assert [{"count": self.event_data[index]["count"]}] in [
attrs for time, attrs in results["data"]
]
other = data["Other"]
assert other["order"] == 5
assert [{"count": 1}] in [attrs for _, attrs in other["data"]]
def test_top_events_with_transaction_status(self):
with self.feature(self.enabled_features):
response = self.client.get(
self.url,
data={
"start": iso_format(self.day_ago),
"end": iso_format(self.day_ago + timedelta(hours=2)),
"interval": "1h",
"yAxis": "count()",
"orderby": ["-count()"],
"field": ["count()", "transaction.status"],
"topEvents": 5,
},
format="json",
)
data = response.data
assert response.status_code == 200, response.content
assert len(data) == 1
assert "ok" in data
@mock.patch("sentry.models.GroupManager.get_issues_mapping")
def test_top_events_with_unknown_issue(self, mock_issues_mapping):
event = self.events[0]
event_data = self.event_data[0]
# ensure that the issue mapping returns None for the issue
mock_issues_mapping.return_value = {event.group.id: None}
with self.feature(self.enabled_features):
response = self.client.get(
self.url,
data={
"start": iso_format(self.day_ago),
"end": iso_format(self.day_ago + timedelta(hours=2)),
"interval": "1h",
"yAxis": "count()",
"orderby": ["-count()"],
"field": ["count()", "issue"],
"topEvents": 5,
# narrow the search to just one issue
"query": f"issue.id:{event.group.id}",
},
format="json",
)
assert response.status_code == 200, response.content
data = response.data
assert len(data) == 1
results = data["unknown"]
assert results["order"] == 0
assert [{"count": event_data["count"]}] in [attrs for time, attrs in results["data"]]
@mock.patch(
"sentry.search.events.builder.discover.raw_snql_query",
side_effect=[{"data": [{"issue.id": 1}], "meta": []}, {"data": [], "meta": []}],
)
def test_top_events_with_issue_check_query_conditions(self, mock_query):
""" "Intentionally separate from test_top_events_with_issue
This is to test against a bug where the condition for issues wasn't included and we'd be missing data for
the interval since we'd cap out the max rows. This was not caught by the previous test since the results
would still be correct given the smaller interval & lack of data
"""
with self.feature(self.enabled_features):
self.client.get(
self.url,
data={
"start": iso_format(self.day_ago),
"end": iso_format(self.day_ago + timedelta(hours=2)),
"interval": "1h",
"yAxis": "count()",
"orderby": ["-count()"],
"field": ["count()", "message", "issue"],
"topEvents": 5,
"query": "!event.type:transaction",
},
format="json",
)
assert (
Condition(Function("coalesce", [Column("group_id"), 0], "issue.id"), Op.IN, [1])
in mock_query.mock_calls[1].args[0].query.where
)
def test_top_events_with_functions(self):
with self.feature(self.enabled_features):
response = self.client.get(
self.url,
data={
"start": iso_format(self.day_ago),
"end": iso_format(self.day_ago + timedelta(hours=2)),
"interval": "1h",
"yAxis": "count()",
"orderby": ["-p99()"],
"field": ["transaction", "avg(transaction.duration)", "p99()"],
"topEvents": 5,
},
format="json",
)
data = response.data
assert response.status_code == 200, response.content
assert len(data) == 1
results = data[self.transaction.transaction]
assert results["order"] == 0
assert [attrs for time, attrs in results["data"]] == [[{"count": 3}], [{"count": 0}]]
def test_top_events_with_functions_on_different_transactions(self):
"""Transaction2 has less events, but takes longer so order should be self.transaction then transaction2"""
transaction_data = load_data("transaction")
transaction_data["start_timestamp"] = iso_format(self.day_ago + timedelta(minutes=2))
transaction_data["timestamp"] = iso_format(self.day_ago + timedelta(minutes=6))
transaction_data["transaction"] = "/foo_bar/"
transaction2 = self.store_event(transaction_data, project_id=self.project.id)
with self.feature(self.enabled_features):
response = self.client.get(
self.url,
data={
"start": iso_format(self.day_ago),
"end": iso_format(self.day_ago + timedelta(hours=2)),
"interval": "1h",
"yAxis": "count()",
"orderby": ["-p90()"],
"field": ["transaction", "avg(transaction.duration)", "p90()"],
"topEvents": 5,
},
format="json",
)
data = response.data
assert response.status_code == 200, response.content
assert len(data) == 2
results = data[self.transaction.transaction]
assert results["order"] == 1
assert [attrs for time, attrs in results["data"]] == [[{"count": 3}], [{"count": 0}]]
results = data[transaction2.transaction]
assert results["order"] == 0
assert [attrs for time, attrs in results["data"]] == [[{"count": 1}], [{"count": 0}]]
def test_top_events_with_query(self):
transaction_data = load_data("transaction")
transaction_data["start_timestamp"] = iso_format(self.day_ago + timedelta(minutes=2))
transaction_data["timestamp"] = iso_format(self.day_ago + timedelta(minutes=6))
transaction_data["transaction"] = "/foo_bar/"
self.store_event(transaction_data, project_id=self.project.id)
with self.feature(self.enabled_features):
response = self.client.get(
self.url,
data={
"start": iso_format(self.day_ago),
"end": iso_format(self.day_ago + timedelta(hours=2)),
"interval": "1h",
"yAxis": "count()",
"orderby": ["-p99()"],
"query": "transaction:/foo_bar/",
"field": ["transaction", "avg(transaction.duration)", "p99()"],
"topEvents": 5,
},
format="json",
)
data = response.data
assert response.status_code == 200, response.content
assert len(data) == 1
transaction2_data = data["/foo_bar/"]
assert transaction2_data["order"] == 0
assert [attrs for time, attrs in transaction2_data["data"]] == [
[{"count": 1}],
[{"count": 0}],
]
def test_top_events_with_negated_condition(self):
with self.feature(self.enabled_features):
response = self.client.get(
self.url,
data={
"start": iso_format(self.day_ago),
"end": iso_format(self.day_ago + timedelta(hours=2)),
"interval": "1h",
"yAxis": "count()",
"orderby": ["-count()"],
"query": f"!message:{self.events[0].message}",
"field": ["message", "count()"],
"topEvents": 5,
},
format="json",
)
data = response.data
assert response.status_code == 200, response.content
assert len(data) == 6
for index, event in enumerate(self.events[1:5]):
message = event.message or event.transaction
results = data[message]
assert results["order"] == index
assert [{"count": self.event_data[index + 1]["count"]}] in [
attrs for _, attrs in results["data"]
]
other = data["Other"]
assert other["order"] == 5
assert [{"count": 1}] in [attrs for _, attrs in other["data"]]
def test_top_events_with_epm(self):
with self.feature(self.enabled_features):
response = self.client.get(
self.url,
data={
"start": iso_format(self.day_ago),
"end": iso_format(self.day_ago + timedelta(hours=2)),
"interval": "1h",
"yAxis": "epm()",
"orderby": ["-count()"],
"field": ["message", "user.email", "count()"],
"topEvents": 5,
},
format="json",
)
data = response.data
assert response.status_code == 200, response.content
assert len(data) == 6
for index, event in enumerate(self.events[:5]):
message = event.message or event.transaction
results = data[
",".join([message, self.event_data[index]["data"]["user"].get("email", "None")])
]
assert results["order"] == index
assert [{"count": self.event_data[index]["count"] / (3600.0 / 60.0)}] in [
attrs for time, attrs in results["data"]
]
other = data["Other"]
assert other["order"] == 5
assert [{"count": 0.05}] in [attrs for _, attrs in other["data"]]
def test_top_events_with_multiple_yaxis(self):
with self.feature(self.enabled_features):
response = self.client.get(
self.url,
data={
"start": iso_format(self.day_ago),
"end": iso_format(self.day_ago + timedelta(hours=2)),
"interval": "1h",
"yAxis": ["epm()", "count()"],
"orderby": ["-count()"],
"field": ["message", "user.email", "count()"],
"topEvents": 5,
},
format="json",
)
data = response.data
assert response.status_code == 200, response.content
assert len(data) == 6
for index, event in enumerate(self.events[:5]):
message = event.message or event.transaction
results = data[
",".join([message, self.event_data[index]["data"]["user"].get("email", "None")])
]
assert results["order"] == index
assert results["epm()"]["order"] == 0
assert results["count()"]["order"] == 1
assert [{"count": self.event_data[index]["count"] / (3600.0 / 60.0)}] in [
attrs for time, attrs in results["epm()"]["data"]
]
assert [{"count": self.event_data[index]["count"]}] in [
attrs for time, attrs in results["count()"]["data"]
]
other = data["Other"]
assert other["order"] == 5
assert other["epm()"]["order"] == 0
assert other["count()"]["order"] == 1
assert [{"count": 0.05}] in [attrs for _, attrs in other["epm()"]["data"]]
assert [{"count": 3}] in [attrs for _, attrs in other["count()"]["data"]]
def test_top_events_with_boolean(self):
with self.feature(self.enabled_features):
response = self.client.get(
self.url,
data={
"start": iso_format(self.day_ago),
"end": iso_format(self.day_ago + timedelta(hours=2)),
"interval": "1h",
"yAxis": "count()",
"orderby": ["-count()"],
"field": ["count()", "message", "device.charging"],
"topEvents": 5,
},
format="json",
)
data = response.data
assert response.status_code == 200, response.content
assert len(data) == 6
for index, event in enumerate(self.events[:5]):
message = event.message or event.transaction
results = data[",".join(["False", message])]
assert results["order"] == index
assert [{"count": self.event_data[index]["count"]}] in [
attrs for time, attrs in results["data"]
]
other = data["Other"]
assert other["order"] == 5
assert [{"count": 3}] in [attrs for _, attrs in other["data"]]
def test_top_events_with_error_unhandled(self):
self.login_as(user=self.user)
project = self.create_project()
prototype = load_data("android-ndk")
prototype["event_id"] = "f" * 32
prototype["message"] = "not handled"
prototype["exception"]["values"][0]["value"] = "not handled"
prototype["exception"]["values"][0]["mechanism"]["handled"] = False
prototype["timestamp"] = iso_format(self.day_ago + timedelta(minutes=2))
self.store_event(data=prototype, project_id=project.id)
with self.feature(self.enabled_features):
response = self.client.get(
self.url,
data={
"start": iso_format(self.day_ago),
"end": iso_format(self.day_ago + timedelta(hours=2)),
"interval": "1h",
"yAxis": "count()",
"orderby": ["-count()"],
"field": ["count()", "error.unhandled"],
"topEvents": 5,
},
format="json",
)
data = response.data
assert response.status_code == 200, response.content
assert len(data) == 2
def test_top_events_with_timestamp(self):
with self.feature(self.enabled_features):
response = self.client.get(
self.url,
data={
"start": iso_format(self.day_ago),
"end": iso_format(self.day_ago + timedelta(hours=2)),
"interval": "1h",
"yAxis": "count()",
"orderby": ["-count()"],
"query": "event.type:default",
"field": ["count()", "message", "timestamp"],
"topEvents": 5,
},
format="json",
)
data = response.data
assert response.status_code == 200, response.content
assert len(data) == 6
# Transactions won't be in the results because of the query
del self.events[4]
del self.event_data[4]
for index, event in enumerate(self.events[:5]):
results = data[",".join([event.message, event.timestamp])]
assert results["order"] == index
assert [{"count": self.event_data[index]["count"]}] in [
attrs for time, attrs in results["data"]
]
other = data["Other"]
assert other["order"] == 5
assert [{"count": 1}] in [attrs for _, attrs in other["data"]]
def test_top_events_with_int(self):
with self.feature(self.enabled_features):
response = self.client.get(
self.url,
data={
"start": iso_format(self.day_ago),
"end": iso_format(self.day_ago + timedelta(hours=2)),
"interval": "1h",
"yAxis": "count()",
"orderby": ["-count()"],
"field": ["count()", "message", "transaction.duration"],
"topEvents": 5,
},
format="json",
)
data = response.data
assert response.status_code == 200, response.content
assert len(data) == 1
results = data[",".join([self.transaction.transaction, "120000"])]
assert results["order"] == 0
assert [attrs for time, attrs in results["data"]] == [[{"count": 3}], [{"count": 0}]]
def test_top_events_with_user(self):
with self.feature(self.enabled_features):
response = self.client.get(
self.url,
data={
"start": iso_format(self.day_ago),
"end": iso_format(self.day_ago + timedelta(hours=2)),
"interval": "1h",
"yAxis": "count()",
"orderby": ["-count()", "user"],
"field": ["user", "count()"],
"topEvents": 5,
},
format="json",
)
data = response.data
assert response.status_code == 200, response.content
assert len(data) == 5
assert data["email:[email protected]"]["order"] == 1
assert [attrs for time, attrs in data["email:[email protected]"]["data"]] == [
[{"count": 7}],
[{"count": 0}],
]
assert [attrs for time, attrs in data["ip:127.0.0.1"]["data"]] == [
[{"count": 3}],
[{"count": 0}],
]
def test_top_events_with_user_and_email(self):
with self.feature(self.enabled_features):
response = self.client.get(
self.url,
data={
"start": iso_format(self.day_ago),
"end": iso_format(self.day_ago + timedelta(hours=2)),
"interval": "1h",
"yAxis": "count()",
"orderby": ["-count()", "user"],
"field": ["user", "user.email", "count()"],
"topEvents": 5,
},
format="json",
)
data = response.data
assert response.status_code == 200, response.content
assert len(data) == 5
assert data["email:[email protected],[email protected]"]["order"] == 1
assert [attrs for time, attrs in data["email:[email protected],[email protected]"]["data"]] == [
[{"count": 7}],
[{"count": 0}],
]
assert [attrs for time, attrs in data["ip:127.0.0.1,None"]["data"]] == [
[{"count": 3}],
[{"count": 0}],
]
def test_top_events_with_user_display(self):
with self.feature(self.enabled_features):
response = self.client.get(
self.url,
data={
"start": iso_format(self.day_ago),
"end": iso_format(self.day_ago + timedelta(hours=2)),
"interval": "1h",
"yAxis": "count()",
"orderby": ["-count()"],
"field": ["message", "user.display", "count()"],
"topEvents": 5,
},
format="json",
)
data = response.data
assert response.status_code == 200, response.content
assert len(data) == 6
for index, event in enumerate(self.events[:5]):
message = event.message or event.transaction
user = self.event_data[index]["data"]["user"]
results = data[
",".join([message, user.get("email", None) or user.get("ip_address", "None")])
]
assert results["order"] == index
assert [{"count": self.event_data[index]["count"]}] in [
attrs for _, attrs in results["data"]
]
other = data["Other"]
assert other["order"] == 5
assert [{"count": 3}] in [attrs for _, attrs in other["data"]]
@pytest.mark.skip(reason="A query with group_id will not return transactions")
def test_top_events_none_filter(self):
"""When a field is None in one of the top events, make sure we filter by it
In this case event[4] is a transaction and has no issue
"""
with self.feature(self.enabled_features):
response = self.client.get(
self.url,
data={
"start": iso_format(self.day_ago),
"end": iso_format(self.day_ago + timedelta(hours=2)),
"interval": "1h",
"yAxis": "count()",
"orderby": ["-count()"],
"field": ["count()", "issue"],
"topEvents": 5,
},
format="json",
)
data = response.data
assert response.status_code == 200, response.content
assert len(data) == 5
for index, event in enumerate(self.events[:5]):
if event.group is None:
issue = "unknown"
else:
issue = event.group.qualified_short_id
results = data[issue]
assert results["order"] == index
assert [{"count": self.event_data[index]["count"]}] in [
attrs for time, attrs in results["data"]
]
@pytest.mark.skip(reason="Invalid query - transaction events don't have group_id field")
def test_top_events_one_field_with_none(self):
with self.feature(self.enabled_features):
response = self.client.get(
self.url,
data={
"start": iso_format(self.day_ago),
"end": iso_format(self.day_ago + timedelta(hours=2)),
"interval": "1h",
"yAxis": "count()",
"orderby": ["-count()"],
"query": "event.type:transaction",
"field": ["count()", "issue"],
"topEvents": 5,
},
format="json",
)
data = response.data
assert response.status_code == 200, response.content
assert len(data) == 1
results = data["unknown"]
assert [attrs for time, attrs in results["data"]] == [[{"count": 3}], [{"count": 0}]]
assert results["order"] == 0
def test_top_events_with_error_handled(self):
data = self.event_data[0]
data["data"]["level"] = "error"
data["data"]["exception"] = {
"values": [
{
"type": "ValidationError",
"value": "Bad request",
"mechanism": {"handled": True, "type": "generic"},
}
]
}
self.store_event(data["data"], project_id=data["project"].id)
data["data"]["exception"] = {
"values": [
{
"type": "ValidationError",
"value": "Bad request",
"mechanism": {"handled": False, "type": "generic"},
}
]
}
self.store_event(data["data"], project_id=data["project"].id)
with self.feature(self.enabled_features):
response = self.client.get(
self.url,
data={
"start": iso_format(self.day_ago),
"end": iso_format(self.day_ago + timedelta(hours=2)),
"interval": "1h",
"yAxis": "count()",
"orderby": ["-count()"],
"field": ["count()", "error.handled"],
"topEvents": 5,
"query": "!event.type:transaction",
},
format="json",
)
assert response.status_code == 200, response.content
data = response.data
assert len(data) == 2
results = data["1"]
assert [attrs for time, attrs in results["data"]] == [[{"count": 20}], [{"count": 6}]]
results = data["0"]
assert [attrs for time, attrs in results["data"]] == [[{"count": 1}], [{"count": 0}]]
def test_top_events_with_aggregate_condition(self):
with self.feature(self.enabled_features):
response = self.client.get(
self.url,
data={
"start": iso_format(self.day_ago),
"end": iso_format(self.day_ago + timedelta(hours=2)),
"interval": "1h",
"yAxis": "count()",
"orderby": ["-count()"],
"field": ["message", "count()"],
"query": "count():>4",
"topEvents": 5,
},
format="json",
)
assert response.status_code == 200, response.content
data = response.data
assert len(data) == 3
for index, event in enumerate(self.events[:3]):
message = event.message or event.transaction
results = data[message]
assert results["order"] == index
assert [{"count": self.event_data[index]["count"]}] in [
attrs for time, attrs in results["data"]
]
@pytest.mark.xfail(reason="There's only 2 rows total, which mean there shouldn't be other")
def test_top_events_with_to_other(self):
version = "version -@'\" 1.2,3+(4)"
version_escaped = "version -@'\\\" 1.2,3+(4)"
# every symbol is replaced with a underscore to make the alias
version_alias = "version_______1_2_3__4_"
# add an event in the current release
event = self.event_data[0]
event_data = event["data"].copy()
event_data["event_id"] = uuid4().hex
event_data["release"] = version
self.store_event(event_data, project_id=event["project"].id)
with self.feature(self.enabled_features):
response = self.client.get(
self.url,
data={
"start": iso_format(self.day_ago),
"end": iso_format(self.day_ago + timedelta(hours=2)),
"interval": "1h",
"yAxis": "count()",
# the double underscores around the version alias is because of a comma and quote
"orderby": [f"-to_other_release__{version_alias}__others_current"],
"field": [
"count()",
f'to_other(release,"{version_escaped}",others,current)',
],
"topEvents": 2,
},
format="json",
)
assert response.status_code == 200, response.content
data = response.data
assert len(data) == 2
current = data["current"]
assert current["order"] == 1
assert sum(attrs[0]["count"] for _, attrs in current["data"]) == 1
others = data["others"]
assert others["order"] == 0
assert sum(attrs[0]["count"] for _, attrs in others["data"]) == sum(
event_data["count"] for event_data in self.event_data
)
def test_top_events_with_equations(self):
with self.feature(self.enabled_features):
response = self.client.get(
self.url,
data={
"start": iso_format(self.day_ago),
"end": iso_format(self.day_ago + timedelta(hours=2)),
"interval": "1h",
"yAxis": "equation|count() / 100",
"orderby": ["-count()"],
"field": ["count()", "message", "user.email", "equation|count() / 100"],
"topEvents": 5,
},
format="json",
)
data = response.data
assert response.status_code == 200, response.content
assert len(data) == 6
for index, event in enumerate(self.events[:5]):
message = event.message or event.transaction
results = data[
",".join([message, self.event_data[index]["data"]["user"].get("email", "None")])
]
assert results["order"] == index
assert [{"count": self.event_data[index]["count"] / 100}] in [
attrs for time, attrs in results["data"]
]
other = data["Other"]
assert other["order"] == 5
assert [{"count": 0.03}] in [attrs for _, attrs in other["data"]]
@mock.patch("sentry.snuba.discover.bulk_snql_query", return_value=[{"data": [], "meta": []}])
@mock.patch(
"sentry.search.events.builder.discover.raw_snql_query",
return_value={"data": [], "meta": []},
)
def test_invalid_interval(self, mock_raw_query, mock_bulk_query):
with self.feature(self.enabled_features):
response = self.client.get(
self.url,
format="json",
data={
"end": iso_format(before_now()),
# 7,200 points for each event
"start": iso_format(before_now(seconds=7200)),
"field": ["count()", "issue"],
"query": "",
"interval": "1s",
"yAxis": "count()",
},
)
assert response.status_code == 200
assert mock_bulk_query.call_count == 1
with self.feature(self.enabled_features):
response = self.client.get(
self.url,
format="json",
data={
"end": iso_format(before_now()),
"start": iso_format(before_now(seconds=7200)),
"field": ["count()", "issue"],
"query": "",
"interval": "1s",
"yAxis": "count()",
# 7,200 points for each event * 2, should error
"topEvents": 2,
},
)
assert response.status_code == 200
assert mock_raw_query.call_count == 2
# Should've reset to the default for between 1 and 24h
assert mock_raw_query.mock_calls[1].args[0].query.granularity.granularity == 300
with self.feature(self.enabled_features):
response = self.client.get(
self.url,
format="json",
data={
"end": iso_format(before_now()),
# 1999 points * 5 events should just be enough to not error
"start": iso_format(before_now(seconds=1999)),
"field": ["count()", "issue"],
"query": "",
"interval": "1s",
"yAxis": "count()",
"topEvents": 5,
},
)
assert response.status_code == 200
assert mock_raw_query.call_count == 4
# Should've left the interval alone since we're just below the limit
assert mock_raw_query.mock_calls[3].args[0].query.granularity.granularity == 1
with self.feature(self.enabled_features):
response = self.client.get(
self.url,
format="json",
data={
"end": iso_format(before_now()),
"start": iso_format(before_now(hours=24)),
"field": ["count()", "issue"],
"query": "",
"interval": "0d",
"yAxis": "count()",
"topEvents": 5,
},
)
assert response.status_code == 200
assert mock_raw_query.call_count == 6
# Should've default to 24h's default of 5m
assert mock_raw_query.mock_calls[5].args[0].query.granularity.granularity == 300
def test_top_events_timestamp_fields(self):
with self.feature(self.enabled_features):
response = self.client.get(
self.url,
format="json",
data={
"start": iso_format(self.day_ago),
"end": iso_format(self.day_ago + timedelta(hours=2)),
"interval": "1h",
"yAxis": "count()",
"orderby": ["-count()"],
"field": ["count()", "timestamp", "timestamp.to_hour", "timestamp.to_day"],
"topEvents": 5,
},
)
assert response.status_code == 200
data = response.data
assert len(data) == 3
# these are the timestamps corresponding to the events stored
timestamps = [
self.day_ago + timedelta(minutes=2),
self.day_ago + timedelta(hours=1, minutes=2),
self.day_ago + timedelta(minutes=4),
]
timestamp_hours = [timestamp.replace(minute=0, second=0) for timestamp in timestamps]
timestamp_days = [timestamp.replace(hour=0, minute=0, second=0) for timestamp in timestamps]
for ts, ts_hr, ts_day in zip(timestamps, timestamp_hours, timestamp_days):
key = f"{iso_format(ts)}+00:00,{iso_format(ts_day)}+00:00,{iso_format(ts_hr)}+00:00"
count = sum(
e["count"] for e in self.event_data if e["data"]["timestamp"] == iso_format(ts)
)
results = data[key]
assert [{"count": count}] in [attrs for time, attrs in results["data"]]
def test_top_events_other_with_matching_columns(self):
with self.feature(self.enabled_features):
response = self.client.get(
self.url,
data={
"start": iso_format(self.day_ago),
"end": iso_format(self.day_ago + timedelta(hours=2)),
"interval": "1h",
"yAxis": "count()",
"orderby": ["-count()"],
"field": ["count()", "tags[shared-tag]", "message"],
"topEvents": 5,
},
format="json",
)
data = response.data
assert response.status_code == 200, response.content
assert len(data) == 6
for index, event in enumerate(self.events[:5]):
message = event.message or event.transaction
results = data[",".join([message, "yup"])]
assert results["order"] == index
assert [{"count": self.event_data[index]["count"]}] in [
attrs for _, attrs in results["data"]
]
other = data["Other"]
assert other["order"] == 5
assert [{"count": 3}] in [attrs for _, attrs in other["data"]]
def test_top_events_with_field_overlapping_other_key(self):
transaction_data = load_data("transaction")
transaction_data["start_timestamp"] = iso_format(self.day_ago + timedelta(minutes=2))
transaction_data["timestamp"] = iso_format(self.day_ago + timedelta(minutes=6))
transaction_data["transaction"] = OTHER_KEY
for i in range(5):
data = transaction_data.copy()
data["event_id"] = "ab" + f"{i}" * 30
data["contexts"]["trace"]["span_id"] = "ab" + f"{i}" * 14
self.store_event(data, project_id=self.project.id)
with self.feature(self.enabled_features):
response = self.client.get(
self.url,
data={
"start": iso_format(self.day_ago),
"end": iso_format(self.day_ago + timedelta(hours=2)),
"interval": "1h",
"yAxis": "count()",
"orderby": ["-count()"],
"field": ["count()", "message"],
"topEvents": 5,
},
format="json",
)
data = response.data
assert response.status_code == 200, response.content
assert len(data) == 6
assert f"{OTHER_KEY} (message)" in data
results = data[f"{OTHER_KEY} (message)"]
assert [{"count": 5}] in [attrs for _, attrs in results["data"]]
other = data["Other"]
assert other["order"] == 5
assert [{"count": 4}] in [attrs for _, attrs in other["data"]]
def test_top_events_can_exclude_other_series(self):
with self.feature(self.enabled_features):
response = self.client.get(
self.url,
data={
"start": iso_format(self.day_ago),
"end": iso_format(self.day_ago + timedelta(hours=2)),
"interval": "1h",
"yAxis": "count()",
"orderby": ["count()"],
"field": ["count()", "message"],
"topEvents": 5,
"excludeOther": "1",
},
format="json",
)
data = response.data
assert response.status_code == 200, response.content
assert len(data) == 5
assert "Other" not in response.data
@pytest.mark.xfail(reason="Started failing on ClickHouse 21.8")
def test_top_events_with_equation_including_unselected_fields_passes_field_validation(self):
with self.feature(self.enabled_features):
response = self.client.get(
self.url,
data={
"start": iso_format(self.day_ago),
"end": iso_format(self.day_ago + timedelta(hours=2)),
"interval": "1h",
"yAxis": "count()",
"orderby": ["-equation[0]"],
"field": ["count()", "message", "equation|count_unique(user) * 2"],
"topEvents": 5,
},
format="json",
)
data = response.data
assert response.status_code == 200, response.content
assert len(data) == 6
other = data["Other"]
assert other["order"] == 5
assert [{"count": 4}] in [attrs for _, attrs in other["data"]]
def test_top_events_boolean_condition_and_project_field(self):
with self.feature(self.enabled_features):
response = self.client.get(
self.url,
data={
"start": iso_format(self.day_ago),
"end": iso_format(self.day_ago + timedelta(hours=2)),
"interval": "1h",
"yAxis": "count()",
"orderby": ["-count()"],
"field": ["project", "count()"],
"topEvents": 5,
"query": "event.type:transaction (transaction:*a OR transaction:b*)",
},
format="json",
)
assert response.status_code == 200
@region_silo_test
class OrganizationEventsStatsProfileFunctionDatasetEndpointTest(
APITestCase, ProfilesSnubaTestCase, SearchIssueTestMixin
):
endpoint = "sentry-api-0-organization-events-stats"
def setUp(self):
super().setUp()
self.login_as(user=self.user)
self.one_day_ago = before_now(days=1).replace(hour=10, minute=0, second=0, microsecond=0)
self.two_days_ago = before_now(days=2).replace(hour=10, minute=0, second=0, microsecond=0)
self.three_days_ago = before_now(days=3).replace(hour=10, minute=0, second=0, microsecond=0)
self.project = self.create_project()
self.url = reverse(
"sentry-api-0-organization-events-stats",
kwargs={"organization_slug": self.project.organization.slug},
)
def test_functions_dataset_simple(self):
self.store_functions(
[
{
"self_times_ns": [100 for _ in range(100)],
"package": "foo",
"function": "bar",
"in_app": True,
},
],
project=self.project,
timestamp=self.two_days_ago,
)
data = {
"dataset": "profileFunctions",
"start": iso_format(self.three_days_ago),
"end": iso_format(self.one_day_ago),
"interval": "1d",
"yAxis": ["cpm()", "p95(function.duration)"],
}
response = self.client.get(self.url, data=data, format="json")
assert response.status_code == 200, response.content
assert sum(row[1][0]["count"] for row in response.data["cpm()"]["data"]) == pytest.approx(
100 / ((self.one_day_ago - self.three_days_ago).total_seconds() / 60), rel=1e-3
)
assert any(
row[1][0]["count"] > 0 for row in response.data["p95(function.duration)"]["data"]
)
for y_axis in ["cpm()", "p95(function.duration)"]:
assert response.data[y_axis]["meta"]["fields"] == {
"time": "date",
"cpm": "number",
"p95_function_duration": "duration",
}
assert response.data[y_axis]["meta"]["units"] == {
"time": None,
"cpm": None,
"p95_function_duration": "nanosecond",
}
@region_silo_test
class OrganizationEventsStatsTopNEventsProfileFunctionDatasetEndpointTest(
APITestCase, ProfilesSnubaTestCase, SearchIssueTestMixin
):
endpoint = "sentry-api-0-organization-events-stats"
def setUp(self):
super().setUp()
self.login_as(user=self.user)
self.one_day_ago = before_now(days=1).replace(hour=10, minute=0, second=0, microsecond=0)
self.two_days_ago = before_now(days=2).replace(hour=10, minute=0, second=0, microsecond=0)
self.three_days_ago = before_now(days=3).replace(hour=10, minute=0, second=0, microsecond=0)
self.project = self.create_project()
self.url = reverse(
"sentry-api-0-organization-events-stats",
kwargs={"organization_slug": self.project.organization.slug},
)
def test_functions_dataset_simple(self):
self.store_functions(
[
{
"self_times_ns": [100 for _ in range(100)],
"package": "pkg",
"function": "foo",
"in_app": True,
},
{
"self_times_ns": [100 for _ in range(10)],
"package": "pkg",
"function": "bar",
"in_app": True,
},
],
project=self.project,
timestamp=self.two_days_ago,
)
data = {
"dataset": "profileFunctions",
"field": ["function", "count()"],
"start": iso_format(self.three_days_ago),
"end": iso_format(self.one_day_ago),
"yAxis": ["cpm()", "p95(function.duration)"],
"interval": "1d",
"topEvents": 2,
"excludeOther": 1,
}
response = self.client.get(self.url, data=data, format="json")
assert response.status_code == 200, response.content
assert sum(
row[1][0]["count"] for row in response.data["foo"]["cpm()"]["data"]
) == pytest.approx(
100 / ((self.one_day_ago - self.three_days_ago).total_seconds() / 60), rel=1e-3
)
assert sum(
row[1][0]["count"] for row in response.data["bar"]["cpm()"]["data"]
) == pytest.approx(
10 / ((self.one_day_ago - self.three_days_ago).total_seconds() / 60), rel=1e-3
)
assert any(
row[1][0]["count"] > 0 for row in response.data["foo"]["p95(function.duration)"]["data"]
)
assert any(
row[1][0]["count"] > 0 for row in response.data["bar"]["p95(function.duration)"]["data"]
)