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fix/genera
...
srikanth/t
| Author | SHA1 | Date | |
|---|---|---|---|
|
|
fd15b85dde |
@@ -11,8 +11,6 @@ import axios, { AxiosError, AxiosRequestConfig } from 'axios';
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// generated API Instance
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const generatedAPIAxiosInstance = axios.create({
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baseURL: ENVIRONMENT.baseURL,
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// The backend binds repeated keys (`states=a&states=b`); axios' default sends `states[]=`.
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paramsSerializer: { indexes: null },
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});
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let generatedAPIQueryKeyHeaderContext: Record<string, unknown> | undefined;
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@@ -1,10 +1,12 @@
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import { useMemo } from 'react';
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import { useListRulesV3 } from 'api/generated/services/rules';
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import {
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type ListRulesV3200,
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type ListRulesV3Params,
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RuletypesAlertStateDTO,
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type RuletypesListableRuleDTO,
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} from 'api/generated/services/sigNoz.schemas';
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import { GeneratedAPIInstance } from 'api/generatedAPIInstance';
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const HOME_ALERT_RULES_LIMIT = 5;
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@@ -21,7 +23,18 @@ interface HomeAlertRules {
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export function useHomeAlertRules(): HomeAlertRules {
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const firing = useListRulesV3(FIRING_RULES_PARAMS, {
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query: { cacheTime: 0 },
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query: {
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cacheTime: 0,
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// The backend binds repeated `states=` keys; axios' default sends `states[]=`.
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queryFn: ({ signal }) =>
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GeneratedAPIInstance<ListRulesV3200>({
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url: '/api/v3/rules',
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method: 'GET',
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params: FIRING_RULES_PARAMS,
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paramsSerializer: { indexes: null },
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signal,
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}),
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},
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});
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const firingRules = firing.data?.data.rules;
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const latest = useListRulesV3(
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@@ -3,11 +3,13 @@ import logEvent from 'api/common/logEvent';
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import { convertToApiError } from 'api/ErrorResponseHandlerForGeneratedAPIs';
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import { useListRulesV3 } from 'api/generated/services/rules';
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import type {
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ListRulesV3200,
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ListRulesV3Params,
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RenderErrorResponseDTO,
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RuletypesLabelPairDTO,
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} from 'api/generated/services/sigNoz.schemas';
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import type { AxiosError } from 'axios';
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import { GeneratedAPIInstance } from 'api/generatedAPIInstance';
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import { isUndefined } from 'lodash-es';
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import type { AlertRule } from './types';
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@@ -33,7 +35,18 @@ export function useAlertRulesData(
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const hasLoggedEvent = useRef(false);
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const rulesResponse = useListRulesV3(params, {
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query: { keepPreviousData: true },
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query: {
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keepPreviousData: true,
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// The backend binds repeated `states=` keys; axios' default sends `states[]=`.
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queryFn: ({ signal }) =>
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GeneratedAPIInstance<ListRulesV3200>({
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url: '/api/v3/rules',
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method: 'GET',
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params,
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paramsSerializer: { indexes: null },
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signal,
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}),
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},
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});
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const rules = useMemo(
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14
tests/fixtures/querier.py
vendored
14
tests/fixtures/querier.py
vendored
@@ -173,7 +173,7 @@ def make_query_request(
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end_ms: int,
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queries: list[dict],
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*,
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request_type: str = RequestType.TIME_SERIES,
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request_type: str,
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format_options: dict | None = None,
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variables: dict | None = None,
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no_cache: bool = True,
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@@ -209,7 +209,7 @@ def make_preview_query_request(
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end_ms: int,
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queries: list[dict],
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*,
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request_type: str = RequestType.TIME_SERIES,
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request_type: str,
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format_options: dict | None = None,
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variables: dict | None = None,
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verbose: bool = True,
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@@ -282,6 +282,7 @@ def query_metric_values( # pylint: disable=too-many-arguments,too-many-position
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start_ms=start_epoch * 1000,
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end_ms=end_epoch * 1000,
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queries=[build_builder_query("A", metric_name, time_agg, space_agg, step_interval=step_interval)],
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request_type=RequestType.TIME_SERIES,
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)
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assert response.status_code == HTTPStatus.OK, response.text
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return sorted(get_series_values(response.json(), "A"), key=lambda v: v["timestamp"])
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@@ -679,7 +680,7 @@ def assert_raw_row_subset(
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assert expected.items() <= data.items(), f"expected subset {expected}, got data {data}"
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def build_scalar_query(
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def build_aggregation_query(
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name: str,
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signal: str,
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aggregations: list[dict],
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@@ -768,7 +769,7 @@ def build_heatmap_query(
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return {"type": "builder_query", "spec": spec}
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def build_traces_scalar_query(
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def build_traces_aggregation_query(
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aggregations: list[dict],
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*,
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name: str = "A",
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@@ -781,8 +782,7 @@ def build_traces_scalar_query(
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disabled: bool = False,
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functions: list[dict] | None = None,
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) -> dict:
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"""build_scalar_query pinned to the traces signal, with name defaulting to 'A'."""
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return build_scalar_query(
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return build_aggregation_query(
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name=name,
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signal="traces",
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aggregations=aggregations,
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@@ -1321,7 +1321,7 @@ def run_query_case(signoz: types.SigNoz, token: str, now: datetime, case: dict[s
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aggregations = aggregation
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else:
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aggregations = []
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query = build_scalar_query(
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query = build_aggregation_query(
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name=case["name"],
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signal="logs",
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aggregations=aggregations,
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@@ -10,8 +10,8 @@ from fixtures.auth import USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD
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from fixtures.querier import (
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BuilderQuery,
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build_aggregation,
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build_aggregation_query,
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build_order_by,
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build_scalar_query,
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make_query_request,
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)
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@@ -361,7 +361,7 @@ def test_audit_scalar_count_failures(
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start_ms=int((now - timedelta(seconds=30)).timestamp() * 1000),
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end_ms=int(now.timestamp() * 1000),
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queries=[
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build_scalar_query(
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build_aggregation_query(
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name="A",
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signal="logs",
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source="audit",
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@@ -6,6 +6,7 @@ from fixtures import types
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from fixtures.auth import USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD
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from fixtures.metricreduction import build_recent_gauge_data
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from fixtures.querier import (
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RequestType,
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aligned_epoch,
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build_builder_query,
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get_all_series,
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@@ -59,6 +60,7 @@ def test_recent_queries_group_by_full_labels(
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start_ms=base_epoch * 1000,
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end_ms=(base_epoch + MINUTES * 60) * 1000,
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queries=[build_builder_query("A", metric_name, "sum", "sum", step_interval=300, group_by=["service"])],
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request_type=RequestType.TIME_SERIES,
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)
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assert response.status_code == HTTPStatus.OK, response.text
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@@ -8,7 +8,7 @@ from fixtures import types
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from fixtures.auth import USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD
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from fixtures.metrics import Metrics
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from fixtures.promqltestcorpus import ingest_promqltest_corpus
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from fixtures.querier import get_all_series, make_query_request
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from fixtures.querier import RequestType, get_all_series, make_query_request
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TESTDATA_DIR = os.path.join(os.path.dirname(__file__), "..", "..", "testdata")
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# The corpus (see fixtures/promqltestcorpus.py) is frozen from Prometheus' own
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@@ -57,7 +57,7 @@ def test_upstream_promqltest_corpus(
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}
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case_id = f"{case['source']}[{case['variant']}]"
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response = make_query_request(signoz, token, req_start_ms, end_ms, [query])
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response = make_query_request(signoz, token, req_start_ms, end_ms, [query], request_type=RequestType.TIME_SERIES)
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if response.status_code != HTTPStatus.OK:
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failures.append(f"{case_id}: HTTP {response.status_code} for {case['expr']!r}: {response.text[:200]}")
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continue
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@@ -5,7 +5,7 @@ from http import HTTPStatus
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from fixtures import types
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from fixtures.auth import USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD
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from fixtures.metrics import Metrics
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from fixtures.querier import get_all_series, make_query_request
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from fixtures.querier import RequestType, get_all_series, make_query_request
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METRIC = "probe_requests"
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EVOLVED_METRIC = "probe_schema_evolution"
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@@ -74,7 +74,7 @@ def test_identical_labelsets_merge_and_grouping(
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def run(promql: str, start_ms: int, end_ms: int) -> list[tuple[dict, list]]:
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q = {"type": "promql", "spec": {"name": "A", "query": promql, "step": 60, "skipStepAlignment": True}}
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resp = make_query_request(signoz, token, start_ms, end_ms, [q])
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resp = make_query_request(signoz, token, start_ms, end_ms, [q], request_type=RequestType.TIME_SERIES)
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assert resp.status_code == HTTPStatus.OK, f"{promql!r}: {resp.text[:300]}"
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out = []
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for series in get_all_series(resp.json(), "A") or []:
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@@ -6,7 +6,7 @@ from uuid import uuid4
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from fixtures import types
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from fixtures.auth import USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD
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from fixtures.metrics import Metrics
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from fixtures.querier import get_all_series, make_query_request
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from fixtures.querier import RequestType, get_all_series, make_query_request
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HOUR_MS = 3_600_000
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SAMPLE_INTERVAL_MS = 60_000
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@@ -40,7 +40,7 @@ def test_promql_ratio_with_zero_denominator_is_dropped_and_cached(
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def run() -> tuple[dict[str, dict[int, object]], int]:
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query = {"type": "promql", "spec": {"name": "A", "query": promql}}
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response = make_query_request(signoz, token, start_ms, end_ms, [query], no_cache=False)
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response = make_query_request(signoz, token, start_ms, end_ms, [query], no_cache=False, request_type=RequestType.TIME_SERIES)
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assert response.status_code == HTTPStatus.OK, response.text[:300]
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body = response.json()
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out: dict[str, dict[int, object]] = {}
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@@ -6,7 +6,7 @@ from uuid import uuid4
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from fixtures import types
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from fixtures.auth import USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD
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from fixtures.metrics import Metrics
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from fixtures.querier import get_all_series, make_query_request
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from fixtures.querier import RequestType, get_all_series, make_query_request
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MINUTE_MS = 60_000
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@@ -41,7 +41,7 @@ def test_promql_subquery_without_step_evaluates(
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token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
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query = {"type": "promql", "spec": {"name": "A", "query": f"max_over_time({metric}[5m:])", "skipStepAlignment": True}}
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response = make_query_request(signoz, token, start_ms, end_ms, [query])
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response = make_query_request(signoz, token, start_ms, end_ms, [query], request_type=RequestType.TIME_SERIES)
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assert response.status_code == HTTPStatus.OK, response.text[:300]
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series = get_all_series(response.json(), "A")
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assert series, "the subquery must return the inserted series"
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@@ -55,5 +55,6 @@ def test_promql_subquery_without_step_evaluates(
|
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start_ms,
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end_ms,
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[{"type": "promql", "spec": {"name": "A", "query": metric, "skipStepAlignment": True}}],
|
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request_type=RequestType.TIME_SERIES,
|
||||
)
|
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assert response.status_code == HTTPStatus.OK, response.text[:300]
|
||||
|
||||
@@ -8,7 +8,7 @@ import requests
|
||||
from fixtures import types
|
||||
from fixtures.auth import USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD
|
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from fixtures.metrics import Metrics
|
||||
from fixtures.querier import get_all_series, make_query_request
|
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from fixtures.querier import RequestType, get_all_series, make_query_request
|
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|
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MINUTE_MS = 60_000
|
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QUERY_TIMEOUT = 30
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@@ -73,7 +73,7 @@ def test_or_arms_merge_under_subquery_name_drop(
|
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|
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# query_range over the same grid must agree point for point.
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spec = {"name": "A", "query": query, "step": 300, "skipStepAlignment": True}
|
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response = make_query_request(signoz, token, start_ms, end_ms, [{"type": "promql", "spec": spec}])
|
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response = make_query_request(signoz, token, start_ms, end_ms, [{"type": "promql", "spec": spec}], request_type=RequestType.TIME_SERIES)
|
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assert response.status_code == HTTPStatus.OK, response.text[:300]
|
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series = get_all_series(response.json(), "A")
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assert len(series) == 1, f"both or arms must merge into one series: {series}"
|
||||
|
||||
@@ -7,10 +7,10 @@ from fixtures.auth import USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD
|
||||
from fixtures.logs import Logs
|
||||
from fixtures.querier import (
|
||||
build_aggregation,
|
||||
build_aggregation_query,
|
||||
build_group_by_field,
|
||||
build_order_by,
|
||||
build_raw_query,
|
||||
build_scalar_query,
|
||||
get_rows,
|
||||
get_scalar_table_data,
|
||||
make_query_request,
|
||||
@@ -136,7 +136,7 @@ def test_non_body_filter_groupby_aggregation(
|
||||
step_interval=60,
|
||||
)
|
||||
else:
|
||||
query = build_scalar_query(
|
||||
query = build_aggregation_query(
|
||||
name=case["name"],
|
||||
signal="logs",
|
||||
aggregations=[build_aggregation(case["aggregation"])],
|
||||
@@ -233,7 +233,7 @@ def test_non_body_orderby(
|
||||
step_interval=60,
|
||||
)
|
||||
else:
|
||||
query = build_scalar_query(
|
||||
query = build_aggregation_query(
|
||||
name=case["name"],
|
||||
signal="logs",
|
||||
aggregations=[build_aggregation(case["aggregation"])],
|
||||
|
||||
@@ -12,9 +12,9 @@ from fixtures.logs import Logs
|
||||
from fixtures.querier import (
|
||||
RequestType,
|
||||
build_aggregation,
|
||||
build_aggregation_query,
|
||||
build_group_by_field,
|
||||
build_raw_query,
|
||||
build_scalar_query,
|
||||
get_rows,
|
||||
get_scalar_table_data,
|
||||
make_query_request,
|
||||
@@ -68,7 +68,7 @@ def test_json_body_unknown_key_collision_groupby(
|
||||
token,
|
||||
now,
|
||||
[
|
||||
build_scalar_query(
|
||||
build_aggregation_query(
|
||||
"A",
|
||||
"logs",
|
||||
[build_aggregation("count()")],
|
||||
@@ -175,7 +175,7 @@ def test_json_body_unknown_key_attribute_parity(
|
||||
token,
|
||||
now,
|
||||
[
|
||||
build_scalar_query(
|
||||
build_aggregation_query(
|
||||
"A",
|
||||
"logs",
|
||||
[build_aggregation("count()")],
|
||||
@@ -225,7 +225,7 @@ def test_json_body_unknown_key_aggregation_over_body(
|
||||
token,
|
||||
now,
|
||||
[
|
||||
build_scalar_query(
|
||||
build_aggregation_query(
|
||||
"A",
|
||||
"logs",
|
||||
[build_aggregation("count(field)", "cnt"), build_aggregation("count_distinct(field)", "distinct")],
|
||||
@@ -291,7 +291,7 @@ def test_json_body_unknown_key_body_path_parity(
|
||||
token,
|
||||
now,
|
||||
[
|
||||
build_scalar_query(
|
||||
build_aggregation_query(
|
||||
"A",
|
||||
"logs",
|
||||
[build_aggregation("count()")],
|
||||
@@ -308,7 +308,7 @@ def test_json_body_unknown_key_body_path_parity(
|
||||
token,
|
||||
now,
|
||||
[
|
||||
build_scalar_query(
|
||||
build_aggregation_query(
|
||||
"A",
|
||||
"logs",
|
||||
[build_aggregation(f"count_distinct({field})")],
|
||||
|
||||
@@ -8,7 +8,7 @@ import pytest
|
||||
from fixtures import types
|
||||
from fixtures.auth import USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD
|
||||
from fixtures.logs import Logs
|
||||
from fixtures.querier import build_aggregation, build_raw_query, build_scalar_query, get_rows, get_scalar_table_data, make_query_request
|
||||
from fixtures.querier import build_aggregation, build_aggregation_query, build_raw_query, get_rows, get_scalar_table_data, make_query_request
|
||||
|
||||
SERVICE = "quoting-json-svc"
|
||||
|
||||
@@ -55,7 +55,7 @@ def test_body_json_group_by_and_select_hostile_key(
|
||||
token,
|
||||
start_ms,
|
||||
end_ms,
|
||||
[build_scalar_query("A", "logs", [build_aggregation("count()")], group_by=[field], order=[{"key": {"name": key}, "direction": "asc"}], filter_expression=f"service.name = '{SERVICE}'")],
|
||||
[build_aggregation_query("A", "logs", [build_aggregation("count()")], group_by=[field], order=[{"key": {"name": key}, "direction": "asc"}], filter_expression=f"service.name = '{SERVICE}'")],
|
||||
request_type="scalar",
|
||||
)
|
||||
assert response.status_code == HTTPStatus.OK, response.text
|
||||
|
||||
@@ -118,7 +118,7 @@ INVALID_REGEXP = "write the pattern in RE2 syntax, which has no lookaround or ba
|
||||
id="regexp_in_sql",
|
||||
),
|
||||
pytest.param(
|
||||
querier.build_scalar_query("A", "logs", [querier.build_aggregation("count()")], filter_expression="body REGEXP '(?=a)'"),
|
||||
querier.build_aggregation_query("A", "logs", [querier.build_aggregation("count()")], filter_expression="body REGEXP '(?=a)'"),
|
||||
"invalid_regexp",
|
||||
INVALID_REGEXP,
|
||||
id="regexp_in_filter",
|
||||
|
||||
@@ -195,6 +195,7 @@ def test_metrics_negative_operators_include_keyless_series(
|
||||
filter_expression=expression,
|
||||
)
|
||||
],
|
||||
request_type=RequestType.TIME_SERIES,
|
||||
)
|
||||
assert response.status_code == HTTPStatus.OK, response.text
|
||||
|
||||
|
||||
@@ -9,10 +9,11 @@ from fixtures.auth import USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD
|
||||
from fixtures.logs import Logs
|
||||
from fixtures.metrics import Metrics
|
||||
from fixtures.querier import (
|
||||
RequestType,
|
||||
build_aggregation,
|
||||
build_aggregation_query,
|
||||
build_builder_query,
|
||||
build_raw_query,
|
||||
build_scalar_query,
|
||||
get_all_series,
|
||||
get_rows,
|
||||
get_scalar_table_data,
|
||||
@@ -66,7 +67,7 @@ def test_logs_group_by_order_by_and_select_hostile_attribute(
|
||||
token,
|
||||
start_ms,
|
||||
end_ms,
|
||||
[build_scalar_query("A", "logs", [build_aggregation("count()")], group_by=[field], filter_expression=f"service.name = '{SERVICE}'")],
|
||||
[build_aggregation_query("A", "logs", [build_aggregation("count()")], group_by=[field], filter_expression=f"service.name = '{SERVICE}'")],
|
||||
request_type="scalar",
|
||||
)
|
||||
assert response.status_code == HTTPStatus.OK, response.text
|
||||
@@ -78,7 +79,7 @@ def test_logs_group_by_order_by_and_select_hostile_attribute(
|
||||
token,
|
||||
start_ms,
|
||||
end_ms,
|
||||
[build_scalar_query("A", "logs", [build_aggregation("count()")], group_by=[field], order=[{"key": {"name": key}, "direction": "asc"}], filter_expression=f"service.name = '{SERVICE}'")],
|
||||
[build_aggregation_query("A", "logs", [build_aggregation("count()")], group_by=[field], order=[{"key": {"name": key}, "direction": "asc"}], filter_expression=f"service.name = '{SERVICE}'")],
|
||||
request_type="scalar",
|
||||
)
|
||||
assert response.status_code == HTTPStatus.OK, response.text
|
||||
@@ -170,7 +171,7 @@ def test_logs_aggregation_with_dollar_in_key(
|
||||
token,
|
||||
start_ms,
|
||||
end_ms,
|
||||
[build_scalar_query("A", "logs", [build_aggregation(expression)], filter_expression=f"service.name = '{SERVICE}'")],
|
||||
[build_aggregation_query("A", "logs", [build_aggregation(expression)], filter_expression=f"service.name = '{SERVICE}'")],
|
||||
request_type="scalar",
|
||||
)
|
||||
assert response.status_code == HTTPStatus.OK, f"{expression}: {response.text}"
|
||||
@@ -201,7 +202,7 @@ def test_logs_group_by_hostile_resource_attribute(
|
||||
token,
|
||||
int((now - timedelta(minutes=2)).timestamp() * 1000),
|
||||
int((now + timedelta(seconds=1)).timestamp() * 1000),
|
||||
[build_scalar_query("A", "logs", [build_aggregation("count()")], group_by=[{"name": key, "fieldContext": "resource", "fieldDataType": "string"}], filter_expression=f"service.name = '{SERVICE}'")],
|
||||
[build_aggregation_query("A", "logs", [build_aggregation("count()")], group_by=[{"name": key, "fieldContext": "resource", "fieldDataType": "string"}], filter_expression=f"service.name = '{SERVICE}'")],
|
||||
request_type="scalar",
|
||||
)
|
||||
assert response.status_code == HTTPStatus.OK, response.text
|
||||
@@ -236,7 +237,7 @@ def test_traces_group_by_and_select_hostile_attribute(
|
||||
token,
|
||||
start_ms,
|
||||
end_ms,
|
||||
[build_scalar_query("A", "traces", [build_aggregation("count()")], group_by=[field], filter_expression=f"service.name = '{SERVICE}'")],
|
||||
[build_aggregation_query("A", "traces", [build_aggregation("count()")], group_by=[field], filter_expression=f"service.name = '{SERVICE}'")],
|
||||
request_type="scalar",
|
||||
)
|
||||
assert response.status_code == HTTPStatus.OK, response.text
|
||||
@@ -274,6 +275,7 @@ def test_metrics_group_by_hostile_label(
|
||||
int((now - timedelta(minutes=5)).timestamp() * 1000),
|
||||
int((now + timedelta(minutes=1)).timestamp() * 1000),
|
||||
[build_builder_query("A", metric, "avg", "avg", group_by=[label])],
|
||||
request_type=RequestType.TIME_SERIES,
|
||||
)
|
||||
assert response.status_code == HTTPStatus.OK, response.text
|
||||
labels = {tuple(sorted((entry["key"]["name"], entry["value"]) for entry in item.get("labels", []))) for item in get_all_series(response.json(), "A")}
|
||||
|
||||
@@ -12,6 +12,7 @@ from fixtures.querier import (
|
||||
Aggregation,
|
||||
BuilderQuery,
|
||||
MetricAggregation,
|
||||
RequestType,
|
||||
get_all_warnings,
|
||||
get_error_message,
|
||||
get_series_values,
|
||||
@@ -47,6 +48,7 @@ def test_time_range_rejected(
|
||||
start_ms=start_ms,
|
||||
end_ms=end_ms,
|
||||
queries=[BuilderQuery(signal="logs", aggregations=[Aggregation(expression="count()")], step_interval=60).to_dict()],
|
||||
request_type=RequestType.TIME_SERIES,
|
||||
)
|
||||
|
||||
assert response.status_code == HTTPStatus.BAD_REQUEST
|
||||
@@ -79,6 +81,7 @@ def test_two_year_logs_timeseries_step_clamped(
|
||||
).to_dict()
|
||||
],
|
||||
format_options={"formatTableResultForUI": False, "fillGaps": True},
|
||||
request_type=RequestType.TIME_SERIES,
|
||||
)
|
||||
|
||||
assert response.status_code == HTTPStatus.OK
|
||||
@@ -117,6 +120,7 @@ def test_two_year_traces_timeseries_step_clamped(
|
||||
).to_dict()
|
||||
],
|
||||
format_options={"formatTableResultForUI": False, "fillGaps": True},
|
||||
request_type=RequestType.TIME_SERIES,
|
||||
)
|
||||
|
||||
assert response.status_code == HTTPStatus.OK
|
||||
@@ -155,6 +159,7 @@ def test_two_year_metrics_timeseries_step_clamped(
|
||||
).to_dict()
|
||||
],
|
||||
format_options={"formatTableResultForUI": False, "fillGaps": True},
|
||||
request_type=RequestType.TIME_SERIES,
|
||||
)
|
||||
|
||||
assert response.status_code == HTTPStatus.OK
|
||||
|
||||
@@ -7,10 +7,11 @@ from fixtures import types
|
||||
from fixtures.auth import USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD
|
||||
from fixtures.logs import Logs
|
||||
from fixtures.querier import (
|
||||
RequestType,
|
||||
build_aggregation,
|
||||
build_aggregation_query,
|
||||
build_function,
|
||||
build_group_by_field,
|
||||
build_scalar_query,
|
||||
get_all_series,
|
||||
index_series_by_label,
|
||||
make_query_request,
|
||||
@@ -58,7 +59,7 @@ def test_time_shift_partial_hit_matches_no_cache(
|
||||
]
|
||||
)
|
||||
token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
|
||||
query = build_scalar_query(
|
||||
query = build_aggregation_query(
|
||||
name="A",
|
||||
signal="logs",
|
||||
aggregations=[build_aggregation("count()")],
|
||||
@@ -71,11 +72,11 @@ def test_time_shift_partial_hit_matches_no_cache(
|
||||
first_end_ms = int((now - 30 * MINUTE).timestamp() * 1000)
|
||||
second_end_ms = int((now - 10 * MINUTE).timestamp() * 1000)
|
||||
|
||||
warm = make_query_request(signoz, token, start_ms, first_end_ms, [query], no_cache=False)
|
||||
warm = make_query_request(signoz, token, start_ms, first_end_ms, [query], no_cache=False, request_type=RequestType.TIME_SERIES)
|
||||
assert warm.status_code == HTTPStatus.OK, warm.text
|
||||
cached = make_query_request(signoz, token, start_ms, second_end_ms, [query], no_cache=False)
|
||||
cached = make_query_request(signoz, token, start_ms, second_end_ms, [query], no_cache=False, request_type=RequestType.TIME_SERIES)
|
||||
assert cached.status_code == HTTPStatus.OK, cached.text
|
||||
fresh = make_query_request(signoz, token, start_ms, second_end_ms, [query], no_cache=True)
|
||||
fresh = make_query_request(signoz, token, start_ms, second_end_ms, [query], no_cache=True, request_type=RequestType.TIME_SERIES)
|
||||
assert fresh.status_code == HTTPStatus.OK, fresh.text
|
||||
|
||||
fresh_points = {service: {point["timestamp"]: point["value"] for point in series["values"]} for service, series in index_series_by_label(get_all_series(fresh.json(), "A"), "service.name").items()}
|
||||
|
||||
@@ -7,10 +7,11 @@ from fixtures import types
|
||||
from fixtures.auth import USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD
|
||||
from fixtures.logs import Logs
|
||||
from fixtures.querier import (
|
||||
RequestType,
|
||||
build_aggregation,
|
||||
build_aggregation_query,
|
||||
build_group_by_field,
|
||||
build_order_by,
|
||||
build_scalar_query,
|
||||
get_all_series,
|
||||
index_series_by_label,
|
||||
make_query_request,
|
||||
@@ -48,7 +49,7 @@ def test_limited_group_by_partial_hit_matches_no_cache(
|
||||
]
|
||||
)
|
||||
token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
|
||||
query = build_scalar_query(
|
||||
query = build_aggregation_query(
|
||||
name="A",
|
||||
signal="logs",
|
||||
aggregations=[build_aggregation("count()")],
|
||||
@@ -62,11 +63,11 @@ def test_limited_group_by_partial_hit_matches_no_cache(
|
||||
head_end_ms = int((head_start + 20 * MINUTE).timestamp() * 1000)
|
||||
tail_end_ms = int((head_start + 40 * MINUTE).timestamp() * 1000)
|
||||
|
||||
warm = make_query_request(signoz, token, head_start_ms, head_end_ms, [query], no_cache=False)
|
||||
warm = make_query_request(signoz, token, head_start_ms, head_end_ms, [query], no_cache=False, request_type=RequestType.TIME_SERIES)
|
||||
assert warm.status_code == HTTPStatus.OK, warm.text
|
||||
cached = make_query_request(signoz, token, head_start_ms, tail_end_ms, [query], no_cache=False)
|
||||
cached = make_query_request(signoz, token, head_start_ms, tail_end_ms, [query], no_cache=False, request_type=RequestType.TIME_SERIES)
|
||||
assert cached.status_code == HTTPStatus.OK, cached.text
|
||||
fresh = make_query_request(signoz, token, head_start_ms, tail_end_ms, [query], no_cache=True)
|
||||
fresh = make_query_request(signoz, token, head_start_ms, tail_end_ms, [query], no_cache=True, request_type=RequestType.TIME_SERIES)
|
||||
assert fresh.status_code == HTTPStatus.OK, fresh.text
|
||||
|
||||
fresh_points = {service: {point["timestamp"]: point["value"] for point in series["values"]} for service, series in index_series_by_label(get_all_series(fresh.json(), "A"), "service.name").items()}
|
||||
@@ -106,7 +107,7 @@ def test_limited_group_by_shrunk_window_matches_no_cache(
|
||||
]
|
||||
)
|
||||
token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
|
||||
query = build_scalar_query(
|
||||
query = build_aggregation_query(
|
||||
name="A",
|
||||
signal="logs",
|
||||
aggregations=[build_aggregation("count()")],
|
||||
@@ -120,11 +121,11 @@ def test_limited_group_by_shrunk_window_matches_no_cache(
|
||||
middle_ms = int((start + 5 * MINUTE).timestamp() * 1000)
|
||||
end_ms = int((start + 10 * MINUTE).timestamp() * 1000)
|
||||
|
||||
warm = make_query_request(signoz, token, start_ms, end_ms, [query], no_cache=False)
|
||||
warm = make_query_request(signoz, token, start_ms, end_ms, [query], no_cache=False, request_type=RequestType.TIME_SERIES)
|
||||
assert warm.status_code == HTTPStatus.OK, warm.text
|
||||
cached = make_query_request(signoz, token, middle_ms, end_ms, [query], no_cache=False)
|
||||
cached = make_query_request(signoz, token, middle_ms, end_ms, [query], no_cache=False, request_type=RequestType.TIME_SERIES)
|
||||
assert cached.status_code == HTTPStatus.OK, cached.text
|
||||
fresh = make_query_request(signoz, token, middle_ms, end_ms, [query], no_cache=True)
|
||||
fresh = make_query_request(signoz, token, middle_ms, end_ms, [query], no_cache=True, request_type=RequestType.TIME_SERIES)
|
||||
assert fresh.status_code == HTTPStatus.OK, fresh.text
|
||||
|
||||
fresh_points = {service: {point["timestamp"]: point["value"] for point in series["values"]} for service, series in index_series_by_label(get_all_series(fresh.json(), "A"), "service.name").items()}
|
||||
|
||||
@@ -9,10 +9,10 @@ from fixtures.auth import USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD
|
||||
from fixtures.logs import Logs
|
||||
from fixtures.querier import (
|
||||
build_aggregation,
|
||||
build_aggregation_query,
|
||||
build_formula_query,
|
||||
build_group_by_field,
|
||||
build_order_by,
|
||||
build_scalar_query,
|
||||
find_named_result,
|
||||
get_all_series,
|
||||
get_error_message,
|
||||
@@ -101,7 +101,7 @@ def test_logs_formula_orderby_and_limit(
|
||||
end_ms=int(now.timestamp() * 1000),
|
||||
request_type="scalar",
|
||||
queries=[
|
||||
build_scalar_query(
|
||||
build_aggregation_query(
|
||||
name="A",
|
||||
signal="logs",
|
||||
aggregations=[build_aggregation("count()")],
|
||||
@@ -109,7 +109,7 @@ def test_logs_formula_orderby_and_limit(
|
||||
filter_expression="severity_text = 'ERROR'",
|
||||
disabled=True,
|
||||
),
|
||||
build_scalar_query(
|
||||
build_aggregation_query(
|
||||
name="B",
|
||||
signal="logs",
|
||||
aggregations=[build_aggregation("count()")],
|
||||
@@ -240,8 +240,8 @@ def test_logs_formula_having_time_series_matches_query_having(
|
||||
end_ms=int(now.timestamp() * 1000),
|
||||
request_type="time_series",
|
||||
queries=[
|
||||
build_scalar_query(name="A", signal="logs", aggregations=[build_aggregation("count()")], group_by=group_by, disabled=True),
|
||||
build_scalar_query(name="B", signal="logs", aggregations=[build_aggregation("count()")], group_by=group_by, having_expression=query_having),
|
||||
build_aggregation_query(name="A", signal="logs", aggregations=[build_aggregation("count()")], group_by=group_by, disabled=True),
|
||||
build_aggregation_query(name="B", signal="logs", aggregations=[build_aggregation("count()")], group_by=group_by, having_expression=query_having),
|
||||
build_formula_query("F1", "A", having_expression=formula_having),
|
||||
],
|
||||
)
|
||||
@@ -290,8 +290,8 @@ def test_logs_formula_having_scalar_matches_query_having(
|
||||
end_ms=int(now.timestamp() * 1000),
|
||||
request_type="scalar",
|
||||
queries=[
|
||||
build_scalar_query(name="A", signal="logs", aggregations=[build_aggregation("count()")], group_by=group_by, disabled=True),
|
||||
build_scalar_query(name="B", signal="logs", aggregations=[build_aggregation("count()")], group_by=group_by, having_expression=query_having),
|
||||
build_aggregation_query(name="A", signal="logs", aggregations=[build_aggregation("count()")], group_by=group_by, disabled=True),
|
||||
build_aggregation_query(name="B", signal="logs", aggregations=[build_aggregation("count()")], group_by=group_by, having_expression=query_having),
|
||||
build_formula_query("F1", "A", having_expression=formula_having),
|
||||
],
|
||||
)
|
||||
@@ -325,7 +325,7 @@ def test_logs_formula_having_invalid_reference(
|
||||
end_ms=int(now.timestamp() * 1000),
|
||||
request_type="time_series",
|
||||
queries=[
|
||||
build_scalar_query(name="A", signal="logs", aggregations=[build_aggregation("count()")], disabled=True),
|
||||
build_aggregation_query(name="A", signal="logs", aggregations=[build_aggregation("count()")], disabled=True),
|
||||
build_formula_query("F1", "A", having_expression="count() > 0"),
|
||||
],
|
||||
)
|
||||
|
||||
@@ -10,9 +10,9 @@ from fixtures.auth import USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD
|
||||
from fixtures.logs import Logs
|
||||
from fixtures.querier import (
|
||||
build_aggregation,
|
||||
build_aggregation_query,
|
||||
build_group_by_field,
|
||||
build_order_by,
|
||||
build_scalar_query,
|
||||
get_scalar_table_data,
|
||||
make_scalar_query_request,
|
||||
)
|
||||
@@ -72,7 +72,7 @@ def test_logs_aggregate_functions(
|
||||
|
||||
token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
|
||||
|
||||
query = build_scalar_query(
|
||||
query = build_aggregation_query(
|
||||
name="A",
|
||||
signal="logs",
|
||||
aggregations=[
|
||||
@@ -165,7 +165,7 @@ def test_logs_aggregate_if_predicates_use_filter_syntax(
|
||||
|
||||
token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
|
||||
|
||||
query = build_scalar_query(
|
||||
query = build_aggregation_query(
|
||||
name="A",
|
||||
signal="logs",
|
||||
aggregations=[
|
||||
@@ -240,7 +240,7 @@ def test_logs_aggregate_arguments_are_field_names(
|
||||
|
||||
token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
|
||||
|
||||
query = build_scalar_query(
|
||||
query = build_aggregation_query(
|
||||
name="A",
|
||||
signal="logs",
|
||||
aggregations=[
|
||||
@@ -288,7 +288,7 @@ def test_logs_aggregate_invalid_expression_is_bad_request(
|
||||
now = datetime.now(tz=UTC).replace(second=0, microsecond=0)
|
||||
token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
|
||||
|
||||
query = build_scalar_query(name="A", signal="logs", aggregations=[build_aggregation(expression)])
|
||||
query = build_aggregation_query(name="A", signal="logs", aggregations=[build_aggregation(expression)])
|
||||
response = make_scalar_query_request(signoz, token, now, [query])
|
||||
|
||||
assert response.status_code == HTTPStatus.BAD_REQUEST, response.text
|
||||
@@ -335,7 +335,7 @@ def test_logs_aggregate_having(
|
||||
|
||||
token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
|
||||
|
||||
query = build_scalar_query(
|
||||
query = build_aggregation_query(
|
||||
name="A",
|
||||
signal="logs",
|
||||
aggregations=[build_aggregation(expr) for expr in aggregations],
|
||||
|
||||
@@ -10,9 +10,9 @@ from fixtures.logs import Logs
|
||||
from fixtures.querier import (
|
||||
RequestType,
|
||||
build_aggregation,
|
||||
build_aggregation_query,
|
||||
build_group_by_field,
|
||||
build_order_by,
|
||||
build_scalar_query,
|
||||
get_all_series,
|
||||
get_scalar_table_data,
|
||||
index_series_by_label,
|
||||
@@ -64,7 +64,7 @@ def test_logs_aggregate_min_max(
|
||||
end_ms=int((now + timedelta(seconds=5)).timestamp() * 1000),
|
||||
request_type=RequestType.TIME_SERIES,
|
||||
queries=[
|
||||
build_scalar_query(
|
||||
build_aggregation_query(
|
||||
name="A",
|
||||
signal="logs",
|
||||
aggregations=[
|
||||
@@ -135,7 +135,7 @@ def test_logs_aggregate_time_series_limit(
|
||||
end_ms=int(now.timestamp() * 1000),
|
||||
request_type=RequestType.TIME_SERIES,
|
||||
queries=[
|
||||
build_scalar_query(
|
||||
build_aggregation_query(
|
||||
name="A",
|
||||
signal="logs",
|
||||
aggregations=[build_aggregation("count()")],
|
||||
@@ -187,7 +187,7 @@ def test_logs_aggregate_multi_group_by(
|
||||
|
||||
token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
|
||||
|
||||
query = build_scalar_query(
|
||||
query = build_aggregation_query(
|
||||
name="A",
|
||||
signal="logs",
|
||||
aggregations=[build_aggregation("count()")],
|
||||
|
||||
@@ -10,9 +10,9 @@ from fixtures.logs import Logs
|
||||
from fixtures.querier import (
|
||||
RequestType,
|
||||
build_aggregation,
|
||||
build_aggregation_query,
|
||||
build_group_by_field,
|
||||
build_raw_query,
|
||||
build_scalar_query,
|
||||
get_rows,
|
||||
get_scalar_table_data,
|
||||
make_query_request,
|
||||
@@ -92,7 +92,7 @@ def test_logs_unknown_key_collision_groupby_parity(
|
||||
token,
|
||||
now,
|
||||
[
|
||||
build_scalar_query(
|
||||
build_aggregation_query(
|
||||
"A",
|
||||
"logs",
|
||||
[build_aggregation("count()")],
|
||||
@@ -210,7 +210,7 @@ def test_logs_unknown_key_collision_aggregation_parity(
|
||||
token,
|
||||
now,
|
||||
[
|
||||
build_scalar_query(
|
||||
build_aggregation_query(
|
||||
"A",
|
||||
"logs",
|
||||
[build_aggregation(f"count({key})", "cnt"), build_aggregation(f"count_distinct({key})", "distinct")],
|
||||
|
||||
@@ -11,12 +11,12 @@ from fixtures.querier import (
|
||||
RequestType,
|
||||
assert_distribution_sums_heatmap,
|
||||
build_aggregation,
|
||||
build_aggregation_query,
|
||||
build_group_by_field,
|
||||
build_heatmap_query,
|
||||
build_linear_bucket_options,
|
||||
build_log_bucket_options,
|
||||
build_order_by,
|
||||
build_scalar_query,
|
||||
get_all_series,
|
||||
get_buckets,
|
||||
get_error_message,
|
||||
@@ -200,7 +200,7 @@ def test_heatmap_rejections(
|
||||
token,
|
||||
int((now - timedelta(minutes=5)).timestamp() * 1000),
|
||||
int(now.timestamp() * 1000),
|
||||
[build_scalar_query("A", "logs", aggregations)],
|
||||
[build_aggregation_query("A", "logs", aggregations)],
|
||||
request_type=RequestType.HEATMAP,
|
||||
)
|
||||
assert response.status_code == HTTPStatus.BAD_REQUEST, response.text
|
||||
|
||||
@@ -7,6 +7,7 @@ from fixtures.auth import USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD
|
||||
from fixtures.fs import get_testdata_file_path
|
||||
from fixtures.metrics import Metrics
|
||||
from fixtures.querier import (
|
||||
RequestType,
|
||||
build_builder_query,
|
||||
get_all_warnings,
|
||||
make_query_request,
|
||||
@@ -50,12 +51,12 @@ def test_histogram_p90_returns_warning_outside_data_window(
|
||||
end_ms = int(now.timestamp() * 1000)
|
||||
|
||||
start_4h = int((now - timedelta(hours=4)).timestamp() * 1000)
|
||||
response = make_query_request(signoz, token, start_4h, end_ms, [query])
|
||||
response = make_query_request(signoz, token, start_4h, end_ms, [query], request_type=RequestType.TIME_SERIES)
|
||||
assert response.status_code == HTTPStatus.OK
|
||||
assert response.json()["status"] == "success"
|
||||
|
||||
start_15m = int((now - timedelta(minutes=15)).timestamp() * 1000)
|
||||
response = make_query_request(signoz, token, start_15m, end_ms, [query])
|
||||
response = make_query_request(signoz, token, start_15m, end_ms, [query], request_type=RequestType.TIME_SERIES)
|
||||
assert response.status_code == HTTPStatus.OK
|
||||
data = response.json()
|
||||
warnings = get_all_warnings(data)
|
||||
@@ -83,7 +84,7 @@ def test_non_existent_metrics_returns_warning(
|
||||
end_ms = int(now.timestamp() * 1000)
|
||||
|
||||
start_2h = int((now - timedelta(hours=2)).timestamp() * 1000)
|
||||
response = make_query_request(signoz, token, start_2h, end_ms, [query])
|
||||
response = make_query_request(signoz, token, start_2h, end_ms, [query], request_type=RequestType.TIME_SERIES)
|
||||
assert response.status_code == HTTPStatus.OK
|
||||
|
||||
data = response.json()
|
||||
@@ -111,7 +112,7 @@ def test_non_existent_internal_metrics_returns_no_warning(
|
||||
end_ms = int(now.timestamp() * 1000)
|
||||
|
||||
start_2h = int((now - timedelta(hours=2)).timestamp() * 1000)
|
||||
response = make_query_request(signoz, token, start_2h, end_ms, [query])
|
||||
response = make_query_request(signoz, token, start_2h, end_ms, [query], request_type=RequestType.TIME_SERIES)
|
||||
assert response.status_code == HTTPStatus.OK
|
||||
data = response.json()
|
||||
assert get_all_warnings(data) == []
|
||||
@@ -172,6 +173,7 @@ def test_variable_in_filter_returns_no_warning(
|
||||
end_ms,
|
||||
[query],
|
||||
variables={"tag": {"type": "query", "value": "service-a"}},
|
||||
request_type=RequestType.TIME_SERIES,
|
||||
)
|
||||
|
||||
assert response.status_code == HTTPStatus.OK
|
||||
|
||||
@@ -9,6 +9,7 @@ from fixtures.auth import USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD
|
||||
from fixtures.fs import get_testdata_file_path
|
||||
from fixtures.metrics import Metrics
|
||||
from fixtures.querier import (
|
||||
RequestType,
|
||||
build_builder_query,
|
||||
get_all_series,
|
||||
get_series_values,
|
||||
@@ -75,7 +76,7 @@ def test_histogram_count_for_one_endpoint(
|
||||
filter_expression='endpoint = "/health"',
|
||||
)
|
||||
|
||||
response = make_query_request(signoz, token, start_ms, end_ms, [query])
|
||||
response = make_query_request(signoz, token, start_ms, end_ms, [query], request_type=RequestType.TIME_SERIES)
|
||||
assert response.status_code == HTTPStatus.OK
|
||||
|
||||
data = response.json()
|
||||
@@ -142,7 +143,7 @@ def test_histogram_count_for_one_service(
|
||||
filter_expression='service = "api"',
|
||||
)
|
||||
|
||||
response = make_query_request(signoz, token, start_ms, end_ms, [query])
|
||||
response = make_query_request(signoz, token, start_ms, end_ms, [query], request_type=RequestType.TIME_SERIES)
|
||||
assert response.status_code == HTTPStatus.OK
|
||||
|
||||
data = response.json()
|
||||
@@ -212,7 +213,7 @@ def test_histogram_count_for_delta_service(
|
||||
filter_expression='service = "web"',
|
||||
)
|
||||
|
||||
response = make_query_request(signoz, token, start_ms, end_ms, [query])
|
||||
response = make_query_request(signoz, token, start_ms, end_ms, [query], request_type=RequestType.TIME_SERIES)
|
||||
assert response.status_code == HTTPStatus.OK
|
||||
|
||||
data = response.json()
|
||||
@@ -271,7 +272,7 @@ def test_histogram_count_for_all_services(
|
||||
## no services filter, this tests for multitemporality handling as well
|
||||
)
|
||||
|
||||
response = make_query_request(signoz, token, start_ms, end_ms, [query])
|
||||
response = make_query_request(signoz, token, start_ms, end_ms, [query], request_type=RequestType.TIME_SERIES)
|
||||
assert response.status_code == HTTPStatus.OK
|
||||
|
||||
data = response.json()
|
||||
@@ -308,7 +309,7 @@ def test_histogram_count_no_param(
|
||||
"count",
|
||||
)
|
||||
|
||||
response = make_query_request(signoz, token, start_ms, end_ms, [query])
|
||||
response = make_query_request(signoz, token, start_ms, end_ms, [query], request_type=RequestType.TIME_SERIES)
|
||||
assert response.status_code == HTTPStatus.OK
|
||||
|
||||
data = response.json()
|
||||
@@ -394,7 +395,7 @@ def test_histogram_percentile_for_all_services(
|
||||
space_agg,
|
||||
)
|
||||
|
||||
response = make_query_request(signoz, token, start_ms, end_ms, [query])
|
||||
response = make_query_request(signoz, token, start_ms, end_ms, [query], request_type=RequestType.TIME_SERIES)
|
||||
assert response.status_code == HTTPStatus.OK
|
||||
|
||||
data = response.json()
|
||||
@@ -445,7 +446,7 @@ def test_histogram_percentile_for_cumulative_service(
|
||||
filter_expression='service = "api"',
|
||||
)
|
||||
|
||||
response = make_query_request(signoz, token, start_ms, end_ms, [query])
|
||||
response = make_query_request(signoz, token, start_ms, end_ms, [query], request_type=RequestType.TIME_SERIES)
|
||||
assert response.status_code == HTTPStatus.OK
|
||||
|
||||
data = response.json()
|
||||
@@ -500,6 +501,7 @@ def test_histogram_percentile_with_a_gap_in_one_bucket(
|
||||
start_ms,
|
||||
end_ms,
|
||||
[build_builder_query("A", metric_name, "doesnotreallymatter", "p50")],
|
||||
request_type=RequestType.TIME_SERIES,
|
||||
)
|
||||
assert response.status_code == HTTPStatus.OK, response.text
|
||||
|
||||
@@ -548,7 +550,7 @@ def test_histogram_percentile_for_delta_service(
|
||||
filter_expression='service = "web"',
|
||||
)
|
||||
|
||||
response = make_query_request(signoz, token, start_ms, end_ms, [query])
|
||||
response = make_query_request(signoz, token, start_ms, end_ms, [query], request_type=RequestType.TIME_SERIES)
|
||||
assert response.status_code == HTTPStatus.OK
|
||||
|
||||
data = response.json()
|
||||
@@ -590,6 +592,7 @@ def test_histogram_percentile_explicit_le_group_by(
|
||||
build_builder_query("A", metric_name, "doesnotreallymatter", "p95", group_by=["le", "service"]),
|
||||
build_builder_query("B", metric_name, "doesnotreallymatter", "p95", group_by=["service"]),
|
||||
],
|
||||
request_type=RequestType.TIME_SERIES,
|
||||
)
|
||||
assert response.status_code == HTTPStatus.OK, response.text
|
||||
|
||||
|
||||
@@ -10,6 +10,7 @@ from fixtures.auth import USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD
|
||||
from fixtures.fs import get_testdata_file_path
|
||||
from fixtures.metrics import Metrics
|
||||
from fixtures.querier import (
|
||||
RequestType,
|
||||
build_builder_query,
|
||||
get_all_series,
|
||||
get_series_values,
|
||||
@@ -59,7 +60,7 @@ def test_with_steady_values_and_reset(
|
||||
filter_expression='endpoint = "/orders"',
|
||||
)
|
||||
|
||||
response = make_query_request(signoz, token, start_ms, end_ms, [query])
|
||||
response = make_query_request(signoz, token, start_ms, end_ms, [query], request_type=RequestType.TIME_SERIES)
|
||||
assert response.status_code == HTTPStatus.OK
|
||||
|
||||
data = response.json()
|
||||
@@ -118,7 +119,7 @@ def test_group_by_endpoint(
|
||||
group_by=["endpoint"],
|
||||
)
|
||||
|
||||
response = make_query_request(signoz, token, start_ms, end_ms, [query])
|
||||
response = make_query_request(signoz, token, start_ms, end_ms, [query], request_type=RequestType.TIME_SERIES)
|
||||
assert response.status_code == HTTPStatus.OK
|
||||
|
||||
data = response.json()
|
||||
@@ -242,7 +243,7 @@ def test_for_service_with_switch(
|
||||
filter_expression='service = "api"',
|
||||
)
|
||||
|
||||
response = make_query_request(signoz, token, start_ms, end_ms, [query])
|
||||
response = make_query_request(signoz, token, start_ms, end_ms, [query], request_type=RequestType.TIME_SERIES)
|
||||
assert response.status_code == HTTPStatus.OK
|
||||
|
||||
data = response.json()
|
||||
@@ -294,7 +295,7 @@ def test_for_week_long_time_range(
|
||||
"sum",
|
||||
)
|
||||
|
||||
response = make_query_request(signoz, token, start_ms, end_ms, [query])
|
||||
response = make_query_request(signoz, token, start_ms, end_ms, [query], request_type=RequestType.TIME_SERIES)
|
||||
assert response.status_code == HTTPStatus.OK
|
||||
data = response.json()
|
||||
result_values = sorted(get_series_values(data, "A"), key=lambda x: x["timestamp"])
|
||||
@@ -338,7 +339,7 @@ def test_for_month_long_time_range(
|
||||
"sum",
|
||||
)
|
||||
|
||||
response = make_query_request(signoz, token, start_ms, end_ms, [query])
|
||||
response = make_query_request(signoz, token, start_ms, end_ms, [query], request_type=RequestType.TIME_SERIES)
|
||||
assert response.status_code == HTTPStatus.OK
|
||||
data = response.json()
|
||||
result_values = sorted(get_series_values(data, "A"), key=lambda x: x["timestamp"])
|
||||
|
||||
@@ -9,6 +9,7 @@ from fixtures.auth import USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD
|
||||
from fixtures.fs import get_testdata_file_path
|
||||
from fixtures.metrics import Metrics
|
||||
from fixtures.querier import (
|
||||
RequestType,
|
||||
build_builder_query,
|
||||
get_series_values,
|
||||
make_query_request,
|
||||
@@ -72,7 +73,7 @@ def test_for_one_service(
|
||||
filter_expression=f'service = "{service}"',
|
||||
)
|
||||
|
||||
response = make_query_request(signoz, token, start_ms, end_ms, [query])
|
||||
response = make_query_request(signoz, token, start_ms, end_ms, [query], request_type=RequestType.TIME_SERIES)
|
||||
assert response.status_code == HTTPStatus.OK
|
||||
|
||||
data = response.json()
|
||||
@@ -128,7 +129,7 @@ def test_for_multiple_aggregations(
|
||||
space_agg,
|
||||
)
|
||||
|
||||
response = make_query_request(signoz, token, start_ms, end_ms, [query])
|
||||
response = make_query_request(signoz, token, start_ms, end_ms, [query], request_type=RequestType.TIME_SERIES)
|
||||
assert response.status_code == HTTPStatus.OK
|
||||
|
||||
data = response.json()
|
||||
|
||||
@@ -8,6 +8,7 @@ from fixtures import types
|
||||
from fixtures.auth import USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD
|
||||
from fixtures.metrics import Metrics
|
||||
from fixtures.querier import (
|
||||
RequestType,
|
||||
build_builder_query,
|
||||
get_all_series,
|
||||
get_series_values,
|
||||
@@ -46,7 +47,7 @@ def test_rate_with_steady_values_and_reset(
|
||||
filter_expression='endpoint = "/orders"',
|
||||
)
|
||||
|
||||
response = make_query_request(signoz, token, start_ms, end_ms, [query])
|
||||
response = make_query_request(signoz, token, start_ms, end_ms, [query], request_type=RequestType.TIME_SERIES)
|
||||
assert response.status_code == HTTPStatus.OK
|
||||
|
||||
data = response.json()
|
||||
@@ -90,7 +91,7 @@ def test_rate_group_by_endpoint(
|
||||
group_by=["endpoint"],
|
||||
)
|
||||
|
||||
response = make_query_request(signoz, token, start_ms, end_ms, [query])
|
||||
response = make_query_request(signoz, token, start_ms, end_ms, [query], request_type=RequestType.TIME_SERIES)
|
||||
assert response.status_code == HTTPStatus.OK
|
||||
|
||||
data = response.json()
|
||||
|
||||
@@ -8,6 +8,7 @@ from fixtures import types
|
||||
from fixtures.auth import USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD
|
||||
from fixtures.metrics import Metrics
|
||||
from fixtures.querier import (
|
||||
RequestType,
|
||||
build_builder_query,
|
||||
get_all_series,
|
||||
get_series_values,
|
||||
@@ -45,7 +46,7 @@ def test_rate_with_steady_values_and_reset(
|
||||
filter_expression='endpoint = "/orders"',
|
||||
)
|
||||
|
||||
response = make_query_request(signoz, token, start_ms, end_ms, [query])
|
||||
response = make_query_request(signoz, token, start_ms, end_ms, [query], request_type=RequestType.TIME_SERIES)
|
||||
assert response.status_code == HTTPStatus.OK
|
||||
|
||||
data = response.json()
|
||||
@@ -87,7 +88,7 @@ def test_rate_group_by_endpoint(
|
||||
group_by=["endpoint"],
|
||||
)
|
||||
|
||||
response = make_query_request(signoz, token, start_ms, end_ms, [query])
|
||||
response = make_query_request(signoz, token, start_ms, end_ms, [query], request_type=RequestType.TIME_SERIES)
|
||||
assert response.status_code == HTTPStatus.OK
|
||||
|
||||
data = response.json()
|
||||
|
||||
@@ -8,6 +8,7 @@ from fixtures import types
|
||||
from fixtures.auth import USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD
|
||||
from fixtures.meter import MeterSample, make_meter_samples
|
||||
from fixtures.querier import (
|
||||
RequestType,
|
||||
build_builder_query,
|
||||
get_series_values,
|
||||
make_query_request,
|
||||
@@ -49,7 +50,7 @@ def test_query_range_cost_meter(
|
||||
temporality="delta",
|
||||
)
|
||||
|
||||
response = make_query_request(signoz, token, start_ms, end_ms, [query])
|
||||
response = make_query_request(signoz, token, start_ms, end_ms, [query], request_type=RequestType.TIME_SERIES)
|
||||
assert response.status_code == HTTPStatus.OK
|
||||
|
||||
data = response.json()
|
||||
|
||||
@@ -45,7 +45,7 @@ def test_metrics_group_by_context_collapse(
|
||||
token,
|
||||
now,
|
||||
[
|
||||
querier.build_scalar_query(
|
||||
querier.build_aggregation_query(
|
||||
name="A",
|
||||
signal="metrics",
|
||||
aggregations=[querier.build_metrics_aggregation(METRIC, "latest", "sum", "unspecified", reduce_to="last")],
|
||||
@@ -93,7 +93,7 @@ def test_metrics_filter_label_context(
|
||||
token,
|
||||
now,
|
||||
[
|
||||
querier.build_scalar_query(
|
||||
querier.build_aggregation_query(
|
||||
name="A",
|
||||
signal="metrics",
|
||||
aggregations=[querier.build_metrics_aggregation(METRIC, "latest", "sum", "unspecified", reduce_to="last")],
|
||||
@@ -113,7 +113,7 @@ def test_metrics_filter_label_context(
|
||||
token,
|
||||
now,
|
||||
[
|
||||
querier.build_scalar_query(
|
||||
querier.build_aggregation_query(
|
||||
name="A",
|
||||
signal="metrics",
|
||||
aggregations=[querier.build_metrics_aggregation(METRIC, "latest", "sum", "unspecified", reduce_to="last")],
|
||||
@@ -154,7 +154,7 @@ def test_metrics_group_by_unknown_label(
|
||||
token,
|
||||
now,
|
||||
[
|
||||
querier.build_scalar_query(
|
||||
querier.build_aggregation_query(
|
||||
name="A",
|
||||
signal="metrics",
|
||||
aggregations=[querier.build_metrics_aggregation(METRIC, "latest", "sum", "unspecified", reduce_to="last")],
|
||||
@@ -199,7 +199,7 @@ def test_metrics_filter_unknown_label_matches_nothing(
|
||||
token,
|
||||
now,
|
||||
[
|
||||
querier.build_scalar_query(
|
||||
querier.build_aggregation_query(
|
||||
name="A",
|
||||
signal="metrics",
|
||||
aggregations=[querier.build_metrics_aggregation(METRIC, "latest", "sum", "unspecified", reduce_to="last")],
|
||||
@@ -245,7 +245,7 @@ def test_metrics_full_text_filter_does_not_error(
|
||||
token,
|
||||
now,
|
||||
[
|
||||
querier.build_scalar_query(
|
||||
querier.build_aggregation_query(
|
||||
name="A",
|
||||
signal="metrics",
|
||||
aggregations=[querier.build_metrics_aggregation(METRIC, "latest", "sum", "unspecified", reduce_to="last")],
|
||||
@@ -290,7 +290,7 @@ def test_metrics_group_by_label_named_value(
|
||||
token,
|
||||
now,
|
||||
[
|
||||
querier.build_scalar_query(
|
||||
querier.build_aggregation_query(
|
||||
name="A",
|
||||
signal="metrics",
|
||||
aggregations=[querier.build_metrics_aggregation(METRIC, "latest", "sum", "unspecified", reduce_to="last")],
|
||||
|
||||
@@ -7,7 +7,7 @@ import pytest
|
||||
from fixtures import types
|
||||
from fixtures.auth import USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD
|
||||
from fixtures.metrics import Metrics
|
||||
from fixtures.querier import build_builder_query, get_series_values, make_query_request
|
||||
from fixtures.querier import RequestType, build_builder_query, get_series_values, make_query_request
|
||||
|
||||
|
||||
# A delta, non-monotonic Sum queried without an explicit type must be treated as
|
||||
@@ -53,7 +53,7 @@ def test_delta_nonmonotonic_sum_is_treated_as_sum(
|
||||
# No type and no temporality: the server resolves both from the seeded series.
|
||||
query = build_builder_query("A", metric_name, time_aggregation, "sum")
|
||||
|
||||
response = make_query_request(signoz, token, start_ms, end_ms, [query])
|
||||
response = make_query_request(signoz, token, start_ms, end_ms, [query], request_type=RequestType.TIME_SERIES)
|
||||
assert response.status_code == HTTPStatus.OK, response.text
|
||||
|
||||
values = get_series_values(response.json(), "A")
|
||||
|
||||
@@ -52,7 +52,7 @@ def test_metrics_filter_bool_label(
|
||||
token,
|
||||
now,
|
||||
[
|
||||
querier.build_scalar_query(
|
||||
querier.build_aggregation_query(
|
||||
name="A",
|
||||
signal="metrics",
|
||||
aggregations=[querier.build_metrics_aggregation(METRIC, "latest", "sum", "unspecified", reduce_to="last")],
|
||||
|
||||
@@ -8,6 +8,7 @@ from fixtures import types
|
||||
from fixtures.auth import USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD
|
||||
from fixtures.metrics import ExpHistogramMetrics
|
||||
from fixtures.querier import (
|
||||
RequestType,
|
||||
build_builder_query,
|
||||
get_all_series,
|
||||
get_all_warnings,
|
||||
@@ -74,7 +75,7 @@ def test_exp_histogram_percentile_delta_grouped(
|
||||
group_by=["service.name"],
|
||||
)
|
||||
|
||||
response = make_query_request(signoz, token, start_ms, end_ms, [query])
|
||||
response = make_query_request(signoz, token, start_ms, end_ms, [query], request_type=RequestType.TIME_SERIES)
|
||||
assert response.status_code == HTTPStatus.OK, response.text
|
||||
|
||||
data = response.json()
|
||||
@@ -123,7 +124,7 @@ def test_exp_histogram_percentile_delta_merges_across_series(
|
||||
token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
|
||||
query = build_builder_query("A", metric_name, "", "p95", temporality="delta")
|
||||
|
||||
response = make_query_request(signoz, token, start_ms, end_ms, [query])
|
||||
response = make_query_request(signoz, token, start_ms, end_ms, [query], request_type=RequestType.TIME_SERIES)
|
||||
assert response.status_code == HTTPStatus.OK, response.text
|
||||
|
||||
data = response.json()
|
||||
@@ -164,7 +165,7 @@ def test_exp_histogram_percentile_cumulative_is_rejected(
|
||||
token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
|
||||
query = build_builder_query("A", metric_name, "", "p95", temporality="cumulative")
|
||||
|
||||
response = make_query_request(signoz, token, start_ms, end_ms, [query])
|
||||
response = make_query_request(signoz, token, start_ms, end_ms, [query], request_type=RequestType.TIME_SERIES)
|
||||
|
||||
# the request is well formed; it is the stored metric that cannot be read, so
|
||||
# this is reported as unsupported rather than as bad input
|
||||
|
||||
@@ -7,6 +7,7 @@ from fixtures import types
|
||||
from fixtures.auth import USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD
|
||||
from fixtures.metrics import Metrics
|
||||
from fixtures.querier import (
|
||||
RequestType,
|
||||
assert_results_equal,
|
||||
build_builder_query,
|
||||
get_series_values,
|
||||
@@ -56,16 +57,16 @@ def test_builder_shortening_the_time_range_at_the_end(
|
||||
|
||||
token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
|
||||
|
||||
base_query = make_query_request(signoz, token, start_time_ms, end_time_ms_base_query, query, no_cache=False)
|
||||
base_query = make_query_request(signoz, token, start_time_ms, end_time_ms_base_query, query, no_cache=False, request_type=RequestType.TIME_SERIES)
|
||||
assert base_query.status_code == HTTPStatus.OK, base_query.text
|
||||
points = sorted(get_series_values(base_query.json(), "A"), key=lambda point: point["timestamp"])
|
||||
returned_points = [(point["value"], point.get("partial", False)) for point in points]
|
||||
assert returned_points == [(16, False), (4096, False)]
|
||||
|
||||
from_cache = make_query_request(signoz, token, start_time_ms, end_time_ms_shortened_query, query, no_cache=False)
|
||||
from_cache = make_query_request(signoz, token, start_time_ms, end_time_ms_shortened_query, query, no_cache=False, request_type=RequestType.TIME_SERIES)
|
||||
assert from_cache.status_code == HTTPStatus.OK, from_cache.text
|
||||
|
||||
uncached = make_query_request(signoz, token, start_time_ms, end_time_ms_shortened_query, query, no_cache=True)
|
||||
uncached = make_query_request(signoz, token, start_time_ms, end_time_ms_shortened_query, query, no_cache=True, request_type=RequestType.TIME_SERIES)
|
||||
assert uncached.status_code == HTTPStatus.OK, uncached.text
|
||||
|
||||
assert_results_equal(from_cache.json(), uncached.json(), "A", "shortened end")
|
||||
@@ -116,16 +117,16 @@ def test_builder_shortening_the_time_range_at_the_start(
|
||||
|
||||
token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
|
||||
|
||||
base_query = make_query_request(signoz, token, start_time_ms_base_query, end_time_ms, query, no_cache=False)
|
||||
base_query = make_query_request(signoz, token, start_time_ms_base_query, end_time_ms, query, no_cache=False, request_type=RequestType.TIME_SERIES)
|
||||
assert base_query.status_code == HTTPStatus.OK, base_query.text
|
||||
points = sorted(get_series_values(base_query.json(), "A"), key=lambda point: point["timestamp"])
|
||||
returned_points = [(point["value"], point.get("partial", False)) for point in points]
|
||||
assert returned_points == [(65536, False), (4096, False)]
|
||||
|
||||
from_cache = make_query_request(signoz, token, start_time_ms_shortened_query, end_time_ms, query, no_cache=False)
|
||||
from_cache = make_query_request(signoz, token, start_time_ms_shortened_query, end_time_ms, query, no_cache=False, request_type=RequestType.TIME_SERIES)
|
||||
assert from_cache.status_code == HTTPStatus.OK, from_cache.text
|
||||
|
||||
uncached = make_query_request(signoz, token, start_time_ms_shortened_query, end_time_ms, query, no_cache=True)
|
||||
uncached = make_query_request(signoz, token, start_time_ms_shortened_query, end_time_ms, query, no_cache=True, request_type=RequestType.TIME_SERIES)
|
||||
assert uncached.status_code == HTTPStatus.OK, uncached.text
|
||||
|
||||
assert_results_equal(from_cache.json(), uncached.json(), "A", "shortened start")
|
||||
@@ -178,16 +179,16 @@ def test_builder_time_range_shorter_than_the_step(
|
||||
|
||||
token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
|
||||
|
||||
base_query = make_query_request(signoz, token, start_time_ms, end_time_ms_base_query, query, no_cache=False)
|
||||
base_query = make_query_request(signoz, token, start_time_ms, end_time_ms_base_query, query, no_cache=False, request_type=RequestType.TIME_SERIES)
|
||||
assert base_query.status_code == HTTPStatus.OK, base_query.text
|
||||
points = sorted(get_series_values(base_query.json(), "A"), key=lambda point: point["timestamp"])
|
||||
returned_points = [(point["value"], point.get("partial", False)) for point in points]
|
||||
assert returned_points == [(16, False), (4096, False)]
|
||||
|
||||
from_cache = make_query_request(signoz, token, start_time_ms_short_query, end_time_ms_short_query, query, no_cache=False)
|
||||
from_cache = make_query_request(signoz, token, start_time_ms_short_query, end_time_ms_short_query, query, no_cache=False, request_type=RequestType.TIME_SERIES)
|
||||
assert from_cache.status_code == HTTPStatus.OK, from_cache.text
|
||||
|
||||
uncached = make_query_request(signoz, token, start_time_ms_short_query, end_time_ms_short_query, query, no_cache=True)
|
||||
uncached = make_query_request(signoz, token, start_time_ms_short_query, end_time_ms_short_query, query, no_cache=True, request_type=RequestType.TIME_SERIES)
|
||||
assert uncached.status_code == HTTPStatus.OK, uncached.text
|
||||
|
||||
assert_results_equal(from_cache.json(), uncached.json(), "A", "range shorter than the step")
|
||||
@@ -238,10 +239,10 @@ def test_promql_running_the_same_query_twice(
|
||||
|
||||
token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
|
||||
|
||||
first = make_query_request(signoz, token, start_time_ms, end_time_ms, query, no_cache=False)
|
||||
first = make_query_request(signoz, token, start_time_ms, end_time_ms, query, no_cache=False, request_type=RequestType.TIME_SERIES)
|
||||
assert first.status_code == HTTPStatus.OK, first.text
|
||||
|
||||
second = make_query_request(signoz, token, start_time_ms, end_time_ms, query, no_cache=False)
|
||||
second = make_query_request(signoz, token, start_time_ms, end_time_ms, query, no_cache=False, request_type=RequestType.TIME_SERIES)
|
||||
assert second.status_code == HTTPStatus.OK, second.text
|
||||
|
||||
assert_results_equal(first.json(), second.json(), "A", "the same query twice")
|
||||
@@ -296,7 +297,7 @@ def test_promql_shifting_the_time_range(
|
||||
|
||||
token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
|
||||
|
||||
aligned_and_cached = make_query_request(signoz, token, aligned_start_time_ms, aligned_end_time_ms, query, no_cache=False)
|
||||
aligned_and_cached = make_query_request(signoz, token, aligned_start_time_ms, aligned_end_time_ms, query, no_cache=False, request_type=RequestType.TIME_SERIES)
|
||||
assert aligned_and_cached.status_code == HTTPStatus.OK, aligned_and_cached.text
|
||||
|
||||
## at each timestamp t, promql takes the highest sample in (t-2minutes, t],
|
||||
@@ -312,7 +313,7 @@ def test_promql_shifting_the_time_range(
|
||||
|
||||
# an unaligned range is rounded down to the step, so this asks for the same
|
||||
# instants as the aligned query and gets the same answer
|
||||
unaligned_and_cached = make_query_request(signoz, token, unaligned_start_time_ms, unaligned_end_time_ms, query, no_cache=False)
|
||||
unaligned_and_cached = make_query_request(signoz, token, unaligned_start_time_ms, unaligned_end_time_ms, query, no_cache=False, request_type=RequestType.TIME_SERIES)
|
||||
assert unaligned_and_cached.status_code == HTTPStatus.OK, unaligned_and_cached.text
|
||||
points = sorted(get_series_values(unaligned_and_cached.json(), "A"), key=lambda point: point["timestamp"])
|
||||
assert [(point["timestamp"], point["value"]) for point in points] == aligned_points, "unaligned query, rounded to the step"
|
||||
@@ -329,7 +330,7 @@ def test_promql_shifting_the_time_range(
|
||||
(unaligned_end_time_ms, 1100), # t = 3m30s
|
||||
]
|
||||
for run in ("first", "second"):
|
||||
unaligned_as_asked = make_query_request(signoz, token, unaligned_start_time_ms, unaligned_end_time_ms, unaligned_query, no_cache=False)
|
||||
unaligned_as_asked = make_query_request(signoz, token, unaligned_start_time_ms, unaligned_end_time_ms, unaligned_query, no_cache=False, request_type=RequestType.TIME_SERIES)
|
||||
assert unaligned_as_asked.status_code == HTTPStatus.OK, unaligned_as_asked.text
|
||||
points = sorted(get_series_values(unaligned_as_asked.json(), "A"), key=lambda point: point["timestamp"])
|
||||
assert [(point["timestamp"], point["value"]) for point in points] == unaligned_points, f"unaligned query as asked, {run} run"
|
||||
@@ -371,17 +372,17 @@ def test_promql_time_range_shorter_than_the_step(
|
||||
|
||||
token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
|
||||
|
||||
base_query = make_query_request(signoz, token, start_time_ms, end_time_ms_base_query, query, no_cache=False)
|
||||
base_query = make_query_request(signoz, token, start_time_ms, end_time_ms_base_query, query, no_cache=False, request_type=RequestType.TIME_SERIES)
|
||||
assert base_query.status_code == HTTPStatus.OK, base_query.text
|
||||
points = sorted(get_series_values(base_query.json(), "A"), key=lambda point: point["timestamp"])
|
||||
assert [(point["timestamp"], point["value"]) for point in points] == [(start_time_ms, 100), (end_time_ms_base_query, 1100)]
|
||||
|
||||
# a range shorter than the step rounds down to the single instant at minute
|
||||
# 10, the instant the base query closed on
|
||||
from_cache = make_query_request(signoz, token, start_time_ms_short_query, end_time_ms_short_query, query, no_cache=False)
|
||||
from_cache = make_query_request(signoz, token, start_time_ms_short_query, end_time_ms_short_query, query, no_cache=False, request_type=RequestType.TIME_SERIES)
|
||||
assert from_cache.status_code == HTTPStatus.OK, from_cache.text
|
||||
|
||||
uncached = make_query_request(signoz, token, start_time_ms_short_query, end_time_ms_short_query, query, no_cache=True)
|
||||
uncached = make_query_request(signoz, token, start_time_ms_short_query, end_time_ms_short_query, query, no_cache=True, request_type=RequestType.TIME_SERIES)
|
||||
assert uncached.status_code == HTTPStatus.OK, uncached.text
|
||||
|
||||
assert_results_equal(from_cache.json(), uncached.json(), "A", "range shorter than the step")
|
||||
@@ -427,7 +428,7 @@ def test_builder_refreshing_a_sliding_time_range(
|
||||
# a dashboard left open on a one hour range, re-running a minute later each time
|
||||
for refresh in range(20):
|
||||
refresh_start_ms = start_time_ms + refresh * MINUTE_MS
|
||||
from_cache = make_query_request(signoz, token, refresh_start_ms, refresh_start_ms + 60 * MINUTE_MS, query, no_cache=False)
|
||||
from_cache = make_query_request(signoz, token, refresh_start_ms, refresh_start_ms + 60 * MINUTE_MS, query, no_cache=False, request_type=RequestType.TIME_SERIES)
|
||||
assert from_cache.status_code == HTTPStatus.OK, from_cache.text
|
||||
|
||||
# each refresh is stitched out of overlapping cached ranges, so this catches
|
||||
@@ -438,7 +439,7 @@ def test_builder_refreshing_a_sliding_time_range(
|
||||
assert returned_points == expected_points, f"refresh {refresh} did not return the minutes it covers"
|
||||
|
||||
last_refresh_start_ms = start_time_ms + 19 * MINUTE_MS
|
||||
uncached = make_query_request(signoz, token, last_refresh_start_ms, last_refresh_start_ms + 60 * MINUTE_MS, query, no_cache=True)
|
||||
uncached = make_query_request(signoz, token, last_refresh_start_ms, last_refresh_start_ms + 60 * MINUTE_MS, query, no_cache=True, request_type=RequestType.TIME_SERIES)
|
||||
assert uncached.status_code == HTTPStatus.OK, uncached.text
|
||||
|
||||
assert_results_equal(from_cache.json(), uncached.json(), "A", "the twentieth refresh")
|
||||
|
||||
@@ -7,7 +7,7 @@ import pytest
|
||||
from fixtures import types
|
||||
from fixtures.auth import USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD
|
||||
from fixtures.metrics import Metrics
|
||||
from fixtures.querier import build_builder_query, get_all_series, make_query_request
|
||||
from fixtures.querier import RequestType, build_builder_query, get_all_series, make_query_request
|
||||
|
||||
|
||||
@pytest.mark.parametrize(
|
||||
@@ -62,6 +62,7 @@ def test_metrics_time_series_offset_skips_series_in_order(
|
||||
offset=offset,
|
||||
)
|
||||
],
|
||||
request_type=RequestType.TIME_SERIES,
|
||||
)
|
||||
|
||||
assert response.status_code == HTTPStatus.OK, response.text
|
||||
|
||||
@@ -46,7 +46,7 @@ def build_logs_query(
|
||||
gb = [querier.build_group_by_field(f, "string", "resource") for f in group_by] if group_by else None
|
||||
order = [querier.build_order_by(name, direction) for name, direction in order_by] if order_by else None
|
||||
|
||||
return querier.build_scalar_query(
|
||||
return querier.build_aggregation_query(
|
||||
name=name,
|
||||
signal="logs",
|
||||
aggregations=aggs,
|
||||
|
||||
@@ -52,7 +52,7 @@ def build_traces_query(
|
||||
gb = [querier.build_group_by_field(f, "string", "resource") for f in group_by] if group_by else None
|
||||
order = [querier.build_order_by(name, direction) for name, direction in order_by] if order_by else None
|
||||
|
||||
return querier.build_scalar_query(
|
||||
return querier.build_aggregation_query(
|
||||
name=name,
|
||||
signal="traces",
|
||||
aggregations=aggs,
|
||||
|
||||
@@ -48,7 +48,7 @@ def build_metrics_query(
|
||||
gb = [querier.build_group_by_field(f, "string", "attribute") for f in group_by] if group_by else None
|
||||
order = [querier.build_order_by(name, direction) for name, direction in order_by] if order_by else None
|
||||
|
||||
return querier.build_scalar_query(
|
||||
return querier.build_aggregation_query(
|
||||
name=name,
|
||||
signal="metrics",
|
||||
aggregations=aggs,
|
||||
|
||||
@@ -8,9 +8,9 @@ from fixtures.logs import Logs
|
||||
from fixtures.querier import (
|
||||
assert_scalar_result_order,
|
||||
build_aggregation,
|
||||
build_aggregation_query,
|
||||
build_group_by_field,
|
||||
build_order_by,
|
||||
build_scalar_query,
|
||||
get_scalar_table_data,
|
||||
make_scalar_query_request,
|
||||
)
|
||||
@@ -41,7 +41,7 @@ def test_logs_scalar_group_by_having(
|
||||
insert_logs(logs)
|
||||
token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
|
||||
|
||||
query = build_scalar_query(
|
||||
query = build_aggregation_query(
|
||||
name="A",
|
||||
signal="logs",
|
||||
aggregations=[build_aggregation("count()")],
|
||||
|
||||
@@ -9,10 +9,10 @@ from fixtures.auth import USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD
|
||||
from fixtures.metrics import Metrics
|
||||
from fixtures.querier import (
|
||||
assert_scalar_result_order,
|
||||
build_aggregation_query,
|
||||
build_group_by_field,
|
||||
build_metrics_aggregation,
|
||||
build_order_by,
|
||||
build_scalar_query,
|
||||
get_scalar_table_data,
|
||||
make_scalar_query_request,
|
||||
)
|
||||
@@ -59,7 +59,7 @@ def test_metrics_scalar_reduce_to_modes(
|
||||
|
||||
aggregation = build_metrics_aggregation("test.reduce.metric", "latest", "sum", "unspecified")
|
||||
aggregation["reduceTo"] = reduce_to
|
||||
query = build_scalar_query(
|
||||
query = build_aggregation_query(
|
||||
name="A",
|
||||
signal="metrics",
|
||||
aggregations=[aggregation],
|
||||
@@ -118,7 +118,7 @@ def test_metrics_scalar_limit_ranks_by_reduced_value(
|
||||
)
|
||||
token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
|
||||
|
||||
query = build_scalar_query(
|
||||
query = build_aggregation_query(
|
||||
name="A",
|
||||
signal="metrics",
|
||||
aggregations=[build_metrics_aggregation(metric_name, "latest", "sum", "unspecified", reduce_to=reduce_to)],
|
||||
@@ -175,7 +175,7 @@ def test_metrics_scalar_limit_ranks_after_functions(
|
||||
)
|
||||
token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
|
||||
|
||||
query = build_scalar_query(
|
||||
query = build_aggregation_query(
|
||||
name="A",
|
||||
signal="metrics",
|
||||
aggregations=[build_metrics_aggregation(metric_name, "latest", "sum", "unspecified", reduce_to="max")],
|
||||
@@ -200,7 +200,7 @@ def test_metrics_scalar_missing_reduce_to_rejected(
|
||||
now = datetime.now(tz=UTC).replace(second=0, microsecond=0)
|
||||
token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
|
||||
|
||||
query = build_scalar_query(
|
||||
query = build_aggregation_query(
|
||||
name="A",
|
||||
signal="metrics",
|
||||
aggregations=[build_metrics_aggregation("test.reduce.metric", "latest", "sum", "unspecified")],
|
||||
@@ -221,7 +221,7 @@ def test_metrics_scalar_invalid_reduce_to_rejected(
|
||||
|
||||
aggregation = build_metrics_aggregation("test.reduce.metric", "latest", "sum", "unspecified")
|
||||
aggregation["reduceTo"] = "p99"
|
||||
query = build_scalar_query(name="A", signal="metrics", aggregations=[aggregation])
|
||||
query = build_aggregation_query(name="A", signal="metrics", aggregations=[aggregation])
|
||||
response = make_scalar_query_request(signoz, token, now, [query])
|
||||
|
||||
assert response.status_code == HTTPStatus.BAD_REQUEST, response.text
|
||||
|
||||
@@ -8,9 +8,9 @@ from fixtures import types
|
||||
from fixtures.auth import USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD
|
||||
from fixtures.metrics import Metrics
|
||||
from fixtures.querier import (
|
||||
build_aggregation_query,
|
||||
build_group_by_field,
|
||||
build_metrics_aggregation,
|
||||
build_scalar_query,
|
||||
get_scalar_table_data,
|
||||
make_scalar_query_request,
|
||||
)
|
||||
@@ -52,7 +52,7 @@ def test_metrics_scalar_space_aggregations(
|
||||
insert_metrics([Metrics(metric_name="test.metric", labels={"service.name": service}, timestamp=now - timedelta(seconds=1), temporality="Unspecified", type_="Gauge", is_monotonic=False, value=value) for service, value in METRIC_VALUES.items()])
|
||||
token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
|
||||
|
||||
query = build_scalar_query(
|
||||
query = build_aggregation_query(
|
||||
name="A",
|
||||
signal="metrics",
|
||||
aggregations=[build_metrics_aggregation("test.metric", "latest", space_aggregation, "unspecified", reduce_to="last")],
|
||||
@@ -93,7 +93,7 @@ def test_metrics_scalar_having(
|
||||
insert_metrics([Metrics(metric_name="test.metric", labels={"service.name": service}, timestamp=now - timedelta(seconds=1), temporality="Unspecified", type_="Gauge", is_monotonic=False, value=value) for service, value in METRIC_VALUES.items()])
|
||||
token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
|
||||
|
||||
query = build_scalar_query(
|
||||
query = build_aggregation_query(
|
||||
name="A",
|
||||
signal="metrics",
|
||||
aggregations=[build_metrics_aggregation("test.metric", "latest", "sum", "unspecified", reduce_to="last")],
|
||||
|
||||
@@ -32,7 +32,7 @@ def test_logs_scalar_filter_unknown_key_synthesizes(
|
||||
token,
|
||||
now,
|
||||
[
|
||||
querier.build_scalar_query(
|
||||
querier.build_aggregation_query(
|
||||
name="A",
|
||||
signal="logs",
|
||||
aggregations=[querier.build_aggregation("count()")],
|
||||
@@ -64,7 +64,7 @@ def test_logs_scalar_group_by_over_empty_filter_returns_no_rows(
|
||||
token,
|
||||
now,
|
||||
[
|
||||
querier.build_scalar_query(
|
||||
querier.build_aggregation_query(
|
||||
name="A",
|
||||
signal="logs",
|
||||
aggregations=[querier.build_aggregation("count()")],
|
||||
@@ -95,7 +95,7 @@ def test_logs_scalar_group_by_unknown_key_null_bucket(
|
||||
token,
|
||||
now,
|
||||
[
|
||||
querier.build_scalar_query(
|
||||
querier.build_aggregation_query(
|
||||
name="A",
|
||||
signal="logs",
|
||||
aggregations=[querier.build_aggregation("count()")],
|
||||
@@ -142,7 +142,7 @@ def test_traces_scalar_filter_unknown_key_synthesizes(
|
||||
token,
|
||||
now,
|
||||
[
|
||||
querier.build_scalar_query(
|
||||
querier.build_aggregation_query(
|
||||
name="A",
|
||||
signal="traces",
|
||||
aggregations=[querier.build_aggregation("count()")],
|
||||
@@ -187,7 +187,7 @@ def test_traces_scalar_group_by_unknown_key_null_bucket(
|
||||
token,
|
||||
now,
|
||||
[
|
||||
querier.build_scalar_query(
|
||||
querier.build_aggregation_query(
|
||||
name="A",
|
||||
signal="traces",
|
||||
aggregations=[querier.build_aggregation("count()")],
|
||||
|
||||
@@ -11,11 +11,11 @@ from fixtures.metrics import Metrics
|
||||
from fixtures.querier import (
|
||||
RequestType,
|
||||
build_aggregation,
|
||||
build_aggregation_query,
|
||||
build_formula_query,
|
||||
build_group_by_field,
|
||||
build_metrics_aggregation,
|
||||
build_order_by,
|
||||
build_scalar_query,
|
||||
find_named_result,
|
||||
get_scalar_table_data,
|
||||
make_query_request,
|
||||
@@ -62,7 +62,7 @@ def test_logs_scalar_offset_skips_rows_in_order(
|
||||
token,
|
||||
now,
|
||||
[
|
||||
build_scalar_query(
|
||||
build_aggregation_query(
|
||||
name="A",
|
||||
signal="logs",
|
||||
aggregations=[build_aggregation("count()")],
|
||||
@@ -117,7 +117,7 @@ def test_traces_scalar_offset_skips_rows_in_order(
|
||||
token,
|
||||
now,
|
||||
[
|
||||
build_scalar_query(
|
||||
build_aggregation_query(
|
||||
name="A",
|
||||
signal="traces",
|
||||
aggregations=[build_aggregation("count()")],
|
||||
@@ -162,7 +162,7 @@ def test_metrics_scalar_offset_skips_rows_in_order(
|
||||
token,
|
||||
now,
|
||||
[
|
||||
build_scalar_query(
|
||||
build_aggregation_query(
|
||||
name="A",
|
||||
signal="metrics",
|
||||
aggregations=[build_metrics_aggregation("offset.gauge", "latest", "sum", "unspecified", reduce_to="last")],
|
||||
@@ -205,7 +205,7 @@ def test_formula_scalar_offset_skips_rows_in_order(
|
||||
end_ms=int(now.timestamp() * 1000),
|
||||
request_type=RequestType.SCALAR,
|
||||
queries=[
|
||||
build_scalar_query(
|
||||
build_aggregation_query(
|
||||
name="A",
|
||||
signal="logs",
|
||||
aggregations=[build_aggregation("count()")],
|
||||
@@ -240,7 +240,7 @@ def test_negative_offset_is_rejected(
|
||||
signoz,
|
||||
token,
|
||||
datetime.now(tz=UTC).replace(second=0, microsecond=0),
|
||||
[build_scalar_query(name="A", signal="logs", aggregations=[build_aggregation("count()")], offset=-1)],
|
||||
[build_aggregation_query(name="A", signal="logs", aggregations=[build_aggregation("count()")], offset=-1)],
|
||||
)
|
||||
|
||||
assert response.status_code == HTTPStatus.BAD_REQUEST, response.text
|
||||
@@ -257,7 +257,7 @@ def test_offset_without_limit_is_rejected(
|
||||
signoz,
|
||||
token,
|
||||
datetime.now(tz=UTC).replace(second=0, microsecond=0),
|
||||
[build_scalar_query(name="A", signal="logs", aggregations=[build_aggregation("count()")], offset=1)],
|
||||
[build_aggregation_query(name="A", signal="logs", aggregations=[build_aggregation("count()")], offset=1)],
|
||||
)
|
||||
|
||||
assert response.status_code == HTTPStatus.BAD_REQUEST, response.text
|
||||
|
||||
@@ -18,7 +18,7 @@ from fixtures.querier import (
|
||||
build_aggregation,
|
||||
build_group_by_field,
|
||||
build_order_by,
|
||||
build_traces_scalar_query,
|
||||
build_traces_aggregation_query,
|
||||
get_all_series,
|
||||
get_scalar_table_data,
|
||||
index_series_by_label,
|
||||
@@ -208,7 +208,7 @@ def test_traces_aggregate_functions(
|
||||
build_aggregation("rate_sum(duration_nano)", "rate_sum_d"),
|
||||
build_aggregation("avg(latency_ms)", "avg_lat"),
|
||||
]
|
||||
query = build_traces_scalar_query(
|
||||
query = build_traces_aggregation_query(
|
||||
aggregations=aggregations,
|
||||
group_by=[build_group_by_field("service.name", "string", "resource")],
|
||||
order=[build_order_by("count()", "desc")],
|
||||
@@ -284,7 +284,7 @@ def test_traces_aggregate_calculated_range_countif(
|
||||
|
||||
token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
|
||||
|
||||
query = build_traces_scalar_query(
|
||||
query = build_traces_aggregation_query(
|
||||
aggregations=[build_aggregation("countIf(response_status_code >= 400 AND response_status_code < 500)")],
|
||||
)
|
||||
response = make_scalar_query_request(signoz, token, now, [query])
|
||||
@@ -342,7 +342,7 @@ def test_traces_aggregate_having(
|
||||
|
||||
token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
|
||||
|
||||
query = build_traces_scalar_query(
|
||||
query = build_traces_aggregation_query(
|
||||
aggregations=[build_aggregation("count()")],
|
||||
group_by=[build_group_by_field("service.name", "string", "resource")],
|
||||
order=[build_order_by("count()", "desc")],
|
||||
@@ -418,7 +418,7 @@ def test_traces_aggregate_time_series_limit(
|
||||
|
||||
token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
|
||||
|
||||
query = build_traces_scalar_query(
|
||||
query = build_traces_aggregation_query(
|
||||
aggregations=[build_aggregation("count()")],
|
||||
group_by=[build_group_by_field("service.name", "string", "resource")],
|
||||
order=[build_order_by("count()", direction)],
|
||||
@@ -495,7 +495,7 @@ def test_traces_aggregate_unknown_key(
|
||||
|
||||
token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
|
||||
|
||||
query = build_traces_scalar_query(aggregations=[build_aggregation(expression)])
|
||||
query = build_traces_aggregation_query(aggregations=[build_aggregation(expression)])
|
||||
response = make_scalar_query_request(signoz, token, now, [query])
|
||||
|
||||
assert response.status_code == HTTPStatus.OK, response.text
|
||||
|
||||
@@ -12,7 +12,7 @@ from fixtures.querier import (
|
||||
build_aggregation,
|
||||
build_formula_query,
|
||||
build_group_by_field,
|
||||
build_traces_scalar_query,
|
||||
build_traces_aggregation_query,
|
||||
find_named_result,
|
||||
get_all_series,
|
||||
index_series_by_label,
|
||||
@@ -72,7 +72,7 @@ def test_traces_fill_plain(
|
||||
start_ms=int((now - timedelta(minutes=5)).timestamp() * 1000),
|
||||
end_ms=int(now.timestamp() * 1000),
|
||||
request_type=RequestType.TIME_SERIES,
|
||||
queries=[build_traces_scalar_query(aggregations=[build_aggregation("count()")], functions=functions)],
|
||||
queries=[build_traces_aggregation_query(aggregations=[build_aggregation("count()")], functions=functions)],
|
||||
format_options=format_options,
|
||||
)
|
||||
|
||||
@@ -138,7 +138,7 @@ def test_traces_fill_group_by(
|
||||
end_ms=int(now.timestamp() * 1000),
|
||||
request_type=RequestType.TIME_SERIES,
|
||||
queries=[
|
||||
build_traces_scalar_query(
|
||||
build_traces_aggregation_query(
|
||||
aggregations=[build_aggregation("count()")],
|
||||
group_by=[build_group_by_field("service.name", "string", "resource")],
|
||||
functions=functions,
|
||||
@@ -212,8 +212,8 @@ def test_traces_fill_formula(
|
||||
end_ms=int(now.timestamp() * 1000),
|
||||
request_type=RequestType.TIME_SERIES,
|
||||
queries=[
|
||||
build_traces_scalar_query(aggregations=[build_aggregation("count()")], filter_expression="resource.service.name = 'test'", disabled=True),
|
||||
build_traces_scalar_query(name="B", aggregations=[build_aggregation("count()")], filter_expression="resource.service.name = 'another-test'", disabled=True),
|
||||
build_traces_aggregation_query(aggregations=[build_aggregation("count()")], filter_expression="resource.service.name = 'test'", disabled=True),
|
||||
build_traces_aggregation_query(name="B", aggregations=[build_aggregation("count()")], filter_expression="resource.service.name = 'another-test'", disabled=True),
|
||||
build_formula_query("F1", "A + B", functions=functions),
|
||||
],
|
||||
format_options=format_options,
|
||||
@@ -284,8 +284,8 @@ def test_traces_fill_formula_group_by(
|
||||
end_ms=int(now.timestamp() * 1000),
|
||||
request_type=RequestType.TIME_SERIES,
|
||||
queries=[
|
||||
build_traces_scalar_query(aggregations=[build_aggregation("count()")], group_by=group_by, disabled=True),
|
||||
build_traces_scalar_query(name="B", aggregations=[build_aggregation("count()")], group_by=group_by, disabled=True),
|
||||
build_traces_aggregation_query(aggregations=[build_aggregation("count()")], group_by=group_by, disabled=True),
|
||||
build_traces_aggregation_query(name="B", aggregations=[build_aggregation("count()")], group_by=group_by, disabled=True),
|
||||
build_formula_query("F1", "A + B", functions=functions),
|
||||
],
|
||||
format_options=format_options,
|
||||
|
||||
@@ -9,7 +9,7 @@ from fixtures.querier import (
|
||||
assert_grouped_series,
|
||||
build_aggregation,
|
||||
build_group_by_field,
|
||||
build_traces_scalar_query,
|
||||
build_traces_aggregation_query,
|
||||
get_resource_evolution_time,
|
||||
index_series_by_label,
|
||||
make_query_request,
|
||||
@@ -99,7 +99,7 @@ def test_traces_resource_evolution(
|
||||
end_ms=int((before_1 + timedelta(minutes=1)).timestamp() * 1000),
|
||||
request_type=RequestType.TIME_SERIES,
|
||||
queries=[
|
||||
build_traces_scalar_query(
|
||||
build_traces_aggregation_query(
|
||||
aggregations=[build_aggregation("count()")],
|
||||
group_by=[build_group_by_field("service.name")],
|
||||
)
|
||||
@@ -131,7 +131,7 @@ def test_traces_resource_evolution(
|
||||
end_ms=int((after_2 + timedelta(minutes=1)).timestamp() * 1000),
|
||||
request_type=RequestType.TIME_SERIES,
|
||||
queries=[
|
||||
build_traces_scalar_query(
|
||||
build_traces_aggregation_query(
|
||||
aggregations=[build_aggregation("count()")],
|
||||
group_by=[build_group_by_field("service.name")],
|
||||
)
|
||||
@@ -163,7 +163,7 @@ def test_traces_resource_evolution(
|
||||
end_ms=int((after_2 + timedelta(minutes=1)).timestamp() * 1000),
|
||||
request_type=RequestType.TIME_SERIES,
|
||||
queries=[
|
||||
build_traces_scalar_query(
|
||||
build_traces_aggregation_query(
|
||||
aggregations=[build_aggregation("count()")],
|
||||
group_by=[build_group_by_field("service.name")],
|
||||
)
|
||||
@@ -202,7 +202,7 @@ def test_traces_resource_evolution(
|
||||
end_ms=int((after_2 + timedelta(minutes=1)).timestamp() * 1000),
|
||||
request_type=RequestType.TIME_SERIES,
|
||||
queries=[
|
||||
build_traces_scalar_query(
|
||||
build_traces_aggregation_query(
|
||||
aggregations=[build_aggregation("count_distinct(service.name)")],
|
||||
group_by=[build_group_by_field("deployment.environment")],
|
||||
)
|
||||
|
||||
@@ -10,7 +10,7 @@ from fixtures.querier import (
|
||||
RequestType,
|
||||
build_aggregation,
|
||||
build_group_by_field,
|
||||
build_traces_scalar_query,
|
||||
build_traces_aggregation_query,
|
||||
index_series_by_label,
|
||||
make_query_request,
|
||||
)
|
||||
@@ -71,7 +71,7 @@ def test_traces_aggregate_min_max(
|
||||
end_ms=int((now + timedelta(seconds=5)).timestamp() * 1000),
|
||||
request_type=RequestType.TIME_SERIES,
|
||||
queries=[
|
||||
build_traces_scalar_query(
|
||||
build_traces_aggregation_query(
|
||||
aggregations=[
|
||||
build_aggregation("max(duration_nano)", "maxDuration"),
|
||||
build_aggregation("min(duration_nano)", "minDuration"),
|
||||
|
||||
@@ -11,7 +11,7 @@ from fixtures.querier import (
|
||||
build_aggregation,
|
||||
build_group_by_field,
|
||||
build_raw_query,
|
||||
build_traces_scalar_query,
|
||||
build_traces_aggregation_query,
|
||||
get_rows,
|
||||
get_scalar_table_data,
|
||||
make_query_request,
|
||||
@@ -44,7 +44,7 @@ def test_traces_filter_unknown_key_synthesizes(
|
||||
end_ms=int(now.timestamp() * 1000),
|
||||
request_type=RequestType.SCALAR,
|
||||
queries=[
|
||||
build_traces_scalar_query(
|
||||
build_traces_aggregation_query(
|
||||
[build_aggregation("count()")],
|
||||
filter_expression='totally.unknown.key = "x"',
|
||||
)
|
||||
@@ -152,7 +152,7 @@ def test_traces_group_by_unknown_key_null_bucket(
|
||||
end_ms=int(now.timestamp() * 1000),
|
||||
request_type=RequestType.SCALAR,
|
||||
queries=[
|
||||
build_traces_scalar_query(
|
||||
build_traces_aggregation_query(
|
||||
[build_aggregation("count()")],
|
||||
group_by=[build_group_by_field("totally.unknown.key", field_data_type="", field_context="")],
|
||||
filter_expression='service.name = "groupby-unknown-svc"',
|
||||
|
||||
@@ -11,7 +11,7 @@ from fixtures.querier import (
|
||||
build_aggregation,
|
||||
build_group_by_field,
|
||||
build_order_by,
|
||||
build_traces_scalar_query,
|
||||
build_traces_aggregation_query,
|
||||
get_scalar_table_data,
|
||||
make_scalar_query_request,
|
||||
)
|
||||
@@ -73,7 +73,7 @@ def test_traces_aggregate_percentiles(
|
||||
token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
|
||||
|
||||
percentiles = [25, 50, 90, 95, 99]
|
||||
query = build_traces_scalar_query(
|
||||
query = build_traces_aggregation_query(
|
||||
aggregations=[build_aggregation(f"p{p}(duration_nano)", f"p{p}") for p in percentiles],
|
||||
)
|
||||
response = make_scalar_query_request(signoz, token, now, [query])
|
||||
@@ -138,7 +138,7 @@ def test_traces_aggregate_group_by_non_resource(
|
||||
|
||||
token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
|
||||
|
||||
query = build_traces_scalar_query(
|
||||
query = build_traces_aggregation_query(
|
||||
aggregations=[build_aggregation("count()")],
|
||||
group_by=[build_group_by_field(group_key, field_data_type="", field_context="")],
|
||||
filter_expression="resource.service.name = 'gb-svc'",
|
||||
@@ -193,7 +193,7 @@ def test_traces_aggregate_multi_group_by(
|
||||
|
||||
token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
|
||||
|
||||
query = build_traces_scalar_query(
|
||||
query = build_traces_aggregation_query(
|
||||
aggregations=[build_aggregation("count()")],
|
||||
group_by=[
|
||||
build_group_by_field("service.name", "string", "resource"),
|
||||
@@ -262,7 +262,7 @@ def test_traces_aggregate_having_breadth(
|
||||
|
||||
token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
|
||||
|
||||
query = build_traces_scalar_query(
|
||||
query = build_traces_aggregation_query(
|
||||
aggregations=[build_aggregation("count()"), build_aggregation("sum(duration_nano)")],
|
||||
group_by=[build_group_by_field("service.name", "string", "resource")],
|
||||
order=[build_order_by("count()", "desc")],
|
||||
@@ -325,7 +325,7 @@ def test_traces_duration_nano_qol_filter_with_collision(
|
||||
|
||||
token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
|
||||
|
||||
query = build_traces_scalar_query(
|
||||
query = build_traces_aggregation_query(
|
||||
aggregations=[build_aggregation("count()", "cnt")],
|
||||
filter_expression=duration_filter,
|
||||
)
|
||||
|
||||
@@ -12,7 +12,7 @@ from fixtures.querier import (
|
||||
assert_grouped_series,
|
||||
build_aggregation,
|
||||
build_group_by_field,
|
||||
build_traces_scalar_query,
|
||||
build_traces_aggregation_query,
|
||||
get_all_warnings,
|
||||
get_preview_sql,
|
||||
get_rows,
|
||||
@@ -90,7 +90,7 @@ def test_traces_attributes_json_evolution(
|
||||
end_ms=int((before_1 + timedelta(minutes=1)).timestamp() * 1000),
|
||||
request_type=RequestType.TIME_SERIES,
|
||||
queries=[
|
||||
build_traces_scalar_query(
|
||||
build_traces_aggregation_query(
|
||||
aggregations=[build_aggregation("count()")],
|
||||
group_by=[build_group_by_field("http.route", field_context="attribute")],
|
||||
)
|
||||
@@ -114,7 +114,7 @@ def test_traces_attributes_json_evolution(
|
||||
end_ms=int((after_2 + timedelta(minutes=1)).timestamp() * 1000),
|
||||
request_type=RequestType.TIME_SERIES,
|
||||
queries=[
|
||||
build_traces_scalar_query(
|
||||
build_traces_aggregation_query(
|
||||
aggregations=[build_aggregation("count()")],
|
||||
group_by=[build_group_by_field("http.route", field_context="attribute")],
|
||||
)
|
||||
@@ -138,7 +138,7 @@ def test_traces_attributes_json_evolution(
|
||||
end_ms=int((after_2 + timedelta(minutes=1)).timestamp() * 1000),
|
||||
request_type=RequestType.TIME_SERIES,
|
||||
queries=[
|
||||
build_traces_scalar_query(
|
||||
build_traces_aggregation_query(
|
||||
aggregations=[build_aggregation("count()")],
|
||||
group_by=[build_group_by_field("http.route", field_context="attribute")],
|
||||
)
|
||||
@@ -212,7 +212,7 @@ def test_traces_attributes_json_typed_filters(
|
||||
end_ms=end_ms,
|
||||
request_type=RequestType.TIME_SERIES,
|
||||
queries=[
|
||||
build_traces_scalar_query(
|
||||
build_traces_aggregation_query(
|
||||
aggregations=[build_aggregation("count()")],
|
||||
group_by=[build_group_by_field("http.route", field_context="attribute")],
|
||||
filter_expression=filter_expression,
|
||||
@@ -291,7 +291,7 @@ def test_traces_attributes_json_collision_and_map_parity(
|
||||
end_ms=end_ms,
|
||||
request_type=RequestType.TIME_SERIES,
|
||||
queries=[
|
||||
build_traces_scalar_query(
|
||||
build_traces_aggregation_query(
|
||||
aggregations=[build_aggregation("count()")],
|
||||
group_by=[build_group_by_field("app.status", field_context="attribute")],
|
||||
filter_expression="app.status EXISTS",
|
||||
@@ -325,7 +325,7 @@ def test_traces_attributes_json_collision_and_map_parity(
|
||||
end_ms=end_ms,
|
||||
request_type=RequestType.TIME_SERIES,
|
||||
queries=[
|
||||
build_traces_scalar_query(
|
||||
build_traces_aggregation_query(
|
||||
aggregations=[build_aggregation("count()")],
|
||||
group_by=[build_group_by_field("http.route", field_context="attribute")],
|
||||
filter_expression=filter_expression,
|
||||
@@ -382,7 +382,7 @@ def test_traces_attributes_json_number_reads(
|
||||
end_ms=end_ms,
|
||||
request_type=RequestType.TIME_SERIES,
|
||||
queries=[
|
||||
build_traces_scalar_query(
|
||||
build_traces_aggregation_query(
|
||||
aggregations=[build_aggregation("count()")],
|
||||
group_by=[build_group_by_field("http.route", field_context="attribute")],
|
||||
filter_expression=filter_expression,
|
||||
@@ -513,7 +513,7 @@ def test_traces_attributes_json_unreported_key(
|
||||
insert_traces(spans)
|
||||
|
||||
queries = [
|
||||
build_traces_scalar_query(
|
||||
build_traces_aggregation_query(
|
||||
aggregations=[build_aggregation("count()")],
|
||||
filter_expression="unreported.key = 'value'",
|
||||
)
|
||||
@@ -523,11 +523,11 @@ def test_traces_attributes_json_unreported_key(
|
||||
start_ms = int((before - timedelta(minutes=1)).timestamp() * 1000)
|
||||
end_ms = int((before + timedelta(minutes=1)).timestamp() * 1000)
|
||||
|
||||
sql = get_preview_sql(make_preview_query_request(signoz, token, start_ms=start_ms, end_ms=end_ms, queries=queries), "A")
|
||||
sql = get_preview_sql(make_preview_query_request(signoz, token, start_ms=start_ms, end_ms=end_ms, queries=queries, request_type=RequestType.TIME_SERIES), "A")
|
||||
assert "attributes_string['unreported.key']" in sql
|
||||
assert "attributes.`unreported.key`" not in sql
|
||||
|
||||
response = make_query_request(signoz, token, start_ms=start_ms, end_ms=end_ms, queries=queries)
|
||||
response = make_query_request(signoz, token, start_ms=start_ms, end_ms=end_ms, queries=queries, request_type=RequestType.TIME_SERIES)
|
||||
assert response.status_code == HTTPStatus.OK
|
||||
series = response.json()["data"]["data"]["results"][0]["aggregations"][0]["series"]
|
||||
assert [value["value"] for value in series[0]["values"]] == [1]
|
||||
@@ -537,11 +537,11 @@ def test_traces_attributes_json_unreported_key(
|
||||
start_ms = int((after - timedelta(minutes=1)).timestamp() * 1000)
|
||||
end_ms = int((after + timedelta(minutes=1)).timestamp() * 1000)
|
||||
|
||||
sql = get_preview_sql(make_preview_query_request(signoz, token, start_ms=start_ms, end_ms=end_ms, queries=queries), "A")
|
||||
sql = get_preview_sql(make_preview_query_request(signoz, token, start_ms=start_ms, end_ms=end_ms, queries=queries, request_type=RequestType.TIME_SERIES), "A")
|
||||
assert "attributes.`unreported.key`" in sql
|
||||
assert "attributes_string" not in sql
|
||||
|
||||
response = make_query_request(signoz, token, start_ms=start_ms, end_ms=end_ms, queries=queries)
|
||||
response = make_query_request(signoz, token, start_ms=start_ms, end_ms=end_ms, queries=queries, request_type=RequestType.TIME_SERIES)
|
||||
assert response.status_code == HTTPStatus.OK
|
||||
series = response.json()["data"]["data"]["results"][0]["aggregations"][0]["series"]
|
||||
assert [value["value"] for value in series[0]["values"]] == [1]
|
||||
|
||||
@@ -7,7 +7,7 @@ import requests
|
||||
|
||||
from fixtures import types
|
||||
from fixtures.auth import USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD
|
||||
from fixtures.querier import RequestType, build_aggregation, build_traces_scalar_query, get_preview_statements, make_preview_query_request
|
||||
from fixtures.querier import RequestType, build_aggregation, build_traces_aggregation_query, get_preview_statements, make_preview_query_request
|
||||
from fixtures.traces import ATTRIBUTE_JSON_ROLLOUT_TIME, Traces
|
||||
|
||||
PROMOTED_PATHS = "/api/v1/promoted_paths"
|
||||
@@ -72,7 +72,7 @@ def test_traces_filters_use_skip_indexes(
|
||||
end_ms=int(now.timestamp() * 1000),
|
||||
request_type=RequestType.SCALAR,
|
||||
# count() over primary-key filters is answered by the exact count projection, which reads no index
|
||||
queries=[build_traces_scalar_query(aggregations=[build_aggregation("sum(duration_nano)")], filter_expression=filter_expression)],
|
||||
queries=[build_traces_aggregation_query(aggregations=[build_aggregation("sum(duration_nano)")], filter_expression=filter_expression)],
|
||||
),
|
||||
"A",
|
||||
)
|
||||
|
||||
@@ -10,11 +10,11 @@ from fixtures.metadata import AttributesMetadata, get_field_keys, get_field_valu
|
||||
from fixtures.querier import (
|
||||
RequestType,
|
||||
build_aggregation,
|
||||
build_aggregation_query,
|
||||
build_group_by_field,
|
||||
build_order_by,
|
||||
build_raw_query,
|
||||
build_scalar_query,
|
||||
build_traces_scalar_query,
|
||||
build_traces_aggregation_query,
|
||||
get_all_warnings,
|
||||
get_column_data_from_response,
|
||||
get_scalar_columns,
|
||||
@@ -178,7 +178,7 @@ def test_group_by_merges_and_echoes_requested_spelling(
|
||||
end_ms=int((family_fleet + timedelta(minutes=1)).timestamp() * 1000),
|
||||
request_type=RequestType.SCALAR,
|
||||
queries=[
|
||||
build_traces_scalar_query(
|
||||
build_traces_aggregation_query(
|
||||
[build_aggregation("count_distinct(name)")],
|
||||
filter_expression=f"service.name LIKE '{PREFIX}%'",
|
||||
group_by=[build_group_by_field(requested_key, "string", "resource")],
|
||||
@@ -214,7 +214,7 @@ def test_log_group_by_merges_and_echoes_requested_spelling(
|
||||
end_ms=int((family_fleet + timedelta(minutes=1)).timestamp() * 1000),
|
||||
request_type=RequestType.SCALAR,
|
||||
queries=[
|
||||
build_scalar_query(
|
||||
build_aggregation_query(
|
||||
name="A",
|
||||
signal="logs",
|
||||
aggregations=[build_aggregation("count_distinct(body)")],
|
||||
@@ -245,7 +245,7 @@ def test_time_series_group_by_merges_family(
|
||||
end_ms=int((family_fleet + timedelta(minutes=1)).timestamp() * 1000),
|
||||
request_type=RequestType.TIME_SERIES,
|
||||
queries=[
|
||||
build_traces_scalar_query(
|
||||
build_traces_aggregation_query(
|
||||
[build_aggregation("count_distinct(name)")],
|
||||
filter_expression=f"service.name LIKE '{PREFIX}%'",
|
||||
group_by=[build_group_by_field(CURRENT_KEY, "string", "resource")],
|
||||
|
||||
@@ -9,9 +9,9 @@ from fixtures.auth import USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD
|
||||
from fixtures.metrics import Metrics
|
||||
from fixtures.querier import (
|
||||
RequestType,
|
||||
build_aggregation_query,
|
||||
build_group_by_field,
|
||||
build_metrics_aggregation,
|
||||
build_scalar_query,
|
||||
get_scalar_columns,
|
||||
get_scalar_table_data,
|
||||
make_query_request,
|
||||
@@ -40,7 +40,7 @@ def test_metric_label_filter_merges_stored_spellings(
|
||||
end_ms=int(metric_family_fleet.timestamp() * 1000),
|
||||
request_type=RequestType.SCALAR,
|
||||
queries=[
|
||||
build_scalar_query(
|
||||
build_aggregation_query(
|
||||
name="A",
|
||||
signal="metrics",
|
||||
aggregations=[build_metrics_aggregation(LABEL_METRIC, "latest", "sum", "unspecified", reduce_to="last")],
|
||||
@@ -69,7 +69,7 @@ def test_metric_label_group_by_merges_stored_spellings(
|
||||
end_ms=int(metric_family_fleet.timestamp() * 1000),
|
||||
request_type=RequestType.SCALAR,
|
||||
queries=[
|
||||
build_scalar_query(
|
||||
build_aggregation_query(
|
||||
name="A",
|
||||
signal="metrics",
|
||||
aggregations=[build_metrics_aggregation(LABEL_METRIC, "latest", "sum", "unspecified", reduce_to="last")],
|
||||
@@ -113,7 +113,7 @@ def test_span_metric_label_filter_reads_resource_layout(
|
||||
end_ms=int(metric_family_fleet.timestamp() * 1000),
|
||||
request_type=RequestType.SCALAR,
|
||||
queries=[
|
||||
build_scalar_query(
|
||||
build_aggregation_query(
|
||||
name="A",
|
||||
signal="metrics",
|
||||
aggregations=[build_metrics_aggregation(SPAN_METRIC, "latest", "sum", "unspecified", reduce_to="last")],
|
||||
@@ -142,7 +142,7 @@ def test_metric_name_family_unions_storage_names(
|
||||
end_ms=int(metric_family_fleet.timestamp() * 1000),
|
||||
request_type=RequestType.SCALAR,
|
||||
queries=[
|
||||
build_scalar_query(
|
||||
build_aggregation_query(
|
||||
name="A",
|
||||
signal="metrics",
|
||||
aggregations=[build_metrics_aggregation(requested, "latest", "sum", "unspecified", reduce_to="last")],
|
||||
@@ -177,7 +177,7 @@ def test_metric_name_union_double_counts_dual_emission(
|
||||
end_ms=int(now.timestamp() * 1000),
|
||||
request_type=RequestType.SCALAR,
|
||||
queries=[
|
||||
build_scalar_query(
|
||||
build_aggregation_query(
|
||||
name="A",
|
||||
signal="metrics",
|
||||
aggregations=[build_metrics_aggregation(CURRENT_NAME_METRIC, "latest", "sum", "unspecified", reduce_to="last")],
|
||||
@@ -203,7 +203,7 @@ def test_metric_family_stays_literal_with_flag_off(
|
||||
end_ms=int(metric_family_fleet.timestamp() * 1000),
|
||||
request_type=RequestType.SCALAR,
|
||||
queries=[
|
||||
build_scalar_query(
|
||||
build_aggregation_query(
|
||||
name="A",
|
||||
signal="metrics",
|
||||
aggregations=[build_metrics_aggregation(LABEL_METRIC, "latest", "sum", "unspecified", reduce_to="last")],
|
||||
@@ -223,7 +223,7 @@ def test_metric_family_stays_literal_with_flag_off(
|
||||
end_ms=int(metric_family_fleet.timestamp() * 1000),
|
||||
request_type=RequestType.SCALAR,
|
||||
queries=[
|
||||
build_scalar_query(
|
||||
build_aggregation_query(
|
||||
name="A",
|
||||
signal="metrics",
|
||||
aggregations=[build_metrics_aggregation(OLD_NAME_METRIC, "latest", "sum", "unspecified", reduce_to="last")],
|
||||
|
||||
Reference in New Issue
Block a user