Fix Query metrics tests (#49)

Co-authored-by: ci.datadog-api-spec <packages@datadoghq.com>
Co-authored-by: api-clients-generation-pipeline[bot] <54105614+api-clients-generation-pipeline[bot]@users.noreply.github.com>

Author: api-clients-generation-pipeline[bot]

.apigentools-info

@@ -4,13 +4,13 @@
     "spec_versions": {
         "v1": {
             "apigentools_version": "1.6.6",
-            "regenerated": "2024-03-22 19:28:41.088189",
-            "spec_repo_commit": "b8f385dc"
+            "regenerated": "2024-03-25 19:47:36.411155",
+            "spec_repo_commit": "f9b6a1cc"
         },
         "v2": {
             "apigentools_version": "1.6.6",
-            "regenerated": "2024-03-22 19:28:41.109696",
-            "spec_repo_commit": "b8f385dc"
+            "regenerated": "2024-03-25 19:47:36.455068",
+            "spec_repo_commit": "f9b6a1cc"
         }
     }
 }

examples/v2_metrics_query_scalar_data_3112571352.rs

@@ -17,7 +17,7 @@ use datadog_api_client::datadogV2::model::ScalarQuery;
 async fn main() {
     let body = ScalarFormulaQueryRequest::new(ScalarFormulaRequest::new(
         ScalarFormulaRequestAttributes::new(
-            1671612804000,
+            1636625471000,
             vec![ScalarQuery::MetricsScalarQuery(Box::new(
                 MetricsScalarQuery::new(
                     MetricsAggregator::AVG,
@@ -26,7 +26,7 @@ async fn main() {
                 )
                 .name("a".to_string()),
             ))],
-            1671620004000,
+            1636629071000,
         )
         .formulas(vec![QueryFormula::new("a".to_string())
             .limit(FormulaLimit::new().count(10).order(QuerySortOrder::DESC))]),

examples/v2_metrics_query_timeseries_data_301142940.rs

@@ -16,15 +16,15 @@ use datadog_api_client::datadogV2::model::TimeseriesQuery;
 async fn main() {
     let body = TimeseriesFormulaQueryRequest::new(TimeseriesFormulaRequest::new(
         TimeseriesFormulaRequestAttributes::new(
-            1671612804000,
+            1636625471000,
             vec![TimeseriesQuery::MetricsTimeseriesQuery(Box::new(
                 MetricsTimeseriesQuery::new(
                     MetricsDataSource::METRICS,
                     "avg:system.cpu.user{*}".to_string(),
                 )
                 .name("a".to_string()),
             ))],
-            1671620004000,
+            1636629071000,
         )
         .formulas(vec![QueryFormula::new("a".to_string())
             .limit(FormulaLimit::new().count(10).order(QuerySortOrder::DESC))])

tests/scenarios/cassettes/v2/metrics/Scalar-cross-product-query-returns-OK-response.frozen

@@ -1 +1 @@
-2022-12-21T11:14:01.142Z
+2024-03-25T19:28:00.854Z

tests/scenarios/cassettes/v2/metrics/Scalar-cross-product-query-returns-OK-response.json

@@ -3,7 +3,7 @@
     {
       "request": {
         "body": {
-          "string": "{\"data\":{\"attributes\":{\"formulas\":[{\"formula\":\"a\",\"limit\":{\"count\":10,\"order\":\"desc\"}}],\"from\":1671612804000,\"queries\":[{\"aggregator\":\"avg\",\"data_source\":\"metrics\",\"name\":\"a\",\"query\":\"avg:system.cpu.user{*}\"}],\"to\":1671620004000},\"type\":\"scalar_request\"}}",
+          "string": "{\"data\":{\"attributes\":{\"formulas\":[{\"formula\":\"a\",\"limit\":{\"count\":10,\"order\":\"desc\"}}],\"from\":1711391280000,\"queries\":[{\"aggregator\":\"avg\",\"data_source\":\"metrics\",\"name\":\"a\",\"query\":\"avg:system.cpu.user{*}\"}],\"to\":1711394880000},\"type\":\"scalar_request\"}}",
           "encoding": null
         },
         "headers": {
@@ -19,7 +19,7 @@
       },
       "response": {
         "body": {
-          "string": "{\"data\":{\"type\":\"scalar_response\",\"attributes\":{\"columns\":[{\"name\":\"a\",\"values\":[5.173633659114822],\"type\":\"number\",\"meta\":{\"unit\":[{\"scale_factor\":1.0,\"id\":17,\"name\":\"percent\",\"plural\":\"percent\",\"family\":\"percentage\",\"short_name\":\"%\"},null]}}]}}}",
+          "string": "{\"data\":{\"type\":\"scalar_response\",\"attributes\":{\"columns\":[{\"values\":[6.368151928283307],\"name\":\"a\",\"meta\":{\"unit\":[{\"short_name\":\"%\",\"id\":17,\"plural\":\"percent\",\"name\":\"percent\",\"family\":\"percentage\",\"scale_factor\":1.0},null]},\"type\":\"number\"}]}}}",
           "encoding": null
         },
         "headers": {
@@ -32,7 +32,7 @@
           "message": "OK"
         }
       },
-      "recorded_at": "Wed, 21 Dec 2022 11:14:01 GMT"
+      "recorded_at": "Mon, 25 Mar 2024 19:28:00 GMT"
     }
   ],
   "recorded_with": "VCR 6.0.0"

tests/scenarios/cassettes/v2/metrics/Timeseries-cross-product-query-returns-OK-response.frozen

@@ -1 +1 @@
-2022-12-21T11:14:01.814Z
+2024-03-25T19:28:01.413Z

tests/scenarios/cassettes/v2/metrics/Timeseries-cross-product-query-returns-OK-response.json

@@ -311,7 +311,7 @@ Feature: Metrics
     Given a valid "appKeyAuth" key in the system
     And operation "QueryScalarData" enabled
     And new "QueryScalarData" request
-    And body with value {"data": {"attributes": {"formulas": [{"formula": "a", "limit": {"count": 10, "order": "desc"}}], "from": 1671612804000, "queries": [{"aggregator": "avg", "data_source": "metrics", "query": "avg:system.cpu.user{*}", "name": "a"}], "to": 1671620004000}, "type": "scalar_request"}}
+    And body with value {"data": {"attributes": {"formulas": [{"formula": "a", "limit": {"count": 10, "order": "desc"}}], "from": {{ timestamp('now - 1h') }}000, "queries": [{"aggregator": "avg", "data_source": "metrics", "query": "avg:system.cpu.user{*}", "name": "a"}], "to": {{ timestamp('now') }}000}, "type": "scalar_request"}}
     When the request is sent
     Then the response status is 200 OK
     And the response "data.type" is equal to "scalar_response"
@@ -385,7 +385,7 @@ Feature: Metrics
     Given a valid "appKeyAuth" key in the system
     And operation "QueryTimeseriesData" enabled
     And new "QueryTimeseriesData" request
-    And body with value {"data": {"attributes": {"formulas": [{"formula": "a", "limit": {"count": 10, "order": "desc"}}], "from": 1671612804000, "interval": 5000, "queries": [{"data_source": "metrics", "query": "avg:system.cpu.user{*}", "name": "a"}], "to": 1671620004000}, "type": "timeseries_request"}}
+    And body with value {"data": {"attributes": {"formulas": [{"formula": "a", "limit": {"count": 10, "order": "desc"}}], "from": {{ timestamp('now - 1h') }}000, "interval": 5000, "queries": [{"data_source": "metrics", "query": "avg:system.cpu.user{*}", "name": "a"}], "to": {{ timestamp('now') }}000}, "type": "timeseries_request"}}
     When the request is sent
     Then the response status is 200 OK
     And the response "data.type" is equal to "timeseries_response"