Fix Query metrics tests (#1575)

Co-authored-by: ci.datadog-api-spec <[email protected]>
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 19:28:34.416292",
-            "spec_repo_commit": "b8f385dc"
+            "regenerated": "2024-03-25 19:47:33.782497",
+            "spec_repo_commit": "f9b6a1cc"
         },
         "v2": {
             "apigentools_version": "1.6.6",
-            "regenerated": "2024-03-22 19:28:34.433708",
-            "spec_repo_commit": "b8f385dc"
+            "regenerated": "2024-03-25 19:47:33.800132",
+            "spec_repo_commit": "f9b6a1cc"
         }
     }
 }

cassettes/v2/Metrics_2046978582/Scalar-cross-product-query-returns-OK-response_2265152344/frozen.json

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

cassettes/v2/Metrics_2046978582/Scalar-cross-product-query-returns-OK-response_2265152344/recording.har

@@ -8,7 +8,7 @@
     },
     "entries": [
       {
-        "_id": "f1478dc8332c5603c2b07da458f229dc",
+        "_id": "66313324595ff213f95c9bd439cb53e4",
         "_order": 0,
         "cache": {},
         "request": {
@@ -26,13 +26,13 @@
               "value": "application/json"
             }
           ],
-          "headersSize": 562,
+          "headersSize": 559,
           "httpVersion": "HTTP/1.1",
           "method": "POST",
           "postData": {
             "mimeType": "application/json",
             "params": [],
-            "text": "{\"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\"}}"
+            "text": "{\"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\"}}"
           },
           "queryString": [],
           "url": "https://api.datadoghq.com/api/v2/query/scalar"
@@ -42,7 +42,7 @@
           "content": {
             "mimeType": "application/json",
             "size": 247,
-            "text": "{\"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]}}]}}}"
+            "text": "{\"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\"}]}}}"
           },
           "cookies": [],
           "headers": [
@@ -51,14 +51,14 @@
               "value": "application/json"
             }
           ],
-          "headersSize": 626,
+          "headersSize": 653,
           "httpVersion": "HTTP/1.1",
           "redirectURL": "",
           "status": 200,
           "statusText": "OK"
         },
-        "startedDateTime": "2022-12-21T11:14:01.147Z",
-        "time": 427
+        "startedDateTime": "2024-03-25T19:28:01.254Z",
+        "time": 146
       }
     ],
     "pages": [],

cassettes/v2/Metrics_2046978582/Timeseries-cross-product-query-returns-OK-response_1643865340/frozen.json

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

cassettes/v2/Metrics_2046978582/Timeseries-cross-product-query-returns-OK-response_1643865340/recording.har

@@ -21,7 +21,7 @@ const params: v2.MetricsApiQueryScalarDataRequest = {
             },
           },
         ],
-        from: 1671612804000,
+        from: 1636625471000,
         queries: [
           {
             aggregator: "avg",
@@ -30,7 +30,7 @@ const params: v2.MetricsApiQueryScalarDataRequest = {
             name: "a",
           },
         ],
-        to: 1671620004000,
+        to: 1636629071000,
       },
       type: "scalar_request",
     },

examples/v2/metrics/QueryScalarData_3112571352.ts

@@ -21,7 +21,7 @@ const params: v2.MetricsApiQueryTimeseriesDataRequest = {
             },
           },
         ],
-        from: 1671612804000,
+        from: 1636625471000,
         interval: 5000,
         queries: [
           {
@@ -30,7 +30,7 @@ const params: v2.MetricsApiQueryTimeseriesDataRequest = {
             name: "a",
           },
         ],
-        to: 1671620004000,
+        to: 1636629071000,
       },
       type: "timeseries_request",
     },

examples/v2/metrics/QueryTimeseriesData_301142940.ts

@@ -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"