from openlayer import Openlayer

client = Openlayer()

test_results = client.commits.test_results.list(
    "b4dd9ab3-0dd8-41cd-a56c-15b8fcc5ff20",
    status="failing",
)
for test_result in test_results.items:
    print(test_result.id, test_result.status)

import Openlayer from 'openlayer';

const client = new Openlayer();

const testResults = await client.commits.testResults.list('b4dd9ab3-0dd8-41cd-a56c-15b8fcc5ff20', {
  status: 'failing',
});

console.log(testResults.items);

package main

import (
	"context"
	"fmt"

	"github.com/openlayer-ai/openlayer-go"
)

client := openlayer.NewClient()
results, err := client.Commits.TestResults.List(
	context.TODO(),
	"b4dd9ab3-0dd8-41cd-a56c-15b8fcc5ff20",
	openlayer.CommitTestResultListParams{
		Status: openlayer.F(openlayer.CommitTestResultListParamsStatusFailing),
	},
)
if err != nil {
	panic(err.Error())
}
fmt.Printf("%+v\n", results.Items)

import com.openlayer.api.client.OpenlayerClient;
import com.openlayer.api.client.okhttp.OpenlayerOkHttpClient;
import com.openlayer.api.models.commits.testresults.TestResultListParams;
import com.openlayer.api.models.commits.testresults.TestResultListResponse;

OpenlayerClient client = OpenlayerOkHttpClient.fromEnv();

TestResultListParams params = TestResultListParams.builder()
    .projectVersionId("b4dd9ab3-0dd8-41cd-a56c-15b8fcc5ff20")
    .status(TestResultListParams.Status.FAILING)
    .build();
TestResultListResponse testResults = client.commits().testResults().list(params);

require "openlayer"

openlayer = Openlayer::Client.new(api_key: ENV["OPENLAYER_API_KEY"])

test_results = openlayer.commits.test_results.list(
  "b4dd9ab3-0dd8-41cd-a56c-15b8fcc5ff20",
  status: :failing
)

puts(test_results)

curl --request GET \
  --url https://api.openlayer.com/v1/versions/{projectVersionId}/results \
  --header 'Authorization: Bearer <token>'

{
  "items": [
    {
      "id": "3fa85f64-5717-4562-b3fc-2c963f66afa6",
      "projectVersionId": "3fa85f64-5717-4562-b3fc-2c963f66afa6",
      "inferencePipelineId": "3fa85f64-5717-4562-b3fc-2c963f66afa6",
      "dateCreated": "2024-03-22T11:31:01.185Z",
      "dateUpdated": "2024-03-22T11:31:01.185Z",
      "dateDataStarts": "2024-03-22T11:31:01.185Z",
      "dateDataEnds": "2024-03-22T11:31:01.185Z",
      "status": "passing",
      "statusMessage": "Test successfully processed.",
      "goal": {
        "id": "3fa85f64-5717-4562-b3fc-2c963f66afa6",
        "number": 1,
        "name": "No duplicate rows",
        "dateCreated": "2024-03-22T11:31:01.185Z",
        "dateUpdated": "2024-03-22T11:31:01.185Z",
        "description": "This test checks for duplicate rows in the dataset.",
        "type": "integrity",
        "subtype": "duplicateRowCount",
        "creatorId": "589ece63-49a2-41b4-98e1-10547761d4b0",
        "originProjectVersionId": "3fa85f64-5717-4562-b3fc-2c963f66afa6",
        "thresholds": [
          {
            "measurement": "duplicateRowCount",
            "insightName": "duplicateRowCount",
            "insightParameters": [
              {
                "name": "column_name",
                "value": "<unknown>"
              }
            ],
            "thresholdMode": "manual",
            "operator": "<=",
            "value": 0
          }
        ],
        "dateArchived": "2024-03-22T11:31:01.185Z",
        "suggested": false,
        "commentCount": 0,
        "evaluationWindow": 3600,
        "delayWindow": 0,
        "archived": false,
        "usesMlModel": false,
        "usesValidationDataset": true,
        "usesTrainingDataset": false,
        "usesReferenceDataset": false,
        "usesProductionData": false
      },
      "goalId": "3fa85f64-5717-4562-b3fc-2c963f66afa6",
      "expectedValues": [
        {
          "measurement": "<string>",
          "upperThreshold": 123,
          "lowerThreshold": 123
        }
      ],
      "rows": "https://api.openlayer.com/v1/versions/3fa85f64-5717-4562-b3fc-2c963f66afa6/rows?label=validation",
      "rowsBody": {
        "columnFilters": [
          {
            "measurement": "openlayer_token_set",
            "operator": "contains_none",
            "value": [
              "cat"
            ]
          }
        ],
        "searchQueryOr": [
          "<string>"
        ],
        "searchQueryAnd": [
          "<string>"
        ],
        "notSearchQueryOr": [
          "<string>"
        ],
        "notSearchQueryAnd": [
          "<string>"
        ],
        "rowIdList": [
          123
        ],
        "excludeRowIdList": [
          123
        ]
      }
    }
  ]
}

{
  "code": 123,
  "error": "<string>"
}