List quality findings for a dataset version composition profile
GET
/v1/dataset-version-composition-profiles/{profileId}/quality-findingscurl -X GET 'https://api.embodiflow.io/v1/dataset-version-composition-profiles/{profileId}/quality-findings' \
-H 'Authorization: Bearer $EMBODIFLOW_PAT'认证
每个请求都需要携带个人访问令牌（PAT）。
- Authorization: Bearer PAT
路径参数
- profileIdstring必填
查询参数
- pageSizenumber
Page size (default 25, maximum 100). Over-maximum is refused.
- pageTokenstring
Opaque page token from the previous response.
- statusstring
- blockingboolean
响应
Success
- dataarray<QualityFindingDto>必填
- idstring必填
- checkIdstring必填
- bindingIdentitystring必填
- ruleVersionnumber必填
- familystring必填
- stagestring必填
- costTierstring必填
- originstring必填
- scopeTypestring必填
- scopeRefstring必填
- datasetVersionFileIdstring | null必填
- datasetVersionItemIdstring | null必填
- statusstring必填
- severitystring必填
- blockingone of必填
- observedValueone of | null必填
- thresholdobject | null必填
- elementCountnumber | null必填
- violatingCountnumber | null必填
- violatingFractionnumber | null必填
- messageKeystring必填
- messagestring | null必填
- messageParamsobject | null必填
- reasonCodestring | null必填
- workflowRunIdstring必填
- policySnapshotHashstring必填
- createdAtstring必填
- nextPageTokenstring
Opaque AIP-158 page token. Omitted when the collection is exhausted.
- metaobject必填
- pageSizenumber必填
- requestIdstring
响应示例
{
"data": [
{
"id": "string",
"checkId": "string",
"bindingIdentity": "string",
"ruleVersion": 0,
"family": "string",
"stage": "string",
"costTier": "string",
"origin": "string",
"scopeType": "string",
"scopeRef": "string",
"datasetVersionFileId": "string",
"datasetVersionItemId": "string",
"status": "string",
"severity": "string",
"blocking": false,
"observedValue": "string",
"threshold": {},
"elementCount": 0,
"violatingCount": 0,
"violatingFraction": 0,
"messageKey": "string",
"message": "string",
"messageParams": {},
"reasonCode": "string",
"workflowRunId": "string",
"policySnapshotHash": "string",
"createdAt": "string"
}
],
"nextPageToken": "string",
"meta": {
"pageSize": 0,
"requestId": "string"
}
}服务器https://api.embodiflow.io/v1https://api.embodiflow.dev/v1