📄 Source: GoogleCloudAiplatformV1NearestNeighborSearchOperationMetadataRecordError.php
<?php
/*
* Copyright 2014 Google Inc.
*
* Licensed under the Apache License, Version 2.0 (the "License"); you may not
* use this file except in compliance with the License. You may obtain a copy of
* the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
* License for the specific language governing permissions and limitations under
* the License.
*/
namespace Google\Service\Aiplatform;
class GoogleCloudAiplatformV1NearestNeighborSearchOperationMetadataRecordError extends \Google\Model
{
/**
* Default, shall not be used.
*/
public const ERROR_TYPE_ERROR_TYPE_UNSPECIFIED = 'ERROR_TYPE_UNSPECIFIED';
/**
* The record is empty.
*/
public const ERROR_TYPE_EMPTY_LINE = 'EMPTY_LINE';
/**
* Invalid json format.
*/
public const ERROR_TYPE_INVALID_JSON_SYNTAX = 'INVALID_JSON_SYNTAX';
/**
* Invalid csv format.
*/
public const ERROR_TYPE_INVALID_CSV_SYNTAX = 'INVALID_CSV_SYNTAX';
/**
* Invalid avro format.
*/
public const ERROR_TYPE_INVALID_AVRO_SYNTAX = 'INVALID_AVRO_SYNTAX';
/**
* The embedding id is not valid.
*/
public const ERROR_TYPE_INVALID_EMBEDDING_ID = 'INVALID_EMBEDDING_ID';
/**
* The size of the dense embedding vectors does not match with the specified
* dimension.
*/
public const ERROR_TYPE_EMBEDDING_SIZE_MISMATCH = 'EMBEDDING_SIZE_MISMATCH';
/**
* The `namespace` field is missing.
*/
public const ERROR_TYPE_NAMESPACE_MISSING = 'NAMESPACE_MISSING';
/**
* Generic catch-all error. Only used for validation failure where the root
* cause cannot be easily retrieved programmatically.
*/
public const ERROR_TYPE_PARSING_ERROR = 'PARSING_ERROR';
/**
* There are multiple restricts with the same `namespace` value.
*/
public const ERROR_TYPE_DUPLICATE_NAMESPACE = 'DUPLICATE_NAMESPACE';
/**
* Numeric restrict has operator specified in datapoint.
*/
public const ERROR_TYPE_OP_IN_DATAPOINT = 'OP_IN_DATAPOINT';
/**
* Numeric restrict has multiple values specified.
*/
public const ERROR_TYPE_MULTIPLE_VALUES = 'MULTIPLE_VALUES';
/**
* Numeric restrict has invalid numeric value specified.
*/
public const ERROR_TYPE_INVALID_NUMERIC_VALUE = 'INVALID_NUMERIC_VALUE';
/**
* File is not in UTF_8 format.
*/
public const ERROR_TYPE_INVALID_ENCODING = 'INVALID_ENCODING';
/**
* Error parsing sparse dimensions field.
*/
public const ERROR_TYPE_INVALID_SPARSE_DIMENSIONS = 'INVALID_SPARSE_DIMENSIONS';
/**
* Token restrict value is invalid.
*/
public const ERROR_TYPE_INVALID_TOKEN_VALUE = 'INVALID_TOKEN_VALUE';
/**
* Invalid sparse embedding.
*/
public const ERROR_TYPE_INVALID_SPARSE_EMBEDDING = 'INVALID_SPARSE_EMBEDDING';
/**
* Invalid dense embedding.
*/
public const ERROR_TYPE_INVALID_EMBEDDING = 'INVALID_EMBEDDING';
/**
* Invalid embedding metadata.
*/
public const ERROR_TYPE_INVALID_EMBEDDING_METADATA = 'INVALID_EMBEDDING_METADATA';
/**
* Embedding metadata exceeds size limit.
*/
public const ERROR_TYPE_EMBEDDING_METADATA_EXCEEDS_SIZE_LIMIT = 'EMBEDDING_METADATA_EXCEEDS_SIZE_LIMIT';
/**
* Empty if the embedding id is failed to parse.
*
* @var string
*/
public $embeddingId;
/**
* A human-readable message that is shown to the user to help them fix the
* error. Note that this message may change from time to time, your code
* should check against error_type as the source of truth.
*
* @var string
*/
public $errorMessage;
/**
* The error type of this record.
*
* @var string
*/
public $errorType;
/**
* The original content of this record.
*
* @var string
*/
public $rawRecord;
/**
* Cloud Storage URI pointing to the original file in user's bucket.
*
* @var string
*/
public $sourceGcsUri;
/**
* Empty if the embedding id is failed to parse.
*
* @param string $embeddingId
*/
public function setEmbeddingId($embeddingId)
{
$this->embeddingId = $embeddingId;
}
/**
* @return string
*/
public function getEmbeddingId()
{
return $this->embeddingId;
}
/**
* A human-readable message that is shown to the user to help them fix the
* error. Note that this message may change from time to time, your code
* should check against error_type as the source of truth.
*
* @param string $errorMessage
*/
public function setErrorMessage($errorMessage)
{
$this->errorMessage = $errorMessage;
}
/**
* @return string
*/
public function getErrorMessage()
{
return $this->errorMessage;
}
/**
* The error type of this record.
*
* Accepted values: ERROR_TYPE_UNSPECIFIED, EMPTY_LINE, INVALID_JSON_SYNTAX,
* INVALID_CSV_SYNTAX, INVALID_AVRO_SYNTAX, INVALID_EMBEDDING_ID,
* EMBEDDING_SIZE_MISMATCH, NAMESPACE_MISSING, PARSING_ERROR,
* DUPLICATE_NAMESPACE, OP_IN_DATAPOINT, MULTIPLE_VALUES,
* INVALID_NUMERIC_VALUE, INVALID_ENCODING, INVALID_SPARSE_DIMENSIONS,
* INVALID_TOKEN_VALUE, INVALID_SPARSE_EMBEDDING, INVALID_EMBEDDING,
* INVALID_EMBEDDING_METADATA, EMBEDDING_METADATA_EXCEEDS_SIZE_LIMIT
*
* @param self::ERROR_TYPE_* $errorType
*/
public function setErrorType($errorType)
{
$this->errorType = $errorType;
}
/**
* @return self::ERROR_TYPE_*
*/
public function getErrorType()
{
return $this->errorType;
}
/**
* The original content of this record.
*
* @param string $rawRecord
*/
public function setRawRecord($rawRecord)
{
$this->rawRecord = $rawRecord;
}
/**
* @return string
*/
public function getRawRecord()
{
return $this->rawRecord;
}
/**
* Cloud Storage URI pointing to the original file in user's bucket.
*
* @param string $sourceGcsUri
*/
public function setSourceGcsUri($sourceGcsUri)
{
$this->sourceGcsUri = $sourceGcsUri;
}
/**
* @return string
*/
public function getSourceGcsUri()
{
return $this->sourceGcsUri;
}
}
// Adding a class alias for backwards compatibility with the previous class name.
class_alias(GoogleCloudAiplatformV1NearestNeighborSearchOperationMetadataRecordError::class, 'Google_Service_Aiplatform_GoogleCloudAiplatformV1NearestNeighborSearchOperationMetadataRecordError');
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