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GoogleCloudAiplatformV1NearestNeighborSearchOperationMetadataRecordError

import type { GoogleCloudAiplatformV1NearestNeighborSearchOperationMetadataRecordError } from "https://googleapis.deno.dev/v1/aiplatform:v1.ts";
interface GoogleCloudAiplatformV1NearestNeighborSearchOperationMetadataRecordError {
embeddingId?: string;
errorMessage?: string;
errorType?:
| "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";
rawRecord?: string;
sourceGcsUri?: string;
}

§Properties

§
embeddingId?: string
[src]

Empty if the embedding id is failed to parse.

§
errorMessage?: string
[src]

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.

§
errorType?: "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"
[src]

The error type of this record.

§
rawRecord?: string
[src]

The original content of this record.

§
sourceGcsUri?: string
[src]

Cloud Storage URI pointing to the original file in user's bucket.