संपादित करें

इसके माध्यम से साझा किया गया


Get status for a specific document

Reference
Feature: Azure AI Translator → Document Translation
API Version: 2024-05-01
HTTP method: GET

This method returns the status for a specific document in a job as indicated in the request by the id and documentId query parameters.

Request URL

Important

All API requests to the Document Translation feature require a custom domain endpoint that is located on your resource overview page in the Azure portal.

  curl -i -X GET "{document-translation-endpoint}/translator/document/batches/{id}/documents/{documentId}?api-version={date}"

Request parameters

Request parameters passed on the query string are:

Query parameter Required Description
documentId True The document ID.
id True The batch ID.

Locating the id and documentId values

  • You can find the job id in the POST start-batch-translation method response Header Operation-Location URL value. The last parameter of the URL is the operation's job id:
Response header Result URL
Operation-Location {document-translation-endpoint}/translator/document/batches/{id}?api-version={date}/ 9dce0aa9-78dc-41ba-8cae-2e2f3c2ff8ec/

Request headers

Request headers are:

Headers Description
Ocp-Apim-Subscription-Key Required request header

Response status codes

The following are the possible HTTP status codes that a request returns.

Status Code Description
200 OK. Successful request accepted by the service. The operation details are returned.HeadersRetry-After: integerETag: string
401 Unauthorized. Check your credentials.
404 Not Found. Resource isn't found.
500 Internal Server Error.
Other Status Codes • Too many requests
• Server temporary unavailable

Get document status response

Successful get document status response

Name Type Description
path string Location of the document or folder.
sourcePath string Location of the source document.
createdDateTimeUtc string Operation created date time.
lastActionDateTimeUtc string Date time in which the operation's status was updated.
status String List of possible statuses for job or document:
• Canceled
• Cancelling
• Failed
• NotStarted
• Running
• Succeeded
• ValidationFailed
to string Two letter language code of To Language. See the list of languages.
progress number Progress of the translation if available
id string Document ID.
characterCharged integer Characters charged by the API.

Error response

Name Type Description
code string Enums containing high-level error codes. Possible values:
• InternalServerError
• InvalidArgument
• InvalidRequest
• RequestRateTooHigh
• ResourceNotFound
• ServiceUnavailable
• Unauthorized
message string Gets high-level error message.
innerError InnerTranslationError New Inner Error format that conforms to Azure AI services API Guidelines. This error message contains required properties ErrorCode, message, and optional properties target, details(key value pair), inner error(it can be nested).
innerError.code string Gets code error string.
innerError.message string Gets high-level error message.
innerError.target string Gets the source of the error. For example, it would be documents or document id for an invalid document.

Examples

Example successful response

The following JSON object is an example of a successful response.

{
  "path": "https://myblob.blob.core.windows.net/destinationContainer/fr/mydoc.txt",
  "sourcePath": "https://myblob.blob.core.windows.net/sourceContainer/fr/mydoc.txt",
  "createdDateTimeUtc": "2020-03-26T00:00:00Z",
  "lastActionDateTimeUtc": "2020-03-26T01:00:00Z",
  "status": "Running",
  "to": "fr",
  "progress": 0.1,
  "id": "273622bd-835c-4946-9798-fd8f19f6bbf2",
  "characterCharged": 0
}

Example error response

The following JSON object is an example of an error response. The schema for other error codes is the same.

Status code: 401

{
  "error": {
    "code": "Unauthorized",
    "message": "User is not authorized",
    "target": "Document",
    "innerError": {
      "code": "Unauthorized",
      "message": "Operation is not authorized"
    }
  }
}

Next steps

Follow our quickstart to learn more about using Document Translation and the client library.