使用 Transcoder API 对视频进行转码

使用 Transcoder API 对视频进行转码

本页面介绍如何使用 Transcoder API 和 curl、Windows PowerShell 或客户端库的默认设置创建基本视频转码作业。

您还可以使用以下任一编程语言直接在 Google Cloud 控制台中执行本快速入门：

• Node.js
• Python

准备工作

1. Sign in to your Google Cloud account. If you're new to Google Cloud, create an account to evaluate how our products perform in real-world scenarios. New customers also get $300 in free credits to run, test, and deploy workloads.
2. Install the Google Cloud CLI.

3. To initialize the gcloud CLI, run the following command:

   gcloud init

4. Create or select a Google Cloud project.

   Note: If you don't plan to keep the resources that you create in this procedure, create a project instead of selecting an existing project. After you finish these steps, you can delete the project, removing all resources associated with the project.

   • Create a Google Cloud project:

     gcloud projects create PROJECT_ID

     Replace PROJECT_ID with a name for the Google Cloud project you are creating.

   • Select the Google Cloud project that you created:

     gcloud config set project PROJECT_ID

     Replace PROJECT_ID with your Google Cloud project name.

5. Make sure that billing is enabled for your Google Cloud project.

6. Enable the Transcoder API:

   gcloud services enable transcoder.googleapis.com

7. Create local authentication credentials for your user account:

   gcloud auth application-default login

8. Grant roles to your user account. Run the following command once for each of the following IAM roles: roles/transcoder.admin, roles/storage.admin

   gcloud projects add-iam-policy-binding PROJECT_ID --member="user:USER_IDENTIFIER" --role=ROLE

   • Replace PROJECT_ID with your project ID.

   • Replace USER_IDENTIFIER with the identifier for your user account. For example, user:[e-mail].

   • Replace ROLE with each individual role.
9. Install the Google Cloud CLI.

10. To initialize the gcloud CLI, run the following command:

    gcloud init

11. Create or select a Google Cloud project.

    Note: If you don't plan to keep the resources that you create in this procedure, create a project instead of selecting an existing project. After you finish these steps, you can delete the project, removing all resources associated with the project.

    • Create a Google Cloud project:

      gcloud projects create PROJECT_ID

      Replace PROJECT_ID with a name for the Google Cloud project you are creating.

    • Select the Google Cloud project that you created:

      gcloud config set project PROJECT_ID

      Replace PROJECT_ID with your Google Cloud project name.

12. Make sure that billing is enabled for your Google Cloud project.

13. Enable the Transcoder API:

    gcloud services enable transcoder.googleapis.com

14. Create local authentication credentials for your user account:

    gcloud auth application-default login

15. Grant roles to your user account. Run the following command once for each of the following IAM roles: roles/transcoder.admin, roles/storage.admin

    gcloud projects add-iam-policy-binding PROJECT_ID --member="user:USER_IDENTIFIER" --role=ROLE

    • Replace PROJECT_ID with your project ID.

    • Replace USER_IDENTIFIER with the identifier for your user account. For example, user:[e-mail].

    • Replace ROLE with each individual role.

创建 Cloud Storage 存储桶

1. In the Google Cloud console, go to the Cloud Storage Buckets page.

   Go to Buckets page

2. Click Create bucket.
3. On the Create a bucket page, enter your bucket information. To go to the next step, click Continue.
   • For Name your bucket, enter a unique bucket name. Don't include sensitive information in the bucket name, because the bucket namespace is global and publicly visible.
   • For Choose where to store your data, do the following:
     • Select a Location type option.
     • Select a Location option.
   • For Choose a default storage class for your data, select the following: Standard.
   • For Choose how to control access to objects, select an Access control option.
   • For Advanced settings (optional), specify an encryption method, a retention policy, or bucket labels.
4. Click Create.
5. 点击创建文件夹并输入名称，以创建一个用于保存已编码的视频输出的文件夹。

使用 Transcoder API 对视频进行转码

执行以下步骤时，本地机器上必须至少有时长为 5 秒的视频（示例视频）。请参阅支持的输入和输出格式列表。

注意：输入视频必须至少有一个视频轨道和一个视音轨，才能使用 preset/web-hd 预设。

将视频上传到 Cloud Storage 存储分区

1. 在 Google Cloud 控制台中，前往 Cloud Storage 浏览器页面。
   转到“Cloud Storage 浏览器”页面
   
2. 点击存储分区的名称将其打开。
3. 点击上传文件。
4. 选择要从本地机器上传的视频文件。

您的视频现已保存到 Cloud Storage 存储分区。

创建转码作业

默认情况下，Transcoder API 使用 H.264 编码以及 MP4、HLS 和 MPEG-DASH 包装对视频进行转码。对于每个输入视频，它以高清（1280x720 像素）和标清（640x360 像素）提供输出呈现方式。

要创建作业，请使用 projects.locations.jobs.create 方法。 以下代码示例使用预设创建基本转码作业。

REST

在使用任何请求数据之前，请先进行以下替换：

• PROJECT_ID：IAM 设置中列出的 Google Cloud 项目 ID。
• LOCATION：运行作业的位置。请使用其中一个受支持的区域。
  显示位置
  • us-central1
  • us-west1
  • us-west2
  • us-east1
  • us-east4
  • southamerica-east1
  • northamerica-northeast1
  • asia-east1
  • asia-northeast1
  • asia-northeast3
  • asia-south1
  • asia-southeast1
  • australia-southeast1
  • europe-west1
  • europe-west2
  • europe-west4
  • me-west1
  • me-central1
  • me-central2
• STORAGE_BUCKET_NAME：您创建的 Cloud Storage 存储分区的名称。
• STORAGE_INPUT_VIDEO：您要对其进行转码的 Cloud Storage 存储分区中的视频的名称，例如 my-vid.mp4。此字段应考虑您在存储分区中创建的任何文件夹（例如 input/my-vid.mp4）。
  注意：输入视频必须至少包含一个视频轨道和一首音轨，才可使用 preset/web-hd 预设。
• STORAGE_OUTPUT_FOLDER：您要在其中保存已编码视频输出的 Cloud Storage 文件夹名称。

如需发送您的请求，请展开以下选项之一：

curl（Linux、macOS 或 Cloud Shell）

注意：以下命令假定您已使用您的用户账号通过运行 gcloud init 或 gcloud auth login 登录 gcloud CLI，或者使用了 Cloud Shell，这会使您自动登录 gcloud CLI。您可以运行 gcloud auth list 来检查当前活跃的账号。

将请求正文保存在名为 request.json 的文件中。在终端中运行以下命令，在当前目录中创建或覆盖此文件：

cat > request.json << 'EOF'
{
  "inputUri": "gs://STORAGE_BUCKET_NAME/STORAGE_INPUT_VIDEO",
  "outputUri": "gs://STORAGE_BUCKET_NAME/STORAGE_OUTPUT_FOLDER/",
  "templateId": "preset/web-hd"
}
EOF

然后，执行以下命令以发送 REST 请求：

curl -X POST \
     -H "Authorization: Bearer $(gcloud auth print-access-token)" \
     -H "Content-Type: application/json; charset=utf-8" \
     -d @request.json \
     "https://transcoder.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/jobs?fields=name"

PowerShell (Windows)

注意：以下命令假定您已使用您的用户账号通过运行 gcloud init 或 gcloud auth login 登录 gcloud CLI。您可以运行 gcloud auth list 来检查当前活跃的账号。

将请求正文保存在名为 request.json 的文件中。在终端中运行以下命令，在当前目录中创建或覆盖此文件：

@'
{
  "inputUri": "gs://STORAGE_BUCKET_NAME/STORAGE_INPUT_VIDEO",
  "outputUri": "gs://STORAGE_BUCKET_NAME/STORAGE_OUTPUT_FOLDER/",
  "templateId": "preset/web-hd"
}
'@  | Out-File -FilePath request.json -Encoding utf8

然后，执行以下命令以发送 REST 请求：

$cred = gcloud auth print-access-token
$headers = @{ "Authorization" = "Bearer $cred" }

Invoke-WebRequest `
    -Method POST `
    -Headers $headers `
    -ContentType: "application/json; charset=utf-8" `
    -InFile request.json `
    -Uri "https://transcoder.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/jobs?fields=name" | Select-Object -Expand Content

此特定 REST 示例使用可选的 fields 查询参数来仅在显示响应中的已创建的资源名称。

{
  "name": "projects/PROJECT_NUMBER/locations/LOCATION/jobs/JOB_ID"
}

gcloud

1. 对 gcloud 命令进行以下替换：
• STORAGE_BUCKET_NAME：您创建的 Cloud Storage 存储分区的名称。
• STORAGE_INPUT_VIDEO：您要对其进行转码的 Cloud Storage 存储分区中的视频的名称，例如 my-vid.mp4。此字段应考虑您在存储分区中创建的任何文件夹（例如 input/my-vid.mp4）。
  注意：输入视频必须至少包含一个视频轨道和一首音轨，才可使用 preset/web-hd 预设。
• LOCATION：运行作业的位置。请使用其中一个受支持的区域。
  显示位置
  • us-central1
  • us-west1
  • us-west2
  • us-east1
  • us-east4
  • southamerica-east1
  • northamerica-northeast1
  • asia-east1
  • asia-northeast1
  • asia-northeast3
  • asia-south1
  • asia-southeast1
  • australia-southeast1
  • europe-west1
  • europe-west2
  • europe-west4
  • me-west1
  • me-central1
  • me-central2
• STORAGE_OUTPUT_FOLDER：您要在其中保存已编码视频输出的 Cloud Storage 文件夹名称。
  注意：您无需在创建作业之前创建输出文件夹对象。处理作业时，Transcoder API 会自动前置您指定的文件夹名称，作为保存到 Cloud Storage 的对象名称的一部分。
2. 运行以下命令：

   gcloud transcoder jobs create \
     --input-uri="gs://STORAGE_BUCKET_NAME/STORAGE_INPUT_VIDEO" \
     --location=LOCATION \
     --output-uri="gs://STORAGE_BUCKET_NAME/STORAGE_OUTPUT_FOLDER/"

   您应该会看到如下所示的响应：

   {
     "config": {
      ...
     },
     "createTime": CREATE_TIME,
     "name": "projects/PROJECT_NUMBER/locations/LOCATION/jobs/JOB_ID",
     "state": "PENDING",
     "ttlAfterCompletionDays": 30
   }
   

C#

在试用此示例之前，请按照 Transcoder API 快速入门：使用客户端库中的 C# 设置说明进行操作。 如需了解详情，请参阅 Transcoder API C# API 参考文档。

如需向 Transcoder API 进行身份验证，请设置应用默认凭据。 如需了解详情，请参阅为本地开发环境设置身份验证。

using Google.Api.Gax.ResourceNames;
using Google.Cloud.Video.Transcoder.V1;

public class CreateJobFromPresetSample
{
    public Job CreateJobFromPreset(
        string projectId, string location, string inputUri, string outputUri, string preset)
    {
        // Create the client.
        TranscoderServiceClient client = TranscoderServiceClient.Create();

        // Build the parent location name.
        LocationName parent = new LocationName(projectId, location);

        // Build the job.
        Job newJob = new Job
        {
            InputUri = inputUri,
            OutputUri = outputUri,
            TemplateId = preset
        };

        // Call the API.
        Job job = client.CreateJob(parent, newJob);

        // Return the result.
        return job;
    }
}

Go

在试用此示例之前，请按照 Transcoder API 快速入门：使用客户端库中的 Go 设置说明进行操作。 如需了解详情，请参阅 Transcoder API Go API 参考文档。

如需向 Transcoder API 进行身份验证，请设置应用默认凭据。 如需了解详情，请参阅为本地开发环境设置身份验证。

import (
	"context"
	"fmt"
	"io"

	transcoder "cloud.google.com/go/video/transcoder/apiv1"
	"cloud.google.com/go/video/transcoder/apiv1/transcoderpb"
)

// createJobFromPreset creates a job based on a given preset template. See
// https://cloud.google.com/transcoder/docs/how-to/jobs#create_jobs_presets
// for more information.
func createJobFromPreset(w io.Writer, projectID string, location string, inputURI string, outputURI string) error {
	// projectID := "my-project-id"
	// location := "us-central1"
	// inputURI := "gs://my-bucket/my-video-file"
	// outputURI := "gs://my-bucket/my-output-folder/"
	preset := "preset/web-hd"
	ctx := context.Background()
	client, err := transcoder.NewClient(ctx)
	if err != nil {
		return fmt.Errorf("NewClient: %w", err)
	}
	defer client.Close()

	req := &transcoderpb.CreateJobRequest{
		Parent: fmt.Sprintf("projects/%s/locations/%s", projectID, location),
		Job: &transcoderpb.Job{
			InputUri:  inputURI,
			OutputUri: outputURI,
			JobConfig: &transcoderpb.Job_TemplateId{
				TemplateId: preset,
			},
		},
	}
	// Creates the job, Jobs take a variable amount of time to run.
	// You can query for the job state.
	response, err := client.CreateJob(ctx, req)
	if err != nil {
		return fmt.Errorf("createJobFromPreset: %w", err)
	}

	fmt.Fprintf(w, "Job: %v", response.GetName())
	return nil
}

Java

在试用此示例之前，请按照 Transcoder API 快速入门：使用客户端库中的 Java 设置说明进行操作。 如需了解详情，请参阅 Transcoder API Java API 参考文档。

如需向 Transcoder API 进行身份验证，请设置应用默认凭据。 如需了解详情，请参阅为本地开发环境设置身份验证。

import com.google.cloud.video.transcoder.v1.CreateJobRequest;
import com.google.cloud.video.transcoder.v1.Job;
import com.google.cloud.video.transcoder.v1.LocationName;
import com.google.cloud.video.transcoder.v1.TranscoderServiceClient;
import java.io.IOException;

public class CreateJobFromPreset {

  public static void main(String[] args) throws Exception {
    // TODO(developer): Replace these variables before running the sample.
    String projectId = "my-project-id";
    String location = "us-central1";
    String inputUri = "gs://my-bucket/my-video-file";
    String outputUri = "gs://my-bucket/my-output-folder/";
    // See https://cloud.google.com/transcoder/docs/concepts/overview#job_template
    // for information on this preset.
    String preset = "preset/web-hd";

    createJobFromPreset(projectId, location, inputUri, outputUri, preset);
  }

  // Creates a job from a preset.
  public static void createJobFromPreset(
      String projectId, String location, String inputUri, String outputUri, String preset)
      throws IOException {
    // Initialize client that will be used to send requests. This client only needs to be created
    // once, and can be reused for multiple requests.
    try (TranscoderServiceClient transcoderServiceClient = TranscoderServiceClient.create()) {

      CreateJobRequest createJobRequest =
          CreateJobRequest.newBuilder()
              .setJob(
                  Job.newBuilder()
                      .setInputUri(inputUri)
                      .setOutputUri(outputUri)
                      .setTemplateId(preset)
                      .build())
              .setParent(LocationName.of(projectId, location).toString())
              .build();

      // Send the job creation request and process the response.
      Job job = transcoderServiceClient.createJob(createJobRequest);
      System.out.println("Job: " + job.getName());
    }
  }
}

Node.js

在试用此示例之前，请按照 Transcoder API 快速入门：使用客户端库中的 Node.js 设置说明进行操作。 如需了解详情，请参阅 Transcoder API Node.js API 参考文档。

如需向 Transcoder API 进行身份验证，请设置应用默认凭据。 如需了解详情，请参阅为本地开发环境设置身份验证。

/**
 * TODO(developer): Uncomment these variables before running the sample.
 */
// projectId = 'my-project-id';
// location = 'us-central1';
// inputUri = 'gs://my-bucket/my-video-file';
// outputUri = 'gs://my-bucket/my-output-folder/';
// preset = 'preset/web-hd';

// Imports the Transcoder library
const {TranscoderServiceClient} =
  require('@google-cloud/video-transcoder').v1;

// Instantiates a client
const transcoderServiceClient = new TranscoderServiceClient();

async function createJobFromPreset() {
  // Construct request
  const request = {
    parent: transcoderServiceClient.locationPath(projectId, location),
    job: {
      inputUri: inputUri,
      outputUri: outputUri,
      templateId: preset,
    },
  };

  // Run request
  const [response] = await transcoderServiceClient.createJob(request);
  console.log(`Job: ${response.name}`);
}

createJobFromPreset();

PHP

在试用此示例之前，请按照 Transcoder API 快速入门：使用客户端库中的 PHP 设置说明进行操作。 如需了解详情，请参阅 Transcoder API PHP API 参考文档。

如需向 Transcoder API 进行身份验证，请设置应用默认凭据。 如需了解详情，请参阅为本地开发环境设置身份验证。

use Google\Cloud\Video\Transcoder\V1\Client\TranscoderServiceClient;
use Google\Cloud\Video\Transcoder\V1\CreateJobRequest;
use Google\Cloud\Video\Transcoder\V1\Job;

/**
 * Creates a job based on a job preset.
 *
 * @param string $projectId The ID of your Google Cloud Platform project.
 * @param string $location The location of the job.
 * @param string $inputUri Uri of the video in the Cloud Storage bucket.
 * @param string $outputUri Uri of the video output folder in the Cloud Storage bucket.
 * @param string $preset The preset template (for example, "preset/web-hd").
 */
function create_job_from_preset($projectId, $location, $inputUri, $outputUri, $preset)
{
    // Instantiate a client.
    $transcoderServiceClient = new TranscoderServiceClient();

    $formattedParent = $transcoderServiceClient->locationName($projectId, $location);
    $job = new Job();
    $job->setInputUri($inputUri);
    $job->setOutputUri($outputUri);
    $job->setTemplateId($preset);
    $request = (new CreateJobRequest())
        ->setParent($formattedParent)
        ->setJob($job);

    $response = $transcoderServiceClient->createJob($request);

    // Print job name.
    printf('Job: %s' . PHP_EOL, $response->getName());
}

Python

在试用此示例之前，请按照 Transcoder API 快速入门：使用客户端库中的 Python 设置说明进行操作。 如需了解详情，请参阅 Transcoder API Python API 参考文档。

如需向 Transcoder API 进行身份验证，请设置应用默认凭据。 如需了解详情，请参阅为本地开发环境设置身份验证。

import argparse

from google.cloud.video import transcoder_v1
from google.cloud.video.transcoder_v1.services.transcoder_service import (
    TranscoderServiceClient,
)


def create_job_from_preset(
    project_id: str,
    location: str,
    input_uri: str,
    output_uri: str,
    preset: str,
) -> transcoder_v1.types.resources.Job:
    """Creates a job based on a job preset.

    Args:
        project_id: The GCP project ID.
        location: The location to start the job in.
        input_uri: Uri of the video in the Cloud Storage bucket.
        output_uri: Uri of the video output folder in the Cloud Storage bucket.
        preset: The preset template (for example, 'preset/web-hd').

    Returns:
        The job resource.
    """

    client = TranscoderServiceClient()

    parent = f"projects/{project_id}/locations/{location}"
    job = transcoder_v1.types.Job()
    job.input_uri = input_uri
    job.output_uri = output_uri
    job.template_id = preset

    response = client.create_job(parent=parent, job=job)
    print(f"Job: {response.name}")
    return response

Ruby

在试用此示例之前，请按照 Transcoder API 快速入门：使用客户端库中的 Ruby 设置说明进行操作。 如需了解详情，请参阅 Transcoder API Ruby API 参考文档。

如需向 Transcoder API 进行身份验证，请设置应用默认凭据。 如需了解详情，请参阅为本地开发环境设置身份验证。

# project_id  = "YOUR-GOOGLE-CLOUD-PROJECT"  # (e.g. "my-project")
# location    = "YOUR-JOB-LOCATION"  # (e.g. "us-central1")
# input_uri   = "YOUR-GCS-INPUT-VIDEO"  # (e.g. "gs://my-bucket/my-video-file")
# output_uri  = "YOUR-GCS-OUTPUT-FOLDER/"  # (e.g. "gs://my-bucket/my-output-folder/")
# preset      = "YOUR-JOB-PRESET"  # (e.g. "preset/web-hd")

# Require the Transcoder client library.
require "google/cloud/video/transcoder"

# Create a Transcoder client.
client = Google::Cloud::Video::Transcoder.transcoder_service

# Build the resource name of the parent.
parent = client.location_path project: project_id, location: location

# Set the job fields.
new_job = {
  input_uri: input_uri,
  output_uri: output_uri,
  template_id: preset
}

job = client.create_job parent: parent, job: new_job

# Print the job name.
puts "Job: #{job.name}"

复制返回的 JOB_ID。您需要该 ID 才能获得作业的状态。

检查转码作业的状态

如需检查作业的状态，请使用 projects.locations.jobs.get 方法。 以下代码显示获取作业详细信息的示例并显示作业状态。

REST

在使用任何请求数据之前，请先进行以下替换：

JOB_ID：您创建的作业的 ID。

PROJECT_ID：您的 Google Cloud 项目 ID。

LOCATION：您的作业的位置。请使用其中一个受支持的区域。

显示位置

• us-central1
• us-west1
• us-west2
• us-east1
• us-east4
• southamerica-east1
• northamerica-northeast1
• asia-east1
• asia-northeast1
• asia-northeast3
• asia-south1
• asia-southeast1
• australia-southeast1
• europe-west1
• europe-west2
• europe-west4
• me-west1
• me-central1
• me-central2

如需发送您的请求，请展开以下选项之一：

curl（Linux、macOS 或 Cloud Shell）

注意：以下命令假定您已使用您的用户账号通过运行 gcloud init 或 gcloud auth login 登录 gcloud CLI，或者使用了 Cloud Shell，这会使您自动登录 gcloud CLI。您可以运行 gcloud auth list 来检查当前活跃的账号。

执行以下命令：

curl -X GET \
     -H "Authorization: Bearer $(gcloud auth print-access-token)" \
     "https://transcoder.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/jobs/JOB_ID"

PowerShell (Windows)

注意：以下命令假定您已使用您的用户账号通过运行 gcloud init 或 gcloud auth login 登录 gcloud CLI。您可以运行 gcloud auth list 来检查当前活跃的账号。

执行以下命令：

$cred = gcloud auth print-access-token
$headers = @{ "Authorization" = "Bearer $cred" }

Invoke-WebRequest `
    -Method GET `
    -Headers $headers `
    -Uri "https://transcoder.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/jobs/JOB_ID" | Select-Object -Expand Content

您应该收到类似以下内容的 JSON 响应：

{
  "name": "projects/PROJECT_NUMBER/locations/LOCATION/jobs/JOB_ID",
  "config": {
    "inputs": [
      {
        "key": "input0",
        "uri": "gs://STORAGE_BUCKET_NAME/STORAGE_INPUT_VIDEO"
      }
    ],
    "editList": [
      {
        "key": "atom0",
        "inputs": [
          "input0"
        ],
        "startTimeOffset": "0s"
      }
    ],
    "elementaryStreams": [
      {
        "videoStream": {
          "h264": {
            "widthPixels": 640,
            "heightPixels": 360,
            "frameRate": 30,
            "bitrateBps": 550000,
            "pixelFormat": "yuv420p",
            "rateControlMode": "vbr",
            "crfLevel": 21,
            "gopDuration": "3s",
            "vbvSizeBits": 550000,
            "vbvFullnessBits": 495000,
            "entropyCoder": "cabac",
            "bFrameCount": 3,
            "aqStrength": 1,
            "profile": "high",
            "preset": "veryfast"
          }
        },
        "key": "video-stream0"
      },
      {
        "videoStream": {
          "h264": {
            "widthPixels": 1280,
            "heightPixels": 720,
            "frameRate": 30,
            "bitrateBps": 2500000,
            "pixelFormat": "yuv420p",
            "rateControlMode": "vbr",
            "crfLevel": 21,
            "gopDuration": "3s",
            "vbvSizeBits": 2500000,
            "vbvFullnessBits": 2250000,
            "entropyCoder": "cabac",
            "bFrameCount": 3,
            "aqStrength": 1,
            "profile": "high",
            "preset": "veryfast"
          }
        },
        "key": "video-stream1"
      },
      {
        "audioStream": {
          "codec": "aac",
          "bitrateBps": 64000,
          "channelCount": 2,
          "channelLayout": [
            "fl",
            "fr"
          ],
          "sampleRateHertz": 48000
        },
        "key": "audio-stream0"
      }
    ],
    "muxStreams": [
      {
        "key": "sd",
        "fileName": "sd.mp4",
        "container": "mp4",
        "elementaryStreams": [
          "video-stream0",
          "audio-stream0"
        ]
      },
      {
        "key": "hd",
        "fileName": "hd.mp4",
        "container": "mp4",
        "elementaryStreams": [
          "video-stream1",
          "audio-stream0"
        ]
      },
      {
        "key": "media-sd",
        "fileName": "media-sd.ts",
        "container": "ts",
        "elementaryStreams": [
          "video-stream0",
          "audio-stream0"
        ]
      },
      {
        "key": "media-hd",
        "fileName": "media-hd.ts",
        "container": "ts",
        "elementaryStreams": [
          "video-stream1",
          "audio-stream0"
        ]
      },
      {
        "key": "video-only-sd",
        "fileName": "video-only-sd.m4s",
        "container": "fmp4",
        "elementaryStreams": [
          "video-stream0"
        ]
      },
      {
        "key": "video-only-hd",
        "fileName": "video-only-hd.m4s",
        "container": "fmp4",
        "elementaryStreams": [
          "video-stream1"
        ]
      },
      {
        "key": "audio-only",
        "fileName": "audio-only.m4s",
        "container": "fmp4",
        "elementaryStreams": [
          "audio-stream0"
        ]
      }
    ],
    "manifests": [
      {
        "fileName": "manifest.m3u8",
        "type": "HLS",
        "muxStreams": [
          "media-sd",
          "media-hd"
        ]
      },
      {
        "fileName": "manifest.mpd",
        "type": "DASH",
        "muxStreams": [
          "video-only-sd",
          "video-only-hd",
          "audio-only"
        ]
      }
    ],
    "output": {
      "uri": "gs://STORAGE_BUCKET_NAME/STORAGE_OUTPUT_FOLDER/"
    }
  },
  "state": "PENDING",
  "createTime": CREATE_TIME,
  "ttlAfterCompletionDays": 30
}

gcloud

1. 对 gcloud 命令进行以下替换：
• JOB_ID：您创建的作业的 ID。
• LOCATION：您的作业的位置。请使用其中一个受支持的区域。
  显示位置
  • us-central1
  • us-west1
  • us-west2
  • us-east1
  • us-east4
  • southamerica-east1
  • northamerica-northeast1
  • asia-east1
  • asia-northeast1
  • asia-northeast3
  • asia-south1
  • asia-southeast1
  • australia-southeast1
  • europe-west1
  • europe-west2
  • europe-west4
  • me-west1
  • me-central1
  • me-central2
2. 运行以下命令：

   gcloud transcoder jobs describe JOB_ID --location=LOCATION

   您应该会看到如下所示的响应：

   {
     "name": "projects/PROJECT_NUMBER/locations/LOCATION/jobs/JOB_ID",
     "config": {
       "inputs": [
         {
           "key": "input0",
           "uri": "gs://STORAGE_BUCKET_NAME/STORAGE_INPUT_VIDEO"
         }
       ],
       "editList": [
         {
           "key": "atom0",
           "inputs": [
             "input0"
           ],
           "startTimeOffset": "0s"
         }
       ],
       "elementaryStreams": [
         {
           "videoStream": {
             "h264": {
               "widthPixels": 640,
               "heightPixels": 360,
               "frameRate": 30,
               "bitrateBps": 550000,
               "pixelFormat": "yuv420p",
               "rateControlMode": "vbr",
               "crfLevel": 21,
               "gopDuration": "3s",
               "vbvSizeBits": 550000,
               "vbvFullnessBits": 495000,
               "entropyCoder": "cabac",
               "bFrameCount": 3,
               "aqStrength": 1,
               "profile": "high",
               "preset": "veryfast"
             }
           },
           "key": "video-stream0"
         },
         {
           "videoStream": {
             "h264": {
               "widthPixels": 1280,
               "heightPixels": 720,
               "frameRate": 30,
               "bitrateBps": 2500000,
               "pixelFormat": "yuv420p",
               "rateControlMode": "vbr",
               "crfLevel": 21,
               "gopDuration": "3s",
               "vbvSizeBits": 2500000,
               "vbvFullnessBits": 2250000,
               "entropyCoder": "cabac",
               "bFrameCount": 3,
               "aqStrength": 1,
               "profile": "high",
               "preset": "veryfast"
             }
           },
           "key": "video-stream1"
         },
         {
           "audioStream": {
             "codec": "aac",
             "bitrateBps": 64000,
             "channelCount": 2,
             "channelLayout": [
               "fl",
               "fr"
             ],
             "sampleRateHertz": 48000
           },
           "key": "audio-stream0"
         }
       ],
       "muxStreams": [
         {
           "key": "sd",
           "fileName": "sd.mp4",
           "container": "mp4",
           "elementaryStreams": [
             "video-stream0",
             "audio-stream0"
           ]
         },
         {
           "key": "hd",
           "fileName": "hd.mp4",
           "container": "mp4",
           "elementaryStreams": [
             "video-stream1",
             "audio-stream0"
           ]
         },
         {
           "key": "media-sd",
           "fileName": "media-sd.ts",
           "container": "ts",
           "elementaryStreams": [
             "video-stream0",
             "audio-stream0"
           ]
         },
         {
           "key": "media-hd",
           "fileName": "media-hd.ts",
           "container": "ts",
           "elementaryStreams": [
             "video-stream1",
             "audio-stream0"
           ]
         },
         {
           "key": "video-only-sd",
           "fileName": "video-only-sd.m4s",
           "container": "fmp4",
           "elementaryStreams": [
             "video-stream0"
           ]
         },
         {
           "key": "video-only-hd",
           "fileName": "video-only-hd.m4s",
           "container": "fmp4",
           "elementaryStreams": [
             "video-stream1"
           ]
         },
         {
           "key": "audio-only",
           "fileName": "audio-only.m4s",
           "container": "fmp4",
           "elementaryStreams": [
             "audio-stream0"
           ]
         }
       ],
       "manifests": [
         {
           "fileName": "manifest.m3u8",
           "type": "HLS",
           "muxStreams": [
             "media-sd",
             "media-hd"
           ]
         },
         {
           "fileName": "manifest.mpd",
           "type": "DASH",
           "muxStreams": [
             "video-only-sd",
             "video-only-hd",
             "audio-only"
           ]
         }
       ],
       "output": {
         "uri": "gs://STORAGE_BUCKET_NAME/STORAGE_OUTPUT_FOLDER/"
       }
     },
     "state": "PENDING",
     "createTime": CREATE_TIME,
     "ttlAfterCompletionDays": 30
   }
   

C#

在试用此示例之前，请按照 Transcoder API 快速入门：使用客户端库中的 C# 设置说明进行操作。 如需了解详情，请参阅 Transcoder API C# API 参考文档。

如需向 Transcoder API 进行身份验证，请设置应用默认凭据。 如需了解详情，请参阅为本地开发环境设置身份验证。

using Google.Cloud.Video.Transcoder.V1;

public class GetJobStateSample
{
    public Job.Types.ProcessingState GetJobState(string projectId, string location, string jobId)
    {
        // Create the client.
        TranscoderServiceClient client = TranscoderServiceClient.Create();

        // Build the job name.
        JobName jobName = JobName.FromProjectLocationJob(projectId, location, jobId);

        // Call the API.
        Job job = client.GetJob(jobName);

        // Return the result.
        return job.State;
    }
}

Go

在试用此示例之前，请按照 Transcoder API 快速入门：使用客户端库中的 Go 设置说明进行操作。 如需了解详情，请参阅 Transcoder API Go API 参考文档。

如需向 Transcoder API 进行身份验证，请设置应用默认凭据。 如需了解详情，请参阅为本地开发环境设置身份验证。

import (
	"context"
	"fmt"
	"io"

	transcoder "cloud.google.com/go/video/transcoder/apiv1"
	"cloud.google.com/go/video/transcoder/apiv1/transcoderpb"
)

// getJobState gets the state for a previously-created job. See
// https://cloud.google.com/transcoder/docs/how-to/jobs#check_job_status for
// more information.
func getJobState(w io.Writer, projectID string, location string, jobID string) error {
	// projectID := "my-project-id"
	// location := "us-central1"
	// jobID := "my-job-id"
	ctx := context.Background()
	client, err := transcoder.NewClient(ctx)
	if err != nil {
		return fmt.Errorf("NewClient: %w", err)
	}
	defer client.Close()

	req := &transcoderpb.GetJobRequest{
		Name: fmt.Sprintf("projects/%s/locations/%s/jobs/%s", projectID, location, jobID),
	}

	response, err := client.GetJob(ctx, req)
	if err != nil {
		return fmt.Errorf("GetJob: %w", err)
	}
	fmt.Fprintf(w, "Job state: %v\n----\nJob failure reason:%v\n", response.State, response.Error)
	return nil
}

Java

在试用此示例之前，请按照 Transcoder API 快速入门：使用客户端库中的 Java 设置说明进行操作。 如需了解详情，请参阅 Transcoder API Java API 参考文档。

如需向 Transcoder API 进行身份验证，请设置应用默认凭据。 如需了解详情，请参阅为本地开发环境设置身份验证。

import com.google.cloud.video.transcoder.v1.GetJobRequest;
import com.google.cloud.video.transcoder.v1.Job;
import com.google.cloud.video.transcoder.v1.JobName;
import com.google.cloud.video.transcoder.v1.TranscoderServiceClient;
import java.io.IOException;

public class GetJobState {

  public static void main(String[] args) throws Exception {
    // TODO(developer): Replace these variables before running the sample.
    String projectId = "my-project-id";
    String location = "us-central1";
    String jobId = "my-job-id";

    getJobState(projectId, location, jobId);
  }

  // Gets the state of a job.
  public static void getJobState(String projectId, String location, String jobId)
      throws IOException {
    // Initialize client that will be used to send requests. This client only needs to be created
    // once, and can be reused for multiple requests.
    try (TranscoderServiceClient transcoderServiceClient = TranscoderServiceClient.create()) {
      JobName jobName =
          JobName.newBuilder().setProject(projectId).setLocation(location).setJob(jobId).build();
      GetJobRequest getJobRequest = GetJobRequest.newBuilder().setName(jobName.toString()).build();

      // Send the get job request and process the response.
      Job job = transcoderServiceClient.getJob(getJobRequest);
      System.out.println("Job state: " + job.getState());
    }
  }
}

Node.js

在试用此示例之前，请按照 Transcoder API 快速入门：使用客户端库中的 Node.js 设置说明进行操作。 如需了解详情，请参阅 Transcoder API Node.js API 参考文档。

如需向 Transcoder API 进行身份验证，请设置应用默认凭据。 如需了解详情，请参阅为本地开发环境设置身份验证。

/**
 * TODO(developer): Uncomment these variables before running the sample.
 */
// projectId = 'my-project-id';
// location = 'us-central1';
// jobId = 'my-job-id';

// Imports the Transcoder library
const {TranscoderServiceClient} =
  require('@google-cloud/video-transcoder').v1;

// Instantiates a client
const transcoderServiceClient = new TranscoderServiceClient();

async function getJob() {
  // Construct request
  const request = {
    name: transcoderServiceClient.jobPath(projectId, location, jobId),
  };
  const [response] = await transcoderServiceClient.getJob(request);
  console.log(`Job state: ${response.state}`);
}

getJob();

PHP

在试用此示例之前，请按照 Transcoder API 快速入门：使用客户端库中的 PHP 设置说明进行操作。 如需了解详情，请参阅 Transcoder API PHP API 参考文档。

如需向 Transcoder API 进行身份验证，请设置应用默认凭据。 如需了解详情，请参阅为本地开发环境设置身份验证。

use Google\Cloud\Video\Transcoder\V1\Client\TranscoderServiceClient;
use Google\Cloud\Video\Transcoder\V1\GetJobRequest;
use Google\Cloud\Video\Transcoder\V1\Job;

/**
 * Gets a Transcoder job's state.
 *
 * @param string $projectId The ID of your Google Cloud Platform project.
 * @param string $location The location of the job.
 * @param string $jobId The job ID.
 */
function get_job_state($projectId, $location, $jobId)
{
    // Instantiate a client.
    $transcoderServiceClient = new TranscoderServiceClient();

    $formattedName = $transcoderServiceClient->jobName($projectId, $location, $jobId);
    $request = (new GetJobRequest())
        ->setName($formattedName);
    $job = $transcoderServiceClient->getJob($request);

    // Print job state.
    printf('Job state: %s' . PHP_EOL, Job\ProcessingState::name($job->getState()));
}

Python

在试用此示例之前，请按照 Transcoder API 快速入门：使用客户端库中的 Python 设置说明进行操作。 如需了解详情，请参阅 Transcoder API Python API 参考文档。

如需向 Transcoder API 进行身份验证，请设置应用默认凭据。 如需了解详情，请参阅为本地开发环境设置身份验证。

import argparse

from google.cloud.video import transcoder_v1
from google.cloud.video.transcoder_v1.services.transcoder_service import (
    TranscoderServiceClient,
)


def get_job_state(
    project_id: str,
    location: str,
    job_id: str,
) -> transcoder_v1.types.resources.Job:
    """Gets a job's state.

    Args:
        project_id: The GCP project ID.
        location: The location this job is in.
        job_id: The job ID.

    Returns:
        The job resource.
    """

    client = TranscoderServiceClient()

    name = f"projects/{project_id}/locations/{location}/jobs/{job_id}"
    response = client.get_job(name=name)

    print(f"Job state: {str(response.state.name)}")
    return response

Ruby

在试用此示例之前，请按照 Transcoder API 快速入门：使用客户端库中的 Ruby 设置说明进行操作。 如需了解详情，请参阅 Transcoder API Ruby API 参考文档。

如需向 Transcoder API 进行身份验证，请设置应用默认凭据。 如需了解详情，请参阅为本地开发环境设置身份验证。

# project_id = "YOUR-GOOGLE-CLOUD-PROJECT"  # (e.g. "my-project")
# location   = "YOUR-JOB-LOCATION"  # (e.g. "us-central1")
# job_id     = "YOUR-JOB-ID"  # (e.g. "c82c295b-3f5a-47df-8562-938a89d40fd0")

# Require the Transcoder client library.
require "google/cloud/video/transcoder"

# Create a Transcoder client.
client = Google::Cloud::Video::Transcoder.transcoder_service

# Build the resource name of the job.
name = client.job_path project: project_id, location: location, job: job_id

# Get the job.
job = client.get_job name: name

# Print the job state.
puts "Job state: #{job.state}"

如果 state 为 SUCCEEDED，则表示作业已完成，并且您的视频输出现在可在 Cloud Storage 存储分区的已编码文件列表中找到。

注意：API 服务账号最多可能需要 7 分钟才能完成部署。如果您在尝试创建作业时收到权限错误，请在 7 分钟后重试。

播放视频

注意 ：如果要为媒体输出创建 CDN，请参阅媒体 CDN 快速入门。

如需在 Shaka Player 中播放生成的媒体文件，请完成以下步骤：

1. 请将 Cloud Storage 存储分区设为可公开读取。
2. 如需在 Cloud Storage 存储分区上启用跨域资源共享 (CORS)，请执行以下操作：
   1. 创建一个包含以下代码的 JSON 文件：

      [
        {
          "origin": ["https://shaka-player-demo.appspot.com/"],
          "responseHeader": ["Content-Type", "Range"],
          "method": ["GET", "HEAD"],
          "maxAgeSeconds": 3600
        }
      ]

   2. 将 JSON_FILE_NAME 替换为您在上一步中创建的 JSON 文件的名称，然后运行以下命令：

      gcloud storage buckets update gs://STORAGE_BUCKET_NAME --cors-file=JSON_FILE_NAME.json

3. 在 Cloud Storage 存储分区中，选择一个由转码作业生成的 MP4 文件或清单文件。在该文件的公开访问权限列中，点击复制网址。
4. 导航到在线直播播放器 Shaka Player。
5. 点击顶部导航栏中的自定义内容。
6. 点击 + 按钮。

7. 将文件的公开网址粘贴到清单网址框中。

   

8. 在名称框中输入一个名称。

9. 点击保存。

10. 点击播放。

清理

为避免因本页中使用的资源导致您的 Google Cloud 账号产生费用，请按照以下步骤操作。

删除存储桶

1. 在 Google Cloud 控制台中，前往 Cloud Storage 浏览器页面。

   转到“Cloud Storage 浏览器”页面

2. 选中所创建存储分区旁边的复选框。

3. 点击删除。

4. 在显示的弹出式窗口中，点击删除以永久删除存储分区及其内容。

删除作业

注意：作业将在完成后的 30 天内自动删除（默认情况下）。如需更改此时间，请在 Job 资源中设置 ttlAfterCompletionDays 字段。

REST

在使用任何请求数据之前，请先进行以下替换：

JOB_ID：您创建的作业的 ID。

PROJECT_ID：您的 Google Cloud 项目 ID。

LOCATION：您的作业的位置。请使用其中一个受支持的区域。

显示位置

• us-central1
• us-west1
• us-west2
• us-east1
• us-east4
• southamerica-east1
• northamerica-northeast1
• asia-east1
• asia-northeast1
• asia-northeast3
• asia-south1
• asia-southeast1
• australia-southeast1
• europe-west1
• europe-west2
• europe-west4
• me-west1
• me-central1
• me-central2

如需发送您的请求，请展开以下选项之一：

curl（Linux、macOS 或 Cloud Shell）

注意：以下命令假定您已使用您的用户账号通过运行 gcloud init 或 gcloud auth login 登录 gcloud CLI，或者使用了 Cloud Shell，这会使您自动登录 gcloud CLI。您可以运行 gcloud auth list 来检查当前活跃的账号。

执行以下命令：

curl -X DELETE \
     -H "Authorization: Bearer $(gcloud auth print-access-token)" \
     "https://transcoder.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/jobs/JOB_ID"

PowerShell (Windows)

注意：以下命令假定您已使用您的用户账号通过运行 gcloud init 或 gcloud auth login 登录 gcloud CLI。您可以运行 gcloud auth list 来检查当前活跃的账号。

执行以下命令：

$cred = gcloud auth print-access-token
$headers = @{ "Authorization" = "Bearer $cred" }

Invoke-WebRequest `
    -Method DELETE `
    -Headers $headers `
    -Uri "https://transcoder.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/jobs/JOB_ID" | Select-Object -Expand Content

您应该收到类似以下内容的 JSON 响应：

{}

gcloud

1. 对 gcloud 命令进行以下替换：
• JOB_ID：您创建的作业的 ID。
• LOCATION：您的作业的位置。请使用其中一个受支持的区域。
  显示位置
  • us-central1
  • us-west1
  • us-west2
  • us-east1
  • us-east4
  • southamerica-east1
  • northamerica-northeast1
  • asia-east1
  • asia-northeast1
  • asia-northeast3
  • asia-south1
  • asia-southeast1
  • australia-southeast1
  • europe-west1
  • europe-west2
  • europe-west4
  • me-west1
  • me-central1
  • me-central2
2. 运行以下命令：

   gcloud transcoder jobs delete JOB_ID --location=LOCATION

   您应该会看到如下所示的响应：

   Deleted job [projects/PROJECT_ID/locations/LOCATION/jobs/JOB_ID].
   

C#

在试用此示例之前，请按照 Transcoder API 快速入门：使用客户端库中的 C# 设置说明进行操作。 如需了解详情，请参阅 Transcoder API C# API 参考文档。

如需向 Transcoder API 进行身份验证，请设置应用默认凭据。 如需了解详情，请参阅为本地开发环境设置身份验证。

using Google.Cloud.Video.Transcoder.V1;

public class DeleteJobSample
{
    public void DeleteJob(string projectId, string location, string jobId)
    {
        // Create the client.
        TranscoderServiceClient client = TranscoderServiceClient.Create();

        // Build the job name.
        JobName jobName = JobName.FromProjectLocationJob(projectId, location, jobId);

        // Call the API.
        client.DeleteJob(jobName);
    }
}

Go

在试用此示例之前，请按照 Transcoder API 快速入门：使用客户端库中的 Go 设置说明进行操作。 如需了解详情，请参阅 Transcoder API Go API 参考文档。

如需向 Transcoder API 进行身份验证，请设置应用默认凭据。 如需了解详情，请参阅为本地开发环境设置身份验证。

import (
	"context"
	"fmt"
	"io"

	transcoder "cloud.google.com/go/video/transcoder/apiv1"
	"cloud.google.com/go/video/transcoder/apiv1/transcoderpb"
)

// deleteJob deletes a previously-created job. See
// https://cloud.google.com/transcoder/docs/how-to/jobs#delete_jobs for more
// information.
func deleteJob(w io.Writer, projectID string, location string, jobID string) error {
	// projectID := "my-project-id"
	// location := "us-central1"
	// jobID := "my-job-id"
	ctx := context.Background()
	client, err := transcoder.NewClient(ctx)
	if err != nil {
		return fmt.Errorf("NewClient: %w", err)
	}
	defer client.Close()

	req := &transcoderpb.DeleteJobRequest{
		Name: fmt.Sprintf("projects/%s/locations/%s/jobs/%s", projectID, location, jobID),
	}

	err = client.DeleteJob(ctx, req)
	if err != nil {
		return fmt.Errorf("DeleteJob: %w", err)
	}

	fmt.Fprintf(w, "Deleted job")
	return nil
}

Java

在试用此示例之前，请按照 Transcoder API 快速入门：使用客户端库中的 Java 设置说明进行操作。 如需了解详情，请参阅 Transcoder API Java API 参考文档。

如需向 Transcoder API 进行身份验证，请设置应用默认凭据。 如需了解详情，请参阅为本地开发环境设置身份验证。

import com.google.cloud.video.transcoder.v1.DeleteJobRequest;
import com.google.cloud.video.transcoder.v1.JobName;
import com.google.cloud.video.transcoder.v1.TranscoderServiceClient;
import java.io.IOException;

public class DeleteJob {

  public static void main(String[] args) throws Exception {
    // TODO(developer): Replace these variables before running the sample.
    String projectId = "my-project-id";
    String location = "us-central1";
    String jobId = "my-job-id";

    deleteJob(projectId, location, jobId);
  }

  // Deletes a job.
  public static void deleteJob(String projectId, String location, String jobId) throws IOException {
    // Initialize client that will be used to send requests. This client only needs to be created
    // once, and can be reused for multiple requests.
    try (TranscoderServiceClient transcoderServiceClient = TranscoderServiceClient.create()) {
      JobName jobName =
          JobName.newBuilder().setProject(projectId).setLocation(location).setJob(jobId).build();
      DeleteJobRequest deleteJobRequest = DeleteJobRequest.newBuilder().setName(jobName.toString())
          .build();

      // Send the delete job request and process the response.
      transcoderServiceClient.deleteJob(deleteJobRequest);
      System.out.println("Deleted job");
    }
  }
}

Node.js

在试用此示例之前，请按照 Transcoder API 快速入门：使用客户端库中的 Node.js 设置说明进行操作。 如需了解详情，请参阅 Transcoder API Node.js API 参考文档。

如需向 Transcoder API 进行身份验证，请设置应用默认凭据。 如需了解详情，请参阅为本地开发环境设置身份验证。

/**
 * TODO(developer): Uncomment these variables before running the sample.
 */
// projectId = 'my-project-id';
// location = 'us-central1';
// jobId = 'my-job-id';

// Imports the Transcoder library
const {TranscoderServiceClient} =
  require('@google-cloud/video-transcoder').v1;

// Instantiates a client
const transcoderServiceClient = new TranscoderServiceClient();

async function deleteJob() {
  // Construct request
  const request = {
    name: transcoderServiceClient.jobPath(projectId, location, jobId),
  };
  await transcoderServiceClient.deleteJob(request);
  console.log('Deleted job');
}

deleteJob();

PHP

在试用此示例之前，请按照 Transcoder API 快速入门：使用客户端库中的 PHP 设置说明进行操作。 如需了解详情，请参阅 Transcoder API PHP API 参考文档。

如需向 Transcoder API 进行身份验证，请设置应用默认凭据。 如需了解详情，请参阅为本地开发环境设置身份验证。

use Google\Cloud\Video\Transcoder\V1\Client\TranscoderServiceClient;
use Google\Cloud\Video\Transcoder\V1\DeleteJobRequest;

/**
 * Deletes a Transcoder job.
 *
 * @param string $projectId The ID of your Google Cloud Platform project.
 * @param string $location The location of the job.
 * @param string $jobId The job ID.
 */
function delete_job($projectId, $location, $jobId)
{
    // Instantiate a client.
    $transcoderServiceClient = new TranscoderServiceClient();

    $formattedName = $transcoderServiceClient->jobName($projectId, $location, $jobId);
    $request = (new DeleteJobRequest())
        ->setName($formattedName);
    $transcoderServiceClient->deleteJob($request);

    print('Deleted job' . PHP_EOL);
}

Python

在试用此示例之前，请按照 Transcoder API 快速入门：使用客户端库中的 Python 设置说明进行操作。 如需了解详情，请参阅 Transcoder API Python API 参考文档。

如需向 Transcoder API 进行身份验证，请设置应用默认凭据。 如需了解详情，请参阅为本地开发环境设置身份验证。

import argparse

from google.cloud.video.transcoder_v1.services.transcoder_service import (
    TranscoderServiceClient,
)


def delete_job(
    project_id: str,
    location: str,
    job_id: str,
) -> None:
    """Gets a job.

    Args:
        project_id: The GCP project ID.
        location: The location this job is in.
        job_id: The job ID."""

    client = TranscoderServiceClient()

    name = f"projects/{project_id}/locations/{location}/jobs/{job_id}"
    response = client.delete_job(name=name)
    print("Deleted job")
    return response

Ruby

在试用此示例之前，请按照 Transcoder API 快速入门：使用客户端库中的 Ruby 设置说明进行操作。 如需了解详情，请参阅 Transcoder API Ruby API 参考文档。

如需向 Transcoder API 进行身份验证，请设置应用默认凭据。 如需了解详情，请参阅为本地开发环境设置身份验证。

# project_id = "YOUR-GOOGLE-CLOUD-PROJECT"  # (e.g. "my-project")
# location   = "YOUR-JOB-LOCATION"  # (e.g. "us-central1")
# job_id     = "YOUR-JOB-ID"  # (e.g. "c82c295b-3f5a-47df-8562-938a89d40fd0")

# Require the Transcoder client library.
require "google/cloud/video/transcoder"

# Create a Transcoder client.
client = Google::Cloud::Video::Transcoder.transcoder_service

# Build the resource name of the job.
name = client.job_path project: project_id, location: location, job: job_id

# Delete the job.
client.delete_job name: name

# Print a success message.
puts "Deleted job"

撤消您的凭据

1. Optional: Revoke the authentication credentials that you created, and delete the local credential file.

   gcloud auth application-default revoke

2. Optional: Revoke credentials from the gcloud CLI.

   gcloud auth revoke

后续步骤

• 阅读 Transcoder API 概览。