创建和管理作业

本页面介绍了如何创建和管理 Transcoder API 作业。

作业表示使用 Transcoder API 管理工作的基本单元。向 Transcoder API 提交作业时，请指定应在哪个地理位置处理作业。您可以列出一个区域中的所有作业。

如需详细了解如何跨地理区域处理作业和相关 Google Cloud 资源，请参阅区域。

设置您的 Google Cloud 项目和身份验证

如果您尚未创建 Google Cloud 项目和凭据，请参阅开始前须知。

创建作业

您可以使用预设的作业模板或已创建的自定义作业模板来创建作业。如需了解如何创建作业模板，请参阅创建和管理作业模板。除了使用模板以外，您还可以在请求中创建作业并直接发送作业的配置。

Transcoder API 支持两种作业模式：交互式和批量。以下部分介绍了如何在交互模式下启动作业。如需以批处理模式启动作业，您必须设置一个额外的字段（如需了解详情，请参阅批处理作业）。

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。

根据预设创建作业

要创建作业，请使用 projects.locations.jobs.create 方法。作业将转码为以对象形式存储在 Cloud Storage 中的媒体文件。

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
• 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。
  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。

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"

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" | 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

在使用下面的命令数据之前，请先进行以下替换：

• 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
• 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。
  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。

执行以下命令：

Linux、macOS 或 Cloud Shell

注意：通过运行 gcloud init 或 gcloud auth login 和 gcloud config set project，确保您已使用身份验证和项目初始化了 Google Cloud CLI。

gcloud transcoder jobs create \
  --input-uri="gs://STORAGE_BUCKET_NAME/STORAGE_INPUT_VIDEO" \
  --location=LOCATION \
  --output-uri="gs://STORAGE_BUCKET_NAME/STORAGE_OUTPUT_FOLDER/" \
  --template-id="preset/web-hd"

Windows (PowerShell)

注意：通过运行 gcloud init 或 gcloud auth login 和 gcloud config set project，确保您已使用身份验证和项目初始化了 Google Cloud CLI。

gcloud transcoder jobs create `
  --input-uri="gs://STORAGE_BUCKET_NAME/STORAGE_INPUT_VIDEO" `
  --location=LOCATION `
  --output-uri="gs://STORAGE_BUCKET_NAME/STORAGE_OUTPUT_FOLDER/" `
  --template-id="preset/web-hd"

Windows (cmd.exe)

注意：通过运行 gcloud init 或 gcloud auth login 和 gcloud config set project，确保您已使用身份验证和项目初始化了 Google Cloud CLI。

gcloud transcoder jobs create ^
  --input-uri="gs://STORAGE_BUCKET_NAME/STORAGE_INPUT_VIDEO" ^
  --location=LOCATION ^
  --output-uri="gs://STORAGE_BUCKET_NAME/STORAGE_OUTPUT_FOLDER/" ^
  --template-id="preset/web-hd"

您应该会收到类似如下所示的响应：

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.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}"

根据作业模板创建作业

如果您已在某个位置创建至少一个作业模板，则可以在发送请求时指定作业模板，以在该位置创建 Transcoder API 作业。

要创建作业，请使用 projects.locations.jobs.create 方法。

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
• 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）。
• 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。
• TEMPLATE_ID：您创建的作业模板的 ID。如果您没有指定自定义作业模板，Transcoder API 会使用 preset/web-hd 作业模板。

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": "TEMPLATE_ID"
}
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"

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": "TEMPLATE_ID"
}
'@  | 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" | 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": 60,
            "bitrateBps": 550000,
            "pixelFormat": "yuv420p",
            "rateControlMode": "vbr",
            "crfLevel": 21,
            "gopDuration": "3s",
            "vbvSizeBits": 550000,
            "vbvFullnessBits": 495000,
            "entropyCoder": "cabac",
            "profile": "high",
            "preset": "veryfast"
          }
        },
        "key": "video-stream0"
      },
      {
        "videoStream": {
          "h264": {
            "widthPixels": 1280,
            "heightPixels": 720,
            "frameRate": 60,
            "bitrateBps": 2500000,
            "pixelFormat": "yuv420p",
            "rateControlMode": "vbr",
            "crfLevel": 21,
            "gopDuration": "3s",
            "vbvSizeBits": 2500000,
            "vbvFullnessBits": 2250000,
            "entropyCoder": "cabac",
            "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"
        ]
      }
    ],
    "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：
• 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）。
• 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
• 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。
• TEMPLATE_ID：您创建的作业模板的 ID。如果您没有指定自定义作业模板，Transcoder API 会使用 preset/web-hd 作业模板。
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/" \
     --template-id="TEMPLATE_ID"

   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": 60,
               "bitrateBps": 550000,
               "pixelFormat": "yuv420p",
               "rateControlMode": "vbr",
               "crfLevel": 21,
               "gopDuration": "3s",
               "vbvSizeBits": 550000,
               "vbvFullnessBits": 495000,
               "entropyCoder": "cabac",
               "profile": "high",
               "preset": "veryfast"
             }
           },
           "key": "video-stream0"
         },
         {
           "videoStream": {
             "h264": {
               "widthPixels": 1280,
               "heightPixels": 720,
               "frameRate": 60,
               "bitrateBps": 2500000,
               "pixelFormat": "yuv420p",
               "rateControlMode": "vbr",
               "crfLevel": 21,
               "gopDuration": "3s",
               "vbvSizeBits": 2500000,
               "vbvFullnessBits": 2250000,
               "entropyCoder": "cabac",
               "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"
           ]
         }
       ],
       "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.Api.Gax.ResourceNames;
using Google.Cloud.Video.Transcoder.V1;

public class CreateJobFromTemplateSample
{
    public Job CreateJobFromTemplate(
        string projectId, string location, string inputUri, string outputUri, string templateId)
    {
        // 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 = templateId
        };

        // 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"
)

// createJobFromTemplate creates a job from a template. See
// https://cloud.google.com/transcoder/docs/how-to/jobs#create_jobs_templates
// for more information.
func createJobFromTemplate(w io.Writer, projectID string, location string, inputURI string, outputURI string, templateID string) error {
	// projectID := "my-project-id"
	// location := "us-central1"
	// inputURI := "gs://my-bucket/my-video-file"
	// outputURI := "gs://my-bucket/my-output-folder/"
	// templateID := "my-job-template"
	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: templateID,
			},
		},
	}
	// 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("createJobFromTemplate: %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 CreateJobFromTemplate {

  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/";
    String templateId = "my-job-template";

    createJobFromTemplate(projectId, location, inputUri, outputUri, templateId);
  }

  // Creates a job from a job template.
  public static void createJobFromTemplate(
      String projectId, String location, String inputUri, String outputUri, String templateId)
      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(templateId)
                      .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/';
// templateId = 'my-job-template';

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

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

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

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

createJobFromTemplate();

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 template.
 *
 * @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 $templateId The job template ID.
 */
function create_job_from_template($projectId, $location, $inputUri, $outputUri, $templateId)
{
    // Instantiate a client.
    $transcoderServiceClient = new TranscoderServiceClient();

    $formattedParent = $transcoderServiceClient->locationName($projectId, $location);
    $job = new Job();
    $job->setInputUri($inputUri);
    $job->setOutputUri($outputUri);
    $job->setTemplateId($templateId);
    $request = (new CreateJobRequest())
        ->setParent($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_template(
    project_id: str,
    location: str,
    input_uri: str,
    output_uri: str,
    template_id: str,
) -> transcoder_v1.types.resources.Job:
    """Creates a job based on a job template.

    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.
        template_id: The user-defined template ID.

    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 = template_id

    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/")
# template_id = "YOUR-JOB-TEMPLATE"  # (e.g. "my-job-template")

# 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: template_id
}

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

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

该响应类似于在使用默认模板创建作业时返回的响应。

使用临时配置创建作业

您可以为包含创建作业的请求的作业发送一个临时配置。

要创建作业，请使用 projects.locations.jobs.create 方法。

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
• 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）。
• 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。

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'
{
  "config": {
    "inputs": [
          {
            "key": "input0",
            "uri": "gs://STORAGE_BUCKET_NAME/STORAGE_INPUT_VIDEO"
          }
        ],
    "elementaryStreams": [
      {
        "key": "video-stream0",
        "videoStream": {
          "h264": {
            "heightPixels": 360,
            "widthPixels": 640,
            "bitrateBps": 550000,
            "frameRate": 60
          }
        }
      },
      {
        "key": "video-stream1",
        "videoStream": {
          "h264": {
            "heightPixels": 720,
            "widthPixels": 1280,
            "bitrateBps": 2500000,
            "frameRate": 60
          }
        }
      },
      {
        "key": "audio-stream0",
        "audioStream": {
          "codec": "aac",
          "bitrateBps": 64000
        }
      }
    ],
    "muxStreams": [
      {
        "key": "sd",
        "container": "mp4",
        "elementaryStreams": [
          "video-stream0",
          "audio-stream0"
        ]
      },
      {
        "key": "hd",
        "container": "mp4",
        "elementaryStreams": [
          "video-stream1",
          "audio-stream0"
        ]
      }
    ],
    "output": {
      "uri": "gs://STORAGE_BUCKET_NAME/STORAGE_OUTPUT_FOLDER/"
    }
  }
}
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"

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：

@'
{
  "config": {
    "inputs": [
          {
            "key": "input0",
            "uri": "gs://STORAGE_BUCKET_NAME/STORAGE_INPUT_VIDEO"
          }
        ],
    "elementaryStreams": [
      {
        "key": "video-stream0",
        "videoStream": {
          "h264": {
            "heightPixels": 360,
            "widthPixels": 640,
            "bitrateBps": 550000,
            "frameRate": 60
          }
        }
      },
      {
        "key": "video-stream1",
        "videoStream": {
          "h264": {
            "heightPixels": 720,
            "widthPixels": 1280,
            "bitrateBps": 2500000,
            "frameRate": 60
          }
        }
      },
      {
        "key": "audio-stream0",
        "audioStream": {
          "codec": "aac",
          "bitrateBps": 64000
        }
      }
    ],
    "muxStreams": [
      {
        "key": "sd",
        "container": "mp4",
        "elementaryStreams": [
          "video-stream0",
          "audio-stream0"
        ]
      },
      {
        "key": "hd",
        "container": "mp4",
        "elementaryStreams": [
          "video-stream1",
          "audio-stream0"
        ]
      }
    ],
    "output": {
      "uri": "gs://STORAGE_BUCKET_NAME/STORAGE_OUTPUT_FOLDER/"
    }
  }
}
'@  | 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" | 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": 60,
            "bitrateBps": 550000,
            "pixelFormat": "yuv420p",
            "rateControlMode": "vbr",
            "crfLevel": 21,
            "gopDuration": "3s",
            "vbvSizeBits": 550000,
            "vbvFullnessBits": 495000,
            "entropyCoder": "cabac",
            "profile": "high",
            "preset": "veryfast"
          }
        },
        "key": "video-stream0"
      },
      {
        "videoStream": {
          "h264": {
            "widthPixels": 1280,
            "heightPixels": 720,
            "frameRate": 60,
            "bitrateBps": 2500000,
            "pixelFormat": "yuv420p",
            "rateControlMode": "vbr",
            "crfLevel": 21,
            "gopDuration": "3s",
            "vbvSizeBits": 2500000,
            "vbvFullnessBits": 2250000,
            "entropyCoder": "cabac",
            "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"
        ]
      }
    ],
    "output": {
      "uri": "gs://STORAGE_BUCKET_NAME/STORAGE_OUTPUT_FOLDER/"
    }
  },
  "state": "PENDING",
  "createTime": CREATE_TIME,
  "ttlAfterCompletionDays": 30
}

gcloud

在使用下面的命令数据之前，请先进行以下替换：

• 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
• 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）。
• 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。

将以下内容保存在名为 request.json 的文件中：

{
  "config": {
    "elementaryStreams": [
      {
        "key": "video-stream0",
        "videoStream": {
          "h264": {
            "heightPixels": 360,
            "widthPixels": 640,
            "bitrateBps": 550000,
            "frameRate": 60
          }
        }
      },
      {
        "key": "video-stream1",
        "videoStream": {
          "h264": {
            "heightPixels": 720,
            "widthPixels": 1280,
            "bitrateBps": 2500000,
            "frameRate": 60
          }
        }
      },
      {
        "key": "audio-stream0",
        "audioStream": {
          "codec": "aac",
          "bitrateBps": 64000
        }
      }
    ],
    "muxStreams": [
      {
        "key": "sd",
        "container": "mp4",
        "elementaryStreams": [
          "video-stream0",
          "audio-stream0"
        ]
      },
      {
        "key": "hd",
        "container": "mp4",
        "elementaryStreams": [
          "video-stream1",
          "audio-stream0"
        ]
      }
    ]
  }
}

执行以下命令：

Linux、macOS 或 Cloud Shell

注意：通过运行 gcloud init 或 gcloud auth login 和 gcloud config set project，确保您已使用身份验证和项目初始化了 Google Cloud CLI。

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

Windows (PowerShell)

注意：通过运行 gcloud init 或 gcloud auth login 和 gcloud config set project，确保您已使用身份验证和项目初始化了 Google Cloud CLI。

gcloud transcoder jobs create `
  --input-uri="gs://STORAGE_BUCKET_NAME/STORAGE_INPUT_VIDEO" `
  --location=LOCATION `
  --output-uri="gs://STORAGE_BUCKET_NAME/STORAGE_OUTPUT_FOLDER/" `
  --file="request.json"

Windows (cmd.exe)

注意：通过运行 gcloud init 或 gcloud auth login 和 gcloud config set project，确保您已使用身份验证和项目初始化了 Google Cloud CLI。

gcloud transcoder jobs create ^
  --input-uri="gs://STORAGE_BUCKET_NAME/STORAGE_INPUT_VIDEO" ^
  --location=LOCATION ^
  --output-uri="gs://STORAGE_BUCKET_NAME/STORAGE_OUTPUT_FOLDER/" ^
  --file="request.json"

您应该会收到类似如下所示的响应：

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": 60,
            "bitrateBps": 550000,
            "pixelFormat": "yuv420p",
            "rateControlMode": "vbr",
            "crfLevel": 21,
            "gopDuration": "3s",
            "vbvSizeBits": 550000,
            "vbvFullnessBits": 495000,
            "entropyCoder": "cabac",
            "profile": "high",
            "preset": "veryfast"
          }
        },
        "key": "video-stream0"
      },
      {
        "videoStream": {
          "h264": {
            "widthPixels": 1280,
            "heightPixels": 720,
            "frameRate": 60,
            "bitrateBps": 2500000,
            "pixelFormat": "yuv420p",
            "rateControlMode": "vbr",
            "crfLevel": 21,
            "gopDuration": "3s",
            "vbvSizeBits": 2500000,
            "vbvFullnessBits": 2250000,
            "entropyCoder": "cabac",
            "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"
        ]
      }
    ],
    "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.Api.Gax.ResourceNames;
using Google.Cloud.Video.Transcoder.V1;

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

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

        // Build the job config.
        VideoStream videoStream0 = new VideoStream
        {
            H264 = new VideoStream.Types.H264CodecSettings
            {
                BitrateBps = 550000,
                FrameRate = 60,
                HeightPixels = 360,
                WidthPixels = 640
            }
        };

        VideoStream videoStream1 = new VideoStream
        {
            H264 = new VideoStream.Types.H264CodecSettings
            {
                BitrateBps = 2500000,
                FrameRate = 60,
                HeightPixels = 720,
                WidthPixels = 1280
            }
        };

        AudioStream audioStream0 = new AudioStream
        {
            Codec = "aac",
            BitrateBps = 64000
        };

        ElementaryStream elementaryStream0 = new ElementaryStream
        {
            Key = "video_stream0",
            VideoStream = videoStream0
        };

        ElementaryStream elementaryStream1 = new ElementaryStream
        {
            Key = "video_stream1",
            VideoStream = videoStream1
        };

        ElementaryStream elementaryStream2 = new ElementaryStream
        {
            Key = "audio_stream0",
            AudioStream = audioStream0
        };

        MuxStream muxStream0 = new MuxStream
        {
            Key = "sd",
            Container = "mp4",
            ElementaryStreams = { "video_stream0", "audio_stream0" }
        };

        MuxStream muxStream1 = new MuxStream
        {
            Key = "hd",
            Container = "mp4",
            ElementaryStreams = { "video_stream1", "audio_stream0" }

        };

        Input input = new Input
        {
            Key = "input0",
            Uri = inputUri
        };

        Output output = new Output
        {
            Uri = outputUri
        };

        JobConfig jobConfig = new JobConfig
        {
            Inputs = { input },
            Output = output,
            ElementaryStreams = { elementaryStream0, elementaryStream1, elementaryStream2 },
            MuxStreams = { muxStream0, muxStream1 }
        };

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

        // 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"
)

// createJobFromAdHoc creates a job based on a given configuration. See
// https://cloud.google.com/transcoder/docs/how-to/jobs#create_jobs_ad_hoc
// for more information.
func createJobFromAdHoc(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/"
	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_Config{
				Config: &transcoderpb.JobConfig{
					ElementaryStreams: []*transcoderpb.ElementaryStream{
						{
							Key: "video_stream0",
							ElementaryStream: &transcoderpb.ElementaryStream_VideoStream{
								VideoStream: &transcoderpb.VideoStream{
									CodecSettings: &transcoderpb.VideoStream_H264{
										H264: &transcoderpb.VideoStream_H264CodecSettings{
											BitrateBps:   550000,
											FrameRate:    60,
											HeightPixels: 360,
											WidthPixels:  640,
										},
									},
								},
							},
						},
						{
							Key: "video_stream1",
							ElementaryStream: &transcoderpb.ElementaryStream_VideoStream{
								VideoStream: &transcoderpb.VideoStream{
									CodecSettings: &transcoderpb.VideoStream_H264{
										H264: &transcoderpb.VideoStream_H264CodecSettings{
											BitrateBps:   2500000,
											FrameRate:    60,
											HeightPixels: 720,
											WidthPixels:  1280,
										},
									},
								},
							},
						},
						{
							Key: "audio_stream0",
							ElementaryStream: &transcoderpb.ElementaryStream_AudioStream{
								AudioStream: &transcoderpb.AudioStream{
									Codec:      "aac",
									BitrateBps: 64000,
								},
							},
						},
					},
					MuxStreams: []*transcoderpb.MuxStream{
						{
							Key:               "sd",
							Container:         "mp4",
							ElementaryStreams: []string{"video_stream0", "audio_stream0"},
						},
						{
							Key:               "hd",
							Container:         "mp4",
							ElementaryStreams: []string{"video_stream1", "audio_stream0"},
						},
					},
				},
			},
		},
	}
	// 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("createJobFromAdHoc: %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.AudioStream;
import com.google.cloud.video.transcoder.v1.CreateJobRequest;
import com.google.cloud.video.transcoder.v1.ElementaryStream;
import com.google.cloud.video.transcoder.v1.Input;
import com.google.cloud.video.transcoder.v1.Job;
import com.google.cloud.video.transcoder.v1.JobConfig;
import com.google.cloud.video.transcoder.v1.LocationName;
import com.google.cloud.video.transcoder.v1.MuxStream;
import com.google.cloud.video.transcoder.v1.Output;
import com.google.cloud.video.transcoder.v1.TranscoderServiceClient;
import com.google.cloud.video.transcoder.v1.VideoStream;
import com.google.cloud.video.transcoder.v1.VideoStream.H264CodecSettings;
import java.io.IOException;

public class CreateJobFromAdHoc {

  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/";

    createJobFromAdHoc(projectId, location, inputUri, outputUri);
  }

  // Creates a job from an ad-hoc configuration.
  public static void createJobFromAdHoc(
      String projectId, String location, String inputUri, String outputUri) 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()) {

      VideoStream videoStream0 =
          VideoStream.newBuilder()
              .setH264(
                  H264CodecSettings.newBuilder()
                      .setBitrateBps(550000)
                      .setFrameRate(60)
                      .setHeightPixels(360)
                      .setWidthPixels(640))
              .build();

      VideoStream videoStream1 =
          VideoStream.newBuilder()
              .setH264(
                  H264CodecSettings.newBuilder()
                      .setBitrateBps(2500000)
                      .setFrameRate(60)
                      .setHeightPixels(720)
                      .setWidthPixels(1280))
              .build();

      AudioStream audioStream0 =
          AudioStream.newBuilder().setCodec("aac").setBitrateBps(64000).build();

      JobConfig config =
          JobConfig.newBuilder()
              .addInputs(Input.newBuilder().setKey("input0").setUri(inputUri))
              .setOutput(Output.newBuilder().setUri(outputUri))
              .addElementaryStreams(
                  ElementaryStream.newBuilder()
                      .setKey("video_stream0")
                      .setVideoStream(videoStream0))
              .addElementaryStreams(
                  ElementaryStream.newBuilder()
                      .setKey("video_stream1")
                      .setVideoStream(videoStream1))
              .addElementaryStreams(
                  ElementaryStream.newBuilder()
                      .setKey("audio_stream0")
                      .setAudioStream(audioStream0))
              .addMuxStreams(
                  MuxStream.newBuilder()
                      .setKey("sd")
                      .setContainer("mp4")
                      .addElementaryStreams("video_stream0")
                      .addElementaryStreams("audio_stream0")
                      .build())
              .addMuxStreams(
                  MuxStream.newBuilder()
                      .setKey("hd")
                      .setContainer("mp4")
                      .addElementaryStreams("video_stream1")
                      .addElementaryStreams("audio_stream0")
                      .build())
              .build();

      CreateJobRequest createJobRequest =
          CreateJobRequest.newBuilder()
              .setJob(
                  Job.newBuilder()
                      .setInputUri(inputUri)
                      .setOutputUri(outputUri)
                      .setConfig(config)
                      .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/';

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

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

async function createJobFromAdHoc() {
  // Construct request
  const request = {
    parent: transcoderServiceClient.locationPath(projectId, location),
    job: {
      inputUri: inputUri,
      outputUri: outputUri,
      config: {
        elementaryStreams: [
          {
            key: 'video-stream0',
            videoStream: {
              h264: {
                heightPixels: 360,
                widthPixels: 640,
                bitrateBps: 550000,
                frameRate: 60,
              },
            },
          },
          {
            key: 'video-stream1',
            videoStream: {
              h264: {
                heightPixels: 720,
                widthPixels: 1280,
                bitrateBps: 2500000,
                frameRate: 60,
              },
            },
          },
          {
            key: 'audio-stream0',
            audioStream: {
              codec: 'aac',
              bitrateBps: 64000,
            },
          },
        ],
        muxStreams: [
          {
            key: 'sd',
            container: 'mp4',
            elementaryStreams: ['video-stream0', 'audio-stream0'],
          },
          {
            key: 'hd',
            container: 'mp4',
            elementaryStreams: ['video-stream1', 'audio-stream0'],
          },
        ],
      },
    },
  };

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

createJobFromAdHoc();

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\AudioStream;
use Google\Cloud\Video\Transcoder\V1\Client\TranscoderServiceClient;
use Google\Cloud\Video\Transcoder\V1\CreateJobRequest;
use Google\Cloud\Video\Transcoder\V1\ElementaryStream;
use Google\Cloud\Video\Transcoder\V1\Job;
use Google\Cloud\Video\Transcoder\V1\JobConfig;
use Google\Cloud\Video\Transcoder\V1\MuxStream;
use Google\Cloud\Video\Transcoder\V1\VideoStream;

/**
 * Creates a job based on an ad-hoc job configuration.
 *
 * @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 $outputUri Uri of the video output folder in the Cloud Storage bucket.
 */
function create_job_from_ad_hoc($projectId, $location, $inputUri, $outputUri)
{
    // Instantiate a client.
    $transcoderServiceClient = new TranscoderServiceClient();

    $formattedParent = $transcoderServiceClient->locationName($projectId, $location);
    $jobConfig =
        (new JobConfig())->setElementaryStreams([
            (new ElementaryStream())
                ->setKey('video-stream0')
                ->setVideoStream(
                    (new VideoStream())
                        ->setH264(
                            (new VideoStream\H264CodecSettings())
                                ->setBitrateBps(550000)
                                ->setFrameRate(60)
                                ->setHeightPixels(360)
                                ->setWidthPixels(640)
                        )
                ),
            (new ElementaryStream())
                ->setKey('video-stream1')
                ->setVideoStream(
                    (new VideoStream())
                        ->setH264(
                            (new VideoStream\H264CodecSettings())
                                ->setBitrateBps(2500000)
                                ->setFrameRate(60)
                                ->setHeightPixels(720)
                                ->setWidthPixels(1280)
                        )
                ),
            (new ElementaryStream())
                ->setKey('audio-stream0')
                ->setAudioStream(
                    (new AudioStream())
                        ->setCodec('aac')
                        ->setBitrateBps(64000)
                )
            ])->setMuxStreams([
                (new MuxStream())
                    ->setKey('sd')
                    ->setContainer('mp4')
                    ->setElementaryStreams(['video-stream0', 'audio-stream0']),
                (new MuxStream())
                    ->setKey('hd')
                    ->setContainer('mp4')
                    ->setElementaryStreams(['video-stream1', 'audio-stream0'])
        ]);

    $job = (new Job())
        ->setInputUri($inputUri)
        ->setOutputUri($outputUri)
        ->setConfig($jobConfig);
    $request = (new CreateJobRequest())
        ->setParent($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_ad_hoc(
    project_id: str,
    location: str,
    input_uri: str,
    output_uri: str,
) -> transcoder_v1.types.resources.Job:
    """Creates a job based on an ad-hoc job configuration.

    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.

    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.config = transcoder_v1.types.JobConfig(
        elementary_streams=[
            transcoder_v1.types.ElementaryStream(
                key="video-stream0",
                video_stream=transcoder_v1.types.VideoStream(
                    h264=transcoder_v1.types.VideoStream.H264CodecSettings(
                        height_pixels=360,
                        width_pixels=640,
                        bitrate_bps=550000,
                        frame_rate=60,
                    ),
                ),
            ),
            transcoder_v1.types.ElementaryStream(
                key="video-stream1",
                video_stream=transcoder_v1.types.VideoStream(
                    h264=transcoder_v1.types.VideoStream.H264CodecSettings(
                        height_pixels=720,
                        width_pixels=1280,
                        bitrate_bps=2500000,
                        frame_rate=60,
                    ),
                ),
            ),
            transcoder_v1.types.ElementaryStream(
                key="audio-stream0",
                audio_stream=transcoder_v1.types.AudioStream(
                    codec="aac", bitrate_bps=64000
                ),
            ),
        ],
        mux_streams=[
            transcoder_v1.types.MuxStream(
                key="sd",
                container="mp4",
                elementary_streams=["video-stream0", "audio-stream0"],
            ),
            transcoder_v1.types.MuxStream(
                key="hd",
                container="mp4",
                elementary_streams=["video-stream1", "audio-stream0"],
            ),
        ],
    )
    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/")

# 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

# Build the job config.
new_job = {
  input_uri: input_uri,
  output_uri: output_uri,
  config: {
    elementary_streams: [
      {
        key: "video-stream0",
        video_stream: {
          h264: {
            height_pixels: 360,
            width_pixels: 640,
            bitrate_bps: 550_000,
            frame_rate: 60
          }
        }
      },
      {
        key: "video-stream1",
        video_stream: {
          h264: {
            height_pixels: 720,
            width_pixels: 1280,
            bitrate_bps: 2_500_000,
            frame_rate: 60
          }
        }
      },
      {
        key: "audio-stream0",
        audio_stream: {
          codec: "aac",
          bitrate_bps: 64_000
        }
      }
    ],
    mux_streams: [
      {
        key: "sd",
        container: "mp4",
        elementary_streams: [
          "video-stream0",
          "audio-stream0"
        ]
      },
      {
        key: "hd",
        container: "mp4",
        elementary_streams: [
          "video-stream1",
          "audio-stream0"
        ]
      }
    ]
  }
}

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

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

获取作业详情

如需检查作业详情或作业状态，请使用 projects.locations.jobs.get 方法。

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

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": 60,
            "bitrateBps": 550000,
            "pixelFormat": "yuv420p",
            "rateControlMode": "vbr",
            "crfLevel": 21,
            "gopDuration": "3s",
            "vbvSizeBits": 550000,
            "vbvFullnessBits": 495000,
            "entropyCoder": "cabac",
            "profile": "high",
            "preset": "veryfast"
          }
        },
        "key": "video-stream0"
      },
      {
        "videoStream": {
          "h264": {
            "widthPixels": 1280,
            "heightPixels": 720,
            "frameRate": 60,
            "bitrateBps": 2500000,
            "pixelFormat": "yuv420p",
            "rateControlMode": "vbr",
            "crfLevel": 21,
            "gopDuration": "3s",
            "vbvSizeBits": 2500000,
            "vbvFullnessBits": 2250000,
            "entropyCoder": "cabac",
            "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"
        ]
      }
    ],
    "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
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": 60,
               "bitrateBps": 550000,
               "pixelFormat": "yuv420p",
               "rateControlMode": "vbr",
               "crfLevel": 21,
               "gopDuration": "3s",
               "vbvSizeBits": 550000,
               "vbvFullnessBits": 495000,
               "entropyCoder": "cabac",
               "profile": "high",
               "preset": "veryfast"
             }
           },
           "key": "video-stream0"
         },
         {
           "videoStream": {
             "h264": {
               "widthPixels": 1280,
               "heightPixels": 720,
               "frameRate": 60,
               "bitrateBps": 2500000,
               "pixelFormat": "yuv420p",
               "rateControlMode": "vbr",
               "crfLevel": 21,
               "gopDuration": "3s",
               "vbvSizeBits": 2500000,
               "vbvFullnessBits": 2250000,
               "entropyCoder": "cabac",
               "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"
           ]
         }
       ],
       "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 GetJobSample
{
    public Job GetJob(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;
    }
}

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"
)

// getJob gets a previously-created job. See https://cloud.google.com/transcoder/docs/how-to/jobs#check_job_status
// for more information.
func getJob(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: %v", response)
	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 GetJob {

  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";

    getJob(projectId, location, jobId);
  }

  // Gets a job.
  public static void getJob(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: " + 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';
// 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: ${response.name}`);
}

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;

/**
 * Gets a Transcoder job.
 *
 * @param string $projectId The ID of your Google Cloud Platform project.
 * @param string $location The location of the job.
 * @param string $jobId The job ID.
 */
function get_job($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 name.
    printf('Job: %s' . PHP_EOL, $job->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 get_job(
    project_id: str,
    location: str,
    job_id: str,
) -> transcoder_v1.types.resources.Job:
    """Gets a job.

    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: {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")
# 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 name.
puts "Job: #{job.name}"

该响应类似于创建作业时返回的响应。

列出作业

如果您要查看在某个位置创建的所有作业，请使用 projects.locations.jobs.list 方法。

REST

在使用任何请求数据之前，请先进行以下替换：

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

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"

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" | Select-Object -Expand Content

您应该收到类似以下内容的 JSON 响应：

{
  "jobs": [
    {
      "name": "projects/PROJECT_NUMBER/locations/LOCATION/jobs/MY_JOB",
      "config": {
        ....
       },
      "state": "PENDING",
      "createTime": CREATE_TIME,
      "ttlAfterCompletionDays": 30
    },
    {
      "name": "projects/PROJECT_NUMBER/locations/LOCATION/jobs/MY_OTHER_JOB",
      "config": {
        ....
       },
      "state": "SUCCEEDED",
      "createTime": CREATE_TIME,
      "startTime": START_TIME,
      "endTime": END_TIME,
      "ttlAfterCompletionDays": 30
    }
  ]
}

gcloud

1. 对 gcloud 命令进行以下替换：
• 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
2. 运行以下命令：

   gcloud transcoder jobs list --location=LOCATION

   您应该会看到如下所示的响应：

   NAME                                                    STATE      FAILURE_REASON
   projects/PROJECT_NUMBER/locations/LOCATION/jobs/JOB_ID  SUCCEEDED
   projects/PROJECT_NUMBER/locations/LOCATION/jobs/abc123  SUCCEEDED
   

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;
using Google.Api.Gax.ResourceNames;
using Google.Api.Gax;
using System.Linq;
using System.Collections.Generic;

public class ListJobsSample
{
    public IList<Job> ListJobs(string projectId, string location)
    {
        // Create the client.
        TranscoderServiceClient client = TranscoderServiceClient.Create();

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

        // Call the API.
        PagedEnumerable<ListJobsResponse, Job> response = client.ListJobs(parentLocation);

        // The returned sequence will lazily perform RPCs as it's being iterated over.
        return response.ToList();
    }
}

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"

	"google.golang.org/api/iterator"

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

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

	req := &transcoderpb.ListJobsRequest{
		Parent: fmt.Sprintf("projects/%s/locations/%s", projectID, location),
	}

	it := client.ListJobs(ctx, req)
	fmt.Fprintln(w, "Jobs:")

	for {
		response, err := it.Next()
		if err == iterator.Done {
			break
		}
		if err != nil {
			return fmt.Errorf("ListJobs: %w", err)
		}
		fmt.Fprintln(w, 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.Job;
import com.google.cloud.video.transcoder.v1.ListJobsRequest;
import com.google.cloud.video.transcoder.v1.LocationName;
import com.google.cloud.video.transcoder.v1.TranscoderServiceClient;
import java.io.IOException;

public class ListJobs {

  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";

    listJobs(projectId, location);
  }

  // Lists the jobs for a given location.
  public static void listJobs(String projectId, String location) 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()) {

      ListJobsRequest listJobsRequest =
          ListJobsRequest.newBuilder()
              .setParent(LocationName.of(projectId, location).toString())
              .build();

      // Send the list jobs request and process the response.
      TranscoderServiceClient.ListJobsPagedResponse response =
          transcoderServiceClient.listJobs(listJobsRequest);
      System.out.println("Jobs:");

      for (Job job : response.iterateAll()) {
        System.out.println(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';

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

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

async function listJobs() {
  const iterable = await transcoderServiceClient.listJobsAsync({
    parent: transcoderServiceClient.locationPath(projectId, location),
  });
  console.info('Jobs:');
  for await (const response of iterable) {
    console.log(response.name);
  }
}

listJobs();

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\ListJobsRequest;

/**
 * Lists all Transcoder jobs in a location.
 *
 * @param string $projectId The ID of your Google Cloud Platform project.
 * @param string $location The location of the jobs.
 */
function list_jobs($projectId, $location)
{
    // Instantiate a client.
    $transcoderServiceClient = new TranscoderServiceClient();

    $formattedParent = $transcoderServiceClient->locationName($projectId, $location);
    $request = (new ListJobsRequest())
        ->setParent($formattedParent);
    $response = $transcoderServiceClient->listJobs($request);

    // Print job list.
    $jobs = $response->iterateAllElements();
    print('Jobs:' . PHP_EOL);
    foreach ($jobs as $job) {
        printf('%s' . PHP_EOL, $job->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.transcoder_v1.services.transcoder_service import (
    pagers,
    TranscoderServiceClient,
)


def list_jobs(
    project_id: str,
    location: str,
) -> pagers.ListJobsPager:
    """Lists all jobs in a location.

    Args:
        project_id: The GCP project ID.
        location: The location of the jobs.

    Returns:
        An iterable object containing job resources.
    """

    client = TranscoderServiceClient()

    parent = f"projects/{project_id}/locations/{location}"
    response = client.list_jobs(parent=parent)
    print("Jobs:")
    for job in response.jobs:
        print({job.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")

# 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

# Get the list of jobs.
response = client.list_jobs parent: parent

puts "Jobs:"
# Print out all jobs.
response.each do |job|
  puts job.name
end

更多结果

列出作业响应可能包含 nextPageToken，可用于检索更多结果：

{
  "jobs": [
    ...
  ],
  "nextPageToken": "NEXT_PAGE_TOKEN"
}

在以下 curl 示例中，您可以发送另一个请求，并添加 NEXT_PAGE_TOKEN 的值以列出其他作业，类似以下内容：

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

如需详细了解如何使用此令牌，请参阅相关的客户端库。

过滤结果

您可以过滤列出作业方法的结果。例如，运行以下 curl 命令可列出所有活动的作业：

curl -X GET \
-H "Authorization: Bearer "$(gcloud auth application-default print-access-token) \
'https://transcoder.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/jobs?filter=-state="FAILED"+AND+-state="SUCCEEDED"'

此命令使用求反运算符列出未失败的作业和未成功的作业。生成的列表包含正在运行或待处理的作业（如需了解作业状态，请参阅 ProcessingState）。

以下是一些示例过滤条件：

• ?filter=state="FAILED"+OR+state="SUCCEEDED"：列出已完成的作业
• ?filter=createTime+>+"2021-06-09T19:25:21.007649960Z"：列出在特定时间戳之后创建的作业
• ?filter=inputUri="gs://STORAGE_BUCKET_NAME/STORAGE_INPUT_VIDEO"：列出具有特定输入 URI 的作业
• ?filter=config.output.uri="gs://STORAGE_BUCKET_NAME/STORAGE_OUTPUT_FOLDER/"：列出具有特定输出 URI 的作业

如需了解详情，请参阅 AIP-160 - 过滤。

删除作业

如需删除作业，请使用 projects.locations.jobs.delete 方法：

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

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
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"

后续步骤

了解如何创建和管理作业模板。