text: // Copyright 2019 Google LLC
  //
  // Licensed under the Apache License, Version 2.0 (the "License");
  // you may not use this file except in compliance with the License.
  // You may obtain a copy of the License at
  //
  //     https://www.apache.org/licenses/LICENSE-2.0
  //
  // Unless required by applicable law or agreed to in writing, software
  // distributed under the License is distributed on an "AS IS" BASIS,
  // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  // See the License for the specific language governing permissions and
  // limitations under the License.
  
  'use strict';
  
  const gapicConfig = require('./video_intelligence_service_client_config.json');
  const gax = require('google-gax');
  const path = require('path');
  
  const VERSION = require('../../package.json').version;
  
  /**
   * Service that implements Google Cloud Video Intelligence API.
   *
   * @class
   * @memberof v1
   */
  class VideoIntelligenceServiceClient {
    /**
     * Construct an instance of VideoIntelligenceServiceClient.
     *
     * @param {object} [options] - The configuration object. See the subsequent
     *   parameters for more details.
     * @param {object} [options.credentials] - Credentials object.
     * @param {string} [options.credentials.client_email]
     * @param {string} [options.credentials.private_key]
     * @param {string} [options.email] - Account email address. Required when
     *     using a .pem or .p12 keyFilename.
     * @param {string} [options.keyFilename] - Full path to the a .json, .pem, or
     *     .p12 key downloaded from the Google Developers Console. If you provide
     *     a path to a JSON file, the projectId option below is not necessary.
     *     NOTE: .pem and .p12 require you to specify options.email as well.
     * @param {number} [options.port] - The port on which to connect to
     *     the remote host.
     * @param {string} [options.projectId] - The project ID from the Google
     *     Developer's Console, e.g. 'grape-spaceship-123'. We will also check
     *     the environment variable GCLOUD_PROJECT for your project ID. If your
     *     app is running in an environment which supports
     *     {@link https://developers.google.com/identity/protocols/application-default-credentials Application Default Credentials},
     *     your project ID will be detected automatically.
     * @param {function} [options.promise] - Custom promise module to use instead
     *     of native Promises.
     * @param {string} [options.apiEndpoint] - The domain name of the
     *     API remote host.
     */
    constructor(opts) {
      opts = opts || {};
      this._descriptors = {};
  
      if (global.isBrowser) {
        // If we're in browser, we use gRPC fallback.
        opts.fallback = true;
      }
  
      // If we are in browser, we are already using fallback because of the
      // "browser" field in package.json.
      // But if we were explicitly requested to use fallback, let's do it now.
      const gaxModule = !global.isBrowser && opts.fallback ? gax.fallback : gax;
  
      const servicePath =
        opts.servicePath || opts.apiEndpoint || this.constructor.servicePath;
  
      // Ensure that options include the service address and port.
      opts = Object.assign(
        {
          clientConfig: {},
          port: this.constructor.port,
          servicePath,
        },
        opts
      );
  
      // Create a `gaxGrpc` object, with any grpc-specific options
      // sent to the client.
      opts.scopes = this.constructor.scopes;
      const gaxGrpc = new gaxModule.GrpcClient(opts);
  
      // Save the auth object to the client, for use by other methods.
      this.auth = gaxGrpc.auth;
  
      // Determine the client header string.
      const clientHeader = [];
  
      if (typeof process !== 'undefined' && 'versions' in process) {
        clientHeader.push(`gl-node/${process.versions.node}`);
      }
      clientHeader.push(`gax/${gaxModule.version}`);
      if (opts.fallback) {
        clientHeader.push(`gl-web/${gaxModule.version}`);
      } else {
        clientHeader.push(`grpc/${gaxGrpc.grpcVersion}`);
      }
      clientHeader.push(`gapic/${VERSION}`);
      if (opts.libName && opts.libVersion) {
        clientHeader.push(`${opts.libName}/${opts.libVersion}`);
      }
  
      // Load the applicable protos.
      // For Node.js, pass the path to JSON proto file.
      // For browsers, pass the JSON content.
  
      const nodejsProtoPath = path.join(
        __dirname,
        '..',
        '..',
        'protos',
        'protos.json'
      );
      const protos = gaxGrpc.loadProto(
        opts.fallback ? require('../../protos/protos.json') : nodejsProtoPath
      );
  
      const protoFilesRoot = opts.fallback
        ? gaxModule.protobuf.Root.fromJSON(require('../../protos/protos.json'))
        : gaxModule.protobuf.loadSync(nodejsProtoPath);
  
      // This API contains "long-running operations", which return a
      // an Operation object that allows for tracking of the operation,
      // rather than holding a request open.
      this.operationsClient = new gaxModule.lro({
        auth: gaxGrpc.auth,
        grpc: gaxGrpc.grpc,
      }).operationsClient(opts);
  
      const annotateVideoResponse = protoFilesRoot.lookup(
        'google.cloud.videointelligence.v1.AnnotateVideoResponse'
      );
      const annotateVideoMetadata = protoFilesRoot.lookup(
        'google.cloud.videointelligence.v1.AnnotateVideoProgress'
      );
  
      this._descriptors.longrunning = {
        annotateVideo: new gaxModule.LongrunningDescriptor(
          this.operationsClient,
          annotateVideoResponse.decode.bind(annotateVideoResponse),
          annotateVideoMetadata.decode.bind(annotateVideoMetadata)
        ),
      };
  
      // Put together the default options sent with requests.
      const defaults = gaxGrpc.constructSettings(
        'google.cloud.videointelligence.v1.VideoIntelligenceService',
        gapicConfig,
        opts.clientConfig,
        {'x-goog-api-client': clientHeader.join(' ')}
      );
  
      // Set up a dictionary of "inner API calls"; the core implementation
      // of calling the API is handled in `google-gax`, with this code
      // merely providing the destination and request information.
      this._innerApiCalls = {};
  
      // Put together the "service stub" for
      // google.cloud.videointelligence.v1.VideoIntelligenceService.
      const videoIntelligenceServiceStub = gaxGrpc.createStub(
        opts.fallback
          ? protos.lookupService(
              'google.cloud.videointelligence.v1.VideoIntelligenceService'
            )
          : protos.google.cloud.videointelligence.v1.VideoIntelligenceService,
        opts
      );
  
      // Iterate over each of the methods that the service provides
      // and create an API call method for each.
      const videoIntelligenceServiceStubMethods = ['annotateVideo'];
      for (const methodName of videoIntelligenceServiceStubMethods) {
        const innerCallPromise = videoIntelligenceServiceStub.then(
          stub => (...args) => {
            return stub[methodName].apply(stub, args);
          },
          err => () => {
            throw err;
          }
        );
        this._innerApiCalls[methodName] = gaxModule.createApiCall(
          innerCallPromise,
          defaults[methodName],
          this._descriptors.longrunning[methodName]
        );
      }
    }
  
    /**
     * The DNS address for this API service.
     */
    static get servicePath() {
      return 'videointelligence.googleapis.com';
    }
  
    /**
     * The DNS address for this API service - same as servicePath(),
     * exists for compatibility reasons.
     */
    static get apiEndpoint() {
      return 'videointelligence.googleapis.com';
    }
  
    /**
     * The port for this API service.
     */
    static get port() {
      return 443;
    }
  
    /**
     * The scopes needed to make gRPC calls for every method defined
     * in this service.
     */
    static get scopes() {
      return ['https://www.googleapis.com/auth/cloud-platform'];
    }
  
    /**
     * Return the project ID used by this class.
     * @param {function(Error, string)} callback - the callback to
     *   be called with the current project Id.
     */
    getProjectId(callback) {
      return this.auth.getProjectId(callback);
    }
  
    // -------------------
    // -- Service calls --
    // -------------------
  
    /**
     * Performs asynchronous video annotation. Progress and results can be
     * retrieved through the `google.longrunning.Operations` interface.
     * `Operation.metadata` contains `AnnotateVideoProgress` (progress).
     * `Operation.response` contains `AnnotateVideoResponse` (results).
     *
     * @param {Object} request
     *   The request object that will be sent.
     * @param {string} [request.inputUri]
     *   Input video location. Currently, only
     *   [Google Cloud Storage](https://cloud.google.com/storage/) URIs are
     *   supported, which must be specified in the following format:
     *   `gs://bucket-id/object-id` (other URI formats return
     *   google.rpc.Code.INVALID_ARGUMENT). For
     *   more information, see [Request URIs](https://cloud.google.com/storage/docs/reference-uris). A video
     *   URI may include wildcards in `object-id`, and thus identify multiple
     *   videos. Supported wildcards: '*' to match 0 or more characters;
     *   '?' to match 1 character. If unset, the input video should be embedded
     *   in the request as `input_content`. If set, `input_content` should be unset.
     * @param {Buffer} [request.inputContent]
     *   The video data bytes.
     *   If unset, the input video(s) should be specified via `input_uri`.
     *   If set, `input_uri` should be unset.
     * @param {number[]} [request.features]
     *   Requested video annotation features.
     *
     *   The number should be among the values of [Feature]{@link google.cloud.videointelligence.v1.Feature}
     * @param {Object} [request.videoContext]
     *   Additional video context and/or feature-specific parameters.
     *
     *   This object should have the same structure as [VideoContext]{@link google.cloud.videointelligence.v1.VideoContext}
     * @param {string} [request.outputUri]
     *   Optional location where the output (in JSON format) should be stored.
     *   Currently, only [Google Cloud Storage](https://cloud.google.com/storage/)
     *   URIs are supported, which must be specified in the following format:
     *   `gs://bucket-id/object-id` (other URI formats return
     *   google.rpc.Code.INVALID_ARGUMENT). For
     *   more information, see [Request URIs](https://cloud.google.com/storage/docs/reference-uris).
     * @param {string} [request.locationId]
     *   Optional cloud region where annotation should take place. Supported cloud
     *   regions: `us-east1`, `us-west1`, `europe-west1`, `asia-east1`. If no region
     *   is specified, a region will be determined based on video file location.
     * @param {Object} [options]
     *   Optional parameters. You can override the default settings for this call, e.g, timeout,
     *   retries, paginations, etc. See [gax.CallOptions]{@link https://googleapis.github.io/gax-nodejs/interfaces/CallOptions.html} for the details.
     * @param {function(?Error, ?Object)} [callback]
     *   The function which will be called with the result of the API call.
     *
     *   The second parameter to the callback is a [gax.Operation]{@link https://googleapis.github.io/gax-nodejs/classes/Operation.html} object.
     * @returns {Promise} - The promise which resolves to an array.
     *   The first element of the array is a [gax.Operation]{@link https://googleapis.github.io/gax-nodejs/classes/Operation.html} object.
     *   The promise has a method named "cancel" which cancels the ongoing API call.
     *
     * @example
     *
     * const videoIntelligence = require('@google-cloud/video-intelligence');
     *
     * const client = new videoIntelligence.v1.VideoIntelligenceServiceClient({
     *   // optional auth parameters.
     * });
     *
     * const inputUri = 'gs://cloud-samples-data/video/cat.mp4';
     * const featuresElement = 'LABEL_DETECTION';
     * const features = [featuresElement];
     * const request = {
     *   inputUri: inputUri,
     *   features: features,
     * };
     *
     * // Handle the operation using the promise pattern.
     * client.annotateVideo(request)
     *   .then(responses => {
     *     const [operation, initialApiResponse] = responses;
     *
     *     // Operation#promise starts polling for the completion of the LRO.
     *     return operation.promise();
     *   })
     *   .then(responses => {
     *     const result = responses[0];
     *     const metadata = responses[1];
     *     const finalApiResponse = responses[2];
     *   })
     *   .catch(err => {
     *     console.error(err);
     *   });
     *
     * const inputUri = 'gs://cloud-samples-data/video/cat.mp4';
     * const featuresElement = 'LABEL_DETECTION';
     * const features = [featuresElement];
     * const request = {
     *   inputUri: inputUri,
     *   features: features,
     * };
     *
     * // Handle the operation using the event emitter pattern.
     * client.annotateVideo(request)
     *   .then(responses => {
     *     const [operation, initialApiResponse] = responses;
     *
     *     // Adding a listener for the "complete" event starts polling for the
     *     // completion of the operation.
     *     operation.on('complete', (result, metadata, finalApiResponse) => {
     *       // doSomethingWith(result);
     *     });
     *
     *     // Adding a listener for the "progress" event causes the callback to be
     *     // called on any change in metadata when the operation is polled.
     *     operation.on('progress', (metadata, apiResponse) => {
     *       // doSomethingWith(metadata)
     *     });
     *
     *     // Adding a listener for the "error" event handles any errors found during polling.
     *     operation.on('error', err => {
     *       // throw(err);
     *     });
     *   })
     *   .catch(err => {
     *     console.error(err);
     *   });
     *
     * const inputUri = 'gs://cloud-samples-data/video/cat.mp4';
     * const featuresElement = 'LABEL_DETECTION';
     * const features = [featuresElement];
     * const request = {
     *   inputUri: inputUri,
     *   features: features,
     * };
     *
     * // Handle the operation using the await pattern.
     * const [operation] = await client.annotateVideo(request);
     *
     * const [response] = await operation.promise();
     */
    annotateVideo(request, options, callback) {
      if (options instanceof Function && callback === undefined) {
        callback = options;
        options = {};
      }
      request = request || {};
      options = options || {};
  
      return this._innerApiCalls.annotateVideo(request, options, callback);
    }
  }
  
  module.exports = VideoIntelligenceServiceClient;
  