Class v1.ContactCenterInsightsClient (3.8.0)

  /**
   * This snippet has been automatically generated and should be regarded as a code template only.
   * It will require modifications to work.
   * It may require correct/in-range values for request initialization.
   * TODO(developer): Uncomment these variables before running the sample.
   */
  /**
   *  Required. The parent resource to create analyses in.
   */
  // const parent = 'abc123'
  /**
   *  Required. Filter used to select the subset of conversations to analyze.
   */
  // const filter = 'abc123'
  /**
   *  Required. Percentage of selected conversation to analyze, between
   *  0, 100.
   */
  // const analysisPercentage = 1234
  /**
   *  To select the annotators to run and the phrase matchers to use
   *  (if any). If not specified, all annotators will be run.
   */
  // const annotatorSelector = {}

  // Imports the Contactcenterinsights library
  const {ContactCenterInsightsClient} = require('@google-cloud/contact-center-insights').v1;

  // Instantiates a client
  const contactcenterinsightsClient = new ContactCenterInsightsClient();

  async function callBulkAnalyzeConversations() {
    // Construct request
    const request = {
      parent,
      filter,
      analysisPercentage,
    };

    // Run request
    const [operation] = await contactcenterinsightsClient.bulkAnalyzeConversations(request);
    const [response] = await operation.promise();
    console.log(response);
  }

  callBulkAnalyzeConversations();

  /**
   * This snippet has been automatically generated and should be regarded as a code template only.
   * It will require modifications to work.
   * It may require correct/in-range values for request initialization.
   * TODO(developer): Uncomment these variables before running the sample.
   */
  /**
   *  Required. The parent resource to delete conversations from.
   *  Format:
   *  projects/{project}/locations/{location}
   */
  // const parent = 'abc123'
  /**
   *  Filter used to select the subset of conversations to delete.
   */
  // const filter = 'abc123'
  /**
   *  Maximum number of conversations to delete.
   */
  // const maxDeleteCount = 1234
  /**
   *  If set to true, all of this conversation's analyses will also be deleted.
   *  Otherwise, the request will only succeed if the conversation has no
   *  analyses.
   */
  // const force = true

  // Imports the Contactcenterinsights library
  const {ContactCenterInsightsClient} = require('@google-cloud/contact-center-insights').v1;

  // Instantiates a client
  const contactcenterinsightsClient = new ContactCenterInsightsClient();

  async function callBulkDeleteConversations() {
    // Construct request
    const request = {
      parent,
    };

    // Run request
    const [operation] = await contactcenterinsightsClient.bulkDeleteConversations(request);
    const [response] = await operation.promise();
    console.log(response);
  }

  callBulkDeleteConversations();

  /**
   * This snippet has been automatically generated and should be regarded as a code template only.
   * It will require modifications to work.
   * It may require correct/in-range values for request initialization.
   * TODO(developer): Uncomment these variables before running the sample.
   */
  /**
   *  A cloud storage bucket destination.
   */
  // const gcsDestination = {}
  /**
   *  Required. The parent resource for new feedback labels.
   */
  // const parent = 'abc123'
  /**
   *  Optional. A filter to reduce results to a specific subset. Supports
   *  disjunctions (OR) and conjunctions (AND).
   *  Supported fields:
   *  * `issue_model_id`
   *  * `qa_question_id`
   *  * `qa_scorecard_id`
   *  * `min_create_time`
   *  * `max_create_time`
   *  * `min_update_time`
   *  * `max_update_time`
   *  * `feedback_label_type`: QUALITY_AI, TOPIC_MODELING
   */
  // const filter = 'abc123'
  /**
   *  Optional. Limits the maximum number of feedback labels that will be
   *  downloaded. The first `N` feedback labels will be downloaded.
   */
  // const maxDownloadCount = 1234
  /**
   *  Optional. The type of feedback labels that will be downloaded.
   */
  // const feedbackLabelType = {}
  /**
   *  Optional. Filter parent conversations to download feedback labels for.
   *  When specified, the feedback labels will be downloaded for the
   *  conversations that match the filter.
   *  If `template_qa_scorecard_id` is set, all the conversations that match the
   *  filter will be paired with the questions under the scorecard for labeling.
   */
  // const conversationFilter = 'abc123'
  /**
   *  Optional. If set, a template for labeling conversations and scorecard
   *  questions will be created from the conversation_filter and the questions
   *  under the scorecard(s). The feedback label `filter` will be ignored.
   */
  // const templateQaScorecardId = ['abc','def']

  // Imports the Contactcenterinsights library
  const {ContactCenterInsightsClient} = require('@google-cloud/contact-center-insights').v1;

  // Instantiates a client
  const contactcenterinsightsClient = new ContactCenterInsightsClient();

  async function callBulkDownloadFeedbackLabels() {
    // Construct request
    const request = {
      parent,
    };

    // Run request
    const [operation] = await contactcenterinsightsClient.bulkDownloadFeedbackLabels(request);
    const [response] = await operation.promise();
    console.log(response);
  }

  callBulkDownloadFeedbackLabels();

  /**
   * This snippet has been automatically generated and should be regarded as a code template only.
   * It will require modifications to work.
   * It may require correct/in-range values for request initialization.
   * TODO(developer): Uncomment these variables before running the sample.
   */
  /**
   *  A cloud storage bucket source.
   */
  // const gcsSource = {}
  /**
   *  Required. The parent resource for new feedback labels.
   */
  // const parent = 'abc123'
  /**
   *  Optional. If set, upload will not happen and the labels will be validated.
   *  If not set, then default behavior will be to upload the labels after
   *  validation is complete.
   */
  // const validateOnly = true

  // Imports the Contactcenterinsights library
  const {ContactCenterInsightsClient} = require('@google-cloud/contact-center-insights').v1;

  // Instantiates a client
  const contactcenterinsightsClient = new ContactCenterInsightsClient();

  async function callBulkUploadFeedbackLabels() {
    // Construct request
    const request = {
      parent,
    };

    // Run request
    const [operation] = await contactcenterinsightsClient.bulkUploadFeedbackLabels(request);
    const [response] = await operation.promise();
    console.log(response);
  }

  callBulkUploadFeedbackLabels();

  /**
   * This snippet has been automatically generated and should be regarded as a code template only.
   * It will require modifications to work.
   * It may require correct/in-range values for request initialization.
   * TODO(developer): Uncomment these variables before running the sample.
   */
  /**
   *  Required. The resource name of the issue model to query against.
   */
  // const issueModel = 'abc123'

  // Imports the Contactcenterinsights library
  const {ContactCenterInsightsClient} = require('@google-cloud/contact-center-insights').v1;

  // Instantiates a client
  const contactcenterinsightsClient = new ContactCenterInsightsClient();

  async function callCalculateIssueModelStats() {
    // Construct request
    const request = {
      issueModel,
    };

    // Run request
    const response = await contactcenterinsightsClient.calculateIssueModelStats(request);
    console.log(response);
  }

  callCalculateIssueModelStats();

  /**
   * This snippet has been automatically generated and should be regarded as a code template only.
   * It will require modifications to work.
   * It may require correct/in-range values for request initialization.
   * TODO(developer): Uncomment these variables before running the sample.
   */
  /**
   *  Required. The location of the conversations.
   */
  // const location = 'abc123'
  /**
   *  A filter to reduce results to a specific subset. This field is useful for
   *  getting statistics about conversations with specific properties.
   */
  // const filter = 'abc123'

  // Imports the Contactcenterinsights library
  const {ContactCenterInsightsClient} = require('@google-cloud/contact-center-insights').v1;

  // Instantiates a client
  const contactcenterinsightsClient = new ContactCenterInsightsClient();

  async function callCalculateStats() {
    // Construct request
    const request = {
      location,
    };

    // Run request
    const response = await contactcenterinsightsClient.calculateStats(request);
    console.log(response);
  }

  callCalculateStats();

const client = longrunning.operationsClient();
await client.cancelOperation({name: ''});

  /**
   * This snippet has been automatically generated and should be regarded as a code template only.
   * It will require modifications to work.
   * It may require correct/in-range values for request initialization.
   * TODO(developer): Uncomment these variables before running the sample.
   */
  /**
   *  Required. The parent resource to create analyses in.
   */
  // const parent = 'abc123'
  /**
   *  Required. Filter used to select the subset of conversations to analyze.
   */
  // const filter = 'abc123'
  /**
   *  Required. Percentage of selected conversation to analyze, between
   *  0, 100.
   */
  // const analysisPercentage = 1234
  /**
   *  To select the annotators to run and the phrase matchers to use
   *  (if any). If not specified, all annotators will be run.
   */
  // const annotatorSelector = {}

  // Imports the Contactcenterinsights library
  const {ContactCenterInsightsClient} = require('@google-cloud/contact-center-insights').v1;

  // Instantiates a client
  const contactcenterinsightsClient = new ContactCenterInsightsClient();

  async function callBulkAnalyzeConversations() {
    // Construct request
    const request = {
      parent,
      filter,
      analysisPercentage,
    };

    // Run request
    const [operation] = await contactcenterinsightsClient.bulkAnalyzeConversations(request);
    const [response] = await operation.promise();
    console.log(response);
  }

  callBulkAnalyzeConversations();

  /**
   * This snippet has been automatically generated and should be regarded as a code template only.
   * It will require modifications to work.
   * It may require correct/in-range values for request initialization.
   * TODO(developer): Uncomment these variables before running the sample.
   */
  /**
   *  Required. The parent resource to delete conversations from.
   *  Format:
   *  projects/{project}/locations/{location}
   */
  // const parent = 'abc123'
  /**
   *  Filter used to select the subset of conversations to delete.
   */
  // const filter = 'abc123'
  /**
   *  Maximum number of conversations to delete.
   */
  // const maxDeleteCount = 1234
  /**
   *  If set to true, all of this conversation's analyses will also be deleted.
   *  Otherwise, the request will only succeed if the conversation has no
   *  analyses.
   */
  // const force = true

  // Imports the Contactcenterinsights library
  const {ContactCenterInsightsClient} = require('@google-cloud/contact-center-insights').v1;

  // Instantiates a client
  const contactcenterinsightsClient = new ContactCenterInsightsClient();

  async function callBulkDeleteConversations() {
    // Construct request
    const request = {
      parent,
    };

    // Run request
    const [operation] = await contactcenterinsightsClient.bulkDeleteConversations(request);
    const [response] = await operation.promise();
    console.log(response);
  }

  callBulkDeleteConversations();

  /**
   * This snippet has been automatically generated and should be regarded as a code template only.
   * It will require modifications to work.
   * It may require correct/in-range values for request initialization.
   * TODO(developer): Uncomment these variables before running the sample.
   */
  /**
   *  A cloud storage bucket destination.
   */
  // const gcsDestination = {}
  /**
   *  Required. The parent resource for new feedback labels.
   */
  // const parent = 'abc123'
  /**
   *  Optional. A filter to reduce results to a specific subset. Supports
   *  disjunctions (OR) and conjunctions (AND).
   *  Supported fields:
   *  * `issue_model_id`
   *  * `qa_question_id`
   *  * `qa_scorecard_id`
   *  * `min_create_time`
   *  * `max_create_time`
   *  * `min_update_time`
   *  * `max_update_time`
   *  * `feedback_label_type`: QUALITY_AI, TOPIC_MODELING
   */
  // const filter = 'abc123'
  /**
   *  Optional. Limits the maximum number of feedback labels that will be
   *  downloaded. The first `N` feedback labels will be downloaded.
   */
  // const maxDownloadCount = 1234
  /**
   *  Optional. The type of feedback labels that will be downloaded.
   */
  // const feedbackLabelType = {}
  /**
   *  Optional. Filter parent conversations to download feedback labels for.
   *  When specified, the feedback labels will be downloaded for the
   *  conversations that match the filter.
   *  If `template_qa_scorecard_id` is set, all the conversations that match the
   *  filter will be paired with the questions under the scorecard for labeling.
   */
  // const conversationFilter = 'abc123'
  /**
   *  Optional. If set, a template for labeling conversations and scorecard
   *  questions will be created from the conversation_filter and the questions
   *  under the scorecard(s). The feedback label `filter` will be ignored.
   */
  // const templateQaScorecardId = ['abc','def']

  // Imports the Contactcenterinsights library
  const {ContactCenterInsightsClient} = require('@google-cloud/contact-center-insights').v1;

  // Instantiates a client
  const contactcenterinsightsClient = new ContactCenterInsightsClient();

  async function callBulkDownloadFeedbackLabels() {
    // Construct request
    const request = {
      parent,
    };

    // Run request
    const [operation] = await contactcenterinsightsClient.bulkDownloadFeedbackLabels(request);
    const [response] = await operation.promise();
    console.log(response);
  }

  callBulkDownloadFeedbackLabels();

  /**
   * This snippet has been automatically generated and should be regarded as a code template only.
   * It will require modifications to work.
   * It may require correct/in-range values for request initialization.
   * TODO(developer): Uncomment these variables before running the sample.
   */
  /**
   *  A cloud storage bucket source.
   */
  // const gcsSource = {}
  /**
   *  Required. The parent resource for new feedback labels.
   */
  // const parent = 'abc123'
  /**
   *  Optional. If set, upload will not happen and the labels will be validated.
   *  If not set, then default behavior will be to upload the labels after
   *  validation is complete.
   */
  // const validateOnly = true

  // Imports the Contactcenterinsights library
  const {ContactCenterInsightsClient} = require('@google-cloud/contact-center-insights').v1;

  // Instantiates a client
  const contactcenterinsightsClient = new ContactCenterInsightsClient();

  async function callBulkUploadFeedbackLabels() {
    // Construct request
    const request = {
      parent,
    };

    // Run request
    const [operation] = await contactcenterinsightsClient.bulkUploadFeedbackLabels(request);
    const [response] = await operation.promise();
    console.log(response);
  }

  callBulkUploadFeedbackLabels();

  /**
   * This snippet has been automatically generated and should be regarded as a code template only.
   * It will require modifications to work.
   * It may require correct/in-range values for request initialization.
   * TODO(developer): Uncomment these variables before running the sample.
   */
  /**
   *  Required. The parent resource of the analysis.
   */
  // const parent = 'abc123'
  /**
   *  Required. The analysis to create.
   */
  // const analysis = {}

  // Imports the Contactcenterinsights library
  const {ContactCenterInsightsClient} = require('@google-cloud/contact-center-insights').v1;

  // Instantiates a client
  const contactcenterinsightsClient = new ContactCenterInsightsClient();

  async function callCreateAnalysis() {
    // Construct request
    const request = {
      parent,
      analysis,
    };

    // Run request
    const [operation] = await contactcenterinsightsClient.createAnalysis(request);
    const [response] = await operation.promise();
    console.log(response);
  }

  callCreateAnalysis();

  /**
   * This snippet has been automatically generated and should be regarded as a code template only.
   * It will require modifications to work.
   * It may require correct/in-range values for request initialization.
   * TODO(developer): Uncomment these variables before running the sample.
   */
  /**
   *  Required. The parent resource of the issue model.
   */
  // const parent = 'abc123'
  /**
   *  Required. The issue model to create.
   */
  // const issueModel = {}

  // Imports the Contactcenterinsights library
  const {ContactCenterInsightsClient} = require('@google-cloud/contact-center-insights').v1;

  // Instantiates a client
  const contactcenterinsightsClient = new ContactCenterInsightsClient();

  async function callCreateIssueModel() {
    // Construct request
    const request = {
      parent,
      issueModel,
    };

    // Run request
    const [operation] = await contactcenterinsightsClient.createIssueModel(request);
    const [response] = await operation.promise();
    console.log(response);
  }

  callCreateIssueModel();

  /**
   * This snippet has been automatically generated and should be regarded as a code template only.
   * It will require modifications to work.
   * It may require correct/in-range values for request initialization.
   * TODO(developer): Uncomment these variables before running the sample.
   */
  /**
   *  Required. The name of the issue model to delete.
   */
  // const name = 'abc123'

  // Imports the Contactcenterinsights library
  const {ContactCenterInsightsClient} = require('@google-cloud/contact-center-insights').v1;

  // Instantiates a client
  const contactcenterinsightsClient = new ContactCenterInsightsClient();

  async function callDeleteIssueModel() {
    // Construct request
    const request = {
      name,
    };

    // Run request
    const [operation] = await contactcenterinsightsClient.deleteIssueModel(request);
    const [response] = await operation.promise();
    console.log(response);
  }

  callDeleteIssueModel();

  /**
   * This snippet has been automatically generated and should be regarded as a code template only.
   * It will require modifications to work.
   * It may require correct/in-range values for request initialization.
   * TODO(developer): Uncomment these variables before running the sample.
   */
  /**
   *  Required. The issue model to deploy.
   */
  // const name = 'abc123'

  // Imports the Contactcenterinsights library
  const {ContactCenterInsightsClient} = require('@google-cloud/contact-center-insights').v1;

  // Instantiates a client
  const contactcenterinsightsClient = new ContactCenterInsightsClient();

  async function callDeployIssueModel() {
    // Construct request
    const request = {
      name,
    };

    // Run request
    const [operation] = await contactcenterinsightsClient.deployIssueModel(request);
    const [response] = await operation.promise();
    console.log(response);
  }

  callDeployIssueModel();

  /**
   * This snippet has been automatically generated and should be regarded as a code template only.
   * It will require modifications to work.
   * It may require correct/in-range values for request initialization.
   * TODO(developer): Uncomment these variables before running the sample.
   */
  /**
   *  Specified if sink is a BigQuery table.
   */
  // const bigQueryDestination = {}
  /**
   *  Required. The parent resource to export data from.
   */
  // const parent = 'abc123'
  /**
   *  A filter to reduce results to a specific subset. Useful for exporting
   *  conversations with specific properties.
   */
  // const filter = 'abc123'
  /**
   *  A fully qualified KMS key name for BigQuery tables protected by CMEK.
   *  Format:
   *  projects/{project}/locations/{location}/keyRings/{keyring}/cryptoKeys/{key}/cryptoKeyVersions/{version}
   */
  // const kmsKey = 'abc123'
  /**
   *  Options for what to do if the destination table already exists.
   */
  // const writeDisposition = {}

  // Imports the Contactcenterinsights library
  const {ContactCenterInsightsClient} = require('@google-cloud/contact-center-insights').v1;

  // Instantiates a client
  const contactcenterinsightsClient = new ContactCenterInsightsClient();

  async function callExportInsightsData() {
    // Construct request
    const request = {
      parent,
    };

    // Run request
    const [operation] = await contactcenterinsightsClient.exportInsightsData(request);
    const [response] = await operation.promise();
    console.log(response);
  }

  callExportInsightsData();

  /**
   * This snippet has been automatically generated and should be regarded as a code template only.
   * It will require modifications to work.
   * It may require correct/in-range values for request initialization.
   * TODO(developer): Uncomment these variables before running the sample.
   */
  /**
   *  Google Cloud Storage URI to export the issue model to.
   */
  // const gcsDestination = {}
  /**
   *  Required. The issue model to export.
   */
  // const name = 'abc123'

  // Imports the Contactcenterinsights library
  const {ContactCenterInsightsClient} = require('@google-cloud/contact-center-insights').v1;

  // Instantiates a client
  const contactcenterinsightsClient = new ContactCenterInsightsClient();

  async function callExportIssueModel() {
    // Construct request
    const request = {
      name,
    };

    // Run request
    const [operation] = await contactcenterinsightsClient.exportIssueModel(request);
    const [response] = await operation.promise();
    console.log(response);
  }

  callExportIssueModel();

  /**
   * This snippet has been automatically generated and should be regarded as a code template only.
   * It will require modifications to work.
   * It may require correct/in-range values for request initialization.
   * TODO(developer): Uncomment these variables before running the sample.
   */
  /**
   *  Google Cloud Storage source message.
   */
  // const gcsSource = {}
  /**
   *  Required. The parent resource of the issue model.
   */
  // const parent = 'abc123'
  /**
   *  Optional. If set to true, will create an issue model from the imported file
   *  with randomly generated IDs for the issue model and corresponding issues.
   *  Otherwise, replaces an existing model with the same ID as the file.
   */
  // const createNewModel = true

  // Imports the Contactcenterinsights library
  const {ContactCenterInsightsClient} = require('@google-cloud/contact-center-insights').v1;

  // Instantiates a client
  const contactcenterinsightsClient = new ContactCenterInsightsClient();

  async function callImportIssueModel() {
    // Construct request
    const request = {
      parent,
    };

    // Run request
    const [operation] = await contactcenterinsightsClient.importIssueModel(request);
    const [response] = await operation.promise();
    console.log(response);
  }

  callImportIssueModel();

  /**
   * This snippet has been automatically generated and should be regarded as a code template only.
   * It will require modifications to work.
   * It may require correct/in-range values for request initialization.
   * TODO(developer): Uncomment these variables before running the sample.
   */
  /**
   *  A cloud storage bucket source. Note that any previously ingested objects
   *  from the source will be skipped to avoid duplication.
   */
  // const gcsSource = {}
  /**
   *  Configuration for when `source` contains conversation transcripts.
   */
  // const transcriptObjectConfig = {}
  /**
   *  Required. The parent resource for new conversations.
   */
  // const parent = 'abc123'
  /**
   *  Configuration that applies to all conversations.
   */
  // const conversationConfig = {}
  /**
   *  Optional. DLP settings for transcript redaction. Optional, will default to
   *  the config specified in Settings.
   */
  // const redactionConfig = {}
  /**
   *  Optional. Default Speech-to-Text configuration. Optional, will default to
   *  the config specified in Settings.
   */
  // const speechConfig = {}
  /**
   *  Optional. If set, this fields indicates the number of objects to ingest
   *  from the Cloud Storage bucket. If empty, the entire bucket will be
   *  ingested. Unless they are first deleted, conversations produced through
   *  sampling won't be ingested by subsequent ingest requests.
   */
  // const sampleSize = 1234

  // Imports the Contactcenterinsights library
  const {ContactCenterInsightsClient} = require('@google-cloud/contact-center-insights').v1;

  // Instantiates a client
  const contactcenterinsightsClient = new ContactCenterInsightsClient();

  async function callIngestConversations() {
    // Construct request
    const request = {
      parent,
    };

    // Run request
    const [operation] = await contactcenterinsightsClient.ingestConversations(request);
    const [response] = await operation.promise();
    console.log(response);
  }

  callIngestConversations();

  /**
   * This snippet has been automatically generated and should be regarded as a code template only.
   * It will require modifications to work.
   * It may require correct/in-range values for request initialization.
   * TODO(developer): Uncomment these variables before running the sample.
   */
  /**
   *  Required. The encryption spec used for CMEK encryption. It is required that
   *  the kms key is in the same region as the endpoint. The same key will be
   *  used for all provisioned resources, if encryption is available. If the
   *  `kms_key_name` field is left empty, no encryption will be enforced.
   */
  // const encryptionSpec = {}

  // Imports the Contactcenterinsights library
  const {ContactCenterInsightsClient} = require('@google-cloud/contact-center-insights').v1;

  // Instantiates a client
  const contactcenterinsightsClient = new ContactCenterInsightsClient();

  async function callInitializeEncryptionSpec() {
    // Construct request
    const request = {
      encryptionSpec,
    };

    // Run request
    const [operation] = await contactcenterinsightsClient.initializeEncryptionSpec(request);
    const [response] = await operation.promise();
    console.log(response);
  }

  callInitializeEncryptionSpec();

  /**
   * This snippet has been automatically generated and should be regarded as a code template only.
   * It will require modifications to work.
   * It may require correct/in-range values for request initialization.
   * TODO(developer): Uncomment these variables before running the sample.
   */
  /**
   *  Required. The location of the data.
   *  "projects/{project}/locations/{location}"
   */
  // const location = 'abc123'
  /**
   *  Required. Filter to select a subset of conversations to compute the
   *  metrics. Must specify a window of the conversation create time to compute
   *  the metrics. The returned metrics will be from the range DATE(starting
   *  create time), DATE(ending create time)).
   */
  // const filter = 'abc123'
  /**
   *  The time granularity of each data point in the time series.
   *  Defaults to NONE if this field is unspecified.
   */
  // const timeGranularity = {}
  /**
   *  The dimensions that determine the grouping key for the query. Defaults to
   *  no dimension if this field is unspecified. If a dimension is specified,
   *  its key must also be specified. Each dimension's key must be unique.
   *  If a time granularity is also specified, metric values in the dimension
   *  will be bucketed by this granularity.
   *  Up to one dimension is supported for now.
   */
  // const dimensions = [1,2,3,4]
  /**
   *  Measures to return. Defaults to all measures if this field is unspecified.
   *  A valid mask should traverse from the `measure` field from the response.
   *  For example, a path from a measure mask to get the conversation count is
   *  "conversation_measure.count".
   */
  // const measureMask = {}

  // Imports the Contactcenterinsights library
  const {ContactCenterInsightsClient} = require('@google-cloud/contact-center-insights').v1;

  // Instantiates a client
  const contactcenterinsightsClient = new ContactCenterInsightsClient();

  async function callQueryMetrics() {
    // Construct request
    const request = {
      location,
      filter,
    };

    // Run request
    const [operation] = await contactcenterinsightsClient.queryMetrics(request);
    const [response] = await operation.promise();
    console.log(response);
  }

  callQueryMetrics();

  /**
   * This snippet has been automatically generated and should be regarded as a code template only.
   * It will require modifications to work.
   * It may require correct/in-range values for request initialization.
   * TODO(developer): Uncomment these variables before running the sample.
   */
  /**
   *  Required. The parent resource for new fine tuning job instance.
   */
  // const parent = 'abc123'
  /**
   *  Required. Filter for selecting the feedback labels that needs to be
   *  used for training.
   *  This filter can be used to limit the feedback labels used for tuning to a
   *  feedback labels created or updated for a specific time-window etc.
   */
  // const filter = 'abc123'
  /**
   *  Optional. Run in validate only mode, no fine tuning will actually run.
   *  Data quality validations like training data distributions will run.
   *  Even when set to false, the data quality validations will still run but
   *  once the validations complete we will proceed with the fine tune, if
   *  applicable.
   */
  // const validateOnly = true

  // Imports the Contactcenterinsights library
  const {ContactCenterInsightsClient} = require('@google-cloud/contact-center-insights').v1;

  // Instantiates a client
  const contactcenterinsightsClient = new ContactCenterInsightsClient();

  async function callTuneQaScorecardRevision() {
    // Construct request
    const request = {
      parent,
      filter,
    };

    // Run request
    const [operation] = await contactcenterinsightsClient.tuneQaScorecardRevision(request);
    const [response] = await operation.promise();
    console.log(response);
  }

  callTuneQaScorecardRevision();

  /**
   * This snippet has been automatically generated and should be regarded as a code template only.
   * It will require modifications to work.
   * It may require correct/in-range values for request initialization.
   * TODO(developer): Uncomment these variables before running the sample.
   */
  /**
   *  Required. The issue model to undeploy.
   */
  // const name = 'abc123'

  // Imports the Contactcenterinsights library
  const {ContactCenterInsightsClient} = require('@google-cloud/contact-center-insights').v1;

  // Instantiates a client
  const contactcenterinsightsClient = new ContactCenterInsightsClient();

  async function callUndeployIssueModel() {
    // Construct request
    const request = {
      name,
    };

    // Run request
    const [operation] = await contactcenterinsightsClient.undeployIssueModel(request);
    const [response] = await operation.promise();
    console.log(response);
  }

  callUndeployIssueModel();