ImageRepositoryVideoPreviewsDebuggingInfo

AI Overview😉

  • The potential purpose of this module is to provide debugging information for image repository video previews. It seems to be tracking the processing time and engine used for video preview generation, possibly to identify bottlenecks or issues in the processing pipeline.
  • This module could impact search results by influencing the ranking of videos based on their preview generation efficiency. Videos with faster processing times or using more efficient engines might be favored in search results, as they provide a better user experience. Conversely, videos with slower processing times or using less efficient engines might be demoted.
  • To be more favorable for this function, a website could focus on optimizing their video preview generation process, such as:
    • Using more efficient video processing engines or libraries.
    • Improving server-side processing times and resource allocation.
    • Optimizing video formats and compression to reduce processing time.
    • Implementing caching or content delivery networks to reduce the load on video preview generation.

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GoogleApi.ContentWarehouse.V1.Model.ImageRepositoryVideoPreviewsDebuggingInfo (google_api_content_warehouse v0.4.0)

Attributes

  • lastAmarnaProcessingTime (type: DateTime.t, default: nil) - Last Amarna processing timestamp.
  • processingEngine (type: String.t, default: nil) - The underlying processing engine, like 'viper' or 'kronos'.

Summary

Types

t()

Functions

decode(value, options)

Unwrap a decoded JSON object into its complex fields.

Types

Link to this type

t()

@type t() ::
  %GoogleApi.ContentWarehouse.V1.Model.ImageRepositoryVideoPreviewsDebuggingInfo{
    lastAmarnaProcessingTime: DateTime.t() | nil,
    processingEngine: String.t() | nil
  }

Functions

Link to this function

decode(value, options)

@spec decode(struct(), keyword()) :: struct()

Unwrap a decoded JSON object into its complex fields.