Machine Overview

• Machine Name : Generic Events
• Title : Generic Events
• Short Description :
  The Generic Events Machine utilizes PredictHQ to discover events based on a saved hotel location. It fetches event data by leveraging latitude, longitude, and location ID, helping users stay informed about local happenings within a specified date range.
• Detail Description : The Generic Events Machine is designed to retrieve and process event information for a hotel’s vicinity. Using PredictHQ’s API, it fetches relevant events by utilizing stored location details, including latitude, longitude, and location ID. The machine sends a request payload containing the start date, end date, authentication token, and saved location ID to retrieve event data. This system ensures that hotels can provide guests with real-time event updates, allowing them to plan their activities effectively. From concerts and exhibitions to local festivals, the machine enhances guest experience by integrating seamlessly with event discovery.
• Machine Document : Download

Classification

• Industry : Hotels
• Category : General
• Sub Category : -

Compatibility and Dependencies

• Dependent Machines : -
• Compatible Machines : -
• Version : 1.0.2

Specifications

• Input Specification : Download

  Retrieves events within a specified date range and location by using an authorization token to securely access event data.

  • Start Date (Date): The start of the date range for which events should be retrieved.
  • End Date (Date): The end of the date range for which events should be retrieved.
  • Authorization Token (String): A valid token used to authorize access to event data.
  • Saved Location Id (String): The unique identifier of the location for which events need to be fetched.
• Output Specification : Download

  Provides a structured payload of event data containing key attributes such as metadata, ranking scores, estimated attendance, scheduling information, geolocation coordinates, and classification details. This data is intended for use in downstream systems for further analysis, processing, or decision-making within the workflow.

  • Event Id (String): A unique identifier for the event.
  • Title (String): The name or title of the event.
  • Description (String): A short or extended textual description of the event. May be empty if not provided.
  • Category (String): The event's primary category (e.g., music, sports, arts).
  • Labels (String): Comma-separated keywords or tags associated with the event.
  • Rank (Integer): A global relevance score representing the event's importance or popularity.
  • Local Rank (Integer): A location-specific relevance score indicating the event’s importance within its local context.
  • PHQ Attendance (Float): Estimated number of attendees based on predictive modeling.
  • Type (String): Type or format of the event (e.g., virtual, in-person). May be empty if not specified.
  • Start Date (Datetime): Event start date and time in UTC.
  • End Date (Datetime): Event end date and time in UTC.
  • Updated (Datetime): Timestamp of the most recent update to the event data.
  • Timezone (String): IANA timezone string representing the event’s local time zone.
  • Geo Lat (Float): Latitude coordinate of the event’s location.
  • Geo Long (Float): Longitude coordinate of the event’s location.
  • Place Hierarchies (String): A comma-separated list of location identifiers that describe the geographic hierarchy (e.g., city, state, country).
  • State (String): The current status of the event (e.g., active, cancelled).
  • Private (Boolean): Indicates whether the event is private (true) or publicly accessible (false).

Infrastructure Requirement

• OS Requirement : Linux
• CPU : 500m
• Cloud : AWS
• RAM : 512Mi

Usage Stats

• Total OnBoarded : -
• Active OnBoarding : -