Data Entity Details | Generated by Eircodex v1.0.0
Represents a suggested physical activity tailored to the user's context including preferences, location, weather, and available equipment.
9
0 required, 0 unique
3
Database performance indexes
2
Data integrity rules
4
Allowed CRUD operations
The Activity Suggestion entity is central to delivering personalized physical activity recommendations to children and youth, leveraging contextual data such as location, weather, and equipment availability. By tailoring suggestions to individual circumstances, it reduces barriers to physical activity, increases engagement, and supports public health goals. This entity enables the platform to provide relevant, safe, and motivating activity options, thereby driving increased usage and positive health outcomes among the target demographic.
Implementing the Activity Suggestion entity requires integration with multiple external services including weather-service, location-service, and equipment-availability-service to ensure accurate filtering and relevance. The entity must support CRUD operations primarily managed by the activity-suggestion-engine, with read access also provided to the activity-suggestion-wheel for UI rendering. Validation rules enforce data integrity and consistency. Storage is handled via the activity-data-repository, necessitating coordination with data storage teams. The complexity lies in ensuring seamless data flow and real-time responsiveness to contextual changes.
From a technical perspective, the Activity Suggestion entity is modeled as a document stored in the activity-data-repository, with attributes capturing all necessary metadata for filtering and presentation. Integration points include weather-service for dynamic weather conditions, location-service for geospatial context, and equipment-availability-service to verify resource availability. CRUD operations are exposed via the activity-suggestion-engine component, which enforces business rules such as filtering by weather and equipment. Validation rules ensure data correctness, and indexing on key attributes like activity_name and location_type optimizes query performance.
| Name | Type | Description | Constraints |
|---|---|---|---|
| id PK | string | Unique identifier for the activity suggestion. | PRIMARY KEY |
| activity_name | string | Name of the suggested activity. | - |
| description | string | Detailed description of the activity. | - |
| required_equipment | array | List of equipment IDs required for the activity. | - |
| location_type | string | Type of location suitable for the activity (e.g., indoor, outdoor). | - |
| weather_conditions | array | Weather conditions suitable for the activity. | - |
| age_group | string | Recommended age group for the activity. | - |
| difficulty_level | string | Difficulty level of the activity. | - |
| safety_instructions | string | Safety instructions related to the activity. | - |
Ensures the activity_type attribute is one of the predefined valid types
Ensures all required fields for an activity suggestion are present
Activity suggestions must be filtered and adapted based on user preferences
Activity suggestions must be adapted based on user's location and current weather conditions
Suggested activities must only include those with available equipment
All activity suggestions must be presented through the activity suggestion wheel component
Data component managing storage and retrieval of activity metadata, user preferences, historical activity data, and feedback related to activity suggestions. Supports CRUD operations and data validation.
Data service dedicated to managing user-specific preferences and settings related to activity suggestions, enabling personalized recommendation adjustments and feedback incorporation.
Infrastructure component that interfaces with equipment availability databases to determine which physical activity equipment is accessible to the user, influencing activity suggestion relevance.
Infrastructure component integrating with geolocation APIs to provide accurate user location data for context-aware activity suggestions. Handles API communication, data normalization, and error management.
Infrastructure component that connects to external weather APIs to obtain current and forecasted weather conditions, enabling the algorithm to adapt activity suggestions accordingly.
Core service implementing the algorithm that generates personalized activity suggestions based on user context including location, season, weather, equipment availability, and user preferences. It applies rule-based logic initially with extensibility for machine learning enhancements.
Visual interactive component displaying personalized activity suggestions as a dynamic wheel with images and descriptions. It allows users to spin or select activities tailored to their context, providing an engaging and intuitive interface for children and youth to explore physical activities.