Service Design Specification - Object Design for leaderboardEntry

wechess-leaderboard-service documentation

Document Overview

This document outlines the object design for the leaderboardEntry model in our application. It includes details about the model’s attributes, relationships, and any specific validation or business logic that applies.

leaderboardEntry Data Object

Object Overview

Description: Holds global leaderboard standings for registered players. Rank, ELO, and season support. Excludes guests.

This object represents a core data structure within the service and acts as the blueprint for database interaction, API generation, and business logic enforcement. It is defined using the ObjectSettings pattern, which governs its behavior, access control, caching strategy, and integration points with other systems such as Stripe and Redis.

Core Configuration

Composite Indexes

The index also defines a conflict resolution strategy for duplicate key violations.

When a new record would violate this composite index, the following action will be taken:

On Duplicate: throwError

An error will be thrown, preventing the insertion of conflicting data.

Properties Schema

Property Type Required Description
userId ID Yes The registered user this leaderboard entry represents.
currentRank Integer Yes Current leaderboard rank (1=top). Lower is better.
eloRating Integer Yes Player's current ELO rating (copy from playerStats).
season String No Leaderboard season identifier (null for all-time/global, can be set for seasonal leaderboards as needed).
lastRankChangeAt Date No Timestamp of last rank change/leaderboard update.
username String No Display name for the player, publicly visible on leaderboard.

Default Values

Default values are automatically assigned to properties when a new object is created, if no value is provided in the request body. Since default values are applied on db level, they should be literal values, not expressions.If you want to use expressions, you can use transposed parameters in any business API to set default values dynamically.

Constant Properties

userId

Constant properties are defined to be immutable after creation, meaning they cannot be updated or changed once set. They are typically used for properties that should remain constant throughout the object’s lifecycle. A property is set to be constant if the Allow Update option is set to false.

Auto Update Properties

currentRank eloRating season lastRankChangeAt username

An update crud API created with the option Auto Params enabled will automatically update these properties with the provided values in the request body. If you want to update any property in your own business logic not by user input, you can set the Allow Auto Update option to false. These properties will be added to the update API’s body parameters and can be updated by the user if any value is provided in the request body.

Elastic Search Indexing

userId currentRank eloRating season lastRankChangeAt username

Properties that are indexed in Elastic Search will be searchable via the Elastic Search API. While all properties are stored in the elastic search index of the data object, only those marked for Elastic Search indexing will be available for search queries.

Database Indexing

userId currentRank eloRating

Properties that are indexed in the database will be optimized for query performance, allowing for faster data retrieval. Make a property indexed in the database if you want to use it frequently in query filters or sorting.

Unique Properties

userId

Unique properties are enforced to have distinct values across all instances of the data object, preventing duplicate entries. Note that a unique property is automatically indexed in the database so you will not need to set the Indexed in DB option.

Secondary Key Properties

userId

Secondary key properties are used to create an additional indexed identifiers for the data object, allowing for alternative access patterns. Different than normal indexed properties, secondary keys will act as primary keys and Mindbricks will provide automatic secondary key db utility functions to access the data object by the secondary key.

Relation Properties

userId

Mindbricks supports relations between data objects, allowing you to define how objects are linked together. You can define relations in the data object properties, which will be used to create foreign key constraints in the database. For complex joins operations, Mindbricks supportsa BFF pattern, where you can view dynamic and static views based on Elastic Search Indexes. Use db level relations for simple one-to-one or one-to-many relationships, and use BFF views for complex joins that require multiple data objects to be joined together.

The target object is a parent object, meaning that the relation is a one-to-many relationship from target to this object.

On Delete: Set Null Required: Yes