Service Design Specification

linkedin-messaging-service documentation Version: 1.0.0

Scope

This document provides a structured architectural overview of the messaging microservice, detailing its configuration, data model, authorization logic, business rules, and API design. It has been automatically generated based on the service definition within Mindbricks, ensuring that the information reflects the source of truth used during code generation and deployment.

The document is intended to serve multiple audiences:

Note for Frontend Developers: While this document is valuable for understanding business logic and data interactions, please refer to the Service API Documentation for endpoint-level specifications and integration details.

Note for Backend Developers: Since the code for this service is automatically generated by Mindbricks, you typically won’t need to implement or modify it manually. However, this document is especially valuable when you’re building other services—whether within Mindbricks or externally—that need to interact with or depend on this service. It provides a clear reference to the service’s data contracts, business rules, and API structure, helping ensure compatibility and correct integration.

Messaging Service Settings

Handles direct, private 1:1 and group messaging between users, conversation management, and message history/storage…

Service Overview

This service is configured to listen for HTTP requests on port 3006, serving both the main API interface and default administrative endpoints.

The following routes are available by default:

The service uses a PostgreSQL database for data storage, with the database name set to linkedin-messaging-service.

This service is accessible via the following environment-specific URLs:

Authentication & Security

This service requires user authentication for access. It supports both JWT and RSA-based authentication mechanisms, ensuring secure user sessions and data integrity. If a crud route also is configured to require login, it will check a valid JWT token in the request query/header/bearer/cookie. If the token is valid, it will extract the user information from the token and make the fetched session data available in the request context.

Service Data Objects

The service uses a PostgreSQL database for data storage, with the database name set to linkedin-messaging-service.

Data deletion is managed using a soft delete strategy. Instead of removing records from the database, they are flagged as inactive by setting the isActive field to false.

Object Name Description Public Access
message Message posted within a conversation. Tracks content, sender, readBy, and deletedFor status per user. accessProtected
conversation Messaging thread among users supporting 1:1 and group. Tracks participants, group status, and last message time. accessProtected

message Data Object

Object Overview

Description: Message posted within a conversation. Tracks content, sender, readBy, and deletedFor status per user.

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: doInsert

The new record will be inserted without checking for duplicates. This means that the composite index is designed for search purposes only.

Properties Schema

Property Type Required Description
content Text Yes -
senderUserId ID Yes -
deletedFor ID No -
readBy ID No -
conversationId ID Yes -
sentAt Date No -

Array Properties

deletedFor readBy

Array properties can hold multiple values and are indicated by the [] suffix in their type. Avoid using arrays in properties that are used for relations, as they will not work correctly. Note that using connection objects instead of arrays is recommended for relations, as they provide better performance and flexibility.

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

senderUserId conversationId sentAt

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

content deletedFor readBy

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

content senderUserId conversationId sentAt

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

senderUserId conversationId sentAt

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.

Relation Properties

senderUserId deletedFor readBy conversationId

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

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: No

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: No

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

Filter Properties

senderUserId conversationId sentAt

Filter properties are used to define parameters that can be used in query filters, allowing for dynamic data retrieval based on user input or predefined criteria. These properties are automatically mapped as API parameters in the listing API’s that have “Auto Params” enabled.

conversation Data Object

Object Overview

Description: Messaging thread among users supporting 1:1 and group. Tracks participants, group status, and last message time.

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
isGroup Boolean Yes -
participantIds ID Yes -
lastMessageAt Date No -

Array Properties

participantIds

Array properties can hold multiple values and are indicated by the [] suffix in their type. Avoid using arrays in properties that are used for relations, as they will not work correctly. Note that using connection objects instead of arrays is recommended for relations, as they provide better performance and flexibility.

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.

Auto Update Properties

isGroup participantIds lastMessageAt

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

isGroup participantIds lastMessageAt

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

isGroup participantIds lastMessageAt

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.

Relation Properties

participantIds

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

Filter Properties

isGroup participantIds lastMessageAt

Filter properties are used to define parameters that can be used in query filters, allowing for dynamic data retrieval based on user input or predefined criteria. These properties are automatically mapped as API parameters in the listing API’s that have “Auto Params” enabled.

Business Logic

messaging has got 10 Business APIs to manage its internal and crud logic. For the details of each business API refer to its chapter.

Edge Controllers

helloWorld

Configuration:

REST Settings:

sendMail

Configuration:

REST Settings:

This document was generated from the service architecture definition and should be kept in sync with implementation changes.