
- Complete NestJS TypeScript implementation with WebSocket support - Direct messaging (DM) and group chat functionality - End-to-end encryption with AES encryption and key pairs - Media file support (images, videos, audio, documents) up to 100MB - Push notifications with Firebase Cloud Messaging integration - Mention alerts and real-time typing indicators - User authentication with JWT and Passport - SQLite database with TypeORM entities and relationships - Comprehensive API documentation with Swagger/OpenAPI - File upload handling with secure access control - Online/offline status tracking and presence management - Message editing, deletion, and reply functionality - Notification management with automatic cleanup - Health check endpoint for monitoring - CORS configuration for cross-origin requests - Environment-based configuration management - Structured for Flutter SDK integration Features implemented: ✅ Real-time messaging with Socket.IO ✅ User registration and authentication ✅ Direct messages and group chats ✅ Media file uploads and management ✅ End-to-end encryption ✅ Push notifications ✅ Mention alerts ✅ Typing indicators ✅ Message read receipts ✅ Online status tracking ✅ File access control ✅ Comprehensive API documentation Ready for Flutter SDK development and production deployment.
JavaScript ObjectSchema Package
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Overview
A JavaScript object merge/validation utility where you can define a different merge and validation strategy for each key. This is helpful when you need to validate complex data structures and then merge them in a way that is more complex than Object.assign()
.
Installation
You can install using either npm:
npm install @humanwhocodes/object-schema
Or Yarn:
yarn add @humanwhocodes/object-schema
Usage
Use CommonJS to get access to the ObjectSchema
constructor:
const { ObjectSchema } = require("@humanwhocodes/object-schema");
const schema = new ObjectSchema({
// define a definition for the "downloads" key
downloads: {
required: true,
merge(value1, value2) {
return value1 + value2;
},
validate(value) {
if (typeof value !== "number") {
throw new Error("Expected downloads to be a number.");
}
}
},
// define a strategy for the "versions" key
version: {
required: true,
merge(value1, value2) {
return value1.concat(value2);
},
validate(value) {
if (!Array.isArray(value)) {
throw new Error("Expected versions to be an array.");
}
}
}
});
const record1 = {
downloads: 25,
versions: [
"v1.0.0",
"v1.1.0",
"v1.2.0"
]
};
const record2 = {
downloads: 125,
versions: [
"v2.0.0",
"v2.1.0",
"v3.0.0"
]
};
// make sure the records are valid
schema.validate(record1);
schema.validate(record2);
// merge together (schema.merge() accepts any number of objects)
const result = schema.merge(record1, record2);
// result looks like this:
const result = {
downloads: 75,
versions: [
"v1.0.0",
"v1.1.0",
"v1.2.0",
"v2.0.0",
"v2.1.0",
"v3.0.0"
]
};
Tips and Tricks
Named merge strategies
Instead of specifying a merge()
method, you can specify one of the following strings to use a default merge strategy:
"assign"
- useObject.assign()
to merge the two values into one object."overwrite"
- the second value always replaces the first."replace"
- the second value replaces the first if the second is notundefined
.
For example:
const schema = new ObjectSchema({
name: {
merge: "replace",
validate() {}
}
});
Named validation strategies
Instead of specifying a validate()
method, you can specify one of the following strings to use a default validation strategy:
"array"
- value must be an array."boolean"
- value must be a boolean."number"
- value must be a number."object"
- value must be an object."object?"
- value must be an object or null."string"
- value must be a string."string!"
- value must be a non-empty string.
For example:
const schema = new ObjectSchema({
name: {
merge: "replace",
validate: "string"
}
});
Subschemas
If you are defining a key that is, itself, an object, you can simplify the process by using a subschema. Instead of defining merge()
and validate()
, assign a schema
key that contains a schema definition, like this:
const schema = new ObjectSchema({
name: {
schema: {
first: {
merge: "replace",
validate: "string"
},
last: {
merge: "replace",
validate: "string"
}
}
}
});
schema.validate({
name: {
first: "n",
last: "z"
}
});
Remove Keys During Merge
If the merge strategy for a key returns undefined
, then the key will not appear in the final object. For example:
const schema = new ObjectSchema({
date: {
merge() {
return undefined;
},
validate(value) {
Date.parse(value); // throws an error when invalid
}
}
});
const object1 = { date: "5/5/2005" };
const object2 = { date: "6/6/2006" };
const result = schema.merge(object1, object2);
console.log("date" in result); // false
Requiring Another Key Be Present
If you'd like the presence of one key to require the presence of another key, you can use the requires
property to specify an array of other properties that any key requires. For example:
const schema = new ObjectSchema();
const schema = new ObjectSchema({
date: {
merge() {
return undefined;
},
validate(value) {
Date.parse(value); // throws an error when invalid
}
},
time: {
requires: ["date"],
merge(first, second) {
return second;
},
validate(value) {
// ...
}
}
});
// throws error: Key "time" requires keys "date"
schema.validate({
time: "13:45"
});
In this example, even though date
is an optional key, it is required to be present whenever time
is present.
License
BSD 3-Clause