A strongly typed, verbose implementation of Mongoose in Typescript.
- Strongly typed: prevents query mistakes at compile time.
- Verbose: use natural language to create queries.
- Flexible: create your own modifiers that fits your needs.
- Fast: use Mongoose as the engine.
const db = new MongoDB()
await db.connect('mongodb://127.0.0.1/my_database')
const users = await db.perform(
MongoDBQuery.withModel(userModel)
.modifier(FindMany.whereKeyEquals('emailVerified', true))
.modifier(Sort.ascendingBy('name'))
.modifier(Populate.properties(['friends']))
)
This package is distributed with npm.
# npm
npm install monkey-db
# yarn
yarn add monkey-db
See all query modifiers in the package documentation.
To perform a request, you'll need to instantiate a MongoDB
instance and connect it to your MongoDB database.
const db = new MongoDB()
await db.connect('mongodb://127.0.0.1/my_database')
Then, use the MongoDBQuery
with the model corresponding to the collection you want to query.
// Returns all the users
const users = await db.perform(
MongoDBQuery.withModel(userModel)
.modifier(FindMany.all())
)
Use query modifiers to add parameters to your query using the .modifier()
function. You can chain them, as many as you need, but note that query modifiers are order sensitive. That means you cannot start your query with a Sort
modifier. For more infos, see Creating query modifiers.
// Returns all the users sorted by names
const users = await db.perform(
MongoDBQuery.withModel(userModel)
.modifier(FindMany.all())
.modifier(Sort.ascendingBy('name'))
)
Monkey comes with a bunch of query modifiers, but you can easily create your to better fits your needs.
Query modifiers takes an input, and returns a new output. As an output, you usually want to return either a DBQuery
or a DBOperation
depending of your needs.
DBQuery
contains amongooseQuery
property that represents a MongoDB query such as finding, sorting or filtering.DBOperation
contains amongooseOperation
property that represents a MongoDB operation such as creating, updating or deleting.
Both of these types implements the Performable
interface so you can always retrieve the mongoose query you are working with.
export interface Performable<T> {
databaseQuery: MongooseQuery | MongooseOperation
}
Say you want to create a query that finds all your users with a emailVerified
property set to true. You query modifier will take as input your mongoose model, and will output a DBQuery
.
Declare the class
as the following:
export class FindVerifiedUsers<T extends Document> implement QueryModifier<Model<T>, DBQuery<T>> {}
T
is the generic type that represents your mongoose model.
Then implements the modifier()
method.
export class FindVerifiedUsers<T extends Document> implement QueryModifier<Model<T>, DBQuery<T>> {
public modifier(input: Model<T>): DBOperation<T> {
const query: MongooseQuery = input.find({ emailVerified: true })
return new DBQuery(query)
}
}
You can then use your query this way:
// Returns all the users with verified email
const verifiedUsers = await db.perform(
MongoDBQuery.withModel(userModel)
.modifier(new FindVerifiedUsers())
)
Say you want to create an operation that create a new user and set its property emailVerified
to true. You query modifier will take as input your mongoose model, and will output a DBQuery
.
Declare the class
as the following:
export class CreateVerifiedUser<T extends Document> implement QueryModifier<Model<T>, DBOperation<T>> {
public constructor(data: any) {}
}
T
is the generic type that represents your mongoose model.
Then implements the modifier()
method.
export class CreateVerifiedUser<T extends Document> implement QueryModifier<Model<T>, DBOperation<T>> {
public constructor(private readonly data: any) {}
public modifier(input: Model<T>): DBOperation<T> {
const operation: MongooseOperation = input.create({ ...this.data, emailVerified: true })
return new DBOperation(operation)
}
}
You can then use your operation this way:
// Returns the created user with a `emailVerified` property set to true
const users = await db.perform(
MongoDBQuery.withModel(userModel)
.modifier(new CreateVerifiedUser({ username: 'bpisano' }))
)
Work is still in progress and contributions to Monkey are open and highly appreciated. When creating new query modifiers, make sure that:
- It it verbose. Make use of natural language as much as possible. This makes this package easy to get started with.
- It is generic enough. Try not to implement very specific use case in this package. Remember, anyone can easily create their own query modifier that fits their needs.
- Implementing all the the operations and queries used by mongoose as query modifiers.
- Improving verbosity of filters. It would be nice to have something like:
FindMany.where(Property.named('username').equals('bpisano'))