npm package discovery and stats viewer.

Discover Tips

  • General search

    [free text search, go nuts!]

  • Package details

    pkg:[package-name]

  • User packages

    @[username]

Sponsor

Optimize Toolset

I’ve always been into building performant and accessible sites, but lately I’ve been taking it extremely seriously. So much so that I’ve been building a tool to help me optimize and monitor the sites that I build to make sure that I’m making an attempt to offer the best experience to those who visit them. If you’re into performant, accessible and SEO friendly sites, you might like it too! You can check it out at Optimize Toolset.

About

Hi, 👋, I’m Ryan Hefner  and I built this site for me, and you! The goal of this site was to provide an easy way for me to check the stats on my npm packages, both for prioritizing issues and updates, and to give me a little kick in the pants to keep up on stuff.

As I was building it, I realized that I was actually using the tool to build the tool, and figured I might as well put this out there and hopefully others will find it to be a fast and useful way to search and browse npm packages as I have.

If you’re interested in other things I’m working on, follow me on Twitter or check out the open source projects I’ve been publishing on GitHub.

I am also working on a Twitter bot for this site to tweet the most popular, newest, random packages from npm. Please follow that account now and it will start sending out packages soon–ish.

Open Software & Tools

This site wouldn’t be possible without the immense generosity and tireless efforts from the people who make contributions to the world and share their work via open source initiatives. Thank you 🙏

© 2024 – Pkg Stats / Ryan Hefner

odemongo

v2.0.0

Published

Odemongo is an ODM for MongoDB

Downloads

26

Readme

Odemongo

Odemongo is an ODM for MongoDB.
It allows you to work with multiple databases with a custom model.

Usage

1. Connect to MongoDB

Odemongo brings a you a class that you can use to connect to a DB. \

import { Database } from "odemongo"

const db = new Database(mongodb_url)

await db.connect()

2. Create your model

A model allows to you to interact with an especific database and an especific collection.
It also allows you to validate data with zod.
Just by passing a zod schema odemongo will validate it and in case of error it will return it.

import { Model } from "odemongo"

const YOUR_MODEL = new Model(db, zod_schema, collection_name)

3. Interact with your model

Now you can use all of the functions that Odemongo brings you with your model.
All the functions that receive data return an object with a result and an error and are asynchronous.
The find functions only return a result.
If there is a validation error the message will be in error and result will be null.
If validation is correct result will contain all the data and error will be false.
Options are all the default options that the MongoDB NodeJS driver has.

Model.find(query?, options?)

const { result } = await Model.find()

Result is an array

Model.findOne(query, options?)

const { result } = await Model.findOne({ name: "John Doe" })

Result is an object

Model.findById(id, options?)

const { result } = await Model.findById(id)

Id must be an string that is 24 characters long, Odemongo will turn it into an ObjectId.
Result is an object

Model.insert(object, options?)

const { result, error } = await Model.insert({ name: "John Doe" })

The object will be validated before inserting in the collection.
Result is the inserted object

Model.insertMany(array, options?)

const { result, error } = await Model.insertMany([{ name: "John doe" }])

The objects in the array will be validated before inserting them.
Result is the inserted array

Model.update(query, object, options?)

const { result, error } = await Model.update({ name: "John Doe" }, { name: "John Doe 2" })

The object will be partially validated, if the query doesn't match any object in the DB it will return null.
Result is the updated object

Model.updateById(id, object, options?)

const { result, error } = await Model.updateById(id, { name: "John Doe 2" })

Same as update but the query is now an object.
Result is the updated object

Model.delete(query, options?)

const { result, error } = await Model.delete({name: "John Doe"})

If query doesn't match any object result will be null.
Result is the deleted object.

Model.deleteById(id, options?)

const { result, error } = await Model.deleteById(id)

Same as delete but query is an id.
Result is the deleted object.

Schemas

Odemongo brings you some default zod schemas to work with specific data

import { schemas } from "odemongo"

ObjectIdSchema

import { z } from "zod"
import { schemas } from "odemongo"

const userSchema = z.object({
    name: z.string(),
    someId: schemas.ObjectIdSchema
})

This allows you to add custom ids to your schemas

Created by @ivanglzr