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Lo JsonDB

Save your data in .json files and query it with create, delete, update and find. Thanks to lodash :)

Why?

Just for fun.
Thinking about performance, it's not very useful for large amounts of data.
But, jsondb don't need to install anything, and it's easy to start to use.
You can use to prototyping a project or to save a small data.

Getting started

Install:

npm install lo-jsondb --save

Collection:

var jsondb = require('lo-jsondb');
var pokemons = jsondb('pokemons', {pretty: true});

It will use a pokemons.json file to store data.
If file does not exist, it will be created.

You can create with deep path too, example:
jsondb('my/list/of/pokemons')

Also, you can pass .json directly, if you want for something reason:
jsondb('my/pokemons.json')

{pretty: true} means that file will be saved in readable json (with tabs)

Pretty shorthand:

var pokemons = jsondb.pretty('pokemons');  

Create:

pokemons.create({name: 'Rattata', types: ['normal']});

pokemons.create([
    {name: 'Pikachu', types: ['electric']},
    {name: 'Bulbasaur', types: ['grass', 'poison']}
]);

pokemons.create(function(){
    return {name: 'Exeggcute', types: ['grass', 'psychic']};
});

Don't care about IDS!
JsonDB uses auto incremention to generate ids, like mysql (1, 2, 3...);

Find:

var grassPokemons = pokemons.find({types: ['grass']});
console.log(grassPokemons);
// [ {name: 'Bulbasaur', types: ['grass', 'poison'], id: 3},
//   {name: 'Exeggcute', types: ['grass', 'psychic'] id: 4} ]

var normalPokemons = pokemons.find({types: ['normal']})
console.log(normalPokemons);
// [ {name: 'Rattata', ...} ]

var normalPokemon = pokemons.findOne({types: ['normal']})
console.log(normalPokemon);
// {name: 'Rattata', ...}

var byId = pokemons.findOne(2);
console.log(byId);
// {name: 'Pikachu', ...}

var byIds = pokemons.find([1, 2]);
console.log(byIds);
// [ {name: 'Rattata', ...},
//   {name: 'Pikachu', ...} ]

var byFunc = pokemons.find(function(pokemon){
    return pokemon.id == 1 || pokemon.name == 'Pikachu'
});
console.log(byFunc);
// [ {name: 'Rattata', ...},
//   {name: 'Pikachu', ...} ]

var last = pokemons.findLast();
console.log(last.name);
// Exeggcute

var lastGrass = pokemons.findLast({types: ['poison']});
console.log(lastGrass.name);
// Exeggcute

var first = pokemons.findFirst();
console.log(first.name);
// Rattata

var firstGrass = pokemons.findFirst({types: ['grass']});
console.log(firstGrass.name);
// Bulbasaur

.find() always return an array of documents. Even if it's an id.
.findOne() always return the document. If query match more than one, it will return the first only.
.findAll() is shorthand for collection.find({})
.findLast(query) is shorthand for _.last(collection.find(query))
.findFirst(query) is shorthand for _.first(collection.find(query))

You can find with Int (document id), Object (query) or a Function that return an id or query; Also, you can pass an Array with Objects (two or more queries), or array with Ids

Update:

pokemons.update({name: 'Pikachu'}, {name: 'Pika Pika', foo: 'bar'});
// -> {id: 2, name: 'Pika Pika', types: ['electric'], foo: 'bar'}

pokemons.update({name: 'Rattata'}, {foo: 'bar'}, true);
// -> {id: 2, foo: 'bar'}

pokemons.update({types: ['grass']}, {foo: 'bar'});
// -> {id: 3, name: 'Bulbasaur', types: ['grass', 'poison'], foo: 'bar'}
// -> {id: 4, name: 'Exeggcute', types: ['grass', 'psychic'], foo: 'bar'}

pokemons.update(1, {foo: 'bar'});
// -> {id: 1, name: 'Rattata', types: ['normal'], foo: 'bar'}

You can also query with functions and arrays:

pokemons.update(function(pokemon){
    return pokemon.name == 'Rattata' || pokemon.id == 2
}, {...});
// updates Rattata and Pikachu

pokemons.update([1, 2], {...});
// updates Rattata and Pikachu

pokemons.update([{name: 'Rattata'}, {name: 'Pikachu'}], {...});
// updates Rattata and Pikachu

Delete:

pokemons.delete(1); // Rattata
pokemons.delete([1, 2]); // Rattata and Pikachu
pokemons.delete({types: ['grass']}); // Bulbasaur and Exeggcute
pokemons.delete([{name: 'Rattata'}, {types: ['grass']}]); // Bulbasaur, Exeggcute and Rattata
pokemons.delete(function(pokemon){
    return pokemon.id == 2
}); // Pikachu

Save:

pokemons.save({id: 1, ...}); // update
pokemons.save({id: 1, ...}, true); // update identical
pokemons.save({...}); // create

.save() is a shorthand of create and update.
Will update if has id property in query, or create if not.
Accept second boolean argument for identical, in updates.

Others:

var people = jsondb('people');
people.create([
    {name: 'Foo'},
    {name: 'Renato'}
]);

// getLastInsertId
var lastid = people.getLastInsertId();
console.log(lastid); // 2

File Data:

The file is an object with a settings and data properties:
Empty collection:

{
    "settings": {
        "ai": 1
    },
    "data": []
}

With documents:

{
    "settings": {
        "ai": 4
    },
    "data": [
        {
            "id": 1,
            "name": "Rattata",
            "types": [
                "normal"
            ]
        },
        {
            "id": 2,
            "name": "Pikachu",
            "types": [
                "electric"
            ]
        },
        {
            "id": 3,
            "name": "Bulbasaur",
            "types": [
                "grass",
                "poison"
            ]
        },
        {
            "id": 4,
            "name": "Exeggcute",
            "types": [
                "grass",
                "psychic"
            ]
        }
    ]
}

Single Documents

With single documents, you can create/read json files without settings/data structure:

Example:

var jsondb = require('lo-jsondb');
var settings = jsondb('settings', {single: true, pretty: true});  

Shorthand:

var settings = jsondb.single.pretty('settings');

settings.json:

{}

*.js

settings.setProp('my.site.name', 'Pokemon');

settings.json:

{
    "my": {
        "site": {
            "name": "Pokemon"
        }
    }
}

*.js

var siteName = settings.getProp('my.site.name');
console.log(siteName); // -> Pokemon

Contributions:

Feel free to send pull requests.
If you add more features, please don't forget to add tests in test/test.js

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Small database based on local .json files

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