@konfy/graphql-mongo-query v2.0.6

graphql-mongo-query

Parse GraphQL Input arguments to MongoDB query filters. For use in GraphQL resolvers.

What does it do?

This small package helps with converting GraphQL Input arguments to MongoDB filters, following a certain convention. It supports:

• logical queries ($or $and $nor,$not,$all)
• comparative queries ($ne $in $nin, $lt, $lte, $gt, $gte)
• Embedded object queries like: {"embedded.level1.level2": 10}

And combinations of the above.

Convention:

By default, this parser assumes a simple structural convention for writing your Input arguments, which resembles mongoDB query format as closely as possible:

1. write mongo keywords like so:

   _OR will parse to: $or

   _NIN will parse to: $nin etc.

2. Use nested objects for embedded queries, like so:

   { nested: { level1: { level2: { _NE: 10 } } } } will parse to: { 'nested.level1.level2': { $ne: 10 } }

Usage:

IMPORTANT:

Since version 2 this package is a pure function by default. If you want to use the deprecated class syntax, you can import it from graphql-mongo-query/class

version >= 2.0.0

import GQLMongoQuery from 'graphql-mongo-query'
// Example arguments:
const query = { _OR: [{ num: 10 }, { nested: {property: 'X'} }] }

const parser = GQLMongoQuery(<keywords?>, <resolvers?>, <merge?>)
const MongoFilters = parser(query)

// MongoFilters will equal to:
// {$or: [ { num: 10 }, { 'nested.property': 'X' } ]}

version < 2.0.0

import GQLMongoQuery from 'graphql-mongo-query/class'
// Example arguments:
const query = { _OR: [{ num: 10 }, { nested: {property: 'X'} }] }

const parser = new GQLMongoQuery(<keywords?>, <resolvers?>, <merge?>)
const MongoFilters = parser.buildFiltersquerys)

// MongoFilters will equal to:
// {$or: [ { num: 10 }, { 'nested.property': 'X' } ]}

Options:

graphql-mongo-query takes options to customize your keywords and special value entities. All options are optional. By default, they will be merged with defaults.

keywords (optional)

Maps the query keywords to mongo keywords. Every key in this object will be replaced by corresponding value.

// Defaults:
{
	// logical operators:
	_OR: '$or',
	_AND: '$and',
	_NOR: '$nor',
	// comparison operators:
	_ALL: '$all',
	_IN: '$in',
	_NIN: '$nin',
	_EQ: '$eq',
	_NE: '$ne',
	_LT: '$lt',
	_LTE: '$lte',
	_GT: '$gt',
	_GTE: '$gte',
	// geo queries operators:
	_GEO_INTERSECTS: '$geoIntersects',
	_GEO_WITHIN: '$geoWithin',
	_NEAR: '$near',
	// geo shapes operators:
	_GEOMETRY: '$geometry',
	_BOX: '$box',
	_POLYGON: '$polygon',
	_CENTER: '$center',
	_CENTER_SPHERE: '$centerSphere',
	_MAX_DISTANCE: '$maxDistance',
	_MIN_DISTANCE: '$minDistance'
}

resolvers (optional)

An object mapping specified query keys to custom resolver functions that will return a new key and value.

These resolver functions take parent object as the only parameter, and should return a value that will replace that parent. Parent object is a single single {key: value} pair.

The parser will iterate through a query, and when finding a key that matches, it will replace the entire {key: value} pair with the result of the resolver function.

// Examples:
const resolvers = {
	test1(parent) {
		return {test1: !!parent.test1}
	},
	'nested.a'() {
		return {['nested.a']: true}
	},
	'nested.b'(parent) {
		parent['nested.b'] = parent['nested.b'].n * parent['nested.b'].n
		return parent
	},
	'nested.date'(parent) {
		return { 'nested.date': new Date(parent['nested.date']) }
	},
	'nested.rename'(parent) {
		const newname = parent['nested.rename']
		delete parent['nested.rename']
		return {newname}
	}
}

merge (optional, default: true)

If set to true, keywords and resolvers from options will be merged with defaults. Otherwise they will overwrite the defaults.

Examples:

For examples checkout the tests

An example of a complex Input filter and it’s parsed value:

// resolvers option object
const resolvers = {
	dateField(parent) {
		parent.dateField = new Date(parent.dateField)
		return parent
	}
}

// query received from graphQL input:
const query = {
	_OR: [
		{ field1: { _NE: 'not me' } },
		{ field2: { _IN: ['A', 'B'] } }
	],
	nested: { level1: { level2: { _NE: 10 } } },
	dateField: '2020-02-20'
}

// Parsed filter:
const filter = GQLMongoQuery(null, resolvers)querys)
expect(filter).toEqual({
	$or: [
		{ field1: { $ne: 'not me' } },
		{ field2: { $in: ['A', 'B'] } }
	],
	'nested.level1.level2': { $ne: 10 },
	dateField: new Date('2020-02-20')
})