Sift.js - JavaScripting

filter arrays using mongodb queries
Filed under application tools › utilities

About
Repository

Installation: npm install sift, or yarn add sift

Sift is a tiny library for using MongoDB queries in Javascript

For extended documentation, checkout http://docs.mongodb.org/manual/reference/operator/query/

Features:

Supported operators: \$in, \$nin, \$exists, \$gte, \$gt, \$lte, \$lt, \$eq, \$ne, \$mod, \$all, \$and, \$or, \$nor, \$not, \$size, \$type, \$regex, \$where, \$elemMatch
Regexp searches
Supports node.js, and web
Custom Operations
Tree-shaking (omitting functionality from web app bundles)

Examples

import sift from "sift";

// intersecting arrays
const result1 = ["hello", "sifted", "array!"].filter(
  sift({ $in: ["hello", "world"] }),
); // ['hello']

// regexp filter
const result2 = ["craig", "john", "jake"].filter(sift(/^j/)); //['john','jake']

// function filter
const testFilter = sift({
  //you can also filter against functions
  name: function (value) {
    return value.length == 5;
  },
});

const result3 = [
  {
    name: "craig",
  },
  {
    name: "john",
  },
  {
    name: "jake",
  },
].filter(testFilter); // filtered: [{ name: 'craig' }]

// you can test *single values* against your custom sifter
testFilter({ name: "sarah" }); //true
testFilter({ name: "tim" }); //false

API

sift(query: MongoQuery, options?: Options): Function

Creates a filter with all the built-in MongoDB query operations.

query - the filter to use against the target array
options
- operations - custom operations
- compare - compares difference between two values

Example:

import sift from "sift";

const test = sift({ $gt: 5 });

console.log(test(6)); // true
console.log(test(4)); // false

[3, 4, 5, 6, 7].filter(test); // [6, 7]

createQueryTester(query: Query, options?: Options): Function

Creates a filter function without built-in MongoDB query operations. This is useful if you're looking to omit certain operations from application bundles. See Omitting built-in operations for more info.

import { createQueryTester, $eq, $in } from "sift";
const filter = createQueryTester({ $eq: 5 }, { operations: { $eq, $in } });

createEqualsOperation(params: any, ownerQuery: Query, options: Options): Operation

Used for custom operations.

import { createQueryTester, createEqualsOperation, $eq, $in } from "sift";
const filter = createQueryTester(
  { $mod: 5 },
  {
    operations: {
      $something(mod, ownerQuery, options) {
        return createEqualsOperation(
          (value) => value % mod === 0,
          ownerQuery,
          options,
        );
      },
    },
  },
);
filter(10); // true
filter(11); // false

Supported Operators

See MongoDB's advanced queries for more info.

\$in

array value must be \$in the given query:

Intersecting two arrays:

// filtered: ['Brazil']
["Brazil", "Haiti", "Peru", "Chile"].filter(
  sift({ $in: ["Costa Rica", "Brazil"] }),
);

Here's another example. This acts more like the \$or operator:

[{ name: "Craig", location: "Brazil" }].filter(
  sift({ location: { $in: ["Costa Rica", "Brazil"] } }),
);

\$nin

Opposite of \$in:

// filtered: ['Haiti','Peru','Chile']
["Brazil", "Haiti", "Peru", "Chile"].filter(
  sift({ $nin: ["Costa Rica", "Brazil"] }),
);

\$exists

Checks if whether a value exists:

// filtered: ['Craig','Tim']
sift({ $exists: true })(["Craig", null, "Tim"]);

You can also filter out values that don't exist

// filtered: [{ name: "Tim" }]
[{ name: "Craig", city: "Minneapolis" }, { name: "Tim" }].filter(
  sift({ city: { $exists: false } }),
);

\$gte

Checks if a number is >= value:

// filtered: [2, 3]
[0, 1, 2, 3].filter(sift({ $gte: 2 }));

\$gt

Checks if a number is > value:

// filtered: [3]
[0, 1, 2, 3].filter(sift({ $gt: 2 }));

\$lte

Checks if a number is <= value.

// filtered: [0, 1, 2]
[0, 1, 2, 3].filter(sift({ $lte: 2 }));

\$lt

Checks if number is < value.

// filtered: [0, 1]
[0, 1, 2, 3].filter(sift({ $lt: 2 }));

\$eq

Checks if query === value. Note that \$eq can be omitted. For \$eq, and \$ne

// filtered: [{ state: 'MN' }]
[{ state: "MN" }, { state: "CA" }, { state: "WI" }].filter(
  sift({ state: { $eq: "MN" } }),
);

Or:

// filtered: [{ state: 'MN' }]
[{ state: "MN" }, { state: "CA" }, { state: "WI" }].filter(
  sift({ state: "MN" }),
);

\$ne

Checks if query !== value.

// filtered: [{ state: 'CA' }, { state: 'WI'}]
[{ state: "MN" }, { state: "CA" }, { state: "WI" }].filter(
  sift({ state: { $ne: "MN" } }),
);

\$mod

Modulus:

// filtered: [300, 600]
[100, 200, 300, 400, 500, 600].filter(sift({ $mod: [3, 0] }));

\$all

values must match everything in array:

// filtered: [ { tags: ['books','programming','travel' ]} ]
[
  { tags: ["books", "programming", "travel"] },
  { tags: ["travel", "cooking"] },
].filter(sift({ tags: { $all: ["books", "programming"] } }));

\$and

ability to use an array of expressions. All expressions must test true.

// filtered: [ { name: 'Craig', state: 'MN' }]

[
  { name: "Craig", state: "MN" },
  { name: "Tim", state: "MN" },
  { name: "Joe", state: "CA" },
].filter(sift({ $and: [{ name: "Craig" }, { state: "MN" }] }));

\$or

OR array of expressions.

// filtered: [ { name: 'Craig', state: 'MN' }, { name: 'Tim', state: 'MN' }]
[
  { name: "Craig", state: "MN" },
  { name: "Tim", state: "MN" },
  { name: "Joe", state: "CA" },
].filter(sift({ $or: [{ name: "Craig" }, { state: "MN" }] }));

\$nor

opposite of or:

// filtered: [{ name: 'Joe', state: 'CA' }]
[
  { name: "Craig", state: "MN" },
  { name: "Tim", state: "MN" },
  { name: "Joe", state: "CA" },
].filter(sift({ $nor: [{ name: "Craig" }, { state: "MN" }] }));

\$size

Matches an array - must match given size:

// filtered: ['food','cooking']
[{ tags: ["food", "cooking"] }, { tags: ["traveling"] }].filter(
  sift({ tags: { $size: 2 } }),
);

\$type

Matches a values based on the type

[new Date(), 4342, "hello world"].filter(sift({ $type: Date })); // returns single date
[new Date(), 4342, "hello world"].filter(sift({ $type: String })); // returns ['hello world']

\$regex

Matches values based on the given regular expression

["frank", "fred", "sam", "frost"].filter(
  sift({ $regex: /^f/i, $nin: ["frank"] }),
); // ["fred", "frost"]
["frank", "fred", "sam", "frost"].filter(
  sift({ $regex: "^f", $options: "i", $nin: ["frank"] }),
); // ["fred", "frost"]

\$where

Matches based on some javascript comparison

[{ name: "frank" }, { name: "joe" }].filter(
  sift({ $where: "this.name === 'frank'" }),
); // ["frank"]
[{ name: "frank" }, { name: "joe" }].filter(
  sift({
    $where: function () {
      return this.name === "frank";
    },
  }),
); // ["frank"]

\$elemMatch

Matches elements of array

var bills = [
  {
    month: "july",
    casts: [
      {
        id: 1,
        value: 200,
      },
      {
        id: 2,
        value: 1000,
      },
    ],
  },
  {
    month: "august",
    casts: [
      {
        id: 3,
        value: 1000,
      },
      {
        id: 4,
        value: 4000,
      },
    ],
  },
];

var result = bills.filter(
  sift({
    casts: {
      $elemMatch: {
        value: { $gt: 1000 },
      },
    },
  }),
); // {month:'august', casts:[{id:3, value: 1000},{id: 4, value: 4000}]}

\$not

Not expression:

["craig", "tim", "jake"].filter(sift({ $not: { $in: ["craig", "tim"] } })); // ['jake']
["craig", "tim", "jake"].filter(sift({ $not: { $size: 5 } })); // ['tim','jake']

Date comparison

Mongodb allows you to do date comparisons like so:

db.collection.find({ createdAt: { $gte: "2018-03-22T06:00:00Z" } });

In Sift, you'll need to specify a Date object:

collection.find(
  sift({ createdAt: { $gte: new Date("2018-03-22T06:00:00Z") } }),
);

Custom behavior

Sift works like MongoDB out of the box, but you're also able to modify the behavior to suite your needs.

Custom operations

You can register your own custom operations. Here's an example:

import sift, { createEqualsOperation } from "sift";

var filter = sift(
  {
    $customMod: 2,
  },
  {
    operations: {
      $customMod(params, ownerQuery, options) {
        return createEqualsOperation(
          (value) => value % params !== 0,
          ownerQuery,
          options,
        );
      },
    },
  },
);

[1, 2, 3, 4, 5].filter(filter); // [1, 3, 5]

Omitting built-in operations

You can create a filter function that omits the built-in operations like so:

import { createQueryTester, $in, $all, $nin, $lt } from "sift";
const test = createQueryTester(
  {
    $eq: 10,
  },
  { operations: { $in, $all, $nin, $lt } },
);

[1, 2, 3, 4, 10].filter(test);

For bundlers like Webpack and Rollup, operations that aren't used are omitted from application bundles via tree-shaking.

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