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validate objects & filter arrays with mongodb queries

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

Features:

Node.js Examples

import sift from "sift";

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

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

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

var result = [
  {
    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

Browser Examples

<html>
  <head>
    <script
      src="https://raw.github.com/crcn/sift.js/master/sift.min.js"
      type="text/javascript"
    ></script>
    <script type="text/javascript">
      //regexp filter
      var sifted = sift(/^j/, ["craig", "john", "jake"]); //['john','jake']
    </script>
  </head>
  <body></body>
</html>

API

.sift(query: MongoQuery, options?: SiftOptions): Function

  • query - the filter to use against the target array
  • options
    • select - value selector
    • expressions - custom expressions
    • compare - compares difference between two values
    • comparable

With an array:

["craig", null].filter(sift({ $exists: true })); //['craig']

Without an array, a sifter is returned:

var existsFilter = sift({ $exists: true });

existsFilter("craig"); //true
existsFilter(null); //false
["craig", null].filter(existsFilter); //['craig']

With a selector:

var omitNameFilter = sift({ $exists: true }, function(user) {
  return !!user.name;
});

[
  {
    name: "Craig"
  },
  {
    name: null
  }
].filter(omitNameFilter);

With your sifter, you can also test values:

siftExists(null); //false
siftExists("craig"); //true

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: 'Craig', city: 'Minneapolis' }]
[{ 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: 'Tim', state: 'MN' }, { 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']

MongoDB behavior differences

There are some cases where Sift behaves a bit differently than Mongodb.

Adding custom behavior

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

Expressions

Sift comes with expressions like $not, $eq, and others, but you can also add your own.

var filter = sift(
  {
    $customMod: 2
  },
  {
    expressions: {
      $customMod: function(query, value) {
        return query % value;
      }
    }
  }
);

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

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") } })
);

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