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EasyFilter is a lightweight ☁️, just one dependency 🚢, minimal setup 😮, intuitive 😃 and powerful 💪 filter for all your filter needs.

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Noriller/easy-filter

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🎈 Welcome toEasyFilter! 👋

EasyFilter is a lightweight ☁️, just one dependency 🚢, minimal setup 😮, intuitive 😃 and powerful 💪 filter for all your filter needs.

It's as easy as this:

constfilter=EasyFilter(sourceArray)constfilteredResult=filter.search('your query')

The one dependency isEasyFilterParser that was part of this package before. 😉

Get Started

Use your choice of package manager

npm install @noriller/easy-filter
yarn add @noriller/easy-filter

Then import it with the syntax of your choice

importEasyFilterfrom'@noriller/easy-filter'
constEasyFilter=require('@noriller/easy-filter')

Finally, to actually use it

constfilter=EasyFilter(sourceArray)constfilteredResult=filter.search('your query')

That's it! 🧙‍♂️

Check out the sectionEasyFilter Operators to see all that you can pass to the filter, the real ✨magic✨ is there!

Magicliketurningthis:`search for something "this between quotes" and then here:"you search for this"`Intosomethingthatworksforsinglevalues,quotedvaluesandevenvaluesnestedinsidekeys.ANDMORE!

Really? That's it?

Ok. If you need more options, here's the full setup you can do using all options available:

constfilter=EasyFilter(sourceArray,{filterOptions:{dateFormat:'DD-MM-YYYY',normalize:true,indexing:true,limit:10,},tagAliases:{tag:['tag1','tag2','tag3'],}})constfilteredResult=filter.search('your query')

It's still that simple. 👨‍💻

All the options will be explained inEasyFilter Options.And most of them you can pass in thesearch 🔎 string when you need.

Inspirations and motivation

In corporate scenarios, sometimes we have too much information 😵. We make pages with endless columns and if we need to filter that data, we either use something generic likeObject.keys(object).join(' ').includes('string') or we have to make a custom search... for. each. table. 😫

Meanwhile I saw awesome (and probably custom solutions) in things we use everyday.

Check out the ones I was aiming for 🌟:

  • Github
  • Stackoverflow
  • Gmail/Google Search

In the latter, users can use their UI to create their queries while powerusers can just type that and much more.

I too needed to provide a way to users to filter the data and ended up settling at a simpler version of this project. Mostly because of all the solutions I was able to find were neither user or developer friendly. 😢

(Also a little rant:search,filter,matcher and the like are a nightmare to search for... too many hits and too little relevant results 😕)

This is what I'm trying to offer here: a powerful engine to make your queries. 😎👍

Then it's up to you to offer a UI for what makes sense for your data. And it's still intuitive for common users and powerful for powerusers.

Why should you use

Unless searching and filtering data IS your business... each table, each data source you need to filter based on any criteria could be another source of frustration. 👨‍🏭

While sometimes this can be easy asdataSource.filter(x => x.attribute === 'something'), usually it's more complicated than that.

And when you have to factor what the users might want at any given time, it can become a nightmare. 😫

And if you're seeing yourself here... then you probably should use it.

When should you use, or better yet, when you shouldn't use?

  • If something likeObject.keys(object).join(' ').includes('string') ordataSource.filter(x => x.attribute === 'something') is enough for your need, you probably wouldn't want to bother using it.

  • EasyFilter is not a fuzzy filter (at least not yet, who knows? 🤔), so if you're expecting clumsy typers searching your data... they might have a hard time.

  • EasyFilter also don't care about upper or lowercase and/or ordering of the words in your queries (again: at least not yet), so if that's important... I'm sorry? 🙇‍♂️

  • This one is a little relative: if you need maximum performance... well, test it out if it work for you! The more options you use and the more your data objects branches out on objects upon objects... the more time it needs to traverse everything. (And even then, I believe you can use it for prototyping and/or as a crutch while you make your own custom filter. Don't worry, I understand. 😉)

The trade off is clear: we give you a powerful engine that will return the data following what you're searched for, but it comes at a cost.

For your everyday use, you're probably fine and your users will love it. 😎

(As a side note, I would love to know how EasyFilter fare against any other solution you might try. ❤😍❤)

EasyFilter Operators

Most of this should be intuitive for most users... that's what I was aiming for after all. 🧐

OR query

Any word or operators are, primarily and lastly, treated asOR queries.

To be a match, the data needs only to match any of them to be returned.

OR Example:

filter.search('word1 word2 tag:value "quoted value"')

word1,word2,tag:value and"quoted value" each become separated entities and a match of any one of those will return.

AND query

Anything inside quotes (either double" or single') will be treated as one entity.

EasyFilter relies heavily on recursion and this one entity will be split into multiple entities, following those entities rules.

To be a match, the data must get a match from each subquery inside quotes.

AND Remarks

AnAND query can contain:OR,TAG and even nestedAND queries.

In case of nestedTAG andAND queries, the nested quote must not match the parent quote.

AND Example:

filter.search('"quoted value tag:value"')

quoted,value andtag:value first are anAND query and will match only if all of the subqueries match.

In this case, bothquoted andvalue becomeOR queries andtag:value becomesTAG query.

TAG query

TAG here is equivalent to anykey of a Javascript object.

TAG, likeAND queries, return subqueries where they target a slice of the object, namely thekey.

To be a match, the data must get a match from the subquery after theTAG.

TAG Remarks

ATAG query can contain:OR,AND and thenNULL andRANGE/DATE_RANGE queries.

TAG doesn't support nestedTAG queries. (As of now.)

Types of TAG queries with Examples:

TAG - Simple
filter.search('tag:value')

Just theTAG followed by a colon and thevalue.

value in this example will become anOR query.

TAG - OR
filter.search('tag:(value1 value2 value3)')

By using brackets, you can have anOR query with multiple values at once.

TAG - AND
filter.search('tag:"value1 value2 value3"')

By using quotes (single/double), you can have anAND query.

TAG - Null Values
filter.search('tag:null tag:nil tag:none tag:nothing')

By passing, alone, any of the words:NULL,NIL,NONE orNOTHING as the value of theTAG, it will match only if thekey doesn't exist in the object (or if the key isnull orundefined).

tag:(nothing), in contrast, will match only if thekey contains the string "nothing".

TAG - Chaining Tags
filter.search('tag.subTag.thirdTag:value')

You can chain tags together using a. (full stop/period).

This would be equivalent to nestedTAGs. (Nested tags aren't supported.)

TAG - Arrays
filter.search('tag.0:value tag2.*.subTag:value')

While the most common use case for EasyFilter would be, indeed, common objects (think JSON Objects with key/value pairs), arrays are supported.

The main difference is that thekey they use are numerical and ordered.

tag.0:value will search inside the "tag" key, then in the element "0" for the "value".

tag2.*.subTag:value will search inside the "tag2" key, then in ALL elements for the "subTag" and then for the "value".

So, if the position in the array matters, use the index. Otherwise, use* (asterisk) to search all elements in the array.

TAG - RANGE
filter.search('tag:range(0,5)')

By passing, alone, the operatorRANGE() you can pass one or two arguments that will filter based on the numbers.

RANGE can only be used insideTAG and withnumber values.

The first argument is the lower bound (-Infinity) and the second argument is the upper bound (Infinity).

Passing only one argument sets only the lower bound. To set only the upper bound, pass it empty:RANGE(,5).

TAG - DATE_RANGE
filter.search('tag:dateRange(2020-05-01, 2021-09-05)')

By passing, alone, the operatorDATERANGE() you can pass one or two arguments that will filter based on the dates.

DATERANGE can only be used insideTAG and withdate values.

The first argument is the lower bound (0000-01-01) and the second argument is the upper bound (9999-01-01).

Passing only one argument sets only the lower bound. To set only the upper bound, pass it empty:DATERANGE(,2021-09-05).

More on acceptedDate Formats inDate Format (Query), but you can use all the common formats likeDD/MM/YYYY,MM/DD/YYYY andYYYY/MM/DD as long as you pass it as anOPTION. If noDate Format is provided, the Javascript default implementation ofnew Date('your date string') will be used.

NOT query

By nesting any and multiple queries inside the syntaxNOT() you can invert those and it will NOT return anything that matches.

If there's a match in theNOT query, it won't return even if there's a match in other queries.

If your query contains onlyNOT queries, it will return everything that don't have a match.

When combining with other queries,NOT queries will filter out matches from those.

NOT Remarks

ANOT query can contain:OR,AND andTAG queries.

AllNOT are parsed at the same level, nesting it inside other queries will just remove them from the query.

NOT Example:

filter.search('not("quoted value tag:value")')

Any element withquoted,value andtag:value will not be returned.

EasyFilter Options

There's three types of options:

OPTION keyword

Using the syntaxOPTION() orOPTIONS() you can pass the following options inside your search string.

TheOPTION keyword is parsed first, it will be just removed if nested in other queries and anything else inside will be either parsed as an option or ignored.

DATEFORMAT (Query)

When passed as anOPTION,DateFormat will be used to parse the dates used inDATE_RANGE.

This way your users can use their locale date format in their query.

When usingDATE_RANGE, if noDateFormat is passed as an option the Javascript default implementation ofnew Date('your date string') will be used.

The formats can be:YYYY-MM-DD,DD-MM-YYYY andMM-DD-YYYY while the separators can be:-,.,, and/.

DateFormat Example
filter.search('tag:dateRange(30-12-2020,30-12-2022) option(dateFormat:DD.MM.YYYY)')
NORMALIZE

When theNORMALIZE option is used,EasyFilter will discard/ignore every and all diacritics when making comparisons. It's FALSE by default.

This means that withNORMALIZE:Crème brûlée is equal toCreme brulee.

EasyFilter uses thestring.normalize('NFD') javascript API to decompose the strings and then remove allCombining Diacritical Marks.

NORMALIZE uses aboolean flag, and when used inOPTIONS alone likeoption(normalize) it will assume the TRUE value, but you can explicitly use:normalize:true.

You can also usenormalize:false to disable asetup default normalization for a specific query.

INDEXING

When theINDEXING option is used,EasyFilter will use a numerical ranking system and if there's a match, it will return a copy of the element with an additional key_EasyFilterIndex that will have a "relevance score" that you can use to sort the results. It's FALSE by default.

INDEXING uses aboolean flag, and when used inOPTIONS alone likeoption(index) oroption(indexing) it will assume the TRUE value, but you can explicitly use:index:true.

You can also usenormalize:false to disable asetup default indexing for a specific query.

How it indexing works in EasyFilter

EasyFilter gives a number based on the types of queries and multiplies the results returned by nested queries.

  • OR = 1
  • AND = 3
  • TAG = 5
  • RANGE/DATE_RANGE/NULL = 10

This way, using more generic queries, those with the more specific parameters will have a higher indexing value.

LIMIT

When theLIMIT option is used,EasyFilter will return only theLIMIT number of results. It's Zero/FALSE by default.

LIMIT needs anumber value, when used inOPTIONS you need to also pass anumber value:option(limit:1).

You can also uselimit:0 to disable asetup default limit for a specific query.

Setup Options

In the setup you may pass:

Filter Options

The following options works the same way as if passing in the query:

By passing it in the setup, they will be used in everysearch.

DATEFORMAT (Setup)

When passed in theSetup,DateFormat will be used to parse the dates in yourSource Array.

If noDateFormat is passed in thesetup, the Javascript default implementation ofnew Date('your date string') will be used.

If that default implementation wouldn't work with yoursource array, then provide aDateFormat.

The formats can be:YYYY-MM-DD,DD-MM-YYYY andMM-DD-YYYY while the separators can be:-,.,, and/ (you can use the provided typing).

Tag Aliases

PassTAG Aliases in the setup to expose to users more friendly (or broader) terms that they can call your data usingTAG.

Tag Aliases should be a dictionary withkey/value pairs where thekey is what your users can use and thevalue is a array of strings that will refer to your actual data.

Ourdata sources might not always be the most user friendly, or something important might be nested where usersTag Aliases couldn't possibly know. This is where you useTag Aliases.

Aliases Examples
constfilter=EasyFilter(sourceArray,{tagAliases:{// if you want more friendly aliasesdata:['DT_0001X420'],name:['nm_first','nm_last'],// if the important data is nestedage:['person.info.age'],// if your users expect to find everything related to a wordaddress:['address','city','country','province','zip_code'],// and you have no idea which words they will search for// just create multiple aliases with the same tagscity:['address','city','country','province','zip_code'],country:['address','city','country','province','zip_code'],province:['address','city','country','province','zip_code'],zip:['address','city','country','province','zip_code'],location:['address','city','country','province','zip_code'],where:['address','city','country','province','zip_code'],position:['address','city','country','province','zip_code'],}})

What's next?

Here's something you can expect in the future:

  • New objective:EasyFilter will now become a trilogy! They will all share the same parser, so you will be able to filter values already buffered and values in your databases all the same, simple way.
    • This, which filter values in objects.
    • EasyFilter-SQL - That will create SQL queries.
    • EasyFilter-Mongo - That will create Mongo queries.
  • (TBD) Streams support ⚡: be it from an API or from a data source, data usually comes as a stream. If the Javascript Engine can handle streaming fine, why wait for it to buffer everything?

There's a problem or it could be better

Either if you're encountered a problem: 😢 or if you're have an idea to make it better: 🤩

Feel free to contribute, to open issues, bug reports or just to say hello! 🤜🤛

In case of bugs or errors, if possible, send an example of your data, of the query you're using and what you've expected.

Since it supports any kind of data or queries... who knows what can happen?

I do have one remark to say: It will probably err on the side of caution... maybe returning more than you might have expected and when using the negation query, filtering more than intended, so keep that in mind.

Work with me!

https://www.linkedin.com/in/noriller/

Hit me up at Discord!

https://discord.gg/XtNPk7HeCa

Or Donate:

That’s it! 👏

About

EasyFilter is a lightweight ☁️, just one dependency 🚢, minimal setup 😮, intuitive 😃 and powerful 💪 filter for all your filter needs.

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