query-predicate
v1.1.1
Published
Query Predicate Generator using Mongo Query Language
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Query-Predicate
Re-write of underscore-query using ES6 and Ramda in an (extreme) point-free style.
This module exports a single createPredicate
function. This function takes
a mongo-like query and returns a predicate function. This function can then be
used with R.filter
or R.find
, etc.
The module parses a wide variety of mongo queries - please see the tests for examples.
Documentation will be added shortly, but in the meantime check the Documentation for the query operators for underscore-query
Why Point Free
This is an experiment in how much of a non-trivial program can be written in a
point-free manner. I wrote it partly to explore the ramda
api and partly
as a challenge.
Currently there are only 4 function declarations.
- 3 are needed to allow recursion. While I probably could re-write the functions to use a y-combinator, I've not yet got round to it. The place that the recursion is used would make those particular functions a lot harder to reason about
- 1 is needed to throw errors
I think when used well by people who are familiar with functional apis (such as
Ramda), the style is very expressive. At a simple level a procedural for loop
could be used for map
or filter
or reduce
. By using map
rather than
a for loop, the intent of my program is easier to understand.
Here is an example of the journey from procedural to point free
Simple Procedural
function fn(input) {
var output = []
for (i = 0; i < input.length; i++) {
output.push(input[i].key)
}
return output
}
Using Native Map
function fn(input) {
return input.map(function(item) {
return item.key
})
}
Using FP Style Map
function fn(input){
return map(function(item) {
return item.key
}, input)
}
Making Point free - part 1 (i.e. no arguments)
This works
var fn = R.map(function(item) {
return item.key
})
Making Point free - part 2 - Using R.prop
var fn = R.map(R.prop("key"))
Using R.pluck
var fn = R.pluck("key")
Where doesn't it work
Some functions become a lot more verbose and less clear. For example:
function $mod(value, attr){
return attr % value[0] === value[1]
}
becomes:
const $mod = R.converge(R.identical, [
R.converge(R.modulo, [R.nthArg(1), R.compose(R.head, R.nthArg(0))]),
R.compose(R.last, R.nthArg(0))
])