inquiry-monad

Inquiry

Inquiry is an expressive API that allows one ask multiple questions about a subject value, and observe all results. This process returns a collection of all passes, fails, and the original subject value.

It is most useful for validating data against any number of expectations, especially if you would like to fully understand why something does not validate, or handle cases of partial validation.

Inquiry's style is much like a unit test, which should look familar, but you may not be used to seeing it outside of unit test files.

Basic examples

const { Inquiry, Pass, Fail, Questionset } = require('inquiry-monad');
 
const studentData = {
    name: 'Jake Myers',
    age: 15,
    grades: {
        math: 76,
        physics: 44
    },
    reprimands: []
};
 
const myQuestionset = Questionset.of([
    [
        'student name is present?',
        x => (x.name ? Pass('Name has been entered') : Fail('Name not entered'))
    ],
    [
        'student passed math?',
        x =>
            x.grades && x.grades.math > 49
                ? Pass('Passed math course')
                : Fail('Failed math course')
    ],
    [
        'student passed biology?',
        x =>
            x.grades && x.grades.biology > 49
                ? Pass('Passed biology course')
                : Fail('Failed biology course')
    ],
    [
        'student has reprimands?',
        x =>
            x.reprimands.length > 0
                ? Fail('student has reprimands')
                : Pass('student has no reprimands')
    ]
]);
 
const result = Inquiry.subject(subjectData)
    .using(myQuestionset)
    .inquireAll()
    .join();
 
console.log(result);
 
// (questionset & receipt have been abbreviated below)
// result: {subject: {name: "Jake Myers", age: 15, grades: {…}, reprimands: Array(0)}, pass: Pass(['Name has been entered', 'Passed math course', 'student has no reprimands']), fail: Fail(['Failed biology course']), iou: IOU([]), questionset: Questionset(...), receipt: Receipt(...)}

Get started

npm install inquiry-monad

Example Demos

Here are some basic demonstrations of the Inquiry API in use. These projects are using Glitch so you may remix the code and play with the API on your own.

• Birds Around Me - reads a user's GPS position, and retrieves birds reported to eBird via eBird API. Inquiry is used to then answer a series of questions about the data.
• Inquiry Weather Example - reads the current weather forecast from Environment Canada for various places and answers some questions about results.

Inquiry initial types

There are two initial types of Inquiry:

• Inquiry (syncronous-only)
• InquiryP (supports Promises)

Inquiry result types

There are three result types used in Inquiry:

• Pass: a positive result
• Fail: a negative result
• IOU: a result to be determined later (relevant to InquiryP types only)

Each of these result types is a monad, and come with built-in methods for handling and exposing their data without mutating the values. See "Monad methods" below for details on how to handle results within these types.

Inquiry subject type

The subject uses Maybe to contain the value after you have provided it, which can result in one of two types of values:

• Just: a non-null, non-undefined value
• Nothing: an undefined or null value

These are also monads, see "Monad methods" below for details on how to handle these types.

Use

Note that unless otherwise stated in this document, Inquiry and InquiryP are interchangeable, and mostly share the same API.

Inquiry can take any subject and test it against any number of Question or Questionset functions via the .inquire or .inquireAll method. All Question functions must return Pass or Fail values, or the results of another Inquiry.

The result of an Inquiry is a collection containing a list of result types for Fail, Pass, IOU, and Receipt, in addition to the original subject and any assigned Questionset collections.

Comparing to Either or Validation

For those from a background in functional programming who might wish to compare to a conventional Either (Left/Right) monad or Validation (Failure/Success) applicative functor, here are some advantages brought by using Inquiry API:

• Inquiry aggregates all results, and does not eliminate positive results when a negative one is acquired
• Inquiry can run functions against both Pass and Fail lists
• Inquiry always retains the original subject rather than transforming it
• Inquiry is designed to be an expressive, easily understood API, to be learned with little or no previous functional programming experience requirement
• While Inquiry is opinionated and has many "Fail-first" methods, additional methods are provided that allow for a differently-opinionated usage if desired

Question, Questionset & Receipt

Questionset

Questionset is an API for providing inquire functions that are not unlike the API used in testing suites like Mocha or Chai, except that this implementation is designed to be used in non-software-testing contexts.

This allows you to write Inquiry calls with descriptive and expressive language that can be very clear about what questions are being asked about the subject data.

const myQuestionset = Questionset.of([
    [
        'does it start with a capital letter?',
        a =>
            /^[A-Z]/.test(a)
                ? Pass('starts with a capital')
                : Fail('does not start with a capital')
    ],
    [
        'are there more than ten words?',
        a =>
            a.split(' ').length > 10
                ? Pass('more than ten words')
                : Fail('ten words or less')
    ],
    [
        /^are there any line breaks\?$/,
        a =>
            /\r|\n/.exec(a)
                ? Pass('there were line breaks')
                : Fail('no line breaks')
    ]
]);
 
// instead of `.inquireAll()` you may opt in, one-by-one using the given string
const results = Inquiry.subject('A short sentence.')
    .using(myQuestionset)
    .inquire('does it start with a capital letter?')
    .inquire('are there more than ten words?')
    // the below call will be skipped since no function has this identifier, and will throw a console.warning()
    // this is a lot like calling a software test that doesn't have assertion code yet, it'll warn you, but not break functionality
    .inquire('does it start with an indefinite article?')
    .inquire('are there any line breaks?');

You may also use .inquireAll() to ask all questions in the questionset.

Question

Another API you can use is Question. This works much like Questionset, but with one question at a time.

const subject = {
    flagged: true,
    score: 15,
    started: 1530293458
};
 
const notFlagged = Question.of([
    'is it not flagged?',
    x => (!x.flagged ? Pass('was not flagged') : Fail('was flagged'))
]);
 
const passingScore = Question.of([
    'is the score higher than 10?',
    x =>
        x.score > 10
            ? Pass('Score higher than 10')
            : Fail('Score not higher than 10')
]);
 
const results = InquiryP.subject(subject)
    .inquire(notFlagged)
    .inquire(passingScore);

Note that the descriptive string (e.g., 'is the score higher than 10?') in this case is used for .informant and .receipt output, as well as documentation purposes.

Receipt

This property of Inquiry keeps track of all questions and results in a similar format to Questions:

// take the above example...
 
const results = InquiryP.subject(subject)
    .inquire(notFlagged)
    .inquire(passingScore);
 
console.log(results.join().receipt.inspect());
// > Receipt(['is it not flagged?', Fail(was flagged)], ['is the score higher than 10?', Pass(score higher than 10)])

Inquiry Constructors

Inquiry.subject(value)

Returns a new Inquiry monad, which contains an object with properties subject, pass, fail, iou, questionset, receipt, and a single method, informant.

• subject: the value that was passed to Inquiry.subject. This value is contained within a Maybe monad, meaning it will either be Just(value) or Nothing().
• pass: a Pass monad, containing an array of values
• fail: a Fail monad, containing an array of values
• iou: an IOU monad, containing an array of Promises (only relevant with InquiryP)
• questionset: monad, containing an array of functions used to "question" the subject data
• receipt: monad, containing an array of results from each question
• informant: a function to be called upon the return of a .inquire call, for observation/logging purposes (is set by calling .informant method)

InquiryP.subject(value)

Same as the above, however it returns a monad called InquiryP which enables function f in .inquire(f) to return a Promise. This also means that all unwrap methods will be returning a Promise.

Inquiry.of(inquiry)

Using the Inquiry object structure, you may also assemble your own Inquiry monad "manually" with Inquiry.of though this is usually only necessary if using more standard functional programming methods such as .chain and .ap.

If you do not match the object strucutre, this constructor will fall back on converting the parameter into the subject and will emit a console warning.

Inquiry methods

Core methods

.inquire(f)

Pass inquire a Question, a string that references a Question within an attached Questionset.

When another Inquiry is returned back, the Pass and Fail lists are concatenated into the parent Inquiry Pass and Fail lists. Inquiry can not have child-Inquiries that are async based, but InquiryP can have syncronous child-Inquiries.

const isMoreThanOne = Question.of([
    'is it greater than 1?',
    x =>
        x > 1 ? Pass('Is greater than 1') : Fail('Is less than or equal to 1')
]);
 
const result = Inquiry.subject(5)
    .inquire(isMoreThanOne)
    .join();
 
console.log(result);
// > {subject: Just(5), pass: Pass(['Is greater than 1']), fail: Fail([]), iou: IOU([]), informant: _ => _, questionset: Questionset(...), receipt: Receipt(...)};

.inquireMap(f, i)

Map version of .inquire. Pass function f that can curry both i and subject, and collect Pass, Fail, IOU from the results.

This can be useful to prevent sprawling .inquire chains.

Function f must be curried. See example:

const planets = [
    'Mercury',
    'Venus',
    'Earth',
    'Mars',
    'Jupiter',
    'Saturn',
    'Uranus',
    'Neptune'
];
 
// needs to be a function returning a Question
const startsWith = word =>
    Question.of([
        'does the word start with the provided letter?',
        checks => (word.startsWith(checks.letter) ? Pass(word) : Fail(word))
    ]);
 
Inquiry.subject({ letter: 'M' })
    .inquireMap(startsWith, planets)
    .suffice(pass => {
        console.log(pass.join());
    });
 
// > ["Mercury", "Mars"]

.inquireAll()

Run all questions in the questionset already provided via .using().

.informant(f)

Call function f upon each inquire result. Useful for logging or observing. The function will be passed an array containing ['fnName', Pass('passed value')] or ['fnName', Fail('failed value')].

For InquiryP, it is not run when the IOU is added, however does run upon resolution of the IOU.

const isMoreThanOne = Question.of([
    'is it greater than 1?',
    x =>
        x > 1 ? Pass('Is greater than 1') : Fail('Is less than or equal to 1')
]);
 
const isMoreThanTen = Question.of([
    'is it greater than 10?',
    x =>
        x > 10
            ? Pass('Is greater than 10')
            : Fail('Is less than or equal to 10')
]);
 
Inquiry.subject(5)
    .informant(console.log)
    .inquire(isMoreThanOne)
    .inquire(isMoreThanTen);
 
// console.log would output as each function resolves:
// > 'isMoreThanOne', Pass('Is greater than 1')
// > 'isMoreThanTen', Fail('Is less than or equal to 10')

.inspect()

Return a string with the values contained in the Inquiry. This is a common functional programming concept mainly intended for use in debugging and software testing.

const isMoreThanOne = Question.of([
    'is it greater than 1?',
    x =>
        x > 1 ? Pass('Is greater than 1') : Fail('Is less than or equal to 1')
]);
 
const result = Inquiry.subject(5)
    .inquire(isMoreThanOne)
    .inspect(); // outputs to string
 
console.log(result);
// > Inquiry({subject: Just(5), pass: Pass(['Is greater than 1']), fail: Fail([]), iou: IOU([]), informant: _ => _, questionset: Questionset(...), receipt: Receipt(...)});

.using(Questionset)

Given a Questionset, use these questions in inquire and inquireMap if using the string-based inquire method.

Unwrap methods:

The following methods are to be used as a means of "exiting" the Inquiry process chain.

InquiryP unwrap methods exit into a Promise.

.join() (only useful for Inquiry)

Returns the contained Inquiry object value, without any additional handling.

This is most basic way of returning the values collected by Inquiry.

Warning: this can be, but should not be, used with InquiryP as it will not ensure Promises have resolved before returning the value. These unresolved Promises will be contained in the IOU list.

const isMoreThanOne = Question.of([
    'is it greater than 1?',
    x =>
        x > 1 ? Pass('Is greater than 1') : Fail('Is less than or equal to 1')
]);
 
const isMoreThanTen = Question.of([
    'is it greater than 10?',
    x =>
        x > 10
            ? Pass('Is greater than 10')
            : Fail('Is less than or equal to 10')
]);
 
const results = Inquiry.subject(5)
    .inquire(isMoreThanOne)
    .inquire(isMoreThanTen)
    .join();
 
console.log(results);
// > {subject: Just(5), pass: Pass(['Is greater than 1']), fail: Fail(['Is less than or equal to 10']), iou: IOU([]), informant: _ => _, questionset: Questionset(...), receipt: Receipt(...)};

.chain(f)

Passes the contained Inquiry object value into a function f. (You may optionally continue the Inquiry chain by having function f return Inquiry.of(value) as long as it adheres to the object structure.)

This is useful when you want to convert an Inquiry process chain into a Promise, or another monad.

Warning: In the case of InquiryP, you will want to use await first before using chain (see below), though that requires you to convert into a Promise.

const myQuestionset = Questionset.of([
    [
        'is it greater than 1?',
        x =>
            x > 1
                ? Pass('Is greater than 1')
                : Fail('Is less than or equal to 1')
    ],
    [
        'is it greater than 10?',
        x =>
            x > 10
                ? Pass('Is greater than 10')
                : Fail('Is less than or equal to 10')
    ]
]);
 
Inquiry.subject(5)
    .using(myQuestionset)
    .inquireAll()
    .chain(Promise.resolve)
    .then(console.log); // now we're a Promise
 
// > {subject: Just(5), pass: Pass(['Is greater than 1']), fail: Fail(['Is less than or equal to 10']), iou: IOU([]), informant: _ => _, questionset: Questionset(...), receipt: Receipt(...)};

.conclude(f, g)

Returns the contained Inquiry object value, with map functions f and g applied to both fail (f) and pass (g).

For InquiryP, this method will wait for resolution of all outstanding IOUs (Promises) before applying f and g.

i.e. "Run one function for the list of failures, another for the list of passes, and return back everything."

This is useful for returning a full accounting of all results and the original subject, in addition to making adjustments based on resulting Fail and Pass lists.

const myQuestionset = Questionset.of([
    [
        'is it greater than 1?',
        x =>
            x > 1
                ? Pass({ greaterThanOne: true })
                : Fail({ greaterThanOne: false })
    ],
    [
        'is it greater than 10?',
        x =>
            x > 10
                ? Pass({ greaterThanTen: true })
                : Fail({ greaterThanTen: false })
    ]
]);
 
const results = Inquiry.subject(5)
    .using(myQuestionset)
    .inquireAll()
    .conclude(
        a => ({
            failCount: a.join().length,
            fails: a.join()
        }),
        b => ({
            passCount: b.join().length,
            passes: b.join()
        })
    );
 
console.log(results);
// > {subject: Just(5), pass: {passCount: 1, passes: ['Is greater than 1']}, fail: {failCount: 1, fails: ['Is less than or equal to 10']}, iou: IOU([]), informant: _ => _, questionset: Questionset(...), receipt: Receipt(...)};

.faulted(f)

Runs function f against the Fail list -- but only if there are items in that list. Otherwise, runs a no-op function.

i.e., "Run the function if something fails."

Functionally equivalent to .conclude(f, x => {}).

.cleared(f)

Runs function f against the Pass list -- but only if there are no items in the Fail list. Otherwise, runs a no-op function.

i.e., "Run the function if everything passes."

Functionally opposite of .faulted(f). These two can be in the same chain.

.suffice(f)

Runs function f against the Pass list -- but only if there are items in the Pass list. Otherwise, runs a no-op function.

i.e., "Run the function if something passes."

Functionally equivalent to .conclude(x => {}, f).

.scratch(f)

Runs function f against the Fail list -- but only if there are no items in the Pass list. Otherwise, runs a no-op function.

i.e., "Run the function if everything fails"

Functionally opposite of .suffice(f). These two can be in the same chain.

.fork(f, g)

Either run a function f if there are any values in the Fail list, or g if there are no values in the Fail list, returning only the result of the function executed.

i.e. "Run one function if something failed, another if nothing failed."

This is useful for conventional error-handling, where you wish to favour handling of Fail results regardless of any Pass results.

const myQuestionset = Questionset.of([
    [
        'is it greater than 1?',
        x =>
            x > 1
                ? Pass({ greaterThanOne: true })
                : Fail({ greaterThanOne: false })
    ],
    [
        'is it greater than 10?',
        x =>
            x > 10
                ? Pass({ greaterThanTen: true })
                : Fail({ greaterThanTen: false })
    ]
]);
 
const results1 = Inquiry.subject(5)
    .using(myQuestionset)
    .inquireAll()
    .fork(
        x => ({
            failCount: x.join().length,
            fails: x.join()
        }),
        y => ({
            passCount: y.join().length,
            passes: y.join()
        })
    );
 
console.log(results1);
// > {failCount: 1, fails: ['Is less than or equal to 10']}
 
const results2 = Inquiry.subject(15)
    .using(myQuestionset)
    .inquireAll()
    .fork(
        x => ({
            failCount: x.join().length,
            fails: x.join()
        }),
        y => ({
            passCount: y.join().length,
            passes: y.join()
        })
    );
 
console.log(results2);
// > {passCount: 2, passes: ['Is greater than 1', 'Is greater than 10']}

.fold(f, g)

Either run a function f if there are any values in the Pass list, or g if there are no values in the Pass list, returning only the result of the function executed.

i.e. "Run one function if something passed, another if nothing passed."

This is similar to .fork but with weighting towards Pass rather than Fail.

.zip(f)

Run function f against an Array resulting from a merge of Pass and Fail lists.

i.e., "Run the function against a merge of fails and passes."

This may be useful if you'd like to use the Inquiry API but do not necessarily care about Pass or Fail lists, or you may have already handled their dichotomous aspects via other means.

const myQuestionset = Questionset.of([
    [
        'is it greater than 1?',
        x =>
            x > 1
                ? Pass({ greaterThanOne: true })
                : Fail({ greaterThanOne: false })
    ],
    [
        'is it greater than 10?',
        x =>
            x > 10
                ? Pass({ greaterThanTen: true })
                : Fail({ greaterThanTen: false })
    ]
]);
 
const logResults = someFn; // notify another system about the passes/failures
 
const results = Inquiry.subject(5)
    .informant(logResults)
    .using(myQuestionset)
    .inquireAll()
    .zip(x => x);
 
console.log(results);
// >> [{greaterThanOne: true}, {greaterThanTen: false}]

.await(t) (InquiryP only)

t is optional.

After resolving all outstanding IOUs or waiting for time t, returns a Promise containing the Inquiry with either all IOUs resolved or a timeout under the Fail list.

i.e., "Wait for everything to finish, then continue."

const myQuestionset = Questionset.of([
    [
        'is it greater than 1?',
        x =>
            x > 1
                ? Pass('Is greater than 1')
                : Fail('Is less than or equal to 1')
    ],
    [
        'is it greater than 10?',
        x =>
            x > 10
                ? Pass('Is greater than 10')
                : Fail('Is less than or equal to 10')
    ],
    ['get me some data', async () => Promise.resolve(Pass('here is some data'))]
]);
 
InquiryP.subject(5)
    .using(myQuestionset)
    .inquireAll()
    .await(20000)
    .then(inq => console.log(inq.join())); // if checkDb() took more than 20 seconds, its result would be a Fail
 
// > {subject: Just(5), pass: Pass(['Is greater than 1', 'here is some data']), fail: Fail(['Is less than or equal to 10']), iou: IOU([]), informant: _ => _, questionset: Questionset(...), receipt: Receipt(...)};

Early results methods:

.breakpoint(f)

Run a function f only if the Fail list has contents.

i.e., "Run the function if there are any fails thus far."

You must return the parameter passed to the function.

e.g.

    .breakpoint(x => {
        // do something
        return x;
    });

The InquiryP versions of this will wait for outstanding IOUs to resolve.

Useful if you'd like to handle Fail results early for some reason, such as throwing a fatal error or notifying an external stakeholder.

const myQuestionset = Questionset.of([
    [
        'is it greater than 1?',
        x =>
            x > 1
                ? Pass({ greaterThanOne: true })
                : Fail({ greaterThanOne: false })
    ],
    [
        'is it greater than 10?',
        x =>
            x > 10
                ? Pass({ greaterThanTen: true })
                : Fail({ greaterThanTen: false })
    ],
    [
        'is it more than 20?',
        x =>
            x > 20
                ? Pass({ greaterThanTwenty: true })
                : Fail({ greaterThanTwenty: false })
    ]
]);
 
Inquiry.subject(5)
    .using(myQuestionset)
    .inquire('is it greater than 1?')
    .breakpoint(x => {
        console.warn('after one', x.fail.join()); // will not happen
        return x;
    })
    .inquire('is it greater than 10?')
    .breakpoint(x => {
        console.warn('after ten', x.fail.join()); // this will run
        return x;
    })
    .inquire('is it more than 20?');

.milestone(f)

Run a function f only if Pass list has contents. Unlike fork or cleared this triggers if there are any results in the Pass list, regardless of how many results exist within the Fail list.

i.e., "Run the function if there are any passes thus far."

You must return the parameter passed to the function.

e.g.

    .milestone(x => {
        // do something
        return x;
    });

The InquiryP versions of this will wait for outstanding IOUs to resolve.

Useful if you'd like to handle Pass results early for some reason.

const myQuestionset = Questionset.of([
    [
        'is it greater than 1?',
        x =>
            x > 1
                ? Pass({ greaterThanOne: true })
                : Fail({ greaterThanOne: false })
    ],
    [
        'is it greater than 10?',
        x =>
            x > 10
                ? Pass({ greaterThanTen: true })
                : Fail({ greaterThanTen: false })
    ],
    [
        'is it more than 20?',
        x =>
            x > 20
                ? Pass({ greaterThanTwenty: true })
                : Fail({ greaterThanTwenty: false })
    ]
]);
 
Inquiry.subject(5)
    .using(myQuestionset)
    .inquire('is it greater than 1?')
    .milestone(x => {
        console.warn('after one', x.pass.join()); // this will run
        return Inquiry.of(x);
    })
    .inquire('is it greater than 10?')
    .milestone(x => {
        console.warn('after ten', x.pass.join()); // this will run (still has passes)
        return Inquiry.of(x);
    })
    .inquire('is it more than 20?');

Multi-map method:

.unison(f)

Run a function f against both Pass and Fail lists.

Note that in the case of InquiryP items in the IOU list will be missed, unless resolved via .await easlier. This does currently bury the Inquiry in a Promise layer, however.

const myQuestionset = Questionset.of([
    [
        'is it greater than 1?',
        x =>
            x > 1
                ? Pass('Is greater than 1')
                : Fail('Is less than or equal to 1')
    ],
    [
        'is it greater than 10?',
        x =>
            x > 10
                ? Pass('Is greater than 10')
                : Fail('Is less than or equal to 10')
    ]
]);
 
const allCaps = items => items.map(x => x.toUpperCase());
 
Inquiry.subject(5)
    .using(myQuestionset)
    .inquireAll()
    .unison(allCaps)
    .join();
 
// > {subject: Just(5), pass: Pass(['IS GREATER THAN 1']), fail: Fail(['IS LESS THANK OR EQUAL TO 10']), iou: IOU([]), informant: _ => _, questionset: Questionset(...), receipt: Receipt(...)};

Flow-control method:

.swap()

Swap the Pass and Fail lists.

This would be useful if you are using Pass/Fail as a proxy for a differently-opinionated concept that does not give weight to one side over another.

// @todo more practical example...
const myQuestionset = Questionset.of([
    [
        'is it greater than 1?',
        x =>
            x > 1
                ? Pass('Is greater than 1')
                : Fail('Is less than or equal to 1')
    ],
    [
        'is it greater than 10?',
        x =>
            x > 10
                ? Pass('Is greater than 10')
                : Fail('Is less than or equal to 10')
    ]
]);
 
const result = Inquiry.subject(5)
    .using(myQuestionset)
    .inquireAll()
    .swap();
 
console.log(result);
// > {subject: Just(5), pass: Pass(['Is less than or equal to 10']), fail: Fail(['Is greater than 1']), iou: IOU([]), informant: _ => _, questionset: Questionset(...), receipt: Receipt(...)};

Monad methods

These methods can be used against any monads in this API: Inquiry, Pass, Fail, Questionset, Question, IOU, Receipt, to name a few.

.map(f)

Taking a function f, apply the contained value and return the result in the same type of monad.

NOTE: You should only be using this on Inquiry/InquiryP if you have a good understanding of their type structure, as this is a function where it is very easy to break things.

const R = require('ramda');
const passes = Pass([1, 2]);
const fails = Fail([5, 10, 30]);
const doublePasses = passes.map(R.multiply(2));
const tripleFails = fails.map(R.multiply(3));
 
console.log(doublePasses.inspect());
// > Pass([2, 4])
 
console.log(tripleFails.inspect());
// > Fail([15, 30, 90])
 
// since `Inquiry` is a monad containing a strictly structured Object type, simple maps will not work
const isEven = n => n % 2 === 0;
const filterPass = inq => {
    inq.passes.map(R.filter(isEven)); // passes is inside a Pass monad, need to map it as well
    return inq; // must return with all properties intact (passes, fails, ious, etc)
};
 
const qset = Questionset.of([
    ['pass one', x => Pass(1)],
    ['pass two', x => Pass(2)]
]);
 
const result = Inquiry.subject('something')
    .using(qset)
    .inquireAll()
    .map(filterPass)
    .join();
 
console.log(result);
// > { subject: Just('something), pass: Pass([2]), fail: Fail([]), iou: IOU([]), informant: _ => _, questionset: Questionset(...), receipt: Receipt(...)}

.ap(f)

Applicative functor method. This is arguably one of the more complex functional programming concepts included in this module.

With this you can take a monad that contains a function (instead of a straight up value) and combine it with a monad containing a value.

In this example, we use Ramda and Maybe to handle a Pass list.

// using Ramda for this example for the R.sum function, which adds all array values together
const R = require('ramda');
const Maybe = require('simple-maybe');
const passes = Pass([1, 2]);
const addAllPasses = Maybe.of(R.sum).ap(passes);
 
console.log(addAllPasses.inspect());
// > Just(3)

.join(f)

See above in Unwrap methods section.

.chain(f)

See above in Unwrap methods section.

.inspect(f)

See above in Core methods section.

Development

Source is written in TypeScript. Run tests via npm run test.

MIT License

Copyright 2018-2019 Robert Gerald Porter mailto:[e-mail]

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.