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@contactlab/appy

Node CInpm (scoped)node-current (scoped)GitHub package.json dependency version (dev dep on branch)GitHub package.json dependency version (dev dep on branch)GitHub

A functional wrapper around Fetch API.

Install

$ npm install @contactlab/appy fp-ts
# --- or ---
$ yarn add @contactlab/appy fp-ts

Motivation

appy tries to offer a better model for fetching resources, using the standard global fetch() function as a "backbone" and some principles from Functional Programming paradigm.

The model is built around the concepts of:

  • a function with some configurable options (Reader)
  • that runs asynchronous operations (Task)
  • which can fail for some reason (Either)

In order to achieve this, appy intensely uses:

API

appy exposes a simple core API that can be extended with "combinators".

It encodes through the Req<A> type a resource's request, or rather, an async operation that can fail or return a Resp<A>.

For better composability, the request is expressed in terms of ReaderTaskEither - a function that takes a ReqInput as parameter and returns a TaskEither: we can act on both side of operation (input and output) with the tools provided by fp-ts.

interfaceReq<A>extendsReaderTaskEither<ReqInput,Err,Resp<A>>{}

ReqInput encodes the fetch() parameters: a single RequestInfo (simple string or Request object) or a tuple of RequestInfo and RequestInit (the object containing request's options, that it's optional in the original fetch() API).

typeReqInput=RequestInfo|RequestInfoInit;// Just an alias for a tuple of `RequesInfo` and `RequestInit` (namely the `fetch()` parameters)typeRequestInfoInit=[RequestInfo,RequestInit];

Resp<A> is an object that carries the original Response from a fetch() call, the actual retrieved data (of type A) and the request's input (optional).

interfaceResp<A>{response: Response;data: A;input?: RequestInfoInit;}

Err encodes (as tagged union) the two kind of error that can be generated by Req: a RequestError or a ResponseError.

typeErr=RequestError|ResponseError;

RequestError represents a request error. It carries the generated Error and the input of the request (RequestInfoInit tuple).

interfaceRequestError{type: 'RequestError';error: Error;input: RequestInfoInit;}

ResponseError represents a response error. It carries the generated Error, the original Response object and the request's input (optional).

interfaceResponseError{type: 'ResponseError';error: Error;response: Response;input?: RequestInfoInit;}

Examples

import{get}from'@contactlab/appy';import{fold}from'fp-ts/Either';constusers=get('https://reqres.in/api/users');users().then(fold(err=>console.error(err),resp=>console.log(resp.data)));

You can find other examples here.

Combinators

To make easier extending the library functionalities, any other feature should then be expressed as a simple combinator Req<A> => Req<A>.

So, for example, decoding the response body as JSON:

import{get}from'@contactlab/appy';import{withDecoder,Decoder}from'@contactlab/appy/combinators/decoder';import{pipe}from'fp-ts/function';interfaceUser{id: number;email: string;first_name: string;last_name: string;avatar: string;}declareconstuserDec: Decoder<User>;constgetUser=pipe(get,withDecoder(userDec));constsingleUser=getUser('https://reqres.in/api/users/1');

or adding headers to the request:

import{get}from'@contactlab/appy';import{withHeaders}from'@contactlab/appy/combinators/headers';constasJson=pipe(get,withHeaders({'Content-Type': 'application/json'}));constusers=asJson('https://reqres.in/api/users');

or setting request's body (for POSTs or PUTs):

import{post}from'@contactlab/appy';import{withBody}from'@contactlab/appy/combinators/body';import{pipe}from'fp-ts/function';constsend=pipe(post,withBody({email: 'foo.bar@mail.com',first_name: 'Foo',last_name: 'Bar'}));constaddUser=send('https://reqres.in/api/users');

io-ts integration

io-ts is recommended but not automatically installed as dependency.

In order to use it with the Decoder combinator you can write a simple helper like:

import*astfrom'io-ts';import{failure}from'io-ts/PathReporter';import{Decoder,toDecoder}from'@contactlab/appy/combinators/decoder';exportconstfromIots=<A>(d: t.Decoder<unknown,A>): Decoder<A>=>toDecoder(d.decode,e=>newError(failure(e).join('\n')));

Or, with the Decoder module:

import*asDfrom'io-ts/Decoder';import{Decoder,toDecoder}from'@contactlab/appy/combinators/decoder';exportconstfromIots=<A>(d: D.Decoder<unknown,A>): Decoder<A>=>toDecoder(d.decode,e=>newError(D.draw(e)));

About fetch() compatibility

The Fetch API is available only on "modern" browsers: if you need to support legacy browsers (e.g. Internet Explorer 11 or older) or you want to use it in a Nodejs script we recommend you the excellent cross-fetch package.

Be aware that Nodejs lacks of some classes and directives which have to be exposed to the global scope (check out the tests setup file).

Publish a new version

In order to keep the package's file structure as flat as possible, the "usual" npm publish command was disabled (via a prepublishOnly script) in favour of a release script:

$ npm run release

This command will execute npm publish directly in the /dist folder, where the postbuild script previously copied the package.json and other usefull files (LICENSE, CHANGELOG.md, etc...).

License

Released under the Apache 2.0 license.

About

A functional wrapper around Fetch API

Topics

Resources

Code of conduct

Contributing

Stars

64 stars

Watchers

6 watching

Forks

Releases

Used by

Contributors

Languages

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GitHub - contactlab/appy: A functional wrapper around Fetch API · GitHub
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Repository files navigation

@contactlab/appy

Node CInpm (scoped)node-current (scoped)GitHub package.json dependency version (dev dep on branch)GitHub package.json dependency version (dev dep on branch)GitHub

A functional wrapper around Fetch API.

Install

$ npm install @contactlab/appy fp-ts
# --- or ---
$ yarn add @contactlab/appy fp-ts

Motivation

appy tries to offer a better model for fetching resources, using the standard global fetch() function as a "backbone" and some principles from Functional Programming paradigm.

The model is built around the concepts of:

  • a function with some configurable options (Reader)
  • that runs asynchronous operations (Task)
  • which can fail for some reason (Either)

In order to achieve this, appy intensely uses:

API

appy exposes a simple core API that can be extended with "combinators".

It encodes through the Req<A> type a resource's request, or rather, an async operation that can fail or return a Resp<A>.

For better composability, the request is expressed in terms of ReaderTaskEither - a function that takes a ReqInput as parameter and returns a TaskEither: we can act on both side of operation (input and output) with the tools provided by fp-ts.

interfaceReq<A>extendsReaderTaskEither<ReqInput,Err,Resp<A>>{}

ReqInput encodes the fetch() parameters: a single RequestInfo (simple string or Request object) or a tuple of RequestInfo and RequestInit (the object containing request's options, that it's optional in the original fetch() API).

typeReqInput=RequestInfo|RequestInfoInit;// Just an alias for a tuple of `RequesInfo` and `RequestInit` (namely the `fetch()` parameters)typeRequestInfoInit=[RequestInfo,RequestInit];

Resp<A> is an object that carries the original Response from a fetch() call, the actual retrieved data (of type A) and the request's input (optional).

interfaceResp<A>{response: Response;data: A;input?: RequestInfoInit;}

Err encodes (as tagged union) the two kind of error that can be generated by Req: a RequestError or a ResponseError.

typeErr=RequestError|ResponseError;

RequestError represents a request error. It carries the generated Error and the input of the request (RequestInfoInit tuple).

interfaceRequestError{type: 'RequestError';error: Error;input: RequestInfoInit;}

ResponseError represents a response error. It carries the generated Error, the original Response object and the request's input (optional).

interfaceResponseError{type: 'ResponseError';error: Error;response: Response;input?: RequestInfoInit;}

Examples

import{get}from'@contactlab/appy';import{fold}from'fp-ts/Either';constusers=get('https://reqres.in/api/users');users().then(fold(err=>console.error(err),resp=>console.log(resp.data)));

You can find other examples here.

Combinators

To make easier extending the library functionalities, any other feature should then be expressed as a simple combinator Req<A> => Req<A>.

So, for example, decoding the response body as JSON:

import{get}from'@contactlab/appy';import{withDecoder,Decoder}from'@contactlab/appy/combinators/decoder';import{pipe}from'fp-ts/function';interfaceUser{id: number;email: string;first_name: string;last_name: string;avatar: string;}declareconstuserDec: Decoder<User>;constgetUser=pipe(get,withDecoder(userDec));constsingleUser=getUser('https://reqres.in/api/users/1');

or adding headers to the request:

import{get}from'@contactlab/appy';import{withHeaders}from'@contactlab/appy/combinators/headers';constasJson=pipe(get,withHeaders({'Content-Type': 'application/json'}));constusers=asJson('https://reqres.in/api/users');

or setting request's body (for POSTs or PUTs):

import{post}from'@contactlab/appy';import{withBody}from'@contactlab/appy/combinators/body';import{pipe}from'fp-ts/function';constsend=pipe(post,withBody({email: 'foo.bar@mail.com',first_name: 'Foo',last_name: 'Bar'}));constaddUser=send('https://reqres.in/api/users');

io-ts integration

io-ts is recommended but not automatically installed as dependency.

In order to use it with the Decoder combinator you can write a simple helper like:

import*astfrom'io-ts';import{failure}from'io-ts/PathReporter';import{Decoder,toDecoder}from'@contactlab/appy/combinators/decoder';exportconstfromIots=<A>(d: t.Decoder<unknown,A>): Decoder<A>=>toDecoder(d.decode,e=>newError(failure(e).join('\n')));

Or, with the Decoder module:

import*asDfrom'io-ts/Decoder';import{Decoder,toDecoder}from'@contactlab/appy/combinators/decoder';exportconstfromIots=<A>(d: D.Decoder<unknown,A>): Decoder<A>=>toDecoder(d.decode,e=>newError(D.draw(e)));

About fetch() compatibility

The Fetch API is available only on "modern" browsers: if you need to support legacy browsers (e.g. Internet Explorer 11 or older) or you want to use it in a Nodejs script we recommend you the excellent cross-fetch package.

Be aware that Nodejs lacks of some classes and directives which have to be exposed to the global scope (check out the tests setup file).

Publish a new version

In order to keep the package's file structure as flat as possible, the "usual" npm publish command was disabled (via a prepublishOnly script) in favour of a release script:

$ npm run release

This command will execute npm publish directly in the /dist folder, where the postbuild script previously copied the package.json and other usefull files (LICENSE, CHANGELOG.md, etc...).

License

Released under the Apache 2.0 license.

About

A functional wrapper around Fetch API

Topics

Resources

Code of conduct

Contributing

Stars

64 stars

Watchers

6 watching

Forks

Releases

Used by

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { // Force GitHub README to respect dark mode (function() { var style = document.createElement('style'); style.textContent = ' .markdown-body { color-scheme: dark light; } .markdown-body pre { background: #161b22 !important; } .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; } .markdown-body table th, .markdown-body table td { border-color: #30363d !important; } .markdown-body img { background: #0d1117; } .markdown-body blockquote { border-left-color: #8b949e; } .markdown-body hr { border-color: #30363d; } '; document.head.appendChild(style); })(); } } catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + ' GitHub - contactlab/appy: A functional wrapper around Fetch API · GitHub
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@contactlab/appy

Node CInpm (scoped)node-current (scoped)GitHub package.json dependency version (dev dep on branch)GitHub package.json dependency version (dev dep on branch)GitHub

A functional wrapper around Fetch API.

Install

$ npm install @contactlab/appy fp-ts
# --- or ---
$ yarn add @contactlab/appy fp-ts

Motivation

appy tries to offer a better model for fetching resources, using the standard global fetch() function as a "backbone" and some principles from Functional Programming paradigm.

The model is built around the concepts of:

  • a function with some configurable options (Reader)
  • that runs asynchronous operations (Task)
  • which can fail for some reason (Either)

In order to achieve this, appy intensely uses:

API

appy exposes a simple core API that can be extended with "combinators".

It encodes through the Req<A> type a resource's request, or rather, an async operation that can fail or return a Resp<A>.

For better composability, the request is expressed in terms of ReaderTaskEither - a function that takes a ReqInput as parameter and returns a TaskEither: we can act on both side of operation (input and output) with the tools provided by fp-ts.

interfaceReq<A>extendsReaderTaskEither<ReqInput,Err,Resp<A>>{}

ReqInput encodes the fetch() parameters: a single RequestInfo (simple string or Request object) or a tuple of RequestInfo and RequestInit (the object containing request's options, that it's optional in the original fetch() API).

typeReqInput=RequestInfo|RequestInfoInit;// Just an alias for a tuple of `RequesInfo` and `RequestInit` (namely the `fetch()` parameters)typeRequestInfoInit=[RequestInfo,RequestInit];

Resp<A> is an object that carries the original Response from a fetch() call, the actual retrieved data (of type A) and the request's input (optional).

interfaceResp<A>{response: Response;data: A;input?: RequestInfoInit;}

Err encodes (as tagged union) the two kind of error that can be generated by Req: a RequestError or a ResponseError.

typeErr=RequestError|ResponseError;

RequestError represents a request error. It carries the generated Error and the input of the request (RequestInfoInit tuple).

interfaceRequestError{type: 'RequestError';error: Error;input: RequestInfoInit;}

ResponseError represents a response error. It carries the generated Error, the original Response object and the request's input (optional).

interfaceResponseError{type: 'ResponseError';error: Error;response: Response;input?: RequestInfoInit;}

Examples

import{get}from'@contactlab/appy';import{fold}from'fp-ts/Either';constusers=get('https://reqres.in/api/users');users().then(fold(err=>console.error(err),resp=>console.log(resp.data)));

You can find other examples here.

Combinators

To make easier extending the library functionalities, any other feature should then be expressed as a simple combinator Req<A> => Req<A>.

So, for example, decoding the response body as JSON:

import{get}from'@contactlab/appy';import{withDecoder,Decoder}from'@contactlab/appy/combinators/decoder';import{pipe}from'fp-ts/function';interfaceUser{id: number;email: string;first_name: string;last_name: string;avatar: string;}declareconstuserDec: Decoder<User>;constgetUser=pipe(get,withDecoder(userDec));constsingleUser=getUser('https://reqres.in/api/users/1');

or adding headers to the request:

import{get}from'@contactlab/appy';import{withHeaders}from'@contactlab/appy/combinators/headers';constasJson=pipe(get,withHeaders({'Content-Type': 'application/json'}));constusers=asJson('https://reqres.in/api/users');

or setting request's body (for POSTs or PUTs):

import{post}from'@contactlab/appy';import{withBody}from'@contactlab/appy/combinators/body';import{pipe}from'fp-ts/function';constsend=pipe(post,withBody({email: 'foo.bar@mail.com',first_name: 'Foo',last_name: 'Bar'}));constaddUser=send('https://reqres.in/api/users');

io-ts integration

io-ts is recommended but not automatically installed as dependency.

In order to use it with the Decoder combinator you can write a simple helper like:

import*astfrom'io-ts';import{failure}from'io-ts/PathReporter';import{Decoder,toDecoder}from'@contactlab/appy/combinators/decoder';exportconstfromIots=<A>(d: t.Decoder<unknown,A>): Decoder<A>=>toDecoder(d.decode,e=>newError(failure(e).join('\n')));

Or, with the Decoder module:

import*asDfrom'io-ts/Decoder';import{Decoder,toDecoder}from'@contactlab/appy/combinators/decoder';exportconstfromIots=<A>(d: D.Decoder<unknown,A>): Decoder<A>=>toDecoder(d.decode,e=>newError(D.draw(e)));

About fetch() compatibility

The Fetch API is available only on "modern" browsers: if you need to support legacy browsers (e.g. Internet Explorer 11 or older) or you want to use it in a Nodejs script we recommend you the excellent cross-fetch package.

Be aware that Nodejs lacks of some classes and directives which have to be exposed to the global scope (check out the tests setup file).

Publish a new version

In order to keep the package's file structure as flat as possible, the "usual" npm publish command was disabled (via a prepublishOnly script) in favour of a release script:

$ npm run release

This command will execute npm publish directly in the /dist folder, where the postbuild script previously copied the package.json and other usefull files (LICENSE, CHANGELOG.md, etc...).

License

Released under the Apache 2.0 license.

About

A functional wrapper around Fetch API

Topics

Resources

Code of conduct

Contributing

Stars

64 stars

Watchers

6 watching

Forks

Releases

Used by

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { // Highlight search terms from Google/DuckDuckGo/Bing referrer (function() { var ref = document.referrer; var terms = []; if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) { var url = new URL(ref); var q = url.searchParams.get('q') || url.searchParams.get('p'); if (q) { terms = q.split(/\s+/).filter(function(t) { return t.length > 2; }); } } if (terms.length === 0) return; var style = document.createElement('style'); style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }'; document.head.appendChild(style); function highlight(node) { if (node.nodeType === 3) { // text node var text = node.textContent; var found = false; terms.forEach(function(term) { var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\]\\]/g, '\\') + ')', 'gi'); if (regex.test(text)) { found = true; var frag = document.createDocumentFragment(); var parts = text.split(regex); parts.forEach(function(part, i) { if (i % 2 === 0) { frag.appendChild(document.createTextNode(part)); } else { var span = document.createElement('span'); span.className = 'userscript-highlight'; span.textContent = part; frag.appendChild(span); } }); node.parentNode.replaceChild(frag, node); } }); } else if (node.nodeType === 1 && node.childNodes) { // element var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT']; if (!skipTags.includes(node.tagName)) { Array.from(node.childNodes).forEach(highlight); } } } highlight(document.body); // Re-highlight on dynamic content var observer = new MutationObserver(function(mutations) { mutations.forEach(function(m) { m.addedNodes.forEach(function(node) { if (node.nodeType === 1 || node.nodeType === 3) highlight(node); }); }); }); observer.observe(document.body, { childList: true, subtree: true }); })(); } } catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + ' GitHub - contactlab/appy: A functional wrapper around Fetch API · GitHub
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@contactlab/appy

Node CInpm (scoped)node-current (scoped)GitHub package.json dependency version (dev dep on branch)GitHub package.json dependency version (dev dep on branch)GitHub

A functional wrapper around Fetch API.

Install

$ npm install @contactlab/appy fp-ts
# --- or ---
$ yarn add @contactlab/appy fp-ts

Motivation

appy tries to offer a better model for fetching resources, using the standard global fetch() function as a "backbone" and some principles from Functional Programming paradigm.

The model is built around the concepts of:

  • a function with some configurable options (Reader)
  • that runs asynchronous operations (Task)
  • which can fail for some reason (Either)

In order to achieve this, appy intensely uses:

API

appy exposes a simple core API that can be extended with "combinators".

It encodes through the Req<A> type a resource's request, or rather, an async operation that can fail or return a Resp<A>.

For better composability, the request is expressed in terms of ReaderTaskEither - a function that takes a ReqInput as parameter and returns a TaskEither: we can act on both side of operation (input and output) with the tools provided by fp-ts.

interfaceReq<A>extendsReaderTaskEither<ReqInput,Err,Resp<A>>{}

ReqInput encodes the fetch() parameters: a single RequestInfo (simple string or Request object) or a tuple of RequestInfo and RequestInit (the object containing request's options, that it's optional in the original fetch() API).

typeReqInput=RequestInfo|RequestInfoInit;// Just an alias for a tuple of `RequesInfo` and `RequestInit` (namely the `fetch()` parameters)typeRequestInfoInit=[RequestInfo,RequestInit];

Resp<A> is an object that carries the original Response from a fetch() call, the actual retrieved data (of type A) and the request's input (optional).

interfaceResp<A>{response: Response;data: A;input?: RequestInfoInit;}

Err encodes (as tagged union) the two kind of error that can be generated by Req: a RequestError or a ResponseError.

typeErr=RequestError|ResponseError;

RequestError represents a request error. It carries the generated Error and the input of the request (RequestInfoInit tuple).

interfaceRequestError{type: 'RequestError';error: Error;input: RequestInfoInit;}

ResponseError represents a response error. It carries the generated Error, the original Response object and the request's input (optional).

interfaceResponseError{type: 'ResponseError';error: Error;response: Response;input?: RequestInfoInit;}

Examples

import{get}from'@contactlab/appy';import{fold}from'fp-ts/Either';constusers=get('https://reqres.in/api/users');users().then(fold(err=>console.error(err),resp=>console.log(resp.data)));

You can find other examples here.

Combinators

To make easier extending the library functionalities, any other feature should then be expressed as a simple combinator Req<A> => Req<A>.

So, for example, decoding the response body as JSON:

import{get}from'@contactlab/appy';import{withDecoder,Decoder}from'@contactlab/appy/combinators/decoder';import{pipe}from'fp-ts/function';interfaceUser{id: number;email: string;first_name: string;last_name: string;avatar: string;}declareconstuserDec: Decoder<User>;constgetUser=pipe(get,withDecoder(userDec));constsingleUser=getUser('https://reqres.in/api/users/1');

or adding headers to the request:

import{get}from'@contactlab/appy';import{withHeaders}from'@contactlab/appy/combinators/headers';constasJson=pipe(get,withHeaders({'Content-Type': 'application/json'}));constusers=asJson('https://reqres.in/api/users');

or setting request's body (for POSTs or PUTs):

import{post}from'@contactlab/appy';import{withBody}from'@contactlab/appy/combinators/body';import{pipe}from'fp-ts/function';constsend=pipe(post,withBody({email: 'foo.bar@mail.com',first_name: 'Foo',last_name: 'Bar'}));constaddUser=send('https://reqres.in/api/users');

io-ts integration

io-ts is recommended but not automatically installed as dependency.

In order to use it with the Decoder combinator you can write a simple helper like:

import*astfrom'io-ts';import{failure}from'io-ts/PathReporter';import{Decoder,toDecoder}from'@contactlab/appy/combinators/decoder';exportconstfromIots=<A>(d: t.Decoder<unknown,A>): Decoder<A>=>toDecoder(d.decode,e=>newError(failure(e).join('\n')));

Or, with the Decoder module:

import*asDfrom'io-ts/Decoder';import{Decoder,toDecoder}from'@contactlab/appy/combinators/decoder';exportconstfromIots=<A>(d: D.Decoder<unknown,A>): Decoder<A>=>toDecoder(d.decode,e=>newError(D.draw(e)));

About fetch() compatibility

The Fetch API is available only on "modern" browsers: if you need to support legacy browsers (e.g. Internet Explorer 11 or older) or you want to use it in a Nodejs script we recommend you the excellent cross-fetch package.

Be aware that Nodejs lacks of some classes and directives which have to be exposed to the global scope (check out the tests setup file).

Publish a new version

In order to keep the package's file structure as flat as possible, the "usual" npm publish command was disabled (via a prepublishOnly script) in favour of a release script:

$ npm run release

This command will execute npm publish directly in the /dist folder, where the postbuild script previously copied the package.json and other usefull files (LICENSE, CHANGELOG.md, etc...).

License

Released under the Apache 2.0 license.

About

A functional wrapper around Fetch API

Topics

Resources

Code of conduct

Contributing

Stars

64 stars

Watchers

6 watching

Forks

Releases

Used by

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { // Strip utm_, fbclid, gclid, etc. from all links on page (function() { var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content', 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid', 'ref', 'ref_src', 'source', 'medium', 'campaign']; function cleanUrl(url) { try { var u = new URL(url, window.location.origin); var changed = false; trackingParams.forEach(function(p) { if (u.searchParams.has(p)) { u.searchParams.delete(p); changed = true; } }); return changed ? u.toString() : url; } catch (e) { return url; } } function cleanLinks() { document.querySelectorAll('a[href]').forEach(function(a) { var clean = cleanUrl(a.href); if (clean !== a.href) a.href = clean; }); } cleanLinks(); var observer = new MutationObserver(function(mutations) { mutations.forEach(function(m) { m.addedNodes.forEach(function(node) { if (node.nodeType === 1) { if (node.tagName === 'A') cleanLinks(); node.querySelectorAll('a[href]').forEach(function(a) { var clean = cleanUrl(a.href); if (clean !== a.href) a.href = clean; }); } }); }); }); observer.observe(document.body, { childList: true, subtree: true }); })(); } } catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); } })(); (function(){ try { var __m = "youtube.com"; var __re = new RegExp('^' + "youtube\\.com" + ' GitHub - contactlab/appy: A functional wrapper around Fetch API · GitHub
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@contactlab/appy

Node CInpm (scoped)node-current (scoped)GitHub package.json dependency version (dev dep on branch)GitHub package.json dependency version (dev dep on branch)GitHub

A functional wrapper around Fetch API.

Install

$ npm install @contactlab/appy fp-ts
# --- or ---
$ yarn add @contactlab/appy fp-ts

Motivation

appy tries to offer a better model for fetching resources, using the standard global fetch() function as a "backbone" and some principles from Functional Programming paradigm.

The model is built around the concepts of:

  • a function with some configurable options (Reader)
  • that runs asynchronous operations (Task)
  • which can fail for some reason (Either)

In order to achieve this, appy intensely uses:

API

appy exposes a simple core API that can be extended with "combinators".

It encodes through the Req<A> type a resource's request, or rather, an async operation that can fail or return a Resp<A>.

For better composability, the request is expressed in terms of ReaderTaskEither - a function that takes a ReqInput as parameter and returns a TaskEither: we can act on both side of operation (input and output) with the tools provided by fp-ts.

interfaceReq<A>extendsReaderTaskEither<ReqInput,Err,Resp<A>>{}

ReqInput encodes the fetch() parameters: a single RequestInfo (simple string or Request object) or a tuple of RequestInfo and RequestInit (the object containing request's options, that it's optional in the original fetch() API).

typeReqInput=RequestInfo|RequestInfoInit;// Just an alias for a tuple of `RequesInfo` and `RequestInit` (namely the `fetch()` parameters)typeRequestInfoInit=[RequestInfo,RequestInit];

Resp<A> is an object that carries the original Response from a fetch() call, the actual retrieved data (of type A) and the request's input (optional).

interfaceResp<A>{response: Response;data: A;input?: RequestInfoInit;}

Err encodes (as tagged union) the two kind of error that can be generated by Req: a RequestError or a ResponseError.

typeErr=RequestError|ResponseError;

RequestError represents a request error. It carries the generated Error and the input of the request (RequestInfoInit tuple).

interfaceRequestError{type: 'RequestError';error: Error;input: RequestInfoInit;}

ResponseError represents a response error. It carries the generated Error, the original Response object and the request's input (optional).

interfaceResponseError{type: 'ResponseError';error: Error;response: Response;input?: RequestInfoInit;}

Examples

import{get}from'@contactlab/appy';import{fold}from'fp-ts/Either';constusers=get('https://reqres.in/api/users');users().then(fold(err=>console.error(err),resp=>console.log(resp.data)));

You can find other examples here.

Combinators

To make easier extending the library functionalities, any other feature should then be expressed as a simple combinator Req<A> => Req<A>.

So, for example, decoding the response body as JSON:

import{get}from'@contactlab/appy';import{withDecoder,Decoder}from'@contactlab/appy/combinators/decoder';import{pipe}from'fp-ts/function';interfaceUser{id: number;email: string;first_name: string;last_name: string;avatar: string;}declareconstuserDec: Decoder<User>;constgetUser=pipe(get,withDecoder(userDec));constsingleUser=getUser('https://reqres.in/api/users/1');

or adding headers to the request:

import{get}from'@contactlab/appy';import{withHeaders}from'@contactlab/appy/combinators/headers';constasJson=pipe(get,withHeaders({'Content-Type': 'application/json'}));constusers=asJson('https://reqres.in/api/users');

or setting request's body (for POSTs or PUTs):

import{post}from'@contactlab/appy';import{withBody}from'@contactlab/appy/combinators/body';import{pipe}from'fp-ts/function';constsend=pipe(post,withBody({email: 'foo.bar@mail.com',first_name: 'Foo',last_name: 'Bar'}));constaddUser=send('https://reqres.in/api/users');

io-ts integration

io-ts is recommended but not automatically installed as dependency.

In order to use it with the Decoder combinator you can write a simple helper like:

import*astfrom'io-ts';import{failure}from'io-ts/PathReporter';import{Decoder,toDecoder}from'@contactlab/appy/combinators/decoder';exportconstfromIots=<A>(d: t.Decoder<unknown,A>): Decoder<A>=>toDecoder(d.decode,e=>newError(failure(e).join('\n')));

Or, with the Decoder module:

import*asDfrom'io-ts/Decoder';import{Decoder,toDecoder}from'@contactlab/appy/combinators/decoder';exportconstfromIots=<A>(d: D.Decoder<unknown,A>): Decoder<A>=>toDecoder(d.decode,e=>newError(D.draw(e)));

About fetch() compatibility

The Fetch API is available only on "modern" browsers: if you need to support legacy browsers (e.g. Internet Explorer 11 or older) or you want to use it in a Nodejs script we recommend you the excellent cross-fetch package.

Be aware that Nodejs lacks of some classes and directives which have to be exposed to the global scope (check out the tests setup file).

Publish a new version

In order to keep the package's file structure as flat as possible, the "usual" npm publish command was disabled (via a prepublishOnly script) in favour of a release script:

$ npm run release

This command will execute npm publish directly in the /dist folder, where the postbuild script previously copied the package.json and other usefull files (LICENSE, CHANGELOG.md, etc...).

License

Released under the Apache 2.0 license.

About

A functional wrapper around Fetch API

Topics

Resources

Code of conduct

Contributing

Stars

64 stars

Watchers

6 watching

Forks

Releases

Used by

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { // Auto-enable theater mode on YouTube (function() { function tryTheater() { var btn = document.querySelector('button[aria-label="Theater mode"], ytd-player #player button[title="Theater mode"]'); if (btn && !btn.classList.contains('activated')) { btn.click(); } } // Try immediately tryTheater(); // Try after navigation (SPA) var lastUrl = location.href; setInterval(function() { if (location.href !== lastUrl) { lastUrl = location.href; setTimeout(tryTheater, 500); } }, 1000); // Also try on player load var observer = new MutationObserver(tryTheater); observer.observe(document.body, { childList: true, subtree: true }); })(); } } catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + ' GitHub - contactlab/appy: A functional wrapper around Fetch API · GitHub
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@contactlab/appy

Node CInpm (scoped)node-current (scoped)GitHub package.json dependency version (dev dep on branch)GitHub package.json dependency version (dev dep on branch)GitHub

A functional wrapper around Fetch API.

Install

$ npm install @contactlab/appy fp-ts
# --- or ---
$ yarn add @contactlab/appy fp-ts

Motivation

appy tries to offer a better model for fetching resources, using the standard global fetch() function as a "backbone" and some principles from Functional Programming paradigm.

The model is built around the concepts of:

  • a function with some configurable options (Reader)
  • that runs asynchronous operations (Task)
  • which can fail for some reason (Either)

In order to achieve this, appy intensely uses:

API

appy exposes a simple core API that can be extended with "combinators".

It encodes through the Req<A> type a resource's request, or rather, an async operation that can fail or return a Resp<A>.

For better composability, the request is expressed in terms of ReaderTaskEither - a function that takes a ReqInput as parameter and returns a TaskEither: we can act on both side of operation (input and output) with the tools provided by fp-ts.

interfaceReq<A>extendsReaderTaskEither<ReqInput,Err,Resp<A>>{}

ReqInput encodes the fetch() parameters: a single RequestInfo (simple string or Request object) or a tuple of RequestInfo and RequestInit (the object containing request's options, that it's optional in the original fetch() API).

typeReqInput=RequestInfo|RequestInfoInit;// Just an alias for a tuple of `RequesInfo` and `RequestInit` (namely the `fetch()` parameters)typeRequestInfoInit=[RequestInfo,RequestInit];

Resp<A> is an object that carries the original Response from a fetch() call, the actual retrieved data (of type A) and the request's input (optional).

interfaceResp<A>{response: Response;data: A;input?: RequestInfoInit;}

Err encodes (as tagged union) the two kind of error that can be generated by Req: a RequestError or a ResponseError.

typeErr=RequestError|ResponseError;

RequestError represents a request error. It carries the generated Error and the input of the request (RequestInfoInit tuple).

interfaceRequestError{type: 'RequestError';error: Error;input: RequestInfoInit;}

ResponseError represents a response error. It carries the generated Error, the original Response object and the request's input (optional).

interfaceResponseError{type: 'ResponseError';error: Error;response: Response;input?: RequestInfoInit;}

Examples

import{get}from'@contactlab/appy';import{fold}from'fp-ts/Either';constusers=get('https://reqres.in/api/users');users().then(fold(err=>console.error(err),resp=>console.log(resp.data)));

You can find other examples here.

Combinators

To make easier extending the library functionalities, any other feature should then be expressed as a simple combinator Req<A> => Req<A>.

So, for example, decoding the response body as JSON:

import{get}from'@contactlab/appy';import{withDecoder,Decoder}from'@contactlab/appy/combinators/decoder';import{pipe}from'fp-ts/function';interfaceUser{id: number;email: string;first_name: string;last_name: string;avatar: string;}declareconstuserDec: Decoder<User>;constgetUser=pipe(get,withDecoder(userDec));constsingleUser=getUser('https://reqres.in/api/users/1');

or adding headers to the request:

import{get}from'@contactlab/appy';import{withHeaders}from'@contactlab/appy/combinators/headers';constasJson=pipe(get,withHeaders({'Content-Type': 'application/json'}));constusers=asJson('https://reqres.in/api/users');

or setting request's body (for POSTs or PUTs):

import{post}from'@contactlab/appy';import{withBody}from'@contactlab/appy/combinators/body';import{pipe}from'fp-ts/function';constsend=pipe(post,withBody({email: 'foo.bar@mail.com',first_name: 'Foo',last_name: 'Bar'}));constaddUser=send('https://reqres.in/api/users');

io-ts integration

io-ts is recommended but not automatically installed as dependency.

In order to use it with the Decoder combinator you can write a simple helper like:

import*astfrom'io-ts';import{failure}from'io-ts/PathReporter';import{Decoder,toDecoder}from'@contactlab/appy/combinators/decoder';exportconstfromIots=<A>(d: t.Decoder<unknown,A>): Decoder<A>=>toDecoder(d.decode,e=>newError(failure(e).join('\n')));

Or, with the Decoder module:

import*asDfrom'io-ts/Decoder';import{Decoder,toDecoder}from'@contactlab/appy/combinators/decoder';exportconstfromIots=<A>(d: D.Decoder<unknown,A>): Decoder<A>=>toDecoder(d.decode,e=>newError(D.draw(e)));

About fetch() compatibility

The Fetch API is available only on "modern" browsers: if you need to support legacy browsers (e.g. Internet Explorer 11 or older) or you want to use it in a Nodejs script we recommend you the excellent cross-fetch package.

Be aware that Nodejs lacks of some classes and directives which have to be exposed to the global scope (check out the tests setup file).

Publish a new version

In order to keep the package's file structure as flat as possible, the "usual" npm publish command was disabled (via a prepublishOnly script) in favour of a release script:

$ npm run release

This command will execute npm publish directly in the /dist folder, where the postbuild script previously copied the package.json and other usefull files (LICENSE, CHANGELOG.md, etc...).

License

Released under the Apache 2.0 license.

About

A functional wrapper around Fetch API

Topics

Resources

Code of conduct

Contributing

Stars

64 stars

Watchers

6 watching

Forks

Releases

Used by

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { // Remove or un-stick sticky/fixed headers that block content (function() { function unstick() { document.querySelectorAll('header, nav, [role="banner"], .header, .navbar, .sticky, .fixed-top, [style*="position: fixed"], [style*="position:sticky"]').forEach(function(el) { if (el.style.position === 'fixed' || el.style.position === 'sticky' || getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') { el.style.position = 'static'; el.style.top = 'auto'; el.style.zIndex = 'auto'; } }); } unstick(); var observer = new MutationObserver(unstick); observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] }); })(); } } catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + ' GitHub - contactlab/appy: A functional wrapper around Fetch API · GitHub
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@contactlab/appy

Node CInpm (scoped)node-current (scoped)GitHub package.json dependency version (dev dep on branch)GitHub package.json dependency version (dev dep on branch)GitHub

A functional wrapper around Fetch API.

Install

$ npm install @contactlab/appy fp-ts
# --- or ---
$ yarn add @contactlab/appy fp-ts

Motivation

appy tries to offer a better model for fetching resources, using the standard global fetch() function as a "backbone" and some principles from Functional Programming paradigm.

The model is built around the concepts of:

  • a function with some configurable options (Reader)
  • that runs asynchronous operations (Task)
  • which can fail for some reason (Either)

In order to achieve this, appy intensely uses:

API

appy exposes a simple core API that can be extended with "combinators".

It encodes through the Req<A> type a resource's request, or rather, an async operation that can fail or return a Resp<A>.

For better composability, the request is expressed in terms of ReaderTaskEither - a function that takes a ReqInput as parameter and returns a TaskEither: we can act on both side of operation (input and output) with the tools provided by fp-ts.

interfaceReq<A>extendsReaderTaskEither<ReqInput,Err,Resp<A>>{}

ReqInput encodes the fetch() parameters: a single RequestInfo (simple string or Request object) or a tuple of RequestInfo and RequestInit (the object containing request's options, that it's optional in the original fetch() API).

typeReqInput=RequestInfo|RequestInfoInit;// Just an alias for a tuple of `RequesInfo` and `RequestInit` (namely the `fetch()` parameters)typeRequestInfoInit=[RequestInfo,RequestInit];

Resp<A> is an object that carries the original Response from a fetch() call, the actual retrieved data (of type A) and the request's input (optional).

interfaceResp<A>{response: Response;data: A;input?: RequestInfoInit;}

Err encodes (as tagged union) the two kind of error that can be generated by Req: a RequestError or a ResponseError.

typeErr=RequestError|ResponseError;

RequestError represents a request error. It carries the generated Error and the input of the request (RequestInfoInit tuple).

interfaceRequestError{type: 'RequestError';error: Error;input: RequestInfoInit;}

ResponseError represents a response error. It carries the generated Error, the original Response object and the request's input (optional).

interfaceResponseError{type: 'ResponseError';error: Error;response: Response;input?: RequestInfoInit;}

Examples

import{get}from'@contactlab/appy';import{fold}from'fp-ts/Either';constusers=get('https://reqres.in/api/users');users().then(fold(err=>console.error(err),resp=>console.log(resp.data)));

You can find other examples here.

Combinators

To make easier extending the library functionalities, any other feature should then be expressed as a simple combinator Req<A> => Req<A>.

So, for example, decoding the response body as JSON:

import{get}from'@contactlab/appy';import{withDecoder,Decoder}from'@contactlab/appy/combinators/decoder';import{pipe}from'fp-ts/function';interfaceUser{id: number;email: string;first_name: string;last_name: string;avatar: string;}declareconstuserDec: Decoder<User>;constgetUser=pipe(get,withDecoder(userDec));constsingleUser=getUser('https://reqres.in/api/users/1');

or adding headers to the request:

import{get}from'@contactlab/appy';import{withHeaders}from'@contactlab/appy/combinators/headers';constasJson=pipe(get,withHeaders({'Content-Type': 'application/json'}));constusers=asJson('https://reqres.in/api/users');

or setting request's body (for POSTs or PUTs):

import{post}from'@contactlab/appy';import{withBody}from'@contactlab/appy/combinators/body';import{pipe}from'fp-ts/function';constsend=pipe(post,withBody({email: 'foo.bar@mail.com',first_name: 'Foo',last_name: 'Bar'}));constaddUser=send('https://reqres.in/api/users');

io-ts integration

io-ts is recommended but not automatically installed as dependency.

In order to use it with the Decoder combinator you can write a simple helper like:

import*astfrom'io-ts';import{failure}from'io-ts/PathReporter';import{Decoder,toDecoder}from'@contactlab/appy/combinators/decoder';exportconstfromIots=<A>(d: t.Decoder<unknown,A>): Decoder<A>=>toDecoder(d.decode,e=>newError(failure(e).join('\n')));

Or, with the Decoder module:

import*asDfrom'io-ts/Decoder';import{Decoder,toDecoder}from'@contactlab/appy/combinators/decoder';exportconstfromIots=<A>(d: D.Decoder<unknown,A>): Decoder<A>=>toDecoder(d.decode,e=>newError(D.draw(e)));

About fetch() compatibility

The Fetch API is available only on "modern" browsers: if you need to support legacy browsers (e.g. Internet Explorer 11 or older) or you want to use it in a Nodejs script we recommend you the excellent cross-fetch package.

Be aware that Nodejs lacks of some classes and directives which have to be exposed to the global scope (check out the tests setup file).

Publish a new version

In order to keep the package's file structure as flat as possible, the "usual" npm publish command was disabled (via a prepublishOnly script) in favour of a release script:

$ npm run release

This command will execute npm publish directly in the /dist folder, where the postbuild script previously copied the package.json and other usefull files (LICENSE, CHANGELOG.md, etc...).

License

Released under the Apache 2.0 license.

About

A functional wrapper around Fetch API

Topics

Resources

Code of conduct

Contributing

Stars

64 stars

Watchers

6 watching

Forks

Releases

Used by

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { // Universal Dark Mode - works on any site (function() { var enabled = true; function applyDarkMode() { if (!enabled) return; // Create style element if it doesn't exist var style = document.getElementById('universal-dark-mode-style'); if (!style) { style = document.createElement('style'); style.id = 'universal-dark-mode-style'; document.head.appendChild(style); } // Dark mode CSS - inverts colors but preserves images/video style.textContent = ' /* Invert everything except media */ html { filter: invert(1) hue-rotate(180deg) !important; background: #1a1a2e !important; } /* Restore images, videos, iframes, canvas */ img, video, iframe, canvas, svg, picture, [style*="background-image"] { filter: invert(1) hue-rotate(180deg) !important; } /* Preserve specific elements that should not be inverted */ .no-dark-mode, .no-dark-mode *, [data-theme="light"], [data-theme="light"], .ace_editor, .ace_editor *, .CodeMirror, .CodeMirror *, .monaco-editor, .monaco-editor *, .markdown-body pre, .markdown-body pre *, .highlight, .highlight *, pre code, pre code * { filter: none !important; } /* Fix common UI elements */ .modal, .popup, .dropdown-menu, .tooltip, .popover { filter: invert(1) hue-rotate(180deg) !important; background: #2d2d44 !important; border-color: #444 !important; } /* Scrollbars */ ::-webkit-scrollbar { background: #1a1a2e !important; } ::-webkit-scrollbar-thumb { background: #444 !important; } ::-webkit-scrollbar-thumb:hover { background: #555 !important; } /* Selection */ ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; } ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; } '; } function removeDarkMode() { var style = document.getElementById('universal-dark-mode-style'); if (style) style.remove(); } // Toggle with Alt+Shift+D document.addEventListener('keydown', function(e) { if (e.altKey && e.shiftKey && e.key === 'D') { e.preventDefault(); enabled = !enabled; if (enabled) { applyDarkMode(); console.log('[Universal Dark Mode] Enabled'); } else { removeDarkMode(); console.log('[Universal Dark Mode] Disabled'); } } }); // Apply on load applyDarkMode(); // Re-apply on dynamic content var observer = new MutationObserver(function(mutations) { if (enabled && !document.getElementById('universal-dark-mode-style')) { applyDarkMode(); } }); observer.observe(document.head, { childList: true }); console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle'); })(); } } catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); } })(); })(); GitHub - contactlab/appy: A functional wrapper around Fetch API · GitHub
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@contactlab/appy

Node CInpm (scoped)node-current (scoped)GitHub package.json dependency version (dev dep on branch)GitHub package.json dependency version (dev dep on branch)GitHub

A functional wrapper around Fetch API.

Install

$ npm install @contactlab/appy fp-ts
# --- or ---
$ yarn add @contactlab/appy fp-ts

Motivation

appy tries to offer a better model for fetching resources, using the standard global fetch() function as a "backbone" and some principles from Functional Programming paradigm.

The model is built around the concepts of:

  • a function with some configurable options (Reader)
  • that runs asynchronous operations (Task)
  • which can fail for some reason (Either)

In order to achieve this, appy intensely uses:

API

appy exposes a simple core API that can be extended with "combinators".

It encodes through the Req<A> type a resource's request, or rather, an async operation that can fail or return a Resp<A>.

For better composability, the request is expressed in terms of ReaderTaskEither - a function that takes a ReqInput as parameter and returns a TaskEither: we can act on both side of operation (input and output) with the tools provided by fp-ts.

interfaceReq<A>extendsReaderTaskEither<ReqInput,Err,Resp<A>>{}

ReqInput encodes the fetch() parameters: a single RequestInfo (simple string or Request object) or a tuple of RequestInfo and RequestInit (the object containing request's options, that it's optional in the original fetch() API).

typeReqInput=RequestInfo|RequestInfoInit;// Just an alias for a tuple of `RequesInfo` and `RequestInit` (namely the `fetch()` parameters)typeRequestInfoInit=[RequestInfo,RequestInit];

Resp<A> is an object that carries the original Response from a fetch() call, the actual retrieved data (of type A) and the request's input (optional).

interfaceResp<A>{response: Response;data: A;input?: RequestInfoInit;}

Err encodes (as tagged union) the two kind of error that can be generated by Req: a RequestError or a ResponseError.

typeErr=RequestError|ResponseError;

RequestError represents a request error. It carries the generated Error and the input of the request (RequestInfoInit tuple).

interfaceRequestError{type: 'RequestError';error: Error;input: RequestInfoInit;}

ResponseError represents a response error. It carries the generated Error, the original Response object and the request's input (optional).

interfaceResponseError{type: 'ResponseError';error: Error;response: Response;input?: RequestInfoInit;}

Examples

import{get}from'@contactlab/appy';import{fold}from'fp-ts/Either';constusers=get('https://reqres.in/api/users');users().then(fold(err=>console.error(err),resp=>console.log(resp.data)));

You can find other examples here.

Combinators

To make easier extending the library functionalities, any other feature should then be expressed as a simple combinator Req<A> => Req<A>.

So, for example, decoding the response body as JSON:

import{get}from'@contactlab/appy';import{withDecoder,Decoder}from'@contactlab/appy/combinators/decoder';import{pipe}from'fp-ts/function';interfaceUser{id: number;email: string;first_name: string;last_name: string;avatar: string;}declareconstuserDec: Decoder<User>;constgetUser=pipe(get,withDecoder(userDec));constsingleUser=getUser('https://reqres.in/api/users/1');

or adding headers to the request:

import{get}from'@contactlab/appy';import{withHeaders}from'@contactlab/appy/combinators/headers';constasJson=pipe(get,withHeaders({'Content-Type': 'application/json'}));constusers=asJson('https://reqres.in/api/users');

or setting request's body (for POSTs or PUTs):

import{post}from'@contactlab/appy';import{withBody}from'@contactlab/appy/combinators/body';import{pipe}from'fp-ts/function';constsend=pipe(post,withBody({email: 'foo.bar@mail.com',first_name: 'Foo',last_name: 'Bar'}));constaddUser=send('https://reqres.in/api/users');

io-ts integration

io-ts is recommended but not automatically installed as dependency.

In order to use it with the Decoder combinator you can write a simple helper like:

import*astfrom'io-ts';import{failure}from'io-ts/PathReporter';import{Decoder,toDecoder}from'@contactlab/appy/combinators/decoder';exportconstfromIots=<A>(d: t.Decoder<unknown,A>): Decoder<A>=>toDecoder(d.decode,e=>newError(failure(e).join('\n')));

Or, with the Decoder module:

import*asDfrom'io-ts/Decoder';import{Decoder,toDecoder}from'@contactlab/appy/combinators/decoder';exportconstfromIots=<A>(d: D.Decoder<unknown,A>): Decoder<A>=>toDecoder(d.decode,e=>newError(D.draw(e)));

About fetch() compatibility

The Fetch API is available only on "modern" browsers: if you need to support legacy browsers (e.g. Internet Explorer 11 or older) or you want to use it in a Nodejs script we recommend you the excellent cross-fetch package.

Be aware that Nodejs lacks of some classes and directives which have to be exposed to the global scope (check out the tests setup file).

Publish a new version

In order to keep the package's file structure as flat as possible, the "usual" npm publish command was disabled (via a prepublishOnly script) in favour of a release script:

$ npm run release

This command will execute npm publish directly in the /dist folder, where the postbuild script previously copied the package.json and other usefull files (LICENSE, CHANGELOG.md, etc...).

License

Released under the Apache 2.0 license.

About

A functional wrapper around Fetch API

Topics

Resources

Code of conduct

Contributing

Stars

64 stars

Watchers

6 watching

Forks

Releases

Used by

Contributors

Languages