How to add redis client for caching in GraphQL resolver - javascript

Any idea how we can write graphQL resolver so that I can cache API response in the redis and on the next call it takes data from the redis instead of hitting the backend API response ?
Here user name is unique in the API. i.e. 1. getify and 2. bradtraversy
/// Middleware Function to Check Cache
checkCache = (username) => {
redis.get(username, (err, data) => {
if (err) {
console.log("====111111111111==========");
console.log(err);
}
if (data !== null) {
personInfo = data;
// console.log(data);
console.log("============222222222222=========");
return personInfo;
}
});
};
// Running Code
const resolvers = {
Query: {
getPerson: async (_, { username }) => {
await checkCache(username);
console.log(username);
if(null != personInfo) {
console.log("=======333333333=======")
console.log(personInfo);
return JSON.parse(personInfo);
}
else {
console.log("Fetching Data from API")
console.log(username);
const response = await fetch(`https://api.github.com/users/${username}`).then(response => response.json());
redis.SETEX(username, 300, JSON.stringify(response));
// console.log(response);
return response;
}
}
}

I think you might want something like Apollo's Data Sources, assuming you are getting data from other REST APIs. They have a section specifically about using Redis/memcached as a cache instead of an in-memory one.
So the gist of this answer is, if you're using Apollo Server and wanting to cache responses from REST APIs, you can use Data Sources with apollo-server-cache-redis

Related

Next js API + MongoDB error 431 on dynamic request

I'm getting a 431 (headers fields too large) on some API calls within a fullstack Next JS project. This only occurs on a dynamic API route (/author/get/[slug]), same result with both frontend and Postman. The server is running on local, and other endpoints works fine with exactly the same fetching logic.
The request is not even treated by Next API, no log will appear anywhere.
The database used is mongoDB. The API is pure simple JS.
The objective is to get a single author (will evolve in getStaticProps)
The API call looks like this (no headers whatsoever):
try {
const res = await fetch(`http://localhost:3000/api/author/get/${slug}`, { method: "GET" })
console.log(res)
} catch (error) { console.log(error) }
And the endpoint:
// author/get/[slug].js
import {getClient} from "../../../../src/config/mongodb-config";
export default async function handler(req, res) {
const { query } = req
const { slug } = query
if(req.method !== 'GET') {
return
}
const clientPromise = await getClient()
const author = clientPromise.db("database").collection("authors").findOne({ 'slug': slug })
res.status(200).json(author)
await clientPromise.close()
}
Tried without success:
To remove a nesting level (making the path /author/[slug])

Firebase functions end point returning an empty object from server but working in localhost

I was creating an API using firebase functions and express JS. In the express, I have a number of GET routes that fetches the data from the internet using Axios. In addition to that one GET route scrape a site using Axios and JSDOM and returns an array of objects.
I'm using async-await modifiers to run the code in an asynchronous manner. However, all the other endpoints are returning proper data but scraping one not.
From the console, it's actually going inside the response then callback but returning an empty object. Also from the firebase console, I got to know that it's logging an error "Error: Request failed with status code 503Error".
Code:
index.js
//To get crypto news
app.get("/crypto-news", (req,res) => {
return cryptoNews.getLatesCryptoNews().then(async(response) => {
console.log("News arrived") //Which is actually logging in console
return Promise.resolve(res.json({data: response}));
}).catch(err => {
console.log("Failed to fetch")
return res.send("Failed to fetch from API");
})
});
//Firebase
exports.app = functions.https.onRequest(app);
cryptoNews.js
//Get nse equity data
async function getLatesCryptoNews() {
try {
let response = await axios({
method: 'get',
url: `https://tracemycode.com/`,
json: true
});
if (await response) {
const dom = new JSDOM(response.data);
const document = dom.window.document;
const posts = document.querySelectorAll("div.news-posts");
//Check emptiness
if (posts.length !== 0) {
let data = [];
console.log("Posts not empty"); //not loggin in console
//Go through each node and get data
posts.forEach(item => {
let time = item.querySelector('div.news-post-time p').textContent;
let title = item.querySelector('div.news-post-title h1').textContent;
//Push to array
data.push({
"title": (title !== null && typeof title === "string") && title,
"time":( time !== null && typeof time === "string") && time.substring(1, time.length - 1),
});
});
console.log("Sending data") //not logging in console
return Promise.resolve(data);
}
}
} catch (err) {
console.error(err + "Error");
}
}
exports.getLatesCryptoNews = getLatesCryptoNews;
I wonder why it's working fine in the localhost and not in the firebase functions server.

How to integrate getAccessToken with fetch function to load data from DRF backend to React Frontend?

React newbie here, but proficient in Django.I have a simple fetch function which worked perfectly but then my project had no login authentication involved. Now that I have configured the login system, my backend refuses to serve requests with any access tokens. My login authentication is very new to me and was more or less copied from somewhere. I am trying to understand it but am not able to. I just need to know how to convert my simple fetch function to include the getAccessToken along the request in it's headers so my backend serves that request.
Here is my previously working simple fetch function :
class all_orders extends Component {
state = {
todos: []
};
async componentDidMount() {
try {
const res = await fetch('http://127.0.0.1:8000/api/allorders/'); // fetching the data from api, before the page loaded
const todos = await res.json();
console.log(todos);
this.setState({
todos
});
} catch (e) {
console.log(e);
}
}
My new login JWT authentication system works perfectly, but my previous code is not working and I keep getting error
"detail": "Authentication credentials were not provided."
This is is the accesstoken I am not able to 'combine' with my preivous fetch function:
const getAccessToken = () => {
return new Promise(async (resolve, reject) => {
const data = reactLocalStorage.getObject(API_TOKENS);
if (!data)
return resolve('No User found');
let access_token = '';
const expires = new Date(data.expires * 1000);
const currentTime = new Date();
if (expires > currentTime) {
access_token = data.tokens.access;
} else {
try {
const new_token = await loadOpenUrl(REFRESH_ACCESS_TOKEN, {
method: 'post',
data: {
refresh: data.tokens.refresh,
}
});
access_token = new_token.access;
const expires = new_token.expires;
reactLocalStorage.setObject(API_TOKENS, {
tokens: {
...data.tokens,
access: access_token
},
expires: expires
});
} catch (e) {
try {
if (e.data.code === "token_not_valid")
signINAgainNotification();
else
errorGettingUserInfoNotification();
} catch (e) {
// pass
}
return reject('Error refreshing token', e);
}
}
return resolve(access_token);
});
};
If you're looking for a way how to pass headers in fetch request, it's pretty straight forward:
await fetch('http://127.0.0.1:8000/api/allorders/', {
headers: {
// your headers there as pair key-value, matching what your API is expecting, for example:
'details': getAccessToken()
}
})
Just don't forget to import your getAccessToken const, if that's put it another file, and I believe that would be it. Some reading on Fetch method

Handling File Uploads When Offline With Service Worker

We have a web app (built using AngularJS) that we're gradually adding PWA 'features' too (service worker, launchable, notifications, etc). One of the features our web app has is the ability to complete a web form while offline. At the moment, we store the data in IndexedDB when offline, and simply encourage the user to push that data to the server once they're online ("This form is saved to your device. Now you're back online, you should save it to the cloud..."). We will do this automatically at some point, but that's not necessary at the moment.
We are adding a feature to these web forms, whereby the user will be able to attach files (images, documents) to the form, perhaps at several points throughout the form.
My question is this - is there a way for service worker to handle file uploads? To somehow - perhaps - store the path to the file to be uploaded, when offline, and push that file up once the connection has been restored? Would this work on mobile devices, as do we have access to that 'path' on those devices? Any help, advice or references would be much appreciated.
When the user selects a file via an <input type="file"> element, we are able to get the selected file(s) via fileInput.files. This gives us a FileList object, each item in it being a File object representing the selected file(s). FileList and File are supported by HTML5's Structured Clone Algorithm.
When adding items to an IndexedDB store, it creates a structured clone of the value being stored. Since FileList and File objects are supported by the structured clone algorithm, this means that we can store these objects in IndexedDB directly.
To perform those file uploads once the user goes online again, you can use the Background Sync feature of service workers. Here's an introductory article on how to do that. There are a lot of other resources for that as well.
In order to be able to include file attachments in your request once your background sync code runs, you can use FormData. FormDatas allow adding File objects into the request that will be sent to your backend, and it is available from within the service worker context.
One way to handle file uploads/deletes and almost everything, is by keeping track of all the changes made during the offline requests. We can create a sync object with two arrays inside, one for pending files that will need to be uploaded and one for deleted files that will need to be deleted when we'll get back online.
tl;dr
Key phases
Service Worker Installation
Along with static data, we make sure to fetch dynamic data as the main listing of our uploaded files (in the example case /uploads GET returns JSON data with the files).
Service Worker Fetch
Handling the service worker fetch event, if the fetch fails, then we have to handle the requests for the files listing, the requests that upload a file to the server and the request that deletes a file from the server. If we don't have any of these requests, then we return a match from the default cache.
Listing GET
We get the cached object of the listing (in our case /uploads) and the sync object. We concat the default listing files with the pending files and we remove the deleted files and we return new response object with a JSON result as the server would have returned it.
Uloading PUT
We get the cached listing files and the sync pending files from the cache. If the file isn't present, then we create a new cache entry for that file and we use the mime type and the blob from the request to create a new Response object that it will be saved to the default cache.
Deleting DELETE
We check in the cached uploads and if the file is present we delete the entry from both the listing array and the cached file. If the file is pending we just delete the entry from the pending array, else if it's not already in the deleted array, then we add it. We update listing, files and sync object cache at the end.
Syncing
When the online event gets triggered, we try to synchronize with the server. We read the sync cache.
If there are pending files, then we get each file Response object from cache and we send a PUT fetch request back to the server.
If there are deleted files, then we send a DELETE fetch request for each file to the server.
Finally, we reset the sync cache object.
Code implementation
(Please read the inline comments)
Service Worker Install
const cacheName = 'pwasndbx';
const syncCacheName = 'pwasndbx-sync';
const pendingName = '__pending';
const syncName = '__sync';
const filesToCache = [
'/',
'/uploads',
'/styles.css',
'/main.js',
'/utils.js',
'/favicon.ico',
'/manifest.json',
];
/* Start the service worker and cache all of the app's content */
self.addEventListener('install', function(e) {
console.log('SW:install');
e.waitUntil(Promise.all([
caches.open(cacheName).then(async function(cache) {
let cacheAdds = [];
try {
// Get all the files from the uploads listing
const res = await fetch('/uploads');
const { data = [] } = await res.json();
const files = data.map(f => `/uploads/${f}`);
// Cache all uploads files urls
cacheAdds.push(cache.addAll(files));
} catch(err) {
console.warn('PWA:install:fetch(uploads):err', err);
}
// Also add our static files to the cache
cacheAdds.push(cache.addAll(filesToCache));
return Promise.all(cacheAdds);
}),
// Create the sync cache object
caches.open(syncCacheName).then(cache => cache.put(syncName, jsonResponse({
pending: [], // For storing the penging files that later will be synced
deleted: [] // For storing the files that later will be deleted on sync
}))),
])
);
});
Service Worker Fetch
self.addEventListener('fetch', function(event) {
// Clone request so we can consume data later
const request = event.request.clone();
const { method, url, headers } = event.request;
event.respondWith(
fetch(event.request).catch(async function(err) {
const { headers, method, url } = event.request;
// A custom header that we set to indicate the requests come from our syncing method
// so we won't try to fetch anything from cache, we need syncing to be done on the server
const xSyncing = headers.get('X-Syncing');
if(xSyncing && xSyncing.length) {
return caches.match(event.request);
}
switch(method) {
case 'GET':
// Handle listing data for /uploads and return JSON response
break;
case 'PUT':
// Handle upload to cache and return success response
break;
case 'DELETE':
// Handle delete from cache and return success response
break;
}
// If we meet no specific criteria, then lookup to the cache
return caches.match(event.request);
})
);
});
function jsonResponse(data, status = 200) {
return new Response(data && JSON.stringify(data), {
status,
headers: {'Content-Type': 'application/json'}
});
}
Service Worker Fetch Listing GET
if(url.match(/\/uploads\/?$/)) { // Failed to get the uploads listing
// Get the uploads data from cache
const uploadsRes = await caches.match(event.request);
let { data: files = [] } = await uploadsRes.json();
// Get the sync data from cache
const syncRes = await caches.match(new Request(syncName), { cacheName: syncCacheName });
const sync = await syncRes.json();
// Return the files from uploads + pending files from sync - deleted files from sync
const data = files.concat(sync.pending).filter(f => sync.deleted.indexOf(f) < 0);
// Return a JSON response with the updated data
return jsonResponse({
success: true,
data
});
}
Service Worker Fetch Uloading PUT
// Get our custom headers
const filename = headers.get('X-Filename');
const mimetype = headers.get('X-Mimetype');
if(filename && mimetype) {
// Get the uploads data from cache
const uploadsRes = await caches.match('/uploads', { cacheName });
let { data: files = [] } = await uploadsRes.json();
// Get the sync data from cache
const syncRes = await caches.match(new Request(syncName), { cacheName: syncCacheName });
const sync = await syncRes.json();
// If the file exists in the uploads or in the pendings, then return a 409 Conflict response
if(files.indexOf(filename) >= 0 || sync.pending.indexOf(filename) >= 0) {
return jsonResponse({ success: false }, 409);
}
caches.open(cacheName).then(async (cache) => {
// Write the file to the cache using the response we cloned at the beggining
const data = await request.blob();
cache.put(`/uploads/${filename}`, new Response(data, {
headers: { 'Content-Type': mimetype }
}));
// Write the updated files data to the uploads cache
cache.put('/uploads', jsonResponse({ success: true, data: files }));
});
// Add the file to the sync pending data and update the sync cache object
sync.pending.push(filename);
caches.open(syncCacheName).then(cache => cache.put(new Request(syncName), jsonResponse(sync)));
// Return a success response with fromSw set to tru so we know this response came from service worker
return jsonResponse({ success: true, fromSw: true });
}
Service Worker Fetch Deleting DELETE
// Get our custom headers
const filename = headers.get('X-Filename');
if(filename) {
// Get the uploads data from cache
const uploadsRes = await caches.match('/uploads', { cacheName });
let { data: files = [] } = await uploadsRes.json();
// Get the sync data from cache
const syncRes = await caches.match(new Request(syncName), { cacheName: syncCacheName });
const sync = await syncRes.json();
// Check if the file is already pending or deleted
const pendingIndex = sync.pending.indexOf(filename);
const uploadsIndex = files.indexOf(filename);
if(pendingIndex >= 0) {
// If it's pending, then remove it from pending sync data
sync.pending.splice(pendingIndex, 1);
} else if(sync.deleted.indexOf(filename) < 0) {
// If it's not in pending and not already in sync for deleting,
// then add it for delete when we'll sync with the server
sync.deleted.push(filename);
}
// Update the sync cache
caches.open(syncCacheName).then(cache => cache.put(new Request(syncName), jsonResponse(sync)));
// If the file is in the uplods data
if(uploadsIndex >= 0) {
// Updates the uploads data
files.splice(uploadsIndex, 1);
caches.open(cacheName).then(async (cache) => {
// Remove the file from the cache
cache.delete(`/uploads/${filename}`);
// Update the uploads data cache
cache.put('/uploads', jsonResponse({ success: true, data: files }));
});
}
// Return a JSON success response
return jsonResponse({ success: true });
}
Synching
// Get the sync data from cache
const syncRes = await caches.match(new Request(syncName), { cacheName: syncCacheName });
const sync = await syncRes.json();
// If the are pending files send them to the server
if(sync.pending && sync.pending.length) {
sync.pending.forEach(async (file) => {
const url = `/uploads/${file}`;
const fileRes = await caches.match(url);
const data = await fileRes.blob();
fetch(url, {
method: 'PUT',
headers: {
'X-Filename': file,
'X-Syncing': 'syncing' // Tell SW fetch that we are synching so to ignore this fetch
},
body: data
}).catch(err => console.log('sync:pending:PUT:err', file, err));
});
}
// If the are deleted files send delete request to the server
if(sync.deleted && sync.deleted.length) {
sync.deleted.forEach(async (file) => {
const url = `/uploads/${file}`;
fetch(url, {
method: 'DELETE',
headers: {
'X-Filename': file,
'X-Syncing': 'syncing' // Tell SW fetch that we are synching so to ignore this fetch
}
}).catch(err => console.log('sync:deleted:DELETE:err', file, err));
});
}
// Update and reset the sync cache object
caches.open(syncCacheName).then(cache => cache.put(syncName, jsonResponse({
pending: [],
deleted: []
})));
Example PWA
I have created a PWA example that implements all these, which you can find and test here. I have tested it using Chrome and Firefox and using Firefox Android on a mobile device.
You can find the full source code of the application (including an express server) in this Github repository: https://github.com/clytras/pwa-sandbox.
The Cache API is designed to store a request (as the key) and a response (as the value) in order to cache a content from the server, for the web page. Here, we're talking about caching user input for future dispatch to the server. In other terms, we're not trying to implement a cache, but a message broker, and that's not currently something handled by the Service Worker spec (Source).
You can figure it out by trying this code:
HTML:
<button id="get">GET</button>
<button id="post">POST</button>
<button id="put">PUT</button>
<button id="patch">PATCH</button>
JavaScript:
if ('serviceWorker' in navigator) {
navigator.serviceWorker.register('/service-worker.js', { scope: '/' }).then(function (reg) {
console.log('Registration succeeded. Scope is ' + reg.scope);
}).catch(function (error) {
console.log('Registration failed with ' + error);
});
};
document.getElementById('get').addEventListener('click', async function () {
console.log('Response: ', await fetch('50x.html'));
});
document.getElementById('post').addEventListener('click', async function () {
console.log('Response: ', await fetch('50x.html', { method: 'POST' }));
});
document.getElementById('put').addEventListener('click', async function () {
console.log('Response: ', await fetch('50x.html', { method: 'PUT' }));
});
document.getElementById('patch').addEventListener('click', async function () {
console.log('Response: ', await fetch('50x.html', { method: 'PATCH' }));
});
Service Worker:
self.addEventListener('fetch', function (event) {
var response;
event.respondWith(fetch(event.request).then(function (r) {
response = r;
caches.open('v1').then(function (cache) {
cache.put(event.request, response);
}).catch(e => console.error(e));
return response.clone();
}));
});
Which throws:
TypeError: Request method 'POST' is unsupported
TypeError: Request method 'PUT' is unsupported
TypeError: Request method 'PATCH' is unsupported
Since, the Cache API can't be used, and following the Google guidelines, IndexedDB is the best solution as a data store for ongoing requests.
Then, the implementation of a message broker is the responsibility of the developer, and there is no unique generic implementation that will cover all of the use cases. There are many parameters that will determine the solution:
Which criteria will trigger the use of the message broker instead of the network? window.navigator.onLine? A certain timeout? Other?
Which criteria should be used to start trying to forward ongoing requests on the network? self.addEventListener('online', ...)? navigator.connection?
Should requests respect the order or should they be forwarded in parallel? In other terms, should they be considered as dependent on each other, or not?
If run in parallel, should they be batched to prevent a bottleneck on the network?
In case the network is considered available, but the requests still fail for some reason, which retry logic to implement? Exponential backoff? Other?
How to notify the user that their actions are in a pending state while they are?
...
This is really very broad for a single StackOverflow answer.
That being said, here is a minimal working solution:
HTML:
<input id="file" type="file">
<button id="sync">SYNC</button>
<button id="get">GET</button>
JavaScript:
if ('serviceWorker' in navigator) {
navigator.serviceWorker.register('/service-worker.js', { scope: '/' }).then(function (reg) {
console.log('Registration succeeded. Scope is ' + reg.scope);
}).catch(function (error) {
console.log('Registration failed with ' + error);
});
};
document.getElementById('get').addEventListener('click', function () {
fetch('api');
});
document.getElementById('file').addEventListener('change', function () {
fetch('api', { method: 'PUT', body: document.getElementById('file').files[0] });
});
document.getElementById('sync').addEventListener('click', function () {
navigator.serviceWorker.controller.postMessage('sync');
});
Service Worker:
self.importScripts('https://unpkg.com/idb#5.0.1/build/iife/index-min.js');
const { openDB, deleteDB, wrap, unwrap } = idb;
const dbPromise = openDB('put-store', 1, {
upgrade(db) {
db.createObjectStore('put');
},
});
const idbKeyval = {
async get(key) {
return (await dbPromise).get('put', key);
},
async set(key, val) {
return (await dbPromise).put('put', val, key);
},
async delete(key) {
return (await dbPromise).delete('put', key);
},
async clear() {
return (await dbPromise).clear('put');
},
async keys() {
return (await dbPromise).getAllKeys('put');
},
};
self.addEventListener('fetch', function (event) {
if (event.request.method === 'PUT') {
let body;
event.respondWith(event.request.blob().then(file => {
// Retrieve the body then clone the request, to avoid "body already used" errors
body = file;
return fetch(new Request(event.request.url, { method: event.request.method, body }));
}).then(response => handleResult(response, event, body)).catch(() => handleResult(null, event, body)));
} else if (event.request.method === 'GET') {
event.respondWith(fetch(event.request).then(response => {
return response.ok ? response : caches.match(event.request);
}).catch(() => caches.match(event.request)));
}
});
async function handleResult(response, event, body) {
const getRequest = new Request(event.request.url, { method: 'GET' });
const cache = await caches.open('v1');
await idbKeyval.set(event.request.method + '.' + event.request.url, { url: event.request.url, method: event.request.method, body });
const returnResponse = response && response.ok ? response : new Response(body);
cache.put(getRequest, returnResponse.clone());
return returnResponse;
}
// Function to call when the network is supposed to be available
async function sync() {
const keys = await idbKeyval.keys();
for (const key of keys) {
try {
const { url, method, body } = await idbKeyval.get(key);
const response = await fetch(url, { method, body });
if (response && response.ok)
await idbKeyval.delete(key);
}
catch (e) {
console.warn(`An error occurred while trying to sync the request: ${key}`, e);
}
}
}
self.addEventListener('message', sync);
Some words about the solution: it allows to cache the PUT request for future GET requests, and it also stores the PUT request into an IndexedDB database for future sync. About the key, I was inspired by Angular's TransferHttpCacheInterceptor which allows to serialize backend requests on the server-side rendered page for use by the browser-rendered page. It uses <verb>.<url> as the key. That supposes a request will override another request with the same verb and URL.
This solution also supposes that the backend does not return 204 No content as a response of a PUT request, but 200 with the entity in the body.
I was also stumbling upon it lately. Here is what I am doing to store in index db and return response when offline.
const storeFileAndReturnResponse = async function (request, urlSearchParams) {
let requestClone = request.clone();
let formData = await requestClone.formData();
let tableStore = "fileUploads";
let fileList = [];
let formDataToStore = [];
//Use formData.entries to iterate collection - this assumes you used input type= file
for (const pair of formData.entries()) {
let fileObjectUploaded = pair[1];
//content holds the arrayBuffer (blob) of the uploaded file
formDataToStore.push({
key: pair[0],
value: fileObjectUploaded,
content: await fileObjectUploaded.arrayBuffer(),
});
let fileName = fileObjectUploaded.name;
fileList.push({
fileName: fileName,
});
}
let payloadToStore = {
parentId: parentId,
fileList: fileList,
formDataKeyValue: formDataToStore,
};
(await idbContext).put(tableStore, payloadToStore);
return {
UploadedFileList: fileList,
};
};

Chain functions using bluebird promises in NodeJS

I'm sorry for asking yet another Promise question however, I can't quite grasp it and after reading tons of questions on here and explanations I'm still struggling.
So in my nodejs project, I'm trying to do three things.
1) Get user info from the Facebook API
graph.get(message.user, function getUserInfo(err, res) {
console.log(res)
}
2) Get a list of users from another API
request.get('https://api-url/api/users', {
'auth': {
'bearer': 'bearerAuth'
}
})
3) Check the name from the Facebook user matches a name in the JSON data I get back from my API then hand it to the user.
let aPieceOfData = "";
Bluebird.promisifyAll(graph.get(message.user))
.then(function(res) {
// this should give me the response from the Facebook API which is the user
// Then pass the response to the next .then(function(){})
})
.then(function(res) {
request.get('https://api-url/api/users', {
'auth': {
'bearer': 'bearerAuth'
}
const apiData = JSON.parse(response.body);
for (i in apiData) {
if (res.username == apiData[i].username) {
// if the username matches the user name then save some data to a variable outside this scope so I can access it
aPieceOfData = apiData[i].item;
}
}
})
})
.catch(function(err) {
console.log(err, "<<<<<<<");
})
Formatting might be a little off. But I'm struggling to understand how promises work and how I can pass the data between my chained functions than at the end save it outside my function so I can use it.
Can someone give a bit of explanation and/or some links to beginner friendlier explanations.
Based on the example from the doc
var fs = Promise.promisifyAll(require("fs"));
fs.readFileAsync("myfile.js", "utf8").then(function(contents) {
console.log(contents); }).catch(function(e) {
console.error(e.stack); });
I believe it should be like this:
var g = Bluebird.promisifyAll(graph);
g.getAsync(message.user)
.then(function (res) {
// this should give me the response from the Facebook API which is the user
// Then pass the response to the next .then(function(){})
return res;
})
.then(function (res) {
return request.get('https://api-url/api/users', {
'auth': {
'bearer': 'bearerAuth'
}
});
})
.then(function (response) {
const apiData = JSON.parse(response.body);
for (i in apiData) {
if (res.username == apiData[i].username) {
// if the username matches the user name then save some data to a variable outside this scope so I can access it
aPieceOfData = apiData[i].item;
}
}
})
.catch(function (err) {
console.log(err, "<<<<<<<");
});

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