30 Days of API - API Playground.
This Web-App will include a library of API samples - to make it easier when working with the varios API's available.
Including Code Samples, Demo Sites, and video tutorials.
Below are examples for getting started with the different API's:
Emotional API - IBM WATSON - AUTH
const baseem = require('baseem');
const PersonalityInsightsV3 = require('watson-developer-cloud/personality-insights/v3');
const personality_insights = new PersonalityInsightsV3({
username: process.env.IBM_USERNAME,
password: process.env.IBM_PASSWORD,
version_date: process.env.IBM_VERSIONDATE,
headers: {
'X-Watson-Learning-Opt-Out': 'true'
}
});
app.post('/', (req,res) => {
var text = req.body.text;
personality_insights.profile(
{text: text},
function (err, response) {
if (err)
res.status(404).json({error: err});
else
res.json(response);
});
});Conversation API - IBM WATSON - AUTH
const ConversationV1 = require('watson-developer-cloud/conversation/v1');
const conversation = new ConversationV1(config.conversParams);
const workspace_id = process.env.IBM_WORKSPACEID;
const baseem = require('baseem');
app.post('/', (req,res) => {
var msg = req.body.msg;
conversation.message(
{
input: { text: msg },
workspace_id: workspace_id
},
function(err, response) {
if (err) {
console.error(err);
} else {
var watsonResponse = response.output.text[0];
res.json(response)
}
}
);
})Translate API - GOOGLE - AUTH
app.post('/', (req, res) => {
var q = req.body.q;
var options = { method: 'POST',
url: 'https://translation.googleapis.com/language/translate/v2',
form:
{ key: process.env.API_KEY,
q: q,
target: 'en' } };
request(options, function (error, response, body) {
if (error) throw new Error(error);
res.send(body);
});
})Yelp API - YELP - AUTH
const yelp = require('yelp-fusion');
const API_KEY = process.env.YELP_APIKEY;
const client = yelp.client(API_KEY);
const yelp = require('yelp-fusion');
const API_KEY = process.env.YELP_APIKEY;
const client = yelp.client(API_KEY);
const baseem = require('baseem');
app.get('/:id', (req, res) => {
const zipcode = req.params.id;
const searchRequest = {
term: 'food',
limit: 10,
radius: 20000,
location: zipcode
};
client.search(searchRequest)
.then(response => {
res.json(response.jsonBody.businesses)
}).catch(e => {
console.log(e);
});
})TMDB - The Movie Database - AUTH
getFilm() {
const API_KEY = process.env.TMDB_API_KEY;
let query = 'batman';
const url = `https://api.themoviedb.org/3/search/movie?api_key=${API_KEY}&language=en-US&page=1&include_adult=false&query=${query}`;
axios.get(url)
.then(data => {
console.log(data);
}).catch(err => {
console.log('error');
})
}DaBus API - Honolulu - AUTH
- The api does not have json :(, you can use this npm package to convert xml to json:
const parseString = require('fast-xml2js').parseString;const busURL = `http://api.thebus.org/arrivals/?key=${API_KEY}&stop=`;
const baseem = require('baseem');
app.get('/:id', (req,res) => {
var all = []
var id = req.params.id;
axios(busURL+id).then((data) => {
var xml = data.data;
parseString(xml, function (err, result) {
var body = result.stopTimes.arrival || [];
var stop = result.stopTimes.stop;
var x = body.map((elem,i) => {
var local = {};
local.stop = stop[0];
local.id = elem.id[0];
local.trip = elem.trip[0];
local.route = elem.route[0];
local.headsign = elem.headsign[0];
local.vehicle = elem.vehicle[0];
local.direction = elem.direction[0];
local.stopTime = elem.stopTime[0];
local.date = elem.date[0];
local.canceled = parseInt(elem.canceled[0]);
local.lat = elem.latitude[0];
local.lng = elem.longitude[0];
local.shape = elem.shape[0];
all.push(local);
})
res.json(all)
});
}).catch(err =>{
console.log(baseem('error'))
})
})Archive.org API - NO AUTH
app.get('/:id', (req, res) => {
let rows = req.params.id;
let mediatype = 'audio';
let output = 'json';
let archiveUrl = `https://archive.org/advancedsearch.php?q=subject%3A%22librivox%22+AND+mediatype%3A${mediatype}&fl[]=avg_rating&fl[]=publisher&fl[]=description&fl[]=downloads&fl[]=identifier&fl[]=mediatype&fl[]=num_reviews&fl[]=title&sort[]=&sort[]=&sort[]=&rows=${rows}&page=1&output=${output}`
axios.get(archiveUrl)
.then(elem => {
res.json(elem.data.response.docs);
})
})GIFS! - Giphy API - AUTH
app.get('/:id', (req, res) => {
var query = req.params.id;
var url = `http://api.giphy.com/v1/gifs/search?q=random+${query}&api_key=${apikey}`;
axios.get(url)
.then(obj => {
res.json(obj.data);
}).catch(err => {
res.json('error')
})
})Song Search - BPM API - AUTH
app.get('/:id', (req, res) => {
let query = req.params.id;
let url = `https://api.getsongbpm.com/search/?api_key=${BPM_KEY}&type=song&lookup=${query}`
axios.get(url)
.then(data => {
res.json(data.data.search);
}).catch(err => {
res.json('error');
})
})Image Emotional Recognition - AWS Rekognition API - AUTH
- NPM Packages that help:
const multer = require('multer');
const path = require('path');
const baseem = require('baseem');
const fs = require('fs-extra');
const AWS = require('aws-sdk');
const rekognition = new AWS.Rekognition({region: config.region}); //"us-east-1"- Save the photo in a local folder
const storage = multer.diskStorage({
destination: function (req, file, cb) {
cb(null, 'routes/')
},
filename: function (req, file, cb) {
cb(null, 'bat' + path.extname(file.originalname))
}
});
const upload = multer({ storage: storage });- Create the Params
function getImage(){
const imagePath = `./bat.jpg`;
const bitmap = fs.readFileSync(imagePath);
const params = {
Image: {
Bytes: bitmap
},
MaxLabels: 10,
MinConfidence: 50.0
};
return params
}app.post('/recognition', upload.single('image'), (req, res) => {
let params = getImage();
rekognition.detectLabels(params, function(err, data) {
if (err) {
console.log(baseem('error'));
}else {
console.log(data);
res.json(data);
}
});
});Image Label Detection - AWS Rekognition API - AUTH
- Image submitted for analysis
- Code for analysis - nodeJs
const AWS = require('aws-sdk');
const baseem = require('baseem');
const rekognition = new AWS.Rekognition({region: "us-east-1"});
var params = {
Image: {
S3Object: {
Bucket: "S3 BUCKET_NAME",
Name: "ship.jpg"
}
},
MaxLabels: 123,
MinConfidence: 40
};
rekognition.detectLabels(params, function(err, data) {
if (err) console.log(err, err.stack); // an error occurred
else console.log(data); // successful response
});- Analysis Response - adjustment on Confidence set lower for testing:
{ Labels:
[ { Name: 'Boat', Confidence: 99.26506042480469 },
{ Name: 'Transportation', Confidence: 99.26506042480469 },
{ Name: 'Vessel', Confidence: 99.26506042480469 },
{ Name: 'Watercraft', Confidence: 99.26506042480469 },
{ Name: 'Ferry', Confidence: 94.4769287109375 },
{ Name: 'Yacht', Confidence: 69.96138000488281 },
{ Name: 'Dock', Confidence: 53.720726013183594 },
{ Name: 'Pier', Confidence: 53.720726013183594 } ],
OrientationCorrection: 'ROTATE_0' }Historical Weather API - DarkSky Dark
const express = require('express');
const app = express();
const baseem = require('baseem');
const DarkSky = require('dark-sky')
const darksky = new DarkSky('process.env.API_KEY');
const beaufort = require('beaufort')
const options = {unit: 'kmh', getName: true};
const degToCompass = (val_num) => {
let num = parseInt(val_num);
let val = Math.floor((num / 22.5) + 0.5);
let arr = ["N", "NNE", "NE", "ENE", "E", "ESE", "SE", "SSE", "S", "SSW", "SW", "WSW", "W", "WNW", "NW", "NNW"];
return arr[(val % 16)];
}
// sample api request -> http://localhost:9000/2017/3/21.308714/-157.808782/8
app.get('/:year/:month/:lat/:lng/:hours', (req, res) => {
let year = req.params.year;
let month = req.params.month;
let lat = req.params.lat;
let lng = req.params.lng;
let hours = req.params.hours; // ex. 8 will respond with 0:00am - 08:00am
month === '2'
? count = 28
: count = 30
for(let i = 1; i < count; i++){ // run based off days in month
darksky
.latitude(lat) // set location lat
.longitude(lng) // set location lng
.time(`${year}-${month}-${i}`) // date based off api call
.units('ca') // kph - mph available - check docs
.get() // make request
.then(data=>{
let num = 0;
data.hourly.data.map(elem => {
num ++;
let timeConverted = new Date(elem.time*1000).toString();
let y = new Date(timeConverted);
let z = y.getHours();
if(parseInt(z) <= hours){
let local = {
hour: `Hour: ${num}`,
time: timeConverted,
windSpeed: elem.windSpeed,
beaufort: beaufort(parseInt(elem.windSpeed), options),
units: 'KPH',
windBearing: degToCompass(elem.windBearing)
}
console.log(local);
}
})
})
.catch(console.log);
}
res.json(baseem('Check your console - Data will be there'));
})
app.listen(9000);- Output Example:
{ hour: 'Hour: 24',
time: 983696400,
windSpeed: 16.8,
units: 'KPH',
windBearing: 70 }Video Analysis with AWS Rekognition - AWS Rekognition API - AUTH
const express = require('express');
const app = express();
const baseem = require('baseem');
const AWS = require('aws-sdk'); // NPM Package - makes life easier
const rekognition = new AWS.Rekognition({region: "us-east-1"});
// FYI: This will work if you have used AWS-CLI and configured your key/secret key
let params = {
Video: { /* required */
S3Object: {
Bucket: 'bucket_name', // s3 bucket name
Name: 'video_name.mp4', // video name case sensitive
}
},
ClientRequestToken: 'request_name', // any name you prefer
MinConfidence: 90,
NotificationChannel: {
RoleArn: 'role_arn', // found on AWS IAM Dashboard
SNSTopicArn: `SNSTopicArn` // found on AWS Service: SNS
}
};
/* RUN FIRST to get job ID */
rekognition.startLabelDetection(params, function(err, data) {
if (err) console.log(err, err.stack); // an error occurred
else console.log(data); // successful response
});
let jobID = "from startLabelDetection response";
let params1 = {
JobId: jobID, /* required */
MaxResults: 100, // MAX 1000
NextToken: 'token', // returned if more labels are found
SortBy: "TIMESTAMP" // NAME
};
rekognition.getLabelDetection(params1, function(err, data) {
if (err) console.log(err, err.stack); // an error occurred
else{
res.json(data.Labels);
};
});This project was bootstrapped with Create React App.
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