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  • Titre:jeromecukier.net | just another wordpress site

    La description :menu skip to content home jeromecukier.net just another wordpress site august 17, 2016 by jerome on uncategorized the big leagues this is the 7th and last post in my visualization with react series. p...

    Classement Alexa Global: # 924,611,Alexa Classement dans United States est # 378,577

    Server:GitHub.com...

    L'adresse IP principale: 217.70.184.38,Votre serveur France,Paris ISP:Gandi SAS  TLD:net Code postal:fr

    Ce rapport est mis à jour en 06-Aug-2018

Created Date:2008-10-14
Changed Date:2017-03-24

Données techniques du jeromecukier.net


Geo IP vous fournit comme la latitude, la longitude et l'ISP (Internet Service Provider) etc. informations. Notre service GeoIP a trouvé l'hôte jeromecukier.net.Actuellement, hébergé dans France et son fournisseur de services est Gandi SAS .

Latitude: 48.853408813477
Longitude: 2.348799943924
Pays: France (fr)
Ville: Paris
Région: Ile-de-France
ISP: Gandi SAS

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Analyse d'en-tête HTTP


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DNS

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HtmlToText

menu skip to content home jeromecukier.net just another wordpress site august 17, 2016 by jerome on uncategorized the big leagues this is the 7th and last post in my visualization with react series. previous post: creating a react visualization web app we can finally take the little wheels off and create a real react app. that’s what we’ll make: you can try the app for yourself here . the code is available on github . this time, instead of loading data from a paltry csv file, we’ll go live and hit the openweathermap api and get live weather data. the app may be more complex than anything we’ve done before, but it’s really more of the same, so i’ll be probably quicker. first, look at the secrets.json file. as you can guess, it can’t work as is – if you want to try this at home, you must get your own (free) api key from openweathermap. next, let’s take a look at our constants.js file. at this stage, you might ask: why not put the api key in that constants file? well, it’s good practice to never store your api keys in your code. so, i put it in a separate file. constants.js is pretty simple. it has: a url prefix (that of the openweathermap api). if they change it, i can just edit the constants file. the city_id holds the identifier of san francisco. you can replace it by whatever you want (it’s not too difficult to find the city_id for any given city at the owm web site). finally, i have a json object called keys where i store what i’m interested in getting from the api. let’s move to the app.js file, which is the top-level react file. import react, { component } from 'react'; import './app.css'; import '../node_modules/react-vis/main.css'; import {json} from 'd3-request'; import * as constants from './constants'; import secrets from './secrets.json'; const {api} = secrets; note that i can import my json file like a code file. we start, unsurprisingly, by creating an app component, and by a constructor method. class app extends component { constructor(props) { super(props); this.state = { highlighted: null }; this.highlightx = this.highlightx.bind(this); this.processresults = this.processresults.bind(this); } we initialize the state, and bind two methods. nothing we haven’t seen. componentwillmount() { json(`${constants.query_prefix}?id=${constants.city_id}&appid=${api}&units=imperial`, this.processresults); } things get interesting with the componentwillmount method. we use our d3-request json function to read the url in the first line, which we compose by joining the url prefix, the city id, the api key, and i’ve added ‘units=imperial’ so that temperatures are in farenheit. feel free to change this to units=metric or remove it (in which case temperatures will be in kelvin, why not). the second argument of the json function is what is done with the request – this is our first private method, processresults, which is what comes next. processresults(error, queryresults) { if (error) { this.setstate({error}); } const data = constants.keys.map(key => ({ key, values: queryresults.list.map((d, i) => ({ i, x: d.dt * 1000, y: d[key.key1] ? d[key.key1][key.key2] || 0 : 0 })) })).reduce((prev, curr) => { return {...prev, [curr.key.name]: curr.values} }, { 'city-name': ( queryresults && queryresults.city && queryresults.city.name ) || 'unkown' }); this.setstate({data}); } if the data can’t load, error will have a value, and we’ll pass it to the state. else, we’re going to process the result of the query (queryresults) according to the structure that we want (constants.keys). here, i’m using a sequence of map and reduce. map turns an array into another array of the same shape. reduce turns an array into something else, such as an object as here. queryresults is an object which has a list property. queryresults.list is an array of nested objects. this is why each entry of constants.keys specifies two keys. to simplify, one of these objects could look like this: { "dt": 1471413600, "main": { "temp": 57.22, "temp_min": 53.32, "temp_max": 57.22, "pressure": 1017.57, "sea_level": 1025.63, "grnd_level": 1017.57, "humidity": 100, "temp_kf": 2.17 }, "weather": [ { "id": 500, "main": "rain", "description": "light rain", "icon": "10n" } ], "clouds": { "all": 24 }, "wind": { "speed": 3.42, "deg": 234.501 }, "rain": { "3h": 0.02 }, "sys": { "pod": "n" }, "dt_txt": "2016-08-17 06:00:00" } so, if i’m interested in the temperature, i have to get it from main, then temp. (two keys) for each entry of constants.keys, i’m mapping queryresults to create a time series of objects with three properties: in x, a date in timestamp format (number of milliseconds since 1970). in y, the value i’m interested in. and in i, the index of that object in the time series. when i’m done mapping constants.keys, i have an array of such time series, or more exactly: an array of objects with a name property (which comes from constants.keys) and a values property (the array of objects described above). finally, i’m reducing it to an object using reduce. the reduce method works like this: myarray.reduce(function(prev, curr) { // operation involving the previous result (prev) and the current element of the array (curr) return resultofthatoperation;}, // which becomes prev in the next loop initialvalueofreduce) // which will go into prev the first time what mine does is turn that array into an object. the keys of that object are the name property of each element, and the values are what’s behind the values property of that object (our time series). and that final object has an extra property: city-name, the name of the city for which weather is being queried, if it exists. when this object is created, we send it to the state. highlightx(highlighted) { this.setstate({highlighted}); } highlightx is our other private method. what it does is send whatever it’s passed to the state. but since we create it here, it will pass that to the state of app, the top level component. if that state is changed, all the children (ie everything) may be re-rendered. finally, we have our render method. we’ll skip on the styling – codewise, we’ll see that this method calls two components, largechart and smallchart, with similar properties: <largechart highlighted={highlighted} highlightx={this.highlightx} series={data.temperature} title='temperature' /> // ... <smallchart highlighted={highlighted} highlightx={this.highlightx} series={data.pressure} title='pressure' /> highlighted comes from the state of app. highlightx is the callback method. we’ve seen this before – we give children components the ability to change the state of their parent, and we also pass them the result of that change. else, we pass to each component a part of our data object, and a different title. let’s move on to the large chart component: import react, { component } from 'react'; import moment from 'moment'; import { lineseries, makewidthflexible, markseries, verticalgridlines, xaxis, xyplot, yaxis } from 'react-vis'; const hour_in_ms = 60 * 60 * 1000; const day_in_ms = 24 * hour_in_ms; const flexiblexyplot = makewidthflexible(xyplot); so far, we’re importing a bunch of stuff. the two constants that we create are the numbers of milliseconds in an hour, and in a day, which will be useful in a bit. flexiblexyplot is a special react-vis component that can resize (in width). by using this as opposed to xyplot with a fixed width, we can make our app layout responsive ( try resizing the window! ) without having to think too hard it. export default class largechart extends component { render() { const {highlighted, highlightx, series} = this.props; const minvalue = math.min(...series.map(d => d.y)); const maxvalue = math.max(...series.map(d => d.y)); const ydomain = [0.98 * minvalue, 1.02 * maxvalue]; const tickvalues = series.map(d => d.x); const labelvalues = makelabelvalues(series); eh, we could have made a pure functional component, since this one only has a render method and no state. first, we come u

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Informations Whois


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Domain Name: JEROMECUKIER.NET
Registry Domain ID: 1524174798_DOMAIN_NET-VRSN
Registrar WHOIS Server: whois.ovh.com
Registrar URL: http://www.ovh.com
Updated Date: 2017-03-24T01:16:23Z
Creation Date: 2008-10-14T10:07:17Z
Registry Expiry Date: 2018-10-14T10:07:17Z
Registrar: OVH
Registrar IANA ID: 433
Registrar Abuse Contact Email:
Registrar Abuse Contact Phone:
Domain Status: clientDeleteProhibited https://icann.org/epp#clientDeleteProhibited
Domain Status: clientTransferProhibited https://icann.org/epp#clientTransferProhibited
Name Server: DNS13.OVH.NET
Name Server: NS13.OVH.NET
DNSSEC: unsigned
URL of the ICANN Whois Inaccuracy Complaint Form: https://www.icann.org/wicf/
>>> Last update of whois database: 2017-12-24T12:20:10Z <<<

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  REGISTRAR OVH

SERVERS

  SERVER net.whois-servers.net

  ARGS domain =jeromecukier.net

  PORT 43

  TYPE domain
RegrInfo
DOMAIN

  NAME jeromecukier.net

  CHANGED 2017-03-24

  CREATED 2008-10-14

STATUS
clientDeleteProhibited https://icann.org/epp#clientDeleteProhibited
clientTransferProhibited https://icann.org/epp#clientTransferProhibited

NSERVER

  DNS13.OVH.NET 213.251.188.132

  NS13.OVH.NET 213.251.128.132

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