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Spring Html
<!DOCTYPE html>
<html>
<head>
<meta charset="UTF-8">
<title>나는</title>
<link rel="stylesheet" href="https://stackpath.bootstrapcdn.com/bootstrap/4.4.1/css/bootstrap.min.css" integrity="sha384-Vkoo8x4CGsO3+Hhxv8T/Q5PaXtkKtu6ug5TOeNV6gBiFeWPGFN9MuhOf23Q9Ifjh" crossorigin="anonymous">
</head>
<body>
<div class ="container">
<div class ="row mt-4">
<div class ="col-8">
<label for ="text-input">자전거 이용률 예측 </label>
<input class ="form-control" type ="text" id ="text-input">
</div>
<div class ="col-4">
<button class ="btn btn-success btn-bg" id="btn" >machine learning</button>
</div>
</div>
</div>
</body>
<script type="text/javascript" src="https://cdnjs.cloudflare.com/ajax/libs/jquery/3.1.1/jquery.min.js"></script>
<script src="https://stackpath.bootstrapcdn.com/bootstrap/4.4.1/js/bootstrap.min.js" integrity="sha384-wfSDF2E50Y2D1uUdj0O3uMBJnjuUD4Ih7YwaYd1iqfktj0Uod8GCExl3Og8ifwB6" crossorigin="anonymous"></script>
<script src="js/socket.js"></script>
</html>
Spring Sender
$(function(){
$("#btn").click(function(){
var data = {
data : $('#text-input').val()
}
JSON.stringify(data);
console.log(data);
$.ajax({
type: "GET",
dataType: "jsonp",
data : data,
url: "http://localhost:5000/info",
success: function (data) {
console.log('data는'+data);
}
});
});
});
Python
pip install flask-restful 다운
from flask_restful import Resource, Api
from flask_restful import reqparse
추가
parser 만들고, sender에서 보낸 json에서의 key이름으로 argument를 parsing 해서 parser에 add함.
parse에 저장되 있는 arg들로 부터 인자 값을 얻어옴.
인자로 받는 이름은 data object안에 있는 칼럼 이름이다.
var data = {
year : year,
hour : hour,
windspeed : windspeed,
humidity : humidity,
atemp : atemp,
temp : temp,
weather : weather,
workingday : workingday,
holiday : holiday,
season : season
}
같은 경우 year,hour,windspeed ,,,, 가 args안에 들어감
from functools import wraps
import json
from flask import Flask
from flask import redirect, request, current_app
from flask_jsonpify import jsonpify
from sklearn.ensemble import RandomForestRegressor
import pandas as pd
from flask_restful import Resource, Api
from flask_restful import reqparse
app = Flask(__name__)
@app.route('/', methods=['GET'])
def test():
train = pd.read_csv("./train.csv")
train["datetime"] = train["datetime"].astype("datetime64")
print(train.dtypes)
train["hour"] = train["datetime"].dt.hour
train["year"] = train["datetime"].dt.year
y = train["count"]
train = train.drop(["casual","registered","count","datetime"], 1)
test = pd.read_csv("./test.csv")
test["datetime"] = test["datetime"].astype("datetime64")
test["hour"] = test["datetime"].dt.hour
test["year"] = test["datetime"].dt.year
test = test.drop("datetime",1)
print(test)
sub = pd.read_csv("./sampleSubmission.csv")
rf = RandomForestRegressor()
rf.fit(train,y)
p = rf.predict(test)
sub["count"] = p
return jsonpify(test.head(1).to_json())
@app.route('/info',methods =['GET'])
def info():
parser = reqparse.RequestParser()
parser.add_argument('data', type=str)
args = parser.parse_args()
return jsonpify(args['data'])
if __name__ == '__main__': app.run()
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