response_analysis.py

# -*- coding: utf-8 -*-
# author：Li Mingjie time:2019/3/7
# Brief:

import json
from flask import Flask
from flask import request
from flask_cors import CORS
import response_time_analysis
import response_error_analysis

app = Flask(__name__)
CORS(app, supports_credentials=True)


@app.route('/SPDAS/response_analysis1', methods=['POST'])
def domain():
    param = ({"data_type": [{"value": "control"}, {"value": "application"}, {"value": "all"}],
              "effect_type": [{"value": "cost_time"}, {"value": "response_error"}],
              "time": "2018-12-01 00:00:00/2018-12-02 00:00:00"})
    return json.JSONEncoder().encode(param)


@app.route('/SPDAS/response_analysis2', methods=['POST'])
def domain_form():
    # 需要从request对象读取表单内容：
    data = request.get_data()
    json_re = json.loads(data)
    datatype = json_re['data_type']

    effecttype = json_re['effect_type']
    m_time = json_re['time']
    str_time = str(m_time)
    m_time = str_time.split('/')
    starttime = m_time[0]
    endtime = m_time[1]
    if effecttype == 'cost_time':
        image_path = response_time_analysis.cost_time_plot(datatype=datatype, starttime=starttime, endtime=endtime)
        path = ({"response_image": image_path})
        return json.JSONEncoder().encode(path)
    else:
        image_path = response_error_analysis.error_data_statistics_plot(datatype=datatype, starttime=starttime,
                                                                        endtime=endtime,
                                                                        graphtype='bar')
        path = ({"response_image": image_path})
        return json.JSONEncoder().encode(path)


if __name__ == '__main__':
    app.run(debug=True, host='10.7.19.129', port=5000)