python plotly製做接口響應耗時的時間序列表（Time Series ）

時間 2019-11-13

標籤 python plotly 製做接口響應耗時時間序列 time series 欄目 Python 简体版

原文原文鏈接

本人在作工做中，要對某一個接口的響應耗時進行一個長期的統計，因爲以前的數據全都寫在了數據庫中，統計了半年多的數據。在學習了plotly的Time Series 時間序列圖標以後，繪製了一張接口響應耗時的圖標，分享代碼，供你們參考。html

下面是從數據庫讀取數據的java代碼：java

JSONObject data = new JSONObject();
        ResultSet resultSet = MySqlTest.excuteQuerySql("SELECT DATE(create_time),AVG(elapsed_time) *1000 FROM request_record WHERE api_name in(\"/service/user/v3/login/mobile/v5\",\"/service/user/v3/login/mobile/v4\") GROUP BY DATE(create_time) ORDER BY DATE(create_time);");
        while (resultSet.next()) {
            String name = resultSet.getString(1);
            double time = resultSet.getDouble(2);
            data.put(name, time);
        }
        resultSet.close();
        Save.saveJsonList(data, "apitime");

下面是讀取文件的方法和生成表格的調用類的代碼：python

#!/usr/bin/python
# coding=utf-8
 
from first.date import DatePlot
 
 
class Fission:
    x = []
    y = []
    z = []
 
    def __init__(self):
        print "歡迎使用fission類!"
 
    def getData(self, name):
        size = 0;
        with open("/Users/Vicky/Documents/workspace/api_test/long/" + name + ".log") as apidata:
            for i in apidata:
                data = i.split("\r\n")[0]
                time = float(data)
                if time > 2: continue
                self.z.append(data)
                size += 1;
        length = size;
        for i in range(length):
            self.x.append(name + "線程")
 
    def getDataMarkLine(self, name):
        with open("/Users/Vicky/Documents/workspace/api_test_najm/long/" + name + ".log") as apidata:
            for i in apidata:
                data = i.split("\r\n")[0].split("|")
                day = data[0]
                time = float(data[1])
                self.x.append(day)
                self.y.append(time)
        return [self.x, self.y]
 
 
if __name__ == "__main__":
    fission = Fission()
    a = fission.getDataMarkLine("apitime")
    DatePlot.MakePlot(a[0], a[1], "time")

下面是生成時間序列表的封裝類（我保留了多條折現的方法以及註釋了顯示規定日期間隔數據的方法）：數據庫

#!/usr/bin/python
# coding=utf-8
 
import plotly.graph_objs as drive
import plotly.plotly
 
 
class DatePlot:
    def __init__(self):
        print "時間表格！"
 
    @staticmethod
    def MakePlot(x, y, titile):
        a = drive.Scatter(
            x=x,
            y=y,
            name="SSSSS",
            line=dict(color='#17BECF'),
            opacity=1
        )
 
        b = drive.Scatter(
            x=["2016-02-20", "2016-02-21", "2016-02-23"],
            y=[28.04, 20, 33],
            name="AAAAA",
            line=dict(color='#7F7F7F'),
            opacity=0.8
        )
 
        data = [a]
 
        layout = dict(
            title=titile,
            # xaxis=dict(
            #     range=['2018-07-01', '2018-07-20'])
        )
        fig = dict(data=data, layout=layout)
        plotly.offline.plot(fig, filename=titile + ".html")

下面是效果圖：編程