从BUG工具redmine上获取数据后借助python模块pycha 画出BUG分析类报表
整体代码比较冗长,但是很好读。写的方法全是按照BUG分类去写的。所以写死了,凑合看吧,画出饼图,树状图和生成对应的数据excel,希望大家举一反三能帮助自己分析BUG
- #__author__ = 'xu.duan'
- # -*- coding: utf-8 -*-
- import cairo
- import pycha.pie
- import pycha.bar
- import pycha.scatter
- import pycha.stackedbar
- import pycha.line
- import time
- from redmine import Redmine
- import xlwt
- # settings redmine,redmine's url :http://python-redmine.readthedocs.org/
- def set_Redmine():
- REDMINE_URL = 'http://100.69.177.159:3000' #redmine 的地址
- REDMINE_KEY = 'b549cac9132fb3ef8b2d3ed898dfb1f123e641b2f3'#这个是自己redmine的账号
- redmine = Redmine(REDMINE_URL,key=REDMINE_KEY)
- issues = redmine.issue.all(project_id = 'hybrid-navigation',status_id='*',tracker_id=23)
- return issues
- #获取multimode的数据
- def hybrid_API_multimode():
- Low = []
- Normal = []
- High =[]
- Urgent =[]
- Immediate = []
- openlist=[]
- colselist =[]
- for i in set_Redmine():
- try:
- if str(i.category) =='hybrid-API-multimode' and str(i.priority) =="Low":
- Low.append(i)
- elif str(i.category) =='hybrid-API-multimode' and str(i.priority) =="Normal":
- Normal.append(i)
- elif str(i.category) =='hybrid-API-multimode' and str(i.priority) =="High":
- High.append(i)
- elif str(i.category) =='hybrid-API-multimode' and str(i.priority) =="Urgent":
- Urgent.append(i)
- elif str(i.category) =='hybrid-API-multimode' and str(i.priority) =="Immediate":
- Immediate.append(i)
- if str(i.category) =='hybrid-API-multimode' and str(i.status) == "New":
- openlist.append(i)
- if str(i.category) =='hybrid-API-multimode' and str(i.status) != "New":
- colselist.append(i)
- except Exception, e:
- print e
- return len(Low),len(Normal),len(High),len(Urgent),len(Immediate),len(openlist),len(colselist)
- #获取search的数据
- def hybrid_API_serach():
- Low = []
- Normal = []
- High =[]
- Urgent =[]
- Immediate = []
- openl=[]
- colsel =[]
- for i in set_Redmine():
- try:
- if str(i.category) =='hybrid-API-serach' and str(i.priority) =="Low":
- Low.append(i)
- elif str(i.category) =='hybrid-API-serach' and str(i.priority) =="Normal":
- Normal.append(i)
- elif str(i.category) =='hybrid-API-serach' and str(i.priority) =="High":
- High.append(i)
- elif str(i.category) =='hybrid-API-serach' and str(i.priority) =="Urgent":
- Urgent.append(i)
- elif str(i.category) =='hybrid-API-serach' and str(i.priority) =="Immediate":
- Immediate.append(i)
- if str(i.category) =='hybrid-API-serach' and str(i.status) =="New":
- openl.append(i)
- if str(i.category) =='hybrid-API-serach' and str(i.status) !="New":
- colsel.append(i)
- except Exception, e:
- print e
- return len(Low),len(Normal),len(High),len(Urgent),len(Immediate),len(openl),len(colsel)
- #获取route&traffic的数据
- def hybrid_API_route_traffic():
- Low = []
- Normal = []
- High =[]
- Urgent =[]
- Immediate = []
- openl=[]
- colsel =[]
- for i in set_Redmine():
- try:
- if str(i.category) =='hybrid-API-route&traffic' and str(i.priority) =="Low":
- Low.append(i)
- elif str(i.category) =='hybrid-API-route&traffic' and str(i.priority) =="Normal":
- Normal.append(i)
- elif str(i.category) =='hybrid-API-route&traffic' and str(i.priority) =="High":
- High.append(i)
- elif str(i.category) =='hybrid-API-route&traffic' and str(i.priority) =="Urgent":
- Urgent.append(i)
- elif str(i.category) =='hybrid-API-route&traffic' and str(i.priority) =="Immediate":
- Immediate.append(i)
- if str(i.category) =='hybrid-API-route&traffic' and str(i.status) =="New":
- openl.append(i)
- if str(i.category) =='hybrid-API-route&traffic' and str(i.status) !="New":
- colsel.append(i)
- except Exception, e:
- print e
- return len(Low),len(Normal),len(High),len(Urgent),len(Immediate),len(openl),len(colsel)
- #设置画布
- def set_charvalue():
- width,height=600,600
- surface=cairo.ImageSurface(cairo.FORMAT_ARGB32,width,height)
- return surface
- #画饼图
- def draw_pie(surface, options, dataSet):
- chart=pycha.pie.PieChart(surface,options)
- chart.addDataset(dataSet)
- chart.render()
- surface.write_to_png('Pie.png')
- #垂直直方图
- def draw_vertical_bar(surface, options, dataSet):
- chart=pycha.bar.VerticalBarChart(surface,options)
- chart.addDataset(dataSet)
- chart.render()
- surface.write_to_png('vertical_bar.png')
- #垂直水平直方图
- def draw_horizontal_bar(surface, options, dataSet):
- chart = pycha.bar.HorizontalBarChart(surface,options)
- chart.addDataset(dataSet)
- chart.render()
- surface.write_to_png('horizontal_bar.png')
- #线图
- def draw_line(surface, options, dataSet):
- chart = pycha.line.LineChart(surface,options)
- chart.addDataset(dataSet)
- chart.render()
- surface.write_to_png('line.png')
- #点图
- def draw_scatterplot(surface, options, dataSet):
- chart = pycha.scatter.ScatterplotChart(surface,options)
- chart.addDataset(dataSet)
- chart.render()
- surface.write_to_png('scatterplotChart.png')
- #垂直块图
- def draw_stackedverticalbarChar(surface, options, dataSet):
- chart = pycha.stackedbar.StackedVerticalBarChart(surface,options)
- chart.addDataset(dataSet)
- chart.render()
- surface.write_to_png('stackedVerticalBarChart.png')
- #垂直块图2
- def draw_stackweekChar(surface, options, dataSet):
- chart = pycha.stackedbar.StackedVerticalBarChart(surface,options)
- chart.addDataset(dataSet)
- chart.render()
- surface.write_to_png('stackweekChar.png')
- #水平块图
- def draw_stackedhorizontalbarChart(surface, options, dataSet):
- chart = pycha.stackedbar.StackedHorizontalBarChart(surface,options)
- chart.addDataset(dataSet)
- chart.render()
- surface.write_to_png('stackedhorizontalbarChart.png')
- def set_style(name,height,bold=False):
- style = xlwt.XFStyle() # 初始化样式
- font = xlwt.Font() # 为样式创建字体
- font.name = name # 'Times New Roman'
- font.bold = bold
- font.color_index = 4
- font.height = height
- # borders= xlwt.Borders()
- # borders.left= 6
- # borders.right= 6
- # borders.top= 6
- # borders.bottom= 6
- style.font = font
- # style.borders = borders
- return style
- if __name__ == '__main__':
- '''
- Function:Hybrid-BUG数据分析图
- Input:redmin
- Output: excel+PNG
- '''
- #分布图数据数据来源
- mLow,mNormal,mHigh,mUrgent,mImmediate,mopen,mcolse= hybrid_API_multimode()
- sLow,sNormal,sHigh,sUrgent,sImmediate,sopen,scolse= hybrid_API_serach()
- rLow,rNormal,rHigh,rUrgent,rImmediate,ropen,rcolse= hybrid_API_route_traffic()
- #Hybrid-bug 整体严重情况分布图数据
- totaLow = mLow+sLow+rLow
- totalNormal = mNormal+sNormal+rNormal
- totalHigh = mHigh+sNormal+rHigh
- totalUrgent = mUrgent+sUrgent+rUrgent
- totalImmediate= mImmediate+sImmediate+rNormal
- #Hybrid bug 模块状态统计数据
- mtotal = mopen+mcolse
- stotal = sopen+scolse
- rtotal = ropen+rcolse
- #Hybrid bug weekly状态统计数据
- totalopen = mopen+sopen+ropen
- totalcolse = mcolse+scolse+rcolse
- totalC = totalopen+totalcolse
- print sopen,scolse
- #画条形图
- dataSet1=(
- ('open',((0,int("%d"%mopen)),(1,int("%d"%ropen)),(2,int("%d"%sopen)))),
- ('close',((0,int("%d"%mcolse)),(1,int("%d"%rcolse)),(2,int("%d"%scolse)))),
- )
- #图像属性定义
- options1={
- 'legend':{'hide':False},
- 'title':'Hybrid bug 模块状态统计',
- 'titleColor':'#0000ff',
- 'titleFont':'字体',
- #'background':{'chartColor': '#ffffff'},
- 'axis':{
- 'x': {
- 'ticks': [dict(v=0, label='hybrid-API-multimode'),
- dict(v=1, label='hybrid-API-route&traffic'),
- dict(v=2, label='hybrid-API-serach'),],
- 'label': 'Items',
- 'labelColor':'#0000C6'
- },
- 'y': {
- 'tickCount':8,
- 'label': 'status',
- 'labelColor':'#0000C6'}
- },
- 'background': {
- 'chartColor': '#ffffff', #图表背景色
- 'baseColor': '#ffffff', #边框颜色
- 'lineColor': '#E0E0E0' #横线颜色
- },
- 'colorScheme': {
- 'name': 'fixed',
- 'args': {
- 'colors': ['#A42D00', '#227700'], #图表颜色
- },
- },
- }
- #画饼图
- dataSet2=(
- ('Low',((0,int("%d"%totaLow)),(1,int("%d"%totaLow)))),
- ('Normal',((0,int("%d"%totalNormal)),(1,int("%d"%totalNormal)))),
- ('High',((0,int("%d"%totalHigh)),(1,int("%d"%totalHigh)))),
- ('Urgent',((0,int("%d"%totalUrgent)),(1,int("%d"%totalUrgent)))),
- ('Immediate',((0,int("%d"%totalImmediate)),(1,int("%d"%totalImmediate)))),
- )
- #图像属性定义
- options2={
- 'legend':{'hide':False},
- 'title':'Hybrid bug 模块状态统计',
- 'titleColor':'#0000ff',
- 'titleFont':'字体',
- #'background':{'chartColor': '#ffffff'},
- 'axis':{'labelColor':'#FF0088'},
- 'background': {
- 'chartColor': '#ffffff', #图表背景色
- 'baseColor': '#ffffff', #边框颜色
- 'lineColor': '#E0E0E0' #横线颜色
- },
- 'colorScheme': {
- 'name': 'fixed',
- 'args': {
- 'colors': ['#FF5511', '#A42D00','#227700','#0066FF','#99FF33'], #图表颜色
- },
- },
- }
- #画week图
- dataSet3=(
- ('open',((0,int("%d"%totalopen)),(1,int("%d"%totalopen)),(2,0))),
- ('close',((0,int("%d"%totalcolse)),(1,int("%d"%totalcolse)),(2,0))),
- )
- #图像属性定义
- LastWeek = float(time.strftime("%W"+'.5'))-1
- ThisWeek = float(time.strftime("%W"+'.5'))
- NextWeek = float(time.strftime("%W"+'.5'))+1
- options3={
- 'legend':{'hide':False},
- 'title':'Hybrid weekly状态统计',
- 'titleColor':'#0000ff',
- 'titleFont':'字体',
- #'background':{'chartColor': '#ffffff'},
- 'axis':{
- 'x': {
- 'ticks': [dict(v=0, label='%s'%LastWeek),
- dict(v=1, label='%s'%ThisWeek),
- dict(v=2, label='%s'%NextWeek),],
- 'label': 'Items',
- 'labelColor':'#0000C6'
- },
- 'y': {
- 'tickCount':8,
- 'label': 'status',
- 'labelColor':'#0000C6'}
- },
- 'background': {
- 'chartColor': '#ffffff', #图表背景色
- 'baseColor': '#ffffff', #边框颜色
- 'lineColor': '#E0E0E0' #横线颜色
- },
- 'colorScheme': {
- 'name': 'fixed',
- 'args': {
- 'colors': ['#A42D00', '#227700'], #图表颜色
- },
- },
- }
- surface = set_charvalue()
- #根据需要调用不同函数画不同形状的图
- draw_pie(surface, options2, dataSet2)
- #draw_vertical_bar(surface, options, dataSet)
- #draw_horizontal_bar(surface, options, dataSet)
- #draw_scatterplot(surface, options, dataSet)
- draw_stackedverticalbarChar(surface, options1, dataSet1)
- #draw_stackweekChar(surface, options3, dataSet3)
- draw_stackedhorizontalbarChart(surface, options3, dataSet3)
- #draw_pie(surface, options, dataSet)
- f = xlwt.Workbook() #创建工作簿
- #创建sheet1
- sheet1 = f.add_sheet(u'整体严重情况分布图',cell_overwrite_ok=True) #创建sheet2
- row0 = [u'优先级&模块','hybrid-API-multimode','hybrid-API-route&traffic',u'hybrid-API-serach',u'总计']
- column0 = ['Low','Normal','High','Urgent','Immediate',]
- #生成第一行
- for i in range(0,len(row0)):
- sheet1.write(0,i,row0[i],set_style('Times New Roman',220,True))
- #生成第一列
- for i in range(0,len(column0)):
- sheet1.write(i+1,0,column0[i],set_style('Times New Roman',220))
- sheet1.write(1,1,mLow),sheet1.write(1,2,rLow),sheet1.write(1,3,sLow),sheet1.write(1,4,totaLow)
- sheet1.write(2,1,mNormal),sheet1.write(2,2,rNormal),sheet1.write(2,3,sNormal),sheet1.write(2,4,totalNormal)
- sheet1.write(3,1,mHigh),sheet1.write(3,2,rHigh),sheet1.write(3,3,sHigh),sheet1.write(3,4,totalHigh)
- sheet1.write(4,1,mUrgent),sheet1.write(4,2,rUrgent),sheet1.write(4,3,sUrgent),sheet1.write(4,4,totalUrgent)
- sheet1.write(5,1,mImmediate),sheet1.write(5,2,rImmediate),sheet1.write(5,3,sImmediate),sheet1.write(5,4,totalImmediate)
- sheet2 = f.add_sheet(u'bug模块状态统计',cell_overwrite_ok=True) #创建sheet2
- row0 = [u'模块&状态','OPEN','CLOSE',u'总计']
- column0 = ['hybrid-API-multimode','hybrid-API-route&traffic','hybrid-API-serach']
- #生成第一行
- for i in range(0,len(row0)):
- sheet2.write(0,i,row0[i],set_style('Times New Roman',220,True))
- #生成第一列
- for i in range(0,len(column0)):
- sheet2.write(i+1,0,column0[i],set_style('Times New Roman',220))
- sheet2.write(1,1,mopen),sheet2.write(1,2,mcolse),sheet2.write(1,3,mtotal)
- sheet2.write(2,1,ropen),sheet2.write(2,2,rcolse),sheet2.write(2,3,rtotal)
- sheet2.write(3,1,sopen),sheet2.write(3,2,scolse),sheet2.write(3,3,stotal)
- sheet3 = f.add_sheet(u'weekly状态统计',cell_overwrite_ok=True) #创建sheet2
- row0 = [u'总量\周','CW%s'%LastWeek,'CW%s'%ThisWeek,'CW%s'%NextWeek]
- column0 = ['OPEN','CLOSE',u'BUG总量']
- #生成第一行
- for i in range(0,len(row0)):
- sheet3.write(0,i,row0[i],set_style('Times New Roman',220,True))
- #生成第一列
- for i in range(0,len(column0)):
- sheet3.write(i+1,0,column0[i],set_style('Times New Roman',220,True))
- sheet3.write(1,1,totalopen),sheet3.write(1,2,totalopen),sheet3.write(1,3,'')
- sheet3.write(2,1,totalcolse),sheet3.write(2,2,totalcolse),sheet3.write(2,3,'')
- sheet3.write(3,1,totalC),sheet3.write(3,2,totalC),sheet3.write(3,3,'')
- #sheet1.write_merge(7,7,2,4,) #合并列单元格
- #sheet1.write_merge(1,2,4,4,) #合并行单元格
- _data =time.strftime("%Y_%m_%d", time.localtime())
- LastWeek1 = float(time.strftime("%W"+'.5'))
- f.save(r'Ninja Project Bug Statistical Analysis Report_CW%s_%s.xls'%(LastWeek,_data))
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