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cloud_in_callfail.py
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cloud_in_callfail.py
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# -*-- encoding=utf-8 --*-
import pandas as pd
import xlsxwriter
import os
import platform
from pandas import ExcelWriter
from util import main_function,plot_trend
def __read_one_csv_file(inCsvFileName):
try:
callFailData=pd.read_csv(inCsvFileName,
dtype={'呼叫对方号码': object,'运营商': object,
'imei': object,'起呼位置码': object,
'起呼基站编号': object,'结束位置码': object,
'结束基站编号': object,'isim支持情况': object},low_memory=False)
#print(callFailData.columns)
#print(callFailData.shape)
return callFailData
except:
return None
def __read_csv_directory(inCsvFileName):
callFailDataList=[]
absPath=os.path.abspath(inCsvFileName)
print(absPath)
for li in os.listdir(absPath):
print(li)
sysstr = platform.system()
#print('current OS is '+sysstr)
if(sysstr =="Windows"):
oldName=absPath+'\\'+li
elif(sysstr == "Linux"):
oldName=absPath+'/'+li
else:
oldName=absPath+'/'+li
callFailData1=__read_one_csv_file(oldName)
if callFailData1 is not None:
callFailDataList.append(callFailData1)
callFailData = callFailDataList[0]
for i in range(1,len(callFailDataList)):
callFailData = callFailData.append(callFailDataList[i], ignore_index=True)
print(callFailData.shape)
return callFailData
def __clean_data_all_data(callFailData):
#'内部机型', '外部机型', '系统版本', 'emmcid', 'imei', '地区码', '发生时间', '上报时间', '异常进程名', '进程版本名',
# '进程版本号', '异常进程包名', '软件系统类型', '国家', '省/直辖市', '市', '县/区', '详细地址', '异常类型', '出现异常的卡',
# '失败原因', '呼入呼出', '起呼位置码', '起呼基站编号', '起呼电话网络', '开始数据网络', '运营商', '结束位置码',
# '结束基站编号', '结束电话网络', '结束数据网络', 'isim支持情况', 'MBN版本信息', 'VOLTE配置信息', '是否volte',
# '呼叫对方号码', '保留字段一', '保留字段二', '异常次数', '日志路径', 'log信息'
rowLength_before=callFailData.shape[0]
#---原始数据,只是填充null,无任何过滤
callFailData=callFailData.fillna('null')
#---只是过滤掉正常的原因(网络释放原因)
fp=open(os.path.join(os.path.abspath('.'),'config','remove_items.txt'),'r')
allines=fp.readlines()
for cause in allines:
callFailData=callFailData[callFailData['失败原因'].apply(lambda x: x!=cause.strip())]
print('-----------------------------------'+str(callFailData.shape[0]))
shape_after_remove_cause=callFailData.shape[0]
#---移除测试的PLMN
callFailData = callFailData.loc[(callFailData["运营商"] != "99901") &
(callFailData["运营商"] != "00000") &
(callFailData["运营商"] != "00101") &
(callFailData["运营商"] != "123456") &
(callFailData["运营商"] != "null")]
#---起呼位置码 0、1
callFailData=callFailData[callFailData['起呼位置码'].apply(lambda x: x.strip() != 0)]
callFailData=callFailData[callFailData['起呼位置码'].apply(lambda x: x.strip() != 1)]
callFailData=callFailData[callFailData['起呼位置码'].apply(lambda x: x.strip() != '0')]
callFailData=callFailData[callFailData['起呼位置码'].apply(lambda x: x.strip() != '1')]
#---结束位置码 0、1
callFailData=callFailData[callFailData['结束位置码'].apply(lambda x: x.strip() != 0)]
callFailData=callFailData[callFailData['结束位置码'].apply(lambda x: x.strip() != 1)]
callFailData=callFailData[callFailData['结束位置码'].apply(lambda x: x.strip() != '0')]
callFailData=callFailData[callFailData['结束位置码'].apply(lambda x: x.strip() != '1')]
#---起呼基站编号 0、1
callFailData=callFailData[callFailData['起呼基站编号'].apply(lambda x: x.strip() != 0)]
callFailData=callFailData[callFailData['起呼基站编号'].apply(lambda x: x.strip() != 1)]
callFailData=callFailData[callFailData['起呼基站编号'].apply(lambda x: x.strip() != '0')]
callFailData=callFailData[callFailData['起呼基站编号'].apply(lambda x: x.strip() != '1')]
#---结束基站编号 0、1
callFailData=callFailData[callFailData['结束基站编号'].apply(lambda x: x.strip() != 0)]
callFailData=callFailData[callFailData['结束基站编号'].apply(lambda x: x.strip() != 1)]
callFailData=callFailData[callFailData['结束基站编号'].apply(lambda x: x.strip() != '0')]
callFailData=callFailData[callFailData['结束基站编号'].apply(lambda x: x.strip() != '1')]
#---起呼电话网络 UNKNOWN
callFailData=callFailData[callFailData['起呼电话网络'].apply(lambda x: x != 'UNKNOWN')]
callFailData = callFailData.loc[(callFailData["imei"] != "123456789012345")]
#---添加辅助分析项
callFailData['PLMN_LAC1_CID1']=callFailData['运营商'].str.cat(callFailData['起呼位置码'],sep='/').str.cat(callFailData['起呼基站编号'],sep='/')
callFailData['PLMN_LAC2_CID2']=callFailData['运营商'].str.cat(callFailData['结束位置码'],sep='/').str.cat(callFailData['结束基站编号'],sep='/')
callFailData['CS_NW']=callFailData['起呼电话网络'].str.cat(callFailData['结束电话网络'],sep='/')
callFailData['PS_NW']=callFailData['开始数据网络'].str.cat(callFailData['结束数据网络'],sep='/')
callFailData['CS_PS_NW']=callFailData['CS_NW'].str.cat(callFailData['PS_NW'],sep='/')
callFailData['PLMN_CS1'] = callFailData['运营商'].str.cat(callFailData['起呼电话网络'], sep='/')
callFailData['PLMN_CS_NW'] = callFailData['运营商'].str.cat(callFailData['CS_NW'], sep='/')
callFailData['PLMN_PS_NW'] = callFailData['运营商'].str.cat(callFailData['PS_NW'], sep='/')
callFailData['PLMN_CS_PS_NW'] = callFailData['运营商'].str.cat(callFailData['CS_PS_NW'], sep='/')
callFailData['机型-版本'] = callFailData['外部机型'].str.cat(callFailData['系统版本'], sep='/')
callFailData['省直辖市']=callFailData['省/直辖市']
callFailData['县区']=callFailData['县/区']
callFailData['市1']=callFailData['省直辖市'].str.cat(callFailData['市'],sep='-')
callFailData['县区1']=callFailData['市1'].str.cat(callFailData['县区'],sep='-')
callFailData['通话状态']=callFailData['呼叫对方号码'].apply(__removeStateSpace)
callFailData['信号强度']=callFailData['isim支持情况'].apply(__getRSRP)
callFailData['发生时间t']=pd.to_datetime(callFailData['发生时间'],infer_datetime_format=True)
callFailData['发生时间h']=callFailData['发生时间t'].apply(__getHour)
callFailData['出现异常的卡']=callFailData['出现异常的卡'].apply(__replace_sim)
callFailData['机型']=callFailData['外部机型']
#PD1635 PD1616B PD1619 PD1624 PD1616
#callFailData = callFailData[callFailData['机型'] == 'PD1619']
#callFailData = callFailData[callFailData['失败原因'] == 'CALL_END_CAUSE_FADE_V02']
callFailData['通话类型'] = callFailData['CS_NW'].str.cat(callFailData['是否volte'], sep='/')
callFailData['通话类型1'] = callFailData['PLMN_CS_NW'].str.cat(callFailData['是否volte'], sep='/')
callFailData['cause-state'] = callFailData['失败原因'].str.cat(callFailData['通话状态'], sep='/')
callFailData['CS_sig'] = callFailData['通话类型'].str.cat(callFailData['信号强度'], sep='/')
callFailData['cause_cs_sig'] = callFailData['失败原因'].str.cat(callFailData['CS_sig'], sep='/')
#---drop没有利用价值的项
data_every_file1=callFailData.drop(['外部机型','内部机型','emmcid','地区码','上报时间','异常进程名','进程版本名',
'进程版本号','异常进程包名','软件系统类型','异常类型','isim支持情况',
'MBN版本信息','VOLTE配置信息','呼叫对方号码','保留字段一','保留字段二',
'异常次数','日志路径','log信息','省/直辖市','县/区','发生时间','市',
'县区','发生时间t','机型-版本','起呼位置码','结束位置码','起呼基站编号','结束基站编号',
'结束电话网络','结束数据网络','PS_NW','CS_PS_NW',
'PLMN_PS_NW','PLMN_CS_PS_NW','发生时间h','市1','县区1',
],axis=1)
rowLength_after=callFailData.shape[0]
print('数据清洗之后...'+str(rowLength_after)+'/'+str(rowLength_before))
return data_every_file1,data_every_file1,shape_after_remove_cause
def __get_mcc(name):
return(name[:3])
def __replace_sim(sim):
if(sim==1):
return '卡1'
elif(sim==2):
return '卡2'
else:
return 'null'
def __getHour(name):
returnName=name.to_pydatetime().hour
return returnName
def __getRSRP(name):
returnName = name.strip()
rsrp_list = []
returnValue = 0
if(name=='-1' or name=='null'):
returnValue = str(-1)
else:
rsrp_list = returnName.split(',')
min = 0
for i in rsrp_list[:-2]:
temp = eval(i)
if(min > temp):
min = temp
returnValue = int(min / 5) * 5
return str(returnValue)
def __removeStateSpace(name):
returnName=name.strip()
if(' ' in name):
returnName=','.join(name.split(' '))
else:
pass
return returnName
def __process_zhejiang_IMEI(callFailData,path,file_pre):
model_list_fp=open(os.path.join(os.path.abspath('.'),'config','云诊断内销浙江统计机型列表.txt'),'r')
modelList=[]
for model in model_list_fp.readlines():
modelList.append(model.strip())
xls_fileName=os.path.join(path,file_pre+'_数据分析结果_浙江IMEI.xls')
workbook = xlsxwriter.Workbook(xls_fileName)
#---对每一个型号进行过滤和对比
#如果包含在写入excel表格
list_result=[]
for model in modelList:
model0=model.split('_')[0]
model1=model.split('_')[1]
worksheet = workbook.add_worksheet(model)
worksheet.set_column('A:A',20)
before=str(callFailData.shape[0])
callFailData_after=callFailData[callFailData['外部机型']==model0]
after=str(callFailData_after.shape[0])
print('开始过滤'+model+'...'+after+'/'+before)
#获取dataframe中的所有IMEI数据
imeiList_a=[]
for imei in callFailData_after['imei'].tolist():
imeiList_a.append(str(imei).strip())
#获取文件中浙江的IMEI列表
imeiList_b=[]
fileName=os.path.join('.','zhejiang_imei',model1+'.txt')
imeiFile_fp=open(fileName,'r')
imei_zhejiang=imeiFile_fp.readlines()
for imei in imei_zhejiang:
imeiList_b.append(imei.strip())
#获得浙江IMEI列表和dataframe IMEI中的交集
IMEI_intersection=list(set(imeiList_a).intersection(set(imeiList_b)))
#print('a='+str(len(imeiList_a))+',b='+str(len(imeiList_b))+',intersection='+str(len(IMEI_intersection)))
#按照dataframe的数量排序,获取浙江输出到excel
callFailData_IMEI=callFailData_after['imei'].value_counts()
allIMEI=callFailData_IMEI.index.tolist()
row_i=0
for imei_i in range(len(allIMEI)):
for imei_filtered in IMEI_intersection:
if(imei_filtered==allIMEI[imei_i]):
worksheet.write(row_i,0,imei_filtered)
worksheet.write(row_i,1,callFailData_IMEI.values[imei_i])
list_result.append((imei_filtered,callFailData_IMEI.values[imei_i]),)
row_i += 1
#---对所有过滤出来的浙江IMEI计算Top
print('ouput all...')
worksheet = workbook.add_worksheet('all')
worksheet.set_column('A:A',20)
mylist=sorted(list_result,key=lambda t:t[1],reverse=True)
for i in range(len(mylist)):
worksheet.write(i,0,mylist[i][0])
worksheet.write(i,1,mylist[i][1])
workbook.close()
length_mylist=0
if(len(mylist) < 1):
callFailData_internal = pd.DataFrame(columns=callFailData.columns)
else:
if(len(mylist) < 10):
length_mylist=len(mylist)
else:
length_mylist=10
callFailDataList=[]
for i in range(length_mylist):
callFailData_internal=callFailData[callFailData['imei']==mylist[i][0]]
callFailDataList.append(callFailData_internal)
callFailData_internal = pd.DataFrame(columns=callFailData.columns)
for i in range(1,len(callFailDataList)):
callFailData_internal = callFailData_internal.append(callFailDataList[i], ignore_index=True)
xls_fileName1=os.path.join(path,file_pre+'_数据分析结果_浙江IMEI详细信息.xlsx')
writer = ExcelWriter(xls_fileName1)
callFailData_internal.to_excel(writer,'data')
writer.save()
def __process_trial_IMEI(callFailData,path,inCsvFileName_head):
modelList=[]
for model in open(os.path.join('.','config','云诊断内销掉话试用机列表.txt'),'r').readlines():
modelList.append(model.strip())
xls_fileName=os.path.join(path,inCsvFileName_head+'_数据分析结果_试用机IMEI.xls')
workbook = xlsxwriter.Workbook(xls_fileName)
xls_fileName1=os.path.join(path,inCsvFileName_head+'_数据分析结果_试用机IMEI详细信息.xlsx')
writer = ExcelWriter(xls_fileName1)
#---对每一个试用机机型进行过滤和比对
for model in modelList:
model0=model.split('_')[0]
model1=model.split('_')[1]
worksheet = workbook.add_worksheet(model)
before=str(callFailData.shape[0])
private_callFailData=callFailData[callFailData['外部机型']==model0]
after=str(private_callFailData.shape[0])
print('开始过滤'+model+'...'+after+'/'+before)
imeiList_a=[]
for imei in private_callFailData['imei'].tolist():
imeiList_a.append(str(imei).strip())
fileName=os.path.join(os.path.abspath('.'),'trial_imei',model1+'.txt')
imeiFile_fp=open(fileName,'r')
imeiList_b=[]
for imei in imeiFile_fp.readlines():
imeiList_b.append(imei.split()[0].strip())
imeiList_b.append(imei.split()[1].strip())
IMEI_intersection=list(set(imeiList_a).intersection(set(imeiList_b)))
print('a='+str(len(imeiList_a))+',b='+str(len(imeiList_b))+'intersection='+str(len(IMEI_intersection)))
private_callFailData1=pd.DataFrame(columns=callFailData.columns)
for imei_i in range(len(IMEI_intersection)):
worksheet.write(imei_i,0,IMEI_intersection[imei_i])
private_callFailData1=private_callFailData1.append(private_callFailData[callFailData['imei']==IMEI_intersection[imei_i]])
private_callFailData1.to_excel(writer,model)
writer.save()
def cloud_in_callfail_main(path_raw_data,path_result):
main_function('云诊断内销掉话', path_raw_data, path_result, __read_one_csv_file, __read_csv_directory,
__clean_data_all_data)
def cloud_in_call_fail_plot_trend(path_raw_data,path_result):
sheet_name_list=['SIM卡', '失败原因', '呼入或呼出', '运营商', '电话网络', '发生时间h', '机型', '系统版本', 'PLMN_CS']
trend_dics_list={}
trend_dics_list['出现异常的卡']=['卡1','卡2']
trend_dics_list['通话类型1'] = ['46000/GSM/GSM/CS', '46001/UMTS/UMTS/CS',
'46000/LTE/GSM/CS', '46000/LTE/LTE/VOLTE',
'46011/CDMA - 1xRTT/CDMA - 1xRTT/CS']
trend_dics_list['失败原因']=['CALL_END_CAUSE_RECOVERY_ON_TIMER_EXPIRED_V02', 'CALL_END_CAUSE_FADE_V02', 'CALL_END_CAUSE_RADIO_LINK_LOST_V02', 'CALL_END_CAUSE_UNSPECIFIED_16', 'CALL_END_CAUSE_REQUEST_TERMINATED_V02']
trend_dics_list['呼入呼出']=['In','Out']
trend_dics_list['运营商']=['46000','46001','46011','46003']
trend_dics_list['是否volte']=['CS','VOLTE','VILTE']
trend_dics_list['系统版本']=['PD1616B_A_1.6.18', 'PD1616B_A_1.7.1', 'PD1616B_A_1.7.7', 'PD1616B_A_1.7.8', 'PD1616B_A_1.7.10', 'PD1616B_A_1.7.13', 'PD1616B_A_1.8.5', 'PD1616B_A_1.8.9']
trend_dics_list['机型']=['PD1635','PD1624','PD1616B','PD1619','PD1610','PD1616']
#
trend_dics_list['CS_NW']=['GSM/GSM','UMTS/UMTS','LTE/LTE','LTE/GSM','LTE/UMTS']
trend_dics_list['省直辖市']=['广东省','河南省','甘肃省','江苏省','河北省','山西省','浙江省','新疆维吾尔自治区',
'广西壮族自治区','安徽省','山东省','福建省','湖南省','贵州省','陕西省','云南省',
'黑龙江省','四川省','吉林省','辽宁省','湖北省','内蒙古自治区','宁夏回族自治区',
'北京市','上海市','江西省','重庆市','青海省','海南省','天津市','西藏自治区']
plot_trend('云诊断内销掉话', path_raw_data, path_result, trend_dics_list)
if __name__ == '__main__':
path=os.path.abspath('D:/tools/pycharm_projects/bigdata_analysis/cloud_in_callfail_raw_data/cloud_in_callfail_raw_data_weeks/test')
cloud_in_callfail_main(path,path)