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debug.R
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debug.R
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# 初始化一次即可
#install.packages("RMySQL")
#install.packages("stringr")
#install.packages("readxl")
#install.packages("readr")
library("RMySQL") # 建立数据库连接
library("stringr") # 引入字符串处理包
library("readxl") # 引入excel操作包
library("readr") # 引入csv读写
################ 准备工作
# 设置工作目录
setwd("C:\\Users\\zonglin\\OneDrive - Universiteit Utrecht\\Desktop\\ecProject\\")
# 建立Mysql连接
conn = dbConnect(MySQL(), user = 'root', password = 'root', dbname = 'ecproject',host = 'localhost')
# 清空日志
if(file.exists("processRecord.csv")){
file.remove("processRecord.csv")
}
# 列出所有表（测试连接）
dbListTables(conn)
# 设置字符集，表的字符集也应为gbk
dbSendQuery(conn,'SET NAMES utf8')
# 清空目标表、重置ID起始值
dbSendQuery(conn,"TRUNCATE TABLE tb_from_excel;")
dbSendQuery(conn,"ALTER TABLE tb_from_excel AUTO_INCREMENT=1;")
# 取得数据表字段名preNames，拼接前半段
res <- dbSendQuery(conn,"select COLUMN_NAME from information_schema.COLUMNS where table_name = 'tb_from_excel'")
preNames <- data.frame(dbFetch(res))[,1]
dbClearResult(res)
preString = NULL
for(i in 2:length(preNames)){
if(i ==length(preNames)){
preString = paste(preString,paste("`",preNames[i],"`",sep=""),sep="")
break
}
preString = paste(preString,paste("`",preNames[i],"`",sep=""),",",sep="")
}
############### 封装, 解析逻辑, X方，X方国家
makeMatching <- function(fCop, fCountry, op) {
xCop = xCountry = NULL
# 匹配Cop,Country
try(xCountry <- as.list(unlist(strsplit(unlist(fCountry),split = ";")),split = ";"), silent = TRUE)
# 0.00
if(!is.na(as.numeric(xCountry))){
xCountry <- NULL
}
try(xCop <- as.list(unlist(strsplit(unlist(fCop),split = ";")),split = ";"), silent = TRUE)
if(is.null(xCop) &&is.null(xCop)){ #Cop-null, Country-null
print(paste(op," Cop-null, Country-null"))
}else if(is.null(xCountry)){ #Cop-N, Country-null
print(paste(op," Cop-N, Country-null"))
for(ix in 1:length(xCop)){
xCop[ix] = c(xCop[ix],xCountry)
}
}else if(is.null(xCop)){ #Cop-null, Country-N ?
print(paste(op," Cop-null, Country-N"))
}else{ #Cop-N, Country-M
lenCop = length(xCop)
lenCountry = length(xCountry)
if(lenCop < lenCountry){ # N < M ?
print(paste(op," Cop-N, Country-M, N < M"))
}else if(lenCop==lenCountry){ # N = M
print(paste(op," Cop-N, Country-M, N = M"))
for(iy in 1:lenCop){
xCop[iy] = paste(xCop[iy],xCountry[iy],sep = ";")
}
}else{ # N > M
print(paste(op," Cop-N, Country-M, N > M"))
for(iy in 1:lenCop){
if(iy >lenCountry){
xCop[iy] = paste(xCop[iy],xCountry[lenCountry],sep = ";")
}else{
xCop[iy] = paste(xCop[iy],xCountry[iy],sep = ";")
}
}
}
}
xCop
}
################### 封装，读Excel，规则解析，构造sql并插入
################## 最上层大循环，文件读取 #############
# 开始操作读取文件
# 列出全部年份文件夹
nameAllFolders = list.files("io_Input_Excel_Folder")
rst = c(0,0,0)
canOpen<-array()
index = 0
# 遍历每个文件夹（构造访问路径，进入，列出xls，构造访问文件路径，访问）
for( folder in nameAllFolders){
pathFolder = paste("io_Input_Excel_Folder\\",folder,"\\", sep = "")
nameAllExcels = list.files(pathFolder)
for( excel in nameAllExcels){
if(str_ends(excel, ".xls")||str_ends(excel, ".xlsx")){
pathExcel = paste(pathFolder,excel, sep = "")
print(pathExcel)
content <- NULL
try(content <- readxl::read_excel(pathExcel), silent = TRUE)
if(is.null(content)){
canOpen[index] = str_c("× ",folder,"\\",excel,sep="")
}else{
canOpen[index] = str_c("√ ",folder,"\\",excel,sep="")
######### 正常读取、解析 ########
tmpPath = str_c("io_Input_Excel_Folder\\",folder,"\\",excel,sep="")
if("io_Input_Excel_Folder\\2016年1-10月\\2016-08.xlsx" == tmpPath){ # 限定单个文件测试
#"\\io_Input_Excel_Folder\\2016年1-10月\\re2016-03.xls"
edata <- readxl::read_excel(tmpPath)
edata <- edata[30:40,] ######## 只实验6条记录
View(edata)
# 探测数据起始行终止行
i = 1
iStartRow = iEndRow = 0
sucs = errr = 0
flag = TRUE
while(TRUE){
if(!is.na(as.numeric(edata[,1][i,]))){
if(flag){
iStartRow = i
flag = FALSE
}
}
if(is.na(as.numeric(edata[,1][i,])) && !flag){
iEndRow = i-1
print(i)
break
}
i = i + 1
}
################## 构造SQL，买方6、买方国家7、卖方9、卖方国家15
colNum = length(as.list(edata[1,]))
if(colNum != 73){
print(paste("Columns Number Error: ",colNum,", Not 73!"))
}else{
endSqlArr = array()
endSqlCounter= 1;
for (i in iStartRow:iEndRow){
# i =2 只实验一条的解析
endString =NULL
for(j in 2:colNum){
if(j==colNum){
endString <- paste(endString,"'",str_replace_all(unlist(as.list(edata[i,][j])),"'","’"),"'",sep="")
break
}else if(j == 6){ endString <- paste(endString,"'@@@@@6B'",",",sep="")}
else if(j == 7){ endString <- paste(endString,"'@@@@@7C'",",",sep="")}
else if(j == 9){ endString <- paste(endString,"'@@@@@9S'",",",sep="")}
else if(j == 15){ endString <- paste(endString,"'@@@@@15C'",",",sep="")}
else{ endString <- paste(endString,"'",str_replace_all(unlist(as.list(edata[i,][j])),"'","’"),"'",",",sep="")}
}
#获取合并后的买卖方+国家
i=2
pBuyer = makeMatching(edata[i,6],edata[i,7],op="Buyer")
pSeller = makeMatching(edata[i,9],edata[i,15],op="Seller")
if(is.null(pBuyer) && is.null(pSeller)){
print("pBuyer-null, pSeller-null")
tmp = NULL
tmp = str_replace(endString,"@@@@@6B", "NA")
tmp = str_replace(tmp,"@@@@@7C", "NA")
tmp = str_replace(tmp,"@@@@@9S", "NA")
tmp = str_replace(tmp,"@@@@@15C", "NA")
endSqlArr[endSqlCounter] = endString
endSqlCounter = endSqlCounter +1
}else if(is.null(pBuyer)){
print("pBuyer-null")
for(iS in 1:length(pSeller)){
tmp = NULL
tmp = str_replace(endString,"@@@@@6B", "NA")
tmp = str_replace(tmp,"@@@@@7C", "NA")
tmp = str_replace(tmp,"@@@@@9S", str_split(pSeller[iS],";")[[1]][1])
if(is.na(str_split(pSeller[iS],";")[[1]][2])){
tmp = str_replace(tmp,"@@@@@15C","NA")
} else {
tmp = str_replace(tmp,"@@@@@15C",str_split(pSeller[iS],";")[[1]][2])
}
endSqlArr[endSqlCounter] = endString
endSqlCounter = endSqlCounter +1
}
}else if(is.null(pSeller)){
print("pSeller-null")
for(iB in 1:length(pBuyer)){
tmp = NULL
tmp = str_replace(endString,"@@@@@6B", str_split(pBuyer[iB],";")[[1]][1])
if(is.na(str_split(pBuyer[iB],";")[[1]][2])){
tmp = str_replace(tmp,"@@@@@7C", "NA")
} else {
tmp = str_replace(tmp,"@@@@@7C", str_split(pBuyer[iB],";")[[1]][2])
}
tmp = str_replace(tmp,"@@@@@9S", "NA")
tmp = str_replace(tmp,"@@@@@15C","NA")
endSqlArr[endSqlCounter] = endString
endSqlCounter = endSqlCounter +1
}
}else{ # normal
print("p-Normal")
for(iB in 1:length(pBuyer)){
for(iS in 1:length(pSeller)){
iB = iS = 1
tmp = NULL
tmp = str_replace(endString,"@@@@@6B", str_split(pBuyer[iB],";")[[1]][1])
if(is.na(str_split(pBuyer[iB],";")[[1]][2])){
tmp = str_replace(tmp,"@@@@@7C", "NA")
} else {
tmp = str_replace(tmp,"@@@@@7C", str_split(pBuyer[iB],";")[[1]][2])
}
tmp = str_replace(tmp,"@@@@@9S", str_split(pSeller[iS],";")[[1]][1])
if(is.na(str_split(pSeller[iS],";")[[1]][2])){
tmp = str_replace(tmp,"@@@@@15C","NA")
} else {
tmp = str_replace(tmp,"@@@@@15C",str_split(pSeller[iS],";")[[1]][2])
}
endSqlArr[endSqlCounter] = tmp
endSqlCounter = endSqlCounter +1
}
}
}
print(paste("length(endSqlArr) = ",length(endSqlArr)))
}
for(index in 1:length(endSqlArr)){
finalSqlString = paste("INSERT INTO tb_from_excel(",preString,") values (",endSqlArr[index],")",sep="")
ac = NULL
try(ac <- dbSendQuery(conn,finalSqlString), silent=TRUE)
if(is.null(ac)){
ac = "● Failed"
errr = errr + 1
write(paste(ac,finalSqlString,sep=" "),"processRecord.csv",append = TRUE)
}else{
ac = "Accepted"
sucs = sucs + 1
}
}
write(paste("Summary: ","File > ",tmpPath,", ",iStartRow," : ",iEndRow,sep=""),"processRecord.csv",append = TRUE)
write(paste("Summary: ","Excuted ",length(endSqlArr)," SQLs",sep=""),"processRecord.csv",append = TRUE)
write(paste("Summary: ",sucs," Success, ",errr," Failed, ",(sucs/length(endSqlArr))*100,"% Accepted",sep=""),"processRecord.csv",append = TRUE)
write(paste("Summary: ",">>>>>>>>>>>>>>>>>>>>>>>>>>>>>>",sep=""),"processRecord.csv",append = TRUE)
write(paste("Summary: ",sep=""),"processRecord.csv",append = TRUE)
}
tmp = c(sucs,errr,length(endSqlArr))
rst = c(rst[1]+tmp[1],rst[2]+tmp[2],rst[3]+tmp[3])
}
}
index = index + 1
}
}
}
write(paste("Finally: ",sep=""),"processRecord.csv",append = TRUE)
write(paste("Finally: ","The whole proccess excuted ",rst[3]," SQLs",sep=""),"processRecord.csv",append = TRUE)
write(paste("Finally: (All together) ",rst[1]," Success, ",rst[2]," Failed, ",(rst[1]/rst[3])*100,"% Accepted",sep=""),"processRecord.csv",append = TRUE)
write(paste("Finally: ","Transfer data from Excel to Mysql..",sep=""),"processRecord.csv",append = TRUE)
write(paste("Finally: Finished...",sep=""),"processRecord.csv",append = TRUE)
canOpen = data.frame(canOpen)
View(canOpen)
write.csv(canOpen,"testExcelOpenStatus.csv")
# 收尾
dbDisconnect(conn)