公司一个项目使用SQLite做数据存储，但是SQLite的数据每次修改都比较麻烦，不利于策划配置数值，于是我想到帮策划写一个Python工具，配合上shell，可以在win上进行一件转换，方便之极。
解析Excel并且生成 .Sql 文件的万能Python脚本，（中文注释，以后有时间再加）
xls2db.py
# coding=utf-8
import sys
reload(sys)
sys.setdefaultencoding( "utf-8" )
from optparse import OptionParser
import os, codecs, xlrd, collections
from jinja2 import Environment, PackageLoader
def parseInt(value):
value = str(value)
if value == "":
value = "0"
return "%s" % int(float(value))
def parseFloat(value):
value = str(value)
if value == "":
value = "0"
return "%s" % float(value)
def isUnicode(s):
return isinstance(s,unicode)
def dataType2SqlType(dataType):
dataType = dataType.strip()
ret = None
if dataType == "string":
ret = "varchar(32)"
elif dataType == "int":
ret = "int"
elif dataType == "float":
ret = "float"
elif dataType == "text":
ret = "text"
else:
print u"要求转换的数据类型是[%s]，错误" % (dataType)
pass
return ret
def data2ValueWithType(dataType,data):
dataType = dataType.strip()
ret = None
if dataType == "string":
ret = "'%s'" % data
elif dataType == "int":
ret = parseInt(data)
elif dataType == "float":
ret = parseFloat(data)
elif dataType == "text":
ret = data
else:
print u"数据转化错误 [%s]" % (dataType)
return ret
def convertSheet(sheet,baseDir):
global tables
name = sheet.name
print u"开始导出表:",name
try:
if sheet.nrows == 0:
raise ValueError(u"表没有数据行")
objname_row = sheet.row(0)
print u"表名: ",objname_row[0]
if objname_row[0].value=="":
raise ValueError(u"表头是空的")
if objname_row[1].value!="":
raise ValueError(u"表头不仅仅是一列,是多咧")
title_row = sheet.row(1)
colname_row = sheet.row(2)
coltype_row = sheet.row(3)
ingor_row = sheet.row(5)
words = collections.OrderedDict()
colnames = []
coltypes = []
coltitles = []
#print "Length:",len(colname_row)
for i in range(0,len(colname_row)):
colname = colname_row[i].value.strip()
coltype = coltype_row[i].value.strip()
coltitle = title_row[i].value.strip()
if coltype == "" or ingor_row[i].value == 0:
print u"\033[0;31m [%s]列 列名[%s] 没有指定数据类型或者Client=0，忽略该列 \033[0m" % (i,coltitle)
continue
colnames.append(colname)
coltypes.append(coltype)
coltitles.append(coltitle)
coltype = dataType2SqlType(coltype_row[i].value.strip())
if coltype == None:
print u"\033[0;31m [%s]列 存在没有制定的数据类型[%s]，默认是 TEXT \033[0m" % (i,coltype_row[i].value)
coltype = "text"
words[colname] = coltype
#print "Words: ",words
datas = []
for j in range(6,sheet.nrows):
data_row = sheet.row(j)
row = []
for k in range(0,len(data_row)):
if coltype_row[k].value.strip() == "" or ingor_row[k].value == 0:
#print u"\033[0;31m [%s]列 列名[%s] 没有指定数据类型或者Client=0，忽略该列 \033[0m" % (i,coltitle)
continue
try:
valueTmp = data_row[k].value
if isUnicode(valueTmp):
valueTmp = valueTmp.encode('utf-8')
valueTmp = data2ValueWithType(coltype_row[k].value.strip(),valueTmp)
valueTmp = valueTmp.decode('utf-8')
if valueTmp == None:
print u"\033[0;31m 解析单元格错误 [%s] 在表 [%s] 行 [%s] 列 [%s] \033[0m" % ("unknow type",name,j,colnames[k])
else:
row.append(valueTmp)
except Exception, e:
print u"\033[0;31m 解析单元格错误 [%s] 在表 [%s] 行 [%s] 列 [%s] \033[0m" % ("unknow type",name,j,colnames[k])
print u"\033[0;31m 原因:%s \033[0m" %(e)
datas.append(row)
tables[objname_row[0].value] = {"words" : words, "colnames" : colnames, "coltypes" : coltypes, "coltitles" : coltitles,"datas" : datas}
except ValueError as e:
print(u"\033[0;31m 表不合规 跳过表 [%s] \033[0m" % (name))
print u"\033[0;31m 原因:%s \033[0m" %(e)
print ""
return
print u"\033[0;32m 表 [%s] 导出成功 \033[0m" %(name)
print ""
def export2Table():
global tables
tmpl = "tables.tpl"
output = "output/tables.sql"
env = Environment(loader=PackageLoader('xls2db','template'))
template = env.get_template(tmpl)
outputData = template.render(tables = tables)
filePath = os.path.join(baseDir,output)
print "TableFilePath:",filePath
f = codecs.open(filePath,'w','utf-8')
f.write(outputData)
f.close()
def export2SqlData():
global tables
tmpl = "sqlDatas.tpl"
env = Environment(loader=PackageLoader('xls2db','template'))
template = env.get_template(tmpl)
for key,value in tables.iteritems():
print "Key: " ,key
output = "output/%s.sql" % key
print "Output:",output
outputData = template.render(tableName=key,words=value["colnames"],datas=value["datas"])
filePath = os.path.join(baseDir,output)
print "SqlDataFilePath: [%s] : %s" % (key,filePath)
f = codecs.open(filePath,'w','utf-8')
f.write(outputData)
f.close()
def export2CSharp():
global tables
tmpl = "cSharp.tpl"
env = Environment(loader=PackageLoader('xls2db','template'))
template = env.get_template(tmpl)
output = "output/SqlDataStruct.cs"
outputData = template.render(tables=tables)
filePath = os.path.join(baseDir,output)
print "CSharpFilePath: %s" % (filePath)
f = codecs.open(filePath,'w','utf-8')
f.write(outputData)
f.close()
parser = OptionParser(usage='"usage:%prog [options]"',version="%prog 1.0")
parser.add_option('-i', '--input', dest='input', help=u'-i 输入excel配置文件', action='store')
if __name__ == '__main__':
options, args = parser.parse_args()
print 'Options:', options
print 'Args:', args
print u"\033[0;32m xlc表有点大，等待一会... \033[0m"
baseDir = os.path.split(os.path.realpath(__file__))[0]
wb = xlrd.open_workbook(os.path.join(baseDir,options.input))
sheets = wb.sheets()
tables = collections.OrderedDict()
for i in range(0,len(sheets)):
sheet = sheets[i]
if sheet.name == u"语言包":
print u"\033[0;32m 检测到语言包，跳过，不倒入 \033[0m"
continue
if sheet.name == "MARK":
print u"\033[0;32m 检测到MARK表，停止导入后面的表 \033[0m"
break
convertSheet(sheet,baseDir)
# print 'Tables:',tables
export2Table()
export2SqlData()
export2CSharp()
为了满足策划的 “一键生成”策略，可以用pipy或者shell编写一个可执行文件，如果在Mac上可以直接用Python。
Shell编程扫盲：
C语言中文网
oneKey.sh
#! /bin/sh
#####################################
# #
# Usage: sh oneKey.sh XXX配置.xlsx #
# #
#####################################
cd "$(dirname "$0")"
pwd
config_file=$1
echo $config_file
if [[ ${config_file} == "" ]]; then
echo "===== Please Input Config Excel File ====="
read config_file
fi
#"获取Excel 文件名"
tmp=${config_file##*/}
tmp=${tmp%.*}
echo "==> 执行Python 解析 "$tmp".Excel"
python xls2db.py -i ${config_file}
echo "==> 生成 "$tmp".Sql文件"
#执行.sql文件
BasePath=$(cd "$(dirname "$0")";pwd)
dbPath=${BasePath}"/db"
sqlPath=${BasePath}"/output"
dbFile=${dbPath}/data.db
sqlFile=${sqlPath}/$tmp.sql
echo "==> 重写/db/"$tmp".sql"
if [[ -f $sqlFile ]]; then
cp $sqlFile $dbPath
fi
echo "Excute "$tmp".sql"
cd $dbPath
sqlite3 data.db "delete from "$tmp | echo "删除 "$tmp" 完成!"
sqlite3 data.db ".read "$tmp".sql" | echo "写入 "$tmp" 完成!"
echo "All Done!"