提交文件代码

This commit is contained in:
halliday 2023-10-25 16:34:21 +08:00
parent a1f389f255
commit e0cbb1d5a3
7 changed files with 211 additions and 184 deletions

2
.gitignore vendored
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@ -160,3 +160,5 @@ cython_debug/
# option (not recommended) you can uncomment the following to ignore the entire idea folder.
#.idea/
/.vscode
/data/

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@ -1,180 +0,0 @@
# -*- coding:utf-8 -*-
from __future__ import unicode_literals
import os
import io
import _load
import shutil
import time
import xlrd
from fnmatch import fnmatch
from jinja2 import Environment, PackageLoader
#处理py2的编码和字典顺序的问题
#from __future__ import unicode_literals --必须放在第一个
from collections import OrderedDict
class xl2fe:
def __init__(self):
HERE = os.path.dirname(__file__)
TOP = os.path.join(HERE, "..")
self.templates_dir = os.path.join(TOP, "templates")
self.output_dir = os.path.join(TOP, "output")
if os.path.exists(self.output_dir):
shutil.rmtree(self.output_dir)
time.sleep(2)
os.mkdir(self.output_dir)
self.excel_files_dir = os.path.join(TOP, "excel_files")
self.xlsx_sheets = {"封面": "00_home_index.feature",
"统计表": "01_statistics.feature",
"基础功能测试用例": "02_function.feature",
"异常测试": "03_abnormality_test.feature",
"性能测试": "04_performance.feature"
}
def read_xlsx(self):
"""
指定的sheet页对内容进行处理
"""
#获取所有的数据
work_book = xlrd.open_workbook(self.xlsx_file_path)
#为了让py2字典的顺序与py3一致
all_data = OrderedDict()
for i, sheet_obj in enumerate(work_book.sheets()):
all_data[sheet_obj.name] = [sheet_obj.row_values(row)
for row in range(sheet_obj.nrows)]
#按sheet页处理
for sheet_name, self.feature_name in self.xlsx_sheets.items():
datas = all_data[sheet_name]
# 处理数据
self.context = OrderedDict()
self.context = xl2fe.get_feature_data(self, datas, sheet_name)
# 渲染模板
xl2fe.feature_tpl(self)
def get_feature_data(self, datas, sheet_name):
"""
根据sheet_name 处理数据
"""
context_temp = OrderedDict()
if sheet_name == "封面":
context_temp['project'] = self.project
context_temp['sheet_name'] = sheet_name
# 处理更新记录
Scenario_table = []
lines = datas[4:]
for line in lines:
cells = line
# 处理换行
for index, cell in enumerate(cells):
#因为py2的编码问题不能判断str
#isinstance(cell,str)
if not isinstance(cell,(int,float)):
cells[index] = cell.replace('\n', '\\n')
Scenario_table.append(cells)
context_temp['Scenario_table'] = Scenario_table
elif sheet_name == "统计表":
context_temp['project'] = self.project
context_temp['sheet_name'] = sheet_name
elif sheet_name == "基础功能测试用例":
context_temp['project'] = self.project
context_temp['sheet_name'] = sheet_name
# 处理基础测试用例中的数据
Scenario_table = OrderedDict()
lines = datas[2:]
for line in lines:
cells = line[0:9]
#补全合并单元格的信息
#模块
if cells[0]:
model = cells[0]
else:
cells[0] = model
#子模块
if cells[1]:
sub_model = cells[1]
else:
cells[1] = sub_model
#处理编号
if '-ST-' in cells[2]:
cells[2] = 'NUM'
# 处理换行
for index, cell in enumerate(cells):
if not isinstance(cell,(int,float)):
cells[index] = cell.replace('\n', '\\n')
#以模块为单位存储
if model not in list(Scenario_table.keys()):
Scenario_table[model] = []
Scenario_table[model].append(cells)
context_temp['Scenario_table'] = Scenario_table
elif sheet_name == "异常测试":
context_temp['project'] = self.project
context_temp['sheet_name'] = sheet_name
# 处理更新记录
Scenario_table = []
lines = datas[4:]
for line in lines:
cells = line[0:8]
cells[0] = 'NUM'
# 处理换行
for index, cell in enumerate(cells):
if not isinstance(cell,(int,float)):
cells[index] = cell.replace('\n', '\\n')
Scenario_table.append(cells)
context_temp['Scenario_table'] = Scenario_table
elif sheet_name == "性能测试":
context_temp['project'] = self.project
context_temp['sheet_name'] = sheet_name
return context_temp
def feature_tpl(self):
"""
拿处理后的数据来渲染指定的模板
"""
# 读取模板
tpl = os.path.join(self.templates_dir, self.feature_name + ".j2")
tpl_data = io.open(tpl, encoding="utf-8").read()
# 渲染模板
env = Environment()
text = env.from_string(tpl_data).render(self.context)
# 保存文件
xl2fe.save_feature(self, text)
def save_feature(self, text):
"""
保存渲染好的模板为feature文件
"""
#为了解决windows换行符的问题转为二进制主要是由于py2中open不支持newline参数
#py2没有bytes()函数
#text_bytes = bytes(text,'utf-8')
text_bytes = text.encode('utf-8')
feature_path = os.path.join(self.project_dir, self.feature_name)
# 写入文件
with open(feature_path, 'wb+') as fp:
fp.write(text_bytes)
def main(self):
xlsx_files = os.listdir(self.excel_files_dir)
for xlsx_file in xlsx_files:
# 排除掉非xlsx结尾的文件
if not fnmatch(xlsx_file, "*.xlsx"):
continue
self.project = xlsx_file.split('_')[0]
self.xlsx_file_path = os.path.join(self.excel_files_dir, xlsx_file)
# 按项目存放
self.project_dir = os.path.join(self.output_dir, self.project)
os.mkdir(self.project_dir)
xl2fe.read_xlsx(self)
if __name__ == '__main__':
test_env = xl2fe()
test_env.main()

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bin/faker_data.py Normal file
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#encoding=utf-8
import csv
from faker import Faker
"""
生成尽可能真实的假数据
使用方法
1.安装依赖包
pip install faker
2.执行脚本
python faker_data.py
3.当前目录查看生成的数据
"""
#保存为csv文件
def save_data_csv(file_name,lines=50000):
#获取数据
datas = faker_data(lines)
#保存
with open(file_name,'w+',encoding='utf-8',newline='') as file_csv:
writer = csv.writer(file_csv, delimiter=',', quotechar='"', quoting=csv.QUOTE_ALL)
writer.writerows(datas)
#生成数据
def faker_data(lines=10):
#指定数据的国家地区
f = Faker('zh-CN')
#定义一个列表,用来存放所有数据
datas = []
#标题
title = ["uuid","id","name","mobile","ssn","sex","email","job","address","actime_time"]
#title2 = ["唯一标识","编号","姓名","手机号","身份证号","性别","邮箱","职业","家庭地址","获取时间"]
#添加标题到列表中
datas.append(title)
#datas.append(title2)
#开始按照标题的顺序生成5w条数据
for i in range(0,lines):
#定义一个列表,用来存一行数据
data = []
#uuid
data.append(f.uuid4())
#编号001不足3位的左边用0来补齐
data.append(str(i+1).rjust(3,'0'))
#姓名
data.append(f.name())
#手机号
data.append(f.phone_number())
#身份证
ssn = f.ssn()
data.append(ssn)
#性别根据身份证的第17位来判断
ssn_sex = int(ssn[16:17])
#0102
if ssn_sex % 2:
sex = "01"
else:
sex = "02"
data.append(sex)
#邮箱
data.append(f.email())
#职业
data.append(f.job())
#地址,让其更加复合中国的地址
address = f.address()[:-9] + str(f.pyint(min_value=0, max_value=999))+ ""
data.append(address)
#获取时间近3年的
actime_time = f.date_time_between(start_date="-3y", end_date="now")
data.append(actime_time)
#将这一行数据添加到datas中
datas.append(data)
#返回所有的数据
return datas
if __name__ == '__main__':
#文件名
file_name = 'test.csv'
save_data_csv(file_name)

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bin/fileDataCreating.py Normal file
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# -*- coding:utf-8 -*-
import faker_data
import shutil
import csv
from schedule import every, repeat, run_pending
from pathlib import Path
from datetime import datetime
from random import choice
"""
说明
1. 用于文件的持续创建写入修改和创建
2. 输出目录为data会在里面创建当天的子目录
3. 每1小时生成一个10M大小左右的csv文件
4. 每2秒向上面的文件中写入10条数据
5. 每10分钟从当天的文件中随机找个1个文件删除前100条数据
6. 每6小时从所有的文件中随机删除1个文件
"""
# 定义公共的部分
path = Path(__file__)
data_dir = path.parent.parent / "data"
# 初始化目录
if not data_dir.exists():
# shutil.rmtree(data_dir)
data_dir.mkdir()
# 定义文件的信息
def file_info():
file_info_list = []
now = datetime.now()
now_day = now.strftime("%Y-%m-%d")
now_hours = now.strftime("%Y-%m-%d-%H")
today_dir = data_dir/now_day
filename = "filetest_" + now_hours + ".csv"
filepath = today_dir/filename
file_info_list.append(now_day)
file_info_list.append(now_hours)
file_info_list.append(today_dir)
file_info_list.append(filename)
file_info_list.append(filepath)
return (file_info_list)
# 每小时生成一个10M大小的csv文件
# @repeat(every(1).hours) --是基于运行的时间,不是基于系统时间
def new():
print('new...')
# 创建文件夹
finfo = file_info()
if not finfo[2].exists():
finfo[2].mkdir()
# 创建文件
faker_data.save_data_csv(finfo[4], lines=10)
# 每2秒插入10条数据
@repeat(every(2).seconds)
def inserting():
finfo = file_info()
if finfo[4].exists():
print('insert...')
datas = faker_data.faker_data(lines=10)[1:]
with open(finfo[4], 'a+', encoding='utf-8', newline='') as file_csv:
writer = csv.writer(file_csv, delimiter=',',
quotechar='"', quoting=csv.QUOTE_ALL)
writer.writerows(datas)
else:
print(str(finfo[4])+" is not exists,wating")
# 手动去调一下,让其整点创建
new()
# 每隔10分钟删除100条数据
@repeat(every(10).minutes)
def deleting_data():
finfo = file_info()
# 获取所有文件
files = list(finfo[2].glob('*.csv'))
if len(files) > 1:
file = choice(files[:-1])
print(str(file) + "start delete data ....")
# 删除掉前100条数据
with open(file, 'rb') as fr:
data = fr.readlines()
new_data = data[100:]
# 少于100条的不删除
if len(new_data) > 100:
with open(file, 'wb') as fw:
fw.writelines(new_data)
else:
print("file number is less 1,wait next time.")
# 每隔6小时删除1个文件,低于3个不删除
@repeat(every(6).hours)
# @repeat(every(2).seconds)
def deleting_file():
print("deleting file ....")
# 从data目录中随机选一个
files = list(data_dir.rglob('*.csv'))
if len(files) > 3:
file = choice(files[:-1])
file.unlink()
else:
print("file num is less 3, not delete. wait next time.")
if __name__ == '__main__':
while True:
run_pending()

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@ -1,2 +1,3 @@
faker
faker==19.12.0
schedule==1.2.1

6
start_vscode.bat Normal file
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@ -0,0 +1,6 @@
set PROJECT_HOME=%~dp0
rem 确保vscode在path里面
start code %PROJECT_HOME%

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@ -16,8 +16,8 @@ deps =
envdir = devenv
basepython = python3
usedevelop = True
commands =
{envpython} {toxinidir}/bin/e2f.py
#commands =
# {envpython} {toxinidir}/bin/e2f.py
[testenv:devenv2]
envdir = devenv2
@ -31,7 +31,7 @@ deps =
-r{toxinidir}/requirements.txt
commands =
{envpython} {toxinidir}/release.py {envdir} {envsitepackagesdir} {toxinidir}/build/excel2feature {toxinidir}
{envpython} {toxinidir}/release.py {envdir} {envsitepackagesdir} {toxinidir}/build/dataCreating {toxinidir}
[testenv:py27-release]