def test030_Category_Name(self):
FunctionCommon.smartsearch(self,"Ignition")
Mutil_Selection.Products_ViewDetail(self)
Verification.Verify_Category(self,"Ignition")
AddCart.AddCart(self)
PublicFunctions.my_wait_text_present(self,"Your Shopping Cart")
AddCart.CheckOut(self)
def test_case3(self):
driver = self.driver
time.sleep(3)
# 步骤A
timeA = datetime.datetime.now().strftime('%Y-%m-%d %H:%M:%S')
for i in range(10):
print(i)
driver.find_elements_by_id('com.baidu.searchbox:id/eq')[0].click()
time.sleep(3)
for i in range(20):
try:
driver.swipe(0.5 * self.x, 0.9 * self.y, 0.5 * self.x, 0.4 * self.y, 1000)
except:
pass
time.sleep(1)
el = PublicFunctions.isElement(self,'id','com.baidu.searchbox:id/rl_commentitem')
if el:
for i in range(2):
driver.swipe(0.5 * self.x, 0.9 * self.y, 0.5 * self.x, 0.4 * self.y, 1000)
time.sleep(1)
break
driver.keyevent(4)
time.sleep(3)
time.sleep(10)
#步骤B
timeB = datetime.datetime.now().strftime('%Y-%m-%d %H:%M:%S')
timeData = timeA + ',' + timeB
# 将A 和 B 的时间用逗号连起来后，存储到相应的case文件中
timeFile = os.getcwd() + baseConfig['case3']['directory'] + '/' + baseConfig['case3']['time_file']
PublicFunctions.writeDateToFile(timeData, timeFile)
def setUp(self):
self.verificationErrors = []
self.selenium = selenium("localhost", 4444, "*firefox3 E:/Program Files/Mozilla Firefox/firefox.exe", "http://www.lofinc.net/login/account")
sel=self.selenium
sel.start()
sel.set_timeout("0")
sel.open("/")
# Login
for i in range(0, 30):
if sel.is_element_present("login_email") == True:
sel.type("login_email","*****@*****.**")
sel.type("login_pass","123456")
sel.click("LoginButton")
break
else :
time.sleep(1)
PublicFunctions.my_wait_text_present(self, "Quick Search")
# If YMM have values, clean them.
IsClean = True
if sel.is_element_present("//span[@id='side_selected_year']/label") == True:
IsClean = False
elif sel.is_element_present("//span[@id='side_selected_make']/label") == True:
IsClean = False
elif sel.is_element_present("//span[@id='side_selected_model']/label") == True:
IsClean = False
if IsClean == False:
FunctionCommon.Clear(self,"all")
def test022_Brand_Name(self):
FunctionCommon.smartsearch(self,"Extang")
Mutil_Selection.Products_ViewDetail(self)
Verification.Verify_Brand(self,"Extang")
AddCart.AddCart(self)
PublicFunctions.my_wait_text_present(self,"Your Shopping Cart")
AddCart.CheckOut(self)
def CropPic(picPath, cropParams, Save_Path):
saveFilePath = Save_Path + '/' + os.path.split(
os.path.dirname(os.path.dirname(picPath)))[1] + '/' + os.path.split(
os.path.dirname(picPath))[1]
if os.path.exists(saveFilePath) == False:
os.makedirs(saveFilePath)
with im.open(picPath) as picHandle:
W, H = picHandle.size
if abs(W - H) < threshold:
new_img = picHandle.resize((cropParams[0], cropParams[1]),
im.BILINEAR)
pf.Add_Thread(
lambda: new_img.save(saveFilePath + '/' + os.path.split(
picPath)[1]), 'setDaemon')
print('正在处理:' + picPath)
else:
if W > H:
new_img = picHandle.crop(((W - H) / 2, 0, (W + H) / 2, H))
pf.Add_Thread(
lambda: new_img.save(saveFilePath + '/' + os.path.split(
picPath)[1]), 'setDaemon')
else:
new_img = picHandle.crop(
(0, (H - W) / 2, W, (H + W) / 2)).resize(
(cropParams[0], cropParams[1]), im.BILINEAR)
pf.Add_Thread(
lambda: new_img.save(saveFilePath + '/' + os.path.split(
picPath)[1]), 'setDaemon')
print('正在处理:' + picPath)
def Brand(self,value):
PublicFunctions.my_wait_element(self,"//div[@id='LayoutColumn1']/div[2]/div[2]/ul[1]/li[2]/img")
if PublicFunctions.my_wait_element(self,"//input[@name=\'%s\']" %value) is False:
self.selenium.click("//div[@id='LayoutColumn1']/div[2]/div[2]/ul[1]/li[2]/img")
self.selenium.click("//div[@id='LayoutColumn1']/div[2]/div[2]/ul[1]/li[2]/img")
PublicFunctions.my_wait_element(self,"//input[@name=\'%s\']" %value)
self.selenium.click("//input[@name=\'%s\']" %value)
def test012_Prod_SKU(self):
FunctionCommon.smartsearch(self,"82016")
Mutil_Selection.Products_ViewDetail(self)
Verification.Verify_SKU(self,"82016")
AddCart.AddCart(self)
PublicFunctions.my_wait_text_present(self,"Your Shopping Cart")
AddCart.CheckOut(self)
def test030_MoreProd(self):
Mutil_Selection.Make(self,"FORD")
Mutil_Selection.Categories_QP(self,"Bed Mats")
FunctionCommon.Browser(self)
Mutil_Selection.SubCategories_Link(self,"category/68/subcategory/636/make/ford")
Mutil_Selection.ProdList_AddToCart(self, "1")
PublicFunctions.my_wait_text_present(self,"Your Shopping Cart")
AddCart.CheckOut(self)
def test032_MoreProd(self):
Mutil_Selection.Year(self,"2005")
Mutil_Selection.Brand(self,"Extang")
FunctionCommon.Browser(self)
Mutil_Selection.Series_options(self,"Extang EXPRESS Universal Tailgate Seal")
Mutil_Selection.ProdList_AddToCart(self, "4")
PublicFunctions.my_wait_text_present(self,"Your Shopping Cart")
AddCart.CheckOut(self)
def test031_MoreProd(self):
Mutil_Selection.Year(self,"2006")
Mutil_Selection.Make(self,"DODGE")
Mutil_Selection.Categories_QP(self,"Nerf Bars")
FunctionCommon.Browser(self)
Mutil_Selection.SubCategories_Link(self,"category/57/subcategory/728/year/2006/make/dodge")
Mutil_Selection.ProdList_AddToCart(self, "5")
PublicFunctions.my_wait_text_present(self,"Your Shopping Cart")
AddCart.CheckOut(self)
def SelectFilePath(self, method, target):
if method == 'dir':
directory = QFileDialog.getExistingDirectory(
None, '文件夹选择', pf.GetDesktopPath())
target.setText(directory)
else:
file = QFileDialog.getOpenFileName(None, '文件选择',
pf.GetDesktopPath())
target.setText(file[0])
def test020_MoreProd(self):
Mutil_Selection.Make(self,"HONDA")
Mutil_Selection.Categories_QP(self,"Mufflers")
FunctionCommon.Browser(self)
Mutil_Selection.SubCategories_Link(self,"category/224/subcategory/421/make/honda")
Mutil_Selection.Products_ViewDetail(self)
AddCart.AddCart(self)
PublicFunctions.my_wait_text_present(self,"Your Shopping Cart")
AddCart.UpdateQty(self,"3")
AddCart.CheckOut(self)
def test021_MoreProd(self):
Mutil_Selection.Year(self,"2009")
Mutil_Selection.Brand(self,"K&N")
FunctionCommon.Browser(self)
Mutil_Selection.Series_options(self,"Air Filter Accessories")
Mutil_Selection.Products_ViewDetail(self)
AddCart.AddCart(self)
PublicFunctions.my_wait_text_present(self,"Your Shopping Cart")
AddCart.UpdateQty(self,"3")
AddCart.CheckOut(self)
def test_case1(self):
# 步骤A
timeA = datetime.datetime.now().strftime('%Y-%m-%d %H:%M:%S')
time.sleep(2)
# 步骤B
timeB = datetime.datetime.now().strftime('%Y-%m-%d %H:%M:%S')
timeData = timeA + ',' + timeB
# 将A 和 B 的时间用逗号连起来后，存储到相应的case文件中
timeFile = os.getcwd() + baseConfig['case1']['directory'] + '/' + baseConfig['case1']['time_file']
PublicFunctions.writeDateToFile(timeData, timeFile)
def test011_TwoSubCategories(self):
Mutil_Selection.Make(self,"TOYOTA")
Mutil_Selection.Categories_QP(self,"Bed Mats")
time.sleep(3)
Mutil_Selection.Categories_QP(self,"Oil Filters")
FunctionCommon.Browser(self)
Mutil_Selection.TwoSubCategories_select(self,"Universal Oil Filters","Harley Davidson Bed Mat")
Mutil_Selection.Products_ViewDetail(self)
AddCart.AddCart(self)
PublicFunctions.my_wait_text_present(self,"Your Shopping Cart")
AddCart.CheckOut(self)
def test010_TwoSubCategories(self):
Mutil_Selection.Year(self,"2010")
Mutil_Selection.Categories_QP(self,"Tonneau Covers")
time.sleep(3)
Mutil_Selection.Categories_QP(self,"Nerf Bars")
FunctionCommon.Browser(self)
Mutil_Selection.TwoSubCategories_select(self,"Truck Champ Drop Step","Snap Tonneau Covers")
Mutil_Selection.Products_ViewDetail(self)
AddCart.AddCart(self)
PublicFunctions.my_wait_text_present(self,"Your Shopping Cart")
AddCart.CheckOut(self)
def test022_TwoSeries(self):
Mutil_Selection.Year(self,"2007")
Mutil_Selection.Brand(self,"K&N")
time.sleep(3)
Mutil_Selection.Brand(self,"Lund")
FunctionCommon.Browser(self)
Mutil_Selection.TwoSeries_select(self,"//div[@id='subcatleftcolumn']/img","//div[5]/li[1]/div[1]/img")
Mutil_Selection.Products_ViewDetail(self)
AddCart.AddCart(self)
PublicFunctions.my_wait_text_present(self,"Your Shopping Cart")
AddCart.CheckOut(self)
def test020_TwoSeries(self):
Mutil_Selection.Year(self,"2010")
Mutil_Selection.Brand(self,"Advantage")
time.sleep(3)
Mutil_Selection.Brand(self,"AEM")
FunctionCommon.Browser(self)
Mutil_Selection.TwoSeries_select(self,"//li[2]/div[1]/img","//div[2]/li[1]/div[1]/img")
Mutil_Selection.Products_ViewDetail(self)
AddCart.AddCart(self)
PublicFunctions.my_wait_text_present(self,"Your Shopping Cart")
AddCart.CheckOut(self)
def test_case4(self):
driver = self.driver
time.sleep(30)
# 步骤A
timeA = datetime.datetime.now().strftime('%Y-%m-%d %H:%M:%S')
list = [
'日本新防卫大纲担忧中国军事动向 华春莹：老调重弹，冷战思维', '韬蕴资本：贾跃亭躲在豪宅大门紧闭 拒绝接受任何法律文书',
'凉凉！谷歌中国版搜索引擎被内部“毙了”', '中美经贸微妙时期，中国率先释放一重磅信号',
'李彦宏：百度将在正确轨道上为人类服务', '无人店实地调查！风口未起的2018，门前冷清，多家关店',
'优酷出台网络电影分账新规，能有效破除唯流量论吗？', '推特称检测到自中国和沙特IP地址的可疑活动 外交部回应',
'解剖京东数科：刘强东持股或超25%，仍是实际控制人', '一个月播放32亿+！快手政务号引爆“政能量”传播'
]
for i in range(50):
aa = self.driver.find_elements_by_id(
'com.baidu.searchbox:id/eq')[0].text
if aa in list:
self.driver.find_elements_by_id(
'com.baidu.searchbox:id/eq')[0].click()
time.sleep(3)
for i in range(20):
try:
driver.swipe(0.5 * self.x, 0.9 * self.y, 0.5 * self.x,
0.4 * self.y, 1000)
except:
pass
time.sleep(1)
el = PublicFunctions.isElement(
self, 'id', 'com.baidu.searchbox:id/rl_commentitem')
if el:
for i in range(2):
driver.swipe(0.5 * self.x, 0.9 * self.y,
0.5 * self.x, 0.4 * self.y, 1000)
time.sleep(1)
break
driver.keyevent(4)
time.sleep(3)
del list[0]
elif len(list) == 0:
print('测试完成！')
break
else:
print len(list)
driver.swipe(0.5 * self.x, 0.9 * self.y, 0.5 * self.x,
0.8 * self.y, 1000)
time.sleep(10)
# 步骤B
timeB = datetime.datetime.now().strftime('%Y-%m-%d %H:%M:%S')
timeData = timeA + ',' + timeB
# 将A 和 B 的时间用逗号连起来后，存储到相应的case文件中
timeFile = os.getcwd() + baseConfig['case4'][
'directory'] + '/' + baseConfig['case4']['time_file']
PublicFunctions.writeDateToFile(timeData, timeFile)
def test012_TwoSubCategories(self):
Mutil_Selection.Year(self,"2009")
Mutil_Selection.Categories_QP(self,"Fender Flares")
time.sleep(3)
Mutil_Selection.Categories_QP(self,"Gauges")
FunctionCommon.Browser(self)
Mutil_Selection.TwoSubCategories_select(self,"Edge Gauge","Extended Fender Flares")
time.sleep(5)
Mutil_Selection.Products_ViewDetail(self)
AddCart.AddCart(self)
PublicFunctions.my_wait_text_present(self,"Your Shopping Cart")
AddCart.CheckOut(self)
def test_case6(self):
driver = self.driver
time.sleep(30)
# 步骤A
timeA = datetime.datetime.now().strftime('%Y-%m-%d %H:%M:%S')
# 把所有title都写进来
list = [
'样子也太可爱了吧！早期出席活动的郭碧婷，看起来好开心！',
'娱乐圈让人羡慕的6对夫妻，黄晓明Angelababy上榜，你最看好哪对',
'美丽少女张雪迎，穿什么衣服都好看，美貌身材兼备的小鲜肉', '佟丽娅厉害了，在耳朵上戴“戒指”不够还单扎麻花辫，美成了初恋',
'Angelababy早期出席活动，一袭优雅高贵的礼服，犹如仙子般惊艳',
'鹿晗真会打扮，卫衣叠加风衣帅气十足，搭配中分发型意外的时髦', '刘亦菲在裙上安扣子不够，还配双“雨滴鞋”，和黄晓明同框太抢镜',
'网友偶遇张雪迎，街拍素颜的张雪迎也是仙气满满！', '这还是我认识的那个陈妍希吗？早期出席活动的她，这一波美我认了',
'不愧是“亚洲第一美”！早期走活动的克拉拉，穿吊带裙没一丝赘肉'
]
driver.swipe(0.5 * self.x, 0.9 * self.y, 0.5 * self.x, 0.1 * self.y,
1000)
driver.swipe(0.5 * self.x, 0.9 * self.y, 0.5 * self.x, 0.1 * self.y,
1000)
for i in range(50):
aa = self.driver.find_elements_by_id(
'com.baidu.searchbox:id/eq')[0].text
if aa in list:
self.driver.find_elements_by_id(
'com.baidu.searchbox:id/eq')[0].click()
time.sleep(3)
for i in range(10):
try:
driver.swipe(0.8 * self.x, 0.5 * self.y, 0.2 * self.x,
0.5 * self.y, 1000)
except:
pass
time.sleep(1)
self.driver.keyevent(4)
time.sleep(3)
del list[0]
elif len(list) == 0:
print('测试完成！')
break
else:
print len(list)
driver.swipe(0.5 * self.x, 0.9 * self.y, 0.5 * self.x,
0.8 * self.y, 1000)
time.sleep(10)
# 步骤B
timeB = datetime.datetime.now().strftime('%Y-%m-%d %H:%M:%S')
timeData = timeA + ',' + timeB
# 将A 和 B 的时间用逗号连起来后，存储到相应的case文件中
timeFile = os.getcwd() + baseConfig['case6'][
'directory'] + '/' + baseConfig['case6']['time_file']
PublicFunctions.writeDateToFile(timeData, timeFile)
def test010_Cat_AirFilter_AirFilters(self):
Mutil_Selection.Year(self, "2010")
Mutil_Selection.Make(self, "FORD")
Mutil_Selection.Categories_QP(self, "Air Filter")
FunctionCommon.Browser(self)
Mutil_Selection.SubCategories_Link(self, "category/15/subcategory/587/year/2010/make/ford")
Mutil_Selection.Products_ViewDetail(self)
AddCart.AddCart(self)
PublicFunctions.my_wait_text_present(self, "Your Shopping Cart")
AddCart.CheckOut(self)
PublicFunctions.my_wait_text_present(self, "Express Checkout")
Payment.Step1_ProceedCheckOut(self, False)
Payment.Step3_ShippingMethod(self)
Payment.Step4_OrderConfirm(self)
def test021_Cat_NerfBars_3WWRoundTube(self):
Mutil_Selection.Year(self, "2009")
Mutil_Selection.Make(self, "FORD")
Mutil_Selection.Categories_QP(self, "Nerf Bars")
FunctionCommon.Browser(self)
Mutil_Selection.SubCategories_Link(self, "category/57/subcategory/257/year/2009/make/ford")
Mutil_Selection.Products_ViewDetail(self)
AddCart.AddCart(self)
PublicFunctions.my_wait_text_present(self, "Your Shopping Cart")
AddCart.CheckOut(self)
PublicFunctions.my_wait_text_present(self, "Express Checkout")
Payment.Step1_ProceedCheckOut(self, False)
Payment.Step3_ShippingMethod(self)
Payment.Step4_OrderConfirm(self)
def test110_Brand_BestInAUTO_3rdBrakeLights(self):
Mutil_Selection.Year(self, "2009")
Mutil_Selection.Make(self, "GMC")
Mutil_Selection.Brand(self, "BestInAUTO")
FunctionCommon.Browser(self)
Mutil_Selection.SubCategories_Link(self, "brand/83/series/555/year/2009/make/gmc")
Mutil_Selection.Products_ViewDetail(self)
AddCart.AddCart(self)
PublicFunctions.my_wait_text_present(self, "Your Shopping Cart")
AddCart.CheckOut(self)
PublicFunctions.my_wait_text_present(self, "Express Checkout")
Payment.Step1_ProceedCheckOut(self, False)
Payment.Step3_ShippingMethod(self)
Payment.Step4_OrderConfirm(self)
def test031_Cat_TonneauCovers_ToolBox(self):
Mutil_Selection.Year(self, "2009")
Mutil_Selection.Make(self, "GMC")
Mutil_Selection.Categories_QP(self, "Tonneau Covers")
FunctionCommon.Browser(self)
Mutil_Selection.SubCategories_Link(self, "category/4/subcategory/99/year/2009/make/gmc")
Mutil_Selection.Products_ViewDetail(self)
AddCart.AddCart(self)
PublicFunctions.my_wait_text_present(self, "Your Shopping Cart")
AddCart.CheckOut(self)
PublicFunctions.my_wait_text_present(self, "Express Checkout")
Payment.Step1_ProceedCheckOut(self, False)
Payment.Step3_ShippingMethod(self)
Payment.Step4_OrderConfirm(self)
def test_case2(self):
driver = self.driver
time.sleep(30)
# 步骤A
timeA = datetime.datetime.now().strftime('%Y-%m-%d %H:%M:%S')
for i in range(10):
driver.find_elements_by_id('com.baidu.searchbox:id/tab_indi_title')[1].click()
time.sleep(3)
time.sleep(10)
#步骤B
timeB = datetime.datetime.now().strftime('%Y-%m-%d %H:%M:%S')
timeData = timeA + ',' + timeB
#将A 和 B 的时间用逗号连起来后，存储到相应的case文件中
timeFile = os.getcwd() + baseConfig['case2']['directory'] + '/' + baseConfig['case2']['time_file']
PublicFunctions.writeDateToFile(timeData, timeFile)
def test111_Brand_BestInAUTO_ValveStemExtensions(self):
Mutil_Selection.Year(self, "2010")
Mutil_Selection.Make(self, "FORD")
Mutil_Selection.Brand(self, "BestInAUTO")
time.sleep(3)
FunctionCommon.Browser(self)
Mutil_Selection.SubCategories_Link(self, "brand/83/series/531/year/2010/make/ford")
Mutil_Selection.Products_ViewDetail(self)
AddCart.AddCart(self)
PublicFunctions.my_wait_text_present(self, "Your Shopping Cart")
AddCart.CheckOut(self)
PublicFunctions.my_wait_text_present(self, "Express Checkout")
Payment.Step1_ProceedCheckOut(self, False)
Payment.Step3_ShippingMethod(self)
Payment.Step4_OrderConfirm(self)
def test120_Brand_TruckChamp_StainlessSteelBullBars(self):
Mutil_Selection.Year(self, "2009")
Mutil_Selection.Make(self, "GMC")
Mutil_Selection.Brand(self, "Truck Champ")
time.sleep(3)
FunctionCommon.Browser(self)
Mutil_Selection.SubCategories_Link(self, "brand/7/series/42/year/2009/make/gmc")
Mutil_Selection.Products_ViewDetail(self)
AddCart.AddCart(self)
PublicFunctions.my_wait_text_present(self, "Your Shopping Cart")
AddCart.CheckOut(self)
PublicFunctions.my_wait_text_present(self, "Express Checkout")
Payment.Step1_ProceedCheckOut(self, False)
Payment.Step3_ShippingMethod(self)
Payment.Step4_OrderConfirm(self)
def test121_Brand_TruckChamp_TCDropSteps(self):
Mutil_Selection.Year(self, "2008")
Mutil_Selection.Make(self, "CHEVROLET")
Mutil_Selection.Brand(self, "Truck Champ")
time.sleep(3)
FunctionCommon.Browser(self)
Mutil_Selection.SubCategories_Link(self, "brand/7/series/535/year/2008/make/chevrolet")
Mutil_Selection.Products_ViewDetail(self)
AddCart.AddCart(self)
PublicFunctions.my_wait_text_present(self, "Your Shopping Cart")
AddCart.CheckOut(self)
PublicFunctions.my_wait_text_present(self, "Express Checkout")
Payment.Step1_ProceedCheckOut(self, False)
Payment.Step3_ShippingMethod(self)
Payment.Step4_OrderConfirm(self)
def test011_Cat_AitFilter_UniversalAirFitlerCleaner(self):
Mutil_Selection.Year(self, "2009")
Mutil_Selection.Make(self, "GMC")
Mutil_Selection.Categories_QP(self, "Air Filter")
## time.sleep(3)
FunctionCommon.Browser(self)
Mutil_Selection.SubCategories_Link(self, "category/15/subcategory/380/year/2009/make/gmc")
Mutil_Selection.Products_ViewDetail(self)
AddCart.AddCart(self)
PublicFunctions.my_wait_text_present(self, "Your Shopping Cart")
AddCart.CheckOut(self)
PublicFunctions.my_wait_text_present(self, "Express Checkout")
Payment.Step1_ProceedCheckOut(self, False)
Payment.Step3_ShippingMethod(self)
Payment.Step4_OrderConfirm(self)
def CheckOut(self):
PublicFunctions.my_wait_title(self,"Click here to proceed to checkout")
time.sleep(5)
sel = self.selenium
sel.click("//img[contains(@src, 'images/blue/CheckoutButton.gif') and @alt='']")
time.sleep(5)
for i in range(0, 8):
if sel.get_title().find("Express Checkout")<0 or sel.is_element_present("//input[@value='Continue shopping']"):break
else :
time.sleep(1)
if sel.is_element_present("//input[@value='Continue shopping']"):
sel.click("//input[@value='Checkout']")
PublicFunctions.my_wait_text_present(self,"Express Checkout")
def PostDataProcessing(filePath, username, password, method, object):
fileHandler = xlrd.open_workbook(filePath)
Sheet = fileHandler.sheet_by_index(0)
object.RefreshStatusbar('开始准备上传数据...请稍后')
#object.PostDataButton.setEnabled(False)
#time.sleep(0.5)
URL = AppConfig.METHOD[method]['URL']
JSESSIONID = GetSessionID(username, GetMD5(password))
if JSESSIONID:
cookie = {"JSESSIONID": JSESSIONID[0]}
FieldsList = Sheet.row_values(1)
Row_Count = len(Sheet.col_values(7))
Column_Count = len(FieldsList)
# print(Column_Count)
if CheckTempXlSX(GetMD5(''.join(FieldsList)), Row_Count):
for i in range(2, Row_Count):
postData = copy.deepcopy(ProductFields.AddData)
for j in range(Column_Count - 1):
if j <= 38:
postData["productBasicModel"][Sheet.cell(
1, j).value] = str(Sheet.cell(i, j).value).replace(
'.0', '')
else:
#print(i,j,Sheet.cell(i, j).value)
postData["skuModels"] = FormatSkuModelsData(
Sheet.cell(i, j).value,
postData["productBasicModel"]["bonusPointsRate"],
postData["productBasicModel"]['salePrice'])
postData["id"] = postData["productBasicModel"][
"productId"]
postData["productBasicModel"]['mediaModels'] = []
postData["productBasicModel"]['models'] = []
# print(postData)
Datas = json.dumps(postData, ensure_ascii=False).encode()
object.RefreshStatusbar(
"上传%s数据中..." %
postData["productBasicModel"]['productName'])
pf.Add_Thread(
lambda: StartOperating(
URL, Datas, cookie, postData["productBasicModel"][
'productName']), 'setDaemon')
#object.PostDataButton.setEnabled(True)
object.RefreshStatusbar('上传%s条商品信息数据完成...' % str(Row_Count - 2))
else:
object.RefreshStatusbar('导入数据或者模板有误！')
object.PostDataButton.setEnabled(True)
else:
object.RefreshStatusbar('账号密码错误！')
object.PostDataButton.setEnabled(True)
return False
object.PostDataButton.setEnabled(True)
for x in locals().keys():
del locals()[x]
gc.collect()
def StartProcess(self, method):
gv.set_value('width', 640)
if method == 'imageadjust':
pf.Add_Thread(
lambda: WPicAdjust.MultiStart(
self.ImagePathlineEdit.text(),
self.ImageSavePathlineEdit.text(), self), 'setDaemon')
elif method == 'datapost':
pf.Add_Thread(
lambda: WUploadData.PostDataProcessing(
self.ExcelPathlineEdit.text(), self.UserNamelineEdit.text(
), self.PassWordlineEdit.text(), 'Add'
if self.AddradioButton.isChecked() else 'Update', self),
'setDaemon')
elif method == 'imagepost':
pf.Add_Thread(
lambda: WUploadData.PostImageProcessing(
self.ImagePostPathlineEdit.text(),
self.UserNamelineEdit.text(), self.PassWordlineEdit.text(
), 'PicUpload' if self.SaveradioButton.isChecked() else
'PicUploadExamine', self), 'setDaemon')
def test_case5(self):
driver = self.driver
time.sleep(30)
# 步骤A
timeA = datetime.datetime.now().strftime('%Y-%m-%d %H:%M:%S')
driver.swipe(0.5 * self.x, 0.9 * self.y, 0.5 * self.x, 0.1 * self.y,
1000)
driver.swipe(0.5 * self.x, 0.9 * self.y, 0.5 * self.x, 0.1 * self.y,
1000)
title1 = '样子也太可爱了吧！早期出席活动的郭碧婷，看起来好开心！'
for i in range(10):
print(i)
for i in range(50):
aa = self.driver.find_elements_by_id(
'com.baidu.searchbox:id/eq')[0].text
if aa == title1:
self.driver.find_elements_by_id(
'com.baidu.searchbox:id/eq')[0].click()
time.sleep(3)
for i in range(8):
try:
driver.swipe(0.8 * self.x, 0.5 * self.y,
0.2 * self.x, 0.5 * self.y, 1000)
except:
pass
time.sleep(1)
self.driver.keyevent(4)
time.sleep(3)
break
else:
driver.swipe(0.5 * self.x, 0.9 * self.y, 0.5 * self.x,
0.8 * self.y, 1000)
time.sleep(10)
# 步骤B
timeB = datetime.datetime.now().strftime('%Y-%m-%d %H:%M:%S')
timeData = timeA + ',' + timeB
# 将A 和 B 的时间用逗号连起来后，存储到相应的case文件中
timeFile = os.getcwd() + baseConfig['case5'][
'directory'] + '/' + baseConfig['case5']['time_file']
PublicFunctions.writeDateToFile(timeData, timeFile)
def TwoSubCategories_select(self, alt1, alt2):
PublicFunctions.my_wait_element(self,"//img[@alt=\'%s\']" % alt1)
self.selenium.click("//img[@alt=\'%s\']" % alt1)
PublicFunctions.my_wait_element(self,"//img[@alt=\'%s\']" % alt2)
self.selenium.click("//img[@alt=\'%s\']" % alt2)
PublicFunctions.my_wait_element(self,"//div[@id='FavoriteDivPar']/div[1]/a[1]")
self.selenium.click("//div[@id='FavoriteDivPar']/div[1]/a[1]")
def TwoSeries_select(self,link1,link2):
PublicFunctions.my_wait_element(self,link1)
self.selenium.click(link1)
PublicFunctions.my_wait_element(self,link2)
self.selenium.click(link2)
PublicFunctions.my_wait_element(self,"//div[@id='HomeNewProducts']/div[4]/div[1]/a[1]")
self.selenium.click("//div[@id='HomeNewProducts']/div[4]/div[1]/a[1]")
def ResizeLock(picPath, width, Save_Path):
saveFilePath = Save_Path + '/' + os.path.split(
os.path.dirname(os.path.dirname(picPath)))[1] + '/' + os.path.split(
os.path.dirname(picPath))[1]
if os.path.exists(saveFilePath) == False:
os.makedirs(saveFilePath)
with im.open(picPath) as picHandle:
W, H = picHandle.size
new_img = picHandle.resize((width, int(H / W * width)), im.BILINEAR)
pf.Add_Thread(
lambda: new_img.save(saveFilePath + '/' + os.path.split(picPath)[1]
), 'setDaemon')
print('正在处理:' + picPath)
def setUp(self):
self.verificationErrors = []
self.selenium = selenium("localhost", 4444, "*chrome", "http://dev.lofinc.net/")
self.selenium.start()
self.selenium.set_timeout("0")
sel=self.selenium
sel.open("/")
for i in range(0, 30):
if self.selenium.is_element_present("login_email") == True:
self.selenium.type("login_email","*****@*****.**")
self.selenium.type("login_pass","123456")
self.selenium.click("LoginButton")
else :
time.sleep(1)
PublicFunctions.my_wait_element(self,"side_selected_year")
a1=self.selenium.get_text("side_selected_year")
a2=self.selenium.get_text("side_selected_make")
a3=self.selenium.get_text("side_selected_brand")
a4=self.selenium.get_text("side_selected_category")
if (a1 or a2 or a3 or a4) == "" :
return True
else:
FunctionCommon.Clear(self,"all")
def PostImageProcessing(filePath, username, password, method, object):
URL = AppConfig.METHOD[method]['URL']
#object.ImageAdjustButton.setEnabled(False)
#time.sleep(0.1)
JSESSIONID = GetSessionID(username, GetMD5(password))
if JSESSIONID:
cookie = {"JSESSIONID": JSESSIONID[0]}
PicsInfo = GetPicsInfo(filePath)
for picinfo in PicsInfo:
postData = json.dumps(FormatImagePostData(picinfo),
ensure_ascii=False).encode()
object.RefreshStatusbar("上传'%s'商品信息..." % picinfo[0])
pf.Add_Thread(
lambda: StartOperating(URL, postData, cookie, picinfo[0]),
'setDaemon')
else:
object.RefreshStatusbar('账号密码错误！')
return False
def test010_MoreProd(self):
Mutil_Selection.Year(self,"2010")
Mutil_Selection.Categories_QP(self,"Tonneau Covers")
FunctionCommon.Browser(self)
Mutil_Selection.SubCategories_Link(self,"category/4/subcategory/6/year/2010")
Mutil_Selection.Products_ViewDetail(self)
AddCart.AddCart(self)
PublicFunctions.my_wait_text_present(self,"Your Shopping Cart")
## Go back homepage and clean all
self.selenium.click("//div[@id='TopMenu']/ul/li[2]/a/span")
PublicFunctions.my_wait_text_present(self, "Quick Search")
FunctionCommon.Clear(self)
## Add another product
Mutil_Selection.Year(self,"2010")
Mutil_Selection.Brand(self,"Advantage")
FunctionCommon.Browser(self)
Mutil_Selection.Series_options(self,"Advantage Sure-Fit")
Mutil_Selection.Products_ViewDetail(self)
AddCart.AddCart(self)
PublicFunctions.my_wait_text_present(self,"Your Shopping Cart")
AddCart.CheckOut(self)
def test012_MoreProd(self):
Mutil_Selection.Year(self,"2007")
Mutil_Selection.Make(self,"TOYOTA")
Mutil_Selection.Categories_QP(self,"Bed Mats")
FunctionCommon.Browser(self)
Mutil_Selection.SubCategories_Link(self,"category/68/subcategory/675/year/2007/make/toyota")
Mutil_Selection.Products_ViewDetail(self)
AddCart.AddCart(self)
PublicFunctions.my_wait_text_present(self,"Your Shopping Cart")
## Go back homepage and clean all
self.selenium.click("//div[@id='TopMenu']/ul/li[2]/a/span")
time.sleep(8)
PublicFunctions.my_wait_text_present(self, "Quick Search")
FunctionCommon.Clear(self)
## Add another product
Mutil_Selection.Year(self,"2007")
Mutil_Selection.Make(self,"NISSAN")
Mutil_Selection.Brand(self,"Edge")
FunctionCommon.Browser(self)
Mutil_Selection.Series_options(self,"Edge Plug-In")
Mutil_Selection.Products_ViewDetail(self)
AddCart.AddCart(self)
PublicFunctions.my_wait_text_present(self,"Your Shopping Cart")
AddCart.CheckOut(self)
def test011_MoreProd(self):
Mutil_Selection.Year(self,"2005")
Mutil_Selection.Make(self,"CHEVROLET")
Mutil_Selection.Brand(self,"AEM")
FunctionCommon.Browser(self)
Mutil_Selection.Series_options(self,"AEM Analog Guage")
Mutil_Selection.Products_ViewDetail(self)
AddCart.AddCart(self)
PublicFunctions.my_wait_text_present(self,"Your Shopping Cart")
## Go back homepage and clean all
self.selenium.click("//div[@id='TopMenu']/ul/li[2]/a/span")
time.sleep(8)
PublicFunctions.my_wait_text_present(self, "Quick Search")
FunctionCommon.Clear(self)
## Add another product
time.sleep(5)
Mutil_Selection.Year(self,"2007")
Mutil_Selection.Categories_QP(self,"Oil Filters")
FunctionCommon.Browser(self)
Mutil_Selection.SubCategories_Link(self,"category/19/subcategory/419/year/2007")
Mutil_Selection.Products_ViewDetail(self)
AddCart.AddCart(self)
PublicFunctions.my_wait_text_present(self,"Your Shopping Cart")
AddCart.CheckOut(self)
def PSOClusteringAlgorithm(datapoints, dataname, run):
"""---------------------------------------------------------------------------------------
:function: PSO clustering algorithm
:parameter: datapoints: data points
dataname: data set's name
run: indicates which time is it and use to set the seed for random
:return: lables: the labels of data points assigned by the algorithm
k: number of cluster detected
------------------------------------------------------------------------------------------"""
band_dict = {"data/aggregation.txt": 1.5, "data/flame.txt": 1.3, "data/DS850.txt": 0.3, "data/R15.txt": 0.3,
"data/D31.txt": 0.5, "data/dim512.txt": 0.40, "data/iris.txt": 0.09, "data/wdbc.txt": 0.09,
"data/seeds.txt": 0.10, "data/segmentation_all.txt": 0.16, "data/ecoli.txt": 0.07,
"data/appendicitis.txt": 0.12}
spread_dict = {"data/aggregation.txt": 1.8, "data/flame.txt": 2.2, "data/DS850.txt": 0.3, "data/R15.txt": 0.5,
"data/D31.txt": 1.0, "data/dim512.txt": 0.40, "data/iris.txt": 0.10, "data/wdbc.txt": 0.08,
"data/seeds.txt": 0.20, "data/segmentation_all.txt": 0.15, "data/ecoli.txt": 0.09,
"data/appendicitis.txt": 0.18}
# use for drawing figures
num_dict = {"data/aggregation.txt": 7, "data/flame.txt": 3, "data/DS850.txt": 5, "data/R15.txt": 15,
"data/D31.txt": 31, "data/iris.txt": 0.10, "data/wdbc.txt": 0.08, "data/seeds.txt": 0.20,
"data/segmentation_all.txt": 0.15, "data/ecoli.txt": 0.09}
T = 100 # total time steps
vmax = [0.0 for i in range(len(datapoints[0]))]
axis_range = [[0.0, 0.0] for i in range(len(datapoints[0]))]
c1 = 1.0 # acceleration constant for cognitive learning
c2 = 0.5 # acceleration constant for social learning
# obtain the range on each dimension and the maximum velocity on each dimension
dp = np.array(datapoints)
for i in range(len(dp[0])):
tmp = dp[0:len(dp), i:i+1]
max_val = tmp.max()
min_val = tmp.min()
if vmax[i] < (max_val - min_val) * 0.10:
vmax[i] = (max_val - min_val) * 0.10
axis_range[i][0] = min_val - 1
axis_range[i][1] = max_val + 1
np.random.seed(run) # seed for random
X = np.array(datapoints) # record particles" position
datapoints = X.tolist()
n = len(X) # data set scale
d = len(X[0]) # dimension
# calculate the density of particle using KDE
bandwidth = band_dict[dataname] # select bandwidth
kde = KernelDensity(kernel="gaussian", bandwidth=bandwidth).fit(X.copy())
f = [math.exp(a) for a in kde.score_samples(X)] # densities of datapoints in KDE
# train the RBF network
t = np.array([[var] for var in f])
net = newrb.designrb(X, t, 0, spread_dict[filename], round(0.1*n), n)
print("Building RBF network is done!")
for i in range(n):
f[i] = net(X[i].reshape((1, d)))
order = sorted(enumerate(f), key=lambda x: x[1], reverse=True) # outliers' assignment order
pbest = np.array(X) # pbest
pbest_density = copy.deepcopy(f) # pbest's density
# calculate leader for each particle
neibrs_indices = calculate_neighborhood(pbest, n) # neighbors for each data point
lbest_index = [i for i in range(n)] # the lbest's index
lbest = np.array(X) # lbest's current position
k = 2 # number of leader that each particle almost can follow
neibrs = [] # store the leader set for each particle
for i in range(n):
tmp = []
cnt = 0
for j in range(1, n):
if f[i] < f[neibrs_indices[i][j]]:
tmp.append(neibrs_indices[i][j])
cnt += 1
if cnt == k or j == n - 1:
if not tmp:
tmp.append(neibrs_indices[i][0])
neibrs.append(tmp)
lbest_index[i] = tmp[0] # select the first particle in its leader set as the initial leader
lbest[i] = np.array(X[lbest_index[i]]) # obtain the position of lbest
break
# accquire the mean distance between particle and its leader, and the distance list of each pair
avg_distance, distance_list = PublicFunctions.getAvgerageDistance(lbest_index, datapoints)
bound = [0] * n # use to indicate whether the particle is merged with its leader, '1' means merged, '0' means no
velocity = np.array([np.array([0.0 for i in range(0, d)]) for j in range(0, n)]) # initialize the velocity to 0.0
w = [1.0] * n # initial inertial weight to 1.0
for t in range(T): # start iteration
pbest_Mat = pbest - X
lbest_Mat = lbest - X
# update velocity and position
for i in range(n):
# if the particle is merged with its leader, it do not need to fly, just change its position to its leader
if bound[i]:
continue
for j in range(d):
r1 = np.random.random()
r2 = np.random.random()
# update velocity
velocity[i][j] = w[i]*velocity[i][j] + c1 * r1 * (pbest_Mat[i][j]) + c2 * r2 * (lbest_Mat[i][j])
# velocity clamped
# v = vmax[j] - vmin[j]
if velocity[i][j] > vmax[j]:
velocity[i][j] = vmax[j]
elif velocity[i][j] < -vmax[j]:
velocity[i][j] = -vmax[j]
X[i][j] = X[i][j] + velocity[i][j] # calculate trial position
# use RBFnn to estimate the density of the trail position
new_density = net(X[i].reshape((1, d)))
w[i] = new_density/pbest_density[i]
# if the trial position is not bad than pbest, update the position to trail position
f[i] = new_density
if new_density >= pbest_density[i]:
continue
delta = ((pbest_density[i] - new_density)/pbest_density[i])*10 # calculate delta
# according to the density difference between trail and pbest, adopt N~(0, 1/np.sqrt(2*pi)) to calculate
# probability
prob = stats.norm(0, 1/np.sqrt(2*np.pi)).pdf(delta)
rand = np.random.random() # generate a random number
if rand > prob: # if the random number is higher than the probability, the particle return to pbest
velocity[i] = 0.0 # velocity reset to 0.0
X[i] = pbest[i] # position update to pbest
f[i] = pbest_density[i] # current density update to pbest's density
ind = (neibrs[i].index(lbest_index[i]) + 1) % len(neibrs[i]) # select the next particle as leader
lbest_index[i] = neibrs[i][ind]
# end-for
# update pbest in order
for i in range(n):
if bound[order[i][0]]:
pbest[order[i][0]] = np.array(pbest[lbest_index[order[i][0]]])
# update pbest
elif f[order[i][0]] > pbest_density[order[i][0]]:
pbest_density[order[i][0]] = f[order[i][0]]
pbest[order[i][0]] = np.array(X[order[i][0]])
# end-for
# jude whether the particle should merged to its leader, if yes, update its pbest to its leader
mark = [0] * n # mark whether the particle should merge with its leader
for i in range(n):
if not bound[i] and PublicFunctions.getDistance(pbest[i], pbest[lbest_index[i]]) <= avg_distance:
mark[i] = 1
# end-for
for i in range(n):
if mark[order[i][0]] or bound[order[i][0]]:
pbest[order[i][0]] = np.array(pbest[lbest_index[order[i][0]]])
X[order[i][0]] = np.array(X[lbest_index[order[i][0]]])
bound[order[i][0]] = 1
# update the lbest's position
lbest[order[i][0]] = np.array(X[lbest_index[order[i][0]]])
# end-for
if t == T - 1:
labels, k = labeling(datapoints, bound, lbest_index, order)
# Draw the final clustering result
# PublicFunctions.drawClusteringResultGraph(pl, datapoints, labels, k, axis_range)
# pl.show()
# end-for
return labels, k
import sys
import PublicFunctions as pf
import WPicAdjust
import WUploadData
import os
import GlobalValues as gv
from PyQt5 import QtCore, QtGui, QtWidgets
from PyQt5.QtWidgets import QFileDialog
SavePathDefualt = pf.GetDesktopPath()
class Ui_WSCWindow(object):
def setupUi(self, WSCWindow):
WSCWindow.setObjectName("WSCWindow")
WSCWindow.resize(397, 343)
WSCWindow.setMinimumSize(QtCore.QSize(397, 321))
WSCWindow.setMaximumSize(QtCore.QSize(397, 343))
icon = QtGui.QIcon()
icon.addPixmap(QtGui.QPixmap(os.getcwd() + "/wsc.ico"),
QtGui.QIcon.Normal, QtGui.QIcon.Off)
WSCWindow.setWindowIcon(icon)
WSCWindow.setIconSize(QtCore.QSize(36, 36))
# 功能标题字体
TitleFont = QtGui.QFont()
TitleFont.setFamily("方正姚体")
TitleFont.setPointSize(11)
TitleFont.setBold(True)
TitleFont.setWeight(50)
# 按钮字体
def SelectFilePath(target,StringValue):
if target =='dir':
StringValue.set(tkinter.filedialog.askdirectory(initialdir=pf.GetDesktopPath()))
else:
StringValue.set(tkinter.filedialog.askopenfilename(initialdir=pf.GetDesktopPath()))
def LoadView():
root = tkinter.Tk()
root.title('微商城工具-v%s' % Version)
ico = os.getcwd() + r'\wsc.ico'
root.iconbitmap(ico)
#root.attributes("-alpha", 0.1)
screen_width = root.winfo_screenwidth() // 2 - 187
screen_height = root.winfo_screenheight() // 2 - 260
windows_params = Check_System_Info(
root.winfo_screenwidth() // 2 - 187, root.winfo_screenheight() // 2 - 260)
root.geometry(windows_params["geometry"])
root.maxsize(windows_params["maxsize-x"], windows_params["maxsize-y"])
root.minsize(windows_params["maxsize-x"], windows_params["maxsize-y"])
textwidth = windows_params["textwidth"]
buttonwidth = windows_params["buttonwidth"]
height = windows_params["height"]
# *********************************图像自动处理*****************************************
# 功能区域-标题
ImageAdjustForm = Frame(width=windows_params["maxsize-x"], height=windows_params["maxsize-y"]/3,bg='#87CEEB')
ImageAdjustForm.grid(row=0, column=0,padx=0,pady=0)
ToolTitle = Label(ImageAdjustForm, text='图片自动处理' ,font='微软雅黑 -15 bold',bg='#87CEEB').grid(
column=2, row=1, columnspan=2, sticky=E + W)
# 功能区域-图像处理-文件位置选择
ImageAdjustLabel = Label(ImageAdjustForm, text='图片路径 ：',bg='#87CEEB').grid(
column=1, row=2, columnspan=1, sticky=W)
ImageAdjustPathTextValue = StringVar()
ImageAdjustPathText = Entry(ImageAdjustForm, font='微软雅黑 -11', bg='#87CEEB', width=textwidth, state='readonly', textvariable=ImageAdjustPathTextValue, justify=LEFT).grid(
column=2, row=2, sticky=N + S + E + W, columnspan=2)
ImageAdjustPathButton = Button(ImageAdjustForm, text="✚", width=9, bg='#F0FFFF',height=height, command=lambda:SelectFilePath('dir',ImageAdjustPathTextValue)).grid(column=4, row=2, sticky=W+E, rowspan=1)
# 功能区域-图像处理-文件保存位置选择
ImageAdjustLabel = Label(ImageAdjustForm, text='保存路径 ：',bg='#87CEEB').grid(
column=1, row=3, columnspan=1, sticky=W)
ImageSavePathTextValue = StringVar()
ImageSavePathTextValue.set(pf.GetDesktopPath()+'/'+'微商城图片')
ImageSavePathText = Entry(ImageAdjustForm, font='微软雅黑 -11',bg='#87CEEB', width=textwidth, state='readonly', textvariable=ImageSavePathTextValue, justify=LEFT).grid(
column=2, row=3, sticky=N + S + E + W, columnspan=2)
ImageSavePathButton = Button(ImageAdjustForm, text="✚", width=9, bg='#F0FFFF',height=height, command=lambda:SelectFilePath('dir',ImageSavePathTextValue)).grid(column=4, row=3, sticky=W+E, rowspan=1)
# 功能区域-图像处理-宽度
ImageWidthLabel = Label(ImageAdjustForm, text='默认宽度 ：',bg='#87CEEB').grid(
column=1, row=4, columnspan=1, sticky=W)
ImageWidthTextValue = StringVar()
ImageWidthTextValue.set(640)
ImageWidthText = Entry(ImageAdjustForm, font='微软雅黑 -18', width=4,bg='#87CEEB', textvariable=ImageWidthTextValue, justify=CENTER).grid(
column=2, row=4, sticky=N + S + E + W, columnspan=1)
# 功能区域-图像处理-执行情况打印
ImageAdjustProcessTextValue = StringVar()
gv._global_label = ImageAdjustProcessTextValue
ImageAdjustProcessTextValue.set('准备开始')
ImageAdjustProcessLabel= Label(ImageAdjustForm, font='微软雅黑 -9',justify=LEFT, textvariable=ImageAdjustProcessTextValue).grid(column=1, row=5, sticky=N + S + E + W, columnspan=4)
# 功能区域-图像处理-执行
ImageAdjustStartButton =Button(ImageAdjustForm, text="开始处理", font='微软雅黑 -15 bold',width=9, bg='#F0FFFF',height=height, command=lambda:pf.Add_Thread(lambda:WPicAdjust.MultiStart(ImageAdjustPathTextValue.get(),ImageSavePathTextValue.get()),'setDaemon')).grid(column=3, row=4, sticky=W+E, columnspan=4)
# *********************************商品信息上传*****************************************
# 功能区域-信息上传-标题
ProductInfoUploadForm = Frame(width=windows_params["maxsize-x"], height=windows_params["maxsize-y"]/3,bg='#98FB98')
ProductInfoUploadForm.grid(row=1, column=0,padx=0,pady=3)
# 窗口主循环
root.mainloop()
def setUp(self):
self.driver = PublicFunctions.appium_start()
xy = self.driver.get_window_size()
self.x = xy['width']
self.y = xy['height']
"data/D31.txt": 31, "data/dim512.txt": 16, "data/iris.txt": 3, "data/wdbc.txt": 2, "data/seeds.txt": 3,
"data/segmentation_all.txt": 4, "data/ecoli.txt": 8, "data/appendicitis.txt": 7}
optics_radius = {"data/aggregation.txt": 1.40, "data/flame.txt": 1.3, "data/DS850.txt": 0.4, "data/R15.txt": 0.55,
"data/D31.txt": 0.95, "data/dim512.txt": 0.36, "data/iris.txt": 0.12, "data/wdbc.txt": 0.49,
"data/seeds.txt": 0.24, "data/segmentation_all.txt": 0.15, "data/ecoli.txt": 0.26,
"data/appendicitis.txt": 0.3}
optics_num = {"data/aggregation.txt": 6, "data/flame.txt": 7, "data/DS850.txt": 8, "data/R15.txt": 11,
"data/D31.txt": 34, "data/dim512.txt": 22, "data/iris.txt": 4, "data/wdbc.txt": 50, "data/seeds.txt": 15,
"data/segmentation_all.txt": 1, "data/ecoli.txt": 40, "data/appendicitis.txt": 10}
# 画图的图尺寸
range_dict = {"data/aggregation.txt": [[2, 38], [0, 35]], "data/flame.txt": [[-2, 16], [12, 30]],
"data/R15.txt": [[2, 18], [2, 18]], "data/D31.txt": [[0, 35], [0, 35]],
"data/DS850.txt": [[-1, 5], [-0.5, 6.5]]}
filename, data_set_type = PublicFunctions.select_file()
datapoints, labels_true = PublicFunctions.readRawDataFromFile(filename) # Read data from file
if data_set_type == '2' or filename == "data/dim512.txt":
min_max_scaler = preprocessing.MinMaxScaler()
datapoints = min_max_scaler.fit_transform(datapoints)
choice = input("""select algorithm:
SCA2-------------1
SCA--------------2
K means----------3
HAC--------------4
DBSCAN-----------5
OPTICS-----------6
....>>>""")
times = 1 if choice not in ["1", "2", "3"] else 20
result = []
mean = []
