def test_get_matching_arr4(self):
list1 = ["a", "b", "c", "d"]
list2 = []
result = sorted(dut.getMatchingArr(list1, list2))
expected = []
assert result == expected
def test_get_matching_arr5(self):
list1 = "notOCR"
list2 = ["F", "E", "D", "E", "D", "C", "B", "A"]
result = dut.getMatchingArr(list1, list2)
expected = "notOCR"
print(result)
assert result == expected
def test_get_matching_arr2(self):
list1 = ["a", "b", "c", "d"]
list2 = ["F", "E", "D", "E", "D", "C", "B", "A"]
result = sorted(dut.getMatchingArr(list1, list2))
expected = ["a", "b", "c", "d"]
assert result == expected
def CheckHarmfulOCR(self):
if self.noImg():
return
responseOCR = googleVision.requestOCR(objectImg)
harmfulList = database.Get_Harmful_List()
matchingArr = googleVision.getMatchingArr(responseOCR, harmfulList)
self.printIntersection("generally harmful ingredients", matchingArr)
def CheckIngredientsRecognition(self, username):
if self.noImg():
return
tags_array = googleVision.requestRecognition(objectImg)
ingredients_array = database.Get_Custom_Ingredients(tags_array)
self.subcanvas = tk.Canvas(app.canvas, height=100000000)
self.subcanvas.pack(padx=(50, 50), pady=(550, 0))
# create list of all the custom items relevant to the item
# create buttons that can display these lists with printIngredients()
max = 0
for i in range(0, len(tags_array)): # Rows
if ingredients_array[i] != '0':
ahoy = partial(self.printIngredients, self.subcanvas,
ingredients_array[i], i)
self.itemList[i] = tk.Button(self.subcanvas,
text=tags_array[i],
borderwidth=2,
relief="solid",
height=2,
font=('helvetica', 15),
command=ahoy)
self.itemList[i].grid(row=i, column=0, padx=10, sticky="W")
if self.itemList[i].winfo_width() > max:
max = self.itemList[i].winfo_width()
userList = database.Get_Personal_List(username)
# get the matching array
matchingArr = googleVision.getMatchingArr(ingredients_array, userList)
self.printIntersection("ingredients matching your personal list",
matchingArr)
def CheckIngredientsOCR(self, username):
if self.noImg():
return
responseOCR = googleVision.requestOCR(objectImg)
userList = database.Get_Personal_List(username)
matchingArr = googleVision.getMatchingArr(responseOCR, userList)
self.printIntersection("ingredients matching your personal list", matchingArr)
def CheckHarmfulRecognition(self):
if self.noImg():
return
responseRec = googleVision.requestRecognition(objectImg)
responseRec = database.Get_Custom_Ingredients(responseRec)
harmfulList = database.Get_Harmful_List()
matchingArr = googleVision.getMatchingArr(responseRec, harmfulList)
self.printIntersection("generally harmful ingredients", matchingArr)
def test_get_matching_arr6(self):
list1 = "notRecognition"
list2 = ["F", "E", "D", "E", "D", "C", "B", "A"]
result = dut.getMatchingArr(list1, list2)
expected = "notRecognition"
assert result == expected
#
# class RequestOCRTest(TestCase):
#
#
# def requestOCR(img_path):
# img_data = prepareRequest(img_path, 'TEXT_DETECTION', 1)
# response = requests.post(url,
# data=img_data,
# params={'key': key},
# headers={'Content-Type': 'application/json'})
# try:
# response = response.json()["responses"][0]["textAnnotations"][0]["description"].lower()
# return response
# except KeyError:
# return "notOCR"
def test_get_matching_arr0(self):
list1 = ["apple", "banana", "orange", "grape"]
list2 = ["red", "orange", "yellow", "green"]
result = sorted(dut.getMatchingArr(list1, list2))
assert result == ["orange"]