How to use capture_page_screenshot method in robotframework-appiumlibrary

Best Python code snippet using robotframework-appiumlibrary_python

WatchUI.py

Source:WatchUI.py

...147                self.robotlib.fail("*INFO* Save file with difference")148            else:149                img_diff = cv.hconcat([self.img1, self.img2])150                time_ = str(time.time())151                self.seleniumlib.capture_page_screenshot(152                    save_folder + "/Img" + time_ + self.format153                )154                cv.imwrite(save_folder + "/Img" + time_ + self.format, img_diff)155                self.robotlib.log_to_console(156                    "Image has diff: {} ".format(self.score)157                )158        else:159            raise AssertionError("Path doesnt exists")160    def compare_screen(self, path1, save_folder=save_folder_path, ssim=starts_ssim, image_format=starts_format_image):161        """	Compare the already save image with the browser screen162        Compares the already saved image with the screen that is on the screen. If there is a difference, it saves the163        highlighted image to the: ../Save Image164        path1 = path to the image to be compared to screen165        Example: Compare screen ../image1.png166        """167        self._check_dir(save_folder)168        self._check_ssim(float(ssim))169        self._check_image_format(image_format)170        save_folder = self.save_folder171        self.seleniumlib.capture_page_screenshot(save_folder + "/testscreen.png")172        path2 = save_folder + "/testscreen.png"173        if os.path.exists(path1):174            if os.path.exists(path2):175                # Compare image176                self._compare_images(path1, path2)177                # Create frame in diff area178                for c in self.cnts:179                    (x, y, w, h) = cv.boundingRect(c)180                    cv.rectangle(self.img1, (x, y), (x + w, y + h), (0, 0, 255), 2)181                    cv.rectangle(self.img2, (x, y), (x + w, y + h), (0, 0, 255), 2)182                # Show image183                self.robotlib.log_to_console(self.ssim)184                if float(self.score) < self.ssim:185                    self.robotlib.log_to_console(self.ssim)186                    img_diff = cv.hconcat([self.img1, self.img2])187                    time_ = str(time.time())188                    score_percen = float(self.score) * 100189                    self.seleniumlib.capture_page_screenshot(190                        save_folder + "/Img" + time_ + self.format191                    )192                    cv.imwrite(save_folder + "/Img" + time_ + self.format, img_diff)193                    self.robotlib.fail("Image has diff: {} %".format(score_percen))194                else:195                    img_diff = cv.hconcat([self.img1, self.img2])196                    time_ = str(time.time())197                    self.seleniumlib.capture_page_screenshot(198                        save_folder + "/Img" + time_ + self.format199                    )200                    cv.imwrite(save_folder + "/Img" + time_ + self.format, img_diff)201                    self.robotlib.log_to_console(202                        "Image has diff: {} ".format(self.score)203                    )204            else:205                raise AssertionError("Path2 doesnt found:" + path2)206        else:207            raise AssertionError("Path1 doesnt found" + path1)208        if os.path.exists(save_folder + "/testscreen.png"):209            os.remove(save_folder + "/testscreen.png")210    def create_area(211            self, x1, y1, x2, y2, save_folder=save_folder_path, screen_name="screen", image_format=starts_format_image212    ):213        """  Creates a cut-out from the screen214        Creates a cut-out from the screen that is on screen and saves it in the folder: ../Create area215        x1 a y1 = x and y coordinates for the upper left corner of the square216        x2 and y2 = x and y coordinates for the bottom right corner of the square217        Example: Compare making area 0 0 25 25218        """219        self._check_dir(save_folder)220        save_folder = self.save_folder221        self._check_image_format(image_format)222        self.seleniumlib.capture_page_screenshot(save_folder + '/testscreen.png')223        img = save_folder + '/testscreen.png'224        img_crop = cv.imread(img)225        crop_img = img_crop[226                   int(x1): int(y2), int(y1): int(x2)227                   ]  # Crop from {x, y, w, h } => {0, 0, 300, 400}228        if screen_name == "screen":229            cv.imwrite(save_folder + '/screen' + str(time.time()) + self.format, crop_img)230        else:231            cv.imwrite(save_folder + '/' + screen_name + self.format, crop_img)232    def create_screens(233            self, *resolution, save_folder=save_folder_path, screen_name="screen", image_format=starts_format_image234    ):235        """ Creates a screenshot on the screen236        Creates a screenshot on the screen, that corresponds to the specified resolution, so it is possible to create on one237        page an infinite number of screens with different resolutions.238        Screens are stored in the folder: ../Create rescreens239        *resolutin = The specified resolution in width and height format, you can enter as many as needed240        Warning: When you create one screen, name will be screen.png, but when you create more than one screen from same 4241        page, name will be screen screen_name_width_height.png242        Example: compare making rescreens 800 600 1280 800 1440 900 Creates 3 screens in 800x600 1280x800 and 1440x90243        """244        self._check_dir(save_folder)245        save_folder = self.save_folder246        self._check_image_format(image_format)247        leng_reso = len(resolution)248        if leng_reso % 2 == 0:249            if (leng_reso / 2) == 1:250                self.seleniumlib.set_window_size(int(resolution[0]), int(resolution[1]))251                time.sleep(1)252                self.seleniumlib.capture_page_screenshot(253                    save_folder254                    + "/"255                    + screen_name256                    + self.format257                )258            else:259                x = leng_reso / 2260                i = 0261                a = 0262                while i < x:263                    width = int(resolution[0 + a])264                    height = int(resolution[1 + a])265                    self.seleniumlib.set_window_size(width, height)266                    time.sleep(1)267                    self.seleniumlib.capture_page_screenshot(268                        save_folder269                        + "/"270                        + screen_name271                        + str(width)272                        + "x"273                        + str(height)274                        + self.format275                    )276                    a += 2277                    i += 1278        else:279            raise AssertionError("Bad numbers of resolution")280    def compare_screen_areas(281            self, x1, y1, x2, y2, path1, save_folder=save_folder_path, ssim=starts_ssim, image_format=starts_format_image282    ):283        """Creates a cut-out from the screen284        Creates a cut-out from the screen that is on the screen and compares it to a previously created285        x1 and y1 = x and y coordinates for the upper left corner of the square286        x2 and y2 = x and y coordinates for the bottom right corner of the square287        path1 = Path to an already created viewport with which we want to compare the viewport created by us288        Example: Compare screen area 0 0 25 25 ../Crop_Image1.png Creates Crop_Image1.png from 0, 0, 25, 25289        """290        self._check_dir(save_folder)291        self._check_ssim(ssim)292        self._check_image_format(image_format)293        save_folder = self.save_folder294        self.seleniumlib.capture_page_screenshot(save_folder + '/test1.png')295        path2 = save_folder + '/test1.png'296        if os.path.exists(path1):297            if os.path.exists(path2):298                # load img299                img1 = cv.imread(path1, 1)  # img from docu300                img2 = cv.imread(path2, 1)  # img from screenshot301                # convert to grey302                gray_img1 = cv.cvtColor(img1, cv.COLOR_BGR2GRAY)303                gray_img2 = cv.cvtColor(img2, cv.COLOR_BGR2GRAY)304                # spliting area305                crop_img = gray_img2[306                           int(x1): int(y2), int(y1): int(x2)307                           ]  # Crop from {x, y, w, h } => {0, 0, 300, 400}308                # SSIM diff img309                (self.score, diff) = structural_similarity(310                    gray_img1, crop_img, full=True311                )312                diff = (diff * 255).astype('uint8')313                # Threshold diff img314                thresh = cv.threshold(315                    diff, 0, 255, cv.THRESH_BINARY_INV | cv.THRESH_OTSU316                )[1]317                cnts = cv.findContours(318                    thresh.copy(), cv.RETR_EXTERNAL, cv.CHAIN_APPROX_SIMPLE319                )320                cnts = imutils.grab_contours(cnts)321                crop_img_color = img2[int(x1): int(y2), int(y1): int(x2)]322                # Create frame in diff area323                for c in cnts:324                    (x, y, w, h) = cv.boundingRect(c)325                    cv.rectangle(img1, (x, y), (x + w, y + h), (0, 0, 255), 2)326                    cv.rectangle(crop_img_color, (x, y), (x + w, y + h), (0, 0, 255), 2)327                # Show image328                if float(self.score) < self.ssim:329                    self.robotlib = BuiltIn().get_library_instance('BuiltIn')330                    img_diff = cv.hconcat([img1, crop_img_color])331                    time_ = str(time.time())332                    self.seleniumlib.capture_page_screenshot(333                        save_folder + '/img' + time_ + '.png'334                    )335                    cv.imwrite(save_folder + '/img' + time_ + self.format, img_diff)336                    self.robotlib.fail('Image has diff: {} '.format(self.score))337                    score_percen = float(self.score) * +100338                    self.robotlib.fail('Image has diff: {} %'.format(score_percen))339                else:340                    img_diff = cv.hconcat([self.img1, self.img2])341                    time_ = str(time.time())342                    self.seleniumlib.capture_page_screenshot(343                        save_folder + "/Img" + time_ + self.format344                    )345                    cv.imwrite(save_folder + "/Img" + time_ + self.format, img_diff)346                    self.robotlib.log_to_console(347                        "Image has diff: {} ".format(self.score)348                    )349            else:350                raise AssertionError("New screen doesnt exist anymore")351        else:352            raise AssertionError("You put bad path")353        if os.path.exists(save_folder + '/test1.png'):354            os.remove(save_folder + '/test1.png')355    def compare_screen_without_areas(356            self, path1, *args, save_folder=save_folder_path, ssim=starts_ssim, image_format=starts_format_image357    ):358        """359        Compares two pictures, which have parts to be ignored360        x1 and y1 = x and y coordinates for the upper left corner of the ignored area square361        x2 and y2 = x and y coordinates for the lower right corner of the square of the ignored part362        Attention! It is always necessary to enter in order x1 y1 x2 y2 x1 y1 x2 y2 etc ...363        Compare screen without areas ../Image1.png 0 0 30 40 50 50 100 100364        Creates 2 ignored parts at 0,0, 30,40 and 50, 50, 100, 100365        """366        self._check_dir(save_folder)367        self._check_ssim(ssim)368        self._check_image_format(image_format)369        save_folder = self.save_folder370        self.seleniumlib.capture_page_screenshot(save_folder + "/test1.png")371        path2 = save_folder + "/test1.png"372        if os.path.exists(path1) and os.path.exists(path2):373            lt = len(args)374            img1 = cv.imread(path1, 1)375            img2 = cv.imread(path2, 1)376            if lt % 4 == 0:377                x = lt / 4378                self.robotlib.log_to_console(x)379                i = 0380                a = 0381                while i < x:382                    color = (0, 0, 0)383                    x1 = int(args[0 + a])384                    y1 = int(args[1 + a])385                    x2 = int(args[2 + a])386                    y2 = int(args[3 + a])387                    cv.rectangle(img1, (x1, y1), (x2, y2), color, -1)388                    cv.rectangle(img2, (x1, y1), (x2, y2), color, -1)389                    a += 4390                    i += 1391                cv.namedWindow("image", cv.WINDOW_NORMAL)392                # convert to grey393                gray_img1 = cv.cvtColor(img1, cv.COLOR_BGR2GRAY)394                gray_img2 = cv.cvtColor(img2, cv.COLOR_BGR2GRAY)395                # SSIM diff Img396                (self.score, diff) = structural_similarity(397                    gray_img1, gray_img2, full=True398                )399                diff = (diff * 255).astype("uint8")400                # Threshold diff Img401                thresh = cv.threshold(402                    diff, 0, 255, cv.THRESH_BINARY_INV | cv.THRESH_OTSU403                )[1]404                cnts = cv.findContours(405                    thresh.copy(), cv.RETR_EXTERNAL, cv.CHAIN_APPROX_SIMPLE406                )407                cnts = imutils.grab_contours(cnts)408                # Create frame in diff area409                for c in cnts:410                    (x, y, w, h) = cv.boundingRect(c)411                    cv.rectangle(img1, (x, y), (x + w, y + h), (0, 0, 255), 2)412                    cv.rectangle(img2, (x, y), (x + w, y + h), (0, 0, 255), 2)413                # Show image414                if float(self.score) < self.ssim:415                    img_diff = cv.hconcat([img1, img2])416                    time_ = str(time.time())417                    self.seleniumlib.capture_page_screenshot(418                        save_folder + "/Img" + time_ + self.format419                    )420                    cv.imwrite(save_folder + "/Img" + time_ + self.format, img_diff)421                    self.robotlib.fail("Image has diff: {} ".format(self.score))422                else:423                    img_diff = cv.hconcat([img1, img2])424                    time_ = str(time.time())425                    self.seleniumlib.capture_page_screenshot(426                        save_folder + "/Img" + time_ + self.format427                    )428                    cv.imwrite(save_folder + "/Img" + time_ + self.format, img_diff)429                    self.robotlib.log_to_console(430                        "Image has diff: {} ".format(self.score)431                    )432        else:433            raise AssertionError("Path doesnt exists")434    def compare_screen_get_information(435            self,436            path1,437            save_folder=save_folder_path,438            folder_csv="../CSV_ERROR",439            ssim=starts_ssim,440            image_format=starts_format_image441    ):442        """	Compare the already save image with the browser screen443        Compares the already saved image with the screen that is on the screen. If there is a difference, it saves the444        highlighted image to the: ../Save Image and making csv file with coordinates and elements which exist on this445        coordinates446        path1 = path to the image to be compared to screen447        Example: Compare screen ../image1.png448        """449        self._check_dir(save_folder)450        self._check_dir(folder_csv)451        self._check_ssim(ssim)452        self._check_image_format(image_format)453        save_folder = self.save_folder454        # Making screen455        self.seleniumlib.capture_page_screenshot(save_folder + "/test1.png")456        path2 = save_folder + "/test1.png"457        if os.path.exists(path1):458            if os.path.exists(path2):459                # load Img460                self._compare_images(path1, path2)461                # write coordinate462                with open(folder_csv + "/bug_coordinates.csv", "w") as csvfile:463                    writer = csv.writer(csvfile)464                    a = "path", "x_center", "y_center", "x", "y", "x1", "y1"465                    writer.writerow(a)466                    # Create frame in diff area467                    for c in self.cnts:468                        (x, y, w, h) = cv.boundingRect(c)469                        cv.rectangle(self.img1, (x, y), (x + w, y + h), (0, 0, 255), 2)470                        cv.rectangle(self.img2, (x, y), (x + w, y + h), (0, 0, 255), 2)471                        x2 = x + w472                        y2 = y + h473                        x_center = x + ((x2 - x) / 2)474                        y_center = y + ((y2 - y) / 2)475                        f = path1, x_center, y_center, x, y, x2, y2476                        writer.writerow(f)477                # Save image and show report478                if float(self.score) < self.ssim:479                    img_diff = cv.hconcat([self.img1, self.img2])480                    time_ = str(time.time())481                    self.seleniumlib.capture_page_screenshot(482                        save_folder + "/Img{0}.{1}".format(time_, self.format)483                    )484                    cv.imwrite(save_folder + "/Img{0}.{1}".format(time_, self.format), img_diff)485                    # start reading coordinates and saving element from coordinate486                    df = pd.read_csv(r"" + folder_csv + "/bug_coordinates.csv")487                    with open(488                            folder_csv + "/bug_co_and_name{0}.csv".format(str(time.time())),489                            "w",490                    ) as csv_name:491                        writer = csv.writer(csv_name)492                        a = "web-page", "x_center", "y_center", "class", "id", "name"493                        writer.writerow(a)494                        # Get information from position495                        for i in range(len(df)):...

_utils.py

Source:_utils.py

...25            elementValue = self.get_text_custom(xmlLocator)26            logger.info("Element Value %s" % elementValue)27            counter += 128            if (elementValue == text):29                self.seleniumlib.capture_page_screenshot()30                break31            elif (elementValue == "Error"):32                self.seleniumlib.capture_page_screenshot()33                raise ValueError("An error has occured!")34            elif (elementValue == "Queued") and (counter == 5):35                self.seleniumlib.capture_page_screenshot()36                break37            elif (counter > 120):38                self.seleniumlib.capture_page_screenshot()39                raise ValueError(("Expected value %s is not on screen") % (text))40            else:41                continue42    def _log_url_to_tracking_file(self):43        logUrls = self.builtIn.get_variable_value('${logUrls}')44        if logUrls == "Enabled":45            uiXmlContext = self.builtIn.get_variable_value('${uiXmlContext}')46            currentUrl = self.seleniumlib.get_location()47            suite = self.builtIn.get_variable_value('${SUITE_SOURCE}')48            test = self.builtIn.get_variable_value('${TEST_NAME}')49            fileName = os.path.join(os.path.expanduser('~'), "pageCoverage.csv")50            fo = open(fileName, "ab")51            #self.builtIn.log((("Appending to File: %s") % (fileName)), "INFO")52            baseUrl = self.__trunc_at(currentUrl, "/" , 3)...

AllureSeleniumPlugin.py

Source:AllureSeleniumPlugin.py

2from SeleniumLibrary import ScreenshotKeywords3from SeleniumLibrary.base import keyword, LibraryComponent4class AllureSeleniumPlugin(LibraryComponent):5    @keyword6    def capture_page_screenshot(self, filename='selenium-screenshot-{index}.png'):7        path = ScreenshotKeywords(ctx=self.ctx).capture_page_screenshot(filename)...

Automation Testing Tutorials

Learn to execute automation testing from scratch with LambdaTest Learning Hub. Right from setting up the prerequisites to run your first automation test, to following best practices and diving deeper into advanced test scenarios. LambdaTest Learning Hubs compile a list of step-by-step guides to help you be proficient with different test automation frameworks i.e. Selenium, Cypress, TestNG etc.