feat(claimSubmit) - wait fix 2
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@@ -121,28 +121,32 @@ class AutomationMassHealthClaimStatusCheck:
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def step2(self):
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def step2(self):
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try:
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try:
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# Wait until page is fully loaded
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# Wait until page is fully loaded
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try:
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WebDriverWait(self.driver, 30).until(
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WebDriverWait(self.driver, 30).until(
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lambda d: d.execute_script("return document.readyState") == "complete"
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lambda d: d.execute_script("return document.readyState") == "complete"
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)
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)
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# Small buffer for async content/lazy load
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except Exception:
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time.sleep(2)
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# proceed anyway if not perfect
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print("Warning: document.readyState did not become 'complete' within timeout")
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# ---- Take full page screenshot ----
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# ---- Take full page screenshot ----
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screenshot_path = os.path.join(self.download_dir, f"ss_{self.memberId}.png")
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screenshot_path = os.path.join(self.download_dir, f"ss_{self.memberId}.png")
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# JS to get sizes
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# Get sizes and devicePixelRatio (DPR)
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total_width = self.driver.execute_script("return Math.max(document.body.scrollWidth, document.documentElement.scrollWidth, document.documentElement.clientWidth);")
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total_width = int(self.driver.execute_script(
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total_height = self.driver.execute_script("return Math.max(document.body.scrollHeight, document.documentElement.scrollHeight, document.documentElement.clientHeight);")
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"return Math.max(document.body.scrollWidth, document.documentElement.scrollWidth, document.documentElement.clientWidth);"
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viewport_width = self.driver.execute_script("return document.documentElement.clientWidth;")
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))
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viewport_height = self.driver.execute_script("return window.innerHeight;")
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total_height = int(self.driver.execute_script(
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"return Math.max(document.body.scrollHeight, document.documentElement.scrollHeight, document.documentElement.clientHeight);"
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))
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viewport_width = int(self.driver.execute_script("return document.documentElement.clientWidth;"))
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viewport_height = int(self.driver.execute_script("return window.innerHeight;"))
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dpr = float(self.driver.execute_script("return window.devicePixelRatio || 1;"))
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# Ensure integers
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# Debug print
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total_width = int(total_width)
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print(f"total: {total_width}x{total_height}, viewport: {viewport_width}x{viewport_height}, dpr: {dpr}")
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total_height = int(total_height)
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viewport_width = int(viewport_width)
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viewport_height = int(viewport_height)
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# number of vertical steps
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# Build slice rectangles in CSS pixels
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rectangles = []
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rectangles = []
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y = 0
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y = 0
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while y < total_height:
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while y < total_height:
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@@ -152,35 +156,88 @@ class AutomationMassHealthClaimStatusCheck:
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y += viewport_height
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y += viewport_height
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stitched_image = Image.new('RGB', (total_width, total_height))
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stitched_image = Image.new('RGB', (total_width, total_height))
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stitched_y = 0
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for idx, rect in enumerate(rectangles):
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for idx, rect in enumerate(rectangles):
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scroll_y = rect[1]
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scroll_y = rect[1]
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# Scroll to the position (do not trigger reload)
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# Scroll to target Y and wait until pageYOffset is near target
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self.driver.execute_script(f"window.scrollTo(0, {scroll_y});")
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self.driver.execute_script(f"window.scrollTo(0, {scroll_y});")
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# Allow time for lazy content to load after scroll (tweak if needed)
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time.sleep(1.5)
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# Wait until the browser actually reports the desired scroll position (with a tolerance)
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max_wait = 5.0
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start = time.time()
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while time.time() - start < max_wait:
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try:
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cur = int(self.driver.execute_script("return Math.round(window.pageYOffset || window.scrollY || 0);"))
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except Exception:
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cur = -1
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# Accept small differences due to rounding / subpixel scrolling
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if abs(cur - scroll_y) <= 2:
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break
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time.sleep(0.05)
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else:
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# timed out waiting for scroll to finish - print but continue
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print(f"Warning: scroll to {scroll_y} didn't reach expected offset (got {cur})")
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# Small buffer to let lazy content for this slice load (tweak if needed)
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time.sleep(0.6)
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# capture viewport screenshot as PNG bytes
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# capture viewport screenshot as PNG bytes
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png = self.driver.get_screenshot_as_png() # returns bytes
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png = self.driver.get_screenshot_as_png()
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img = Image.open(BytesIO(png))
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img = Image.open(BytesIO(png)).convert("RGB")
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# If full page width > viewport width (rare), optionally resize/crop:
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# The captured PNG width/height are in *device pixels* (scaled by dpr).
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if img.width != total_width:
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# Compute crop box in device pixels.
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# Try to crop or expand: prefer cropping center horizontally
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css_viewport_w = viewport_width
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img = img.crop((0, 0, total_width, img.height))
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css_viewport_h = viewport_height
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dev_viewport_w = int(round(css_viewport_w * dpr))
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dev_viewport_h = int(round(css_viewport_h * dpr))
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# Compute paste height (might be partial for last slice)
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# If captured image dimensions differ from expected device viewport,
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paste_height = rect[3] - rect[1] # rect bottom - rect top
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# try to adjust (some platforms include browser chrome etc.). We'll compute offsets intelligently.
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# If captured image has same viewport height, we may need to crop to paste_height
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cap_w, cap_h = img.width, img.height
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if img.height > paste_height:
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img = img.crop((0, 0, img.width, paste_height))
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stitched_image.paste(img, (0, rect[1]))
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# If cap_h > dev_viewport_h (e.g., when headless gives larger image),
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# center vertically or just use top-left crop of size dev_viewport_h.
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crop_left = 0
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crop_top = 0
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crop_right = min(cap_w, dev_viewport_w)
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crop_bottom = min(cap_h, dev_viewport_h)
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# Save stitched image
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# Defensive: if screenshot is smaller than expected, adjust crop sizes
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if crop_right <= crop_left or crop_bottom <= crop_top:
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print("Captured image smaller than expected viewport; using full captured image.")
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crop_left, crop_top, crop_right, crop_bottom = 0, 0, cap_w, cap_h
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cropped = img.crop((crop_left, crop_top, crop_right, crop_bottom))
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# Convert back to CSS pixels for paste: compute paste height based on rect height
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paste_height_css = rect[3] - rect[1] # CSS pixels
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# The cropped image height in CSS pixels:
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cropped_css_height = int(round(cropped.height / dpr))
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# If the cropped CSS height is larger than required (last slice), crop it in CSS space
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if cropped_css_height > paste_height_css:
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# compute pixels to keep in device pixels
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keep_dev_h = int(round(paste_height_css * dpr))
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cropped = cropped.crop((0, 0, cropped.width, keep_dev_h))
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cropped_css_height = paste_height_css
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# Convert cropped (device pixels) back to image suitable for pasting:
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# For pasting into stitched_image we need CSS-pixel sized image.
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# Resize from device pixels to CSS pixels if DPR != 1
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if dpr != 1.0:
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target_w = int(round(cropped.width / dpr))
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target_h = int(round(cropped.height / dpr))
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cropped = cropped.resize((target_w, target_h), Image.LANCZOS)
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# Paste at the correct vertical CSS pixel position
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paste_y = rect[1]
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stitched_image.paste(cropped, (0, paste_y))
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# Save final stitched image
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stitched_image.save(screenshot_path)
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stitched_image.save(screenshot_path)
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print("Screenshot saved at:", screenshot_path)
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print("Screenshot saved at:", screenshot_path)
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return {
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return {
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