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Runtime error
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Update core/input_handler.py
Browse files- core/input_handler.py +182 -0
core/input_handler.py
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| 1 |
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def is_public_ip(url):
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| 2 |
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"""
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Checks whether the resolved IP address of a URL is public (non-local).
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Prevents SSRF by blocking internal addresses like 127.0.0.1 or 192.168.x.x.
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"""
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try:
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hostname = urlparse(url).hostname
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ip = socket.gethostbyname(hostname)
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ip_obj = ipaddress.ip_address(ip)
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return ip_obj.is_global # Only allow globally routable IPs
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except Exception as e:
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logger.warning(f"URL IP validation failed: {e}")
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return False
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def fetch_media_from_url(url):
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"""
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Downloads media from a URL. Supports images and videos.
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Returns PIL.Image or video file path.
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"""
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logger.info(f"Fetching media from URL: {url}")
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if not is_public_ip(url):
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logger.warning("Blocked non-public URL request (possible SSRF).")
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return None
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try:
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parsed_url = urlparse(url)
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ext = os.path.splitext(parsed_url.path)[-1].lower()
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headers = {"User-Agent": "Mozilla/5.0"}
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r = requests.get(url, headers=headers, timeout=10)
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if r.status_code != 200 or len(r.content) > 50 * 1024 * 1024:
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logger.warning(f"Download failed or file too large.")
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return None
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tmp_file = tempfile.NamedTemporaryFile(delete=False, suffix=ext)
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tmp_file.write(r.content)
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tmp_file.close()
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if ext in [".jpg", ".jpeg", ".png"]:
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return Image.open(tmp_file.name).convert("RGB")
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elif ext in [".mp4", ".avi", ".mov"]:
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return tmp_file.name
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else:
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logger.warning("Unsupported file type from URL.")
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return None
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except Exception as e:
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logger.error(f"URL fetch failed: {e}")
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return None
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# Input Validation Functions
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def validate_image(img):
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"""
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Validates the uploaded image based on size and resolution limits.
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Args:
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img (PIL.Image.Image): Image to validate.
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Returns:
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Tuple[bool, str or None]: (True, None) if valid; (False, reason) otherwise.
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"""
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logger.info("Validating uploaded image.")
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try:
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buffer = io.BytesIO()
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img.save(buffer, format="PNG")
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size_mb = len(buffer.getvalue()) / (1024 * 1024)
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if size_mb > MAX_IMAGE_MB:
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logger.warning("Image exceeds size limit of 5MB.")
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return False, "Image exceeds 5MB limit."
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if img.width > MAX_IMAGE_RES[0] or img.height > MAX_IMAGE_RES[1]:
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logger.warning("Image resolution exceeds 1920x1080.")
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return False, "Image resolution exceeds 1920x1080."
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| 75 |
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logger.info("Image validation passed.")
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return True, None
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except Exception as e:
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logger.error(f"Error validating image: {e}")
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| 80 |
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return False, str(e)
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| 81 |
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| 82 |
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def validate_video(path):
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"""
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Validates the uploaded video based on size and duration limits.
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Args:
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path (str): Path to the video file.
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Returns:
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Tuple[bool, str or None]: (True, None) if valid; (False, reason) otherwise.
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"""
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logger.info(f"Validating video file at: {path}")
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try:
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| 94 |
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size_mb = os.path.getsize(path) / (1024 * 1024)
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| 95 |
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if size_mb > MAX_VIDEO_MB:
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logger.warning("Video exceeds size limit of 50MB.")
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| 97 |
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return False, "Video exceeds 50MB limit."
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| 99 |
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cap = cv2.VideoCapture(path)
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| 100 |
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fps = cap.get(cv2.CAP_PROP_FPS)
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| 101 |
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frames = cap.get(cv2.CAP_PROP_FRAME_COUNT)
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duration = frames / fps if fps else 0
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cap.release()
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| 105 |
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if duration > MAX_VIDEO_DURATION:
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logger.warning("Video exceeds 30 seconds duration limit.")
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return False, "Video exceeds 30 seconds duration limit."
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logger.info("Video validation passed.")
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| 110 |
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return True, None
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| 111 |
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except Exception as e:
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logger.error(f"Error validating video: {e}")
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return False, str(e)
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| 114 |
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| 115 |
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# Input Resolution
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| 116 |
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def resolve_input(mode, uploaded_files, url):
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| 117 |
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"""
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| 118 |
+
Resolves the media input based on selected mode.
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| 119 |
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- If mode is 'Upload', accepts either:
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| 120 |
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* 1–5 images (PIL.Image)
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* OR 1 video file (file path as string)
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| 122 |
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- If mode is 'URL', fetches remote image or video.
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| 123 |
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| 124 |
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Args:
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| 125 |
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mode (str): 'Upload' or 'URL'
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| 126 |
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uploaded_files (List[Union[PIL.Image.Image, str]]): Uploaded media
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| 127 |
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url (str): URL to image or video
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| 128 |
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| 129 |
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Returns:
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| 130 |
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List[Union[PIL.Image.Image, str]] or None
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| 131 |
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"""
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| 132 |
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try:
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logger.info(f"Resolving input for mode: {mode}")
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| 134 |
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| 135 |
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if mode == "Upload":
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| 136 |
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if not uploaded_files:
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| 137 |
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logger.warning("No upload detected.")
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| 138 |
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return None
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| 139 |
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| 140 |
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image_files = [f for f in uploaded_files if isinstance(f, Image.Image)]
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| 141 |
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video_files = [f for f in uploaded_files if isinstance(f, str) and f.lower().endswith((".mp4", ".mov", ".avi"))]
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| 142 |
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| 143 |
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if image_files and video_files:
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| 144 |
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logger.warning("Mixed media upload not supported (images + video).")
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| 145 |
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return None
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| 146 |
+
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| 147 |
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if image_files:
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| 148 |
+
if 1 <= len(image_files) <= 5:
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| 149 |
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logger.info(f"Accepted {len(image_files)} image(s).")
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| 150 |
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return image_files
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| 151 |
+
logger.warning("Invalid number of images. Must be 1 to 5.")
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| 152 |
+
return None
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| 153 |
+
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| 154 |
+
if video_files:
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| 155 |
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if len(video_files) == 1:
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| 156 |
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logger.info("Accepted single video upload.")
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| 157 |
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return video_files
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| 158 |
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logger.warning("Only one video allowed.")
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| 159 |
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return None
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| 160 |
+
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| 161 |
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logger.warning("Unsupported upload type.")
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| 162 |
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return None
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| 163 |
+
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| 164 |
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elif mode == "URL":
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| 165 |
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if not url:
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| 166 |
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logger.warning("URL mode selected but URL is empty.")
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| 167 |
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return None
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| 168 |
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media = fetch_media_from_url(url)
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| 169 |
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if media:
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| 170 |
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logger.info("Media successfully fetched from URL.")
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| 171 |
+
return [media]
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| 172 |
+
else:
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| 173 |
+
logger.warning("Failed to resolve media from URL.")
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| 174 |
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return None
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| 175 |
+
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| 176 |
+
else:
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| 177 |
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logger.error(f"Invalid mode selected: {mode}")
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| 178 |
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return None
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| 179 |
+
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| 180 |
+
except Exception as e:
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| 181 |
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logger.error(f"Exception in resolve_input(): {e}")
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| 182 |
+
return None
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