Update App_Function_Libraries/Utils.py

App_Function_Libraries/Utils.py

@@ -1,440 +1,468 @@
-# Utils.py
-#########################################
-# General Utilities Library
-# This library is used to hold random utilities used by various other libraries.
-#
-####
-####################
-# Function List
-#
-# 1. extract_text_from_segments(segments: List[Dict]) -> str
-# 2. download_file(url, dest_path, expected_checksum=None, max_retries=3, delay=5)
-# 3. verify_checksum(file_path, expected_checksum)
-# 4. create_download_directory(title)
-# 5. sanitize_filename(filename)
-# 6. normalize_title(title)
-# 7.
-#
-#
-#
-####################
-# Import necessary libraries
-import configparser
-import hashlib
-import json
-import logging
-from datetime import timedelta
-from urllib.parse import urlparse, parse_qs, urlencode, urlunparse
-
-import requests
-import time
-from tqdm import tqdm
-import os
-import re
-import unicodedata
-
-from App_Function_Libraries.Video_DL_Ingestion_Lib import get_youtube
-
-
-#######################################################################################################################
-# Function Definitions
-#
-
-def extract_text_from_segments(segments):
-    logging.debug(f"Segments received: {segments}")
-    logging.debug(f"Type of segments: {type(segments)}")
-
-    def extract_text_recursive(data):
-        if isinstance(data, dict):
-            for key, value in data.items():
-                if key == 'Text':
-                    return value
-                elif isinstance(value, (dict, list)):
-                    result = extract_text_recursive(value)
-                    if result:
-                        return result
-        elif isinstance(data, list):
-            return ' '.join(filter(None, [extract_text_recursive(item) for item in data]))
-        return None
-
-    text = extract_text_recursive(segments)
-
-    if text:
-        return text.strip()
-    else:
-        logging.error(f"Unable to extract text from segments: {segments}")
-        return "Error: Unable to extract transcription"
-
-
-def download_file(url, dest_path, expected_checksum=None, max_retries=3, delay=5):
-    temp_path = dest_path + '.tmp'
-
-    for attempt in range(max_retries):
-        try:
-            # Check if a partial download exists and get its size
-            resume_header = {}
-            if os.path.exists(temp_path):
-                resume_header = {'Range': f'bytes={os.path.getsize(temp_path)}-'}
-
-            response = requests.get(url, stream=True, headers=resume_header)
-            response.raise_for_status()
-
-            # Get the total file size from headers
-            total_size = int(response.headers.get('content-length', 0))
-            initial_pos = os.path.getsize(temp_path) if os.path.exists(temp_path) else 0
-
-            mode = 'ab' if 'Range' in response.headers else 'wb'
-            with open(temp_path, mode) as temp_file, tqdm(
-                total=total_size, unit='B', unit_scale=True, desc=dest_path, initial=initial_pos, ascii=True
-            ) as pbar:
-                for chunk in response.iter_content(chunk_size=8192):
-                    if chunk:  # filter out keep-alive new chunks
-                        temp_file.write(chunk)
-                        pbar.update(len(chunk))
-
-            # Verify the checksum if provided
-            if expected_checksum:
-                if not verify_checksum(temp_path, expected_checksum):
-                    os.remove(temp_path)
-                    raise ValueError("Downloaded file's checksum does not match the expected checksum")
-
-            # Move the file to the final destination
-            os.rename(temp_path, dest_path)
-            print("Download complete and verified!")
-            return dest_path
-
-        except Exception as e:
-            print(f"Attempt {attempt + 1} failed: {e}")
-            if attempt < max_retries - 1:
-                print(f"Retrying in {delay} seconds...")
-                time.sleep(delay)
-            else:
-                print("Max retries reached. Download failed.")
-                raise
-
-
-def verify_checksum(file_path, expected_checksum):
-    sha256_hash = hashlib.sha256()
-    with open(file_path, 'rb') as f:
-        for byte_block in iter(lambda: f.read(4096), b''):
-            sha256_hash.update(byte_block)
-    return sha256_hash.hexdigest() == expected_checksum
-
-
-def create_download_directory(title):
-    base_dir = "Results"
-    # Remove characters that are illegal in Windows filenames and normalize
-    safe_title = normalize_title(title)
-    logging.debug(f"{title} successfully normalized")
-    session_path = os.path.join(base_dir, safe_title)
-    if not os.path.exists(session_path):
-        os.makedirs(session_path, exist_ok=True)
-        logging.debug(f"Created directory for downloaded video: {session_path}")
-    else:
-        logging.debug(f"Directory already exists for downloaded video: {session_path}")
-    return session_path
-
-
-def sanitize_filename(filename):
-    # Remove invalid characters and replace spaces with underscores
-    sanitized = re.sub(r'[<>:"/\\|?*]', '', filename)
-    sanitized = re.sub(r'\s+', ' ', sanitized).strip()
-    return sanitized
-
-
-def normalize_title(title):
-    # Normalize the string to 'NFKD' form and encode to 'ascii' ignoring non-ascii characters
-    title = unicodedata.normalize('NFKD', title).encode('ascii', 'ignore').decode('ascii')
-    title = title.replace('/', '_').replace('\\', '_').replace(':', '_').replace('"', '').replace('*', '').replace('?',
-                                                                                                                   '').replace(
-        '<', '').replace('>', '').replace('|', '')
-    return title
-
-
-
-
-def clean_youtube_url(url):
-    parsed_url = urlparse(url)
-    query_params = parse_qs(parsed_url.query)
-    if 'list' in query_params:
-        query_params.pop('list')
-    cleaned_query = urlencode(query_params, doseq=True)
-    cleaned_url = urlunparse(parsed_url._replace(query=cleaned_query))
-    return cleaned_url
-
-
-def extract_video_info(url):
-    info_dict = get_youtube(url)
-    title = info_dict.get('title', 'Untitled')
-    return info_dict, title
-
-
-def clean_youtube_url(url):
-    parsed_url = urlparse(url)
-    query_params = parse_qs(parsed_url.query)
-    if 'list' in query_params:
-        query_params.pop('list')
-    cleaned_query = urlencode(query_params, doseq=True)
-    cleaned_url = urlunparse(parsed_url._replace(query=cleaned_query))
-    return cleaned_url
-
-def extract_video_info(url):
-    info_dict = get_youtube(url)
-    title = info_dict.get('title', 'Untitled')
-    return info_dict, title
-
-def import_data(file):
-    # Implement this function to import data from a file
-    pass
-
-
-
-
-#######################
-# Config loading
-#
-
-def load_comprehensive_config():
-    # Get the directory of the current script
-    current_dir = os.path.dirname(os.path.abspath(__file__))
-    # Go up one level to the project root directory
-    project_root = os.path.dirname(current_dir)
-    # Construct the path to the config file in the project root directory
-    config_path = os.path.join(project_root, 'config.txt')
-    # Create a ConfigParser object
-    config = configparser.ConfigParser()
-    # Read the configuration file
-    files_read = config.read(config_path)
-    if not files_read:
-        raise FileNotFoundError(f"Config file not found at {config_path}")
-    return config
-
-
-def load_and_log_configs():
-    try:
-        config = load_comprehensive_config()
-        if config is None:
-            logging.error("Config is None, cannot proceed")
-            return None
-        # API Keys
-        anthropic_api_key = config.get('API', 'anthropic_api_key', fallback=None)
-        logging.debug(
-            f"Loaded Anthropic API Key: {anthropic_api_key[:5]}...{anthropic_api_key[-5:] if anthropic_api_key else None}")
-
-        cohere_api_key = config.get('API', 'cohere_api_key', fallback=None)
-        logging.debug(
-            f"Loaded Cohere API Key: {cohere_api_key[:5]}...{cohere_api_key[-5:] if cohere_api_key else None}")
-
-        groq_api_key = config.get('API', 'groq_api_key', fallback=None)
-        logging.debug(f"Loaded Groq API Key: {groq_api_key[:5]}...{groq_api_key[-5:] if groq_api_key else None}")
-
-        openai_api_key = config.get('API', 'openai_api_key', fallback=None)
-        logging.debug(
-            f"Loaded OpenAI API Key: {openai_api_key[:5]}...{openai_api_key[-5:] if openai_api_key else None}")
-
-        huggingface_api_key = config.get('API', 'huggingface_api_key', fallback=None)
-        logging.debug(
-            f"Loaded HuggingFace API Key: {huggingface_api_key[:5]}...{huggingface_api_key[-5:] if huggingface_api_key else None}")
-
-        openrouter_api_key = config.get('API', 'openrouter_api_key', fallback=None)
-        logging.debug(
-            f"Loaded OpenRouter API Key: {openrouter_api_key[:5]}...{openrouter_api_key[-5:] if openrouter_api_key else None}")
-
-        deepseek_api_key = config.get('API', 'deepseek_api_key', fallback=None)
-        logging.debug(
-            f"Loaded DeepSeek API Key: {deepseek_api_key[:5]}...{deepseek_api_key[-5:] if deepseek_api_key else None}")
-
-        # Models
-        anthropic_model = config.get('API', 'anthropic_model', fallback='claude-3-sonnet-20240229')
-        cohere_model = config.get('API', 'cohere_model', fallback='command-r-plus')
-        groq_model = config.get('API', 'groq_model', fallback='llama3-70b-8192')
-        openai_model = config.get('API', 'openai_model', fallback='gpt-4-turbo')
-        huggingface_model = config.get('API', 'huggingface_model', fallback='CohereForAI/c4ai-command-r-plus')
-        openrouter_model = config.get('API', 'openrouter_model', fallback='microsoft/wizardlm-2-8x22b')
-        deepseek_model = config.get('API', 'deepseek_model', fallback='deepseek-chat')
-
-        logging.debug(f"Loaded Anthropic Model: {anthropic_model}")
-        logging.debug(f"Loaded Cohere Model: {cohere_model}")
-        logging.debug(f"Loaded Groq Model: {groq_model}")
-        logging.debug(f"Loaded OpenAI Model: {openai_model}")
-        logging.debug(f"Loaded HuggingFace Model: {huggingface_model}")
-        logging.debug(f"Loaded OpenRouter Model: {openrouter_model}")
-
-        # Local-Models
-        kobold_api_IP = config.get('Local-API', 'kobold_api_IP', fallback='http://127.0.0.1:5000/api/v1/generate')
-        kobold_api_key = config.get('Local-API', 'kobold_api_key', fallback='')
-
-        llama_api_IP = config.get('Local-API', 'llama_api_IP', fallback='http://127.0.0.1:8080/v1/chat/completions')
-        llama_api_key = config.get('Local-API', 'llama_api_key', fallback='')
-
-        ooba_api_IP = config.get('Local-API', 'ooba_api_IP', fallback='http://127.0.0.1:5000/v1/chat/completions')
-        ooba_api_key = config.get('Local-API', 'ooba_api_key', fallback='')
-
-        tabby_api_IP = config.get('Local-API', 'tabby_api_IP', fallback='http://127.0.0.1:5000/api/v1/generate')
-        tabby_api_key = config.get('Local-API', 'tabby_api_key', fallback=None)
-
-        vllm_api_url = config.get('Local-API', 'vllm_api_IP', fallback='http://127.0.0.1:500/api/v1/chat/completions')
-        vllm_api_key = config.get('Local-API', 'vllm_api_key', fallback=None)
-
-        logging.debug(f"Loaded Kobold API IP: {kobold_api_IP}")
-        logging.debug(f"Loaded Llama API IP: {llama_api_IP}")
-        logging.debug(f"Loaded Ooba API IP: {ooba_api_IP}")
-        logging.debug(f"Loaded Tabby API IP: {tabby_api_IP}")
-        logging.debug(f"Loaded VLLM API URL: {vllm_api_url}")
-
-        # Retrieve output paths from the configuration file
-        output_path = config.get('Paths', 'output_path', fallback='results')
-        logging.debug(f"Output path set to: {output_path}")
-
-        # Retrieve processing choice from the configuration file
-        processing_choice = config.get('Processing', 'processing_choice', fallback='cpu')
-        logging.debug(f"Processing choice set to: {processing_choice}")
-
-        # Prompts - FIXME
-        prompt_path = config.get('Prompts', 'prompt_path', fallback='prompts.db')
-
-        return {
-            'api_keys': {
-                'anthropic': anthropic_api_key,
-                'cohere': cohere_api_key,
-                'groq': groq_api_key,
-                'openai': openai_api_key,
-                'huggingface': huggingface_api_key,
-                'openrouter': openrouter_api_key,
-                'deepseek': deepseek_api_key
-            },
-            'models': {
-                'anthropic': anthropic_model,
-                'cohere': cohere_model,
-                'groq': groq_model,
-                'openai': openai_model,
-                'huggingface': huggingface_model,
-                'openrouter': openrouter_model,
-                'deepseek': deepseek_model
-            },
-            'local_apis': {
-                'kobold': {'ip': kobold_api_IP, 'key': kobold_api_key},
-                'llama': {'ip': llama_api_IP, 'key': llama_api_key},
-                'ooba': {'ip': ooba_api_IP, 'key': ooba_api_key},
-                'tabby': {'ip': tabby_api_IP, 'key': tabby_api_key},
-                'vllm': {'ip': vllm_api_url, 'key': vllm_api_key}
-            },
-            'output_path': output_path,
-            'processing_choice': processing_choice
-        }
-
-    except Exception as e:
-        logging.error(f"Error loading config: {str(e)}")
-        return None
-
-
-
-# Log file
-# logging.basicConfig(filename='debug-runtime.log', encoding='utf-8', level=logging.DEBUG)
-
-
-
-
-
-
-
-def format_metadata_as_text(metadata):
-    if not metadata:
-        return "No metadata available"
-
-    formatted_text = "Video Metadata:\n"
-    for key, value in metadata.items():
-        if value is not None:
-            if isinstance(value, list):
-                # Join list items with commas
-                formatted_value = ", ".join(str(item) for item in value)
-            elif key == 'upload_date' and len(str(value)) == 8:
-                # Format date as YYYY-MM-DD
-                formatted_value = f"{value[:4]}-{value[4:6]}-{value[6:]}"
-            elif key in ['view_count', 'like_count']:
-                # Format large numbers with commas
-                formatted_value = f"{value:,}"
-            elif key == 'duration':
-                # Convert seconds to HH:MM:SS format
-                hours, remainder = divmod(value, 3600)
-                minutes, seconds = divmod(remainder, 60)
-                formatted_value = f"{hours:02d}:{minutes:02d}:{seconds:02d}"
-            else:
-                formatted_value = str(value)
-
-            formatted_text += f"{key.capitalize()}: {formatted_value}\n"
-    return formatted_text.strip()
-
-# # Example usage:
-# example_metadata = {
-#     'title': 'Sample Video Title',
-#     'uploader': 'Channel Name',
-#     'upload_date': '20230615',
-#     'view_count': 1000000,
-#     'like_count': 50000,
-#     'duration': 3725,  # 1 hour, 2 minutes, 5 seconds
-#     'tags': ['tag1', 'tag2', 'tag3'],
-#     'description': 'This is a sample video description.'
-# }
-#
-# print(format_metadata_as_text(example_metadata))
-
-
-
-def convert_to_seconds(time_str):
-    if not time_str:
-        return 0
-
-    # If it's already a number, assume it's in seconds
-    if time_str.isdigit():
-        return int(time_str)
-
-    # Parse time string in format HH:MM:SS, MM:SS, or SS
-    time_parts = time_str.split(':')
-    if len(time_parts) == 3:
-        return int(timedelta(hours=int(time_parts[0]),
-                             minutes=int(time_parts[1]),
-                             seconds=int(time_parts[2])).total_seconds())
-    elif len(time_parts) == 2:
-        return int(timedelta(minutes=int(time_parts[0]),
-                             seconds=int(time_parts[1])).total_seconds())
-    elif len(time_parts) == 1:
-        return int(time_parts[0])
-    else:
-        raise ValueError(f"Invalid time format: {time_str}")
-
-
-def save_to_file(video_urls, filename):
-    with open(filename, 'w') as file:
-        file.write('\n'.join(video_urls))
-    print(f"Video URLs saved to {filename}")
-
-
-def save_segments_to_json(segments, file_name="transcription_segments.json"):
-    """
-    Save transcription segments to a JSON file.
-
-    Parameters:
-    segments (list): List of transcription segments
-    file_name (str): Name of the JSON file to save (default: "transcription_segments.json")
-
-    Returns:
-    str: Path to the saved JSON file
-    """
-    # Ensure the Results directory exists
-    os.makedirs("Results", exist_ok=True)
-
-    # Full path for the JSON file
-    json_file_path = os.path.join("Results", file_name)
-
-    # Save segments to JSON file
-    with open(json_file_path, 'w', encoding='utf-8') as json_file:
-        json.dump(segments, json_file, ensure_ascii=False, indent=4)
-
-    return json_file_path
-
-
-
-
-
-
+# Utils.py
+#########################################
+# General Utilities Library
+# This library is used to hold random utilities used by various other libraries.
+#
+####
+####################
+# Function List
+#
+# 1. extract_text_from_segments(segments: List[Dict]) -> str
+# 2. download_file(url, dest_path, expected_checksum=None, max_retries=3, delay=5)
+# 3. verify_checksum(file_path, expected_checksum)
+# 4. create_download_directory(title)
+# 5. sanitize_filename(filename)
+# 6. normalize_title(title)
+# 7.
+#
+#
+#
+####################
+# Import necessary libraries
+import configparser
+import hashlib
+import json
+import logging
+import os
+import re
+import time
+from datetime import timedelta
+from urllib.parse import urlparse, parse_qs, urlencode, urlunparse
+
+import requests
+import unicodedata
+from tqdm import tqdm
+
+from App_Function_Libraries.Video_DL_Ingestion_Lib import get_youtube
+
+
+#######################################################################################################################
+# Function Definitions
+#
+
+def extract_text_from_segments(segments):
+    logging.debug(f"Segments received: {segments}")
+    logging.debug(f"Type of segments: {type(segments)}")
+
+    def extract_text_recursive(data):
+        if isinstance(data, dict):
+            for key, value in data.items():
+                if key == 'Text':
+                    return value
+                elif isinstance(value, (dict, list)):
+                    result = extract_text_recursive(value)
+                    if result:
+                        return result
+        elif isinstance(data, list):
+            return ' '.join(filter(None, [extract_text_recursive(item) for item in data]))
+        return None
+
+    text = extract_text_recursive(segments)
+
+    if text:
+        return text.strip()
+    else:
+        logging.error(f"Unable to extract text from segments: {segments}")
+        return "Error: Unable to extract transcription"
+
+
+def download_file(url, dest_path, expected_checksum=None, max_retries=3, delay=5):
+    temp_path = dest_path + '.tmp'
+
+    for attempt in range(max_retries):
+        try:
+            # Check if a partial download exists and get its size
+            resume_header = {}
+            if os.path.exists(temp_path):
+                resume_header = {'Range': f'bytes={os.path.getsize(temp_path)}-'}
+
+            response = requests.get(url, stream=True, headers=resume_header)
+            response.raise_for_status()
+
+            # Get the total file size from headers
+            total_size = int(response.headers.get('content-length', 0))
+            initial_pos = os.path.getsize(temp_path) if os.path.exists(temp_path) else 0
+
+            mode = 'ab' if 'Range' in response.headers else 'wb'
+            with open(temp_path, mode) as temp_file, tqdm(
+                total=total_size, unit='B', unit_scale=True, desc=dest_path, initial=initial_pos, ascii=True
+            ) as pbar:
+                for chunk in response.iter_content(chunk_size=8192):
+                    if chunk:  # filter out keep-alive new chunks
+                        temp_file.write(chunk)
+                        pbar.update(len(chunk))
+
+            # Verify the checksum if provided
+            if expected_checksum:
+                if not verify_checksum(temp_path, expected_checksum):
+                    os.remove(temp_path)
+                    raise ValueError("Downloaded file's checksum does not match the expected checksum")
+
+            # Move the file to the final destination
+            os.rename(temp_path, dest_path)
+            print("Download complete and verified!")
+            return dest_path
+
+        except Exception as e:
+            print(f"Attempt {attempt + 1} failed: {e}")
+            if attempt < max_retries - 1:
+                print(f"Retrying in {delay} seconds...")
+                time.sleep(delay)
+            else:
+                print("Max retries reached. Download failed.")
+                raise
+
+
+def verify_checksum(file_path, expected_checksum):
+    sha256_hash = hashlib.sha256()
+    with open(file_path, 'rb') as f:
+        for byte_block in iter(lambda: f.read(4096), b''):
+            sha256_hash.update(byte_block)
+    return sha256_hash.hexdigest() == expected_checksum
+
+
+def create_download_directory(title):
+    base_dir = "Results"
+    # Remove characters that are illegal in Windows filenames and normalize
+    safe_title = normalize_title(title)
+    logging.debug(f"{title} successfully normalized")
+    session_path = os.path.join(base_dir, safe_title)
+    if not os.path.exists(session_path):
+        os.makedirs(session_path, exist_ok=True)
+        logging.debug(f"Created directory for downloaded video: {session_path}")
+    else:
+        logging.debug(f"Directory already exists for downloaded video: {session_path}")
+    return session_path
+
+
+def sanitize_filename(filename):
+    # Remove invalid characters and replace spaces with underscores
+    sanitized = re.sub(r'[<>:"/\\|?*]', '', filename)
+    sanitized = re.sub(r'\s+', ' ', sanitized).strip()
+    return sanitized
+
+
+def normalize_title(title):
+    # Normalize the string to 'NFKD' form and encode to 'ascii' ignoring non-ascii characters
+    title = unicodedata.normalize('NFKD', title).encode('ascii', 'ignore').decode('ascii')
+    title = title.replace('/', '_').replace('\\', '_').replace(':', '_').replace('"', '').replace('*', '').replace('?',
+                                                                                                                   '').replace(
+        '<', '').replace('>', '').replace('|', '')
+    return title
+
+
+def clean_youtube_url(url):
+    parsed_url = urlparse(url)
+    query_params = parse_qs(parsed_url.query)
+    if 'list' in query_params:
+        query_params.pop('list')
+    cleaned_query = urlencode(query_params, doseq=True)
+    cleaned_url = urlunparse(parsed_url._replace(query=cleaned_query))
+    return cleaned_url
+
+
+def extract_video_info(url):
+    info_dict = get_youtube(url)
+    title = info_dict.get('title', 'Untitled')
+    return info_dict, title
+
+
+def import_data(file):
+    # Implement this function to import data from a file
+    pass
+
+
+def safe_read_file(file_path):
+    encodings = ['utf-8', 'utf-16', 'ascii', 'latin-1', 'iso-8859-1', 'cp1252']
+    for encoding in encodings:
+        try:
+            with open(file_path, 'r', encoding=encoding) as file:
+                return file.read()
+        except UnicodeDecodeError:
+            continue
+        except FileNotFoundError:
+            return f"File not found: {file_path}"
+        except Exception as e:
+            return f"An error occurred: {e}"
+    return f"Unable to decode the file {file_path} with any of the attempted encodings: {encodings}"
+
+#
+#
+#######################
+# Temp file cleanup
+#
+# Global list to keep track of downloaded files
+downloaded_files = []
+
+def cleanup_downloads():
+    """Function to clean up downloaded files when the server exits."""
+    for file_path in downloaded_files:
+        try:
+            if os.path.exists(file_path):
+                os.remove(file_path)
+                print(f"Cleaned up file: {file_path}")
+        except Exception as e:
+            print(f"Error cleaning up file {file_path}: {e}")
+
+#
+#
+#######################
+# Config loading
+#
+
+def load_comprehensive_config():
+    # Get the directory of the current script
+    current_dir = os.path.dirname(os.path.abspath(__file__))
+    # Go up one level to the project root directory
+    project_root = os.path.dirname(current_dir)
+    # Construct the path to the config file in the project root directory
+    config_path = os.path.join(project_root, 'config.txt')
+    # Create a ConfigParser object
+    config = configparser.ConfigParser()
+    # Read the configuration file
+    files_read = config.read(config_path)
+    if not files_read:
+        raise FileNotFoundError(f"Config file not found at {config_path}")
+    return config
+
+
+# FIXME - update to include prompt path in return statement
+def load_and_log_configs():
+    try:
+        config = load_comprehensive_config()
+        if config is None:
+            logging.error("Config is None, cannot proceed")
+            return None
+        # API Keys
+        anthropic_api_key = config.get('API', 'anthropic_api_key', fallback=None)
+        logging.debug(
+            f"Loaded Anthropic API Key: {anthropic_api_key[:5]}...{anthropic_api_key[-5:] if anthropic_api_key else None}")
+
+        cohere_api_key = config.get('API', 'cohere_api_key', fallback=None)
+        logging.debug(
+            f"Loaded Cohere API Key: {cohere_api_key[:5]}...{cohere_api_key[-5:] if cohere_api_key else None}")
+
+        groq_api_key = config.get('API', 'groq_api_key', fallback=None)
+        logging.debug(f"Loaded Groq API Key: {groq_api_key[:5]}...{groq_api_key[-5:] if groq_api_key else None}")
+
+        openai_api_key = config.get('API', 'openai_api_key', fallback=None)
+        logging.debug(
+            f"Loaded OpenAI API Key: {openai_api_key[:5]}...{openai_api_key[-5:] if openai_api_key else None}")
+
+        huggingface_api_key = config.get('API', 'huggingface_api_key', fallback=None)
+        logging.debug(
+            f"Loaded HuggingFace API Key: {huggingface_api_key[:5]}...{huggingface_api_key[-5:] if huggingface_api_key else None}")
+
+        openrouter_api_key = config.get('API', 'openrouter_api_key', fallback=None)
+        logging.debug(
+            f"Loaded OpenRouter API Key: {openrouter_api_key[:5]}...{openrouter_api_key[-5:] if openrouter_api_key else None}")
+
+        deepseek_api_key = config.get('API', 'deepseek_api_key', fallback=None)
+        logging.debug(
+            f"Loaded DeepSeek API Key: {deepseek_api_key[:5]}...{deepseek_api_key[-5:] if deepseek_api_key else None}")
+
+        # Models
+        anthropic_model = config.get('API', 'anthropic_model', fallback='claude-3-sonnet-20240229')
+        cohere_model = config.get('API', 'cohere_model', fallback='command-r-plus')
+        groq_model = config.get('API', 'groq_model', fallback='llama3-70b-8192')
+        openai_model = config.get('API', 'openai_model', fallback='gpt-4-turbo')
+        huggingface_model = config.get('API', 'huggingface_model', fallback='CohereForAI/c4ai-command-r-plus')
+        openrouter_model = config.get('API', 'openrouter_model', fallback='microsoft/wizardlm-2-8x22b')
+        deepseek_model = config.get('API', 'deepseek_model', fallback='deepseek-chat')
+
+        logging.debug(f"Loaded Anthropic Model: {anthropic_model}")
+        logging.debug(f"Loaded Cohere Model: {cohere_model}")
+        logging.debug(f"Loaded Groq Model: {groq_model}")
+        logging.debug(f"Loaded OpenAI Model: {openai_model}")
+        logging.debug(f"Loaded HuggingFace Model: {huggingface_model}")
+        logging.debug(f"Loaded OpenRouter Model: {openrouter_model}")
+
+        # Local-Models
+        kobold_api_ip = config.get('Local-API', 'kobold_api_IP', fallback='http://127.0.0.1:5000/api/v1/generate')
+        kobold_api_key = config.get('Local-API', 'kobold_api_key', fallback='')
+
+        llama_api_IP = config.get('Local-API', 'llama_api_IP', fallback='http://127.0.0.1:8080/v1/chat/completions')
+        llama_api_key = config.get('Local-API', 'llama_api_key', fallback='')
+
+        ooba_api_IP = config.get('Local-API', 'ooba_api_IP', fallback='http://127.0.0.1:5000/v1/chat/completions')
+        ooba_api_key = config.get('Local-API', 'ooba_api_key', fallback='')
+
+        tabby_api_IP = config.get('Local-API', 'tabby_api_IP', fallback='http://127.0.0.1:5000/api/v1/generate')
+        tabby_api_key = config.get('Local-API', 'tabby_api_key', fallback=None)
+        tabby_model = config.get('models', 'tabby_model', fallback=None)
+
+        vllm_api_url = config.get('Local-API', 'vllm_api_IP', fallback='http://127.0.0.1:500/api/v1/chat/completions')
+        vllm_api_key = config.get('Local-API', 'vllm_api_key', fallback=None)
+        vllm_model = config.get('Local-API', 'vllm_model', fallback=None)
+
+        logging.debug(f"Loaded Kobold API IP: {kobold_api_ip}")
+        logging.debug(f"Loaded Llama API IP: {llama_api_IP}")
+        logging.debug(f"Loaded Ooba API IP: {ooba_api_IP}")
+        logging.debug(f"Loaded Tabby API IP: {tabby_api_IP}")
+        logging.debug(f"Loaded VLLM API URL: {vllm_api_url}")
+
+        # Retrieve output paths from the configuration file
+        output_path = config.get('Paths', 'output_path', fallback='results')
+        logging.debug(f"Output path set to: {output_path}")
+
+        # Retrieve processing choice from the configuration file
+        processing_choice = config.get('Processing', 'processing_choice', fallback='cpu')
+        logging.debug(f"Processing choice set to: {processing_choice}")
+
+        # Prompts - FIXME
+        prompt_path = config.get('Prompts', 'prompt_path', fallback='prompts.db')
+
+        return {
+            'api_keys': {
+                'anthropic': anthropic_api_key,
+                'cohere': cohere_api_key,
+                'groq': groq_api_key,
+                'openai': openai_api_key,
+                'huggingface': huggingface_api_key,
+                'openrouter': openrouter_api_key,
+                'deepseek': deepseek_api_key,
+                'kobold': kobold_api_key,
+                'llama': llama_api_key,
+                'ooba': ooba_api_key,
+                'tabby': tabby_api_key,
+                'vllm': vllm_api_key
+            },
+            'models': {
+                'anthropic': anthropic_model,
+                'cohere': cohere_model,
+                'groq': groq_model,
+                'openai': openai_model,
+                'huggingface': huggingface_model,
+                'openrouter': openrouter_model,
+                'deepseek': deepseek_model,
+                'vllm': vllm_model,
+                'tabby': tabby_model
+
+            },
+            'local_api_ip': {
+                'kobold': kobold_api_ip,
+                'llama': llama_api_IP,
+                'ooba': ooba_api_IP,
+                'tabby': tabby_api_IP,
+                'vllm': vllm_api_url,
+            },
+            'output_path': output_path,
+            'processing_choice': processing_choice
+        }
+
+    except Exception as e:
+        logging.error(f"Error loading config: {str(e)}")
+        return None
+
+
+# Log file
+# logging.basicConfig(filename='debug-runtime.log', encoding='utf-8', level=logging.DEBUG)
+
+
+def format_metadata_as_text(metadata):
+    if not metadata:
+        return "No metadata available"
+
+    formatted_text = "Video Metadata:\n"
+    for key, value in metadata.items():
+        if value is not None:
+            if isinstance(value, list):
+                # Join list items with commas
+                formatted_value = ", ".join(str(item) for item in value)
+            elif key == 'upload_date' and len(str(value)) == 8:
+                # Format date as YYYY-MM-DD
+                formatted_value = f"{value[:4]}-{value[4:6]}-{value[6:]}"
+            elif key in ['view_count', 'like_count']:
+                # Format large numbers with commas
+                formatted_value = f"{value:,}"
+            elif key == 'duration':
+                # Convert seconds to HH:MM:SS format
+                hours, remainder = divmod(value, 3600)
+                minutes, seconds = divmod(remainder, 60)
+                formatted_value = f"{hours:02d}:{minutes:02d}:{seconds:02d}"
+            else:
+                formatted_value = str(value)
+
+            formatted_text += f"{key.capitalize()}: {formatted_value}\n"
+    return formatted_text.strip()
+
+# # Example usage:
+# example_metadata = {
+#     'title': 'Sample Video Title',
+#     'uploader': 'Channel Name',
+#     'upload_date': '20230615',
+#     'view_count': 1000000,
+#     'like_count': 50000,
+#     'duration': 3725,  # 1 hour, 2 minutes, 5 seconds
+#     'tags': ['tag1', 'tag2', 'tag3'],
+#     'description': 'This is a sample video description.'
+# }
+#
+# print(format_metadata_as_text(example_metadata))
+
+
+def convert_to_seconds(time_str):
+    if not time_str:
+        return 0
+
+    # If it's already a number, assume it's in seconds
+    if time_str.isdigit():
+        return int(time_str)
+
+    # Parse time string in format HH:MM:SS, MM:SS, or SS
+    time_parts = time_str.split(':')
+    if len(time_parts) == 3:
+        return int(timedelta(hours=int(time_parts[0]),
+                             minutes=int(time_parts[1]),
+                             seconds=int(time_parts[2])).total_seconds())
+    elif len(time_parts) == 2:
+        return int(timedelta(minutes=int(time_parts[0]),
+                             seconds=int(time_parts[1])).total_seconds())
+    elif len(time_parts) == 1:
+        return int(time_parts[0])
+    else:
+        raise ValueError(f"Invalid time format: {time_str}")
+
+
+def save_to_file(video_urls, filename):
+    with open(filename, 'w') as file:
+        file.write('\n'.join(video_urls))
+    print(f"Video URLs saved to {filename}")
+
+
+def save_segments_to_json(segments, file_name="transcription_segments.json"):
+    """
+    Save transcription segments to a JSON file.
+
+    Parameters:
+    segments (list): List of transcription segments
+    file_name (str): Name of the JSON file to save (default: "transcription_segments.json")
+
+    Returns:
+    str: Path to the saved JSON file
+    """
+    # Ensure the Results directory exists
+    os.makedirs("Results", exist_ok=True)
+
+    # Full path for the JSON file
+    json_file_path = os.path.join("Results", file_name)
+
+    # Save segments to JSON file
+    with open(json_file_path, 'w', encoding='utf-8') as json_file:
+        json.dump(segments, json_file, ensure_ascii=False, indent=4)
+
+    return json_file_path
+
+#
+#
+#######################################################################################################################
+#
+# Backup code
+
+#
+# End of backup code
+#######################################################################################################################
+
+
+
+