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# Chat.py
# Chat functions for interacting with the LLMs as chatbots
import base64
# Imports
import json
import logging
import os
import re
import tempfile
from datetime import datetime
from pathlib import Path
#
# External Imports
#
# Local Imports
from App_Function_Libraries.DB.DB_Manager import get_conversation_name, save_chat_history_to_database
from App_Function_Libraries.LLM_API_Calls import chat_with_openai, chat_with_anthropic, chat_with_cohere, \
chat_with_groq, chat_with_openrouter, chat_with_deepseek, chat_with_mistral, chat_with_huggingface #, chat_with_vllm
from App_Function_Libraries.LLM_API_Calls_Local import chat_with_aphrodite, chat_with_local_llm, chat_with_ollama, \
chat_with_kobold, chat_with_llama, chat_with_oobabooga, chat_with_tabbyapi, chat_with_vllm, chat_with_custom_openai
from App_Function_Libraries.DB.SQLite_DB import load_media_content
from App_Function_Libraries.Utils.Utils import generate_unique_filename
#
####################################################################################################
#
# Functions:
def chat_api_call(api_endpoint, api_key, input_data, prompt, temp, system_message=None):
if not api_key:
api_key = None
try:
logging.info(f"Debug - Chat API Call - API Endpoint: {api_endpoint}")
logging.info(f"Debug - Chat API Call - API Key: {api_key}")
logging.info(f"Debug - Chat chat_api_call - API Endpoint: {api_endpoint}")
if api_endpoint.lower() == 'openai':
response = chat_with_openai(api_key, input_data, prompt, temp, system_message)
elif api_endpoint.lower() == "anthropic":
response = chat_with_anthropic(api_key, input_data, prompt, temp, system_message)
elif api_endpoint.lower() == "cohere":
response = chat_with_cohere(api_key, input_data, prompt, temp, system_message)
elif api_endpoint.lower() == "groq":
response = chat_with_groq(api_key, input_data, prompt, temp, system_message)
elif api_endpoint.lower() == "openrouter":
response = chat_with_openrouter(api_key, input_data, prompt, temp, system_message)
elif api_endpoint.lower() == "deepseek":
response = chat_with_deepseek(api_key, input_data, prompt, temp, system_message)
elif api_endpoint.lower() == "mistral":
response = chat_with_mistral(api_key, input_data, prompt, temp, system_message)
elif api_endpoint.lower() == "llama.cpp":
response = chat_with_llama(input_data, prompt, temp, system_message)
elif api_endpoint.lower() == "kobold":
response = chat_with_kobold(input_data, api_key, prompt, temp, system_message)
elif api_endpoint.lower() == "ooba":
response = chat_with_oobabooga(input_data, api_key, prompt, temp, system_message)
elif api_endpoint.lower() == "tabbyapi":
response = chat_with_tabbyapi(input_data, prompt, temp, system_message)
elif api_endpoint.lower() == "vllm":
response = chat_with_vllm(input_data, prompt, system_message)
elif api_endpoint.lower() == "local-llm":
response = chat_with_local_llm(input_data, prompt, temp, system_message)
elif api_endpoint.lower() == "huggingface":
response = chat_with_huggingface(api_key, input_data, prompt, temp) # , system_message)
elif api_endpoint.lower() == "ollama":
response = chat_with_ollama(input_data, prompt, temp, system_message)
elif api_endpoint.lower() == "aphrodite":
response = chat_with_aphrodite(input_data, prompt, temp, system_message)
elif api_endpoint.lower() == "custom-openai-api":
response = chat_with_custom_openai(api_key, input_data, prompt, temp, system_message)
else:
raise ValueError(f"Unsupported API endpoint: {api_endpoint}")
return response
except Exception as e:
logging.error(f"Error in chat function: {str(e)}")
return f"An error occurred: {str(e)}"
def chat(message, history, media_content, selected_parts, api_endpoint, api_key, prompt, temperature,
system_message=None):
try:
logging.info(f"Debug - Chat Function - Message: {message}")
logging.info(f"Debug - Chat Function - Media Content: {media_content}")
logging.info(f"Debug - Chat Function - Selected Parts: {selected_parts}")
logging.info(f"Debug - Chat Function - API Endpoint: {api_endpoint}")
# logging.info(f"Debug - Chat Function - Prompt: {prompt}")
# Ensure selected_parts is a list
if not isinstance(selected_parts, (list, tuple)):
selected_parts = [selected_parts] if selected_parts else []
# logging.debug(f"Debug - Chat Function - Selected Parts (after check): {selected_parts}")
# Combine the selected parts of the media content
combined_content = "\n\n".join(
[f"{part.capitalize()}: {media_content.get(part, '')}" for part in selected_parts if part in media_content])
# Print first 500 chars
# logging.debug(f"Debug - Chat Function - Combined Content: {combined_content[:500]}...")
# Prepare the input for the API
if not history:
input_data = f"{combined_content}\n\nUser: {message}\n"
else:
input_data = f"User: {message}\n"
# Print first 500 chars
# logging.info(f"Debug - Chat Function - Input Data: {input_data[:500]}...")
if system_message:
print(f"System message: {system_message}")
logging.debug(f"Debug - Chat Function - System Message: {system_message}")
temperature = float(temperature) if temperature else 0.7
temp = temperature
logging.debug("Debug - Chat Function - Temperature: {temperature}")
logging.debug(f"Debug - Chat Function - API Key: {api_key[:10]}")
logging.debug(f"Debug - Chat Function - Prompt: {prompt}")
# Use the existing API request code based on the selected endpoint
response = chat_api_call(api_endpoint, api_key, input_data, prompt, temp, system_message)
return response
except Exception as e:
logging.error(f"Error in chat function: {str(e)}")
return f"An error occurred: {str(e)}"
def save_chat_history_to_db_wrapper(chatbot, conversation_id, media_content):
logging.info(f"Attempting to save chat history. Media content type: {type(media_content)}")
try:
# Extract the media_id and media_name from the media_content
media_id = None
media_name = None
if isinstance(media_content, dict):
logging.debug(f"Media content keys: {media_content.keys()}")
if 'content' in media_content:
try:
content = media_content['content']
if isinstance(content, str):
content_json = json.loads(content)
elif isinstance(content, dict):
content_json = content
else:
raise ValueError(f"Unexpected content type: {type(content)}")
# Use the webpage_url as the media_id
media_id = content_json.get('webpage_url')
# Use the title as the media_name
media_name = content_json.get('title')
logging.info(f"Extracted media_id: {media_id}, media_name: {media_name}")
except json.JSONDecodeError:
logging.error("Failed to decode JSON from media_content['content']")
except Exception as e:
logging.error(f"Error processing media_content: {str(e)}")
else:
logging.warning("'content' key not found in media_content")
else:
logging.warning(f"media_content is not a dictionary. Type: {type(media_content)}")
if media_id is None:
# If we couldn't find a media_id, we'll use a placeholder
media_id = "unknown_media"
logging.warning(f"Unable to extract media_id from media_content. Using placeholder: {media_id}")
if media_name is None:
media_name = "Unnamed Media"
logging.warning(f"Unable to extract media_name from media_content. Using placeholder: {media_name}")
# Generate a unique conversation name using media_id and current timestamp
timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
conversation_name = f"Chat_{media_id}_{timestamp}"
new_conversation_id = save_chat_history_to_database(chatbot, conversation_id, media_id, media_name,
conversation_name)
return new_conversation_id, f"Chat history saved successfully as {conversation_name}!"
except Exception as e:
error_message = f"Failed to save chat history: {str(e)}"
logging.error(error_message, exc_info=True)
return conversation_id, error_message
def save_chat_history(history, conversation_id, media_content):
try:
content, conversation_name = generate_chat_history_content(history, conversation_id, media_content)
timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
safe_conversation_name = re.sub(r'[^a-zA-Z0-9_-]', '_', conversation_name)
base_filename = f"{safe_conversation_name}_{timestamp}.json"
# Create a temporary file
with tempfile.NamedTemporaryFile(mode='w', delete=False, suffix='.json') as temp_file:
temp_file.write(content)
temp_file_path = temp_file.name
# Generate a unique filename
unique_filename = generate_unique_filename(os.path.dirname(temp_file_path), base_filename)
final_path = os.path.join(os.path.dirname(temp_file_path), unique_filename)
# Rename the temporary file to the unique filename
os.rename(temp_file_path, final_path)
return final_path
except Exception as e:
logging.error(f"Error saving chat history: {str(e)}")
return None
def generate_chat_history_content(history, conversation_id, media_content):
timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
conversation_name = get_conversation_name(conversation_id)
if not conversation_name:
media_name = extract_media_name(media_content)
if media_name:
conversation_name = f"{media_name}-chat"
else:
conversation_name = f"chat-{timestamp}" # Fallback name
chat_data = {
"conversation_id": conversation_id,
"conversation_name": conversation_name,
"timestamp": timestamp,
"history": [
{
"role": "user" if i % 2 == 0 else "bot",
"content": msg[0] if isinstance(msg, tuple) else msg
}
for i, msg in enumerate(history)
]
}
return json.dumps(chat_data, indent=2), conversation_name
def extract_media_name(media_content):
if isinstance(media_content, dict):
content = media_content.get('content', {})
if isinstance(content, str):
try:
content = json.loads(content)
except json.JSONDecodeError:
logging.warning("Failed to parse media_content JSON string")
return None
# Try to extract title from the content
if isinstance(content, dict):
return content.get('title') or content.get('name')
logging.warning(f"Unexpected media_content format: {type(media_content)}")
return None
def update_chat_content(selected_item, use_content, use_summary, use_prompt, item_mapping):
logging.debug(f"Debug - Update Chat Content - Selected Item: {selected_item}\n")
logging.debug(f"Debug - Update Chat Content - Use Content: {use_content}\n\n\n\n")
logging.debug(f"Debug - Update Chat Content - Use Summary: {use_summary}\n\n")
logging.debug(f"Debug - Update Chat Content - Use Prompt: {use_prompt}\n\n")
logging.debug(f"Debug - Update Chat Content - Item Mapping: {item_mapping}\n\n")
if selected_item and selected_item in item_mapping:
media_id = item_mapping[selected_item]
content = load_media_content(media_id)
selected_parts = []
if use_content and "content" in content:
selected_parts.append("content")
if use_summary and "summary" in content:
selected_parts.append("summary")
if use_prompt and "prompt" in content:
selected_parts.append("prompt")
# Modified debug print
if isinstance(content, dict):
print(f"Debug - Update Chat Content - Content keys: {list(content.keys())}")
for key, value in content.items():
print(f"Debug - Update Chat Content - {key} (first 500 char): {str(value)[:500]}\n\n\n\n")
else:
print(f"Debug - Update Chat Content - Content(first 500 char): {str(content)[:500]}\n\n\n\n")
print(f"Debug - Update Chat Content - Selected Parts: {selected_parts}")
return content, selected_parts
else:
print(f"Debug - Update Chat Content - No item selected or item not in mapping")
return {}, []
#
# End of Chat functions
##########################################################################################################################
##########################################################################################################################
#
# Character Card Functions
CHARACTERS_FILE = Path('.', 'Helper_Scripts', 'Character_Cards', 'Characters.json')
def save_character(character_data):
characters_file = os.path.join(os.path.dirname(__file__), '..', 'Helper_Scripts', 'Character_Cards', 'Characters.json')
characters_dir = os.path.dirname(characters_file)
try:
if os.path.exists(characters_file):
with open(characters_file, 'r') as f:
characters = json.load(f)
else:
characters = {}
char_name = character_data['name']
# Save the image separately if it exists
if 'image' in character_data:
img_data = base64.b64decode(character_data['image'])
img_filename = f"{char_name.replace(' ', '_')}.png"
img_path = os.path.join(characters_dir, img_filename)
with open(img_path, 'wb') as f:
f.write(img_data)
character_data['image_path'] = os.path.abspath(img_path)
del character_data['image'] # Remove the base64 image data from the JSON
characters[char_name] = character_data
with open(characters_file, 'w') as f:
json.dump(characters, f, indent=2)
logging.info(f"Character '{char_name}' saved successfully.")
except Exception as e:
logging.error(f"Error saving character: {str(e)}")
def load_characters():
characters_file = os.path.join(os.path.dirname(__file__), '..', 'Helper_Scripts', 'Character_Cards', 'Characters.json')
if os.path.exists(characters_file):
with open(characters_file, 'r') as f:
characters = json.load(f)
logging.debug(f"Loaded {len(characters)} characters from {characters_file}")
return characters
logging.warning(f"Characters file not found: {characters_file}")
return {}
def get_character_names():
characters = load_characters()
return list(characters.keys())
#
# End of Chat.py
##########################################################################################################################