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| """ | |
| This module is responsible for modifying the chat prompt and history. | |
| """ | |
| import re | |
| import extensions.superboogav2.parameters as parameters | |
| from modules import chat, shared | |
| from modules.text_generation import get_encoded_length | |
| from modules.logging_colors import logger | |
| from modules.chat import load_character_memoized | |
| from extensions.superboogav2.utils import create_context_text, create_metadata_source | |
| from .data_processor import process_and_add_to_collector | |
| from .chromadb import ChromaCollector | |
| CHAT_METADATA = create_metadata_source('automatic-chat-insert') | |
| def _remove_tag_if_necessary(user_input: str): | |
| if not parameters.get_is_manual(): | |
| return user_input | |
| return re.sub(r'^\s*!c\s*|\s*!c\s*$', '', user_input) | |
| def _should_query(input: str): | |
| if not parameters.get_is_manual(): | |
| return True | |
| if re.search(r'^\s*!c|!c\s*$', input, re.MULTILINE): | |
| return True | |
| return False | |
| def _format_single_exchange(name, text): | |
| if re.search(r':\s*$', name): | |
| return '{} {}\n'.format(name, text) | |
| else: | |
| return '{}: {}\n'.format(name, text) | |
| def _get_names(state: dict): | |
| default_char = shared.settings.get('character', "Assistant") | |
| default_user = shared.settings.get('name1', "You") | |
| character = state.get('character', default_char) | |
| user_name = state.get('name1', default_user) | |
| user_name, bot_name, _, _, _ = load_character_memoized(character, user_name, '') | |
| return user_name, bot_name | |
| def _concatinate_history(history: dict, state: dict): | |
| full_history_text = '' | |
| user_name, bot_name = _get_names(state) | |
| # Grab the internal history. | |
| internal_history = history['internal'] | |
| assert isinstance(internal_history, list) | |
| # Iterate through the history. | |
| for exchange in internal_history: | |
| assert isinstance(exchange, list) | |
| if len(exchange) >= 1: | |
| full_history_text += _format_single_exchange(user_name, exchange[0]) | |
| if len(exchange) >= 2: | |
| full_history_text += _format_single_exchange(bot_name, exchange[1]) | |
| return full_history_text[:-1] # Remove the last new line. | |
| def _hijack_last(context_text: str, history: dict, max_len: int, state: dict): | |
| num_context_tokens = get_encoded_length(context_text) | |
| names = _get_names(state)[::-1] | |
| history_tokens = 0 | |
| replace_position = None | |
| for i, messages in enumerate(reversed(history['internal'])): | |
| for j, message in enumerate(reversed(messages)): | |
| num_message_tokens = get_encoded_length(_format_single_exchange(names[j], message)) | |
| # TODO: This is an extremely naive solution. A more robust implementation must be made. | |
| if history_tokens + num_context_tokens <= max_len: | |
| # This message can be replaced | |
| replace_position = (i, j) | |
| history_tokens += num_message_tokens | |
| if replace_position is None: | |
| logger.warn("The provided context_text is too long to replace any message in the history.") | |
| else: | |
| # replace the message at replace_position with context_text | |
| i, j = replace_position | |
| history['internal'][-i-1][-j-1] = context_text | |
| def custom_generate_chat_prompt_internal(user_input: str, state: dict, collector: ChromaCollector, **kwargs): | |
| if parameters.get_add_chat_to_data(): | |
| # Get the whole history as one string | |
| history_as_text = _concatinate_history(kwargs['history'], state) | |
| if history_as_text: | |
| # Delete all documents that were auto-inserted | |
| collector.delete(ids_to_delete=None, where=CHAT_METADATA) | |
| # Insert the processed history | |
| process_and_add_to_collector(history_as_text, collector, False, CHAT_METADATA) | |
| if _should_query(user_input): | |
| user_input = _remove_tag_if_necessary(user_input) | |
| results = collector.get_sorted_by_dist(user_input, n_results=parameters.get_chunk_count(), max_token_count=int(parameters.get_max_token_count())) | |
| # Check if the strategy is to modify the last message. If so, prepend or append to the user query. | |
| if parameters.get_injection_strategy() == parameters.APPEND_TO_LAST: | |
| user_input = user_input + create_context_text(results) | |
| elif parameters.get_injection_strategy() == parameters.PREPEND_TO_LAST: | |
| user_input = create_context_text(results) + user_input | |
| elif parameters.get_injection_strategy() == parameters.HIJACK_LAST_IN_CONTEXT: | |
| _hijack_last(create_context_text(results), kwargs['history'], state['truncation_length'], state) | |
| return chat.generate_chat_prompt(user_input, state, **kwargs) | |