145 lines
4.7 KiB
Python
145 lines
4.7 KiB
Python
import logging
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import time
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from dataclasses import dataclass
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from queue import Queue, Empty
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from threading import Thread
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from storage.search import SearchIndexer
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from services.ai_services import AIServiceConfig
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@dataclass
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class Message:
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type: str
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timestamp: float
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message: str
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class MessageHandler:
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def __init__(self, intro):
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self.messages = [Message("system", time.time(), intro)]
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self.last_user_message_idx = None
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def add_user_message(self, message):
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if (self.last_user_message_idx is not None and self.last_user_message_idx != self.finalized_user_message_idx):
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previous_message = self.messages[self.last_user_message_idx].message
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self.messages[self.last_user_message_idx] = Message(
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"user", time.time(), ' '.join([previous_message, message])
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)
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self.messages = self.messages[: self.last_user_message_idx + 1]
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else:
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self.messages.append(Message("user", time.time(), message))
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self.last_user_message_idx = len(self.messages) - 1
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def add_assistant_message(self, message):
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if self.messages[-1].type == "assistant":
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self.messages[-1].message += " " + message
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else:
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self.messages.append(Message("assistant", time.time(), message))
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def add_assistant_messages(self, messages):
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self.messages.append(Message("assistant", time.time(), " ".join(messages)))
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def get_llm_messages(self):
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return [{"role": m.type, "content": m.message} for m in self.messages]
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def finalize_user_message(self):
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pass
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def shutdown(self):
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pass
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class IndexingMessageHandler(MessageHandler):
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def __init__(
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self, intro, services: AIServiceConfig, indexer: SearchIndexer
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) -> None:
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super().__init__(intro)
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self.services = services
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self.search_indexer = indexer
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self.last_written_idx = 0
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self.index_message_queue = Queue()
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self.index_writer_thread = Thread(target=self.indexer_writer, daemon=True)
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self.index_writer_thread.start()
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self.finalized_user_message_idx = None
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self.logger = logging.getLogger("bot-instance")
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def shutdown(self):
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self.finalize_user_message()
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self.index_message_queue.put(None)
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self.index_writer_thread.join()
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def indexer_writer(self):
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while True:
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try:
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message_idx = self.index_message_queue.get()
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self.index_message_queue.task_done()
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if message_idx is None:
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return
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if message_idx <= self.last_written_idx:
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continue
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self.last_written_idx = message_idx
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message = self.messages[message_idx]
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content = message.message
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if message.type == "user":
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content = self.cleanup_user_message(content)
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# sometimes the LLM returns a string wrapped in quotes and sometimes it doesn't.
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# if it didn't, wrap it in quotes
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if content[0] != '"':
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content = '"' + content + '"'
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self.search_indexer.index_text(content)
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except Empty:
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pass
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def cleanup_user_message(self, user_message) -> str:
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messages = [
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{
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"role": "system",
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"content": """
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You are an assistant who is very good at making transcriptions
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of human speech into well-capitalized and punctuated text, without
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changing any words or the order of the words. Please change this
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transcription to something suitable for the printed page.
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""",
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},
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{"role": "user", "content": user_message},
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]
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result = self.services.llm.run_llm(messages)
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if result:
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user_message = result
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return user_message
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def finalize_user_message(self):
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self.finalized_user_message_idx = self.last_user_message_idx
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self.write_messages_to_index()
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def write_messages_to_index(self):
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if self.finalized_user_message_idx is None:
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return
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for idx in range(self.last_written_idx, len(self.messages)):
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self.logger.info(
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f"writing to index: {self.messages[idx].type} {self.messages[idx].message}"
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)
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if (
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self.messages[idx].type == "user"
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and idx > self.finalized_user_message_idx
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):
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break
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if self.messages[idx].type != "system":
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self.index_message_queue.put(idx)
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