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314 lines
11 KiB
314 lines
11 KiB
from dotenv import load_dotenv
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load_dotenv() # take environment variables from .env.
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import ast
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import json
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import queue
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import os
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import traceback
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import re
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from fastapi import FastAPI
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from fastapi.responses import PlainTextResponse
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from starlette.websockets import WebSocket, WebSocketDisconnect
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from .stt.stt import stt_bytes
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from .tts.tts import stream_tts
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from pathlib import Path
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import asyncio
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import urllib.parse
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from .utils.kernel import put_kernel_messages_into_queue
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from .i import configure_interpreter
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from interpreter import interpreter
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import ngrok
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from ..utils.accumulator import Accumulator
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from .utils.logs import setup_logging
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from .utils.logs import logger
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setup_logging()
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accumulator = Accumulator()
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app = FastAPI()
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conversation_history_path = Path(__file__).parent / 'conversations' / 'user.json'
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# This is so we only say() full sentences
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def is_full_sentence(text):
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return text.endswith(('.', '!', '?'))
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def split_into_sentences(text):
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return re.split(r'(?<=[.!?])\s+', text)
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# Queues
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from_computer = queue.Queue() # Just for computer messages from the device. Sync queue because interpreter.run is synchronous
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from_user = asyncio.Queue() # Just for user messages from the device.
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to_device = asyncio.Queue() # For messages we send.
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# Switch code executor to device if that's set
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if os.getenv('CODE_RUNNER') == "device":
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# (This should probably just loop through all languages and apply these changes instead)
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class Python:
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# This is the name that will appear to the LLM.
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name = "python"
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def __init__(self):
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self.halt = False
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def run(self, code):
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"""Generator that yields a dictionary in LMC Format."""
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# Prepare the data
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message = {"role": "assistant", "type": "code", "format": "python", "content": code}
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# Unless it was just sent to the device, send it wrapped in flags
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if not (interpreter.messages and interpreter.messages[-1] == message):
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to_device.put({"role": "assistant", "type": "code", "format": "python", "start": True})
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to_device.put(message)
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to_device.put({"role": "assistant", "type": "code", "format": "python", "end": True})
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# Stream the response
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logger.info("Waiting for the device to respond...")
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while True:
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chunk = from_computer.get()
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logger.info(f"Server received from device: {chunk}")
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if "end" in chunk:
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break
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yield chunk
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def stop(self):
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self.halt = True
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def terminate(self):
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"""Terminates the entire process."""
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# dramatic!! do nothing
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pass
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interpreter.computer.languages = [Python]
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# Configure interpreter
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interpreter = configure_interpreter(interpreter)
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@app.get("/ping")
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async def ping():
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return PlainTextResponse("pong")
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@app.websocket("/")
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async def websocket_endpoint(websocket: WebSocket):
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await websocket.accept()
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receive_task = asyncio.create_task(receive_messages(websocket))
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send_task = asyncio.create_task(send_messages(websocket))
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try:
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await asyncio.gather(receive_task, send_task)
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except Exception as e:
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logger.debug(traceback.format_exc())
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logger.info(f"Connection lost. Error: {e}")
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async def receive_messages(websocket: WebSocket):
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while True:
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try:
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try:
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data = await websocket.receive()
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except Exception as e:
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print(str(e))
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return
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if 'text' in data:
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try:
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data = json.loads(data['text'])
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if data["role"] == "computer":
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from_computer.put(data) # To be handled by interpreter.computer.run
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elif data["role"] == "user":
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await from_user.put(data)
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else:
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raise("Unknown role:", data)
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except json.JSONDecodeError:
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pass # data is not JSON, leave it as is
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elif 'bytes' in data:
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data = data['bytes'] # binary data
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await from_user.put(data)
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except WebSocketDisconnect as e:
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if e.code == 1000:
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logger.info("Websocket connection closed normally.")
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return
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else:
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raise
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async def send_messages(websocket: WebSocket):
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while True:
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message = await to_device.get()
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logger.debug(f"Sending to the device: {type(message)} {message}")
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try:
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if isinstance(message, dict):
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await websocket.send_json(message)
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elif isinstance(message, bytes):
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await websocket.send_bytes(message)
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else:
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raise TypeError("Message must be a dict or bytes")
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except:
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# Make sure to put the message back in the queue if you failed to send it
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await to_device.put(message)
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raise
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async def listener():
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while True:
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while True:
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if not from_user.empty():
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chunk = await from_user.get()
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break
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elif not from_computer.empty():
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chunk = from_computer.get()
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break
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await asyncio.sleep(1)
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message = accumulator.accumulate(chunk)
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if message == None:
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# Will be None until we have a full message ready
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continue
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# print(str(message)[:1000])
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# At this point, we have our message
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if message["type"] == "audio" and message["format"].startswith("bytes"):
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if not message["content"]: # If it was nothing / silence
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continue
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# Convert bytes to audio file
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# Format will be bytes.wav or bytes.opus
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mime_type = "audio/" + message["format"].split(".")[1]
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text = stt_bytes(message["content"], mime_type)
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message = {"role": "user", "type": "message", "content": text}
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# At this point, we have only text messages
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# Custom stop message will halt us
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if message["content"].lower().strip(".,! ") == "stop":
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continue
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# Load, append, and save conversation history
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with open(conversation_history_path, 'r') as file:
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messages = json.load(file)
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messages.append(message)
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with open(conversation_history_path, 'w') as file:
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json.dump(messages, file, indent=4)
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accumulated_text = ""
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for chunk in interpreter.chat(messages, stream=True, display=False):
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logger.debug("Got chunk:", chunk)
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# Send it to the user
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await to_device.put(chunk)
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# Yield to the event loop, so you actually send it out
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await asyncio.sleep(0.01)
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if os.getenv('TTS_RUNNER') == "server":
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# Speak full sentences out loud
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if chunk["role"] == "assistant" and "content" in chunk:
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accumulated_text += chunk["content"]
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sentences = split_into_sentences(accumulated_text)
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# If we're going to speak, say we're going to stop sending text.
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# This should be fixed probably, we should be able to do both in parallel, or only one.
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if any(is_full_sentence(sentence) for sentence in sentences):
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await to_device.put({"role": "assistant", "type": "message", "end": True})
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if is_full_sentence(sentences[-1]):
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for sentence in sentences:
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await stream_tts_to_device(sentence)
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accumulated_text = ""
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else:
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for sentence in sentences[:-1]:
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await stream_tts_to_device(sentence)
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accumulated_text = sentences[-1]
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# If we're going to speak, say we're going to stop sending text.
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# This should be fixed probably, we should be able to do both in parallel, or only one.
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if any(is_full_sentence(sentence) for sentence in sentences):
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await to_device.put({"role": "assistant", "type": "message", "start": True})
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# If we have a new message, save our progress and go back to the top
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if not from_user.empty():
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# Check if it's just an end flag. We ignore those.
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temp_message = await from_user.get()
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if temp_message == {'role': 'user', 'type': 'message', 'end': True}:
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# Yup. False alarm.
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continue
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else:
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# Whoops! Put that back
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await from_user.put(temp_message)
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with open(conversation_history_path, 'w') as file:
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json.dump(interpreter.messages, file, indent=4)
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logger.info("New user message recieved. Breaking.")
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break
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# Also check if there's any new computer messages
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if not from_computer.empty():
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with open(conversation_history_path, 'w') as file:
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json.dump(interpreter.messages, file, indent=4)
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logger.info("New computer message recieved. Breaking.")
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break
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else:
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with open(conversation_history_path, 'w') as file:
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json.dump(interpreter.messages, file, indent=4)
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async def stream_tts_to_device(sentence):
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for chunk in stream_tts(sentence):
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await to_device.put(chunk)
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async def setup_ngrok(ngrok_auth_token, parsed_url):
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# Set up Ngrok
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logger.info("Setting up Ngrok")
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ngrok_listener = await ngrok.forward(f"{parsed_url.hostname}:{parsed_url.port}", authtoken=ngrok_auth_token)
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ngrok_parsed_url = urllib.parse.urlparse(ngrok_listener.url())
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# Setup SERVER_URL environment variable for device to use
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connection_url = f"wss://{ngrok_parsed_url.hostname}/"
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logger.info(f"Ngrok established at {ngrok_parsed_url.geturl()}")
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logger.info(f"\033[1mSERVER_CONNECTION_URL should be set to \"{connection_url}\"\033[0m")
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from uvicorn import Config, Server
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# Run the FastAPI app
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if __name__ == "__main__":
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async def main():
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# Start listening
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asyncio.create_task(listener())
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# Start watching the kernel if it's your job to do that
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if os.getenv('CODE_RUNNER') == "server":
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asyncio.create_task(put_kernel_messages_into_queue(from_computer))
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server_url = os.getenv('SERVER_URL')
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if not server_url:
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raise ValueError("The environment variable SERVER_URL is not set. Please set it to proceed.")
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parsed_url = urllib.parse.urlparse(server_url)
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# Set up Ngrok
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ngrok_auth_token = os.getenv('NGROK_AUTHTOKEN')
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if ngrok_auth_token is not None:
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await setup_ngrok(ngrok_auth_token, parsed_url)
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logger.info("Starting `server.py`...")
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config = Config(app, host=parsed_url.hostname, port=parsed_url.port, lifespan='on')
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server = Server(config)
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await server.serve()
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asyncio.run(main()) |