108 lines
4.1 KiB
Python
108 lines
4.1 KiB
Python
import asyncio
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import json
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import os
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from pathlib import Path
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import signal
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import sys
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from bot import Bot
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from log import getlogger
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logger = getlogger()
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async def main():
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need_import_keys = False
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config_path = Path(os.path.dirname(__file__)).parent / "config.json"
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if os.path.isfile(config_path):
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try:
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fp = open(config_path, encoding="utf8")
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config = json.load(fp)
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except Exception:
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logger.error("config.json load error, please check the file")
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sys.exit(1)
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matrix_bot = Bot(
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homeserver=config.get("homeserver"),
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user_id=config.get("user_id"),
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password=config.get("password"),
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device_id=config.get("device_id"),
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room_id=config.get("room_id"),
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import_keys_path=config.get("import_keys_path"),
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import_keys_password=config.get("import_keys_password"),
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openai_api_key=config.get("openai_api_key"),
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gpt_api_endpoint=config.get("gpt_api_endpoint"),
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gpt_model=config.get("gpt_model"),
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max_tokens=int(config.get("max_tokens")),
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top_p=float(config.get("top_p")),
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presence_penalty=float(config.get("presence_penalty")),
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frequency_penalty=float(config.get("frequency_penalty")),
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reply_count=int(config.get("reply_count")),
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system_prompt=config.get("system_prompt"),
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temperature=float(config.get("temperature")),
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flowise_api_url=config.get("flowise_api_url"),
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flowise_api_key=config.get("flowise_api_key"),
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image_generation_endpoint=config.get("image_generation_endpoint"),
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image_generation_backend=config.get("image_generation_backend"),
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timeout=float(config.get("timeout")),
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)
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if (
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config.get("import_keys_path")
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and config.get("import_keys_password") is not None
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):
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need_import_keys = True
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else:
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matrix_bot = Bot(
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homeserver=os.environ.get("HOMESERVER"),
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user_id=os.environ.get("USER_ID"),
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password=os.environ.get("PASSWORD"),
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device_id=os.environ.get("DEVICE_ID"),
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room_id=os.environ.get("ROOM_ID"),
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import_keys_path=os.environ.get("IMPORT_KEYS_PATH"),
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import_keys_password=os.environ.get("IMPORT_KEYS_PASSWORD"),
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openai_api_key=os.environ.get("OPENAI_API_KEY"),
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gpt_api_endpoint=os.environ.get("GPT_API_ENDPOINT"),
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gpt_model=os.environ.get("GPT_MODEL"),
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max_tokens=int(os.environ.get("MAX_TOKENS")),
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top_p=float(os.environ.get("TOP_P")),
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presence_penalty=float(os.environ.get("PRESENCE_PENALTY")),
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frequency_penalty=float(os.environ.get("FREQUENCY_PENALTY")),
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reply_count=int(os.environ.get("REPLY_COUNT")),
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system_prompt=os.environ.get("SYSTEM_PROMPT"),
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temperature=float(os.environ.get("TEMPERATURE")),
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flowise_api_url=os.environ.get("FLOWISE_API_URL"),
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flowise_api_key=os.environ.get("FLOWISE_API_KEY"),
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image_generation_endpoint=os.environ.get("IMAGE_GENERATION_ENDPOINT"),
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image_generation_backend=os.environ.get("IMAGE_GENERATION_BACKEND"),
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timeout=float(os.environ.get("TIMEOUT")),
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)
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if (
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os.environ.get("IMPORT_KEYS_PATH")
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and os.environ.get("IMPORT_KEYS_PASSWORD") is not None
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):
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need_import_keys = True
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await matrix_bot.login()
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if need_import_keys:
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logger.info("start import_keys process, this may take a while...")
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await matrix_bot.import_keys()
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sync_task = asyncio.create_task(
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matrix_bot.sync_forever(timeout=30000, full_state=True)
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)
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# handle signal interrupt
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loop = asyncio.get_running_loop()
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for signame in ("SIGINT", "SIGTERM"):
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loop.add_signal_handler(
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getattr(signal, signame),
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lambda: asyncio.create_task(matrix_bot.close(sync_task)),
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)
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await sync_task
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if __name__ == "__main__":
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logger.info("matrix chatgpt bot start.....")
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asyncio.run(main())
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