Merge pull request #51 from bucolucas/feature/daemon-apprentice-system
Implement daemon and apprentice bot system
This commit is contained in:
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# Telegram Bot Tokens
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TELEGRAM_BOT_TOKEN=your_daemon_bot_token_here
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TELEGRAM_APPRENTICE_BOT_TOKEN=your_apprentice_bot_token_here
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# OpenAI API Key
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OPENAI_API_KEY=your_openai_api_key_here
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# Anthropic API Key
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ANTHROPIC_API_KEY=your_anthropic_api_key_here
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# GitHub Repository Information
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GITHUB_REPO_OWNER=your_github_username_or_organization
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GITHUB_REPO_NAME=your_repo_name
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GITHUB_ACCESS_TOKEN=your_github_personal_access_token
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# Chat IDs
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DAEMON_CHAT_ID=your_daemon_chat_id
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APPRENTICE_CHAT_ID=your_apprentice_chat_id
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# Telegram Inference Bot with Daemon and Apprentice System
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This project implements a Telegram bot system with two instances: a daemon bot and an apprentice bot. The daemon bot handles the main workload, while the apprentice bot can be updated and take over when needed.
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## Features
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- Daemon bot for handling main workload
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- Apprentice bot for updates and handovers
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- Automatic updates for the apprentice bot when new pull requests are merged
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- Inter-bot communication
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- Support for both OpenAI and Anthropic AI models
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- Tool integration for extended functionality
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## Setup
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1. Clone the repository:
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```
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git clone https://github.com/your_username/your_repo_name.git
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cd your_repo_name
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```
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2. Install the required dependencies:
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```
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pip install -r requirements.txt
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```
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3. Copy the `.env.example` file to `.env` and fill in your actual values:
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```
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cp .env.example .env
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```
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4. Edit the `.env` file with your specific tokens and settings.
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5. Run the bot:
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```
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python telegram_inference_bot.py
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```
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## Environment Variables
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Make sure to set the following environment variables in your `.env` file:
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- `TELEGRAM_BOT_TOKEN`: Token for the daemon bot
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- `TELEGRAM_APPRENTICE_BOT_TOKEN`: Token for the apprentice bot
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- `OPENAI_API_KEY`: Your OpenAI API key
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- `ANTHROPIC_API_KEY`: Your Anthropic API key
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- `GITHUB_REPO_OWNER`: Your GitHub username or organization
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- `GITHUB_REPO_NAME`: Your repository name
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- `GITHUB_ACCESS_TOKEN`: Your GitHub personal access token
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- `DAEMON_CHAT_ID`: Chat ID for the daemon bot
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- `APPRENTICE_CHAT_ID`: Chat ID for the apprentice bot
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## Usage
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- Start the bot by running `python telegram_inference_bot.py`
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- Use `/start` to begin interacting with either bot
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- Use `/handover` in the daemon bot to initiate a handover to the apprentice bot
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- The apprentice bot will automatically check for updates every 15 minutes
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## Commands
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- `/start`: Start interacting with the bot
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- `/clear`: Clear conversation history
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- `/switch`: Switch between GPT models (GPT-4 and GPT-4 Mini)
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- `/toggle`: Toggle between OpenAI and Anthropic providers
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- `/status`: Check the current model and provider
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- `/handover`: (Daemon bot only) Initiate handover to apprentice bot
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- `/update`: (Apprentice bot only) Manually trigger an update
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## Contributing
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Please read [CONTRIBUTING.md](CONTRIBUTING.md) for details on our code of conduct and the process for submitting pull requests.
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## License
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This project is licensed under the MIT License - see the [LICENSE.md](LICENSE.md) file for details.
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+73
-14
@@ -4,6 +4,8 @@ import importlib
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import inspect
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import logging
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import asyncio
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import subprocess
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import requests
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from telegram import Update, __version__ as telegram_version, InlineKeyboardButton, InlineKeyboardMarkup
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from telegram.ext import Application, CommandHandler, MessageHandler, filters, ContextTypes, CallbackQueryHandler
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from openai import OpenAI
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@@ -38,8 +40,12 @@ logging.basicConfig(level=logging.WARNING, handlers=[
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logging.FileHandler('logs/output.log', mode='a')
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])
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# Set up Telegram bot
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TELEGRAM_BOT_TOKEN = os.getenv('TELEGRAM_BOT_TOKEN')
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# Set up Telegram bots
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DAEMON_BOT_TOKEN = os.getenv('TELEGRAM_BOT_TOKEN')
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APPRENTICE_BOT_TOKEN = os.getenv('TELEGRAM_APPRENTICE_BOT_TOKEN')
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GITHUB_REPO_OWNER = os.getenv('GITHUB_REPO_OWNER')
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GITHUB_REPO_NAME = os.getenv('GITHUB_REPO_NAME')
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GITHUB_ACCESS_TOKEN = os.getenv('GITHUB_ACCESS_TOKEN')
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# Load system prompt
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with open("prompts/developer_prompt.txt", "r") as file:
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@@ -272,22 +278,75 @@ async def abort_processing(update: Update, context: ContextTypes.DEFAULT_TYPE) -
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else:
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await query.edit_message_text(text="No active processing to abort.")
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async def handover(update: Update, context: ContextTypes.DEFAULT_TYPE) -> None:
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if context.bot.token == DAEMON_BOT_TOKEN:
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# Daemon bot initiating handover
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apprentice_chat_id = os.getenv('APPRENTICE_CHAT_ID')
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await context.bot.send_message(chat_id=apprentice_chat_id, text="Handover initiated. Taking control.")
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await update.message.reply_text("Handover initiated. Apprentice bot is now in control.")
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else:
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await update.message.reply_text("Handover can only be initiated by the daemon bot.")
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async def update_apprentice(update: Update, context: ContextTypes.DEFAULT_TYPE) -> None:
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if context.bot.token == APPRENTICE_BOT_TOKEN:
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try:
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# Pull latest changes
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subprocess.run(["git", "pull", "origin", "main"], check=True)
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# Restart the bot
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os.execv(sys.executable, ['python'] + sys.argv)
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except subprocess.CalledProcessError as e:
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logging.error(f"Failed to pull latest changes: {e}")
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await update.message.reply_text("Failed to update. Please check the logs.")
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except Exception as e:
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logging.error(f"Failed to restart the bot: {e}")
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await update.message.reply_text("Failed to restart. Please check the logs.")
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else:
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await update.message.reply_text("Update can only be performed by the apprentice bot.")
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async def check_for_updates(context: ContextTypes.DEFAULT_TYPE) -> None:
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url = f"https://api.github.com/repos/{GITHUB_REPO_OWNER}/{GITHUB_REPO_NAME}/pulls"
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headers = {"Authorization": f"token {GITHUB_ACCESS_TOKEN}"}
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response = requests.get(url, headers=headers)
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if response.status_code == 200:
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pull_requests = response.json()
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for pr in pull_requests:
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if pr['state'] == 'closed' and pr['merged']:
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# A pull request was merged, update the apprentice bot
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await context.bot.send_message(chat_id=os.getenv('APPRENTICE_CHAT_ID'), text="A new update is available. Updating now...")
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await update_apprentice(None, context)
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break
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def main() -> None:
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# Create the Application and pass it your bot's token
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application = Application.builder().token(TELEGRAM_BOT_TOKEN).build()
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daemon_app = Application.builder().token(DAEMON_BOT_TOKEN).build()
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apprentice_app = Application.builder().token(APPRENTICE_BOT_TOKEN).build()
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# Add handlers
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application.add_handler(CommandHandler("start", start))
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application.add_handler(CommandHandler("clear", clear))
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application.add_handler(CommandHandler("switch", switch))
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application.add_handler(CommandHandler("toggle", switch_providers))
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application.add_handler(CommandHandler("status", status))
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application.add_handler(MessageHandler(filters.TEXT & ~filters.COMMAND, handle_message))
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application.add_handler(CallbackQueryHandler(abort_processing, pattern='^abort$'))
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# Add handlers for both bots
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for app in [daemon_app, apprentice_app]:
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app.add_handler(CommandHandler("start", start))
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app.add_handler(CommandHandler("clear", clear))
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app.add_handler(CommandHandler("switch", switch))
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app.add_handler(CommandHandler("toggle", switch_providers))
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app.add_handler(CommandHandler("status", status))
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app.add_handler(MessageHandler(filters.TEXT & ~filters.COMMAND, handle_message))
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app.add_handler(CallbackQueryHandler(abort_processing, pattern='^abort$'))
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# Start the Bot
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logging.info("Bot is running...")
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application.run_polling()
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# Add handover command only to daemon bot
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daemon_app.add_handler(CommandHandler("handover", handover))
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# Add update command only to apprentice bot
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apprentice_app.add_handler(CommandHandler("update", update_apprentice))
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# Set up job queue to check for updates every 15 minutes
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job_queue = apprentice_app.job_queue
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job_queue.run_repeating(check_for_updates, interval=900, first=10)
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# Start both bots
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logging.info("Bots are running...")
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daemon_app.run_polling()
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apprentice_app.run_polling()
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if __name__ == '__main__':
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main()
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