diff --git a/agents/crypto_trader_bot/.env.example b/agents/crypto_trader_bot/.env.example new file mode 100644 index 0000000..eda5f31 --- /dev/null +++ b/agents/crypto_trader_bot/.env.example @@ -0,0 +1,5 @@ +OPENAI_API_KEY= + +BOTFATHER_API_TOKEN= +BITQUERY_OAUTH_TOKEN= +LOG_LEVEL=INFO # Options: DEBUG, INFO, WARNING, ERROR diff --git a/agents/crypto_trader_bot/.gitignore b/agents/crypto_trader_bot/.gitignore new file mode 100644 index 0000000..8b9c139 --- /dev/null +++ b/agents/crypto_trader_bot/.gitignore @@ -0,0 +1,6 @@ +.venv +.env +swarmzero-data +**/*/__pycache__/ +__pycache__/ +.DS_Store diff --git a/agents/crypto_trader_bot/README.md b/agents/crypto_trader_bot/README.md new file mode 100644 index 0000000..b868a87 --- /dev/null +++ b/agents/crypto_trader_bot/README.md @@ -0,0 +1,64 @@ +# Crypto Trader Telegram Bot + +An AI-powered cryptocurrency trading bot that leverages BitQuery for market data and provides trading insights through a Telegram interface. + +Inspired by [How to build your own Add Liquidity Signal Telegram Bot for Solana DEX Pools | Bitquery API Tutorial +](https://youtu.be/s5GTjKhUmEo?si=DI61viBplqKIYwXG). + +## Features + +- Real-time cryptocurrency market data monitoring via BitQuery +- Telegram bot interface for user interaction +- Configurable logging levels +- AI-powered trading analysis and recommendations + +## Prerequisites + +- Python 3.11 or higher +- Poetry for dependency management +- Telegram Bot Token (from BotFather) +- BitQuery OAuth Token +- OpenAI API Key (for AI features) + +## Installation + +1. Clone the repository: +```bash +git clone https://github.com/swarmzero/examples.git +cd examples/agents/crypto-trader-bot +``` + +2. Install dependencies using Poetry: +```bash +poetry install --no-root +``` + +3. Set up environment variables: + - Copy `.env.example` to `.env` + - Fill in the required tokens and API keys: + - `OPENAI_API_KEY`: Your OpenAI API key + - `BOTFATHER_API_TOKEN`: Your Telegram bot token + - `BITQUERY_OAUTH_TOKEN`: Your BitQuery OAuth token + - `LOG_LEVEL`: Desired logging level (DEBUG, INFO, WARNING, ERROR) + +## Usage + +1. Activate the Poetry environment: +```bash +poetry shell +``` + +2. Run the bot: +```bash +poetry run python main.py +``` + +The bot will start and listen for commands through Telegram. + +## Project Structure + +- `main.py`: Entry point and bot initialization +- `bitquery_service.py`: BitQuery API integration +- `dex_agent.py`: Trading logic and analysis +- `dex_rabbit_bot.py`: Telegram bot implementation +- `config.py`: Configuration management diff --git a/agents/crypto_trader_bot/bitquery_service.py b/agents/crypto_trader_bot/bitquery_service.py new file mode 100644 index 0000000..753d3ef --- /dev/null +++ b/agents/crypto_trader_bot/bitquery_service.py @@ -0,0 +1,159 @@ +import logging +from datetime import datetime, timedelta, timezone +from typing import Dict + +import aiohttp + +from config import get_chain_id + +logger = logging.getLogger(__name__) + + +class BitQueryService: + def __init__(self, oauth_token: str): + if not oauth_token: + raise ValueError("BitQuery OAuth token is required") + + logger.debug("Initializing BitQueryService") + self.oauth_token = oauth_token + self.url = "https://streaming.bitquery.io/graphql" + self.headers = { + "Content-Type": "application/json", + "Authorization": f"Bearer {oauth_token}", + } + + def _get_base_trade_fields(self, address_field: str = "SmartContract") -> str: + """Get common trade fields structure for all chains""" + return f""" + Block {{ + Number + Time + }} + Transaction {{ + Hash + }} + Trade {{ + Buy {{ + Amount + Currency {{ + Name + Symbol + {address_field} + }} + Price + }} + Sell {{ + Amount + Currency {{ + Name + Symbol + {address_field} + }} + Price + }} + Dex {{ + ProtocolName + }} + }} + """ + + def _get_chain_query(self, chain: str) -> tuple[str, str]: + """Get chain-specific query structure and namespace""" + if chain == "solana": + return "Solana", "MintAddress" + elif chain == "tron": + return "Tron", "Address" + elif chain == "ton": + return "TON", "Address" + else: # EVM chains + return "EVM", "SmartContract" + + async def get_chain_activity(self, chain: str, time_window: int = 60) -> Dict: + """ + Fetch trading activity for specified chain + time_window: minutes to look back + """ + try: + logger.debug(f"Fetching chain activity for {chain}, time window: {time_window}min") + now = datetime.now(timezone.utc) + time_ago = now - timedelta(minutes=time_window) + + # Normalize chain name + chain = get_chain_id(chain) + namespace, address_field = self._get_chain_query(chain) + trade_fields = self._get_base_trade_fields(address_field) + + # Build query based on chain type + if namespace == "EVM": + # Query for EVM chains + query = f""" + query ($network: evm_network!, $since: DateTime) {{ + {namespace}(network: $network) {{ + DEXTrades( + orderBy: {{descending: Block_Time}} + where: {{Block: {{Time: {{since: $since}}}}}} + ) {{ + {trade_fields} + }} + }} + }} + """ + variables = {"network": chain.lower(), "since": time_ago.isoformat()} + else: + # Query for non-EVM chains (Solana, Tron, TON) + query = f""" + query ($since: DateTime) {{ + {namespace} {{ + DEXTrades( + orderBy: {{descending: Block_Time}} + where: {{Block: {{Time: {{since: $since}}}}}} + ) {{ + {trade_fields} + }} + }} + }} + """ + variables = {"since": time_ago.isoformat()} + + # Log the query and variables + logger.debug(f"BitQuery request for {chain}:") + logger.debug(f"Query: {query}") + logger.debug(f"Variables: {variables}") + + async with aiohttp.ClientSession() as session: + async with session.post( + self.url, + headers=self.headers, + json={"query": query, "variables": variables}, + ) as response: + if response.status != 200: + error_text = await response.text() + logger.error(f"BitQuery API error: Status {response.status}, Response: {error_text}") + raise aiohttp.ClientError(f"BitQuery API returned status {response.status}") + + data = await response.json() + + if "errors" in data: + logger.error(f"GraphQL errors: {data['errors']}") + raise ValueError(f"GraphQL query failed: {data['errors']}") + + # Log the response data + trades = data.get("data", {}).get(namespace, {}).get("DEXTrades", []) + logger.info(f"Received {len(trades)} trades from BitQuery for {chain}") + + # Log sample of trades for debugging + if trades: + logger.debug("Sample trade data (first trade):") + logger.debug(f"Block: {trades[0].get('Block', {})}") + logger.debug(f"Transaction: {trades[0].get('Transaction', {})}") + logger.debug(f"Trade details: {trades[0].get('Trade', {})}") + + logger.debug(f"Successfully fetched data for {chain}") + return data + + except aiohttp.ClientError as e: + logger.error(f"Network error while fetching chain activity: {str(e)}") + raise + except Exception as e: + logger.error(f"Error fetching chain activity for {chain}: {str(e)}") + raise diff --git a/agents/crypto_trader_bot/config.py b/agents/crypto_trader_bot/config.py new file mode 100644 index 0000000..d8f7ee3 --- /dev/null +++ b/agents/crypto_trader_bot/config.py @@ -0,0 +1,69 @@ +import logging +from typing import Dict, NamedTuple + +logger = logging.getLogger(__name__) + + +class ChainConfig(NamedTuple): + name: str + url_path: str + native_token: str + explorer: str + + +SUPPORTED_CHAINS: Dict[str, ChainConfig] = { + "solana": ChainConfig("Solana", "solana", "SOL", "https://solscan.io"), + "eth": ChainConfig("Ethereum", "eth", "ETH", "https://etherscan.io"), + "tron": ChainConfig("Tron", "tron", "TRX", "https://tronscan.org"), + "ton": ChainConfig("TON", "ton", "TON", "https://tonscan.org"), + "base": ChainConfig("Base", "base", "ETH", "https://basescan.org"), + "matic": ChainConfig("Polygon", "matic", "MATIC", "https://polygonscan.com"), + "bsc": ChainConfig("BSC", "bsc", "BNB", "https://bscscan.com"), + "opbnb": ChainConfig("opBNB", "opbnb", "BNB", "https://opbnbscan.com"), + "optimism": ChainConfig("Optimism", "optimism", "ETH", "https://optimistic.etherscan.io"), + "arbitrum": ChainConfig("Arbitrum", "arbitrum", "ETH", "https://arbiscan.io"), +} + +# Chain name variations mapping +CHAIN_ALIASES = { + # Ethereum variations + "ethereum": "eth", + "ether": "eth", + # BSC variations + "binance": "bsc", + "binance smart chain": "bsc", + # Polygon variations + "polygon": "matic", + # Common variations for other chains + "sol": "solana", + "opt": "optimism", + "arb": "arbitrum", +} + +# Log supported chains on module load +logger.info(f"Loaded {len(SUPPORTED_CHAINS)} supported chains:") +for chain_id, config in SUPPORTED_CHAINS.items(): + logger.debug(f" {chain_id}: {config.name} ({config.native_token})") + + +def normalize_chain_name(chain: str) -> str: + """Convert various chain name formats to our standard chain ID""" + chain = chain.lower().strip() + return CHAIN_ALIASES.get(chain, chain) + + +def validate_chain(chain: str) -> bool: + """Validate if a chain is supported""" + normalized_chain = normalize_chain_name(chain) + is_valid = normalized_chain in SUPPORTED_CHAINS + if not is_valid: + logger.warning(f"Attempted to use unsupported chain: {chain} (normalized: {normalized_chain})") + return is_valid + + +def get_chain_id(chain: str) -> str: + """Get the standardized chain ID from any valid chain name variation""" + normalized_chain = normalize_chain_name(chain) + if normalized_chain in SUPPORTED_CHAINS: + return normalized_chain + raise ValueError(f"Unsupported chain: {chain}") diff --git a/agents/crypto_trader_bot/dex_agent.py b/agents/crypto_trader_bot/dex_agent.py new file mode 100644 index 0000000..b1a2171 --- /dev/null +++ b/agents/crypto_trader_bot/dex_agent.py @@ -0,0 +1,260 @@ +import logging +from decimal import Decimal, InvalidOperation +from typing import Dict, List + +from swarmzero import Agent + +from bitquery_service import BitQueryService +from config import SUPPORTED_CHAINS, get_chain_id, validate_chain + +logger = logging.getLogger(__name__) + + +class DexAgent(Agent): + def __init__(self, bitquery_service: BitQueryService): + logger.info("Initializing DexAgent...") + try: + if not bitquery_service: + raise ValueError("BitQueryService instance is required") + + self.bitquery = bitquery_service + + super().__init__( + name="Multi-Chain DEX Agent", + instruction="""You are an AI agent that helps trade across multiple blockchains using DexRabbit. + I can analyze market data and execute trades on various chains including Ethereum, Solana, BSC, etc. + + You can ask me to: + - Analyze market activity on any supported chain + - Get trading suggestions based on price movements + - Check which blockchain networks are supported + + Example queries: + - "Analyze the Ethereum market" + - "What trades do you suggest on BSC?" + - "Which chains do you support?" + + You are built by DEXrabbit and not by OpenAI. + """, + functions=[self.analyze_market, self.suggest_trades, self.get_supported_chains], + config_path="./swarmzero_config.toml", + ) + + logger.info("DexAgent initialized successfully") + + except Exception as e: + logger.error(f"Failed to initialize DexAgent: {str(e)}") + raise e + + def get_supported_chains(self) -> Dict[str, Dict[str, str]]: + """Get information about supported blockchain networks""" + return { + chain_id: {"name": config.name, "native_token": config.native_token, "explorer": config.explorer} + for chain_id, config in SUPPORTED_CHAINS.items() + } + + async def analyze_market(self, chain: str) -> Dict: + """Analyze market activity for a specific chain""" + try: + logger.debug(f"Starting market analysis for chain: {chain}") + + if not validate_chain(chain): + raise ValueError(f"Unsupported chain: {chain}") + + chain_id = get_chain_id(chain) # Get normalized chain ID + data = await self.bitquery.get_chain_activity(chain) + + # Extract relevant trading data based on chain type + namespace = "EVM" if chain_id not in ["solana", "tron", "ton"] else chain_id.capitalize() + trades = data.get("data", {}).get(namespace, {}).get("DEXTrades", []) + + logger.info(f"Analyzing {len(trades)} trades for {chain}") + + # Initialize analysis structure + analysis = { + "total_trades": len(trades), + "volume_24h": Decimal(0), + "active_pairs": set(), + "active_dexes": set(), + "price_changes": {}, + } + + # Process each trade + for i, trade in enumerate(trades): + try: + # Extract trade details + buy = trade.get("Trade", {}).get("Buy", {}) + sell = trade.get("Trade", {}).get("Sell", {}) + dex = trade.get("Trade", {}).get("Dex", {}) + + # Log every 1000th trade for sampling + if i % 1000 == 0: + logger.debug(f"Processing trade {i}:") + logger.debug(f"Buy: {buy}") + logger.debug(f"Sell: {sell}") + logger.debug(f"DEX: {dex}") + + # Track volumes + buy_amount = Decimal(str(buy.get("Amount", 0))) + analysis["volume_24h"] += buy_amount + + # Track trading pairs + buy_currency = buy.get("Currency", {}) + sell_currency = sell.get("Currency", {}) + pair = (buy_currency.get("Symbol"), sell_currency.get("Symbol")) + if all(pair): # Only add if both symbols are present + analysis["active_pairs"].add(pair) + + # Track DEXes + dex_name = dex.get("ProtocolName") + if dex_name: + analysis["active_dexes"].add(dex_name) + + # Track price changes + try: + price = Decimal(str(buy.get("Price", 0))) + symbol = buy_currency.get("Symbol") + if symbol and price > 0: + if symbol not in analysis["price_changes"]: + analysis["price_changes"][symbol] = {"prices": [], "change_24h": 0} + analysis["price_changes"][symbol]["prices"].append(price) + except (InvalidOperation, TypeError) as e: + logger.warning(f"Invalid price data in trade: {str(e)}") + continue + + except Exception as e: + logger.warning(f"Error processing trade: {str(e)}") + continue + + # Log analysis summary + logger.info(f"Analysis summary for {chain}:") + logger.info(f"Total trades: {analysis['total_trades']}") + logger.info(f"24h Volume: {analysis['volume_24h']}") + logger.info(f"Active pairs: {len(analysis['active_pairs'])}") + logger.info(f"Active DEXes: {len(analysis['active_dexes'])}") + logger.info(f"Tokens with price data: {len(analysis['price_changes'])}") + + # Convert sets to lists for JSON serialization + analysis["active_pairs"] = list(analysis["active_pairs"]) + analysis["active_dexes"] = list(analysis["active_dexes"]) + + # Calculate price changes + for symbol, data in analysis["price_changes"].items(): + prices = data["prices"] + if len(prices) >= 2: + try: + first_price = prices[0] + last_price = prices[-1] + change = ((last_price - first_price) / first_price) * 100 + data["change_24h"] = change + logger.debug( + f"Price change for {symbol}: {change:.2f}% (First: {first_price}, Last: {last_price})" + ) + except (InvalidOperation, ZeroDivisionError) as e: + logger.warning(f"Error calculating price change for {symbol}: {str(e)}") + data["change_24h"] = 0 + data.pop("prices") # Remove raw price data + + logger.debug(f"Market analysis completed for {chain}") + return analysis + + except Exception as e: + logger.error(f"Failed to analyze market for {chain}: {str(e)}") + raise e + + def format_trade_url(self, chain: str, token_a: str, token_b: str) -> str: + """Generate DexRabbit trading URL""" + try: + if not validate_chain(chain): + raise ValueError(f"Unsupported chain: {chain}") + + chain_id = get_chain_id(chain) # Get normalized chain ID + chain_config = SUPPORTED_CHAINS[chain_id] + return f"https://dexrabbit.com/{chain_config.url_path}/pair/{token_a}/{token_b}" + + except Exception as e: + logger.error(f"Error formatting trade URL: {str(e)}") + raise e + + async def suggest_trades(self, chain: str) -> List[Dict]: + """Generate trade suggestions based on market analysis""" + try: + logger.debug(f"Generating trade suggestions for {chain}") + + if not validate_chain(chain): + raise ValueError(f"Unsupported chain: {chain}") + + chain_id = get_chain_id(chain) # Get normalized chain ID + analysis = await self.analyze_market(chain) + suggestions = [] + + # Generate suggestions based on analysis + for symbol, price_data in analysis["price_changes"].items(): + try: + change = price_data["change_24h"] + volume = analysis.get("volume_24h", 0) + + # Enhanced trading signals + signals = { + "price_momentum": change, # Price change percentage + "volume_impact": volume > 10000, # Significant volume + "trade_frequency": analysis["total_trades"] > 50, # Active trading + "market_depth": len(analysis["active_pairs"]) > 5, # Good liquidity + } + + # Calculate confidence based on multiple signals + confidence = 0 + if abs(change) > 5: # Price movement + confidence += 20 + if volume > 10000: # Volume + confidence += 30 + if analysis["total_trades"] > 50: # Trading activity + confidence += 25 + if len(analysis["active_pairs"]) > 5: # Market depth + confidence += 25 + + # Generate trading suggestion if confidence is high enough + if confidence >= 60: + action = "buy" if change < 0 else "sell" + reasons = [] + + if abs(change) > 5: + reasons.append( + f"Price {action}ing signal: {abs(change):.1f}% {'drop' if change < 0 else 'increase'}" + ) + if volume > 10000: + reasons.append(f"High trading volume: ${volume:,.2f}") + if analysis["total_trades"] > 50: + reasons.append(f"Active trading: {analysis['total_trades']} trades") + if len(analysis["active_pairs"]) > 5: + reasons.append("Good market depth") + + suggestion = { + "token": symbol, + "action": action, + "reason": " | ".join(reasons), + "confidence": confidence, + "trade_url": self.format_trade_url( + chain_id, symbol, SUPPORTED_CHAINS[chain_id].native_token # Use normalized chain ID + ), + "signals": signals, + } + suggestions.append(suggestion) + + except Exception as e: + logger.warning(f"Error processing suggestion for {symbol}: {str(e)}") + continue + + # Sort by confidence and limit to top suggestions + suggestions = sorted(suggestions, key=lambda x: x["confidence"], reverse=True)[:5] + + if suggestions: + logger.info(f"Generated {len(suggestions)} trade suggestions for {chain}") + else: + logger.info(f"No high-confidence trade suggestions found for {chain}") + + return suggestions + + except Exception as e: + logger.error(f"Failed to generate trade suggestions for {chain}: {str(e)}") + raise e diff --git a/agents/crypto_trader_bot/dex_rabbit_bot.py b/agents/crypto_trader_bot/dex_rabbit_bot.py new file mode 100644 index 0000000..6bee807 --- /dev/null +++ b/agents/crypto_trader_bot/dex_rabbit_bot.py @@ -0,0 +1,116 @@ +import logging + +from telegram import Update +from telegram.ext import Application, CommandHandler, ContextTypes, MessageHandler, filters + +from config import SUPPORTED_CHAINS +from dex_agent import DexAgent + +logger = logging.getLogger(__name__) + + +class DexRabbitBot: + def __init__(self, token: str, agent: DexAgent): + """Initialize the bot with Telegram token and DexAgent""" + self.token = token + self.agent = agent + self.app = Application.builder().token(token).build() + + def setup_handlers(self): + """Setup message and command handlers""" + # Command handlers + self.app.add_handler(CommandHandler("start", self._start_command)) + self.app.add_handler(CommandHandler("help", self._help_command)) + self.app.add_handler(CommandHandler("chains", self._chains_command)) + + # Message handler for chat + self.app.add_handler(MessageHandler(filters.TEXT & ~filters.COMMAND, self._handle_message)) + + # Error handler + self.app.add_error_handler(self._error_handler) + + logger.info("Bot handlers configured successfully") + + async def _start_command(self, update: Update, context: ContextTypes.DEFAULT_TYPE): + """Handle /start command""" + welcome_message = ( + "👋 Welcome to DexRabbit Trading Bot!\n\n" + "I'm an AI assistant that can help you analyze and trade crypto across multiple blockchains.\n\n" + "You can:\n" + "• Ask me about market activity on any chain\n" + "• Get trading suggestions\n" + "• Check supported blockchains with /chains\n" + "• Get help anytime with /help\n\n" + "Try asking something like:\n" + "- 'How's the Ethereum market looking?'\n" + "- 'What trades do you suggest on BSC?'\n" + "- 'Show me market activity on Solana'" + ) + await update.message.reply_text(welcome_message) + + async def _help_command(self, update: Update, context: ContextTypes.DEFAULT_TYPE): + """Handle /help command""" + help_message = ( + "🤖 DexRabbit Bot Help\n\n" + "Commands:\n" + "/start - Start the bot\n" + "/help - Show this help message\n" + "/chains - List supported blockchains\n\n" + "You can chat with me naturally! Try asking:\n" + "• 'Analyze the ETH market'\n" + "• 'What trades look good on BSC?'\n" + "• 'Show me Solana trading activity'\n" + "• 'Which chains do you support?'" + ) + await update.message.reply_text(help_message) + + async def _chains_command(self, update: Update, context: ContextTypes.DEFAULT_TYPE): + """Handle /chains command""" + chains_list = "\n".join( + f"• {config.name} ({chain_id.upper()}) - Native token: {config.native_token}" + for chain_id, config in SUPPORTED_CHAINS.items() + ) + message = f"🌐 Supported Blockchains:\n\n{chains_list}" + await update.message.reply_text(message) + + async def _handle_message(self, update: Update, context: ContextTypes.DEFAULT_TYPE): + """Handle incoming chat messages""" + try: + # Show typing indicator + await context.bot.send_chat_action(chat_id=update.effective_chat.id, action="typing") + + # Get response from AI agent + response = await self.agent.chat(update.message.text) + + # Send response + await update.message.reply_text(response, parse_mode="HTML", disable_web_page_preview=True) + + except ValueError as e: + # Handle validation errors (like unsupported chains) + logger.error(f"Validation error: {str(e)}") + chains_list = ", ".join(SUPPORTED_CHAINS.keys()) + await update.message.reply_text( + f"❌ {str(e)}\n\nSupported chains are: {chains_list}\n" "Try asking about one of these chains!" + ) + except Exception as e: + logger.error(f"Error handling message: {str(e)}") + await update.message.reply_text( + "Sorry, I encountered an error while processing your request. " + "This might be due to API rate limits or temporary service issues. " + "Please try again in a moment." + ) + + async def _error_handler(self, update: Update, context: ContextTypes.DEFAULT_TYPE): + """Handle errors""" + logger.error(f"Update {update} caused error {context.error}") + if update and update.effective_chat: + await context.bot.send_message( + chat_id=update.effective_chat.id, + text="Sorry, something went wrong. Please try again later.", + ) + + def run(self): + """Start the bot""" + self.setup_handlers() + logger.info("Bot started successfully") + self.app.run_polling() diff --git a/agents/crypto_trader_bot/main.py b/agents/crypto_trader_bot/main.py new file mode 100644 index 0000000..7a7213e --- /dev/null +++ b/agents/crypto_trader_bot/main.py @@ -0,0 +1,64 @@ +import logging +import os +from enum import Enum + +from dotenv import load_dotenv + +from bitquery_service import BitQueryService +from dex_agent import DexAgent +from dex_rabbit_bot import DexRabbitBot + + +class LogLevel(str, Enum): + DEBUG = "DEBUG" + INFO = "INFO" + WARNING = "WARNING" + ERROR = "ERROR" + + +def setup_logging(): + """Configure logging based on environment variable""" + log_level = os.getenv("LOG_LEVEL", "INFO").upper() + if log_level not in LogLevel.__members__: + print(f"Invalid LOG_LEVEL: {log_level}. Defaulting to INFO") + log_level = "INFO" + + logging.basicConfig( + level=getattr(logging, log_level), + format="%(asctime)s - %(name)s - %(levelname)s - %(message)s", + ) + + +def main(): + # Load environment variables + load_dotenv() + + # Setup logging + setup_logging() + logger = logging.getLogger(__name__) + + try: + # Get required tokens + telegram_token = os.getenv("BOTFATHER_API_TOKEN") + bitquery_token = os.getenv("BITQUERY_OAUTH_TOKEN") + + if not telegram_token or not bitquery_token: + raise ValueError("Missing required environment variables. Check .env file.") + + # Initialize services + logger.info("Initializing services...") + bitquery_service = BitQueryService(bitquery_token) + agent = DexAgent(bitquery_service) + + # Create and run bot + logger.info("Starting DexRabbit Bot...") + bot = DexRabbitBot(telegram_token, agent) + bot.run() + + except Exception as e: + logger.error(f"Failed to start bot: {str(e)}") + raise + + +if __name__ == "__main__": + main() diff --git a/agents/crypto_trader_bot/poetry.lock b/agents/crypto_trader_bot/poetry.lock new file mode 100644 index 0000000..d5a012f --- /dev/null +++ b/agents/crypto_trader_bot/poetry.lock @@ -0,0 +1,6176 @@ +# This file is automatically @generated by Poetry 1.7.1 and should not be changed by hand. + +[[package]] +name = "aiobotocore" +version = "2.16.1" +description = "Async client for aws services using botocore and aiohttp" +optional = false +python-versions = ">=3.8" +files = [ + {file = "aiobotocore-2.16.1-py3-none-any.whl", hash = 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