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from langchain.tools import BaseTool
from pydantic import BaseModel, Field
from typing import Dict, Any, List, Optional
import json
import asyncio
from src.utils.logger import get_logger
logger = get_logger(__name__)
class ChartDataInput(BaseModel):
"""Input schema for chart data requests"""
chart_type: str = Field(description="Chart type: price_chart, market_overview, defi_tvl, portfolio_pie, gas_tracker")
symbol: Optional[str] = Field(default=None, description="Asset symbol (e.g., bitcoin, ethereum)")
timeframe: Optional[str] = Field(default="30d", description="Time range: 1d, 7d, 30d, 90d, 365d")
protocols: Optional[List[str]] = Field(default=None, description="DeFi protocol names")
network: Optional[str] = Field(default="ethereum", description="Blockchain network")
class ChartDataTool(BaseTool):
"""
Chart Data Provider Tool
This tool provides structured data that can be used to create charts.
Instead of returning HTML, it returns clean JSON data for visualization.
"""
name: str = "chart_data_provider"
description: str = """Provides structured data for creating cryptocurrency charts.
Returns JSON data in this format:
{{
"chart_type": "price_chart|market_overview|defi_tvl|portfolio_pie|gas_tracker",
"data": {{...}},
"config": {{...}}
}}
Chart types:
- price_chart: Bitcoin/crypto price and volume data
- market_overview: Top cryptocurrencies market data
- defi_tvl: DeFi protocol TVL comparison
- portfolio_pie: Portfolio allocation breakdown
- gas_tracker: Gas fees across networks
"""
args_schema: type[ChartDataInput] = ChartDataInput
def _run(self, chart_type: str, symbol: str = None, timeframe: str = "30d",
protocols: List[str] = None, network: str = "ethereum") -> str:
"""Synchronous execution"""
return asyncio.run(self._arun(chart_type, symbol, timeframe, protocols, network))
async def _arun(self, chart_type: str, symbol: str = None, timeframe: str = "30d",
protocols: List[str] = None, network: str = "ethereum") -> str:
"""Provide chart data based on request"""
try:
logger.info(f"Providing {chart_type} data for {symbol or 'general'}")
# Convert timeframe to days
days = self._parse_timeframe(timeframe)
if chart_type == "price_chart":
return await self._get_price_chart_data(symbol or "bitcoin", days)
elif chart_type == "market_overview":
return await self._get_market_overview_data()
elif chart_type == "defi_tvl":
return await self._get_defi_tvl_data(protocols or ["uniswap", "aave", "compound"])
elif chart_type == "portfolio_pie":
return await self._get_portfolio_data()
elif chart_type == "gas_tracker":
return await self._get_gas_data(network)
else:
return json.dumps({
"chart_type": "error",
"error": f"Unknown chart type: {chart_type}",
"available_types": ["price_chart", "market_overview", "defi_tvl", "portfolio_pie", "gas_tracker"]
})
except Exception as e:
logger.error(f"Chart data error: {e}")
return json.dumps({
"chart_type": "error",
"error": str(e),
"message": "Failed to generate chart data"
})
async def _get_price_chart_data(self, symbol: str, days: int) -> str:
"""Get real price chart data from CoinGecko API"""
try:
# Import the CoinGecko tool to get real data
from src.tools.coingecko_tool import CoinGeckoTool
coingecko = CoinGeckoTool()
# Map common symbols to CoinGecko IDs
symbol_map = {
"btc": "bitcoin", "bitcoin": "bitcoin",
"eth": "ethereum", "ethereum": "ethereum",
"sol": "solana", "solana": "solana",
"ada": "cardano", "cardano": "cardano",
"bnb": "binancecoin", "binance": "binancecoin",
"matic": "matic-network", "polygon": "matic-network",
"avax": "avalanche-2", "avalanche": "avalanche-2",
"dot": "polkadot", "polkadot": "polkadot",
"link": "chainlink", "chainlink": "chainlink",
"uni": "uniswap", "uniswap": "uniswap"
}
coin_id = symbol_map.get(symbol.lower(), symbol.lower())
# Get price history from CoinGecko
url = f"https://api.coingecko.com/api/v3/coins/{coin_id}/market_chart"
params = {"vs_currency": "usd", "days": days, "interval": "daily" if days > 90 else "hourly"}
data = await coingecko.make_request(url, params=params)
if not data or "prices" not in data:
# Fallback to mock data if API fails
logger.warning(f"CoinGecko API failed for {symbol}, using fallback data")
return await self._get_mock_price_data(symbol, days)
# Format the real data
price_data = data.get("prices", [])
volume_data = data.get("total_volumes", [])
# Get current coin info
coin_info = await coingecko.make_request(f"https://api.coingecko.com/api/v3/coins/{coin_id}")
coin_name = coin_info.get("name", symbol.title()) if coin_info else symbol.title()
return json.dumps({
"chart_type": "price_chart",
"data": {
"prices": price_data,
"total_volumes": volume_data,
"symbol": symbol.upper(),
"name": coin_name
},
"config": {
"title": f"{coin_name} Price Analysis ({days} days)",
"timeframe": f"{days}d",
"currency": "USD"
}
})
except Exception as e:
logger.error(f"Real price data failed: {e}")
return await self._get_mock_price_data(symbol, days)
async def _get_mock_price_data(self, symbol: str, days: int) -> str:
"""Fallback mock price data"""
import time
import random
base_price = 35000 if symbol.lower() == "bitcoin" else 1800 if symbol.lower() == "ethereum" else 100
base_timestamp = int(time.time() * 1000) - (days * 24 * 60 * 60 * 1000)
price_data = []
volume_data = []
for i in range(days):
timestamp = base_timestamp + (i * 24 * 60 * 60 * 1000)
price_change = random.uniform(-0.05, 0.05)
price = base_price * (1 + price_change * i / days)
price += random.uniform(-price*0.02, price*0.02)
volume = random.uniform(1000000000, 5000000000)
price_data.append([timestamp, round(price, 2)])
volume_data.append([timestamp, int(volume)])
return json.dumps({
"chart_type": "price_chart",
"data": {
"prices": price_data,
"total_volumes": volume_data,
"symbol": symbol.upper(),
"name": symbol.title()
},
"config": {
"title": f"{symbol.title()} Price Analysis ({days} days)",
"timeframe": f"{days}d",
"currency": "USD"
}
})
async def _get_market_overview_data(self) -> str:
"""Get real market overview data from CoinGecko API"""
try:
from src.tools.coingecko_tool import CoinGeckoTool
coingecko = CoinGeckoTool()
# Get top market cap coins
url = "https://api.coingecko.com/api/v3/coins/markets"
params = {
"vs_currency": "usd",
"order": "market_cap_desc",
"per_page": 10,
"page": 1,
"sparkline": False
}
data = await coingecko.make_request(url, params=params)
if not data:
logger.warning("CoinGecko market data failed, using fallback")
return await self._get_mock_market_data()
# Format real market data
coins = []
for coin in data[:10]:
coins.append({
"name": coin.get("name", "Unknown"),
"symbol": coin.get("symbol", "").upper(),
"current_price": coin.get("current_price", 0),
"market_cap_rank": coin.get("market_cap_rank", 0),
"price_change_percentage_24h": coin.get("price_change_percentage_24h", 0),
"market_cap": coin.get("market_cap", 0),
"total_volume": coin.get("total_volume", 0)
})
return json.dumps({
"chart_type": "market_overview",
"data": {"coins": coins},
"config": {
"title": "Top Cryptocurrencies Market Overview",
"currency": "USD"
}
})
except Exception as e:
logger.error(f"Market overview API failed: {e}")
return await self._get_mock_market_data()
async def _get_mock_market_data(self) -> str:
"""Fallback mock market data"""
return json.dumps({
"chart_type": "market_overview",
"data": {
"coins": [
{"name": "Bitcoin", "symbol": "BTC", "current_price": 35000, "market_cap_rank": 1, "price_change_percentage_24h": 2.5},
{"name": "Ethereum", "symbol": "ETH", "current_price": 1800, "market_cap_rank": 2, "price_change_percentage_24h": -1.2},
{"name": "Cardano", "symbol": "ADA", "current_price": 0.25, "market_cap_rank": 3, "price_change_percentage_24h": 3.1},
{"name": "Solana", "symbol": "SOL", "current_price": 22.5, "market_cap_rank": 4, "price_change_percentage_24h": -2.8},
{"name": "Polygon", "symbol": "MATIC", "current_price": 0.52, "market_cap_rank": 5, "price_change_percentage_24h": 1.9}
]
},
"config": {
"title": "Top Cryptocurrencies Market Overview",
"currency": "USD"
}
})
async def _get_defi_tvl_data(self, protocols: List[str]) -> str:
"""Get real DeFi TVL data from DeFiLlama API"""
try:
from src.tools.defillama_tool import DeFiLlamaTool
defillama = DeFiLlamaTool()
# Get protocols data
data = await defillama.make_request(f"{defillama._base_url}/protocols")
if not data:
logger.warning("DeFiLlama API failed, using fallback")
return await self._get_mock_defi_data(protocols)
# Filter for requested protocols or top protocols
if protocols:
filtered_protocols = []
for protocol_name in protocols:
for protocol in data:
if protocol_name.lower() in protocol.get("name", "").lower():
filtered_protocols.append(protocol)
break
protocols_data = filtered_protocols[:8] # Limit to 8
else:
# Get top protocols by TVL
protocols_data = sorted([p for p in data if p.get("tvl", 0) > 0],
key=lambda x: x.get("tvl", 0), reverse=True)[:8]
if not protocols_data:
return await self._get_mock_defi_data(protocols)
# Format TVL data
tvl_data = []
for protocol in protocols_data:
tvl_data.append({
"name": protocol.get("name", "Unknown"),
"tvl": protocol.get("tvl", 0),
"change_1d": protocol.get("change_1d", 0),
"chain": protocol.get("chain", "Multi-chain"),
"category": protocol.get("category", "DeFi")
})
return json.dumps({
"chart_type": "defi_tvl",
"data": {"protocols": tvl_data},
"config": {
"title": "DeFi Protocols by Total Value Locked",
"currency": "USD"
}
})
except Exception as e:
logger.error(f"DeFi TVL API failed: {e}")
return await self._get_mock_defi_data(protocols)
async def _get_mock_defi_data(self, protocols: List[str]) -> str:
"""Fallback mock DeFi data"""
import random
protocol_names = protocols or ["Uniswap", "Aave", "Compound", "Curve", "MakerDAO"]
tvl_data = []
for protocol in protocol_names[:5]:
tvl = random.uniform(500000000, 5000000000)
change = random.uniform(-10, 15)
tvl_data.append({
"name": protocol,
"tvl": tvl,
"change_1d": change,
"chain": "Ethereum",
"category": "DeFi"
})
return json.dumps({
"chart_type": "defi_tvl",
"data": {"protocols": tvl_data},
"config": {
"title": "DeFi Protocols by Total Value Locked",
"currency": "USD"
}
})
async def _get_portfolio_data(self) -> str:
"""Get portfolio allocation data"""
return json.dumps({
"chart_type": "portfolio_pie",
"data": {
"allocations": [
{"name": "Bitcoin", "symbol": "BTC", "value": 40, "color": "#f7931a"},
{"name": "Ethereum", "symbol": "ETH", "value": 30, "color": "#627eea"},
{"name": "Cardano", "symbol": "ADA", "value": 15, "color": "#0033ad"},
{"name": "Solana", "symbol": "SOL", "value": 10, "color": "#9945ff"},
{"name": "Other", "symbol": "OTHER", "value": 5, "color": "#666666"}
]
},
"config": {
"title": "Sample Portfolio Allocation",
"currency": "Percentage"
}
})
async def _get_gas_data(self, network: str) -> str:
"""Get gas fee data"""
import random
import time
# Generate 24 hours of gas data
gas_data = []
base_timestamp = int(time.time() * 1000) - (24 * 60 * 60 * 1000)
for i in range(24):
timestamp = base_timestamp + (i * 60 * 60 * 1000)
gas_price = random.uniform(20, 100) if network == "ethereum" else random.uniform(1, 10)
gas_data.append([timestamp, round(gas_price, 2)])
return json.dumps({
"chart_type": "gas_tracker",
"data": {
"gas_prices": gas_data,
"network": network.title()
},
"config": {
"title": f"{network.title()} Gas Fee Tracker (24h)",
"unit": "Gwei"
}
})
def _parse_timeframe(self, timeframe: str) -> int:
"""Convert timeframe string to days"""
timeframe_map = {
"1d": 1, "7d": 7, "30d": 30, "90d": 90, "365d": 365, "1y": 365
}
return timeframe_map.get(timeframe, 30)
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