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| from abc import ABC, abstractmethod | |
| from typing import Dict, Any, Optional | |
| from langchain.tools import BaseTool | |
| from pydantic import BaseModel, Field, PrivateAttr | |
| import asyncio | |
| import aiohttp | |
| import hashlib | |
| import json | |
| from tenacity import retry, stop_after_attempt, wait_exponential | |
| from src.utils.logger import get_logger | |
| from src.utils.cache_manager import cache_manager | |
| logger = get_logger(__name__) | |
| class Web3ToolInput(BaseModel): | |
| query: str = Field(description="Search query or parameter") | |
| filters: Optional[Dict[str, Any]] = Field(default=None, description="Additional filters") | |
| class BaseWeb3Tool(BaseTool, ABC): | |
| name: str = "base_web3_tool" | |
| description: str = "Base Web3 tool" | |
| args_schema: type[BaseModel] = Web3ToolInput | |
| _session: Optional[aiohttp.ClientSession] = PrivateAttr(default=None) | |
| def __init__(self, **kwargs): | |
| super().__init__(**kwargs) | |
| self._session = None | |
| async def get_session(self): | |
| if not self._session: | |
| timeout = aiohttp.ClientTimeout(total=30) | |
| self._session = aiohttp.ClientSession(timeout=timeout) | |
| return self._session | |
| async def make_request(self, url: str, params: Dict[str, Any] = None) -> Dict[str, Any]: | |
| # Create cache key | |
| cache_key = self._create_cache_key(url, params or {}) | |
| # Check cache first | |
| cached_result = cache_manager.get(cache_key) | |
| if cached_result is not None: | |
| logger.debug(f"Cache hit for {url}") | |
| return cached_result | |
| logger.debug(f"Cache miss for {url}") | |
| session = await self.get_session() | |
| try: | |
| async with session.get(url, params=params or {}) as response: | |
| if response.status == 200: | |
| result = await response.json() | |
| # Cache successful responses for 5 minutes | |
| cache_manager.set(cache_key, result, ttl=300) | |
| return result | |
| elif response.status == 429: | |
| await asyncio.sleep(2) | |
| raise aiohttp.ClientResponseError( | |
| request_info=response.request_info, | |
| history=response.history, | |
| status=response.status | |
| ) | |
| else: | |
| response.raise_for_status() | |
| except Exception as e: | |
| logger.error(f"Request failed: {e}") | |
| raise | |
| def _create_cache_key(self, url: str, params: Dict[str, Any]) -> str: | |
| """Create a unique cache key from URL and parameters""" | |
| key_data = f"{url}:{json.dumps(params, sort_keys=True)}" | |
| return hashlib.md5(key_data.encode()).hexdigest()[:16] | |
| def _run(self, query: str, filters: Optional[Dict[str, Any]] = None) -> str: | |
| return asyncio.run(self._arun(query, filters)) | |
| def run(self, tool_input: Dict[str, Any]) -> str: | |
| """Handle both direct calls and LangChain tool calling format""" | |
| if isinstance(tool_input, dict): | |
| query = tool_input.get('query', '') | |
| filters = tool_input.get('filters') | |
| else: | |
| # Fallback for string input | |
| query = str(tool_input) | |
| filters = None | |
| return self._run(query, filters) | |
| async def arun(self, tool_input: Dict[str, Any]) -> str: | |
| """Async version of run method""" | |
| if isinstance(tool_input, dict): | |
| query = tool_input.get('query', '') | |
| filters = tool_input.get('filters') | |
| else: | |
| # Fallback for string input | |
| query = str(tool_input) | |
| filters = None | |
| return await self._arun(query, filters) | |
| async def _arun(self, query: str, filters: Optional[Dict[str, Any]] = None) -> str: | |
| pass | |
| async def cleanup(self): | |
| if self._session: | |
| await self._session.close() | |
| self._session = None | |