feat: implement v0.2.0 release features - agent-first evolution
✅ v0.2 Release Preparation: - Update version to 0.2.0 in pyproject.toml - Create release build script for CLI binaries - Generate comprehensive release notes ✅ OpenClaw DAO Governance: - Implement complete on-chain voting system - Create DAO smart contract with Governor framework - Add comprehensive CLI commands for DAO operations - Support for multiple proposal types and voting mechanisms ✅ GPU Acceleration CI: - Complete GPU benchmark CI workflow - Comprehensive performance testing suite - Automated benchmark reports and comparison - GPU optimization monitoring and alerts ✅ Agent SDK Documentation: - Complete SDK documentation with examples - Computing agent and oracle agent examples - Comprehensive API reference and guides - Security best practices and deployment guides ✅ Production Security Audit: - Comprehensive security audit framework - Detailed security assessment (72.5/100 score) - Critical issues identification and remediation - Security roadmap and improvement plan ✅ Mobile Wallet & One-Click Miner: - Complete mobile wallet architecture design - One-click miner implementation plan - Cross-platform integration strategy - Security and user experience considerations ✅ Documentation Updates: - Add roadmap badge to README - Update project status and achievements - Comprehensive feature documentation - Production readiness indicators 🚀 Ready for v0.2.0 release with agent-first architecture
This commit is contained in:
AITBC System
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docs/agent-sdk/README.md
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496
docs/agent-sdk/README.md
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# AITBC Agent SDK Documentation
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## 🤖 Overview
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The AITBC Agent SDK provides a comprehensive toolkit for developing AI agents that interact with the AITBC blockchain network. Agents can participate in decentralized computing, manage resources, and execute smart contracts autonomously.
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## 🚀 Quick Start
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### Installation
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```bash
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pip install aitbc-agent-sdk
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```
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### Basic Agent Example
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```python
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from aitbc_agent_sdk import Agent, AgentConfig
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from aitbc_agent_sdk.blockchain import BlockchainClient
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from aitbc_agent_sdk.ai import AIModel
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# Configure agent
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config = AgentConfig(
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name="my-agent",
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blockchain_network="mainnet",
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ai_model="gpt-4",
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wallet_private_key="your-private-key"
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)
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# Create agent
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agent = Agent(config)
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# Start agent
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agent.start()
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# Execute tasks
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result = agent.execute_task("compute", {"data": [1, 2, 3, 4, 5]})
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print(f"Result: {result}")
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```
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## 📚 Core Components
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### 1. Agent Class
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The main `Agent` class provides the core functionality for creating and managing AI agents.
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```python
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class Agent:
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def __init__(self, config: AgentConfig)
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def start(self) -> None
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def stop(self) -> None
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def execute_task(self, task_type: str, params: Dict) -> Any
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def register_with_network(self) -> str
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def get_balance(self) -> float
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def send_transaction(self, to: str, amount: float) -> str
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```
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### 2. Blockchain Integration
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Seamless integration with the AITBC blockchain for resource management and transactions.
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```python
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from aitbc_agent_sdk.blockchain import BlockchainClient
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client = BlockchainClient(network="mainnet")
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# Get agent info
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agent_info = client.get_agent_info(agent_address)
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print(f"Agent reputation: {agent_info.reputation}")
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# Submit computation task
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task_id = client.submit_computation_task(
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algorithm="neural_network",
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data_hash="QmHash...",
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reward=10.0
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)
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# Check task status
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status = client.get_task_status(task_id)
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```
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### 3. AI Model Integration
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Built-in support for various AI models and frameworks.
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```python
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from aitbc_agent_sdk.ai import AIModel, ModelConfig
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# Configure AI model
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model_config = ModelConfig(
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model_type="transformer",
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framework="pytorch",
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device="cuda"
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)
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# Load model
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model = AIModel(config=model_config)
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# Execute inference
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result = model.predict(input_data)
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```
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## 🔧 Configuration
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### Agent Configuration
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```python
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from aitbc_agent_sdk import AgentConfig
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config = AgentConfig(
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# Basic settings
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name="my-agent",
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version="1.0.0",
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# Blockchain settings
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blockchain_network="mainnet",
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rpc_url="https://rpc.aitbc.net",
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wallet_private_key="0x...",
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# AI settings
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ai_model="gpt-4",
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ai_provider="openai",
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max_tokens=1000,
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# Resource settings
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max_cpu_cores=4,
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max_memory_gb=8,
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max_gpu_count=1,
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# Network settings
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peer_discovery=True,
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heartbeat_interval=30,
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# Security settings
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encryption_enabled=True,
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authentication_required=True
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)
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```
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### Environment Variables
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```bash
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# Blockchain configuration
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AITBC_NETWORK=mainnet
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AITBC_RPC_URL=https://rpc.aitbc.net
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AITBC_PRIVATE_KEY=0x...
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# AI configuration
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AITBC_AI_MODEL=gpt-4
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AITBC_AI_PROVIDER=openai
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AITBC_API_KEY=sk-...
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# Agent configuration
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AITBC_AGENT_NAME=my-agent
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AITBC_MAX_CPU=4
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AITBC_MAX_MEMORY=8
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AITBC_MAX_GPU=1
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```
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## 🎯 Use Cases
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### 1. Computing Agent
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Agents that provide computational resources to the network.
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```python
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from aitbc_agent_sdk import Agent, AgentConfig
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from aitbc_agent_sdk.computing import ComputingTask
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class ComputingAgent(Agent):
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def __init__(self, config):
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super().__init__(config)
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self.computing_engine = ComputingEngine(config)
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def handle_computation_request(self, task):
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"""Handle incoming computation requests"""
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result = self.computing_engine.execute(task)
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return result
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def register_computing_services(self):
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"""Register available computing services"""
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services = [
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{"type": "neural_network", "price": 0.1},
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{"type": "data_processing", "price": 0.05},
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{"type": "encryption", "price": 0.02}
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]
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for service in services:
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self.register_service(service)
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# Usage
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config = AgentConfig(name="computing-agent")
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agent = ComputingAgent(config)
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agent.start()
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```
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### 2. Data Processing Agent
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Agents that specialize in data processing and analysis.
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```python
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from aitbc_agent_sdk import Agent
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from aitbc_agent_sdk.data import DataProcessor
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class DataAgent(Agent):
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def __init__(self, config):
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super().__init__(config)
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self.processor = DataProcessor(config)
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def process_dataset(self, dataset_hash):
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"""Process a dataset and return results"""
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data = self.load_dataset(dataset_hash)
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results = self.processor.analyze(data)
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return results
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def train_model(self, training_data):
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"""Train AI model on provided data"""
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model = self.processor.train(training_data)
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return model.save()
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# Usage
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agent = DataAgent(config)
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agent.start()
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```
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### 3. Oracle Agent
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Agents that provide external data to the blockchain.
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```python
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from aitbc_agent_sdk import Agent
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from aitbc_agent_sdk.oracle import OracleProvider
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class OracleAgent(Agent):
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def __init__(self, config):
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super().__init__(config)
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self.oracle = OracleProvider(config)
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def get_price_data(self, symbol):
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"""Get real-time price data"""
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return self.oracle.get_price(symbol)
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def get_weather_data(self, location):
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"""Get weather information"""
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return self.oracle.get_weather(location)
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def submit_oracle_data(self, data_type, value):
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"""Submit data to blockchain oracle"""
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return self.blockchain_client.submit_oracle_data(data_type, value)
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# Usage
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agent = OracleAgent(config)
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agent.start()
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```
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## 🔐 Security
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### Private Key Management
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```python
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from aitbc_agent_sdk.security import KeyManager
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# Secure key management
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key_manager = KeyManager()
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key_manager.load_from_encrypted_file("keys.enc", "password")
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# Use in agent
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config = AgentConfig(
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wallet_private_key=key_manager.get_private_key()
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)
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```
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### Authentication
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```python
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from aitbc_agent_sdk.auth import Authenticator
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auth = Authenticator(config)
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# Generate authentication token
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token = auth.generate_token(agent_id, expires_in=3600)
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# Verify token
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is_valid = auth.verify_token(token, agent_id)
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```
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### Encryption
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```python
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from aitbc_agent_sdk.crypto import Encryption
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# Encrypt sensitive data
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encryption = Encryption()
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encrypted_data = encryption.encrypt(data, public_key)
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# Decrypt data
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decrypted_data = encryption.decrypt(encrypted_data, private_key)
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```
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## 📊 Monitoring and Analytics
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### Performance Monitoring
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```python
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from aitbc_agent_sdk.monitoring import PerformanceMonitor
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monitor = PerformanceMonitor(agent)
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# Start monitoring
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monitor.start()
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# Get performance metrics
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metrics = monitor.get_metrics()
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print(f"CPU usage: {metrics.cpu_usage}%")
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print(f"Memory usage: {metrics.memory_usage}%")
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print(f"Tasks completed: {metrics.tasks_completed}")
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```
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### Logging
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```python
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import logging
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from aitbc_agent_sdk.logging import AgentLogger
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# Setup agent logging
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logger = AgentLogger("my-agent")
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logger.setLevel(logging.INFO)
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# Log events
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logger.info("Agent started successfully")
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logger.warning("High memory usage detected")
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logger.error("Task execution failed", exc_info=True)
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```
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## 🧪 Testing
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### Unit Tests
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```python
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import unittest
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from aitbc_agent_sdk import Agent, AgentConfig
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class TestAgent(unittest.TestCase):
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def setUp(self):
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self.config = AgentConfig(
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name="test-agent",
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blockchain_network="testnet"
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)
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self.agent = Agent(self.config)
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def test_agent_initialization(self):
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self.assertIsNotNone(self.agent)
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self.assertEqual(self.agent.name, "test-agent")
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def test_task_execution(self):
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result = self.agent.execute_task("test", {})
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self.assertIsNotNone(result)
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if __name__ == "__main__":
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unittest.main()
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```
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### Integration Tests
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```python
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import pytest
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from aitbc_agent_sdk import Agent, AgentConfig
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@pytest.mark.integration
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def test_blockchain_integration():
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config = AgentConfig(blockchain_network="testnet")
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agent = Agent(config)
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# Test blockchain connection
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balance = agent.get_balance()
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assert isinstance(balance, float)
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# Test transaction
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tx_hash = agent.send_transaction(
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to="0x123...",
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amount=0.1
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)
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assert len(tx_hash) == 66 # Ethereum transaction hash length
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```
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## 🚀 Deployment
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### Docker Deployment
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```dockerfile
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FROM python:3.13-slim
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WORKDIR /app
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COPY requirements.txt .
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RUN pip install -r requirements.txt
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COPY . .
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# Create non-root user
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RUN useradd -m -u 1000 agent
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USER agent
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# Start agent
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CMD ["python", "agent.py"]
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```
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### Kubernetes Deployment
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```yaml
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apiVersion: apps/v1
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kind: Deployment
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metadata:
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name: aitbc-agent
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spec:
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replicas: 3
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selector:
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matchLabels:
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app: aitbc-agent
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template:
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metadata:
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labels:
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app: aitbc-agent
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spec:
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containers:
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- name: agent
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image: aitbc/agent:latest
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env:
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- name: AITBC_NETWORK
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value: "mainnet"
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- name: AITBC_PRIVATE_KEY
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valueFrom:
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secretKeyRef:
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name: agent-secrets
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key: private-key
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resources:
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requests:
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cpu: 100m
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memory: 128Mi
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limits:
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cpu: 500m
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memory: 512Mi
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```
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## 📚 API Reference
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### Agent Methods
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| Method | Description | Parameters | Returns |
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|--------|-------------|------------|---------|
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| `start()` | Start the agent | None | None |
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| `stop()` | Stop the agent | None | None |
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| `execute_task()` | Execute a task | task_type, params | Any |
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| `get_balance()` | Get wallet balance | None | float |
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| `send_transaction()` | Send transaction | to, amount | str |
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### Blockchain Client Methods
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| Method | Description | Parameters | Returns |
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|--------|-------------|------------|---------|
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| `get_agent_info()` | Get agent information | agent_address | AgentInfo |
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| `submit_computation_task()` | Submit task | algorithm, data_hash, reward | str |
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| `get_task_status()` | Get task status | task_id | TaskStatus |
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## 🤝 Contributing
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We welcome contributions to the AITBC Agent SDK! Please see our [Contributing Guide](CONTRIBUTING.md) for details.
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### Development Setup
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```bash
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# Clone repository
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git clone https://github.com/oib/AITBC-agent-sdk.git
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cd AITBC-agent-sdk
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# Install development dependencies
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pip install -e ".[dev]"
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# Run tests
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pytest
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# Run linting
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black .
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isort .
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```
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## 📄 License
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This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.
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## 🆘 Support
|
||||
|
||||
- **Documentation**: [https://docs.aitbc.net/agent-sdk](https://docs.aitbc.net/agent-sdk)
|
||||
- **Issues**: [GitHub Issues](https://github.com/oib/AITBC-agent-sdk/issues)
|
||||
- **Discord**: [AITBC Community](https://discord.gg/aitbc)
|
||||
- **Email**: support@aitbc.net
|
||||
304
docs/agent-sdk/examples/computing_agent.py
Normal file
304
docs/agent-sdk/examples/computing_agent.py
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@@ -0,0 +1,304 @@
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#!/usr/bin/env python3
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"""
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AITBC Agent SDK Example: Computing Agent
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Demonstrates how to create an agent that provides computing services
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||||
"""
|
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|
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import asyncio
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import logging
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from typing import Dict, Any, List
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from aitbc_agent_sdk import Agent, AgentConfig
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from aitbc_agent_sdk.blockchain import BlockchainClient
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from aitbc_agent_sdk.ai import AIModel
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from aitbc_agent_sdk.computing import ComputingEngine
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# Setup logging
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logging.basicConfig(level=logging.INFO)
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logger = logging.getLogger(__name__)
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class ComputingAgentExample:
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"""Example computing agent implementation"""
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def __init__(self):
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# Configure agent
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self.config = AgentConfig(
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name="computing-agent-example",
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blockchain_network="testnet",
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rpc_url="https://testnet-rpc.aitbc.net",
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ai_model="gpt-3.5-turbo",
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max_cpu_cores=4,
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max_memory_gb=8,
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||||
max_gpu_count=1
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||||
)
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# Initialize components
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self.agent = Agent(self.config)
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self.blockchain_client = BlockchainClient(self.config)
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self.computing_engine = ComputingEngine(self.config)
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self.ai_model = AIModel(self.config)
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# Agent state
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||||
self.is_running = False
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||||
self.active_tasks = {}
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||||
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||||
async def start(self):
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||||
"""Start the computing agent"""
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||||
logger.info("Starting computing agent...")
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||||
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||||
# Register with network
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||||
agent_address = await self.agent.register_with_network()
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||||
logger.info(f"Agent registered at address: {agent_address}")
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||||
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||||
# Register computing services
|
||||
await self.register_computing_services()
|
||||
|
||||
# Start task processing loop
|
||||
self.is_running = True
|
||||
asyncio.create_task(self.task_processing_loop())
|
||||
|
||||
logger.info("Computing agent started successfully!")
|
||||
|
||||
async def stop(self):
|
||||
"""Stop the computing agent"""
|
||||
logger.info("Stopping computing agent...")
|
||||
self.is_running = False
|
||||
await self.agent.stop()
|
||||
logger.info("Computing agent stopped")
|
||||
|
||||
async def register_computing_services(self):
|
||||
"""Register available computing services with the network"""
|
||||
services = [
|
||||
{
|
||||
"type": "neural_network_inference",
|
||||
"description": "Neural network inference with GPU acceleration",
|
||||
"price_per_hour": 0.1,
|
||||
"requirements": {"gpu": True, "memory_gb": 4}
|
||||
},
|
||||
{
|
||||
"type": "data_processing",
|
||||
"description": "Large-scale data processing and analysis",
|
||||
"price_per_hour": 0.05,
|
||||
"requirements": {"cpu_cores": 2, "memory_gb": 8}
|
||||
},
|
||||
{
|
||||
"type": "encryption_services",
|
||||
"description": "Cryptographic operations and data encryption",
|
||||
"price_per_hour": 0.02,
|
||||
"requirements": {"cpu_cores": 1}
|
||||
}
|
||||
]
|
||||
|
||||
for service in services:
|
||||
service_id = await self.blockchain_client.register_service(service)
|
||||
logger.info(f"Registered service: {service['type']} (ID: {service_id})")
|
||||
|
||||
async def task_processing_loop(self):
|
||||
"""Main loop for processing incoming tasks"""
|
||||
while self.is_running:
|
||||
try:
|
||||
# Check for new tasks
|
||||
tasks = await self.blockchain_client.get_available_tasks()
|
||||
|
||||
for task in tasks:
|
||||
if task.id not in self.active_tasks:
|
||||
asyncio.create_task(self.process_task(task))
|
||||
|
||||
# Process active tasks
|
||||
await self.update_active_tasks()
|
||||
|
||||
# Sleep before next iteration
|
||||
await asyncio.sleep(5)
|
||||
|
||||
except Exception as e:
|
||||
logger.error(f"Error in task processing loop: {e}")
|
||||
await asyncio.sleep(10)
|
||||
|
||||
async def process_task(self, task):
|
||||
"""Process a single computing task"""
|
||||
logger.info(f"Processing task {task.id}: {task.type}")
|
||||
|
||||
try:
|
||||
# Add to active tasks
|
||||
self.active_tasks[task.id] = {
|
||||
"status": "processing",
|
||||
"start_time": asyncio.get_event_loop().time(),
|
||||
"task": task
|
||||
}
|
||||
|
||||
# Execute task based on type
|
||||
if task.type == "neural_network_inference":
|
||||
result = await self.process_neural_network_task(task)
|
||||
elif task.type == "data_processing":
|
||||
result = await self.process_data_task(task)
|
||||
elif task.type == "encryption_services":
|
||||
result = await self.process_encryption_task(task)
|
||||
else:
|
||||
raise ValueError(f"Unknown task type: {task.type}")
|
||||
|
||||
# Submit result to blockchain
|
||||
await self.blockchain_client.submit_task_result(task.id, result)
|
||||
|
||||
# Update task status
|
||||
self.active_tasks[task.id]["status"] = "completed"
|
||||
self.active_tasks[task.id]["result"] = result
|
||||
|
||||
logger.info(f"Task {task.id} completed successfully")
|
||||
|
||||
except Exception as e:
|
||||
logger.error(f"Error processing task {task.id}: {e}")
|
||||
|
||||
# Submit error result
|
||||
await self.blockchain_client.submit_task_result(
|
||||
task.id,
|
||||
{"error": str(e), "status": "failed"}
|
||||
)
|
||||
|
||||
# Update task status
|
||||
self.active_tasks[task.id]["status"] = "failed"
|
||||
self.active_tasks[task.id]["error"] = str(e)
|
||||
|
||||
async def process_neural_network_task(self, task) -> Dict[str, Any]:
|
||||
"""Process neural network inference task"""
|
||||
logger.info("Executing neural network inference...")
|
||||
|
||||
# Load model from task data
|
||||
model_data = await self.blockchain_client.get_data(task.data_hash)
|
||||
model = self.ai_model.load_model(model_data)
|
||||
|
||||
# Load input data
|
||||
input_data = await self.blockchain_client.get_data(task.input_data_hash)
|
||||
|
||||
# Execute inference
|
||||
start_time = asyncio.get_event_loop().time()
|
||||
predictions = model.predict(input_data)
|
||||
execution_time = asyncio.get_event_loop().time() - start_time
|
||||
|
||||
# Prepare result
|
||||
result = {
|
||||
"predictions": predictions.tolist(),
|
||||
"execution_time": execution_time,
|
||||
"model_info": {
|
||||
"type": model.model_type,
|
||||
"parameters": model.parameter_count
|
||||
},
|
||||
"agent_info": {
|
||||
"name": self.config.name,
|
||||
"address": self.agent.address
|
||||
}
|
||||
}
|
||||
|
||||
return result
|
||||
|
||||
async def process_data_task(self, task) -> Dict[str, Any]:
|
||||
"""Process data analysis task"""
|
||||
logger.info("Executing data processing...")
|
||||
|
||||
# Load data
|
||||
data = await self.blockchain_client.get_data(task.data_hash)
|
||||
|
||||
# Process data based on task parameters
|
||||
processing_type = task.parameters.get("processing_type", "basic_analysis")
|
||||
|
||||
if processing_type == "basic_analysis":
|
||||
result = self.computing_engine.basic_analysis(data)
|
||||
elif processing_type == "statistical_analysis":
|
||||
result = self.computing_engine.statistical_analysis(data)
|
||||
elif processing_type == "machine_learning":
|
||||
result = await self.computing_engine.machine_learning_analysis(data)
|
||||
else:
|
||||
raise ValueError(f"Unknown processing type: {processing_type}")
|
||||
|
||||
# Add metadata
|
||||
result["metadata"] = {
|
||||
"data_size": len(data),
|
||||
"processing_time": result.get("execution_time", 0),
|
||||
"agent_address": self.agent.address
|
||||
}
|
||||
|
||||
return result
|
||||
|
||||
async def process_encryption_task(self, task) -> Dict[str, Any]:
|
||||
"""Process encryption/decryption task"""
|
||||
logger.info("Executing encryption operations...")
|
||||
|
||||
# Get operation type
|
||||
operation = task.parameters.get("operation", "encrypt")
|
||||
data = await self.blockchain_client.get_data(task.data_hash)
|
||||
|
||||
if operation == "encrypt":
|
||||
result = self.computing_engine.encrypt_data(data, task.parameters)
|
||||
elif operation == "decrypt":
|
||||
result = self.computing_engine.decrypt_data(data, task.parameters)
|
||||
elif operation == "hash":
|
||||
result = self.computing_engine.hash_data(data, task.parameters)
|
||||
else:
|
||||
raise ValueError(f"Unknown operation: {operation}")
|
||||
|
||||
# Add metadata
|
||||
result["metadata"] = {
|
||||
"operation": operation,
|
||||
"data_size": len(data),
|
||||
"agent_address": self.agent.address
|
||||
}
|
||||
|
||||
return result
|
||||
|
||||
async def update_active_tasks(self):
|
||||
"""Update status of active tasks"""
|
||||
current_time = asyncio.get_event_loop().time()
|
||||
|
||||
for task_id, task_info in list(self.active_tasks.items()):
|
||||
# Check for timeout (30 minutes)
|
||||
if current_time - task_info["start_time"] > 1800:
|
||||
logger.warning(f"Task {task_id} timed out")
|
||||
await self.blockchain_client.submit_task_result(
|
||||
task_id,
|
||||
{"error": "Task timeout", "status": "failed"}
|
||||
)
|
||||
del self.active_tasks[task_id]
|
||||
|
||||
async def get_agent_status(self) -> Dict[str, Any]:
|
||||
"""Get current agent status"""
|
||||
balance = await self.agent.get_balance()
|
||||
|
||||
return {
|
||||
"name": self.config.name,
|
||||
"address": self.agent.address,
|
||||
"is_running": self.is_running,
|
||||
"balance": balance,
|
||||
"active_tasks": len(self.active_tasks),
|
||||
"completed_tasks": len([
|
||||
t for t in self.active_tasks.values()
|
||||
if t["status"] == "completed"
|
||||
]),
|
||||
"failed_tasks": len([
|
||||
t for t in self.active_tasks.values()
|
||||
if t["status"] == "failed"
|
||||
])
|
||||
}
|
||||
|
||||
async def main():
|
||||
"""Main function to run the computing agent example"""
|
||||
# Create agent
|
||||
agent = ComputingAgentExample()
|
||||
|
||||
try:
|
||||
# Start agent
|
||||
await agent.start()
|
||||
|
||||
# Keep running
|
||||
while True:
|
||||
# Print status every 30 seconds
|
||||
status = await agent.get_agent_status()
|
||||
logger.info(f"Agent status: {status}")
|
||||
await asyncio.sleep(30)
|
||||
|
||||
except KeyboardInterrupt:
|
||||
logger.info("Shutting down agent...")
|
||||
await agent.stop()
|
||||
except Exception as e:
|
||||
logger.error(f"Agent error: {e}")
|
||||
await agent.stop()
|
||||
|
||||
if __name__ == "__main__":
|
||||
asyncio.run(main())
|
||||
314
docs/agent-sdk/examples/oracle_agent.py
Normal file
314
docs/agent-sdk/examples/oracle_agent.py
Normal file
@@ -0,0 +1,314 @@
|
||||
#!/usr/bin/env python3
|
||||
"""
|
||||
AITBC Agent SDK Example: Oracle Agent
|
||||
Demonstrates how to create an agent that provides external data to the blockchain
|
||||
"""
|
||||
|
||||
import asyncio
|
||||
import logging
|
||||
import requests
|
||||
from typing import Dict, Any, List
|
||||
from datetime import datetime
|
||||
from aitbc_agent_sdk import Agent, AgentConfig
|
||||
from aitbc_agent_sdk.blockchain import BlockchainClient
|
||||
from aitbc_agent_sdk.oracle import OracleProvider
|
||||
|
||||
# Setup logging
|
||||
logging.basicConfig(level=logging.INFO)
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
class OracleAgentExample:
|
||||
"""Example oracle agent implementation"""
|
||||
|
||||
def __init__(self):
|
||||
# Configure agent
|
||||
self.config = AgentConfig(
|
||||
name="oracle-agent-example",
|
||||
blockchain_network="testnet",
|
||||
rpc_url="https://testnet-rpc.aitbc.net",
|
||||
max_cpu_cores=2,
|
||||
max_memory_gb=4
|
||||
)
|
||||
|
||||
# Initialize components
|
||||
self.agent = Agent(self.config)
|
||||
self.blockchain_client = BlockchainClient(self.config)
|
||||
self.oracle_provider = OracleProvider(self.config)
|
||||
|
||||
# Agent state
|
||||
self.is_running = False
|
||||
self.data_sources = {
|
||||
"price": self.get_price_data,
|
||||
"weather": self.get_weather_data,
|
||||
"sports": self.get_sports_data,
|
||||
"news": self.get_news_data
|
||||
}
|
||||
|
||||
async def start(self):
|
||||
"""Start the oracle agent"""
|
||||
logger.info("Starting oracle agent...")
|
||||
|
||||
# Register with network
|
||||
agent_address = await self.agent.register_with_network()
|
||||
logger.info(f"Agent registered at address: {agent_address}")
|
||||
|
||||
# Register oracle services
|
||||
await self.register_oracle_services()
|
||||
|
||||
# Start data collection loop
|
||||
self.is_running = True
|
||||
asyncio.create_task(self.data_collection_loop())
|
||||
|
||||
logger.info("Oracle agent started successfully!")
|
||||
|
||||
async def stop(self):
|
||||
"""Stop the oracle agent"""
|
||||
logger.info("Stopping oracle agent...")
|
||||
self.is_running = False
|
||||
await self.agent.stop()
|
||||
logger.info("Oracle agent stopped")
|
||||
|
||||
async def register_oracle_services(self):
|
||||
"""Register oracle data services with the network"""
|
||||
services = [
|
||||
{
|
||||
"type": "price_oracle",
|
||||
"description": "Real-time cryptocurrency and stock prices",
|
||||
"update_interval": 60, # seconds
|
||||
"data_types": ["BTC", "ETH", "AAPL", "GOOGL"]
|
||||
},
|
||||
{
|
||||
"type": "weather_oracle",
|
||||
"description": "Weather data from major cities",
|
||||
"update_interval": 300, # seconds
|
||||
"data_types": ["temperature", "humidity", "pressure"]
|
||||
},
|
||||
{
|
||||
"type": "sports_oracle",
|
||||
"description": "Sports scores and match results",
|
||||
"update_interval": 600, # seconds
|
||||
"data_types": ["scores", "standings", "statistics"]
|
||||
}
|
||||
]
|
||||
|
||||
for service in services:
|
||||
service_id = await self.blockchain_client.register_oracle_service(service)
|
||||
logger.info(f"Registered oracle service: {service['type']} (ID: {service_id})")
|
||||
|
||||
async def data_collection_loop(self):
|
||||
"""Main loop for collecting and submitting oracle data"""
|
||||
while self.is_running:
|
||||
try:
|
||||
# Collect data from all sources
|
||||
for data_type, data_func in self.data_sources.items():
|
||||
try:
|
||||
data = await data_func()
|
||||
await self.submit_oracle_data(data_type, data)
|
||||
except Exception as e:
|
||||
logger.error(f"Error collecting {data_type} data: {e}")
|
||||
|
||||
# Sleep before next collection
|
||||
await asyncio.sleep(60)
|
||||
|
||||
except Exception as e:
|
||||
logger.error(f"Error in data collection loop: {e}")
|
||||
await asyncio.sleep(30)
|
||||
|
||||
async def submit_oracle_data(self, data_type: str, data: Dict[str, Any]):
|
||||
"""Submit oracle data to blockchain"""
|
||||
try:
|
||||
# Prepare oracle data package
|
||||
oracle_data = {
|
||||
"data_type": data_type,
|
||||
"timestamp": datetime.utcnow().isoformat(),
|
||||
"data": data,
|
||||
"agent_address": self.agent.address,
|
||||
"signature": await self.oracle_provider.sign_data(data)
|
||||
}
|
||||
|
||||
# Submit to blockchain
|
||||
tx_hash = await self.blockchain_client.submit_oracle_data(oracle_data)
|
||||
logger.info(f"Submitted {data_type} data: {tx_hash}")
|
||||
|
||||
except Exception as e:
|
||||
logger.error(f"Error submitting {data_type} data: {e}")
|
||||
|
||||
async def get_price_data(self) -> Dict[str, Any]:
|
||||
"""Get real-time price data from external APIs"""
|
||||
logger.info("Collecting price data...")
|
||||
|
||||
prices = {}
|
||||
|
||||
# Get cryptocurrency prices (using CoinGecko API)
|
||||
try:
|
||||
crypto_response = requests.get(
|
||||
"https://api.coingecko.com/api/v1/simple/price",
|
||||
params={
|
||||
"ids": "bitcoin,ethereum",
|
||||
"vs_currencies": "usd",
|
||||
"include_24hr_change": "true"
|
||||
},
|
||||
timeout=10
|
||||
)
|
||||
|
||||
if crypto_response.status_code == 200:
|
||||
crypto_data = crypto_response.json()
|
||||
prices["cryptocurrency"] = {
|
||||
"BTC": {
|
||||
"price": crypto_data["bitcoin"]["usd"],
|
||||
"change_24h": crypto_data["bitcoin"]["usd_24h_change"]
|
||||
},
|
||||
"ETH": {
|
||||
"price": crypto_data["ethereum"]["usd"],
|
||||
"change_24h": crypto_data["ethereum"]["usd_24h_change"]
|
||||
}
|
||||
}
|
||||
except Exception as e:
|
||||
logger.error(f"Error getting crypto prices: {e}")
|
||||
|
||||
# Get stock prices (using Alpha Vantage API - would need API key)
|
||||
try:
|
||||
# This is a mock implementation
|
||||
prices["stocks"] = {
|
||||
"AAPL": {"price": 150.25, "change": "+2.50"},
|
||||
"GOOGL": {"price": 2800.75, "change": "-15.25"}
|
||||
}
|
||||
except Exception as e:
|
||||
logger.error(f"Error getting stock prices: {e}")
|
||||
|
||||
return prices
|
||||
|
||||
async def get_weather_data(self) -> Dict[str, Any]:
|
||||
"""Get weather data from external APIs"""
|
||||
logger.info("Collecting weather data...")
|
||||
|
||||
weather = {}
|
||||
|
||||
# Major cities (mock implementation)
|
||||
cities = ["New York", "London", "Tokyo", "Singapore"]
|
||||
|
||||
for city in cities:
|
||||
try:
|
||||
# This would use a real weather API like OpenWeatherMap
|
||||
weather[city] = {
|
||||
"temperature": 20.5, # Celsius
|
||||
"humidity": 65, # Percentage
|
||||
"pressure": 1013.25, # hPa
|
||||
"conditions": "Partly Cloudy",
|
||||
"wind_speed": 10.5 # km/h
|
||||
}
|
||||
except Exception as e:
|
||||
logger.error(f"Error getting weather for {city}: {e}")
|
||||
|
||||
return weather
|
||||
|
||||
async def get_sports_data(self) -> Dict[str, Any]:
|
||||
"""Get sports data from external APIs"""
|
||||
logger.info("Collecting sports data...")
|
||||
|
||||
sports = {}
|
||||
|
||||
# Mock sports data
|
||||
sports["basketball"] = {
|
||||
"NBA": {
|
||||
"games": [
|
||||
{
|
||||
"teams": ["Lakers", "Warriors"],
|
||||
"score": [105, 98],
|
||||
"status": "Final"
|
||||
},
|
||||
{
|
||||
"teams": ["Celtics", "Heat"],
|
||||
"score": [112, 108],
|
||||
"status": "Final"
|
||||
}
|
||||
],
|
||||
"standings": {
|
||||
"Lakers": {"wins": 45, "losses": 20},
|
||||
"Warriors": {"wins": 42, "losses": 23}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
return sports
|
||||
|
||||
async def get_news_data(self) -> Dict[str, Any]:
|
||||
"""Get news data from external APIs"""
|
||||
logger.info("Collecting news data...")
|
||||
|
||||
news = {}
|
||||
|
||||
# Mock news data
|
||||
news["headlines"] = [
|
||||
{
|
||||
"title": "AI Technology Breakthrough Announced",
|
||||
"source": "Tech News",
|
||||
"timestamp": datetime.utcnow().isoformat(),
|
||||
"sentiment": "positive"
|
||||
},
|
||||
{
|
||||
"title": "Cryptocurrency Market Sees Major Movement",
|
||||
"source": "Financial Times",
|
||||
"timestamp": datetime.utcnow().isoformat(),
|
||||
"sentiment": "neutral"
|
||||
}
|
||||
]
|
||||
|
||||
return news
|
||||
|
||||
async def handle_oracle_request(self, request):
|
||||
"""Handle specific oracle data requests"""
|
||||
data_type = request.data_type
|
||||
parameters = request.parameters
|
||||
|
||||
if data_type in self.data_sources:
|
||||
data = await self.data_sources[data_type](**parameters)
|
||||
return {
|
||||
"success": True,
|
||||
"data": data,
|
||||
"timestamp": datetime.utcnow().isoformat()
|
||||
}
|
||||
else:
|
||||
return {
|
||||
"success": False,
|
||||
"error": f"Unknown data type: {data_type}"
|
||||
}
|
||||
|
||||
async def get_agent_status(self) -> Dict[str, Any]:
|
||||
"""Get current agent status"""
|
||||
balance = await self.agent.get_balance()
|
||||
|
||||
return {
|
||||
"name": self.config.name,
|
||||
"address": self.agent.address,
|
||||
"is_running": self.is_running,
|
||||
"balance": balance,
|
||||
"data_sources": list(self.data_sources.keys()),
|
||||
"last_update": datetime.utcnow().isoformat()
|
||||
}
|
||||
|
||||
async def main():
|
||||
"""Main function to run the oracle agent example"""
|
||||
# Create agent
|
||||
agent = OracleAgentExample()
|
||||
|
||||
try:
|
||||
# Start agent
|
||||
await agent.start()
|
||||
|
||||
# Keep running
|
||||
while True:
|
||||
# Print status every 60 seconds
|
||||
status = await agent.get_agent_status()
|
||||
logger.info(f"Oracle agent status: {status}")
|
||||
await asyncio.sleep(60)
|
||||
|
||||
except KeyboardInterrupt:
|
||||
logger.info("Shutting down oracle agent...")
|
||||
await agent.stop()
|
||||
except Exception as e:
|
||||
logger.error(f"Oracle agent error: {e}")
|
||||
await agent.stop()
|
||||
|
||||
if __name__ == "__main__":
|
||||
asyncio.run(main())
|
||||
Reference in New Issue
Block a user