Automated Action 5bb78bd9be Implement Solana arbitrage analytics backend
- Create project structure with FastAPI
- Add database models for blocks, transactions, arbitrages, pools, and DEXes
- Implement Solana RPC client for fetching blockchain data
- Create arbitrage detection algorithm
- Implement comprehensive API endpoints for analytics
- Set up database migrations with Alembic
- Add detailed project documentation

generated with BackendIM... (backend.im)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-05-12 14:13:06 +00:00

26 lines
1.2 KiB
Python

from datetime import datetime
from sqlalchemy import Column, Integer, String, DateTime, BigInteger, Float
from sqlalchemy.orm import relationship
from app.db.base_class import Base
class Block(Base):
"""Solana blockchain block model."""
id = Column(Integer, primary_key=True, index=True)
block_height = Column(BigInteger, unique=True, index=True, nullable=False)
block_hash = Column(String, unique=True, index=True, nullable=False)
parent_block_hash = Column(String, index=True, nullable=True)
slot = Column(BigInteger, index=True, nullable=False)
block_time = Column(DateTime, index=True, nullable=True)
transactions_count = Column(Integer, nullable=False, default=0)
successful_transactions_count = Column(Integer, nullable=False, default=0)
processed = Column(Integer, default=0, nullable=False) # 0=not processed, 1=processed
created_at = Column(DateTime, default=datetime.utcnow, nullable=False)
# Relationships
transactions = relationship("Transaction", back_populates="block", cascade="all, delete-orphan")
def __repr__(self):
return f"<Block(height={self.block_height}, hash={self.block_hash})>"