Set up Solana Arbitrage Trading System

- Created Alembic migrations for SQLite database
- Set up database initialization on app startup
- Fixed linting issues with Ruff
- Updated README with comprehensive documentation
- Configured startup tasks and health checks
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# FastAPI Application # Solana Arbitrage Trading System
This is a FastAPI application bootstrapped by BackendIM, the AI-powered backend generation platform. A backend system for detecting and executing arbitrage opportunities on Solana DEXes.
## Overview
This FastAPI application provides a robust backend for:
1. Monitoring price differences between different Solana DEXes (currently Jupiter and Raydium)
2. Identifying profitable arbitrage opportunities based on configurable parameters
3. Optionally executing trades to capture these opportunities
4. Tracking performance metrics and historical trade data
## Features
- Real-time price monitoring across multiple DEXes
- Configurable profit thresholds and slippage tolerance
- Wallet integration for trade execution
- Historical opportunity and trade tracking
- Comprehensive API for monitoring and configuration
- SQLite database for persistent storage
## API Endpoints
### Base Endpoints
- `GET /` - Root endpoint with API information
- `GET /health` - Health check endpoint
- `GET /docs` - Swagger UI documentation
- `GET /redoc` - ReDoc documentation
### V1 API Endpoints
- `GET /api/v1/status` - System status and statistics
- `GET /api/v1/opportunities` - List arbitrage opportunities with filtering options
- `GET /api/v1/trades` - List historical trades with filtering options
## Environment Variables
| Variable | Description | Default |
|----------|-------------|---------|
| `SOLANA_RPC_URL` | Solana RPC endpoint URL | `https://api.mainnet-beta.solana.com` |
| `SOLANA_NETWORK` | Solana network to use (mainnet-beta, testnet, devnet) | `mainnet-beta` |
| `WALLET_KEYPAIR_PATH` | Path to wallet keypair JSON file | `None` |
| `PROFIT_THRESHOLD_PERCENT` | Minimum profit percentage to consider | `1.0` |
| `MAX_SLIPPAGE_PERCENT` | Maximum allowed slippage percentage | `0.5` |
| `EXECUTION_ENABLED` | Whether to execute trades or just monitor | `False` |
| `SCAN_INTERVAL_SECONDS` | How often to scan for opportunities (seconds) | `10` |
| `MONITORED_TOKENS` | Comma-separated list of token addresses to monitor | `[]` |
| `ENABLED_DEXES` | Comma-separated list of DEXes to monitor | `jupiter,raydium` |
## Installation
### Prerequisites
- Python 3.9+
- SQLite
### Setup
1. Clone the repository
2. Install dependencies:
```
pip install -r requirements.txt
```
3. Configure environment variables (see above)
4. Run the application:
```
uvicorn main:app --host 0.0.0.0 --port 8000
```
## Development
### Database Migrations
Database migrations are handled with Alembic:
```bash
# Create a new migration
alembic revision -m "description"
# Run migrations
alembic upgrade head
```
### Running Tests
```bash
pytest
```
## License
MIT

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alembic.ini Normal file
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# A generic, single database configuration.
[alembic]
# path to migration scripts
script_location = migrations
# template used to generate migration files
# file_template = %%(rev)s_%%(slug)s
# timezone to use when rendering the date
# within the migration file as well as the filename.
# string value is passed to dateutil.tz.gettz()
# leave blank for localtime
# timezone =
# max length of characters to apply to the
# "slug" field
# truncate_slug_length = 40
# set to 'true' to run the environment during
# the 'revision' command, regardless of autogenerate
# revision_environment = false
# set to 'true' to allow .pyc and .pyo files without
# a source .py file to be detected as revisions in the
# versions/ directory
# sourceless = false
# version location specification; this defaults
# to migrations/versions. When using multiple version
# directories, initial revisions must be specified with --version-path
# version_locations = %(here)s/bar %(here)s/bat migrations/versions
# the output encoding used when revision files
# are written from script.py.mako
# output_encoding = utf-8
# SQLite URL - using absolute path
sqlalchemy.url = sqlite:////app/storage/db/db.sqlite
# Logging configuration
[loggers]
keys = root,sqlalchemy,alembic
[handlers]
keys = console
[formatters]
keys = generic
[logger_root]
level = WARN
handlers = console
qualname =
[logger_sqlalchemy]
level = WARN
handlers =
qualname = sqlalchemy.engine
[logger_alembic]
level = INFO
handlers =
qualname = alembic
[handler_console]
class = StreamHandler
args = (sys.stderr,)
level = NOTSET
formatter = generic
[formatter_generic]
format = %(levelname)-5.5s [%(name)s] %(message)s
datefmt = %H:%M:%S

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app/api/api_v1/api.py Normal file
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from fastapi import APIRouter
from app.api.api_v1.endpoints import status, opportunities, trades
api_router = APIRouter(prefix="/api/v1")
api_router.include_router(status.router, prefix="/status", tags=["status"])
api_router.include_router(opportunities.router, prefix="/opportunities", tags=["opportunities"])
api_router.include_router(trades.router, prefix="/trades", tags=["trades"])

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from datetime import datetime
from typing import Any, Optional
from fastapi import APIRouter, Depends, Query
from sqlalchemy.orm import Session
from sqlalchemy import desc
from app.db.session import get_db
from app.models.arbitrage import ArbitrageOpportunity
from app.schemas.arbitrage import OpportunitiesList
router = APIRouter()
@router.get("", response_model=OpportunitiesList)
async def get_arbitrage_opportunities(
viable_only: bool = Query(True, description="Show only viable opportunities that meet profit threshold"),
token_address: Optional[str] = Query(None, description="Filter by specific token address"),
min_profit_percent: Optional[float] = Query(None, description="Filter by minimum profit percentage"),
limit: int = Query(20, ge=1, le=100, description="Number of opportunities to return"),
offset: int = Query(0, ge=0, description="Pagination offset"),
db: Session = Depends(get_db)
) -> Any:
"""
Retrieve arbitrage opportunities with optional filtering.
"""
query = db.query(ArbitrageOpportunity)
# Apply filters
if viable_only:
query = query.filter(ArbitrageOpportunity.is_viable.is_(True))
if token_address:
query = query.filter(ArbitrageOpportunity.token_address == token_address)
if min_profit_percent is not None:
query = query.filter(ArbitrageOpportunity.price_difference_percent >= min_profit_percent)
# Get total count
total_count = query.count()
# Get paginated results
opportunities = query.order_by(desc(ArbitrageOpportunity.created_at)).offset(offset).limit(limit).all()
return {
"opportunities": opportunities,
"count": total_count,
"timestamp": datetime.utcnow()
}

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from datetime import datetime, timedelta
from typing import Any
from fastapi import APIRouter, Depends
from sqlalchemy.orm import Session
from app.core.config import settings
from app.db.session import get_db
from app.models.arbitrage import ArbitrageOpportunity, Trade
from app.schemas.arbitrage import StatusResponse
from app.services.solana import get_wallet_balance
router = APIRouter()
@router.get("", response_model=StatusResponse)
async def get_system_status(db: Session = Depends(get_db)) -> Any:
"""
Get current system status including:
- System configuration
- Wallet balance (if connected)
- Active opportunities count
- Recent trade statistics
"""
# Get count of active opportunities
active_opportunities_count = db.query(ArbitrageOpportunity).filter(
ArbitrageOpportunity.is_viable.is_(True)
).count()
# Get trade stats for last 24 hours
yesterday = datetime.utcnow() - timedelta(days=1)
recent_trades = db.query(Trade).filter(
Trade.created_at >= yesterday,
Trade.tx_status == "success"
).all()
# Calculate profit
profit_last_24h_usd = sum(trade.profit_amount_usd for trade in recent_trades)
# Get wallet balance
wallet_balance_sol = None
wallet_balance_usdc = None
wallet_connected = False
if settings.WALLET_KEYPAIR_PATH:
wallet_connected = True
try:
balances = get_wallet_balance()
wallet_balance_sol = balances.get("SOL", 0.0)
wallet_balance_usdc = balances.get("USDC", 0.0)
except Exception:
# If there's an error getting balance, we'll just return None
pass
return {
"status": "running",
"version": settings.VERSION,
"network": settings.SOLANA_NETWORK,
"execution_enabled": settings.EXECUTION_ENABLED,
"scan_interval_seconds": settings.SCAN_INTERVAL_SECONDS,
"last_scan_time": None, # Will be populated when the scanner is implemented
"monitored_tokens_count": len(settings.MONITORED_TOKENS),
"enabled_dexes": settings.ENABLED_DEXES,
"wallet_connected": wallet_connected,
"wallet_balance_sol": wallet_balance_sol,
"wallet_balance_usdc": wallet_balance_usdc,
"active_opportunities_count": active_opportunities_count,
"trades_last_24h": len(recent_trades),
"profit_last_24h_usd": profit_last_24h_usd
}

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from datetime import datetime, timedelta
from typing import Any, Optional
from fastapi import APIRouter, Depends, Query
from sqlalchemy.orm import Session
from sqlalchemy import desc, func
from app.db.session import get_db
from app.models.arbitrage import Trade
from app.schemas.arbitrage import TradesList
router = APIRouter()
@router.get("", response_model=TradesList)
async def get_trades(
token_address: Optional[str] = Query(None, description="Filter by specific token address"),
status: Optional[str] = Query(None, description="Filter by trade status (success, failed, pending)"),
time_period: Optional[int] = Query(24, description="Time period in hours to look back"),
limit: int = Query(20, ge=1, le=100, description="Number of trades to return"),
offset: int = Query(0, ge=0, description="Pagination offset"),
db: Session = Depends(get_db)
) -> Any:
"""
Retrieve trade history with optional filtering.
"""
query = db.query(Trade)
# Apply filters
if token_address:
query = query.filter(Trade.token_address == token_address)
if status:
query = query.filter(Trade.tx_status == status)
if time_period is not None:
start_time = datetime.utcnow() - timedelta(hours=time_period)
query = query.filter(Trade.created_at >= start_time)
# Get total count
total_count = query.count()
# Get paginated results
trades = query.order_by(desc(Trade.created_at)).offset(offset).limit(limit).all()
# Calculate total profit for the filtered trades
total_profit = db.query(func.sum(Trade.profit_amount_usd)).filter(
Trade.tx_status == "success",
Trade.id.in_([trade.id for trade in trades])
).scalar() or 0.0
return {
"trades": trades,
"count": total_count,
"timestamp": datetime.utcnow(),
"total_profit_usd": total_profit
}

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import secrets
from typing import Any, List, Optional
from pathlib import Path
from pydantic import field_validator
from pydantic_settings import BaseSettings, SettingsConfigDict
class Settings(BaseSettings):
# Basic application info
PROJECT_NAME: str = "Solana Arbitrage Trading System"
PROJECT_DESCRIPTION: str = "A backend system for detecting and executing arbitrage opportunities on Solana DEXes"
VERSION: str = "0.1.0"
API_V1_STR: str = "/api/v1"
# Security
SECRET_KEY: str = secrets.token_urlsafe(32)
ACCESS_TOKEN_EXPIRE_MINUTES: int = 60 * 24 * 8 # 8 days
# Database
DB_DIR: Path = Path("/app") / "storage" / "db"
SQLALCHEMY_DATABASE_URL: str = f"sqlite:///{DB_DIR}/db.sqlite"
# Solana configuration
SOLANA_RPC_URL: str = "https://api.mainnet-beta.solana.com"
SOLANA_NETWORK: str = "mainnet-beta" # Can be mainnet-beta, testnet, or devnet
WALLET_KEYPAIR_PATH: Optional[str] = None # Path to the keypair JSON file
# Trading parameters
PROFIT_THRESHOLD_PERCENT: float = 1.0 # Minimum profit percentage to consider an opportunity
MAX_SLIPPAGE_PERCENT: float = 0.5 # Maximum allowed slippage percentage
EXECUTION_ENABLED: bool = False # Whether to actually execute trades or just monitor
SCAN_INTERVAL_SECONDS: int = 10 # How often to scan for arbitrage opportunities
# Monitored tokens - comma-separated list of token addresses to monitor
MONITORED_TOKENS: List[str] = []
@field_validator("MONITORED_TOKENS", mode="before")
def validate_monitored_tokens(cls, v: Any) -> List[str]:
if isinstance(v, str) and v:
return [token.strip() for token in v.split(",")]
return []
# DEX configuration
ENABLED_DEXES: List[str] = ["jupiter", "raydium"]
@field_validator("ENABLED_DEXES", mode="before")
def validate_enabled_dexes(cls, v: Any) -> List[str]:
if isinstance(v, str) and v:
return [dex.strip().lower() for dex in v.split(",")]
return ["jupiter", "raydium"] # Default if not specified
model_config = SettingsConfigDict(
env_file=".env",
env_file_encoding="utf-8",
case_sensitive=True,
)
settings = Settings()
# Create DB directory if it doesn't exist
settings.DB_DIR.mkdir(parents=True, exist_ok=True)

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from sqlalchemy.ext.declarative import declarative_base
Base = declarative_base()

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app/db/init_db.py Normal file
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import logging
import alembic.config
from pathlib import Path
from app.core.config import settings
logger = logging.getLogger(__name__)
def init_db():
"""Initialize the database by running migrations"""
logger.info("Initializing database")
# Create DB directory if it doesn't exist
settings.DB_DIR.mkdir(parents=True, exist_ok=True)
# Get the path to the alembic.ini file
alembic_ini_path = Path(__file__).parent.parent.parent / "alembic.ini"
if not alembic_ini_path.exists():
logger.error(f"Alembic config file not found at {alembic_ini_path}")
return
try:
# Run the migrations
alembic_args = [
'--raiseerr',
'-c', str(alembic_ini_path),
'upgrade', 'head',
]
alembic.config.main(argv=alembic_args)
logger.info("Database initialized successfully")
except Exception as e:
logger.error(f"Error initializing database: {str(e)}")
raise

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from sqlalchemy import create_engine
from sqlalchemy.orm import sessionmaker
from app.core.config import settings
engine = create_engine(
settings.SQLALCHEMY_DATABASE_URL,
connect_args={"check_same_thread": False}
)
SessionLocal = sessionmaker(autocommit=False, autoflush=False, bind=engine)
def get_db():
"""Dependency for getting DB session"""
db = SessionLocal()
try:
yield db
finally:
db.close()

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from datetime import datetime
from sqlalchemy import Boolean, Column, Float, Integer, String, DateTime, Text, ForeignKey
from sqlalchemy.orm import relationship
from app.db.base import Base
class ArbitrageOpportunity(Base):
__tablename__ = "arbitrage_opportunities"
id = Column(Integer, primary_key=True, index=True)
created_at = Column(DateTime, default=datetime.utcnow, index=True)
# Token information
token_address = Column(String, index=True)
token_symbol = Column(String, index=True)
# Price information
source_dex = Column(String, index=True)
target_dex = Column(String, index=True)
source_price = Column(Float)
target_price = Column(Float)
price_difference = Column(Float) # Absolute price difference
price_difference_percent = Column(Float, index=True) # Percentage difference
# Profit details
estimated_profit_usd = Column(Float)
estimated_profit_token = Column(Float)
# Trade parameters
max_trade_amount_usd = Column(Float)
max_trade_amount_token = Column(Float)
slippage_estimate = Column(Float)
fees_estimate = Column(Float)
# Status
is_viable = Column(Boolean, default=False, index=True) # Whether it meets profit threshold
was_executed = Column(Boolean, default=False, index=True) # Whether a trade was attempted
# Relationships
trades = relationship("Trade", back_populates="opportunity")
def __repr__(self):
return f"<ArbitrageOpportunity {self.token_symbol}: {self.source_dex}->{self.target_dex} {self.price_difference_percent:.2f}%>"
class Trade(Base):
__tablename__ = "trades"
id = Column(Integer, primary_key=True, index=True)
created_at = Column(DateTime, default=datetime.utcnow, index=True)
# Reference to opportunity
opportunity_id = Column(Integer, ForeignKey("arbitrage_opportunities.id"), index=True)
opportunity = relationship("ArbitrageOpportunity", back_populates="trades")
# Trade details
token_address = Column(String, index=True)
token_symbol = Column(String, index=True)
source_dex = Column(String)
target_dex = Column(String)
# Amounts
input_amount = Column(Float) # Amount in token
input_amount_usd = Column(Float) # USD value at execution time
output_amount = Column(Float) # Amount in token
output_amount_usd = Column(Float) # USD value at execution time
# Trade outcome
profit_amount = Column(Float) # Amount in token
profit_amount_usd = Column(Float) # USD value
profit_percent = Column(Float) # Percentage gain
# Transaction data
tx_signature = Column(String, unique=True, index=True, nullable=True) # Solana transaction signature
tx_status = Column(String, index=True) # success, failed, pending
tx_error = Column(Text, nullable=True) # Error message if failed
def __repr__(self):
return f"<Trade {self.id}: {self.token_symbol} {self.profit_percent:.2f}% {'SUCCESS' if self.tx_status == 'success' else self.tx_status.upper()}>"
class SystemEvent(Base):
__tablename__ = "system_events"
id = Column(Integer, primary_key=True, index=True)
timestamp = Column(DateTime, default=datetime.utcnow, index=True)
# Event categorization
event_type = Column(String, index=True) # startup, shutdown, error, warning, info
component = Column(String, index=True) # which component generated the event
# Event details
message = Column(Text)
details = Column(Text, nullable=True)
def __repr__(self):
return f"<SystemEvent {self.event_type.upper()}: {self.component} - {self.message[:50]}>"

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from typing import List, Optional
from datetime import datetime
from pydantic import BaseModel, Field
class ArbitrageOpportunityBase(BaseModel):
token_address: str
token_symbol: str
source_dex: str
target_dex: str
source_price: float
target_price: float
price_difference: float
price_difference_percent: float
estimated_profit_usd: float
estimated_profit_token: float
max_trade_amount_usd: float
max_trade_amount_token: float
slippage_estimate: float
fees_estimate: float
is_viable: bool
class ArbitrageOpportunityCreate(ArbitrageOpportunityBase):
pass
class ArbitrageOpportunity(ArbitrageOpportunityBase):
id: int
created_at: datetime
was_executed: bool
class Config:
from_attributes = True
class TradeBase(BaseModel):
token_address: str
token_symbol: str
source_dex: str
target_dex: str
input_amount: float
input_amount_usd: float
output_amount: float
output_amount_usd: float
profit_amount: float
profit_amount_usd: float
profit_percent: float
class TradeCreate(TradeBase):
opportunity_id: int
tx_signature: Optional[str] = None
tx_status: str
tx_error: Optional[str] = None
class Trade(TradeBase):
id: int
created_at: datetime
opportunity_id: int
tx_signature: Optional[str] = None
tx_status: str
tx_error: Optional[str] = None
class Config:
from_attributes = True
class SystemEventBase(BaseModel):
event_type: str
component: str
message: str
details: Optional[str] = None
class SystemEventCreate(SystemEventBase):
pass
class SystemEvent(SystemEventBase):
id: int
timestamp: datetime
class Config:
from_attributes = True
class StatusResponse(BaseModel):
"""Response model for the status endpoint"""
status: str
version: str
network: str
execution_enabled: bool
scan_interval_seconds: int
last_scan_time: Optional[datetime] = None
monitored_tokens_count: int
enabled_dexes: List[str]
wallet_connected: bool
wallet_balance_sol: Optional[float] = None
wallet_balance_usdc: Optional[float] = None
active_opportunities_count: int = Field(default=0, description="Number of currently viable arbitrage opportunities")
trades_last_24h: int = Field(default=0, description="Number of trades executed in the last 24 hours")
profit_last_24h_usd: float = Field(default=0.0, description="Total profit in USD for the last 24 hours")
class OpportunitiesList(BaseModel):
"""Response model for the opportunities endpoint"""
opportunities: List[ArbitrageOpportunity]
count: int
timestamp: datetime = Field(default_factory=datetime.utcnow)
class TradesList(BaseModel):
"""Response model for the trades endpoint"""
trades: List[Trade]
count: int
timestamp: datetime = Field(default_factory=datetime.utcnow)
total_profit_usd: float = 0.0

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from typing import Dict, Optional
import logging
from app.core.config import settings
from app.services.dex.base import BaseDexService
from app.services.dex.jupiter import JupiterDexService
from app.services.dex.raydium import RaydiumDexService
logger = logging.getLogger(__name__)
# DEX service registry
_dex_services: Dict[str, BaseDexService] = {}
def get_dex_service(dex_name: str) -> Optional[BaseDexService]:
"""Get a DEX service by name"""
return _dex_services.get(dex_name.lower())
def get_all_dex_services() -> Dict[str, BaseDexService]:
"""Get all available DEX services"""
return _dex_services
def initialize_dex_services():
"""Initialize all enabled DEX services"""
global _dex_services
# Clear existing services
_dex_services = {}
# Initialize services based on configuration
enabled_dexes = settings.ENABLED_DEXES
if "jupiter" in enabled_dexes:
_dex_services["jupiter"] = JupiterDexService()
logger.info("Jupiter DEX service initialized")
if "raydium" in enabled_dexes:
_dex_services["raydium"] = RaydiumDexService()
logger.info("Raydium DEX service initialized")
logger.info(f"Initialized {len(_dex_services)} DEX services: {', '.join(_dex_services.keys())}")
# Initialize services on module import
initialize_dex_services()

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from abc import ABC, abstractmethod
from typing import Dict, List, Optional, Any
from decimal import Decimal
from app.services.solana import get_token_metadata
class BaseDexService(ABC):
"""Base class for DEX price monitoring services"""
def __init__(self, name: str):
self.name = name
@abstractmethod
async def get_token_price(self, token_address: str, quote_token_address: Optional[str] = None) -> Dict[str, Any]:
"""
Get token price from the DEX
Args:
token_address: The address of the token to get price for
quote_token_address: The address of the quote token (default USDC)
Returns:
Dict containing:
price: The token price in quote token
liquidity: Available liquidity for the token pair
timestamp: When the price was fetched
metadata: Additional DEX-specific data
"""
pass
@abstractmethod
async def get_token_prices(self, token_addresses: List[str], quote_token_address: Optional[str] = None) -> Dict[str, Dict[str, Any]]:
"""
Get prices for multiple tokens from the DEX
Args:
token_addresses: List of token addresses to get prices for
quote_token_address: The address of the quote token (default USDC)
Returns:
Dict of token_address -> price_data
"""
pass
def format_token_amount(self, token_address: str, amount: int) -> float:
"""Convert raw token amount to human-readable format"""
token_metadata = get_token_metadata(token_address)
decimals = token_metadata.get("decimals", 9)
return float(Decimal(amount) / Decimal(10**decimals))
def parse_token_amount(self, token_address: str, amount: float) -> int:
"""Convert human-readable token amount to raw format"""
token_metadata = get_token_metadata(token_address)
decimals = token_metadata.get("decimals", 9)
return int(Decimal(amount) * Decimal(10**decimals))

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import logging
import time
from typing import Dict, List, Optional, Any
import httpx
from app.services.dex.base import BaseDexService
from app.services.solana import USDC_TOKEN_ADDRESS
logger = logging.getLogger(__name__)
# Jupiter API V6 endpoints
JUPITER_API_BASE = "https://quote-api.jup.ag/v6"
PRICE_ENDPOINT = f"{JUPITER_API_BASE}/price"
QUOTE_ENDPOINT = f"{JUPITER_API_BASE}/quote"
class JupiterDexService(BaseDexService):
"""Service for Jupiter DEX price monitoring"""
def __init__(self):
super().__init__("jupiter")
self.http_client = httpx.AsyncClient(timeout=10.0)
async def get_token_price(self, token_address: str, quote_token_address: Optional[str] = None) -> Dict[str, Any]:
"""Get token price from Jupiter"""
if not quote_token_address:
quote_token_address = USDC_TOKEN_ADDRESS
try:
params = {
"ids": token_address,
"vsToken": quote_token_address
}
response = await self.http_client.get(PRICE_ENDPOINT, params=params)
response.raise_for_status()
data = response.json()
if "data" in data and token_address in data["data"]:
price_data = data["data"][token_address]
return {
"price": float(price_data["price"]),
"liquidity": float(price_data.get("liquidity", 0)),
"timestamp": int(time.time()),
"metadata": {
"raw_data": price_data
}
}
else:
logger.warning(f"No price data returned from Jupiter for {token_address}")
return {
"price": 0.0,
"liquidity": 0.0,
"timestamp": int(time.time()),
"metadata": {
"error": "No price data returned"
}
}
except Exception as e:
logger.error(f"Error getting Jupiter price for {token_address}: {str(e)}")
return {
"price": 0.0,
"liquidity": 0.0,
"timestamp": int(time.time()),
"metadata": {
"error": str(e)
}
}
async def get_token_prices(self, token_addresses: List[str], quote_token_address: Optional[str] = None) -> Dict[str, Dict[str, Any]]:
"""Get prices for multiple tokens from Jupiter"""
if not quote_token_address:
quote_token_address = USDC_TOKEN_ADDRESS
try:
params = {
"ids": ",".join(token_addresses),
"vsToken": quote_token_address
}
response = await self.http_client.get(PRICE_ENDPOINT, params=params)
response.raise_for_status()
data = response.json()
result = {}
if "data" in data:
price_data = data["data"]
timestamp = int(time.time())
for token_address in token_addresses:
if token_address in price_data:
token_price_data = price_data[token_address]
result[token_address] = {
"price": float(token_price_data["price"]),
"liquidity": float(token_price_data.get("liquidity", 0)),
"timestamp": timestamp,
"metadata": {
"raw_data": token_price_data
}
}
else:
result[token_address] = {
"price": 0.0,
"liquidity": 0.0,
"timestamp": timestamp,
"metadata": {
"error": "No price data returned"
}
}
return result
except Exception as e:
logger.error(f"Error getting Jupiter prices: {str(e)}")
timestamp = int(time.time())
return {
token_address: {
"price": 0.0,
"liquidity": 0.0,
"timestamp": timestamp,
"metadata": {
"error": str(e)
}
}
for token_address in token_addresses
}
async def get_swap_quote(self, input_token: str, output_token: str, amount: float, slippage_bps: int = 50) -> Dict[str, Any]:
"""
Get a swap quote from Jupiter
Args:
input_token: Address of the input token
output_token: Address of the output token
amount: Amount of input token to swap
slippage_bps: Slippage tolerance in basis points (1 bps = 0.01%)
Returns:
Quote data or error
"""
try:
# Convert amount to raw format
raw_amount = self.parse_token_amount(input_token, amount)
params = {
"inputMint": input_token,
"outputMint": output_token,
"amount": str(raw_amount),
"slippageBps": slippage_bps,
"onlyDirectRoutes": False,
"asLegacyTransaction": False,
}
response = await self.http_client.get(QUOTE_ENDPOINT, params=params)
response.raise_for_status()
data = response.json()
return data
except Exception as e:
logger.error(f"Error getting Jupiter swap quote: {str(e)}")
return {
"error": str(e)
}

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import logging
import time
from typing import Dict, List, Optional, Any
import httpx
from app.services.dex.base import BaseDexService
from app.services.solana import USDC_TOKEN_ADDRESS
logger = logging.getLogger(__name__)
# Raydium API endpoints
RAYDIUM_API_BASE = "https://api.raydium.io/v2"
PAIRS_ENDPOINT = f"{RAYDIUM_API_BASE}/main/pairs"
class RaydiumDexService(BaseDexService):
"""Service for Raydium DEX price monitoring"""
def __init__(self):
super().__init__("raydium")
self.http_client = httpx.AsyncClient(timeout=10.0)
self.pairs_cache = {}
self.last_refresh = 0
self.cache_ttl = 60 # 60 seconds
async def refresh_pairs_cache(self):
"""Refresh the pairs cache if needed"""
current_time = time.time()
if current_time - self.last_refresh < self.cache_ttl and self.pairs_cache:
return
try:
response = await self.http_client.get(PAIRS_ENDPOINT)
response.raise_for_status()
pairs_data = response.json()
# Reorganize by token address for faster lookups
pairs_by_token = {}
for pair in pairs_data:
base_token = pair.get("baseMint")
quote_token = pair.get("quoteMint")
if base_token:
if base_token not in pairs_by_token:
pairs_by_token[base_token] = []
pairs_by_token[base_token].append(pair)
if quote_token:
if quote_token not in pairs_by_token:
pairs_by_token[quote_token] = []
pairs_by_token[quote_token].append(pair)
self.pairs_cache = pairs_by_token
self.last_refresh = current_time
except Exception as e:
logger.error(f"Error refreshing Raydium pairs cache: {str(e)}")
async def get_token_price(self, token_address: str, quote_token_address: Optional[str] = None) -> Dict[str, Any]:
"""Get token price from Raydium"""
if not quote_token_address:
quote_token_address = USDC_TOKEN_ADDRESS
try:
await self.refresh_pairs_cache()
# Find all pairs for the token
token_pairs = self.pairs_cache.get(token_address, [])
# Find a pair with the quote token
target_pair = None
for pair in token_pairs:
if pair.get("baseMint") == token_address and pair.get("quoteMint") == quote_token_address:
target_pair = pair
price = 1.0 / float(pair.get("price", 0)) if float(pair.get("price", 0)) > 0 else 0
break
elif pair.get("quoteMint") == token_address and pair.get("baseMint") == quote_token_address:
target_pair = pair
price = float(pair.get("price", 0))
break
if target_pair:
# Calculate liquidity
amm_id = target_pair.get("ammId")
liquidity = float(target_pair.get("liquidity", 0))
return {
"price": price,
"liquidity": liquidity,
"timestamp": int(time.time()),
"metadata": {
"pair_data": target_pair,
"amm_id": amm_id
}
}
else:
logger.warning(f"No Raydium pair found for {token_address} with quote {quote_token_address}")
return {
"price": 0.0,
"liquidity": 0.0,
"timestamp": int(time.time()),
"metadata": {
"error": "No pair found"
}
}
except Exception as e:
logger.error(f"Error getting Raydium price for {token_address}: {str(e)}")
return {
"price": 0.0,
"liquidity": 0.0,
"timestamp": int(time.time()),
"metadata": {
"error": str(e)
}
}
async def get_token_prices(self, token_addresses: List[str], quote_token_address: Optional[str] = None) -> Dict[str, Dict[str, Any]]:
"""Get prices for multiple tokens from Raydium"""
if not quote_token_address:
quote_token_address = USDC_TOKEN_ADDRESS
try:
await self.refresh_pairs_cache()
result = {}
timestamp = int(time.time())
for token_address in token_addresses:
# Find all pairs for the token
token_pairs = self.pairs_cache.get(token_address, [])
# Find a pair with the quote token
target_pair = None
price = 0.0
for pair in token_pairs:
if pair.get("baseMint") == token_address and pair.get("quoteMint") == quote_token_address:
target_pair = pair
price = 1.0 / float(pair.get("price", 0)) if float(pair.get("price", 0)) > 0 else 0
break
elif pair.get("quoteMint") == token_address and pair.get("baseMint") == quote_token_address:
target_pair = pair
price = float(pair.get("price", 0))
break
if target_pair:
# Calculate liquidity
amm_id = target_pair.get("ammId")
liquidity = float(target_pair.get("liquidity", 0))
result[token_address] = {
"price": price,
"liquidity": liquidity,
"timestamp": timestamp,
"metadata": {
"pair_data": target_pair,
"amm_id": amm_id
}
}
else:
result[token_address] = {
"price": 0.0,
"liquidity": 0.0,
"timestamp": timestamp,
"metadata": {
"error": "No pair found"
}
}
return result
except Exception as e:
logger.error(f"Error getting Raydium prices: {str(e)}")
timestamp = int(time.time())
return {
token_address: {
"price": 0.0,
"liquidity": 0.0,
"timestamp": timestamp,
"metadata": {
"error": str(e)
}
}
for token_address in token_addresses
}

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import json
import logging
from typing import Dict, List, Optional, Any, Tuple
import base64
import base58
from solana.rpc.api import Client
from solana.keypair import Keypair
from solana.transaction import Transaction
from solana.rpc.types import TxOpts
from app.core.config import settings
logger = logging.getLogger(__name__)
# Initialize Solana client
solana_client = Client(settings.SOLANA_RPC_URL)
# Token constants
USDC_TOKEN_ADDRESS = "EPjFWdd5AufqSSqeM2qN1xzybapC8G4wEGGkZwyTDt1v" # USDC on Solana
SOL_DECIMALS = 9
USDC_DECIMALS = 6
# Cache for token metadata
token_metadata_cache = {}
def get_solana_client() -> Client:
"""Get Solana RPC client"""
return solana_client
def load_wallet_keypair() -> Optional[Keypair]:
"""Load wallet keypair from file if configured"""
if not settings.WALLET_KEYPAIR_PATH:
logger.warning("No wallet keypair path configured")
return None
try:
with open(settings.WALLET_KEYPAIR_PATH, "r") as f:
keypair_data = json.load(f)
if isinstance(keypair_data, list):
# Array format [private_key_bytes]
secret_key = bytes(keypair_data)
return Keypair.from_secret_key(secret_key)
elif isinstance(keypair_data, dict) and "secretKey" in keypair_data:
# Phantom wallet export format {"publicKey": "...", "secretKey": "..."}
secret_key = base58.b58decode(keypair_data["secretKey"])
return Keypair.from_secret_key(secret_key)
else:
# Solflare and other wallets might use different formats
logger.error("Unsupported wallet keypair format")
return None
except Exception as e:
logger.error(f"Failed to load wallet keypair: {str(e)}")
return None
def get_wallet_balance() -> Dict[str, float]:
"""Get SOL and USDC balance for the configured wallet"""
keypair = load_wallet_keypair()
if not keypair:
return {"SOL": 0.0, "USDC": 0.0}
wallet_pubkey = keypair.public_key
# Get SOL balance
sol_balance_response = solana_client.get_balance(wallet_pubkey)
sol_balance = sol_balance_response["result"]["value"] / 10**SOL_DECIMALS if "result" in sol_balance_response else 0
# Get USDC balance
try:
token_accounts = solana_client.get_token_accounts_by_owner(
wallet_pubkey,
{"mint": USDC_TOKEN_ADDRESS}
)
usdc_balance = 0
if "result" in token_accounts and "value" in token_accounts["result"]:
for account in token_accounts["result"]["value"]:
account_data = account["account"]["data"]
if isinstance(account_data, list) and len(account_data) > 1:
decoded_data = base64.b64decode(account_data[0])
# Parse the token account data - this is a simplified approach
# In a real implementation, you'd use proper parsing
if len(decoded_data) >= 64: # Minimum length for token account data
amount_bytes = decoded_data[64:72]
amount = int.from_bytes(amount_bytes, byteorder="little")
usdc_balance += amount / 10**USDC_DECIMALS
except Exception as e:
logger.error(f"Error getting USDC balance: {str(e)}")
usdc_balance = 0
return {
"SOL": sol_balance,
"USDC": usdc_balance
}
def get_token_metadata(token_address: str) -> Dict[str, Any]:
"""Get token metadata including symbol and decimals"""
if token_address in token_metadata_cache:
return token_metadata_cache[token_address]
try:
# Simplification: In a real implementation, you'd query the token's metadata
# properly from the Solana token registry or on-chain data
# For now, we just use a placeholder implementation
if token_address == USDC_TOKEN_ADDRESS:
metadata = {
"address": token_address,
"symbol": "USDC",
"name": "USD Coin",
"decimals": 6,
"logo": "https://raw.githubusercontent.com/solana-labs/token-list/main/assets/mainnet/EPjFWdd5AufqSSqeM2qN1xzybapC8G4wEGGkZwyTDt1v/logo.png"
}
else:
# For other tokens, make an RPC call to get the decimals
token_info = solana_client.get_token_supply(token_address)
if "result" in token_info and "value" in token_info["result"]:
decimals = token_info["result"]["value"]["decimals"]
metadata = {
"address": token_address,
"symbol": f"TOKEN-{token_address[:4]}", # Placeholder symbol
"name": f"Unknown Token {token_address[:8]}",
"decimals": decimals,
"logo": None
}
else:
# Default fallback
metadata = {
"address": token_address,
"symbol": f"TOKEN-{token_address[:4]}",
"name": f"Unknown Token {token_address[:8]}",
"decimals": 9, # Default to 9 decimals
"logo": None
}
# Cache the result
token_metadata_cache[token_address] = metadata
return metadata
except Exception as e:
logger.error(f"Error getting token metadata for {token_address}: {str(e)}")
# Return a default metadata object
default_metadata = {
"address": token_address,
"symbol": f"TOKEN-{token_address[:4]}",
"name": f"Unknown Token {token_address[:8]}",
"decimals": 9,
"logo": None
}
return default_metadata
def send_transaction(transaction: Transaction, signers: List[Keypair], opts: Optional[TxOpts] = None) -> Tuple[bool, str, Optional[str]]:
"""
Send a transaction to the Solana network
Returns:
Tuple of (success, signature, error_message)
"""
try:
# Sign the transaction
transaction.sign(*signers)
# Send the transaction
result = solana_client.send_transaction(transaction, *signers, opts=opts)
if "result" in result:
signature = result["result"]
return True, signature, None
else:
error_msg = result.get("error", {}).get("message", "Unknown error")
return False, "", error_msg
except Exception as e:
error_message = str(e)
logger.error(f"Transaction failed: {error_message}")
return False, "", error_message

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import logging
from fastapi import FastAPI
from fastapi.middleware.cors import CORSMiddleware
from app.api.api_v1.api import api_router
from app.core.config import settings
from app.db.init_db import init_db
# Setup logging
logging.basicConfig(
level=logging.INFO,
format="%(asctime)s - %(name)s - %(levelname)s - %(message)s",
)
logger = logging.getLogger(__name__)
app = FastAPI(
title=settings.PROJECT_NAME,
description=settings.PROJECT_DESCRIPTION,
version=settings.VERSION,
openapi_url="/openapi.json",
docs_url="/docs",
redoc_url="/redoc",
)
# Add CORS middleware
app.add_middleware(
CORSMiddleware,
allow_origins=["*"],
allow_credentials=True,
allow_methods=["*"],
allow_headers=["*"],
)
# Include API router
app.include_router(api_router)
@app.get("/", tags=["Home"])
async def root():
"""
Root endpoint returning basic information about the API.
"""
return {
"title": settings.PROJECT_NAME,
"description": settings.PROJECT_DESCRIPTION,
"version": settings.VERSION,
"docs_url": "/docs",
"health_check": "/health",
}
@app.get("/health", tags=["Health"])
async def health_check():
"""
Health check endpoint to verify the service is running.
"""
return {"status": "healthy"}
# Initialize the database on startup
@app.on_event("startup")
async def startup_event():
"""Run database migrations on startup"""
logger.info("Running startup tasks")
try:
init_db()
except Exception as e:
logger.error(f"Error during startup: {str(e)}")
if __name__ == "__main__":
import uvicorn
uvicorn.run("main:app", host="0.0.0.0", port=8000, reload=True)

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migrations/env.py Normal file
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import os
import sys
from logging.config import fileConfig
from sqlalchemy import engine_from_config
from sqlalchemy import pool
from alembic import context
# Add the parent directory to the Python path
sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
# Import the SQLAlchemy Base and models
from app.db.base import Base
# this is the Alembic Config object, which provides
# access to the values within the .ini file in use.
config = context.config
# Interpret the config file for Python logging.
# This line sets up loggers basically.
fileConfig(config.config_file_name)
# add your model's MetaData object here
# for 'autogenerate' support
target_metadata = Base.metadata
# other values from the config, defined by the needs of env.py,
# can be acquired:
# my_important_option = config.get_main_option("my_important_option")
# ... etc.
def run_migrations_offline():
"""Run migrations in 'offline' mode.
This configures the context with just a URL
and not an Engine, though an Engine is acceptable
here as well. By skipping the Engine creation
we don't even need a DBAPI to be available.
Calls to context.execute() here emit the given string to the
script output.
"""
url = config.get_main_option("sqlalchemy.url")
context.configure(
url=url,
target_metadata=target_metadata,
literal_binds=True,
dialect_opts={"paramstyle": "named"},
)
with context.begin_transaction():
context.run_migrations()
def run_migrations_online():
"""Run migrations in 'online' mode.
In this scenario we need to create an Engine
and associate a connection with the context.
"""
connectable = engine_from_config(
config.get_section(config.config_ini_section),
prefix="sqlalchemy.",
poolclass=pool.NullPool,
)
with connectable.connect() as connection:
is_sqlite = connection.dialect.name == 'sqlite'
context.configure(
connection=connection,
target_metadata=target_metadata,
render_as_batch=is_sqlite, # Important for SQLite
compare_type=True,
)
with context.begin_transaction():
context.run_migrations()
if context.is_offline_mode():
run_migrations_offline()
else:
run_migrations_online()

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migrations/script.py.mako Normal file
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"""${message}
Revision ID: ${up_revision}
Revises: ${down_revision | comma,n}
Create Date: ${create_date}
"""
from alembic import op
import sqlalchemy as sa
${imports if imports else ""}
# revision identifiers, used by Alembic.
revision = ${repr(up_revision)}
down_revision = ${repr(down_revision)}
branch_labels = ${repr(branch_labels)}
depends_on = ${repr(depends_on)}
def upgrade():
${upgrades if upgrades else "pass"}
def downgrade():
${downgrades if downgrades else "pass"}

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"""Initial schema
Revision ID: 001
Revises:
Create Date: 2023-06-05
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = '001'
down_revision = None
branch_labels = None
depends_on = None
def upgrade():
# Create arbitrage_opportunities table
op.create_table(
'arbitrage_opportunities',
sa.Column('id', sa.Integer(), primary_key=True, index=True),
sa.Column('created_at', sa.DateTime(), default=sa.func.current_timestamp(), index=True),
sa.Column('token_address', sa.String(), index=True),
sa.Column('token_symbol', sa.String(), index=True),
sa.Column('source_dex', sa.String(), index=True),
sa.Column('target_dex', sa.String(), index=True),
sa.Column('source_price', sa.Float()),
sa.Column('target_price', sa.Float()),
sa.Column('price_difference', sa.Float()),
sa.Column('price_difference_percent', sa.Float(), index=True),
sa.Column('estimated_profit_usd', sa.Float()),
sa.Column('estimated_profit_token', sa.Float()),
sa.Column('max_trade_amount_usd', sa.Float()),
sa.Column('max_trade_amount_token', sa.Float()),
sa.Column('slippage_estimate', sa.Float()),
sa.Column('fees_estimate', sa.Float()),
sa.Column('is_viable', sa.Boolean(), default=False, index=True),
sa.Column('was_executed', sa.Boolean(), default=False, index=True)
)
# Create trades table
op.create_table(
'trades',
sa.Column('id', sa.Integer(), primary_key=True, index=True),
sa.Column('created_at', sa.DateTime(), default=sa.func.current_timestamp(), index=True),
sa.Column('opportunity_id', sa.Integer(), sa.ForeignKey("arbitrage_opportunities.id"), index=True),
sa.Column('token_address', sa.String(), index=True),
sa.Column('token_symbol', sa.String(), index=True),
sa.Column('source_dex', sa.String()),
sa.Column('target_dex', sa.String()),
sa.Column('input_amount', sa.Float()),
sa.Column('input_amount_usd', sa.Float()),
sa.Column('output_amount', sa.Float()),
sa.Column('output_amount_usd', sa.Float()),
sa.Column('profit_amount', sa.Float()),
sa.Column('profit_amount_usd', sa.Float()),
sa.Column('profit_percent', sa.Float()),
sa.Column('tx_signature', sa.String(), unique=True, index=True, nullable=True),
sa.Column('tx_status', sa.String(), index=True),
sa.Column('tx_error', sa.Text(), nullable=True)
)
# Create system_events table
op.create_table(
'system_events',
sa.Column('id', sa.Integer(), primary_key=True, index=True),
sa.Column('timestamp', sa.DateTime(), default=sa.func.current_timestamp(), index=True),
sa.Column('event_type', sa.String(), index=True),
sa.Column('component', sa.String(), index=True),
sa.Column('message', sa.Text()),
sa.Column('details', sa.Text(), nullable=True)
)
def downgrade():
op.drop_table('trades')
op.drop_table('system_events')
op.drop_table('arbitrage_opportunities')

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requirements.txt Normal file
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fastapi>=0.103.1
uvicorn>=0.23.2
sqlalchemy>=2.0.20
alembic>=1.12.0
pydantic>=2.3.0
pydantic-settings>=2.0.3
solana>=0.30.0
asyncio>=3.4.3
aiohttp>=3.8.5
loguru>=0.7.0
python-dotenv>=1.0.0
ruff>=0.0.292
httpx>=0.25.0
pytest>=7.4.2