prisma-web3-py 0.1.8

Python/SQLAlchemy async implementation of Prisma Web3 database models

Prisma Web3 Python Package

Python/SQLAlchemy async implementation of Prisma Web3 database models with Repository pattern.

Features

• ✨ Async SQLAlchemy 2.0 - Modern async database operations
• 🗄️ Repository Pattern - Clean, testable data access layer
• 🔄 Auto Configuration - Loads DATABASE_URL from .env automatically
• 🔗 Same Schema as JS - Works with the same PostgreSQL database as TypeScript/Prisma
• 📦 Easy Integration - Can be imported into any Python project
• 🎯 Type Hints - Full type annotation support
• 🧪 Testable - Built for unit and integration testing

Quick Start

Installation

cd python
pip install -e .

Configuration

Create a .env file:

DATABASE_URL=postgresql://user:password@localhost:5432/prisma_web3

Basic Usage

import asyncio
from prisma_web3_py import get_db
from prisma_web3_py.repositories import TokenRepository, SignalRepository

async def main():
    token_repo = TokenRepository()
    signal_repo = SignalRepository()

    async with get_db() as session:
        # Query tokens
        tokens = await token_repo.get_verified_tokens(
            session,
            chain="ethereum",
            limit=10
        )

        # Query signals
        signals = await signal_repo.get_recent_signals(
            session,
            signal_type="buy",
            hours=24
        )

        print(f"Found {len(tokens)} tokens and {len(signals)} signals")

if __name__ == "__main__":
    asyncio.run(main())

Architecture

prisma_web3_py/
├── __init__.py          # Package entry point, exports main functions
├── config.py            # Configuration management (loads from .env)
├── database.py          # Async database setup and session management
├── base.py              # SQLAlchemy declarative base
├── models/              # Database models (Token, Signal, etc.)
│   ├── __init__.py
│   ├── token.py
│   ├── signal.py
│   ├── pre_signal.py
│   └── smart_wallet.py
└── repositories/        # Repository pattern implementations
    ├── __init__.py
    ├── base_repository.py
    ├── token_repository.py
    └── signal_repository.py

Available Models

All 8 models match the TypeScript/Prisma package:

• Token - Cryptocurrency token information and metadata
• Signal - Trading signals with occurrence tracking
• PreSignal - Pre-signals for token analysis
• TokenMetrics - Market metrics and statistics
• TokenAnalysisReport - AI-generated analysis reports
• TokenPriceMonitor - Price monitoring tasks
• TokenPriceHistory - Historical price data points
• Groups - Telegram group management

Repositories

TokenRepository

token_repo = TokenRepository()

# Get token by address
token = await token_repo.get_by_address(session, "ethereum", "0x...")

# Upsert token
token_id = await token_repo.upsert_token(session, token_data)

# Get verified tokens
tokens = await token_repo.get_verified_tokens(session, chain="ethereum")

# Search tokens
results = await token_repo.search_tokens(session, "ETH")

# Get top scored tokens
top = await token_repo.get_top_scored_tokens(session, min_score=50)

# Update token score
success = await token_repo.update_token_score(
    session, "ethereum", "0x...", score=75.5
)

SignalRepository

signal_repo = SignalRepository()

# Get recent signals
signals = await signal_repo.get_recent_signals(
    session, signal_type="buy", hours=24
)

# Upsert signal
signal = await signal_repo.upsert_signal(
    session, "ethereum", "0x...", "dexscreener", "buy"
)

# Get signals for token
signals = await signal_repo.get_signal_by_token(
    session, "ethereum", "0x..."
)

# Get trending tokens
trending = await signal_repo.get_trending_tokens_by_signals(
    session, hours=24, limit=20
)

# Get signal counts by type
counts = await signal_repo.get_signal_counts_by_type(session, hours=24)

Integration Examples

FastAPI

from fastapi import FastAPI, Depends
from sqlalchemy.ext.asyncio import AsyncSession
from prisma_web3_py import get_db, init_db
from prisma_web3_py.repositories import TokenRepository

app = FastAPI()

@app.on_event("startup")
async def startup():
    await init_db()

@app.get("/tokens/{chain}")
async def get_tokens(
    chain: str,
    session: AsyncSession = Depends(get_db)
):
    token_repo = TokenRepository()
    tokens = await token_repo.get_verified_tokens(session, chain=chain)
    return [token.to_dict() for token in tokens]

Standalone Script

import asyncio
from prisma_web3_py import get_db
from prisma_web3_py.repositories import TokenRepository

async def process_tokens():
    token_repo = TokenRepository()

    async with get_db() as session:
        tokens = await token_repo.get_all(session, limit=100)

        for token in tokens:
            print(f"Processing {token.symbol}...")
            # Your logic here

asyncio.run(process_tokens())

Background Tasks (Celery)

from celery import Celery
from prisma_web3_py import AsyncSessionLocal
from prisma_web3_py.repositories import TokenRepository
import asyncio

celery_app = Celery('tasks', broker='redis://localhost:6379')

@celery_app.task
def update_scores():
    asyncio.run(async_update_scores())

async def async_update_scores():
    token_repo = TokenRepository()
    async with AsyncSessionLocal() as session:
        # Your async logic here
        await session.commit()

Transaction Management

The package provides automatic transaction management:

async with get_db() as session:
    try:
        # Multiple operations
        await token_repo.upsert_token(session, data1)
        await signal_repo.upsert_signal(session, data2)
        # Auto-commits on success
    except Exception:
        # Auto-rollback on error
        raise

Comparison with JS/TypeScript

Feature	TypeScript (Prisma)	Python (SQLAlchemy)
Connection	new PrismaClient()	get_db() context manager
Query	prisma.token.findMany()	token_repo.get_all(session)
Upsert	prisma.token.upsert()	token_repo.upsert_token(session, data)
Relations	include: { signals: true }	selectinload(Token.signals)
Transactions	prisma.$transaction()	async with get_db()
Type Safety	TypeScript types	Python type hints

Testing

import pytest
from sqlalchemy.ext.asyncio import create_async_engine, AsyncSession
from sqlalchemy.orm import sessionmaker
from prisma_web3_py.base import Base
from prisma_web3_py.repositories import TokenRepository

@pytest.fixture
async def test_db():
    engine = create_async_engine("sqlite+aiosqlite:///:memory:")
    async with engine.begin() as conn:
        await conn.run_sync(Base.metadata.create_all)

    async_session = sessionmaker(engine, class_=AsyncSession)
    async with async_session() as session:
        yield session
    await engine.dispose()

@pytest.mark.asyncio
async def test_token_operations(test_db):
    token_repo = TokenRepository()
    token = await token_repo.create(
        test_db,
        chain="ethereum",
        token_address="0x123",
        symbol="TEST"
    )
    assert token.symbol == "TEST"

Documentation

• Integration Guide - How to use in your projects
• Migration Guide - Migrate from TypeScript/Prisma
• Examples - Code examples and patterns

Requirements

• Python 3.8+
• PostgreSQL 12+
• SQLAlchemy 2.0+
• asyncpg (PostgreSQL async driver)

Development

# Install dependencies
pip install -r requirements.txt

# Install in development mode
pip install -e .

# Run examples
python examples/async_usage.py

Environment Variables

Variable	Description	Default
DATABASE_URL	PostgreSQL connection URL	Required

The package automatically converts postgresql:// to postgresql+asyncpg:// for async support.

License

MIT

Related Projects

• TypeScript/Prisma Package: @smallcat/prisma-web3 (npm)
• Database Schema: Shared PostgreSQL schema