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13686de581
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e6662ccde5
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e6662ccde5 | ||
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fef69fa4ba |
@@ -0,0 +1,4 @@
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__pycache__/
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*.pyc
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.venv/
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.env
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@@ -0,0 +1,93 @@
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import logging
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from typing import Optional
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from fastapi import APIRouter, Depends, HTTPException, Query
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from sqlalchemy import select
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from sqlalchemy.ext.asyncio import AsyncSession
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from app.api.dependencies import get_db_session
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from app.models.entities import KlineModel, TradeModel
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logger = logging.getLogger(__name__)
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kline_router = APIRouter(prefix="/v1/charts")
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@kline_router.get("/klines")
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async def get_market_klines(
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market_address: str = Query(..., description="预测市场合约地址"),
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outcome_index: int = Query(0, description="结果选项序号 (0-based)"),
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timeframe: str = Query("5s", description="时间粒度: 1s, 5s, 1m, 1h"),
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limit: int = Query(1000, le=5000, description="返回的最大 K 线根数"),
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db: AsyncSession = Depends(get_db_session),
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):
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"""
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【TradingView 标准 OHLCV K 线历史接口】
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返回由 Indexer 从链上真实成交事件确定性聚合的 K 线。
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无成交历史时返回空数组(绝不生成假数据)。
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"""
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m_addr = market_address.lower()
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# 当前仅支持 5 秒基准聚合(Indexer 按 5s 窗口写入),其他粒度在后续版本扩展
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rows = (
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await db.execute(
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select(KlineModel)
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.where(
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KlineModel.market_address == m_addr,
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KlineModel.outcome_index == outcome_index,
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)
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.order_by(KlineModel.bar_time.asc())
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.limit(limit)
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)
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).scalars().all()
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bars = [
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{
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"time": row.bar_time,
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"open": float(row.open),
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"high": float(row.high),
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"low": float(row.low),
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"close": float(row.close),
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"volume": float(row.volume),
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}
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for row in rows
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]
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return {
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"market": m_addr,
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"outcome_index": outcome_index,
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"timeframe": timeframe,
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"has_trades": len(bars) > 0,
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"bars": bars,
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}
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@kline_router.get("/trades")
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async def get_market_trades(
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market_address: str = Query(..., description="预测市场合约地址"),
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outcome_index: int = Query(0, description="结果选项序号 (0-based)"),
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limit: int = Query(100, le=500),
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db: AsyncSession = Depends(get_db_session),
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):
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"""真实链上逐笔成交明细(由 Indexer 写入)"""
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m_addr = market_address.lower()
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rows = (
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await db.execute(
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select(TradeModel)
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.where(
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TradeModel.market_address == m_addr,
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TradeModel.outcome_index == outcome_index,
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)
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.order_by(TradeModel.ts.desc())
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.limit(limit)
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)
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).scalars().all()
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trades = [
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{
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"tx_hash": row.tx_hash,
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"type": row.trade_type,
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"price": float(row.price),
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"volume": float(row.volume),
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"block_number": row.block_number,
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"ts": row.ts,
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}
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for row in rows
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]
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return {"market": m_addr, "outcome_index": outcome_index, "trades": trades}
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+2
-2
@@ -9,8 +9,8 @@ class Settings(BaseSettings):
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# 环境:development, staging, production
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ENVIRONMENT: str = "development"
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# 数据库配置 (PostgreSQL)
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DATABASE_URL: str = "postgresql+asyncpg://postgres:postgres@localhost:5432/wtfx"
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# 数据库配置 (PostgreSQL) — 与 docker-compose / indexer 保持一致
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DATABASE_URL: str = "postgresql+asyncpg://wtfx_user:wtfx_pass@localhost:5432/wtfx_db"
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# Redis 配置
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REDIS_URL: str = "redis://localhost:6379/0"
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+12
@@ -4,6 +4,9 @@ from fastapi import FastAPI, WebSocket, WebSocketDisconnect
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from fastapi.middleware.cors import CORSMiddleware
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from app.config import settings
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from app.api.routes.api import api_router
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from app.api.routes.charts import kline_router
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from app.api.dependencies import engine
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from app.models.entities import Base
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from app.ws.manager import ws_manager
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logging.basicConfig(level=logging.INFO, format="%(asctime)s [%(levelname)s] %(name)s: %(message)s")
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@@ -12,8 +15,16 @@ logger = logging.getLogger("WTFX-Backend")
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@asynccontextmanager
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async def lifespan(app: FastAPI):
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logger.info(f"Starting {settings.PROJECT_NAME} v{settings.VERSION} [{settings.ENVIRONMENT}]")
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# 幂等建表(含 Indexer 写入的 klines/trades),避免依赖外部建表步骤
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try:
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async with engine.begin() as conn:
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await conn.run_sync(Base.metadata.create_all)
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logger.info("Database tables ensured.")
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except Exception as e:
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logger.error(f"Failed to ensure database tables: {e}")
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yield
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logger.info("Shutting down WTFX Backend service...")
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await engine.dispose()
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app = FastAPI(
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title=settings.PROJECT_NAME,
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@@ -33,6 +44,7 @@ app.add_middleware(
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# 注册 API 路由
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app.include_router(api_router, prefix="/api")
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app.include_router(kline_router, prefix="/api")
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# WebSocket 实时订阅端点
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@app.websocket("/ws/market/{market_address}")
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@@ -118,3 +118,38 @@ class OrderModel(Base):
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fee = Column(Numeric(precision=36, scale=18), default=Decimal("0"), nullable=False)
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tx_hash = Column(String(66), nullable=True)
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created_at = Column(DateTime, default=datetime.utcnow, nullable=False)
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class TradeModel(Base):
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"""链上真实成交明细 (由 Indexer 确定性投影写入)"""
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__tablename__ = "trades"
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id = Column(BigInteger().with_variant(Integer, "sqlite"), primary_key=True, autoincrement=True)
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tx_hash = Column(String(66), nullable=True, index=True)
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market_address = Column(String(42), nullable=False, index=True)
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outcome_index = Column(BigInteger, nullable=False)
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trade_type = Column(String(8), nullable=False) # "MINT" | "REDEEM"
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price = Column(Numeric(precision=36, scale=18), nullable=False)
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volume = Column(Numeric(precision=36, scale=18), nullable=False)
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block_number = Column(BigInteger, nullable=True)
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ts = Column(BigInteger, nullable=True, index=True)
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__table_args__ = (
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Index("idx_trades_market_ts", "market_address", "outcome_index", "ts"),
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)
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class KlineModel(Base):
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"""秒级 OHLCV K 线 (由 Indexer 按 5 秒窗口确定性聚合写入)"""
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__tablename__ = "klines"
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market_address = Column(String(42), primary_key=True)
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outcome_index = Column(BigInteger, primary_key=True)
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bar_time = Column(BigInteger, primary_key=True)
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open = Column(Numeric(precision=36, scale=18), nullable=False)
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high = Column(Numeric(precision=36, scale=18), nullable=False)
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low = Column(Numeric(precision=36, scale=18), nullable=False)
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close = Column(Numeric(precision=36, scale=18), nullable=False)
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volume = Column(Numeric(precision=36, scale=18), nullable=False)
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__table_args__ = (
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Index("idx_klines_market_time", "market_address", "outcome_index", "bar_time"),
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)
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