Binance_Altcoin_Monitor/backend/app/db.py

import json
import sqlite3
from contextlib import contextmanager
from datetime import datetime
from pathlib import Path
from typing import Any

from .config import settings


def _ensure_db_dir() -> None:
    Path(settings.db_path).parent.mkdir(parents=True, exist_ok=True)


@contextmanager
def get_conn():
    _ensure_db_dir()
    conn = sqlite3.connect(settings.db_path)
    conn.row_factory = sqlite3.Row
    try:
        yield conn
        conn.commit()
    finally:
        conn.close()


def init_db() -> None:
    with get_conn() as conn:
        conn.executescript(
            """
            CREATE TABLE IF NOT EXISTS period_snapshots (
                id INTEGER PRIMARY KEY AUTOINCREMENT,
                period_type TEXT NOT NULL,
                period_start TEXT NOT NULL,
                period_end TEXT NOT NULL,
                snapshot_json TEXT NOT NULL,
                created_at TEXT NOT NULL,
                UNIQUE(period_type, period_start, period_end)
            );

            CREATE TABLE IF NOT EXISTS push_log (
                id INTEGER PRIMARY KEY AUTOINCREMENT,
                period_start TEXT NOT NULL,
                period_end TEXT NOT NULL,
                pushed_at TEXT NOT NULL,
                success INTEGER NOT NULL,
                message TEXT
            );

            CREATE TABLE IF NOT EXISTS daily_klines (
                symbol TEXT NOT NULL,
                open_time INTEGER NOT NULL,
                open REAL NOT NULL,
                high REAL NOT NULL,
                low REAL NOT NULL,
                close REAL NOT NULL,
                volume REAL NOT NULL,
                quote_volume REAL NOT NULL DEFAULT 0,
                updated_at TEXT NOT NULL,
                PRIMARY KEY (symbol, open_time)
            );

            CREATE INDEX IF NOT EXISTS idx_daily_klines_symbol
                ON daily_klines(symbol, open_time);

            CREATE TABLE IF NOT EXISTS kline_meta (
                symbol TEXT PRIMARY KEY,
                last_fetch_at TEXT NOT NULL,
                bar_count INTEGER NOT NULL
            );

            CREATE TABLE IF NOT EXISTS funding_history (
                symbol TEXT NOT NULL,
                funding_time INTEGER NOT NULL,
                funding_rate REAL NOT NULL,
                mark_price REAL NOT NULL DEFAULT 0,
                updated_at TEXT NOT NULL,
                PRIMARY KEY (symbol, funding_time)
            );

            CREATE INDEX IF NOT EXISTS idx_funding_history_symbol
                ON funding_history(symbol, funding_time);

            CREATE TABLE IF NOT EXISTS funding_meta (
                symbol TEXT PRIMARY KEY,
                last_fetch_at TEXT NOT NULL,
                bar_count INTEGER NOT NULL,
                last_funding_rate REAL NOT NULL DEFAULT 0,
                next_funding_time INTEGER NOT NULL DEFAULT 0
            );

            CREATE TABLE IF NOT EXISTS funding_current (
                symbol TEXT PRIMARY KEY,
                last_funding_rate REAL NOT NULL,
                next_funding_time INTEGER NOT NULL,
                mark_price REAL NOT NULL DEFAULT 0,
                updated_at TEXT NOT NULL
            );

            """
        )


def save_snapshot(
    period_type: str,
    period_start: datetime,
    period_end: datetime,
    data: list[dict[str, Any]],
) -> None:
    with get_conn() as conn:
        conn.execute(
            """
            INSERT INTO period_snapshots (period_type, period_start, period_end, snapshot_json, created_at)
            VALUES (?, ?, ?, ?, ?)
            ON CONFLICT(period_type, period_start, period_end) DO UPDATE SET
                snapshot_json = excluded.snapshot_json,
                created_at = excluded.created_at
            """,
            (
                period_type,
                period_start.isoformat(),
                period_end.isoformat(),
                json.dumps(data, ensure_ascii=False),
                datetime.now().isoformat(),
            ),
        )


def get_latest_snapshot(period_type: str) -> dict[str, Any] | None:
    with get_conn() as conn:
        row = conn.execute(
            """
            SELECT period_start, period_end, snapshot_json, created_at
            FROM period_snapshots
            WHERE period_type = ?
            ORDER BY period_end DESC
            LIMIT 1
            """,
            (period_type,),
        ).fetchone()
    if not row:
        return None
    return {
        "period_start": row["period_start"],
        "period_end": row["period_end"],
        "created_at": row["created_at"],
        "items": json.loads(row["snapshot_json"]),
    }


def log_push(period_start: str, period_end: str, success: bool, message: str = "") -> None:
    with get_conn() as conn:
        conn.execute(
            """
            INSERT INTO push_log (period_start, period_end, pushed_at, success, message)
            VALUES (?, ?, ?, ?, ?)
            """,
            (period_start, period_end, datetime.now().isoformat(), int(success), message),
        )


def save_daily_klines(symbol: str, candles: list[dict[str, Any]]) -> None:
    sym = symbol.upper()
    now = datetime.now().isoformat()
    with get_conn() as conn:
        for c in candles:
            conn.execute(
                """
                INSERT INTO daily_klines (
                    symbol, open_time, open, high, low, close, volume, quote_volume, updated_at
                ) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?)
                ON CONFLICT(symbol, open_time) DO UPDATE SET
                    open = excluded.open,
                    high = excluded.high,
                    low = excluded.low,
                    close = excluded.close,
                    volume = excluded.volume,
                    quote_volume = excluded.quote_volume,
                    updated_at = excluded.updated_at
                """,
                (
                    sym,
                    int(c["time"]),
                    float(c["open"]),
                    float(c["high"]),
                    float(c["low"]),
                    float(c["close"]),
                    float(c.get("volume", 0)),
                    float(c.get("quote_volume", 0)),
                    now,
                ),
            )
        conn.execute(
            """
            INSERT INTO kline_meta (symbol, last_fetch_at, bar_count)
            VALUES (?, ?, ?)
            ON CONFLICT(symbol) DO UPDATE SET
                last_fetch_at = excluded.last_fetch_at,
                bar_count = excluded.bar_count
            """,
            (sym, now, len(candles)),
        )


def get_daily_klines_from_db(symbol: str, limit: int) -> list[dict[str, Any]]:
    sym = symbol.upper()
    with get_conn() as conn:
        rows = conn.execute(
            """
            SELECT open_time, open, high, low, close, volume, quote_volume
            FROM daily_klines
            WHERE symbol = ?
            ORDER BY open_time DESC
            LIMIT ?
            """,
            (sym, limit),
        ).fetchall()
    rows = list(reversed(rows))
    return [
        {
            "time": int(r["open_time"]),
            "open": float(r["open"]),
            "high": float(r["high"]),
            "low": float(r["low"]),
            "close": float(r["close"]),
            "volume": float(r["volume"]),
            "quote_volume": float(r["quote_volume"]),
        }
        for r in rows
    ]


def get_kline_meta(symbol: str) -> dict[str, Any] | None:
    sym = symbol.upper()
    with get_conn() as conn:
        row = conn.execute(
            "SELECT last_fetch_at, bar_count FROM kline_meta WHERE symbol = ?",
            (sym,),
        ).fetchone()
    if not row:
        return None
    return {
        "last_fetch_at": row["last_fetch_at"],
        "bar_count": row["bar_count"],
    }


def save_funding_history(
    symbol: str,
    rows: list[dict[str, Any]],
    next_funding_time: int = 0,
) -> None:
    sym = symbol.upper()
    now = datetime.now().isoformat()
    last_rate = 0.0
    next_time = next_funding_time
    with get_conn() as conn:
        for r in rows:
            ft = int(r["time"])
            rate = float(r["rate"])
            mp = float(r.get("mark_price", 0))
            last_rate = rate
            conn.execute(
                """
                INSERT INTO funding_history (symbol, funding_time, funding_rate, mark_price, updated_at)
                VALUES (?, ?, ?, ?, ?)
                ON CONFLICT(symbol, funding_time) DO UPDATE SET
                    funding_rate = excluded.funding_rate,
                    mark_price = excluded.mark_price,
                    updated_at = excluded.updated_at
                """,
                (sym, ft, rate, mp, now),
            )
        if rows:
            conn.execute(
                """
                INSERT INTO funding_meta (symbol, last_fetch_at, bar_count, last_funding_rate, next_funding_time)
                VALUES (?, ?, ?, ?, ?)
                ON CONFLICT(symbol) DO UPDATE SET
                    last_fetch_at = excluded.last_fetch_at,
                    bar_count = excluded.bar_count,
                    last_funding_rate = excluded.last_funding_rate
                """,
                (sym, now, len(rows), last_rate, next_time),
            )


def get_funding_history_from_db(symbol: str, limit: int) -> list[dict[str, Any]]:
    sym = symbol.upper()
    with get_conn() as conn:
        rows = conn.execute(
            """
            SELECT funding_time, funding_rate, mark_price
            FROM funding_history
            WHERE symbol = ?
            ORDER BY funding_time DESC
            LIMIT ?
            """,
            (sym, limit),
        ).fetchall()
    rows = list(reversed(rows))
    return [
        {
            "time": int(r["funding_time"]),
            "rate": float(r["funding_rate"]),
            "rate_pct": float(r["funding_rate"]) * 100,
            "mark_price": float(r["mark_price"]),
        }
        for r in rows
    ]


def get_funding_meta(symbol: str) -> dict[str, Any] | None:
    sym = symbol.upper()
    with get_conn() as conn:
        row = conn.execute(
            """
            SELECT last_fetch_at, bar_count, last_funding_rate, next_funding_time
            FROM funding_meta WHERE symbol = ?
            """,
            (sym,),
        ).fetchone()
    if not row:
        return None
    return {
        "last_fetch_at": row["last_fetch_at"],
        "bar_count": row["bar_count"],
        "last_funding_rate": row["last_funding_rate"],
        "next_funding_time": row["next_funding_time"],
    }


def save_funding_current_bulk(data: dict[str, dict[str, Any]]) -> None:
    now = datetime.now().isoformat()
    with get_conn() as conn:
        for sym, info in data.items():
            conn.execute(
                """
                INSERT INTO funding_current (symbol, last_funding_rate, next_funding_time, mark_price, updated_at)
                VALUES (?, ?, ?, ?, ?)
                ON CONFLICT(symbol) DO UPDATE SET
                    last_funding_rate = excluded.last_funding_rate,
                    next_funding_time = excluded.next_funding_time,
                    mark_price = excluded.mark_price,
                    updated_at = excluded.updated_at
                """,
                (
                    sym.upper(),
                    float(info.get("lastFundingRate", 0) or 0),
                    int(info.get("nextFundingTime", 0) or 0),
                    float(info.get("markPrice", 0) or 0),
                    now,
                ),
            )


def was_pushed_today(period_start: str, period_end: str) -> bool:
    with get_conn() as conn:
        row = conn.execute(
            """
            SELECT 1 FROM push_log
            WHERE period_start = ? AND period_end = ? AND success = 1
            LIMIT 1
            """,
            (period_start, period_end),
        ).fetchone()
    return row is not None