import logging
from typing import Optional, List


class MetricsCalculator:
    def __init__(self):
        self.cvd_cumulative = 0.0
        self.obi_value = 0.0

        # --- per-bucket state ---
        self._b_ts_start: Optional[int] = None
        self._b_ts_end:   Optional[int] = None
        self._obi_o: Optional[float] = None
        self._obi_h: Optional[float] = None
        self._obi_l: Optional[float] = None
        self._obi_c: Optional[float] = None

        # final series rows: [ts_start, ts_end, obi_o, obi_h, obi_l, obi_c, cvd]
        self._series: List[List[float]] = []

    # ------------------------------
    # CVD
    # ------------------------------
    def update_cvd_from_trade(self, side: str, size: float) -> None:
        if side == "buy":
            volume_delta = float(size)
        elif side == "sell":
            volume_delta = -float(size)
        else:
            logging.warning(f"Unknown trade side '{side}', treating as neutral")
            volume_delta = 0.0
        self.cvd_cumulative += volume_delta

    # ------------------------------
    # OBI
    # ------------------------------
    def update_obi_from_book(self, total_bids: float, total_asks: float) -> None:
        self.obi_value = float(total_bids - total_asks)
        # update H/L/C if a bucket is open
        if self._b_ts_start is not None:
            v = self.obi_value
            if self._obi_o is None:
                self._obi_o = self._obi_h = self._obi_l = self._obi_c = v
            else:
                self._obi_h = max(self._obi_h, v)
                self._obi_l = min(self._obi_l, v)
                self._obi_c = v

    # ------------------------------
    # Bucket lifecycle
    # ------------------------------
    def begin_bucket(self, ts_start_ms: int, ts_end_ms: int) -> None:
        self._b_ts_start = int(ts_start_ms)
        self._b_ts_end   = int(ts_end_ms)
        v = float(self.obi_value)
        self._obi_o = self._obi_h = self._obi_l = self._obi_c = v

    def finalize_bucket(self) -> None:
        if self._b_ts_start is None or self._b_ts_end is None:
            return
        o = float(self._obi_o if self._obi_o is not None else self.obi_value)
        h = float(self._obi_h if self._obi_h is not None else self.obi_value)
        l = float(self._obi_l if self._obi_l is not None else self.obi_value)
        c = float(self._obi_c if self._obi_c is not None else self.obi_value)
        self._series.append([
            self._b_ts_start, self._b_ts_end, o, h, l, c, float(self.cvd_cumulative)
        ])
        # reset
        self._b_ts_start = self._b_ts_end = None
        self._obi_o = self._obi_h = self._obi_l = self._obi_c = None

    def add_flat_bucket(self, ts_start_ms: int, ts_end_ms: int) -> None:
        v = float(self.obi_value)
        self._series.append([
            int(ts_start_ms), int(ts_end_ms),
            v, v, v, v, float(self.cvd_cumulative)
        ])

    # ------------------------------
    # Output
    # ------------------------------
    def get_series(self):
        return self._series