Chris Amow
8c2ef80966
It was never in the enabled timeframes, so it held zero bars and produced no levels, but it still carried weight 8 in the scoring table and forced bucket_start to special-case a wall-clock ET anchor whose entire purpose was surviving DST transitions. That was the most intricate logic in session.py, maintained for a timeframe nobody used. Daily is now the only session-anchored bucket, which is a much easier rule to state and to keep correct. The DST parametrised tests go with it; the Sunday open and daily boundary cases remain. Manual-line tests move to 1h, so the weight assertions drop from 8 to 4. The plan document keeps its 4h examples — rewriting a dozen illustrative sentences would churn more than it clarifies — but the timeframe-roles section now records the removal so nothing reads as a spec to build. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
61 lines
1.3 KiB
Python
61 lines
1.3 KiB
Python
from dataclasses import asdict, dataclass
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from enum import Enum
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from typing import Any
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class Timeframe(str, Enum):
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M1 = "1m"
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M2 = "2m"
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M5 = "5m"
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M15 = "15m"
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M30 = "30m"
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H1 = "1h"
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D1 = "1d"
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@property
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def seconds(self) -> int:
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seconds = {
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self.M1: 60,
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self.M2: 120,
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self.M5: 300,
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self.M15: 900,
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self.M30: 1800,
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self.H1: 3600,
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}
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if self is self.D1:
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raise ValueError("1d is session-defined, not a fixed number of seconds")
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return seconds[self]
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@dataclass(slots=True)
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class Bar:
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tf: Timeframe
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t: int
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o: float
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h: float
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l: float
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c: float
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v: int
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closed: bool
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symbol: str
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source: str
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def to_dict(self) -> dict[str, Any]:
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value = asdict(self)
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value["tf"] = self.tf.value
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return value
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@classmethod
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def from_dict(cls, value: dict[str, Any]) -> "Bar":
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return cls(
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tf=Timeframe(value["tf"]),
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t=int(value["t"]),
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o=float(value["o"]),
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h=float(value["h"]),
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l=float(value["l"]),
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c=float(value["c"]),
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v=int(value.get("v") or 0),
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closed=bool(value["closed"]),
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symbol=str(value["symbol"]),
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source=str(value["source"]),
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)
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