Create unit_utils.py
Browse files- core/unit_utils.py +101 -0
core/unit_utils.py
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| 1 |
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# core/unit_utils.py
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from __future__ import annotations
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import re
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from typing import Dict, Any, Tuple, List
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# 単位→換算(円基準)
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UNIT_SCALE = {
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"円": 1.0,
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"千円": 1e3,
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"万円": 1e4,
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"百万円": 1e6,
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"千万円": 1e7,
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"億円": 1e8,
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"十億円": 1e10,
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# 英語表現
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"thousands of yen": 1e3,
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"thousand yen": 1e3,
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"in thousands of yen": 1e3,
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"millions of yen": 1e6,
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"in millions of yen": 1e6,
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"jpy in thousands": 1e3,
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"jpy in millions": 1e6,
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}
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# よく使うパターンを包括的に
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_PATTERNS = [
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r"単位[::\s]*?(千円|百万円|万円|円|千万円|億円|十億円)",
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r"(?:Amounts?|Figures?)\s+in\s+(thousands|millions)\s+of\s+yen",
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r"(?:JPY|YEN)\s+in\s+(thousands|millions)",
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r"(?:in\s+)?(thousands|millions)\s+of\s+yen",
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]
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def detect_unit_scale(text: str) -> Tuple[float, str, List[str]]:
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"""
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テキストから単位を推定し (scale, label, hits) を返す。
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見つからない場合は (1.0, '円', [])。
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複数ヒット時は多数決→先勝で決定。
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"""
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hits: List[str] = []
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t = text.lower()
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for pat in _PATTERNS:
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for m in re.finditer(pat, text, flags=re.IGNORECASE):
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g = m.group(1).lower()
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if g in ("千円", "百万円", "万円", "円", "千万円", "億円", "十億円"):
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hits.append(g)
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elif g in ("thousands", "thousand"):
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hits.append("thousands of yen")
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elif g in ("millions", "million"):
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hits.append("millions of yen")
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if not hits:
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return 1.0, "円", []
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# 多数決
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from collections import Counter
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cnt = Counter(hits)
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label = cnt.most_common(1)[0][0]
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# ラベル正規化(日本語優先)
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if label in ("thousands of yen", "thousand yen", "in thousands of yen", "jpy in thousands"):
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label = "千円"
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if label in ("millions of yen", "in millions of yen", "jpy in millions"):
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label = "百万円"
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scale = UNIT_SCALE.get(label, 1.0)
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return scale, label, hits
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def _scale_number(v: Any, scale: float) -> Any:
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if v is None:
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return None
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try:
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f = float(v)
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except Exception:
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return v
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return f * scale
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def apply_unit_scale(fin: Dict[str, Any], scale: float) -> Dict[str, Any]:
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"""
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抽出JSON(balance_sheet / income_statement / cash_flows の数値)に換算を適用。
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比率などが混ざるケースを想定し、-1~1の狭い値はそのまま残す (誤変換防止)。
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"""
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def maybe_scale(x):
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if x is None:
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return None
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try:
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f = float(x)
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except Exception:
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return x
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# 典型的な比率やマージンらしき小さい値はスキップ
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if -1.0 <= f <= 1.0 and scale > 1:
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return f
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return f * scale
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out = {k: (v.copy() if isinstance(v, dict) else v) for k, v in fin.items()}
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for sec in ("balance_sheet", "income_statement", "cash_flows"):
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d = out.get(sec, {})
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if isinstance(d, dict):
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for k, v in d.items():
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d[k] = maybe_scale(v)
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out[sec] = d
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return out
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