39 lines
1.3 KiB
Python
39 lines
1.3 KiB
Python
from __future__ import annotations
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from typing import Any
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from app.lab.calc.nutrients import parse_num
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from app.lab.constants import NORM_COLUMN_ALIASES, RATION_QUALITY_INDICATORS
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def merge_norms_from_profile(profile_data: Any, ration_type: str) -> dict[str, dict[str, float | None]]:
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del ration_type
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if not profile_data or not isinstance(profile_data, dict):
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return {}
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indicators = profile_data.get("indicators")
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if isinstance(indicators, dict):
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out: dict[str, dict[str, float | None]] = {}
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for key, bounds in indicators.items():
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if not isinstance(bounds, dict):
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continue
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out[str(key)] = {
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"min": parse_num(bounds.get("min")),
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"max": parse_num(bounds.get("max")),
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}
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return out
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out = {}
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for defn in RATION_QUALITY_INDICATORS:
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key = defn["key"]
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aliases = NORM_COLUMN_ALIASES.get(key)
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if not aliases:
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continue
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for alias in aliases:
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entry = profile_data.get(alias)
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if isinstance(entry, dict):
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out[key] = {
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"min": parse_num(entry.get("min")),
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"max": parse_num(entry.get("max")),
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}
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break
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return out
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