from __future__ import annotations

from typing import Any

from app.modules.zootech.lab.calc.nutrients import parse_num
from app.modules.zootech.lab.constants import NORM_COLUMN_ALIASES, RATION_QUALITY_INDICATORS


def merge_norms_from_profile(profile_data: Any, ration_type: str) -> dict[str, dict[str, float | None]]:
    del ration_type
    if not profile_data or not isinstance(profile_data, dict):
        return {}
    indicators = profile_data.get("indicators")
    if isinstance(indicators, dict):
        out: dict[str, dict[str, float | None]] = {}
        for key, bounds in indicators.items():
            if not isinstance(bounds, dict):
                continue
            out[str(key)] = {
                "min": parse_num(bounds.get("min")),
                "max": parse_num(bounds.get("max")),
            }
        return out
    out = {}
    for defn in RATION_QUALITY_INDICATORS:
        key = defn["key"]
        aliases = NORM_COLUMN_ALIASES.get(key)
        if not aliases:
            continue
        for alias in aliases:
            entry = profile_data.get(alias)
            if isinstance(entry, dict):
                out[key] = {
                    "min": parse_num(entry.get("min")),
                    "max": parse_num(entry.get("max")),
                }
                break
    return out