# -*- coding: utf-8 -*-
"""Kuratierte öffentliche Medikamenten- und Korrektur-Starterliste (de-CH).

Keine erfundenen Medikamentennamen. Keine ATC-Codes ohne sichere Quelle.
Nur Schreibhilfe für Transkription/Korrektur — keine Therapieempfehlung.
"""

from __future__ import annotations

from typing import Any, Dict, List, Optional, Tuple

MARKET_REGION = "de-CH"
LANGUAGE = "de"

# (brand_name, active_substance | None)
_MEDICATION_PAIRS: Tuple[Tuple[str, Optional[str]], ...] = (
    ("Dafalgan", "Paracetamol"),
    ("Paracetamol", None),
    ("Ibuprofen", None),
    ("Ponstan", "Mefenaminsäure"),
    ("Mefenaminsäure", None),
    ("Voltaren", "Diclofenac"),
    ("Diclofenac", None),
    ("Irfen", "Ibuprofen"),
    ("Algifor", "Ibuprofen"),
    ("Novalgin", "Metamizol"),
    ("Metamizol", None),
    ("Amoxicillin", None),
    ("Augmentin", "Co-Amoxicillin"),
    ("Co-Amoxicillin", None),
    ("Clarithromycin", None),
    ("Azithromycin", None),
    ("Doxycyclin", None),
    ("Dalacin", "Clindamycin"),
    ("Clindamycin", None),
    ("Fucidin", "Fusidinsäure"),
    ("Fusidinsäure", None),
    ("Bactroban", "Mupirocin"),
    ("Mupirocin", None),
    ("Betadine", None),
    ("Octenisept", None),
    ("Ialugen", None),
    ("Flammazine", None),
    ("Dermovate", "Clobetasol"),
    ("Clobetasol", None),
    ("Diprosalic", "Betamethason"),
    ("Betamethason", None),
    ("Elocom", "Mometason"),
    ("Mometason", None),
    ("Advantan", "Methylprednisolonaceponat"),
    ("Methylprednisolonaceponat", None),
    ("Protopic", "Tacrolimus"),
    ("Tacrolimus", None),
    ("Elidel", "Pimecrolimus"),
    ("Pimecrolimus", None),
    ("Roaccutan", "Isotretinoin"),
    ("Isotretinoin", None),
    ("Tretinac", "Isotretinoin"),
    ("Toctino", "Alitretinoin"),
    ("Alitretinoin", None),
    ("Telfast", "Fexofenadin"),
    ("Fexofenadin", None),
    ("Bilaxten", "Bilastin"),
    ("Bilastin", None),
    ("Xolair", "Omalizumab"),
    ("Omalizumab", None),
    ("Dupixent", "Dupilumab"),
    ("Dupilumab", None),
    ("Tremfya", "Guselkumab"),
    ("Guselkumab", None),
    ("Skyrizi", "Risankizumab"),
    ("Risankizumab", None),
    ("Cosentyx", "Secukinumab"),
    ("Secukinumab", None),
    ("Stelara", "Ustekinumab"),
    ("Ustekinumab", None),
    ("Ilumetri", "Tildrakizumab"),
    ("Tildrakizumab", None),
    ("Humira", "Adalimumab"),
    ("Adalimumab", None),
    ("Enbrel", "Etanercept"),
    ("Etanercept", None),
    ("Methotrexat", None),
    ("Folsäure", None),
    ("Ciclosporin", None),
    ("Aciclovir", None),
    ("Valaciclovir", None),
    ("Zovirax", "Aciclovir"),
    ("Valtrex", "Valaciclovir"),
    ("Lamisil", "Terbinafin"),
    ("Terbinafin", None),
    ("Itraconazol", None),
    ("Fluconazol", None),
    ("Canesten", "Clotrimazol"),
    ("Clotrimazol", None),
    ("Nizoral", "Ketoconazol"),
    ("Ketoconazol", None),
    ("Skabimed", "Permethrin"),
    ("Permethrin", None),
    ("Stromectol", "Ivermectin"),
    ("Ivermectin", None),
)

# Eindeutige Schreibfehler → korrekte Schreibweise (Wortgrenzen in apply_korrekturen)
PUBLIC_CORRECTION_VARIANTS: Dict[str, str] = {
    "Daffalgan": "Dafalgan",
    "Tremfia": "Tremfya",
    "Fuzidin": "Fucidin",
    "Clobetazol": "Clobetasol",
    "Fusidinsaeure": "Fusidinsäure",
    "Fusidinsäure": "Fusidinsäure",
    "Methotrexate": "Methotrexat",
}


def _make_item_id(prefix: str, *parts: str) -> str:
    import hashlib
    blob = "|".join(p.strip().lower() for p in parts if p)
    return f"{prefix}_{hashlib.sha256(blob.encode('utf-8')).hexdigest()[:16]}"


def build_public_medication_entries() -> List[Dict[str, Any]]:
    """Öffentliche Medikamenten-Referenzeinträge (AzA-kuratiert)."""
    out: List[Dict[str, Any]] = []
    seen: set[str] = set()
    for brand, substance in _MEDICATION_PAIRS:
        key = brand.lower()
        if key in seen:
            continue
        seen.add(key)
        entry: Dict[str, Any] = {
            "item_id": _make_item_id("pubmed", brand),
            "scope": "public",
            "category": "medication",
            "term": brand,
            "preferred_spelling": brand,
            "variants": [],
            "language": LANGUAGE,
            "market_region": MARKET_REGION,
            "source": "aza_curated",
            "confidence": "high",
            "active": True,
            "brand_name": brand,
            "status": "published",
        }
        if substance:
            entry["active_substance"] = substance
            entry["note"] = f"{brand} ({substance})"
        out.append(entry)
    return out


def build_public_correction_entries() -> List[Dict[str, Any]]:
    """Öffentliche Korrekturpaare als Bibliothekseinträge."""
    out: List[Dict[str, Any]] = []
    for wrong, right in PUBLIC_CORRECTION_VARIANTS.items():
        if wrong.lower() == right.lower():
            continue
        cat = "medication" if wrong[0].isupper() else "medical_term"
        out.append({
            "item_id": _make_item_id("pubcorr", wrong, right),
            "scope": "public",
            "category": cat,
            "term": wrong,
            "preferred_spelling": right,
            "variants": [wrong],
            "language": LANGUAGE,
            "market_region": MARKET_REGION,
            "source": "aza_curated",
            "confidence": "high",
            "active": True,
            "status": "published",
        })
    return out


def get_public_library_entries() -> List[Dict[str, Any]]:
    return build_public_medication_entries() + build_public_correction_entries()


def get_public_korrektur_mappings() -> Dict[str, Dict[str, str]]:
    """Für apply_korrekturen: {kategorie: {falsch: richtig}} — nur Korrekturvarianten."""
    med: Dict[str, str] = {}
    begriffe: Dict[str, str] = {}
    for wrong, right in PUBLIC_CORRECTION_VARIANTS.items():
        if wrong.lower() == right.lower():
            continue
        tgt = med if wrong[0].isupper() else begriffe
        tgt[wrong] = right
    out: Dict[str, Dict[str, str]] = {}
    if med:
        out["medikamente"] = med
    if begriffe:
        out["begriffe"] = begriffe
    return out