"""Person register parsing, name splitting, alias resolution."""
import difflib
import re
import unicodedata
from collections import Counter
from dataclasses import dataclass, field
from enum import StrEnum

import config
import dates

_DIACRITIC_MAP = str.maketrans({"ä": "ae", "ö": "oe", "ü": "ue", "ß": "ss",
                                "Ä": "ae", "Ö": "oe", "Ü": "ue"})


def _strip_accents(s: str) -> str:
    s = s.translate(_DIACRITIC_MAP)
    s = unicodedata.normalize("NFKD", s)
    return "".join(c for c in s if not unicodedata.combining(c))


def slugify(last: str, first: str) -> str:
    raw = f"{last} {first}".strip()
    raw = _strip_accents(raw).lower()
    raw = re.sub(r"[^a-z0-9]+", "-", raw).strip("-")
    return raw or "unknown"


@dataclass
class Person:
    person_id: str
    last_name: str = ""
    first_name: str = ""
    maiden_name: str = ""
    title: str = ""
    nickname: str = ""
    extra_given_names: list[str] = field(default_factory=list)
    birth_date: str | None = None
    birth_date_raw: str = ""
    birth_place: str = ""
    death_date: str | None = None
    death_date_raw: str = ""
    death_place: str = ""
    spouse: str = ""
    generation: str = ""
    notes: str = ""
    aliases: list[str] = field(default_factory=list)
    provisional: bool = False


_QUOTED_RE = re.compile(r'^[""\']\s*(.+?)\s*[""\']$')


def parse_register(rows: list[dict]) -> list[Person]:
    people = []
    for r in rows:
        last = (r.get("last_name") or "").strip()
        if not last:
            continue
        given_raw = (r.get("first_name") or "").strip()
        givens = [g.strip() for g in given_raw.split(",") if g.strip()]
        first = givens[0] if givens else ""
        extra = givens[1:]

        spouse_raw = (r.get("spouse") or "").strip()
        nickname = ""
        m = _QUOTED_RE.match(spouse_raw)
        if m:
            nickname = m.group(1)
            spouse_raw = ""

        birth = dates.parse_date(r.get("birth_date") or "")
        death = dates.parse_date(r.get("death_date") or "")
        people.append(Person(
            person_id=slugify(last, first),
            last_name=last, first_name=first, maiden_name=(r.get("maiden_name") or "").strip(),
            nickname=nickname, extra_given_names=extra,
            birth_date=birth.iso, birth_date_raw=(r.get("birth_date") or "").strip(), birth_place=(r.get("birth_place") or "").strip(),
            death_date=death.iso, death_date_raw=(r.get("death_date") or "").strip(), death_place=(r.get("death_place") or "").strip(),
            spouse=spouse_raw, generation=(r.get("generation") or "").strip(),
            notes=(r.get("notes") or "").strip(), provisional=False,
        ))
    # De-duplicate colliding ids: every member of a colliding group gets a numeric suffix
    # (-1, -2, …) so no id is left as an ambiguous "base". Unique ids are untouched.
    counts = Counter(p.person_id for p in people)
    seen: dict[str, int] = {}
    for p in people:
        if counts[p.person_id] > 1:
            seen[p.person_id] = seen.get(p.person_id, 0) + 1
            p.person_id = f"{p.person_id}-{seen[p.person_id]}"
    return people


_GEB_RE = re.compile(r",?\s*geb\.?\s+.+$", re.I)
_PAREN_RE = re.compile(r"\(([^)]+)\)\s*$")
_MULTI_RE = re.compile(r"\s+(?:und|u)\s+", re.I)


def find_known_last_name(segment: str) -> str | None:
    seg = segment.strip()
    for ln in config.KNOWN_LAST_NAMES:  # config lists longest-first
        if seg == ln or seg.endswith(" " + ln):
            return ln
    return None


def split_receivers(raw: str) -> list[str]:
    if not raw or not raw.strip():
        return []
    # 0. split on "//"
    if "//" in raw:
        out = []
        for seg in raw.split("//"):
            out.extend(split_receivers(seg))
        return out
    cleaned = _GEB_RE.sub("", raw).strip()
    if not cleaned:            # e.g. a "geb. Müller"-only cell strips to empty
        return []
    if not _MULTI_RE.search(cleaned):
        return [cleaned]
    shared_last = None
    pm = _PAREN_RE.search(cleaned)
    if pm:
        shared_last = pm.group(1).strip()
        cleaned = cleaned[:pm.start()].strip()
    parts = [p.strip() for p in _MULTI_RE.split(cleaned)]
    parts = [p for p in parts if p and p.lower() != "familie"]
    if not parts:
        return []
    if len(parts) == 1:
        return [parts[0]]
    if shared_last:
        return [p if " " in p else f"{p} {shared_last}" for p in parts]
    last_seg = parts[-1]
    detected = find_known_last_name(last_seg)
    if detected:
        result = []
        for p in parts[:-1]:
            if " " not in p and find_known_last_name(p) is None:
                result.append(f"{p} {detected}")
            else:
                result.append(p)
        result.append(last_seg)
        return result
    return parts


def _norm(name: str) -> str:
    return re.sub(r"\s+", " ", _strip_accents(name).lower().replace(".", " ")).strip()


class NameClass(StrEnum):
    RESOLVABLE = "resolvable"
    UNKNOWN = "unknown"
    SINGLE_TOKEN = "single_token"
    RELATIONAL = "relational"
    COLLECTIVE = "collective"
    PROSE = "prose"
    AMBIGUOUS_PAIR = "ambiguous_pair"


_QUOTE_CHARS = "\"'\u201c\u201d\u201e\u201a\u2018\u2019"


def classify_name(raw: str, given_names: set[str]) -> NameClass:
    """Classify a (post-split) sender/receiver string by why it may be unresolvable.

    Precedence (first match wins): UNKNOWN -> PROSE -> COLLECTIVE -> RELATIONAL ->
    SINGLE_TOKEN -> AMBIGUOUS_PAIR -> RESOLVABLE.
    """
    s = raw.strip()
    if not s:
        return NameClass.RESOLVABLE
    low = s.lower()
    tokens = s.split()
    # alpha-only word tokens: "Fam.Cram" -> ["fam","cram"], so collective/relational terms
    # are matched as whole words (no substring/prefix false positives like "Allerton").
    alpha_words = re.findall(r"[a-zäöüß]+", low)
    if "?" in s or any(m in low for m in config.UNKNOWN_NAME_MARKERS):
        return NameClass.UNKNOWN
    if (len(s) > config.PROSE_MAX_LEN or any(c.isdigit() for c in s)
            or any(q in s for q in _QUOTE_CHARS) or len(tokens) > 3):
        return NameClass.PROSE
    if any(w in config.COLLECTIVE_TERMS for w in alpha_words):
        return NameClass.COLLECTIVE
    if any(w in config.RELATIONAL_TERMS for w in alpha_words):
        return NameClass.RELATIONAL
    if len(tokens) == 1:
        return NameClass.SINGLE_TOKEN
    if len(tokens) == 2 and all(_norm(t) in given_names for t in tokens):
        return NameClass.AMBIGUOUS_PAIR
    return NameClass.RESOLVABLE


# Known limitation: a 4+-token name with no digits/quotes (e.g. "Anna von der Heide") is
# classified PROSE. Such multi-particle names are rare here and usually resolve via the
# register; if they surface in review, lower-priority than the real prose entries.


def build_given_names(register: list[Person], extra: set[str]) -> set[str]:
    """Set of normalized given names from the register (first + extra given) plus a supplement.

    Used by classify_name to tell a two-given-name pair (two people) from a first+surname.
    """
    names: set[str] = set()
    for p in register:
        if p.first_name:
            names.add(_norm(p.first_name))
        for g in p.extra_given_names:
            names.add(_norm(g))
    for e in extra:
        names.add(_norm(e))
    return names


class AliasIndex:
    def __init__(self, people: list[Person]):
        self._by_alias: dict[str, str] = {}
        self._display: dict[str, str] = {}
        self.known_ids: set[str] = {p.person_id for p in people}
        first_name_ids: dict[str, list] = {}
        for p in people:
            self._display[p.person_id] = f"{p.first_name} {p.last_name}".strip()
            # Ordered, de-duplicated forms (NOT a set) so alias order is deterministic — NFR-IDEM-01.
            forms = [f"{p.first_name} {p.last_name}".strip()]
            if p.maiden_name:
                forms.append(f"{p.first_name} {p.maiden_name}".strip())
            for extra in p.extra_given_names:
                forms.append(f"{extra} {p.last_name}".strip())
            if p.nickname:
                forms.append(p.nickname)
            seen = set()
            for form in forms:
                if form in seen:
                    continue
                seen.add(form)
                key = _norm(form)
                if key and key not in self._by_alias:
                    self._by_alias[key] = p.person_id
                    p.aliases.append(form)
            if p.first_name:
                ids = first_name_ids.setdefault(_norm(p.first_name), [])
                if p.person_id not in ids:
                    ids.append(p.person_id)
        # first-name-only alias, only when unambiguous
        for fname, ids in first_name_ids.items():
            if len(ids) == 1 and fname not in self._by_alias:
                self._by_alias[fname] = ids[0]

    def resolve(self, name: str):
        return self._by_alias.get(_norm(name))

    def display(self, person_id: str) -> str:
        return self._display.get(person_id, "")

    def suggest(self, name: str):
        keys = list(self._by_alias.keys())
        match = difflib.get_close_matches(_norm(name), keys, n=1, cutoff=config.FUZZY_SUGGEST_THRESHOLD)
        if not match:
            return None, 0.0
        score = difflib.SequenceMatcher(None, _norm(name), match[0]).ratio()
        return self._by_alias[match[0]], score


class ResolutionContext:
    """Resolves raw name strings to person ids; accumulates provisional persons and review data."""
    def __init__(self, alias_index: AliasIndex, name_overrides: dict[str, str],
                 given_names: set[str] | None = None):
        self.index = alias_index
        self.name_overrides = name_overrides
        self.given_names = given_names or set()
        self.provisional: dict[str, Person] = {}
        self.unmatched: dict[str, list] = {}
        self.unresolved: list[tuple] = []   # (raw_name, category, source_row) for non-RESOLVABLE names
        self._raw_to_pid: dict[str, str] = {}
        self.override_hits = 0

    def _unique_id(self, base: str) -> str:
        """A provisional id must never collide with a register id or another provisional."""
        used = self.index.known_ids | set(self.provisional)
        pid, n = base, 1
        while pid in used:
            n += 1
            pid = f"{base}-{n}"
        return pid

    def resolve_one(self, raw_name: str, source_row: int):
        """Return (person_id, display_name, matched: bool). '' name -> ('', '', True)."""
        name = (raw_name or "").strip()
        if not name:
            return "", "", True
        if name in self.name_overrides:
            self.override_hits += 1
            pid = self.name_overrides[name]
            return pid, self.index.display(pid) or name, True
        pid = self.index.resolve(name)
        if pid:
            return pid, self.index.display(pid) or name, True
        # provisional person (unmatched) — never reuse a register id
        self.unmatched.setdefault(name, []).append(source_row)
        category = classify_name(name, self.given_names)
        if category is not NameClass.RESOLVABLE:
            self.unresolved.append((name, str(category), source_row))
        if name in self._raw_to_pid:
            return self._raw_to_pid[name], name, False
        last, first = _last_first(name)
        pid = self._unique_id(slugify(last, first))
        self.provisional[pid] = Person(person_id=pid, last_name=last, first_name=first, provisional=True)
        self._raw_to_pid[name] = pid
        return pid, name, False

    def resolve_sender(self, raw: str, source_row: int):
        """Senders are split like receivers (REQ-PERS-01). Primary = first part; multi flagged."""
        parts = split_receivers(raw)
        if not parts:
            return "", "", True, False
        pid, name, matched = self.resolve_one(parts[0], source_row)
        for extra in parts[1:]:
            self.resolve_one(extra, source_row)  # register the others as persons too
        return pid, name, matched, len(parts) > 1

    def resolve_receivers(self, raw: str, source_row: int):
        return [self.resolve_one(part, source_row) for part in split_receivers(raw)]


def _last_first(name: str):
    """Best-effort split of a free name string into (last, first) for slug/provisional building."""
    name = name.strip()
    ln = find_known_last_name(name)
    if ln:
        first = name[: -len(ln)].strip()
        return ln, first
    tokens = name.split()
    if len(tokens) >= 2:
        return tokens[-1], " ".join(tokens[:-1])
    return name, ""