"""Text chunking — strategies per source kind.

All strategies return list[dict] with keys:
    chunk_index, heading_path, section_ref, content, token_count, page_number
"""

from __future__ import annotations

import re
from dataclasses import dataclass
from typing import Literal

# Page marker sentinel embedded by the PDF parser (api/services/kb/ingest.py
# _page_marker). Format: \x00KB_PAGE:<N>\x00 where N is 1-indexed.
# _build_page_map returns a list of (offset, page_number) for each marker so
# the chunker can attach the right page to any chunk by position — _strip_page_markers
# then removes the sentinels from chunk.content.
_PAGE_MARKER_RE = re.compile(r"\x00KB_PAGE:(\d+)\x00")


def _build_page_map(text: str) -> list[tuple[int, int]]:
    """Return sorted [(offset, page_number), …] of every marker in `text`."""
    return [(m.start(), int(m.group(1))) for m in _PAGE_MARKER_RE.finditer(text)]


def _page_for_offset(page_map: list[tuple[int, int]], offset: int) -> int | None:
    """Last-seen page number at or before `offset`. None if nothing earlier."""
    if not page_map:
        return None
    lo, hi = 0, len(page_map) - 1
    best: int | None = None
    while lo <= hi:
        mid = (lo + hi) // 2
        mark_off, mark_page = page_map[mid]
        if mark_off <= offset:
            best = mark_page
            lo = mid + 1
        else:
            hi = mid - 1
    return best

# Approx tokens per char for Hebrew/mixed text (voyage-multilingual-2 tokenizer).
# Voyage tends to split Hebrew into 1.5-2 tokens per word; 0.55 tokens/char
# is a conservative estimate that matches what the API actually reports.
_TOKENS_PER_CHAR = 0.55

# Hard safety ceiling per chunk. Voyage accepts up to 32K tokens per item,
# and a batch is capped at 120K tokens. Keep chunks small so batches fit.
_MAX_TOKENS_PER_CHUNK = 1500

# Hierarchy markers in Israeli statutes. Each regex captures the full heading line
# and is ordered from largest container to smallest. The section-level match
# (_RE_SECTION) also captures the section number and optional sub-letter.
#
# Hebrew ordinal numbers: "א", "ב", … "ט׳", "י״א", "י״ב", … "ט״ז", etc.
# Pattern: one or two Hebrew letters with optional gershayim/geresh between them,
# and optionally followed by a trailing geresh.
_HEB_ORD = r"[א-ת](?:[\"״][א-ת])?[׳'\"]?"

_RE_PART = re.compile(rf"(?m)^\s*חלק\s+({_HEB_ORD})\s*[:\-–—]?\s*(.*?)\s*$")
_RE_CHAPTER = re.compile(rf"(?m)^\s*פרק\s+({_HEB_ORD})\s*[:\-–—]?\s*(.*?)\s*$")
_RE_SUBCHAPTER = re.compile(rf"(?m)^\s*סימן\s+({_HEB_ORD})\s*[:\-–—]?\s*(.*?)\s*$")
# Section header: "סעיף 12.", "12א.", "תקנה 5.", at start of a line, followed by
# optional sub-letter "(ב)" and then a dot / colon / dash, then either EOL or
# real Hebrew/English text (NOT a row of dots / a phone number / more digits).
#
# The key change vs the original: the tail `[\.:\-–—]` must be followed by
# at least one letter within the same short lookahead. This filters out:
#   - phone numbers like "02-6709701"
#   - table-of-contents rows like "3 . . . . . . . . . . . . . . ."
#   - page-number-only lines like "23."
# while still catching real section headers like "סעיף 12. הגדרות" or
# "195. חישוב קצבת נכות".
_RE_SECTION = re.compile(
    r"(?m)^\s*(?:סעיף\s+|תקנה\s+|§\s*)"  # prefix is now REQUIRED (one of סעיף / תקנה / §)
    r"(\d+[א-ת]?)\s*(?:\(([א-ת\d]+)\))?"
    r"\s*[\.:\-–—]\s*"
    r"(?=[^\d\.\s])"  # next non-space char must not be digit/dot — i.e. real text follows
)

_STATUTE_MARKERS = [
    ("part", _RE_PART),
    ("chapter", _RE_CHAPTER),
    ("subchapter", _RE_SUBCHAPTER),
    ("section", _RE_SECTION),
]

# Header in circulars — markdown-ish headings, or numbered "נושא: ..." / "מס' N. ..."
_HEADER_RE = re.compile(
    r"(?m)^\s*(?:#{1,4}\s+|מס['׳]\s*\d+\s*[\.\:]\s*|[A-Zא-ת][^\n]{0,80}\:\s*$)",
)


@dataclass
class Chunk:
    chunk_index: int
    heading_path: str
    section_ref: str
    content: str
    token_count: int
    page_number: int | None = None


def _count_tokens(text: str) -> int:
    return max(1, int(len(text) * _TOKENS_PER_CHAR))


def _strip_page_markers(text: str) -> tuple[str, int | None]:
    """Remove page markers from `text` and return the FIRST page number seen.

    Only useful as a fallback when the chunker didn't attach a page via
    offset math. Markers that show up mid-content (e.g. a section that
    spans pages) would resolve to the spanning page rather than the
    chunk's starting page — so prefer c.page_number (the caller's
    offset-derived value) and fall back to this only when that is None.
    """
    first_page: int | None = None
    m = _PAGE_MARKER_RE.search(text)
    if m:
        try:
            first_page = int(m.group(1))
        except ValueError:
            first_page = None
    return _PAGE_MARKER_RE.sub("", text), first_page


def _as_dicts(chunks: list[Chunk]) -> list[dict]:
    result: list[dict] = []
    for c in chunks:
        clean, page_in_body = _strip_page_markers(c.content)
        # _split_oversized may slice a piece in the middle of a marker
        # sentinel, leaving a stray \x00 that PostgreSQL's UTF-8 check
        # rejects. Drop any surviving null bytes.
        clean = clean.replace("\x00", "")
        # Prefer the page the caller computed from the chunk's START offset
        # (the "where does this quote begin" answer). Only fall back to any
        # marker inside the body if the caller didn't set one.
        page = c.page_number if c.page_number is not None else page_in_body
        result.append({
            "chunk_index": c.chunk_index,
            "heading_path": c.heading_path or None,
            "section_ref": c.section_ref or None,
            "content": clean.strip(),
            "token_count": c.token_count,
            "page_number": page,
        })
    return result


def _split_oversized(chunks: list[Chunk]) -> list[Chunk]:
    """Split any chunk whose token_count exceeds the ceiling into fixed-size pieces.

    Preserves heading_path/section_ref on each piece and re-indexes.
    Page numbers are re-derived per piece by scanning the parent chunk's
    content for markers: the parent's own page_number is treated as a
    virtual marker at offset 0, and any real \\x00KB_PAGE:N\\x00 markers
    preserved in content advance the active page from that point onward.
    """
    max_chars = int(_MAX_TOKENS_PER_CHUNK / _TOKENS_PER_CHAR)
    result: list[Chunk] = []
    for c in chunks:
        if c.token_count <= _MAX_TOKENS_PER_CHUNK:
            c.chunk_index = len(result)
            result.append(c)
            continue
        text = c.content
        local_map = _build_page_map(text)
        # Virtual marker at offset 0 so pieces before the first real marker
        # inherit the parent's known page.
        if c.page_number is not None and (not local_map or local_map[0][0] > 0):
            local_map = [(0, c.page_number)] + local_map
        for start in range(0, len(text), max_chars):
            piece = text[start : start + max_chars]
            result.append(
                Chunk(
                    chunk_index=len(result),
                    heading_path=c.heading_path,
                    section_ref=c.section_ref,
                    content=piece,
                    token_count=_count_tokens(piece),
                    page_number=_page_for_offset(local_map, start) or c.page_number,
                )
            )
    return result


def _collect_markers(text: str) -> list[dict]:
    """Collect all hierarchy markers from the text, sorted by position.

    Each marker carries: {level, start, end, number, title, heading}.
    level ∈ {'chapter', 'subchapter', 'section'}.
    """
    markers: list[dict] = []
    for level, rx in _STATUTE_MARKERS:
        for m in rx.finditer(text):
            g1 = m.group(1) if m.groups() else ""
            if level == "section":
                number = g1
                sub = m.group(2) if m.lastindex and m.lastindex >= 2 else None
                ref = f"ס' {number}" + (f"({sub})" if sub else "")
                heading = ref
                title = ""
            else:
                prefix = {"part": "חלק", "chapter": "פרק", "subchapter": "סימן"}[level]
                title = m.group(2).strip() if m.lastindex and m.lastindex >= 2 else ""
                number = g1
                ref = f"{prefix} {number}"
                heading = f"{ref}{(' — ' + title) if title else ''}"
            markers.append({
                "level": level,
                "start": m.start(),
                "end": m.end(),
                "number": number,
                "ref": ref,
                "heading": heading,
                "title": title,
            })
    markers.sort(key=lambda x: x["start"])
    return markers


def chunk_statute(text: str) -> list[Chunk]:
    """Law / regulation: one chunk per section, with hierarchical heading_path.

    heading_path format: "חלק ט' — ביטוח נכות > פרק ב' > סימן א' > ס' 195(א)".
    section_ref stays the leaf ("ס' 195(א)") for precise citation.

    Returns Chunk objects with page markers still embedded in content.
    chunk() calls _split_oversized next, which uses those markers to
    compute per-piece page numbers, and _as_dicts finally strips them.
    """
    text = text.strip("\n ")
    if not text:
        return []

    page_map = _build_page_map(text)

    markers = _collect_markers(text)
    section_markers = [m for m in markers if m["level"] == "section"]
    if not section_markers:
        return [Chunk(
            0, "", "", text, _count_tokens(text),
            page_number=_page_for_offset(page_map, 0),
        )]

    # Walk markers in order, tracking the active part/chapter/subchapter.
    active_part: dict | None = None
    active_chapter: dict | None = None
    active_subchapter: dict | None = None

    chunks: list[Chunk] = []
    for i, m in enumerate(markers):
        if m["level"] == "part":
            active_part = m
            active_chapter = None
            active_subchapter = None
            continue
        if m["level"] == "chapter":
            active_chapter = m
            active_subchapter = None
            continue
        if m["level"] == "subchapter":
            active_subchapter = m
            continue
        # section marker
        start = m["start"]
        end = markers[i + 1]["start"] if i + 1 < len(markers) else len(text)
        content = text[start:end].strip()
        if not content:
            continue
        parts: list[str] = []
        if active_part:
            parts.append(active_part["heading"])
        if active_chapter:
            parts.append(active_chapter["heading"])
        if active_subchapter:
            parts.append(active_subchapter["heading"])
        parts.append(m["ref"])
        heading_path = " > ".join(parts)
        chunks.append(
            Chunk(
                chunk_index=len(chunks),
                heading_path=heading_path,
                section_ref=m["ref"],
                content=content,
                token_count=_count_tokens(content),
                page_number=_page_for_offset(page_map, start),
            )
        )
    return chunks


def chunk_circular(
    text: str,
    target_tokens: int = 600,
    overlap_tokens: int = 80,
) -> list[Chunk]:
    """Circular: header-aware split, then pack paragraphs up to target size with overlap.

    Returns Chunk objects with page markers still embedded in content.
    Each sub-chunk's page_number is derived from the absolute offset of
    the first paragraph it contains — so chunks that start mid-document
    reflect the correct page, not the segment's opening page.
    """
    text = text.strip("\n ")
    if not text:
        return []

    page_map = _build_page_map(text)
    target_chars = int(target_tokens / _TOKENS_PER_CHAR)
    overlap_chars = int(overlap_tokens / _TOKENS_PER_CHAR)

    headers = list(_HEADER_RE.finditer(text))
    # (heading, body_raw_with_markers, body_start_offset_in_text)
    segments: list[tuple[str, str, int]] = []
    if not headers:
        segments.append(("", text, 0))
    else:
        if headers[0].start() > 0:
            segments.append(("", text[: headers[0].start()], 0))
        for i, h in enumerate(headers):
            end = headers[i + 1].start() if i + 1 < len(headers) else len(text)
            heading = h.group(0).strip().rstrip(":").lstrip("#").strip()
            body_raw = text[h.end() : end]
            if body_raw.strip():
                segments.append((heading, body_raw, h.end()))

    # Paragraph regex: one or more non-empty lines with no blank line between them.
    _PARA_RE = re.compile(r"[^\n]+(?:\n(?!\n)[^\n]+)*")

    chunks: list[Chunk] = []
    for heading, body_raw, body_start in segments:
        body = body_raw.strip()
        seg_page = _page_for_offset(page_map, body_start)
        if len(body) <= target_chars:
            chunks.append(
                Chunk(
                    chunk_index=len(chunks),
                    heading_path=heading,
                    section_ref=heading,
                    content=body,
                    token_count=_count_tokens(body),
                    page_number=seg_page,
                )
            )
            continue

        # Collect paragraphs with their absolute offsets in the original text.
        paragraphs: list[tuple[str, int]] = []
        for pm in _PARA_RE.finditer(body_raw):
            p_text = pm.group(0).strip()
            if p_text:
                paragraphs.append((p_text, body_start + pm.start()))

        buf = ""
        buf_abs_start: int | None = None
        for p_text, p_abs in paragraphs:
            if buf and len(buf) + len(p_text) + 2 > target_chars:
                chunks.append(
                    Chunk(
                        chunk_index=len(chunks),
                        heading_path=heading,
                        section_ref=heading,
                        content=buf.strip(),
                        token_count=_count_tokens(buf),
                        page_number=(
                            _page_for_offset(page_map, buf_abs_start)
                            if buf_abs_start is not None else seg_page
                        ),
                    )
                )
                # Overlap: keep last N chars of prior buf, then start fresh at p.
                # The new buf's "start page" is the new paragraph's page — the
                # overlap tail is treated as prefix context, not page anchor.
                buf = (buf[-overlap_chars:] + "\n\n" + p_text) if overlap_chars > 0 else p_text
                buf_abs_start = p_abs
            else:
                if not buf:
                    buf_abs_start = p_abs
                buf = f"{buf}\n\n{p_text}" if buf else p_text
        if buf.strip():
            chunks.append(
                Chunk(
                    chunk_index=len(chunks),
                    heading_path=heading,
                    section_ref=heading,
                    content=buf.strip(),
                    token_count=_count_tokens(buf),
                    page_number=(
                        _page_for_offset(page_map, buf_abs_start)
                        if buf_abs_start is not None else seg_page
                    ),
                )
            )

    return chunks


def chunk(text: str, kind: Literal["law", "regulation", "circular"]) -> list[dict]:
    if kind in ("law", "regulation"):
        chunks = chunk_statute(text)
    else:
        chunks = chunk_circular(text)
    # _split_oversized uses page markers still embedded in content to derive
    # per-piece page numbers; _as_dicts then strips markers and emits the
    # final serializable shape.
    return _as_dicts(_split_oversized(chunks))