#!/usr/bin/env python3
"""Build the `wiktionary_examples` source from the official Polish Wiktionary dump.

Extracts usage-example sections (`{{przykłady}}`) from Polish-language entries
of pl.wiktionary.org and emits a `.jsonl.zst` file in the format expected by
`src/build_dynaword.py` (fields: text / license / author).

Unlike most sources in this registry, this one is NOT routed through
SpeakLeash's redistribution — it is parsed directly from the Wikimedia dump.
The `provenance` field in sources.py records this.

One document = one headword; all its example sentences are concatenated,
newline-separated, in source order. Citation attribution found in
`{{źródło|...}}` templates is stripped from the text and written to a
side-car file for auditing (not part of the corpus).

Only the standard library is required for parsing; `zstandard` is used for
output compression (falls back to plain .jsonl with a warning).

Usage:
  # download the dump yourself, then:
  python3 src/fetch_wiktionary_examples.py \
      --dump plwiktionary-latest-pages-articles.xml.bz2 \
      

  # dump URL:
  # https://dumps.wikimedia.org/plwiktionary/latest/plwiktionary-latest-pages-articles.xml.bz2
"""
from __future__ import annotations

import argparse
import bz2
import html
import json
import re
import sys
from pathlib import Path
from xml.etree import ElementTree as ET

SOURCE_NAME = "wiktionary_examples"
LICENSE = "CC-BY-SA-3.0"
AUTHOR = "Wikimedia contributors"

# Gates mirrored from build_dynaword.py so the preview count matches the build.
MIN_CHARS = 200
MIN_EXAMPLE_CHARS = 10

# `== <headword> ({{język polski}}) ==` opens the Polish section of an entry.
PL_HEADING = re.compile(r"^==\s*(.+?)\s*\(\{\{język polski\}\}\)\s*==\s*$", re.M)
NEXT_HEADING = re.compile(r"^==[^=]", re.M)

# Blocks run until the next top-level `{{template}}` marker.
EXAMPLES_BLOCK = re.compile(
    r"\{\{przykłady\}\}(.*?)(?=\{\{[a-ząćęłńóśźż]+\}\}|\Z)", re.S
)
# Numbered lines: `: (1.1) <sentence>`
NUMBERED_LINE = re.compile(r"^:\s*\(([\d.]+)\)\s*(.+?)\s*$", re.M)
SENSE_NUMBER = re.compile(r"\(\d+\.\d+\)")

CITATION_FIELDS = ("autor", "tytuł", "tytul", "rozdział", "rozdzial", "rok", "isbn")


def split_templates(text: str) -> tuple[str, list[str]]:
    """Remove `{{...}}` spans, counting braces so nested templates are handled.

    A regex cannot do this correctly: `{{źródło|tytuł={{...}}}}` occurs in the
    dump and a non-greedy match closes at the wrong brace pair.
    """
    kept: list[str] = []
    removed: list[str] = []
    i = 0
    while i < len(text):
        if text.startswith("{{", i):
            depth, j = 0, i
            while j < len(text):
                if text.startswith("{{", j):
                    depth += 1
                    j += 2
                elif text.startswith("}}", j):
                    depth -= 1
                    j += 2
                    if depth == 0:
                        break
                else:
                    j += 1
            removed.append(text[i:j])
            i = j
        else:
            kept.append(text[i])
            i += 1
    return "".join(kept), removed


def describe_citation(template: str) -> str:
    """Flatten a `{{źródło|autor=…|tytuł=…}}` template into a readable string."""
    fields: dict[str, str] = {}
    for chunk in template.strip("{}").split("|")[1:]:
        if "=" in chunk:
            key, value = chunk.split("=", 1)
            fields[key.strip().lower()] = value.strip()
    parts = [fields[k] for k in CITATION_FIELDS if fields.get(k)]
    return " | ".join(parts)


def unlink(text: str) -> str:
    """`[[target|label]]` -> label, `[[word]]` -> word, external links -> label."""
    for _ in range(5):
        stripped = re.sub(r"\[\[([^\[\]|]*)\|(.*?)\]\]", r"\2", text)
        stripped = re.sub(r"\[\[([^\[\]|]+?)\]\]", r"\1", stripped)
        if stripped == text:
            break
        text = stripped
    # Safety net for malformed nesting, e.g. `[[zaskoczyć|zaskoczył[y]]]`.
    text = re.sub(r"\[\[[^\[\]]*?\|", "[[", text)
    text = text.replace("[[", "").replace("]]", "")
    text = re.sub(r"\[https?://\S+\s+([^\]]+)\]", r"\1", text)
    text = re.sub(r"\[https?://\S+\]", "", text)
    text = re.sub(r"https?://\S+", "", text)
    return text


def clean(text: str) -> str:
    """Strip wiki and HTML markup. Square brackets are kept deliberately:
    `[…]` marks an omission and `[= gloss]` an editorial insertion — both are
    philological convention inside quotations, not markup residue."""
    text = re.sub(r"<ref[^>]*>.*?</ref>", "", text, flags=re.S)
    text = re.sub(r"<ref[^>]*/>", "", text)
    text = re.sub(r"<[^>]+>", "", text)
    text = unlink(text)
    text = re.sub(r"'{2,}", "", text)
    text = html.unescape(html.unescape(text))   # some entities are double-encoded
    text = text.replace("\u00a0", " ")
    text = SENSE_NUMBER.sub("", text)
    text = re.sub(r"\s+", " ", text)
    return text.strip(" -–—•\t")


def polish_section(wikitext: str) -> tuple[str, str] | None:
    match = PL_HEADING.search(wikitext)
    if not match:
        return None
    headword = match.group(1).strip()
    rest = wikitext[match.end():]
    end = NEXT_HEADING.search(rest)
    if end:
        rest = rest[: end.start()]
    return headword, rest


def examples_and_citations(section: str) -> tuple[list[str], list[str]]:
    match = EXAMPLES_BLOCK.search(section)
    if not match:
        return [], []
    examples, citations = [], []
    for _, raw in NUMBERED_LINE.findall(match.group(1)):
        without_templates, templates = split_templates(raw)
        for template in templates:
            if template.startswith(("{{źródło", "{{zrodlo")):
                described = describe_citation(clean(template))
                if described:
                    citations.append(described)
        sentence = clean(without_templates)
        if len(sentence) >= MIN_EXAMPLE_CHARS:
            examples.append(sentence)
    return examples, sorted(set(citations))


def iter_pages(dump_path: Path):
    """Yield (namespace, wikitext) for every page, streaming the bz2 dump."""
    with bz2.open(dump_path, "rb") as handle:
        for _, element in ET.iterparse(handle, events=("end",)):
            if element.tag.rsplit("}", 1)[-1] != "page":
                continue
            values = {}
            for child in element.iter():
                tag = child.tag.rsplit("}", 1)[-1]
                if tag in ("ns", "text") and tag not in values:
                    values[tag] = child.text
            yield (values.get("ns") or "").strip(), values.get("text") or ""
            element.clear()


def main() -> None:
    parser = argparse.ArgumentParser(description=__doc__)
    parser.add_argument("--dump", required=True,
                        help="plwiktionary-latest-pages-articles.xml.bz2")
    parser.add_argument("--out", default=".",
                        help="directory to write <source>.jsonl.zst into")
    parser.add_argument("--min-chars", type=int, default=MIN_CHARS,
                        help=f"document length gate (default {MIN_CHARS}, "
                             "matching build_dynaword.py)")
    args = parser.parse_args()

    dump_path = Path(args.dump).expanduser()
    if not dump_path.exists():
        sys.exit(f"dump not found: {dump_path}")
    out_dir = Path(args.out).expanduser()
    out_dir.mkdir(parents=True, exist_ok=True)

    pages = entries = with_examples = with_citations = 0
    documents: list[tuple[str, str]] = []
    citation_index: list[dict] = []

    for namespace, wikitext in iter_pages(dump_path):
        pages += 1
        if pages % 100_000 == 0:
            print(f"  {pages:,} pages scanned, {entries:,} Polish entries",
                  flush=True)
        if namespace != "0":
            continue
        section = polish_section(wikitext)
        if section is None:
            continue
        entries += 1
        headword, body = section
        examples, citations = examples_and_citations(body)
        if not examples:
            continue
        with_examples += 1
        if citations:
            with_citations += 1
            citation_index.append({"headword": headword, "citations": citations})
        documents.append((headword, "\n".join(examples)))

    kept = [(h, t) for h, t in documents if len(t) >= args.min_chars]
    chars = sum(len(t) for _, t in kept)

    print()
    print(f"pages scanned:            {pages:,}")
    print(f"Polish entries:           {entries:,}")
    print(f"entries with examples:    {with_examples:,}")
    print(f"entries with attribution: {with_citations:,}")
    print(f"documents >= {args.min_chars} chars:  {len(kept):,}")
    print(f"characters:               {chars:,}")

    payload = "\n".join(
        json.dumps({"text": text, "license": LICENSE, "author": AUTHOR},
                   ensure_ascii=False)
        for _, text in kept
    ) + "\n"

    plain = out_dir / f"{SOURCE_NAME}.jsonl"
    plain.write_text(payload, encoding="utf-8")

    try:
        import zstandard as zstd
    except ImportError:
        print(f"\nwrote {plain} — install `zstandard` (or run `zstd {plain.name}`) "
              "to produce the .jsonl.zst the build expects")
    else:
        compressed = out_dir / f"{SOURCE_NAME}.jsonl.zst"
        compressed.write_bytes(zstd.ZstdCompressor(level=10).compress(
            payload.encode("utf-8")))
        plain.unlink()
        print(f"\nwrote {compressed}")

    audit = out_dir / f"{SOURCE_NAME}.citations.jsonl"
    audit.write_text(
        "\n".join(json.dumps(row, ensure_ascii=False) for row in citation_index) + "\n",
        encoding="utf-8",
    )
    print(f"wrote {audit} (attribution audit trail, not part of the corpus)")
    print()
    print(f"next: python3 src/build_dynaword.py --sources {SOURCE_NAME} "
          f"--speakleash-dir {out_dir} --out .")


if __name__ == "__main__":
    main()