conjurer/latex_functions.py

# latex_functions.py
# -*- coding: utf-8 -*-
from __future__ import annotations
import asyncio, os, re, shlex, tempfile, zipfile
from pathlib import Path
from typing import Tuple, List, Dict, Optional

from openai import OpenAI

SAFE_TEX_NAME = re.compile(r"^[\w\-. ]+\.tex$", re.IGNORECASE)

def is_safe_tex_name(name: str) -> bool:
    return bool(SAFE_TEX_NAME.match(name or "")) and name.lower().endswith(".tex")

def is_tex_attachment(att, max_mb: int) -> bool:
    """Filtruje discord.Attachment: tylko .tex + limit MB + nazwa bezpieczna."""
    return bool(
        getattr(att, "filename", "") and
        is_safe_tex_name(att.filename) and
        getattr(att, "size", 0) <= max_mb * 1024 * 1024
    )

async def run_latex_two_passes(tex_filename: str, workdir: Path, tex_engine: str, timeout_sec: int, logger=None) -> Tuple[bool, str, Path]:
    cmd = f'{tex_engine} -interaction=nonstopmode -halt-on-error -file-line-error -no-shell-escape {shlex.quote(tex_filename)}'
    if logger: logger.debug("LaTeX cmd: %s (cwd=%s)", cmd, workdir)

    async def _run_once() -> Tuple[int, str]:
        proc = await asyncio.create_subprocess_shell(
            cmd, cwd=str(workdir),
            stdout=asyncio.subprocess.PIPE, stderr=asyncio.subprocess.STDOUT
        )
        try:
            out_b, _ = await asyncio.wait_for(proc.communicate(), timeout=timeout_sec)
            out_t = (out_b or b"").decode("utf-8", errors="replace")
            return proc.returncode or 0, out_t
        except asyncio.TimeoutError:
            try: proc.kill()
            except Exception: pass
            return 124, f"[Timeout] Compilation exceeded {timeout_sec}s.\n"

    logs: List[str] = []
    rc1, out1 = await _run_once(); logs.append(out1)
    if rc1 != 0:
        log_text = "".join(logs)
        if logger: logger.debug("LaTeX pass1 FAIL %s\n%s", tex_filename, log_text[-2000:])
        return False, log_text, workdir / (Path(tex_filename).stem + ".pdf")

    rc2, out2 = await _run_once(); logs.append(out2)
    log_text = "".join(logs)
    pdf = workdir / (Path(tex_filename).stem + ".pdf")
    ok = (rc2 == 0) and pdf.exists()
    if logger: logger.debug("LaTeX pass2 %s ok=%s\n%s", tex_filename, ok, log_text[-2000:])
    return ok, log_text, pdf

async def compile_single_tex_bytes(tex_bytes: bytes, filename: str, tex_engine: str, timeout_sec: int, logger=None) -> Dict[str, Optional[object]]:
    if not is_safe_tex_name(filename):
        return {'ok': False, 'pdf_bytes': None, 'log_text': 'Invalid .tex filename', 'pdf_name': None}
    with tempfile.TemporaryDirectory(prefix="latex_one_") as td:
        wd = Path(td)
        tex_path = wd / filename
        tex_path.write_bytes(tex_bytes)
        ok, log_text, pdf_path = await run_latex_two_passes(filename, wd, tex_engine, timeout_sec, logger=logger)
        if ok and pdf_path.exists():
            return {'ok': True, 'pdf_bytes': pdf_path.read_bytes(), 'log_text': log_text, 'pdf_name': pdf_path.name}
        return {'ok': False, 'pdf_bytes': None, 'log_text': log_text, 'pdf_name': pdf_path.name}

async def compile_zip_to_zip(zip_bytes: bytes, tex_engine: str, timeout_sec: int, logger=None) -> Tuple[bytes, List[str]]:
    failed: List[str] = []; out_pdf_paths: List[Path] = []
    with tempfile.TemporaryDirectory(prefix="latex_zip_") as td:
        td_path = Path(td)
        in_zip = td_path / "in.zip"; in_zip.write_bytes(zip_bytes)
        extract_dir = td_path / "in"; extract_dir.mkdir(parents=True, exist_ok=True)
        with zipfile.ZipFile(in_zip, 'r') as zf: zf.extractall(extract_dir)

        tex_files = [p for p in extract_dir.rglob("*.tex") if is_safe_tex_name(p.name)]
        if not tex_files:
            return b"", ["No .tex files found in archive."]

        for tex in tex_files:
            try:
                work = td_path / f"build_{tex.stem}"; work.mkdir(parents=True, exist_ok=True)
                target_tex = work / tex.name; target_tex.write_bytes(tex.read_bytes())
                ok, log_text, pdf_path = await run_latex_two_passes(target_tex.name, work, tex_engine, timeout_sec, logger=logger)
                if ok and pdf_path.exists():
                    out_pdf_paths.append(pdf_path)
                else:
                    failed.append(tex.name)
                    if logger: logger.debug("BATCH FAIL %s\n%s", tex.name, log_text[-1500:])
            except Exception as e:
                failed.append(f"{tex.name} (exception: {e})")
                if logger: logger.debug("BATCH EXC %s: %s", tex.name, e)

        out_zip = td_path / "compiled_pdfs.zip"
        with zipfile.ZipFile(out_zip, "w", compression=zipfile.ZIP_DEFLATED) as zf:
            for pdf in out_pdf_paths:
                zf.write(pdf, arcname=pdf.name)

        return out_zip.read_bytes(), failed

async def ask_openai_diagnosis(log_text: str, tex_excerpt: str, api_key: str, model: str, logger=None) -> str:
    if not api_key:
        return "⚠️ Brak OPENAI_API_KEY — pomijam diagnozę."
    client = OpenAI(api_key=api_key)
    sys = ("You are a LaTeX build diagnostician. Analyze pdflatex log and return:\n"
           "1) Root causes (bullets)\n2) Minimal working fix (code block)\n3) Alternative fix")
    usr = f"---LOG---\n{log_text[-9000:]}\n---END LOG---"
    if tex_excerpt:
        usr += f"\n---TEX EXCERPT---\n{tex_excerpt[:4000]}\n---END EXCERPT---"
    try:
        if model.startswith("gpt-3.5"):
            def _legacy():
                resp = client.chat.completions.create(model=model, messages=[{"role":"system","content":sys},{"role":"user","content":usr}], temperature=0.1)
                return resp.choices[0].message.content.strip()
            return await asyncio.to_thread(_legacy)
        def _resp():
            r = client.responses.create(model=model, temperature=0.1, input=[{"role":"system","content":sys},{"role":"user","content":usr}])
            return (getattr(r,"output_text",None) or "").strip() or str(r)
        return await asyncio.to_thread(_resp)
    except Exception as e:
        if logger: logger.debug("OpenAI error: %s", e)
        return f"⚠️ OpenAI API error: {e}"