"""Inbox helpers — attachment loading and resume text extraction."""

from __future__ import annotations

import base64
from pathlib import Path

from inbox.models import Inbox_Messages
from job.candidate.views import FileRead

_ATTACHMENTS_DIR=Path(__file__).resolve().parent/"decoded_attachments"


def resolve_attachment_path(path_str:str) -> Path:
    """Prefer stored path; fall back to basename under decoded_attachments."""
    path=Path(path_str.strip())
    if path.is_file():
        return path
    fallback=_ATTACHMENTS_DIR/path.name
    if fallback.is_file():
        return fallback
    return path


def load_message_files(message:Inbox_Messages) -> list[dict]:
    if not message.file_path:
        return []
    files=[]
    for path_str in message.file_path.split(","):
        path=resolve_attachment_path(path_str)
        if not path.is_file():
            continue
        try:
            raw=path.read_bytes()
        except OSError:
            continue
        files.append({
            "file_name":path.name,
            "content_base64":base64.b64encode(raw).decode("ascii"),
            "size":len(raw),
        })
    return files


async def extract_resume_text(file_paths:list[str]) -> tuple[str,str]:
    candidates=[resolve_attachment_path(p) for p in (file_paths or []) if p and p.strip()]
    existing=[p for p in candidates if p.is_file() and p.suffix.lower()==".pdf"]
    if not existing:
        return "","no PDF attachment to extract (.doc/.docx not supported)"

    texts=[]
    errors=[]
    for path in existing:
        try:
            raw=path.read_bytes()
            result=await FileRead(session=None,filename=path.name,file=raw).read_file()
            text=(result.get("text") or "").strip()
            if text:
                texts.append(text)
        except Exception as exc:
            errors.append(f"{path.name}: {exc}")

    if not texts:
        return "","; ".join(errors) if errors else "no text extracted from PDF"
    return "\n\n---\n\n".join(texts),""