#!/usr/bin/env python3
from __future__ import annotations

import argparse
from pathlib import Path

from vault_common import ROOT, all_records, json_print, rel, search_records, split_frontmatter, tokenize

INBOX_DIRS = [ROOT / "00 Inbox", ROOT / "01 Ideas"]
LIBRARY_HINTS = {
    "ansible": "90 Library/DevOps/Ansible",
    "ci": "90 Library/DevOps",
    "cd": "90 Library/DevOps",
    "cicd": "90 Library/DevOps",
    "docker": "90 Library/Containers/Docker",
    "git": "90 Library/DevOps",
    "gitlab": "90 Library/DevOps",
    "jenkins": "90 Library/DevOps",
    "kubernetes": "90 Library/Containers/Kubernetes",
    "linux": "90 Library/Linux",
    "nginx": "90 Library/HomeLab/Proxy",
    "rails": "90 Library/Programming/Ruby On Rails",
    "ruby": "90 Library/Programming/Ruby",
    "terraform": "90 Library/DevOps",
}


def read_path(path_arg: str) -> Path:
    path = Path(path_arg)
    if not path.is_absolute():
        path = ROOT / path
    return path


def scan() -> list[dict[str, object]]:
    items = []
    for directory in INBOX_DIRS:
        if not directory.exists():
            continue
        for path in sorted(directory.iterdir(), key=lambda item: item.name.lower()):
            if path.name == ".gitkeep" or not path.is_file():
                continue
            text = path.read_text(encoding="utf-8", errors="replace") if path.suffix == ".md" else ""
            fm, body, _ = split_frontmatter(text)
            items.append(
                {
                    "path": rel(path),
                    "folder": rel(directory),
                    "suffix": path.suffix,
                    "title": fm.get("title") or path.stem,
                    "tags": fm.get("tags") or [],
                    "bytes": path.stat().st_size,
                    "classification": classify_text(path, body, fm),
                }
            )
    return items


def classify_text(path: Path, body: str, frontmatter: dict[str, object]) -> dict[str, object]:
    tags = frontmatter.get("tags") or []
    if not isinstance(tags, list):
        tags = [tags]
    content = f"{path.stem}\n{' '.join(map(str, tags))}\n{body[:4000]}".lower()
    tokens = tokenize(content)

    idea_markers = {"идея", "idea", "business", "product", "стартап", "концепция", "задумка"}
    if "01 Ideas" in rel(path) or tokens & idea_markers:
        kind = "idea"
        destination = "01 Ideas"
    else:
        kind = "library"
        destination = "90 Library/Other"
        for marker, folder in LIBRARY_HINTS.items():
            if marker in content:
                destination = folder
                break

    return {
        "kind": kind,
        "destination": destination,
        "confidence": "heuristic",
    }


def plan(path: Path) -> dict[str, object]:
    text = path.read_text(encoding="utf-8", errors="replace")
    fm, body, _ = split_frontmatter(text)
    classification = classify_text(path, body, fm)
    records = all_records()
    terms = " ".join([path.stem, str(fm.get("title") or ""), " ".join(map(str, fm.get("tags") or []))])
    similar = []
    for item in search_records(records, terms, limit=30):
        if item["path"] == rel(path):
            continue
        if item["path"].startswith(("03 Journal/", "99 System/Export/", "99 System/Cache/", "99 System/Template/")):
            continue
        similar.append(item)
        if len(similar) == 8:
            break
    wikilinks = [item["name"] for item in similar[:5]]

    return {
        "path": rel(path),
        "classification": classification,
        "similar_notes": similar,
        "suggested_wikilinks": wikilinks,
        "write_policy": "read-only plan; agent must ask before workflow changes",
    }


def main() -> int:
    parser = argparse.ArgumentParser(description="Agent-facing ingest helper")
    sub = parser.add_subparsers(dest="command", required=True)

    sub.add_parser("scan", help="List files in 00 Inbox and 01 Ideas")
    classify = sub.add_parser("classify", help="Classify one source file")
    classify.add_argument("path")
    plan_cmd = sub.add_parser("plan", help="Build JSON ingest plan for one source file")
    plan_cmd.add_argument("path")

    args = parser.parse_args()

    if args.command == "scan":
        json_print({"ok": True, "items": scan()})
    elif args.command == "classify":
        path = read_path(args.path)
        text = path.read_text(encoding="utf-8", errors="replace")
        fm, body, _ = split_frontmatter(text)
        json_print({"ok": True, "path": rel(path), "classification": classify_text(path, body, fm)})
    elif args.command == "plan":
        json_print({"ok": True, "plan": plan(read_path(args.path))})

    return 0


if __name__ == "__main__":
    raise SystemExit(main())