"""Automatische NAS + second-brain synchronisatie."""
from __future__ import annotations

import hashlib
import json
import logging
import os
from typing import Any

import httpx

from app.db import execute, fetch_all, fetch_one

log = logging.getLogger("cockpit.auto_ingest")

DOC_INGEST_URL = os.getenv("DOC_INGEST_URL", "http://10.4.7.19:8750")
TOOLS_API_URL = os.getenv("TOOLS_API_URL", "http://tools-api:8700")


def _log_run(source: str, status: str, details: dict[str, Any]) -> None:
    try:
        execute(
            "INSERT INTO ingest_automation_log (source, status, details) VALUES (%s, %s, %s::jsonb)",
            (source, status, json.dumps(details)),
        )
    except Exception as exc:
        log.warning("ingest log failed: %s", exc)


def _brain_chat_id_for_client(client_id: int) -> int:
    return -int(client_id)


async def sync_nas_to_brain(limit: int = 40) -> dict[str, Any]:
    """Indexeer geanalyseerde documenten in second brain (pgvector) per klant."""
    rows = fetch_all(
        """
        SELECT da.storage_path, da.filename, da.doc_type, da.sentiment_label,
               da.word_count, dl.client_id, c.name AS client_name
        FROM document_analytics da
        LEFT JOIN document_links dl ON (
            da.storage_path = dl.storage_path
            OR da.storage_path LIKE dl.storage_path || '/%'
        ) AND dl.is_folder = TRUE
        LEFT JOIN document_links dl2 ON da.storage_path = dl2.storage_path AND dl2.is_folder = FALSE
        LEFT JOIN clients c ON c.id = COALESCE(dl2.client_id, dl.client_id)
        WHERE da.storage_path IS NOT NULL
        ORDER BY da.analyzed_at DESC NULLS LAST
        LIMIT %s
        """,
        (max(1, min(limit, 200)),),
    )
    synced = 0
    errors = 0
    async with httpx.AsyncClient(timeout=120.0) as client:
        for row in rows:
            path = row.get("storage_path") or ""
            if not path:
                continue
            client_id = row.get("client_id")
            chat_id = _brain_chat_id_for_client(client_id) if client_id else 888_000_001
            text = (
                f"NAS document: {row.get('filename') or path}\n"
                f"Pad: {path}\nType: {row.get('doc_type')}\n"
                f"Sentiment: {row.get('sentiment_label')}\nWoorden: {row.get('word_count')}"
            )
            msg_hash = int(hashlib.md5(path.encode()).hexdigest()[:8], 16)
            try:
                r = await client.post(
                    f"{TOOLS_API_URL.rstrip('/')}/brain/messages",
                    json={
                        "chat_id": chat_id,
                        "direction": "inbound",
                        "role": "system",
                        "content_type": "document",
                        "content_text": text[:4000],
                        "agent_name": "auto-ingest",
                        "embed": True,
                        "chat_type": "client_brain" if client_id else "nas_corpus",
                        "user_name": row.get("client_name") or "NAS",
                        "content_json": {"storage_path": path, "client_id": client_id},
                        "telegram_message_id": msg_hash,
                    },
                )
                if r.status_code < 400:
                    synced += 1
                else:
                    errors += 1
            except Exception as exc:
                log.warning("brain sync %s: %s", path, exc)
                errors += 1
    return {"synced": synced, "errors": errors, "candidates": len(rows)}


async def run_full_auto_sync(force_scan: bool = False) -> dict[str, Any]:
    """Volledige pipeline: NAS scan → Chroma RAG → brain embeddings."""
    out: dict[str, Any] = {"ok": True, "steps": {}}
    try:
        async with httpx.AsyncClient(timeout=300.0) as client:
            r = await client.post(
                f"{DOC_INGEST_URL.rstrip('/')}/ingest/scan",
                params={"force": "true" if force_scan else "false"},
            )
            r.raise_for_status()
            out["steps"]["nas_scan"] = r.json()
    except Exception as exc:
        out["steps"]["nas_scan"] = {"error": str(exc)}
    brain = await sync_nas_to_brain()
    out["steps"]["brain_sync"] = brain
    status = "ok" if not out["steps"].get("nas_scan", {}).get("error") else "partial"
    _log_run("auto_sync", status, out)
    out["last_logged"] = True
    return out


def last_auto_sync() -> dict[str, Any] | None:
    row = fetch_one(
        "SELECT source, status, details, created_at FROM ingest_automation_log ORDER BY created_at DESC LIMIT 1"
    )
    if not row:
        return None
    d = dict(row)
    if hasattr(d.get("created_at"), "isoformat"):
        d["created_at"] = d["created_at"].isoformat()
    if isinstance(d.get("details"), str):
        try:
            d["details"] = json.loads(d["details"])
        except Exception:
            pass
    return d