from __future__ import annotations
import base64
import logging
import re
import threading

import requests as _requests
from markupsafe import Markup, escape
from odoo import SUPERUSER_ID, api, registry as odoo_registry, models

_logger = logging.getLogger(__name__)

_HTML_TAG = re.compile(r'<[^>]+>')


def _strip_html(html: str) -> str:
    return _HTML_TAG.sub(' ', html or '').strip()


def _text_to_html(text: str) -> Markup:
    """Convert plain text to HTML — escapes content, turns newlines into <br>."""
    return Markup('<br>').join(Markup(escape(line)) for line in text.split('\n'))


def _post_bot_reply(db: str, channel_id: int, bot_partner_id: int, reply_text: str):
    """Open a fresh DB cursor and post the bot reply to the channel."""
    try:
        with odoo_registry(db).cursor() as cr:
            env = api.Environment(cr, SUPERUSER_ID, {})
            env['discuss.channel'].browse(channel_id).sudo().message_post(
                body=_text_to_html(reply_text),
                author_id=bot_partner_id,
                message_type='comment',
                subtype_xmlid='mail.mt_comment',
            )
            cr.commit()
    except Exception as exc:
        _logger.error('_post_bot_reply failed channel=%s: %s', channel_id, exc)


def _agent_thread(db: str, uid: int, text: str, att_data: list,
                  bot_partner_id: int, channel_id: int,
                  bot_url: str, bot_secret: str):
    """
    Background thread: calls the agent service and posts the reply.
    All messages — text, files, or both — are routed here so the LLM
    handles every response.  Nothing is intercepted or templated in Odoo.
    """
    try:
        headers = {}
        if bot_secret:
            headers['X-ActiveBlue-Signature'] = bot_secret

        if att_data:
            # Send files (with or without text) to the upload endpoint.
            # Passing an empty message lets the agent service decide intent
            # from the file contents rather than a scripted default.
            files = [('files', (name, data, mime)) for name, data, mime in att_data]
            form = {
                'user_id': str(uid),
                'message': text,   # may be empty — agent service handles that
                'session_id': '',
            }
            resp = _requests.post(bot_url + '/upload', data=form, files=files,
                                  headers=headers, timeout=600)
        else:
            payload = {'user_id': str(uid), 'message': text,
                       'context': {'source': 'discuss'}}
            headers['Content-Type'] = 'application/json'
            resp = _requests.post(bot_url + '/dispatch', json=payload,
                                  headers=headers, timeout=600)

        resp.raise_for_status()
        response = resp.json()
        reply_text = (response or {}).get('reply') or (response or {}).get('message') or \
                     'I could not process your request right now.'
    except _requests.exceptions.Timeout:
        reply_text = 'The request timed out. Please try again.'
    except _requests.exceptions.HTTPError as exc:
        detail = ''
        try:
            detail = exc.response.json().get('detail') or ''
        except Exception:
            pass
        _logger.error('Agent HTTP error channel=%s status=%s: %s',
                      channel_id, exc.response.status_code if exc.response else '?', exc)
        if detail:
            reply_text = f'The agent returned an error: {detail}'
        else:
            reply_text = (f'The agent service returned an unexpected error '
                          f'(HTTP {exc.response.status_code if exc.response else "?"}). '
                          f'Please try again or contact your administrator.')
    except Exception as exc:
        _logger.error('Agent thread error channel=%s: %s', channel_id, exc)
        reply_text = f'I encountered an error: {exc}'

    _post_bot_reply(db, channel_id, bot_partner_id, reply_text)


class DiscussChannel(models.Model):
    _inherit = 'discuss.channel'

    @api.model
    def _ai_bot_partner(self):
        return self.env.ref('activeblue_ai.partner_activeblue_ai', raise_if_not_found=False)

    def message_post(self, *, body='', author_id=None, **kwargs):
        result = super().message_post(body=body, author_id=author_id, **kwargs)

        # Only intercept direct-message channels
        if self.channel_type != 'chat':
            return result

        bot_partner = self._ai_bot_partner()
        if not bot_partner:
            return result

        member_partners = self.channel_member_ids.partner_id
        if bot_partner not in member_partners:
            return result

        # Never react to the bot's own messages
        if author_id == bot_partner.id:
            return result

        text = _strip_html(body)
        attachments = result.attachment_ids

        # Nothing to process
        if not text and not attachments:
            return result

        # Read attachment bytes NOW, inside the current transaction
        att_data: list[tuple[str, bytes, str]] = []
        for att in attachments:
            try:
                data = base64.b64decode(att.datas) if att.datas else b''
                att_data.append((att.name or 'attachment', data,
                                 att.mimetype or 'application/octet-stream'))
            except Exception as exc:
                _logger.warning('Could not read attachment %s: %s', att.id, exc)

        human_partner = member_partners.filtered(lambda p: p != bot_partner)[:1]
        user = self.env['res.users'].search([('partner_id', '=', human_partner.id)], limit=1)
        uid = user.id if user else self.env.uid

        bot = self.env['ab.ai.bot'].sudo().search([('active', '=', True)], limit=1)
        if not bot:
            return result

        db = self.env.cr.dbname
        bot_url = bot._get_service_url()
        bot_secret = bot.webhook_secret or ''
        channel_id = self.id
        bot_partner_id = bot_partner.id

        # Launch the agent call in a daemon thread — message_post returns immediately
        threading.Thread(
            target=_agent_thread,
            args=(db, uid, text, att_data, bot_partner_id, channel_id,
                  bot_url, bot_secret),
            daemon=True,
        ).start()

        return result