import json
import logging

from odoo import http
from odoo.http import request

from .base import EncoachMixin

_logger = logging.getLogger(__name__)


class GradingController(EncoachMixin, http.Controller):

    # ------------------------------------------------- grade multiple
    @http.route('/api/grading/multiple', type='http', auth='public', methods=['POST', 'OPTIONS'], csrf=False, cors='*')
    def grade_multiple(self, **kwargs):
        """Grade multiple short-answer exercises using GPT-4o."""
        try:
            user = self._authenticate()
            if not user:
                return self._error_response('Unauthorized', 401)

            body = self._get_json_body()
            text = body.get('text', '')
            questions = body.get('questions', [])
            answers = body.get('answers', [])

            if not questions or not answers:
                return self._error_response('questions and answers are required', 400)
            if len(questions) != len(answers):
                return self._error_response('questions and answers must have the same length', 400)

            GradingService = request.env['encoach.ai.grading'].sudo()
            result = GradingService.grade_short_answers(
                text=text,
                questions=questions,
                answers=answers,
            )

            return self._json_response({'exercises': result})
        except Exception:
            _logger.exception("Grade multiple error")
            return self._error_response('Internal server error', 500)

    # ------------------------------------------------ grading summary
    @http.route('/api/exam/grade/summary', type='http', auth='public', methods=['POST', 'OPTIONS'], csrf=False, cors='*')
    def grading_summary(self, **kwargs):
        """Generate a grading summary for a full exam session."""
        try:
            user = self._authenticate()
            if not user:
                return self._error_response('Unauthorized', 401)

            body = self._get_json_body()
            sections = body.get('sections', [])
            if not sections:
                return self._error_response('sections array is required', 400)

            GradingService = request.env['encoach.ai.grading'].sudo()
            result = GradingService.generate_grading_summary(sections=sections)

            return self._json_response({'sections': result})
        except Exception:
            _logger.exception("Grading summary error")
            return self._error_response('Internal server error', 500)