74d83af57f
- Backend: AI generation fallbacks when OpenAI not configured, full exam submission saving all params (difficulty, rubric, entity, grading system, approval workflow) and creating linked question records per section - Backend: new exam session controller with get_session, autosave, submit, status, and results endpoints; student attempt/answer/score models - Backend: new controllers for entities, approval workflows, exam schedules - Frontend: exam session split-layout with passage panel, question types (MCQ, T/F/NG, gap-fill, writing, speaking), timer, and review dialog - Frontend: results page with percentage score, per-answer breakdown table - Frontend: generation page dynamic dropdowns, full payload submission - Frontend: updated types for ExamSessionSection, ExamQuestion options Made-with: Cursor
35 lines
1.0 KiB
Python
35 lines
1.0 KiB
Python
import json
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import logging
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from odoo import http
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from odoo.http import request
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from odoo.addons.encoach_api.controllers.base import (
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jwt_required, _json_response, _error_response,
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)
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_logger = logging.getLogger(__name__)
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class EntityController(http.Controller):
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@http.route('/api/entities', type='http', auth='none',
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methods=['GET'], csrf=False)
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@jwt_required
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def list_entities(self, **kw):
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try:
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cr = request.env.cr
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cr.execute(
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"SELECT id, name, code, type FROM encoach_entity ORDER BY name")
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items = []
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for eid, name, code, etype in cr.fetchall():
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items.append({
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'id': eid,
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'name': name,
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'code': code or '',
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'type': etype or '',
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})
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return _json_response({'items': items, 'total': len(items)})
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except Exception as e:
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_logger.exception('list entities failed')
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return _json_response({'error': str(e)}, 500)
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