Files
Yamen Ahmad 907a5c0e92 feat(v3): restructure project + add complete frontend
- Restructure: move backend from new_project/ to backend/
- Add full React/TypeScript frontend (37 pages, 17 services, 16 type defs, 11 query hooks)
- Add docs/ with SRS specs, user stories, and workflow documentation
- Update .gitignore for new directory layout

Workflows implemented:
  WF1 User Signup, WF2 Placement Test, WF3 Exam Configuration,
  WF4 General English Exam, WF5 Course Generation,
  WF6 Entity Student Onboarding, AI Course Generation,
  Adaptive Learning Engine UI, White-Label Branding, Score Release

Made-with: Cursor
2026-04-10 17:26:42 +04:00

53 lines
1.7 KiB
Python

import json
from odoo import models, fields, api
class EncoachStudentProfile(models.Model):
_name = 'encoach.student.profile'
_description = 'Student Onboarding Profile'
user_id = fields.Many2one('res.users', required=True, ondelete='cascade', index=True)
cefr_level = fields.Selection([
('pre_a1', 'Pre-A1'),
('a1', 'A1'),
('a2', 'A2'),
('b1', 'B1'),
('b2', 'B2'),
('c1', 'C1'),
('c2', 'C2'),
])
target_band = fields.Float()
learning_style = fields.Text(help='JSON array of styles: visual, audio, reading, mixed')
learning_goal = fields.Char(size=200)
hours_per_week = fields.Integer()
study_mode = fields.Selection([
('self_study', 'Self Study'),
('with_teacher', 'With Teacher'),
])
exam_date = fields.Date()
placement_completed = fields.Boolean(default=False)
placement_decision = fields.Selection([
('take_now', 'Take Now'),
('skip', 'Skip'),
])
entity_id = fields.Many2one('encoach.entity', ondelete='set null')
def get_learning_styles(self):
"""Return learning_style as a Python list."""
self.ensure_one()
if not self.learning_style:
return []
try:
return json.loads(self.learning_style)
except (json.JSONDecodeError, TypeError):
return [self.learning_style] if self.learning_style else []
def set_learning_styles(self, styles):
"""Accept a list of styles and store as JSON."""
self.ensure_one()
if isinstance(styles, list):
self.learning_style = json.dumps(styles)
elif isinstance(styles, str):
self.learning_style = json.dumps([styles])