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
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52
custom_addons/encoach_signup/models/student_profile.py
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52
custom_addons/encoach_signup/models/student_profile.py
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import json
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from odoo import models, fields, api
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class EncoachStudentProfile(models.Model):
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_name = 'encoach.student.profile'
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_description = 'Student Onboarding Profile'
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user_id = fields.Many2one('res.users', required=True, ondelete='cascade', index=True)
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cefr_level = fields.Selection([
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('pre_a1', 'Pre-A1'),
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('a1', 'A1'),
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('a2', 'A2'),
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('b1', 'B1'),
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('b2', 'B2'),
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('c1', 'C1'),
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('c2', 'C2'),
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])
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target_band = fields.Float()
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learning_style = fields.Text(help='JSON array of styles: visual, audio, reading, mixed')
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learning_goal = fields.Char(size=200)
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hours_per_week = fields.Integer()
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study_mode = fields.Selection([
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('self_study', 'Self Study'),
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('with_teacher', 'With Teacher'),
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])
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exam_date = fields.Date()
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placement_completed = fields.Boolean(default=False)
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placement_decision = fields.Selection([
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('take_now', 'Take Now'),
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('skip', 'Skip'),
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])
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entity_id = fields.Many2one('encoach.entity', ondelete='set null')
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def get_learning_styles(self):
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"""Return learning_style as a Python list."""
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self.ensure_one()
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if not self.learning_style:
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return []
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try:
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return json.loads(self.learning_style)
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except (json.JSONDecodeError, TypeError):
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return [self.learning_style] if self.learning_style else []
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def set_learning_styles(self, styles):
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"""Accept a list of styles and store as JSON."""
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self.ensure_one()
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if isinstance(styles, list):
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self.learning_style = json.dumps(styles)
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elif isinstance(styles, str):
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self.learning_style = json.dumps([styles])
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