Files
encoach_backend_v4/custom_addons/encoach_ai/controllers/coach_controller.py
Yamen Ahmad 6ec68160c8 feat: institutional + support + training admin sections (backend + frontend)
Ship three fully-wired admin areas end-to-end with APIs, seeds, tests and docs.

Backend (new `encoach_lms_api` addon + existing addons):
- Institutional: academic years/terms, departments, admission registers & admissions,
  courses/batches, lessons, fees (terms + student fees + invoicing with income-account
  auto-wiring), gradebook (assignments/grades), library, facilities (encoach.asset),
  student leave, result templates + marksheets (incl. delete-with-cascade).
- Support: `encoach.ticket` model + CRUD/assignee routes; payment records derived
  from `op.student.fees.details` and `account.move`; platform settings backed by
  `encoach.code` and `ir.config_parameter` (packages + grading config).
- Training: `encoach.vocab.item` + `encoach.grammar.rule` (plus progress models)
  with CRUD, pagination, search/level filters, and upsert-style progress endpoints.
  Odoo 19 compatibility: `_sql_constraints` replaced with `@api.constrains`;
  `ValidationError`/`UserError` mapped to HTTP 400.

Frontend:
- Rewire institutional admin pages (Academic Year Manager, Admissions, Courses,
  Lessons, Fees, Gradebook, Library, Facilities, Student Leave, Marksheets,
  Taxonomy, Resources) to real APIs with React Query invalidation and dialogs.
- New typed services: `payments.service.ts`, `platformSettings.service.ts`,
  `training.service.ts`. Updated `fees/gradebook/lms/courseware/taxonomy/
  resources/student-progress/generation` services + related types.
- Rewrite `VocabularyPage`, `GrammarPage`, `PaymentRecordPage`, `SettingsPage`,
  `TicketsPage` to consume live data with search/filter/progress/CRUD flows.
- New shared components: `TaxonomyCascade`, `MaterialViewer`, `teacher/TeacherLibrary`.
- Favicons/branding assets and misc. UX polish across teacher/student pages.

Tooling & QA:
- Seeders: `seed_demo.py`, `seed_demo_data.py`, `seed_institutional.py` (idempotent,
  covers institutional + support + training fixtures incl. income-account wiring).
- API write-flow test suites: `test_write_flows.py` (institutional),
  `test_support_flows.py` (support), `test_training_flows.py` (training),
  `test_ai_full.py`. All suites pass end-to-end.
- Docs: add `docs/PROJECT_SUMMARY.md` with per-section scope, artifacts and QA.
- `.gitignore`: ignore `pgdata_bak_*/`, `frontend/.vite/`, `frontend/dist/`,
  `frontend/node_modules/`.

Made-with: Cursor
2026-04-19 03:13:23 +04:00

108 lines
4.2 KiB
Python

"""REST endpoints for AI coaching — matches frontend coaching.service.ts."""
import json
import logging
from odoo import http
from odoo.http import request, Response
_logger = logging.getLogger(__name__)
def _json_response(data, status=200):
return Response(json.dumps(data, default=str), status=status, content_type="application/json")
def _get_json():
try:
return json.loads(request.httprequest.data or "{}")
except Exception:
return {}
class CoachController(http.Controller):
"""Handles /api/coach/* endpoints consumed by frontend AI coaching components."""
def _get_coach(self):
from odoo.addons.encoach_ai.services.coach_service import CoachService
return CoachService(request.env)
# ── POST /api/coach/chat — AiAssistantDrawer.tsx ──
@http.route("/api/coach/chat", type="http", auth="public", methods=["POST"], csrf=False)
def coach_chat(self, **kw):
body = _get_json()
try:
coach = self._get_coach()
result = coach.chat(
body.get("message", ""),
history=body.get("history", []),
student_context=body.get("context"),
)
return _json_response(result)
except Exception as e:
_logger.exception("Coach chat failed")
return _json_response({"reply": f"I'm having trouble right now. Error: {e}"})
# ── GET /api/coach/tip — AiTipBanner.tsx ──
@http.route("/api/coach/tip", type="http", auth="public", methods=["GET"], csrf=False)
def coach_tip(self, **kw):
context = request.params.get("context", "general")
try:
coach = self._get_coach()
return _json_response(coach.get_tip(context))
except Exception as e:
return _json_response({"tip": "Keep practising every day — consistency beats intensity!", "category": "general"})
# ── POST /api/coach/explain — AiGradeExplainer.tsx ──
@http.route("/api/coach/explain", type="http", auth="public", methods=["POST"], csrf=False)
def coach_explain(self, **kw):
body = _get_json()
try:
coach = self._get_coach()
result = coach.explain(
body.get("score_data", {}),
body.get("student_context", ""),
)
return _json_response(result)
except Exception as e:
return _json_response({"explanation": f"Could not generate explanation: {e}"})
# ── POST /api/coach/suggest — AiStudyCoach.tsx ──
@http.route("/api/coach/suggest", type="http", auth="public", methods=["POST"], csrf=False)
def coach_suggest(self, **kw):
body = _get_json()
try:
coach = self._get_coach()
return _json_response(coach.suggest(body))
except Exception as e:
return _json_response({
"suggestion": "Focus on your weakest skill for 30 minutes daily.",
"focus_areas": ["writing", "speaking"],
"daily_plan": [],
"motivation": "Every expert was once a beginner!",
})
# ── POST /api/coach/writing-help — AiWritingHelper.tsx ──
@http.route("/api/coach/writing-help", type="http", auth="public", methods=["POST"], csrf=False)
def coach_writing_help(self, **kw):
body = _get_json()
try:
coach = self._get_coach()
result = coach.writing_help(
body.get("task", ""),
body.get("draft", ""),
body.get("help_type", "improve"),
)
return _json_response(result)
except Exception as e:
return _json_response({"improved_text": "", "changes": [], "tips": [str(e)]})
# ── POST /api/coach/hint — (unused component, wired for completeness) ──
@http.route("/api/coach/hint", type="http", auth="public", methods=["POST"], csrf=False)
def coach_hint(self, **kw):
body = _get_json()
try:
coach = self._get_coach()
return _json_response(coach.get_hint(body))
except Exception as e:
return _json_response({"hint": "Think about the key words in the question.", "strategy": "keyword_focus"})