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