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
149 lines
6.4 KiB
Python
149 lines
6.4 KiB
Python
"""REST endpoints for AI media generation — TTS, avatar videos."""
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import base64
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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 MediaController(http.Controller):
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"""Handles /api/exam/*/media and avatar endpoints from media.service.ts."""
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def _get_tts_provider(self):
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return request.env["ir.config_parameter"].sudo().get_param("encoach_ai.tts_provider", "polly")
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def _get_tts(self):
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"""Get the configured TTS provider."""
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provider = self._get_tts_provider()
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if provider == "elevenlabs":
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from odoo.addons.encoach_ai.services.elevenlabs_service import ElevenLabsService
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return ElevenLabsService(request.env)
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from odoo.addons.encoach_ai.services.polly_service import PollyService
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return PollyService(request.env)
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def _synthesize(self, text, body):
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"""Dispatch TTS call with correct kwargs for each provider."""
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tts = self._get_tts()
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provider = self._get_tts_provider()
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if provider == "elevenlabs":
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gender = body.get("gender", "female")
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language = body.get("language", "en-GB")
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voice_key = f"{gender}_{'british' if 'GB' in language else 'american'}"
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return tts.synthesize(text, voice_id=body.get("voice_id"), voice_key=voice_key)
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return tts.synthesize(
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text,
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voice=body.get("voice"),
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language=body.get("language", "en-GB"),
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gender=body.get("gender", "female"),
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)
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# ── POST /api/exam/listening/media — generate listening audio ──
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@http.route("/api/exam/listening/media", type="http", auth="public", methods=["POST"], csrf=False)
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def listening_media(self, **kw):
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body = _get_json()
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text = body.get("text", "")
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if not text:
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return _json_response({"error": "No text provided"}, 400)
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try:
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result = self._synthesize(text, body)
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audio_b64 = base64.b64encode(result["audio"]).decode()
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return _json_response({
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"audio_base64": audio_b64,
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"content_type": result["content_type"],
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"voice": result.get("voice") or result.get("voice_id"),
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"characters": result["characters"],
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})
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except Exception as e:
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_logger.exception("Listening media generation failed")
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return _json_response({"error": str(e)}, 500)
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# ── POST /api/exam/speaking/media — generate speaking prompt audio ──
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@http.route("/api/exam/speaking/media", type="http", auth="public", methods=["POST"], csrf=False)
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def speaking_media(self, **kw):
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body = _get_json()
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text = body.get("text", "")
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if not text:
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return _json_response({"error": "No text provided"}, 400)
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try:
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result = self._synthesize(text, body)
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audio_b64 = base64.b64encode(result["audio"]).decode()
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return _json_response({
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"audio_base64": audio_b64,
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"content_type": result["content_type"],
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})
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except Exception as e:
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return _json_response({"error": str(e)}, 500)
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# ── GET /api/exam/avatars — list ELAI avatars ──
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@http.route("/api/exam/avatars", type="http", auth="public", methods=["GET"], csrf=False)
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def list_avatars(self, **kw):
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try:
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from odoo.addons.encoach_ai.services.elai_service import ElaiService
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elai = ElaiService(request.env)
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avatars = elai.list_avatars()
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return _json_response({"avatars": avatars})
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except Exception as e:
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return _json_response({"avatars": [], "note": str(e)})
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# ── POST /api/exam/avatar/video — create avatar video ──
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@http.route("/api/exam/avatar/video", type="http", auth="public", methods=["POST"], csrf=False)
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def create_avatar_video(self, **kw):
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body = _get_json()
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try:
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from odoo.addons.encoach_ai.services.elai_service import ElaiService
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elai = ElaiService(request.env)
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result = elai.create_video(
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body.get("script", ""),
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avatar_id=body.get("avatar_id"),
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title=body.get("title", "EnCoach Video"),
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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({"error": str(e)}, 500)
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# ── GET /api/exam/avatar/video/:id — check video status ──
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@http.route("/api/exam/avatar/video/<string:video_id>", type="http", auth="public", methods=["GET"], csrf=False)
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def video_status(self, video_id, **kw):
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try:
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from odoo.addons.encoach_ai.services.elai_service import ElaiService
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elai = ElaiService(request.env)
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return _json_response(elai.get_video_status(video_id))
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except Exception as e:
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return _json_response({"video_id": video_id, "status": "error", "error": str(e)})
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# ── POST /api/courses/ai-generate — AiCreationAssistant.tsx ──
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@http.route("/api/courses/ai-generate", type="http", auth="public", methods=["POST"], csrf=False)
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def ai_generate_course(self, **kw):
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body = _get_json()
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try:
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from odoo.addons.encoach_ai.services.openai_service import OpenAIService
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ai = OpenAIService(request.env)
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messages = [
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{"role": "system", "content": (
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"Generate a complete course structure. Return JSON: "
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"{\"title\": string, \"description\": string, \"modules\": "
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"[{\"title\": string, \"skill\": string, \"estimated_hours\": number, "
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"\"topics\": [string], \"resources\": [{\"title\": string, \"type\": string}]}], "
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"\"duration_weeks\": number}"
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)},
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{"role": "user", "content": json.dumps(body)},
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]
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result = ai.chat_json(messages, action="generate_course", max_tokens=4096)
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return _json_response(result)
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except Exception as e:
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return _json_response({"error": str(e)}, 500)
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