Files
encoach_backend_v4/custom_addons/encoach_ai/controllers/media_controller.py
Yamen Ahmad ca91544acd feat: QA fixes, new APIs (assignments, rubrics, custom exams), Generation page enhancements
- Fix ELAI video generation (correct render endpoint, script splitting for 60s limit)
- Fix speaking script generation error handling and empty response display
- Add custom exam list API (GET /api/exam/custom/list)
- Add assignments REST API (list, create, get)
- Add rubrics REST API (list, create)
- Enhance Generation page: dynamic exam structures, auto-module selection, preview dialog, audio player
- Improve submit feedback with exam ID and status in toast notifications
- Fix ExamsListPage to show both custom exams and exam sessions
- Connect RubricsPage to backend API with fallback data
- Add Dockerfile, docker-compose.yml, requirements.txt for deployment
- Fix placement, grading, scoring, and auth controllers
- Add ErrorBoundary component for frontend resilience
- Add QA report and credentials documentation

Made-with: Cursor
2026-04-12 14:26:39 +04:00

149 lines
6.4 KiB
Python

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