feat(i18n,rtl): full Arabic localization + RTL sweep across all layouts

Frontend
- i18n: install tailwindcss-rtl, Cairo font, RTL-aware direction in index.css.
- Language toggle: localize aria-label / menu label, persist choice, update
  document dir synchronously.
- Sidebar: add `side` prop so the drawer pins to the right in RTL; wire up
  AdminLmsLayout, RoleLayout (student/teacher) and AppSidebar to pass
  side = i18n.dir() === 'rtl' ? 'right' : 'left'.
- AdminLmsLayout: convert every nav item from hard-coded title to titleKey,
  translate group labels (incl. the collapsible Training), breadcrumbs,
  user menu (Profile / Settings / Logout), help button and toggle aria
  labels; replace physical mr-/right- utilities with logical me-/end-.
- AI components (AiTipBanner, AiInsightsPanel, AiAlertBanner, AiSearchBar,
  AiAssistantDrawer): apply dir="auto" at the container level, localize
  titles, loading / error / empty states.
- Dashboards (admin / student / teacher): wrap numeric values in <bdi>,
  localize dates via ar-EG, fix flex direction for KPI and assignment cards.
- UI primitives (breadcrumb, calendar, carousel, dropdown-menu, menubar,
  context-menu, pagination, sidebar): flip chevrons in RTL via a scoped
  CSS rule, swap pl-/pr-/ml-/mr- for ps-/pe-/ms-/me-.
- Add logical-direction helpers and bidirectional isolation classes.

Locales
- Expand en.ts and ar.ts with full `nav`, `sidebarGroup`, `breadcrumb`,
  `userMenu`, `chrome`, `ai`, and dashboard key sets; keep key parity.

API client
- `api-client.ts` reads the active language from localStorage/i18n and sends
  `Accept-Language` on every request so the backend can localize AI output.

Backend (encoach_ai)
- openai_service: add _LANGUAGE_NAMES, normalize_language, language-aware
  system prompt injection for every OpenAI call.
- coach_service + controllers (coach_controller, ai_controller): thread
  the requested language from headers / user locale down to OpenAIService.
- ai_feedback: fix latent registry error by pointing course_id at op.course
  instead of the non-existent encoach.course.

Other
- .gitignore: ignore runtime odoo logs and local caches.

Made-with: Cursor

custom_addons/encoach_ai/controllers/ai_controller.py

@@ -24,6 +24,25 @@ def _get_json():
         return {}
 
 
+def _request_language():
+    """Return the caller's UI language from ``Accept-Language``.
+
+    The frontend ``api-client`` forwards the active i18n language (e.g. ``ar``
+    or ``en``) via this header so AI-generated natural-language strings can
+    be returned in the same language as the UI chrome.
+    """
+    try:
+        return request.httprequest.headers.get("Accept-Language", "") or ""
+    except Exception:
+        return ""
+
+
+def _openai_for_request():
+    """Construct an OpenAIService bound to the caller's UI language."""
+    from odoo.addons.encoach_ai.services.openai_service import OpenAIService
+    return OpenAIService(request.env, language=_request_language())
+
+
 class AIController(http.Controller):
     """Handles /api/ai/* endpoints consumed by frontend AI components."""
 
@@ -37,7 +56,7 @@ class AIController(http.Controller):
             return _json_response({"answer": "", "suggestions": []})
         try:
             from odoo.addons.encoach_ai.services.openai_service import OpenAIService
-            ai = OpenAIService(request.env)
+            ai = OpenAIService(request.env, language=_request_language())
             result = ai.search_with_rag(query, context=body.get("context", ""))
             return _json_response(result)
         except Exception as e:
@@ -69,7 +88,7 @@ class AIController(http.Controller):
         body = _get_json()
         try:
             from odoo.addons.encoach_ai.services.openai_service import OpenAIService
-            ai = OpenAIService(request.env)
+            ai = OpenAIService(request.env, language=_request_language())
             result = ai.generate_insights(
                 body.get("data", {}),
                 insight_type=body.get("type", "general"),
@@ -85,7 +104,7 @@ class AIController(http.Controller):
     def ai_alerts(self, **kw):
         try:
             from odoo.addons.encoach_ai.services.openai_service import OpenAIService
-            ai = OpenAIService(request.env)
+            ai = OpenAIService(request.env, language=_request_language())
             context = request.params.get("context", "dashboard")
             result = ai.generate_insights(
                 {"context": context, "request": "alerts"},
@@ -103,7 +122,7 @@ class AIController(http.Controller):
         body = _get_json()
         try:
             from odoo.addons.encoach_ai.services.openai_service import OpenAIService
-            ai = OpenAIService(request.env)
+            ai = OpenAIService(request.env, language=_request_language())
             narrative = ai.generate_report_narrative(
                 body.get("report_type", "performance"),
                 body.get("data", {}),
@@ -119,7 +138,7 @@ class AIController(http.Controller):
         body = _get_json()
         try:
             from odoo.addons.encoach_ai.services.openai_service import OpenAIService
-            ai = OpenAIService(request.env)
+            ai = OpenAIService(request.env, language=_request_language())
             result = ai.batch_optimize(
                 body.get("items", []),
                 optimization_type=body.get("type", "schedule"),
@@ -135,7 +154,7 @@ class AIController(http.Controller):
         body = _get_json()
         try:
             from odoo.addons.encoach_ai.services.openai_service import OpenAIService
-            ai = OpenAIService(request.env)
+            ai = OpenAIService(request.env, language=_request_language())
             skill = body.get("skill", "writing")
             if skill == "speaking":
                 result = ai.grade_speaking(
@@ -160,7 +179,7 @@ class AIController(http.Controller):
         body = _get_json()
         try:
             from odoo.addons.encoach_ai.services.openai_service import OpenAIService
-            ai = OpenAIService(request.env)
+            ai = OpenAIService(request.env, language=_request_language())
             result = ai.generate_content_dedup(
                 body.get("content_type", "reading_passage"),
                 body.get("brief", {}),
@@ -204,7 +223,7 @@ class AIController(http.Controller):
         body = _get_json()
         try:
             from odoo.addons.encoach_ai.services.openai_service import OpenAIService
-            ai = OpenAIService(request.env)
+            ai = OpenAIService(request.env, language=_request_language())
             messages = [
                 {"role": "system", "content": (
                     "You are an educational taxonomy expert. Suggest topics for the given domain and level. "
@@ -224,7 +243,7 @@ class AIController(http.Controller):
         body = _get_json()
         try:
             from odoo.addons.encoach_ai.services.openai_service import OpenAIService
-            ai = OpenAIService(request.env)
+            ai = OpenAIService(request.env, language=_request_language())
             messages = [
                 {"role": "system", "content": (
                     "Create a personalized learning plan. Return JSON: "
@@ -246,7 +265,7 @@ class AIController(http.Controller):
         body = _get_json()
         try:
             from odoo.addons.encoach_ai.services.openai_service import OpenAIService
-            ai = OpenAIService(request.env)
+            ai = OpenAIService(request.env, language=_request_language())
             messages = [
                 {"role": "system", "content": (
                     "Generate a course outline. Return JSON: {\"chapters\": "
@@ -264,7 +283,7 @@ class AIController(http.Controller):
         body = _get_json()
         try:
             from odoo.addons.encoach_ai.services.openai_service import OpenAIService
-            ai = OpenAIService(request.env)
+            ai = OpenAIService(request.env, language=_request_language())
             messages = [
                 {"role": "system", "content": (
                     "Generate detailed chapter content for a course. Return JSON: "
@@ -283,7 +302,7 @@ class AIController(http.Controller):
         body = _get_json()
         try:
             from odoo.addons.encoach_ai.services.openai_service import OpenAIService
-            ai = OpenAIService(request.env)
+            ai = OpenAIService(request.env, language=_request_language())
             messages = [
                 {"role": "system", "content": (
                     "Create an assessment rubric. Return JSON: {\"rubric\": "
@@ -350,7 +369,7 @@ class AIController(http.Controller):
 
         try:
             from odoo.addons.encoach_ai.services.openai_service import OpenAIService
-            ai = OpenAIService(request.env)
+            ai = OpenAIService(request.env, language=_request_language())
             if not ai.client:
                 raise RuntimeError("OpenAI not configured")
 
@@ -480,7 +499,7 @@ class AIController(http.Controller):
         body = _get_json()
         try:
             from odoo.addons.encoach_ai.services.openai_service import OpenAIService
-            ai = OpenAIService(request.env)
+            ai = OpenAIService(request.env, language=_request_language())
             has_ai = bool(ai.client)
         except Exception:
             ai, has_ai = None, False
@@ -1618,7 +1637,7 @@ class AIController(http.Controller):
         body = _get_json()
         try:
             from odoo.addons.encoach_ai.services.openai_service import OpenAIService
-            ai = OpenAIService(request.env)
+            ai = OpenAIService(request.env, language=_request_language())
             messages = [
                 {"role": "system", "content": (
                     "You are an educational materials expert. Suggest learning materials "
@@ -1639,7 +1658,7 @@ class AIController(http.Controller):
         body = _get_json()
         try:
             from odoo.addons.encoach_ai.services.openai_service import OpenAIService
-            ai = OpenAIService(request.env)
+            ai = OpenAIService(request.env, language=_request_language())
             result = ai.generate_content(
                 body.get("content_type", "explanation"),
                 {"topic_id": topic_id, **body},

custom_addons/encoach_ai/controllers/coach_controller.py

@@ -23,12 +23,25 @@ def _get_json():
         return {}
 
 
+def _request_language():
+    """Read the caller's UI language from the ``Accept-Language`` header.
+
+    The frontend ``api-client`` automatically attaches this header from the
+    active i18n language so AI-generated text can be localized. Falls back
+    to English if the header is missing or malformed.
+    """
+    try:
+        return request.httprequest.headers.get("Accept-Language", "") 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)
+        return CoachService(request.env, language=_request_language())
 
     # ── POST /api/coach/chat — AiAssistantDrawer.tsx ──
     @http.route("/api/coach/chat", type="http", auth="none", methods=["POST"], csrf=False)

custom_addons/encoach_ai/models/ai_feedback.py

@@ -89,7 +89,7 @@ class EncoachAIFeedback(models.Model):
         "encoach.entity", ondelete="set null", index=True,
     )
     course_id = fields.Many2one(
-        "encoach.course", ondelete="set null", index=True,
+        "op.course", ondelete="set null", index=True,
     )
 
     # ------------------------------------------------------------------

custom_addons/encoach_ai/services/coach_service.py

@@ -9,10 +9,10 @@ _logger = logging.getLogger(__name__)
 class CoachService:
     """High-level AI coaching: chat, tips, explanations, writing help, study plans."""
 
-    def __init__(self, env):
+    def __init__(self, env, *, language=None):
         from .openai_service import OpenAIService
         self.env = env
-        self.ai = OpenAIService(env)
+        self.ai = OpenAIService(env, language=language)
 
     def _log(self, action, latency_ms=0, status="success", error=None, inp=None, out=None):
         try:

custom_addons/encoach_ai/services/openai_service.py

@@ -12,10 +12,45 @@ except ImportError:
     _openai_mod = None
 
 
+# Human-readable names for the UI languages we support. Kept in sync with the
+# frontend i18n language set. When a user has the UI in Arabic (`ar`), we want
+# the LLM to reply in Arabic too — otherwise the user sees Arabic chrome with
+# English AI content, which is what they reported as "not translated correct".
+_LANGUAGE_NAMES = {
+    "en": "English",
+    "ar": "Arabic",
+    "fr": "French",
+    "es": "Spanish",
+    "de": "German",
+    "ru": "Russian",
+    "tr": "Turkish",
+    "fa": "Persian",
+    "ur": "Urdu",
+    "hi": "Hindi",
+    "zh": "Chinese",
+    "ja": "Japanese",
+    "ko": "Korean",
+}
+
+
+def _normalize_language(code):
+    """Pull a short ISO-639-1 code out of a raw Accept-Language-style string.
+
+    Handles ``ar``, ``ar-EG``, ``ar-EG,en;q=0.9`` and friends. Falls back to
+    ``en`` for anything we don't recognise so the AI always has a concrete
+    target language and never reverts to an empty prompt.
+    """
+    if not code:
+        return "en"
+    token = str(code).strip().split(",")[0].split(";")[0].strip().lower()
+    short = token.split("-")[0]
+    return short if short in _LANGUAGE_NAMES else "en"
+
+
 class OpenAIService:
     """Wraps the OpenAI Python SDK with Odoo settings and logging."""
 
-    def __init__(self, env):
+    def __init__(self, env, *, language=None):
         self.env = env
         self._get_param = env["ir.config_parameter"].sudo().get_param
         self.enabled = self._get_param("encoach_ai.enabled", "True").lower() in ("1", "true", "yes")
@@ -34,6 +69,49 @@ class OpenAIService:
             self.client = None
         self.model = self._get_param("encoach_ai.openai_model", "gpt-4o")
         self.fast_model = self._get_param("encoach_ai.openai_fast_model", "gpt-4o-mini")
+        self.language = _normalize_language(language)
+
+    def _language_system_message(self):
+        """Return a system message that forces the LLM to answer in the user's
+        UI language, or ``None`` for English (the model's default).
+
+        We keep the original English prompts (which are tuned for JSON
+        structure) and simply tack a language instruction on the end. This
+        preserves behaviour for ``en`` users while giving Arabic users Arabic
+        output without having to translate every prompt in the codebase.
+        """
+        if not self.language or self.language == "en":
+            return None
+        lang_name = _LANGUAGE_NAMES.get(self.language, "English")
+        return {
+            "role": "system",
+            "content": (
+                f"LOCALIZATION: Write every user-facing natural-language string "
+                f"(titles, descriptions, explanations, feedback, recommendations, "
+                f"suggestions, motivation, narrative) in {lang_name}. "
+                "Keep JSON keys, enum values (e.g. 'info', 'warning', 'critical', "
+                "'TRUE', 'FALSE', 'NOT GIVEN'), CEFR band codes (A1-C2), band numbers, "
+                "and identifiers in their original form. Do not translate rubric "
+                "category names that appear as JSON keys."
+            ),
+        }
+
+    def _inject_language(self, messages):
+        """Prepend the localization instruction after the existing system
+        prompt(s) so it doesn't displace the structural prompt but is still
+        heeded by the model."""
+        lang_msg = self._language_system_message()
+        if not lang_msg:
+            return messages
+        messages = list(messages)
+        # Find the index of the last system message so we append after it.
+        last_system = -1
+        for i, m in enumerate(messages):
+            if isinstance(m, dict) and m.get("role") == "system":
+                last_system = i
+        insert_at = last_system + 1 if last_system >= 0 else 0
+        messages.insert(insert_at, lang_msg)
+        return messages
 
     def _log(self, action, model, usage, latency, status="success", error=None, inp=None, out=None):
         try:
@@ -82,6 +160,7 @@ class OpenAIService:
         if not self.client:
             raise RuntimeError("OpenAI not configured — set API key in AI Settings")
         model = model or self.model
+        messages = self._inject_language(messages)
         t0 = time.time()
         try:
             def _call():
@@ -108,6 +187,7 @@ class OpenAIService:
         if not self.client:
             raise RuntimeError("OpenAI not configured — set API key in AI Settings")
         model = model or self.model
+        messages = self._inject_language(messages)
         t0 = time.time()
         try:
             def _call():