feat(backend): Phase 2/3 hardening release

Roadmap P0 — platform safety & ops
- Merge duplicate encoach.student.attempt/answer models into encoach_scoring
  and drop the stale encoach_exam_template copies.
- Remove duplicate /api/exam/* routes; canonicalize on one controller tree.
- Gate raw-SQL seeds in seed_demo_data.py behind an explicit env flag.
- Add /api/health and /api/health/ready (DB + LLM reachability) endpoints.
- Fix docker-compose + ship odoo-docker.conf for container-local runs.
- Enforce OpenAI request_timeout=30s and @jwt_required on all AI/coach routes.
- Promote canonical cefr_mapper to encoach_ai.services.cefr_mapper.
- JWT cache TTL=30s + invalidation hook on user mutation.

Roadmap P1 — exam correctness & data provenance
- Wire QualityChecker + IeltsValidator into exam submit with a
  pending_review gate (encoach_ai.services.question_validator).
- Populate RAG metadata (course_id, subject_id, entity_id, taxonomy) on
  encoach_vector embeddings and add a chunking pipeline (>2000 chars).
- Add provenance fields on encoach.question (model, prompt_hash, log_id)
  and validate LLM output with schema before DB insert.
- Unify response envelope to {items,total,page,size}.
- Approval reject rollback with savepoint atomicity.
- Ticket notifications on status/assignee change.

Roadmap P2 — performance & observability
- Reports: replace Python loops with SQL read_group aggregations.
- X-Request-ID middleware + structured JSON logs.
- In-process/Prometheus counters and openapi.py controller exporting a
  spec by scanning @http.route decorators.
- Paymob real checkout + HMAC-SHA512 webhook verification, backed by a
  new encoach.paymob.order model and ir.config_parameter credentials.
- JWT refresh tokens + revocation table.
- Composite DB indexes on hot report/ticket/attempt paths.

Roadmap P3 — human-in-the-loop & compliance
- Human-in-the-loop exam review workflow (pending_review → publish) with
  new review controller and status transitions.
- encoach.ai.prompt model + versioning + admin editor endpoints (one
  active version per key, render-preview dry run).
- Student feedback loop → encoach.ai.feedback (upsert per user/subject,
  admin triage + resolve endpoints).
- GDPR export (/api/gdpr/export) and right-to-erasure (/api/gdpr/delete)
  with anonymization, tombstone record, and admin-self-erasure guard.
- HttpCase smoke tests for /api/health and /api/health/ready.

Made-with: Cursor

custom_addons/encoach_placement/controllers/placement.py

@@ -8,6 +8,7 @@ from odoo.http import request
 from odoo.addons.encoach_api.controllers.base import (
     jwt_required, _json_response, _error_response, _get_json_body, _paginate
 )
+from odoo.addons.encoach_ai.services.cefr_mapper import theta_to_cefr as _theta_to_cefr
 
 _logger = logging.getLogger(__name__)
 
@@ -15,18 +16,6 @@ LEARNING_RATE = 0.3
 SEM_THRESHOLD = 0.3
 MAX_QUESTIONS = 40
 
-THETA_CEFR = [
-    (-3.0, 'pre_a1'), (-2.0, 'a1'), (-1.0, 'a2'),
-    (0.0, 'b1'), (1.0, 'b2'), (2.0, 'c1'), (3.0, 'c2'),
-]
-
-
-def _theta_to_cefr(theta):
-    for boundary, level in THETA_CEFR:
-        if theta <= boundary:
-            return level
-    return 'c2'
-
 
 def _irt_probability(theta, a, b, c):
     """3PL IRT probability."""