Add AI stack configuration: ELAI avatars, system params, training tips import

- Add ELAI avatar seed data (7 avatars with codes, URLs, voice configs)
  from the original backend's avatars.json
- Add missing system parameters: encoach.aws_region (eu-west-1),
  encoach.whisper_workers (4)
- Add training tips import script with pathways_2_rw.json data source
- Add action_compute_embeddings() method to training tip model for
  computing sentence-transformer embeddings on demand

Made-with: Cursor

encoach_ai_media/__manifest__.py

@@ -7,6 +7,7 @@
     "depends": ["encoach_ai"],
     "data": [
         "security/ir.model.access.csv",
+        "data/elai_avatars.xml",
         "views/avatar_views.xml",
     ],
     "installable": True,

encoach_ai_media/data/elai_avatars.xml

@@ -0,0 +1,74 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<odoo>
+    <data noupdate="1">
+        <record id="avatar_gia" model="encoach.elai.avatar">
+            <field name="name">Gia</field>
+            <field name="avatar_code">gia.business</field>
+            <field name="avatar_url">https://elai-avatars.s3.us-east-2.amazonaws.com/common/gia/business/gia_business.png</field>
+            <field name="gender">female</field>
+            <field name="canvas">https://elai-avatars.s3.us-east-2.amazonaws.com/common/gia/business/gia_business.png</field>
+            <field name="voice_id">EXAVITQu4vr4xnSDxMaL</field>
+            <field name="voice_provider">elevenlabs</field>
+        </record>
+
+        <record id="avatar_vadim" model="encoach.elai.avatar">
+            <field name="name">Vadim</field>
+            <field name="avatar_code">vadim.business</field>
+            <field name="avatar_url">https://elai-avatars.s3.us-east-2.amazonaws.com/common/vadim/business/vadim_business.png</field>
+            <field name="gender">male</field>
+            <field name="canvas">https://d3u63mhbhkevz8.cloudfront.net/common/vadim/business/vadim_business.png</field>
+            <field name="voice_id">flq6f7yk4E4fJM5XTYuZ</field>
+            <field name="voice_provider">elevenlabs</field>
+        </record>
+
+        <record id="avatar_orhan" model="encoach.elai.avatar">
+            <field name="name">Orhan</field>
+            <field name="avatar_code">orhan.business</field>
+            <field name="avatar_url">https://elai-avatars.s3.us-east-2.amazonaws.com/common/orhan/business/orhan.png</field>
+            <field name="gender">male</field>
+            <field name="canvas">https://d3u63mhbhkevz8.cloudfront.net/common/orhan/business/orhan.png</field>
+            <field name="voice_id">en-US-AndrewMultilingualNeural</field>
+            <field name="voice_provider">azure</field>
+        </record>
+
+        <record id="avatar_flora" model="encoach.elai.avatar">
+            <field name="name">Flora</field>
+            <field name="avatar_code">flora.business</field>
+            <field name="avatar_url">https://elai-avatars.s3.us-east-2.amazonaws.com/common/flora/business/flora_business.png</field>
+            <field name="gender">female</field>
+            <field name="canvas">https://d3u63mhbhkevz8.cloudfront.net/common/flora/business/flora_business.png</field>
+            <field name="voice_id">en-US-JaneNeural</field>
+            <field name="voice_provider">azure</field>
+        </record>
+
+        <record id="avatar_scarlett" model="encoach.elai.avatar">
+            <field name="name">Scarlett</field>
+            <field name="avatar_code">scarlett.business</field>
+            <field name="avatar_url">https://elai-avatars.s3.us-east-2.amazonaws.com/common/scarlett/business/scarlett_business.png</field>
+            <field name="gender">female</field>
+            <field name="canvas">https://d3u63mhbhkevz8.cloudfront.net/common/scarlett/business/scarlett_business.png</field>
+            <field name="voice_id">en-US-NancyNeural</field>
+            <field name="voice_provider">azure</field>
+        </record>
+
+        <record id="avatar_parker" model="encoach.elai.avatar">
+            <field name="name">Parker</field>
+            <field name="avatar_code">parker.casual</field>
+            <field name="avatar_url">https://elai-avatars.s3.us-east-2.amazonaws.com/common/parker/casual/parker_casual.png</field>
+            <field name="gender">male</field>
+            <field name="canvas">https://d3u63mhbhkevz8.cloudfront.net/common/parker/casual/parker_casual.png</field>
+            <field name="voice_id">en-US-TonyNeural</field>
+            <field name="voice_provider">azure</field>
+        </record>
+
+        <record id="avatar_ethan" model="encoach.elai.avatar">
+            <field name="name">Ethan</field>
+            <field name="avatar_code">ethan.business</field>
+            <field name="avatar_url">https://elai-avatars.s3.us-east-2.amazonaws.com/common/ethan/business/ethan_business_low.png</field>
+            <field name="gender">male</field>
+            <field name="canvas">https://d3u63mhbhkevz8.cloudfront.net/common/ethan/business/ethan_business_low.png</field>
+            <field name="voice_id">en-US-JasonNeural</field>
+            <field name="voice_provider">azure</field>
+        </record>
+    </data>
+</odoo>

encoach_core/data/constants.xml

@@ -32,6 +32,19 @@
             <field name="key">encoach.gptzero_api_key</field>
             <field name="value"></field>
         </record>
+
+        <!-- AWS region for Polly TTS -->
+        <record id="param_aws_region" model="ir.config_parameter">
+            <field name="key">encoach.aws_region</field>
+            <field name="value">eu-west-1</field>
+        </record>
+
+        <!-- Whisper STT worker count -->
+        <record id="param_whisper_workers" model="ir.config_parameter">
+            <field name="key">encoach.whisper_workers</field>
+            <field name="value">4</field>
+        </record>
+
         <record id="param_stripe_secret" model="ir.config_parameter">
             <field name="key">encoach.stripe_secret_key</field>
             <field name="value"></field>

encoach_training/models/training_tip.py

@@ -1,4 +1,9 @@
-from odoo import models, fields
+import logging
+import pickle
+
+from odoo import api, models, fields
+
+_logger = logging.getLogger(__name__)
 
 
 class EncoachTrainingTip(models.Model):
@@ -20,3 +25,24 @@ class EncoachTrainingTip(models.Model):
     )
     content = fields.Text(required=True)
     embedding = fields.Binary(string="FAISS Embedding Vector")
+
+    def action_compute_embeddings(self):
+        """Compute sentence-transformer embeddings for tips missing them."""
+        try:
+            from sentence_transformers import SentenceTransformer
+            import numpy as np
+        except ImportError:
+            _logger.error("sentence-transformers not installed; cannot compute embeddings")
+            return
+
+        tips = self.search([("embedding", "=", False)])
+        if not tips:
+            _logger.info("All tips already have embeddings")
+            return
+
+        model = SentenceTransformer("all-MiniLM-L6-v2")
+        for tip in tips:
+            vec = model.encode([tip.content]).astype(np.float32)[0]
+            tip.embedding = pickle.dumps(vec)
+
+        _logger.info("Computed embeddings for %d tips", len(tips))

scripts/import_training_tips.py

@@ -0,0 +1,76 @@
+"""Import training tips from pathways JSON into encoach.training.tip model.
+
+Run inside the Odoo container via:
+    odoo shell -d encoach < /mnt/custom/scripts/import_training_tips.py
+
+This script:
+  1. Reads pathways_2_rw.json
+  2. Creates encoach.training.tip records (tip_id, category, content)
+  3. Computes sentence-transformer embeddings and stores them
+"""
+import json
+import os
+import pickle
+import sys
+
+SCRIPT_DIR = os.path.dirname(os.path.abspath(__file__))
+JSON_PATH = os.path.join(SCRIPT_DIR, "pathways_2_rw.json")
+
+
+def main():
+    with open(JSON_PATH, "r", encoding="utf-8") as f:
+        data = json.load(f)
+
+    TipModel = env["encoach.training.tip"].sudo()
+
+    tips_data = []
+    for unit in data["units"]:
+        for page in unit["pages"]:
+            for tip in page["tips"]:
+                category = tip["category"].lower().replace(" ", "_")
+                tips_data.append({
+                    "tip_id": tip["id"],
+                    "category": category,
+                    "content": tip["text"],
+                })
+
+    created = 0
+    skipped = 0
+    for td in tips_data:
+        existing = TipModel.search([("tip_id", "=", td["tip_id"])], limit=1)
+        if existing:
+            skipped += 1
+            continue
+        TipModel.create(td)
+        created += 1
+
+    env.cr.commit()
+    print(f"Tips import complete: {created} created, {skipped} skipped (already exist)")
+
+    try:
+        from sentence_transformers import SentenceTransformer
+        import numpy as np
+
+        print("Computing embeddings with all-MiniLM-L6-v2...")
+        model = SentenceTransformer("all-MiniLM-L6-v2")
+
+        tips = TipModel.search([("embedding", "=", False)])
+        if not tips:
+            print("All tips already have embeddings.")
+            return
+
+        for i, tip in enumerate(tips):
+            vec = model.encode([tip.content]).astype(np.float32)[0]
+            tip.embedding = pickle.dumps(vec)
+            if (i + 1) % 10 == 0:
+                print(f"  Embedded {i + 1}/{len(tips)} tips...")
+
+        env.cr.commit()
+        print(f"Embeddings computed for {len(tips)} tips.")
+
+    except ImportError:
+        print("WARNING: sentence-transformers not available. Tips created without embeddings.")
+        print("Embeddings can be computed later by re-running this script.")
+
+
+main()