Sales Trainer v0.1: corporate sales-training simulator (Flask+Vue, 15 personas, chat simulator, judge, analytics)

- Auth/roles (no self-reg), admin user provision, JWT
- Analyze: sales kit + initial pain-fit from form/upload
- Persona generator: 15 personas (5/tier) w/ pain variety, negotiation, init mode, channel, latent/revealable, wrong_text special
- Chat simulator: per-mode initiation, one-shot, hidden signals, judge-LLM debrief+coaching
- Trainee loop: win/lose board, weak-areas, user-generated personas
- Admin analytics; EN+TH Vue SPA served by Flask
- Deploy: Dockerfile, docker-compose, README, eng-log + HANDOFF
- Tests (mock LLM): m0/m1/routes/e2e all pass

backend/app/services/store.py

@@ -0,0 +1,75 @@
+"""Persona data model + shape normalization.
+
+A persona has a canonical schema. Fields are split into:
+  - revealable: shown to trainees up front (what a real seller could plausibly know)
+  - latent: hidden until the conversation ends (pain, income, personality, budget,
+    negotiation levers, hidden opener, etc.)
+Every persona also carries an `intent_tier` (A/B/C), an `initiation_mode`
+(customer/seller), a `channel` (facebook/line), a set of `pains` with resolution
+conditions, `negotiation_levers`, and optional `special` flags (e.g. wrong_text).
+"""
+from __future__ import annotations
+
+from typing import Any
+
+DEFAULT_TIERS = ["A", "B", "C"]
+
+
+def ensure_persona_shape(p: dict[str, Any]) -> dict[str, Any]:
+    """Fill defaults so a persona dict is always structurally complete."""
+    pid = p.get("id") or p.get("name", "persona")
+    base = {
+        "id": pid,
+        "name": p.get("name", ""),
+        "tier": p.get("tier", p.get("intent_tier", "B")),
+        "initiation_mode": p.get("initiation_mode", "customer"),  # customer | seller
+        "channel": p.get("channel", "facebook"),                  # facebook | line
+        # revealable
+        "profession": p.get("profession", ""),
+        "age_group": p.get("age_group", ""),
+        "location": p.get("location", ""),
+        "product_context": p.get("product_context", ""),
+        # latent (hidden until end)
+        "background": p.get("background", ""),
+        "income": p.get("income", ""),
+        "lifestyle": p.get("lifestyle", ""),
+        "personality": p.get("personality", ""),
+        "communication_style": p.get("communication_style", ""),
+        "budget": p.get("budget", ""),
+        "decision_timeline": p.get("decision_timeline", ""),
+        "goal": p.get("goal", ""),
+        "objections": p.get("objections", []),
+        "pains": p.get("pains", []),
+        "negotiation_levers": p.get("negotiation_levers", []),
+        "opener": p.get("opener", ""),
+        "special": p.get("special", ""),       # e.g. "wrong_text" | ""
+        "difficulty": p.get("difficulty", 1),  # 1..5
+        "notes": p.get("notes", ""),
+    }
+    # validate
+    if base["tier"] not in DEFAULT_TIERS:
+        base["tier"] = "B"
+    if base["initiation_mode"] not in ("customer", "seller"):
+        base["initiation_mode"] = "customer"
+    if base["channel"] not in ("facebook", "line"):
+        base["channel"] = "facebook"
+    return base
+
+
+def revealable_view(p: dict[str, Any]) -> dict[str, Any]:
+    """Return ONLY the fields a trainee may see before/while chatting."""
+    return {
+        "id": p.get("id"),
+        "name": p.get("name"),
+        "tier": p.get("tier"),
+        "channel": p.get("channel"),
+        "initiation_mode": p.get("initiation_mode"),
+        "profession": p.get("profession"),
+        "age_group": p.get("age_group"),
+        "location": p.get("location"),
+        "product_context": p.get("product_context"),
+    }
+
+
+def full_view(p: dict[str, Any]) -> dict[str, Any]:
+    return ensure_persona_shape(p)