feat(personas): 'create persona from this persona' (variant) — practice the same challenge, new identity
Each persona is one-shot (chat once = win/lose locked). To keep training repeatable: - New endpoint POST /api/groups/<gid>/personas/<pid>/variant creates a NEW persona that is a fresh incarnation of the source: LOCKS pain points, objections, negotiation levers, tolerance, special/recontact, goal, budget, difficulty, tier, product_context — but VARYS name/profession/age/location/background/personality/opener so it isn't an identical copy. - Added to the same group as a distinct persona (fresh not_tried, so chat-able again). - UI: on the Personas page, a finished (won/lost) persona gets a 'สร้างบุคคลต้นแบบจากต้นแบบนี้' button; reload shows the variant. All 10 backend suites pass. Rebuilt dist.
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@@ -338,6 +338,53 @@ def update_persona(gid: str, pid: str):
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return jsonify({"persona": strip_secret_fields(full)})
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@groups_bp.post("/<gid>/personas/<pid>/variant")
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@require_auth
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def create_persona_variant(gid: str, pid: str):
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"""Create a NEW persona cloned from an existing one (fresh identity, same core traits).
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Lets a trainee practice the SAME selling challenge repeatedly even though each persona
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can only be chatted once — the variant is a different person with the same pain points /
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personality / temperament, so the training repeats but never as an identical copy.
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Anyone who has access to the group can create a variant (admin or trainee).
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"""
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s = _stores()
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group = _get_owned_group(s, gid)
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if group.get("status") != "ready":
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raise ApiError("group not ready", 403)
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src = next((p for p in group.get("personas", []) if p.get("id") == pid), None)
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if src is None:
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raise ApiError("persona not found", 404)
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lang = (group.get("input") or {}).get("language", "th")
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try:
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from ..services.persona_generator import PersonaGenerator
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variant = PersonaGenerator(s["llm"]).generate_variant(
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source=src,
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sales_kit=group.get("sales_kit") or {},
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language=lang,
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)
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except Exception as exc:
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raise ApiError(f"variant failed: {exc}", 500)
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# Assign a unique id and append to the group (keeps existing personas/sessions intact).
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import uuid as _uuid
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variant["id"] = f"persona-{_uuid.uuid4().hex[:10]}"
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variant["source_persona_id"] = pid
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personas = group.get("personas", []) + [variant]
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s["groups"].update(gid, personas=personas)
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full = ensure_persona_shape(variant)
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actor = current_user()
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if actor.get("role") == "super_admin":
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persona_out = full
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elif actor.get("role") == "user":
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persona_out = revealable_view(full)
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else:
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persona_out = strip_secret_fields(full)
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return jsonify({"persona": persona_out}), 201
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@groups_bp.delete("/<gid>")
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@require_auth
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@require_roles("admin")
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@@ -87,8 +87,76 @@ class PersonaGenerator:
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p["special"] = "wrong_text"
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break
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if len(normalized) < 8:
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raise ValueError(f"expected ~15 personas, generated only {len(normalized)}")
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# NOTE: if we're short of 15 (real LLMs occasionally return 14), we ACCEPT what we
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# got rather than crashing the whole analyze — with TARGET=15 there's normally no gap.
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return normalized
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def generate_variant(
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self,
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source: dict[str, Any],
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sales_kit: dict[str, Any] | None = None,
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language: str = "en",
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) -> dict[str, Any]:
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"""Create ONE new persona that is a fresh incarnation of a source persona.
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The variant LOCKS the source's core traits — pain points, objections, negotiation
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levers, tolerance (temper), and any special/recontact behavior — so it practices the
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SAME selling challenge, but gets a NEW identity (name, profession, age, location,
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background, personality, income, opener) so it isn't an identical copy.
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Because the seller already knows how this customer 'plays', we vary the new identity
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so the trainee still has to re-read and re-adjust rather than memorizing exact answers.
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"""
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kit_note = (
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f"Sales Kit\\n{json.dumps(sales_kit, ensure_ascii=False)[:6000]}"
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if sales_kit
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else ""
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)
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src = json.dumps(
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{
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"pains": source.get("pains", []),
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"objections": source.get("objections", []),
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"negotiation_levers": source.get("negotiation_levers", []),
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"tolerance": source.get("tolerance", 3),
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"special": source.get("special", ""),
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"recontact": source.get("recontact", False),
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"goal": source.get("goal", ""),
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"decision_timeline": source.get("decision_timeline", ""),
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"budget": source.get("budget", ""),
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"difficulty": source.get("difficulty", 1),
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"tier": source.get("tier", "B"),
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"product_context": source.get("product_context", ""),
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},
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ensure_ascii=False,
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)
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lang_name = "Thai" if language == "th" else "English"
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prompt = (
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f"Create ONE new, realistic customer persona that is a fresh incarnation of an existing one.\n"
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f"Language: {lang_name} (all text in {lang_name})\n"
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f"{kit_note}\n"
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f"LOCK (keep exactly these — they drive the training): pains[], objections[], "
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f"negotiation_levers[], tolerance, special, recontact, goal, decision_timeline, "
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f"budget, difficulty, tier, product_context.\n"
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f"VARY (make DIFFERENT so it's not a copy): name, profession, age_group, location, "
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f"background, income, lifestyle, personality, communication_style, opener, and any "
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f"surface small-talk. Keep it consistent with the locked traits (a customer with the "
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f"same pain would believably have a different name/job/life).\n"
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f"Output exactly one JSON object for the persona.\n"
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)
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result = self.llm.complete_json(
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PERSONA_SYSTEM, prompt, temperature=0.9, max_tokens=3000
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)
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variant = result if isinstance(result, dict) else {}
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# Accept either a single persona object or a {"personas": [...]} container.
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if isinstance(variant.get("personas"), list) and variant["personas"]:
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variant = variant["personas"][0]
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if not isinstance(variant, dict) or not variant.get("name"):
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raise ValueError("variant generator returned no persona")
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# Lock the core traits regardless of what the LLM chose to change.
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for locked in ("pains", "objections", "negotiation_levers", "tolerance",
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"special", "recontact", "goal", "decision_timeline", "budget",
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"difficulty", "tier", "product_context"):
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if locked in source:
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variant[locked] = source.get(locked)
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variant.setdefault("initiation_mode", source.get("initiation_mode", "customer"))
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variant.setdefault("channel", source.get("channel", "social"))
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variant.setdefault("pains", source.get("pains", []))
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return variant
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