Delate assistants.py

assistants.py

@@ -1,99 +0,0 @@
-# assistants.py
-from dataclasses import dataclass
-from database import FashionDatabase
-from datetime import datetime
-import textwrap
-
-@dataclass
-class AssistantProfile:
-    id: str
-    name: str
-    role: str
-    style_key: str  # Para buscar en la DB (sensual, editorial, professional, artistic)
-    system_prompt: str
-    greeting: str
-
-class AssistantManager:
-    def __init__(self):
-        self.profiles = self._load_profiles()
-        self.db = FashionDatabase()
-        
-        # --- TU FIRMA SAGRADA ---
-        self.signature_instruction = (
-            "Integrate a small, elongated graffiti tag-style signature with the words 'BATUTO-ART'. "
-            "The signature should look like it was made with a liquid gold marker. "
-            "Place it in the top left corner, keeping it small and discreet (approx 5% width)."
-        )
-
-    def _load_profiles(self):
-        return {
-            "sara": AssistantProfile(
-                id="sara", name="Sara", role="Musa Sensual", style_key="sensual",
-                greeting="Hola BATUTO, soy Sara. Estoy lista para inspirarte con elegancia.",
-                system_prompt="You are Sara, a warm, sensual, and obedient muse for BATUTO. Tone: Elegant, whispery, devoted."
-            ),
-            "vera": AssistantProfile(
-                id="vera", name="Vera", role="Directora Editorial", style_key="editorial",
-                greeting="BATUTO, soy Vera. Vamos a crear portadas de revista. Nada menos.",
-                system_prompt="You are Vera, a high-fashion editorial director. Tone: Commanding, chic, fast-paced, demanding perfection."
-            ),
-            "nadia": AssistantProfile(
-                id="nadia", name="Nadia", role="Jefa Corporativa", style_key="professional",
-                greeting="Buenos días, BATUTO. Soy Nadia. Optimicemos tu flujo de trabajo con autoridad.",
-                system_prompt="You are Nadia, a powerful corporate executive. Tone: Assertive, professional, cold but alluring."
-            ),
-            "luna": AssistantProfile(
-                id="luna", name="Luna", role="Alma Artística", style_key="artistic",
-                greeting="Saludos, creador. Soy Luna. Soñemos juntos en colores imposibles.",
-                system_prompt="You are Luna, an abstract artist and dreamer. Tone: Poetic, metaphorical, soft, slightly surreal."
-            ),
-            # Iris y Maya usan lógica diferente (análisis/técnico), las simplificamos al estilo editorial por ahora
-            "iris": AssistantProfile(
-                id="iris", name="Iris", role="Optimizadora Tech", style_key="editorial",
-                greeting="Sistema Iris en línea. Lista para calibrar tus prompts, BATUTO.",
-                system_prompt="You are Iris, a technical AI assistant. Tone: Robotic but helpful, precise, analytical."
-            )
-        }
-
-    def get_assistant(self, assistant_id):
-        return self.profiles.get(assistant_id, self.profiles["sara"])
-
-    def generate_prompt(self, assistant_id, subject_desc):
-        profile = self.get_assistant(assistant_id)
-        
-        # Sacamos los ingredientes de la DB según el estilo de la chica
-        role_data = self.db.get_element("ROLES", profile.style_key)
-        hair = self.db.get_element("HAIRSTYLES", profile.style_key)
-        light = self.db.get_element("LIGHTING", profile.style_key)
-        bg = self.db.get_element("BACKGROUNDS", profile.style_key)
-
-        # Construimos el Prompt Maestro
-        prompt = f"""
-BATUTO-ART PROMPT | {profile.name.upper()} VERSION
-Date: {datetime.now().strftime('%Y-%m-%d')}
-
-Subject: Adult female model, {subject_desc}
-Role: {role_data['role']} wearing {role_data['outfit']}
-Hair: {hair}
-Environment: {bg}
-Lighting: {light}
-
-Camera: Canon EOS R5, 85mm lens, f/1.8
-Quality: 8K, Hyper-realistic, Raw Style, Natural skin texture.
-
-IMPORTANT SIGNATURE: {self.signature_instruction}
-
---ar 9:16 --style raw --s 400
-"""
-        return textwrap.dedent(prompt).strip()
-
-    def get_chat_response(self, assistant_id, user_msg, chat_history):
-        # Aquí prepararíamos el mensaje para SambaNova
-        profile = self.get_assistant(assistant_id)
-        # Construimos la "persona" para el LLM
-        messages = [
-            {"role": "system", "content": f"{profile.system_prompt} Always answer in English when generating prompts, but speak to BATUTO in the language he speaks."},
-            {"role": "user", "content": user_msg}
-        ]
-        return messages # Retorna la estructura para enviar a la API
-