backend/agent/personas.py

from typing import Dict
from modules.assistant_identity import set_mode, get_identity_persona_prompt

# ── §2.1b Space Context Voice Injection ──────────────────────────────────────
# Persona-specific acknowledgement phrases for space transitions.
# {space} is substituted with the canonical space name at call time.
# Two variants per persona: one for each direction of the toggle.
SPACE_ACK_PROMPTS = {
    "jarvis": {
        "dark_space":        "Switching to Dark Space. Adjusting parameters accordingly, sir.",
        "family_friendly":   "Switching to Family Friendly mode, sir. Filters engaged.",
    },
    "friday": {
        "dark_space":        "Got it — moving into Dark Space mode for you, boss.",
        "family_friendly":   "Family Friendly mode activated. All good, boss.",
    },
}

def get_space_ack_prompt(persona: str, space_key: str) -> str:
    """
    Returns the correct persona+space acknowledgement string.
    space_key must be 'dark_space' or 'family_friendly'.
    Falls back gracefully for unknown keys.
    """
    persona = (persona or "friday").lower()
    space_key = (space_key or "dark_space").lower().replace(" ", "_")
    prompts = SPACE_ACK_PROMPTS.get(persona, SPACE_ACK_PROMPTS["friday"])
    return prompts.get(space_key, f"Space changed to {space_key.replace('_', ' ')}.")

def inject_persona(active_persona: str, user_transcript: str) -> Dict[str, str]:
    """Injects persona logic before sending to LLM router using the central identity system."""
    # Temporarily set mode to ensure we get the correct prompt
    set_mode(active_persona.lower())
    
    # Retrieve the massive detailed identity prompt from central config
    system_prompt = get_identity_persona_prompt()
    
    print(f"V15 Voice Pipeline: Applying {active_persona} persona context from central identity module.")
    return {
        "system_prompt": system_prompt,
        "transcript": user_transcript
    }