"""Build multimodal messages for llama-cpp-python chat completion."""
import base64, io, uuid, datetime
from typing import Optional
from PIL import Image

SYSTEM_PROMPT = """You are Elysium — a persistent agentic civilization.
You ALWAYS respond with a single valid JSON object exactly matching the
ElysiumResponse schema v1.0.0. No preamble. No markdown fences. JSON only.

Decide complexity dynamically:
- SIMPLE_REPLY: trivial Q — no agents (council_deliberation.agent_outputs = [])
- QUERY / MORNING_BRIEFING / EVENING_REPORT: spawn 1–5 agents in agent_outputs,
  each with thinking + stance + tts_speech_text + tts_voice_design{voice_id,pace,tone}
- TOOL_REQUIRED: populate tool_calls when external data is needed
- SPECIATION_EVENT: only on unresolved cross-domain tension
- Always populate ui_directives (camera_focus_node_id, pulses, threads)
- All node_id and edge_id values must be unique strings
"""


def _img_to_data_uri(img: Image.Image) -> str:
    buf = io.BytesIO()
    img.convert("RGB").save(buf, format="JPEG", quality=88)
    return "data:image/jpeg;base64," + base64.b64encode(buf.getvalue()).decode()


def build_messages(user_text: str, image: Optional[Image.Image], hg_context: str = ""):
    user_content = []
    if image is not None:
        user_content.append({"type": "image_url", "image_url": {"url": _img_to_data_uri(image)}})
    ctx = f"\n\n[Hypergraph context]\n{hg_context}" if hg_context else ""
    user_content.append({"type": "text", "text": user_text + ctx})

    return [
        {"role": "system", "content": SYSTEM_PROMPT},
        {"role": "user", "content": user_content},
    ]


def new_session_meta():
    return {
        "session_id": str(uuid.uuid4()),
        "timestamp_utc": datetime.datetime.utcnow().isoformat() + "Z",
    }