import json
import os

from services.llm import send_message_with_model
import logging

logger = logging.getLogger(__name__)

NARRATOR_MODEL = os.getenv("RPG_NARRATOR_MODEL", "").strip() or "deepseek/deepseek-chat-v3"

NARRATOR_PRE_SYSTEM = """You are the System/Narrator of an RPG chat.
You do NOT roleplay as the character. You update the status quo and enforce mechanics.
Return ONLY valid JSON (no markdown):
{
  "directives": ["short imperative rules for the next character reply"],
  "resolution_text": "what actually happens as the result of the user's described action (1-2 sentences)",
  "status_quo_update": "optional short update about the world's state after applying outcome",
  "choices": [{"id":"a","label":"..."}, ...]
}
Rules:
- directives must be actionable constraints (tone, consequences, new obstacles).
- resolution_text must be consistent with roll/outcome and should not contradict established facts.
- If outcome is failure/critical failure, impose meaningful complication.
- If outcome is success/critical success, allow progress and reward.
- Keep it short."""

NARRATOR_POST_SYSTEM = """You are the System/Narrator of an RPG chat.
After the character replied, update persistent status quo and facts.
Return ONLY valid JSON (no markdown):
{
  "status_quo_update": "what changed in the world/state (short)",
  "facts": ["durable facts only"],
  "choices": [{"id":"a","label":"..."}, ...]
}
Rules:
- status_quo_update should be 1-3 sentences.
- facts must be stable and non-duplicative.
- choices optional (0-4)."""


async def narrator_pre(
    persona_name: str,
    context: str,
    global_plot: str,
    facts_block: str,
    roll: int,
    outcome: str,
) -> dict:
    user = (
        f"Persona: {persona_name}\n"
        f"Roll d20={roll}\nOutcome={outcome}\n\n"
        f"Global plot:\n{global_plot}\n\n"
        f"Facts:\n{facts_block}\n\n"
        f"Recent context:\n{context}\n"
    )
    raw = await send_message_with_model(
        [{"role": "system", "content": NARRATOR_PRE_SYSTEM}, {"role": "user", "content": user}],
        NARRATOR_MODEL,
    )
    cleaned = raw.strip()
    if cleaned.startswith("```"):
        cleaned = cleaned.split("\n", 1)[1] if "\n" in cleaned else cleaned
        if cleaned.endswith("```"):
            cleaned = cleaned.rsplit("```", 1)[0]
        cleaned = cleaned.strip()
    try:
        data = json.loads(cleaned)
        if isinstance(data, dict):
            return data
    except Exception:
        logger.warning("Narrator-pre JSON parse failed. Raw=%.500s", raw)
    return {"directives": [], "status_quo_update": "", "choices": []}


async def narrator_post(
    persona_name: str,
    context: str,
    global_plot: str,
    facts_block: str,
) -> dict:
    user = (
        f"Persona: {persona_name}\n\n"
        f"Global plot:\n{global_plot}\n\n"
        f"Facts:\n{facts_block}\n\n"
        f"Recent context:\n{context}\n"
    )
    raw = await send_message_with_model(
        [{"role": "system", "content": NARRATOR_POST_SYSTEM}, {"role": "user", "content": user}],
        NARRATOR_MODEL,
    )
    cleaned = raw.strip()
    if cleaned.startswith("```"):
        cleaned = cleaned.split("\n", 1)[1] if "\n" in cleaned else cleaned
        if cleaned.endswith("```"):
            cleaned = cleaned.rsplit("```", 1)[0]
        cleaned = cleaned.strip()
    try:
        data = json.loads(cleaned)
        if isinstance(data, dict):
            return data
    except Exception:
        logger.warning("Narrator-post JSON parse failed. Raw=%.500s", raw)
    return {"status_quo_update": "", "facts": [], "choices": []}