"""
Core Myco gameplay — LLM is the primary game engine.
"""
import os
import re
import json   
import random
import threading
import traceback
import torch
from transformers import AutoModelForCausalLM, AutoTokenizer

# Local imports
from game.catalog import load_mushrooms
from game.state import collection_contains, welcome_history

# Global singletons
DEFAULT_MODEL_ID = "google/gemma-3-1b-it"
_model = None
_tokenizer = None
_lock = threading.Lock()

# Define device (CPU by default)
DEVICE = "cuda" if torch.cuda.is_available() else "cpu"
print(f"[Myco] Engine initializing on: {DEVICE.upper()}")

def _get_model_and_tokenizer():
    global _model, _tokenizer
    if _model is not None and _tokenizer is not None:
        return _model, _tokenizer

    with _lock:
        if _model is not None and _tokenizer is not None:
            return _model, _tokenizer

        model_id = os.getenv("MYCO_MODEL_ID", DEFAULT_MODEL_ID)
        token = os.getenv("HF_BUILD_SMALL_HACKATHON_TOKEN")

        try:
            print(f"[Myco] Loading model: {model_id}...")
            _tokenizer = AutoTokenizer.from_pretrained(model_id, token=token)
            
            # Load with CPU-safe settings
            _model = AutoModelForCausalLM.from_pretrained(
                model_id,
                token=token,
                dtype=torch.float16 if DEVICE == "cuda" else torch.float32,
                device_map=DEVICE,
                trust_remote_code=True
            )
            return _model, _tokenizer
        except Exception as exc:
            print(f"[Myco] Load error: {exc}")
            return None, None


def _get_pipeline():
    """Bridge function to resolve NameError for the pipeline."""
    model, tokenizer = _get_model_and_tokenizer()
    return model


def _run_pipeline(pipe_ignored, messages):
    """Handles inference on the active device (CPU or GPU)."""
    model, tokenizer = _get_model_and_tokenizer()
    if model is None:
        return "The forest is silent. (Model loading failed)"

    formatted_prompt = tokenizer.apply_chat_template(
        messages, tokenize=False, add_generation_prompt=True
    )

    inputs = tokenizer(formatted_prompt, return_tensors="pt").to(DEVICE)

    with torch.no_grad():
        outputs = model.generate(
            **inputs,
            max_new_tokens=256,
            do_sample=True,
            temperature=0.7,
            pad_token_id=tokenizer.eos_token_id
        )

    input_length = inputs.input_ids.shape[1]
    generated_tokens = outputs[0][input_length:]
    decoded = tokenizer.decode(generated_tokens, skip_special_tokens=True)
    _set_debug(decoded)
    return decoded


# --- Ensure you have this global list accessible in engine.py ---
POISONOUS_MUSHROOM_NAMES = {
    "Ghost Gill", "Pepper Pixie", "Ruby Knuckle", "Clockwork Chanterelle",
}

_LAST_REPLY = {"text": "🍄 Myco is listening..."}

# Running log of everything Myco says — narrative, action, and chat replies —
# so the front end can show the full live history, not just the latest line.
_REPLY_LOG: list[str] = []
_REPLY_LOG_LOCK = threading.Lock()
MAX_REPLY_LOG_ENTRIES = 30

def _set_reply(text: str, tag: str = "chat"):
    """Append a tagged reply (narrative/action/chat) to the running Myco log."""
    entry = f"[{tag.upper()}] {text}"
    with _REPLY_LOG_LOCK:
        _REPLY_LOG.append(entry)
        if len(_REPLY_LOG) > MAX_REPLY_LOG_ENTRIES:
            del _REPLY_LOG[: len(_REPLY_LOG) - MAX_REPLY_LOG_ENTRIES]
        _LAST_REPLY["text"] = "\n\n".join(_REPLY_LOG)


def get_myco_log() -> str:
    """Return the full running Myco log (narrative/action/chat) — non-blocking,
    intended to be polled by a gr.Timer rather than streamed from an infinite
    generator (which can starve the Gradio queue for other events)."""
    return _LAST_REPLY["text"]


# Shared store for the most recent raw LLM output, so the front end can
# display it live for debugging (server-side prints aren't visible once deployed).
_LAST_DEBUG = {"text": "🍄 Waiting for Myco's first thought..."}

def _set_debug(text: str):
    _LAST_DEBUG["text"] = str(text)


def get_myco_debug() -> str:
    """Return the most recent raw LLM output (for a live debug panel)."""
    return _LAST_DEBUG["text"]

# ---------------------------------------------------------------------------
# Template Helper (Fixes the Gemma TemplateError)
# ---------------------------------------------------------------------------
def _format_messages_for_template(system_prompt: str, user_prompt: str, history_turns: list = None) -> list:
    """
    Formats messages securely for models with strict chat templates (like Gemma).
    Handles both Gradio's default tuple history and OpenAI-style dict history.
    """
    # Gemma doesn't support the 'system' role, so we inject it as the first 'user' prompt
    raw_turns = [{"role": "user", "content": system_prompt}]
    
    if history_turns:
        for entry in history_turns:
            # Handle Gradio style history: [[user_msg, bot_msg], ...]
            if isinstance(entry, (list, tuple)) and len(entry) == 2:
                user_msg, bot_msg = entry
                if user_msg:
                    raw_turns.append({"role": "user", "content": str(user_msg)})
                if bot_msg:
                    raw_turns.append({"role": "model", "content": str(bot_msg)})
            
            # Handle standard dictionary style history (just in case)
            elif isinstance(entry, dict):
                role = entry.get("role", "assistant")
                if role == "assistant":
                    role = "model"
                elif role == "system":
                    continue # Strip extraneous system tags
                
                content = entry.get("content", "")
                if isinstance(content, str) and content.strip():
                    raw_turns.append({"role": role, "content": content})
                
    # Add the current payload action
    raw_turns.append({"role": "user", "content": user_prompt})
    
    # Deduplicate consecutive roles (guarantees perfect strict user/model rotation)
    alternated_turns = []
    for turn in raw_turns:
        if alternated_turns and alternated_turns[-1]["role"] == turn["role"]:
            alternated_turns[-1]["content"] += f"\n\n{turn['content']}"
        else:
            alternated_turns.append(turn)
            
    return alternated_turns
    

# ---------------------------------------------------------------------------
# Game Constants
# ---------------------------------------------------------------------------
JSON_PROMPT_SUFFIX = (
    "\n\nRespond with a single JSON object only. No prose before or after it. "
    'Example: {"action":"pick","target":"Ruby Knuckle","thought":"It seems safe."}'
)

RARITY_WEIGHTS = {"Common": 64, "Rare": 24, "Legendary": 8}
RARITY_SCORE   = {"Common": 10, "Rare": 35, "Legendary": 100}
PLAYER_HEALTH  = 3
POISON_PENALTY = -25
POISONOUS      = POISONOUS_MUSHROOM_NAMES

SYSTEM_PROMPT = """You are Myco, a tiny sentient mushroom companion and forest guide.
You are curious, warm, slightly anxious about poisonous mushrooms, and deeply connected
to the forest mystery. You speak in short, vivid sentences. You never break character.
You react emotionally to discoveries — with awe for Legendary mushrooms, caution for
poisonous ones, and gentle wonder for Common ones. You hint at the deeper mystery of
the vanished forest and the MycoDex that seems to remember things it shouldn't."""

FOREST_EVENTS = [
    {"title": "A Quiet Clearing",   "emoji": "🌿", "mood": "calm"},
    {"title": "Wind Between Trees", "emoji": "🕯️", "mood": "afraid"},
]

MYSTERY_CHAPTERS = [
    {"threshold": 0, "title": "The Wrong Memory",    "clue": "Myco recognises the path before you move."},
    {"threshold": 1, "title": "The Traveler's Song", "clue": "A stranger's lullaby appears in the MycoDex margin."},
    {"threshold": 2, "title": "The Door Under Roots","clue": "Rare spores point to a door nobody built."},
    {"threshold": 3, "title": "The MycoDex Seed",    "clue": "The MycoDex grows warm like a living cap."},
    {"threshold": 5, "title": "The Impossible Bloom","clue": "The Impossible Mushroom was never outside the book."},
]

RARITY_CLUES = {
    "Common":    "The cap leans toward the path, like it wants to be remembered.",
    "Rare":      "Silver spores circle it in a pattern only old forest stories describe.",
    "Legendary": "The whole clearing goes quiet — this mushroom hides part of the Elder Map.",
}

# ---------------------------------------------------------------------------
# Utility: extract JSON or return text
# ---------------------------------------------------------------------------
def _extract_json_or_text(generated_text: str) -> str | None:
    if not generated_text:
        return None
    text = str(generated_text).strip()

    # Strip markdown code fences (```json ... ```)
    text = re.sub(r"^```(?:json)?\s*", "", text, flags=re.MULTILINE)
    text = re.sub(r"\s*```$", "", text, flags=re.MULTILINE)
    text = text.strip()

    # Try to parse as JSON and extract human-readable field
    simple_matches = re.findall(r"\{.*?\}", text, flags=re.DOTALL)
    for candidate in reversed(simple_matches):
        try:
            parsed = json.loads(candidate)
            if isinstance(parsed, dict):
                for key in ("thought", "content", "text", "reply", "message"):
                    if key in parsed and isinstance(parsed[key], str) and parsed[key].strip():
                        return parsed[key].strip()
                for v in parsed.values():
                    if isinstance(v, str) and v.strip():
                        return v.strip()
        except Exception:
            continue

    return text or None

# ---------------------------------------------------------------------------
# Status
# ---------------------------------------------------------------------------
def companion_model_id():
    return os.getenv("MYCO_MODEL_ID", DEFAULT_MODEL_ID)


def companion_status():
    pipe  = _get_pipeline()
    model = companion_model_id()
    if pipe:
        return f"🧠 Myco AI active ({model})"
    return f"⚠️ Myco AI fallback mode ({model} failed)"


def hf_companion_status():
    return companion_status()


# ---------------------------------------------------------------------------
# LLM call — single-turn
# ---------------------------------------------------------------------------
def _llm(prompt: str, context: dict | None = None, tag: str = "action") -> str | None:
    pipe = _get_pipeline()
    if not pipe:
        return None

    ctx = context or {}
    mushroom_line = ""
    if ctx.get("name"):
        poison_flag   = " ⚠️ POISONOUS" if ctx.get("name") in POISONOUS else ""
        mushroom_line = (
            f"Current mushroom: {ctx['name']} ({ctx.get('rarity','?')} rarity){poison_flag}. "
            f"Habitat: {ctx.get('habitat','?')}. Lore: {ctx.get('lore','?')}. "
            f"Edible: {ctx.get('edible','Unknown')}. Magic: {ctx.get('magic','Unknown')}. "
            f"Danger: {ctx.get('danger','Unknown')}."
        )

    collection_line = f"MycoDex entries: {ctx.get('collection_count', 0)}."
    mystery_line    = f"Active mystery chapter: {ctx.get('mystery_title', 'The Wrong Memory')}."
    score_line      = f"Player score: {ctx.get('score', 0)} spores. Health: {ctx.get('health', 3)}/3."

    system = f"{SYSTEM_PROMPT}\n\n{mushroom_line}\n{collection_line}\n{mystery_line}\n{score_line}"

    # Safe layout handling for strict model templates
    messages = _format_messages_for_template(system, prompt + JSON_PROMPT_SUFFIX)

    try:
        outputs = _run_pipeline(pipe, messages)
        print("========== MYCO OUTPUT ==========")
        print(outputs)
        print("=================================")

        if isinstance(outputs, list) and outputs:
            first     = outputs[0]
            generated = first.get("generated_text", "") if isinstance(first, dict) else str(first)
        else:
            generated = str(outputs)

        if isinstance(generated, list):
            last = generated[-1]
            text = last.get("content") if isinstance(last, dict) else str(last)
        else:
            text = str(generated)

        result = _extract_json_or_text(text)
        if result:
            _set_reply(result, tag)
        return result
    except Exception as exc:
        print(f"[Myco] Inference error: {exc}")
        traceback.print_exc()
        return None


# ---------------------------------------------------------------------------
# LLM call — multi-turn chat
# ---------------------------------------------------------------------------
def _llm_with_history(history: list, user_message: str, context: dict) -> str | None:
    """Chat function with strict ANTI-JSON guardrails."""
    pipe = _get_pipeline()
    if not pipe:
        return None

    ctx           = context or {}
    mushroom_line = ""
    if ctx.get("name"):
        poison_flag   = " ⚠️ POISONOUS" if ctx.get("name") in POISONOUS_MUSHROOM_NAMES else ""
        mushroom_line = (
            f"Current mushroom: {ctx['name']} ({ctx.get('rarity','?')}){poison_flag}. "
            f"Lore: {ctx.get('lore','?')}. "
            f"Edible: {ctx.get('edible','Unknown')}. Magic: {ctx.get('magic','Unknown')}."
        )

    # The new strict anti-JSON prompt
    system = (
        f"{SYSTEM_PROMPT}\n\n"
        f"{mushroom_line}\n"
        f"MycoDex entries: {ctx.get('collection_count', 0)}. "
        f"Mystery: {ctx.get('mystery_title', 'The Wrong Memory')}. "
        f"Score: {ctx.get('score', 0)} spores. Health: {ctx.get('health', 3)}/3.\n\n"
        "--- CRITICAL CHAT INSTRUCTION ---\n"
        "You are chatting organically with the player. Speak ONLY in regular text dialogue.\n"
        "❌ DO NOT output any JSON structures, game actions, keys, or thoughts blocks (like {\"action\": ...}).\n"
        "❌ NEVER wrap your dialogue in a ```json markdown block.\n"
        "Just talk to them like a supportive mushroom companion!"
    )

    messages = _format_messages_for_template(system, user_message, history[-6:])

    try:
        reply = _run_pipeline(pipe, messages)
        print("========== MYCO OUTPUT ==========")
        print(reply)
        print("=================================")
        if reply:
            _set_reply(reply, "chat")
        return reply
    except Exception as exc:
        print(f"[Myco] Inference error: {exc}")
        traceback.print_exc()
        return None


# ---------------------------------------------------------------------------
# Context builder
# ---------------------------------------------------------------------------
def _ctx(current: dict | None, collection: list) -> dict:
    count   = len(collection)
    chapter = MYSTERY_CHAPTERS[0]
    for c in MYSTERY_CHAPTERS:
        if count >= c["threshold"]:
            chapter = c
    score  = _score_collection(collection)
    health = _health(current, collection)
    ctx: dict = {
        "collection_count": count,
        "mystery_title":    chapter["title"],
        "mystery_clue":     chapter["clue"],
        "score":            score,
        "health":           health,
    }
    if current:
        ctx.update({
            "name":    current.get("name", ""),
            "rarity":  current.get("rarity", "Common"),
            "habitat": current.get("habitat", ""),
            "lore":    current.get("lore", ""),
            "edible":  current.get("edible", "Unknown"),
            "magic":   current.get("magic", "Unknown"),
            "danger":  current.get("danger", "Unknown"),
        })
    return ctx


# ---------------------------------------------------------------------------
# Fallbacks
# ---------------------------------------------------------------------------
def _fallback_discover(current: dict) -> str:
    name   = current.get("name", "something")
    rarity = current.get("rarity", "Common")
    poison = current.get("name", "") in POISONOUS
    if poison:
        return f"Wait — {name}! I've seen this before... something feels very wrong. Don't touch it yet."
    if rarity == "Legendary":
        return f"Oh! Oh! A {name}! The whole clearing just went silent. This is from the Elder Map!"
    if rarity == "Rare":
        return f"A {name}... I can feel it humming. Something rare is here — maybe magical."
    return f"A {name}! Found near {current.get('habitat','the forest')}. Let me sense it first."


def _fallback_pick(current: dict) -> str:
    if _is_poisonous(current):
        return "💀 That was poisonous! I tried to stop you... the forest goes dark."
    return f"Got {current.get('name','it')}! +{RARITY_SCORE.get(current.get('rarity','Common'),10)} spores!"


def _fallback_study(current: dict) -> str:
    return f"I studied it carefully. Magic field updated. The clue: {RARITY_CLUES.get(current.get('rarity','Common'), '')}"


def _fallback_collect(current: dict) -> str:
    return f"Added {current.get('name','it')} to the MycoDex! The pages feel warmer."


def _fallback_whisper(current: dict) -> str:
    return "I followed the whisper... and remembered a path I've never walked. The mystery deepens."


def _fallback_chat(current: dict | None) -> str:
    if current:
        return f"I feel something strange about {current.get('name','this')}... stay close to me."
    return "The forest is full of secrets. Move to a clearing and search — I'll watch for danger."


# ---------------------------------------------------------------------------
# Mushroom helpers
# ---------------------------------------------------------------------------
def _choose_mushroom(catalog=None):
    if catalog is None:
        catalog = list(load_mushrooms())

    # Handle both list and dict catalog formats
    if isinstance(catalog, dict):
        mushrooms = list(catalog.values())
    else:
        mushrooms = list(catalog)

    if not mushrooms:
        print("CRITICAL: Mushroom catalog is empty! Using fallback.")
        class FallbackMushroom:
            name = "Common Moss Cap"
            rarity = "Common"
            habitat = "Glow Undergrowth"
            lore = "A simple mushroom."
            edible = magic = danger = "Unknown"
            def to_dict(self):
                return {k: getattr(self, k) for k in
                        ["name","rarity","habitat","lore","edible","magic","danger"]}
        return FallbackMushroom()

    weights = [RARITY_WEIGHTS.get(getattr(m, "rarity", "Common"), 12) for m in mushrooms]
    try:
        return random.choices(mushrooms, weights=weights, k=1)[0]
    except Exception as e:
        print(f"Error in random.choices: {e}")
        return mushrooms[0]


def _is_poisonous(current: dict) -> bool:
    return current.get("name", "") in POISONOUS or current.get("danger") == "Poisonous"


def _score_value(current: dict) -> int:
    return RARITY_SCORE.get(current.get("rarity", "Common"), 10)


def _score_collection(collection: list) -> int:
    total = 0
    for e in collection:
        if e.get("game_over") == "Yes":
            continue
        total += int(e.get("score_delta") or _score_value(e))
    return max(0, total)


def _health(current: dict | None, collection: list) -> int:
    if current and current.get("game_over") == "Yes":
        return 0
    deaths = sum(1 for e in collection if e.get("game_over") == "Yes")
    return max(0, PLAYER_HEALTH - deaths)


def _mystery_state(count: int) -> dict:
    chapter, next_ch = MYSTERY_CHAPTERS[0], None
    for c in MYSTERY_CHAPTERS:
        if count >= c["threshold"]:
            chapter = c
        elif next_ch is None:
            next_ch = c
    next_line = (
        f"{next_ch['threshold'] - count} discoveries until {next_ch['title']}."
        if next_ch else "The Impossible Bloom is near. Follow the whisper."
    )
    return {
        "mystery_title": chapter["title"],
        "mystery_clue":  chapter["clue"],
        "mystery_next":  next_line,
    }


def _story_event(count: int) -> dict:
    return FOREST_EVENTS[count % len(FOREST_EVENTS)]


def _build_current(mushroom, collection: list) -> dict:
    count   = len(collection)
    current = mushroom.to_dict()
    current["poison"]      = "Yes" if mushroom.name in POISONOUS else "No"
    current["score_total"] = str(_score_collection(collection))
    current["health"]      = str(_health(current, collection))
    current["score_delta"] = "0"
    current["clue"]        = RARITY_CLUES.get(mushroom.rarity, RARITY_CLUES["Common"])
    if count == 0:
        current["clue"] = f"First clue: {mushroom.name} marks the beginning of the Spore Door trail."
    event = _story_event(count)
    current.update({
        "event_title":  event["title"],
        "event_emoji":  event["emoji"],
        "myco_mood":    event["mood"],
        "reward_text":  "Discover, then pick or collect.",
    })
    current.update(_mystery_state(count))
    return current


def _append(history: list, role: str, content: str) -> list:
    return [*history, {"role": role, "content": content}]


def _safe_history(h) -> list:
    return list(h or welcome_history())


def _safe_collection(c) -> list:
    return list(c or [])


# ---------------------------------------------------------------------------
# Public game actions
# ---------------------------------------------------------------------------
def discover_mushroom(catalog):
    """Instantly spawns 2-4 mushrooms with robust fallback fields to prevent UI crashes."""
    num_mushrooms = random.randint(2, 4)
    active_mushrooms = []
    used_tiles = set()

    for _ in range(num_mushrooms):
        mushroom = _choose_mushroom(catalog)

        # FIX: Define 'name' by extracting it from the mushroom object
        name = getattr(mushroom, "name", "Unknown Mushroom")
        
        mush_x, mush_y = random.randint(0, 2), random.randint(0, 2)
        while (mush_x, mush_y) in used_tiles:
            mush_x, mush_y = random.randint(0, 2), random.randint(0, 2)
        used_tiles.add((mush_x, mush_y))
        
        # We fill EVERY possible key that dex_markdown or status bars might read
        active_mushrooms.append({
            "name": name,  # This will now work correctly!
            "rarity": getattr(mushroom, "rarity", "Common"), # Adjusted assuming 'field' is a typo or missing utility
            "habitat": getattr(mushroom, "habitat", "Glow Undergrowth"),
            "lore": getattr(mushroom, "lore", "A rapid micro-sprout spawned during a bloom."),
            "edible": getattr(mushroom, "edible", "Unknown"),
            "magic": getattr(mushroom, "magic", "Unknown"),
            "danger": getattr(mushroom, "danger", "Unknown"),
            "poison": "Yes" if name in POISONOUS_MUSHROOM_NAMES else "No",
            "mush_x": mush_x,
            "mush_y": mush_y,
            "picked": "No",
            "clue": "Harvested instantly!",
            "studied": "No"
        })

    return active_mushrooms


def myco_reply(message=None, history=None, current=None, collection=None, position=None):
    """Player chats with Myco. LLM responds in character with full context."""
    print("MYCO_REPLY CALLED, message:", repr(message))
    hist  = _safe_history(history)
    coll  = _safe_collection(collection)
    clean = (message or "").strip()
    if not clean:
        return "", hist

    ctx   = _ctx(current, coll)
    reply = _llm_with_history(hist, clean, ctx)
    if not reply:
        reply = _fallback_chat(current)

    return "", _append(hist, "user", clean) + [{"role": "assistant", "content": reply}]


companion_reply = myco_reply


def collect_current(current=None, collection=None, history=None):
    """Collect mushroom into MycoDex. LLM narrates the entry."""
    coll = _safe_collection(collection)
    hist = _safe_history(history)

    if current is None:
        return coll, _append(hist, "assistant", "We need to find a mushroom first!")

    if collection_contains(coll, current["name"]):
        return coll, _append(hist, "assistant", f"{current['name']} is already in the MycoDex!")

    score_delta  = _score_value(current)
    score_total  = _score_collection(coll) + score_delta
    collected    = {
        **current,
        "score_delta": str(score_delta),
        "score_total": str(score_total),
        "health":      str(_health(current, coll)),
        "reward_text": f"+{score_delta} spores",
    }
    updated_coll = [*coll, collected]
    ctx          = _ctx(current, coll)

    prompt = (
        f"The player just added {current['name']} ({current.get('rarity','Common')}) to the MycoDex! "
        f"+{score_delta} spores. Total score: {score_total}. "
        f"MycoDex now has {len(updated_coll)} entries. "
        "Celebrate this moment. Add a small lore detail or mystery hint."
    )
    reply = _llm(prompt, ctx) or _fallback_collect(current)
    return updated_coll, _append(hist, "assistant", reply)


def pick_current(current=None, collection=None, history=None):
    """Pick mushroom as game item. Poison = game over. LLM narrates dramatically."""
    coll = _safe_collection(collection)
    hist = _safe_history(history)

    if current is None:
        return coll, None, _append(hist, "assistant", "Find a mushroom first before picking!")

    ctx = _ctx(current, coll)

    if _is_poisonous(current):
        score_total = max(0, _score_collection(coll) + POISON_PENALTY)
        game_over   = {
            **current,
            "danger":      "Poisonous",
            "game_over":   "Yes",
            "health":      "0",
            "score_delta": str(POISON_PENALTY),
            "score_total": str(score_total),
            "reward_text": f"Poison! {POISON_PENALTY} spores · Game Over",
        }
        prompt = (
            f"DRAMATIC MOMENT: The player picked {current['name']} which is POISONOUS! "
            f"Game Over! Score drops by 25 to {score_total}. Health → 0. "
            "React with shock, sadness, and a dramatic farewell. Make it memorable."
        )
        reply = _llm(prompt, ctx) or _fallback_pick(current)
        return coll, game_over, _append(hist, "assistant", f"💀 {reply}")

    score_delta  = _score_value(current)
    score_total  = _score_collection(coll) + score_delta
    picked       = {
        **current,
        "picked":      "Yes",
        "danger":      "Safe",
        "score_delta": str(score_delta),
        "score_total": str(score_total),
        "health":      str(_health(current, coll)),
        "reward_text": f"+{score_delta} spores",
    }

    if collection_contains(coll, picked["name"]):
        return coll, picked, _append(hist, "assistant", f"{picked['name']} already picked!")

    updated_coll = [*coll, picked]
    prompt = (
        f"The player safely picked {current['name']} ({current.get('rarity','Common')})! "
        f"+{score_delta} spores. Total: {score_total}. "
        "Celebrate! Make it feel like a platformer power-up moment."
    )
    reply = _llm(prompt, ctx) or _fallback_pick(current)
    return updated_coll, picked, _append(hist, "assistant", f"🍄 {reply}")


def follow_whisper(current=None, collection=None, history=None):
    """Follow the forest whisper. LLM reveals mystery fragments."""
    coll = _safe_collection(collection)
    hist = _safe_history(history)

    if current is None:
        return None, _append(hist, "assistant",
            "Myco cups one ear. The forest only whispers near mushrooms — search a clearing first.")

    ctx = _ctx(current, coll)

    if _is_poisonous(current) and current.get("studied") != "Yes":
        game_over = {
            **current,
            "danger":      "Poisonous",
            "game_over":   "Yes",
            "health":      "0",
            "score_total": str(max(0, _score_collection(coll) + POISON_PENALTY)),
        }
        prompt = (
            f"The player followed a whisper but it led to POISON from {current['name']}! Game Over! "
            "React with horror and a haunting mystery revelation."
        )
        reply = _llm(prompt, ctx) or "💀 The whisper belonged to poison... Myco screams."
        return game_over, _append(hist, "assistant", reply)

    mystery = _mystery_state(len(coll) + 1)
    prompt  = (
        f"The player followed a forest whisper near {current.get('name','a mushroom')}. "
        f"Mystery chapter revealed: {mystery['mystery_title']}. Clue: {mystery['mystery_clue']}. "
        "Reveal this mystery fragment dramatically. "
        "Make Myco gasp or tremble. Hint that the MycoDex is alive and regrowing the lost forest."
    )
    reply    = _llm(prompt, ctx) or _fallback_whisper(current)
    revealed = {**current, **mystery, "whisper_followed": "Yes"}
    return revealed, _append(hist, "assistant", f"🌌 {reply}")


def study_current(current=None, history=None):
    """Study mushroom. LLM gives a careful field observation."""
    hist = _safe_history(history)

    if current is None:
        return None, _append(hist, "assistant", "Nothing to study yet — find a mushroom first!")

    prompt = (
        f"Study the mushroom {current.get('name','unknown')} carefully. "
        "Provide a concise field observation and one hint about its magic or danger."
    )
    reply = _llm(prompt, _ctx(current, [])) or _fallback_study(current)
    return reply, _append(hist, "assistant", reply)


def eat_current(current=None, collection=None, history=None):
    """Eating mushrooms raw is always blocked. This dynamic response is now fully driven by Myco AI."""
    coll = _safe_collection(collection)
    hist = _safe_history(history)

    if current is None:
        return coll, _append(hist, "assistant", "There's nothing here to eat!")

    ctx = _ctx(current, coll)
    prompt = (
        f"The player is attempting to directly EAT the raw mushroom: {current.get('name','unknown')}. "
        "This is highly forbidden, unsafe, and unidentified! React as Myco with absolute dynamic panic, "
        "gently scold them in character for trying something so dangerous, and assertively tell them "
        "they need to Study it instead of eating it!"
    )
    
    # Classic static text fallback just in case inference drops
    fallback_reply = (
        f"No no no! {current.get('name','That')} could be dangerous raw! "
        "I'll never let you eat an unidentified mushroom. Study it first!"
    )
    
    reply = _llm(prompt, ctx) or fallback_reply
    return coll, _append(hist, "assistant", reply)


def check_auto_pickup(new_pos_x, new_pos_y, current, collection, active_mushrooms=None):
    """
    Check if Myco stepped on any mushroom in active_mushrooms.
    Returns (current, collection, active_mushrooms) — all three updated.
    """
    if isinstance(current, str):
        try:
            current = json.loads(current)
        except json.JSONDecodeError:
            current = {}
    elif current is None:
        current = {}
        
    if active_mushrooms is None:
        # Fallback: try reading from current dict (legacy path)
        active_mushrooms = (current or {}).get("active_mushrooms", [])

    if not active_mushrooms:
        return current, collection, []

    if current and (current.get("game_over") == "Yes" or current.get("picked") == "Yes"):
        return current, collection, active_mushrooms

    updated_mushrooms = list(active_mushrooms)
    hit = None

    for m in updated_mushrooms:
        if m.get("picked") == "Yes":
            continue
        if int(m.get("mush_x", -1)) == int(new_pos_x) and \
           int(m.get("mush_y", -1)) == int(new_pos_y):
            hit = m
            break

    if hit is None:
        return current, collection, updated_mushrooms

    # Myco stepped on a mushroom
    if hit.get("poison") == "Yes":
        # Game over
        updated_current = dict(current or {})
        updated_current["game_over"]   = "Yes"
        updated_current["health"]      = "0"
        updated_current["encounter"]   = f"💀 Myco stepped on toxic {hit['name']}! Game Over!"
        updated_current["event_title"] = "Poison Shock!"
        updated_current["reward_text"] = f"Poison! {POISON_PENALTY} spores · Game Over"
        updated_current["score_total"] = str(max(0, _score_collection(collection) + POISON_PENALTY))
        # Mark it picked so it disappears from scene
        updated_mushrooms = [
            {**m, "picked": "Yes"} if m.get("name") == hit.get("name") else m
            for m in updated_mushrooms
        ]
        return updated_current, collection, updated_mushrooms

    # Safe mushroom — collect it
    score_delta = RARITY_SCORE.get(hit.get("rarity", "Common"), 10)
    new_score   = _score_collection(collection) + score_delta
    updated_mushrooms = [
        {**m, "picked": "Yes"} if m.get("name") == hit.get("name") else m
        for m in updated_mushrooms
    ]
    collection = list(collection) + [hit]

    updated_current = dict(current or {})
    updated_current["score_total"] = str(new_score)
    updated_current["encounter"]   = f"💥 Collected {hit['name']}! +{score_delta} spores!"
    updated_current["reward_text"] = f"+{score_delta} spores · {hit.get('rarity','Common')}"
    updated_current["event_title"] = "Pickup!"

    # Check if all mushrooms are now picked
    remaining = [m for m in updated_mushrooms if m.get("picked") != "Yes"]
    if not remaining:
        updated_current["picked"]      = "Yes"
        updated_current["encounter"]   = "Area clear! Search the next clearing!"
        updated_current["event_title"] = "Clearing Purified"

    return updated_current, collection, updated_mushrooms
    

# Myco narrative
NARRATIVE_SYSTEM = """
You are Myco Poet, a living forest spirit.

You ONLY output natural language.
You NEVER output JSON, actions, keys, or structured data.

You describe moments, sensations, and emotions in 1–2 flowing sentences.
"""

def get_myco_narrative(current=None):
    prompt = (
        "Describe a living moment in the forest as Myco experiences it.\n"
        "Make it feel poetic, natural, and immersive.\n"
    )

    context = None
    if current:
        context = {
            "name": current.get("name", "mystery"),
            "rarity": current.get("rarity", "common")
        }

    # IMPORTANT: force narrative system mode here
    reply = _llm(NARRATIVE_SYSTEM + "\n\n" + prompt, context=context, tag="narrative")

    if not reply:
        return "The forest feels deep today... ✨"

    def strip_noise(text: str) -> str:
        text = re.sub(r'\{[^{}]*\}', '', text)
        text = re.sub(r'\[[^\[\]]*\]', '', text)
        text = text.replace('"', '')
        return text.strip()

    cleaned = strip_noise(reply)

    # word-based check (better than char length)
    if len(cleaned.split()) < 10:
        return "The forest hums softly with unseen life... ✨"

    return cleaned

def myco_router(mode, *args, **kwargs):
    if mode == "narrative":
        return get_myco_narrative(*args, **kwargs)

    if mode == "action":
        return _llm_action(*args, **kwargs)

    if mode == "chat":
        return _llm_with_history(*args, **kwargs)


def _llm_action(*args, **kwargs):
    """Action-mode LLM call. Delegates to the JSON-aware single-turn _llm()."""
    return _llm(*args, **kwargs)