from __future__ import annotations

import re
from typing import Any, Dict, List, Optional, Tuple


def split_unity_message(text: str) -> Tuple[str, str]:
    """
    Splits a Unity-style message into:
    - hidden/system/game context prefix
    - actual user-facing message

    If no obvious split is found, returns ("", original_text).
    """
    raw = (text or "").strip()
    if not raw:
        return "", ""

    # Pattern like:
    # CONTEXT: ...
    # USER: ...
    m = re.search(r"(?is)^(.*?)(?:\buser\b|\bprompt\b|\bmessage\b)\s*:\s*(.+)$", raw)
    if m:
        hidden = (m.group(1) or "").strip()
        user = (m.group(2) or "").strip()
        return hidden, user

    return "", raw


def _extract_options(text: str) -> List[str]:
    if not text:
        return []

    lines = [line.strip() for line in text.splitlines() if line.strip()]
    options: List[str] = []

    for line in lines:
        if re.match(r"^[A-E][\)\.\:]\s*", line, flags=re.I):
            options.append(re.sub(r"^[A-E][\)\.\:]\s*", "", line, flags=re.I).strip())

    if options:
        return options

    # fallback: inline A) ... B) ...
    matches = re.findall(r"(?:^|\s)([A-E])[\)\.\:]\s*(.*?)(?=(?:\s+[A-E][\)\.\:])|$)", text, flags=re.I | re.S)
    if matches:
        return [m[1].strip() for m in matches if m[1].strip()]

    return []


def extract_game_context_fields(text: str) -> Dict[str, Any]:
    """
    Extracts lightweight structured fields from hidden Unity/game context.
    Always returns stable keys expected by app.py.
    """
    raw = (text or "").strip()

    result: Dict[str, Any] = {
        "question": "",
        "options": [],
        "difficulty": None,
        "category": None,
        "money": None,
        "has_choices": False,
        "looks_like_quant": False,
    }

    if not raw:
        return result

    # question
    q_match = re.search(r"\bquestion\s*[:=]\s*(.+?)(?=\n[A-Za-z_ ]+\s*[:=]|\Z)", raw, flags=re.I | re.S)
    if q_match:
        result["question"] = q_match.group(1).strip()

    # options block
    opt_match = re.search(r"\b(?:options|choices|answers)\s*[:=]\s*(.+?)(?=\n[A-Za-z_ ]+\s*[:=]|\Z)", raw, flags=re.I | re.S)
    if opt_match:
        result["options"] = _extract_options(opt_match.group(1))

    # if no explicit options block, scan whole context
    if not result["options"]:
        result["options"] = _extract_options(raw)

    result["has_choices"] = len(result["options"]) > 0

    # difficulty
    difficulty_match = re.search(r"\bdifficulty\s*[:=]\s*([A-Za-z0-9_\- ]+)", raw, flags=re.I)
    if difficulty_match:
        result["difficulty"] = difficulty_match.group(1).strip()

    # category/topic
    category_match = re.search(r"\b(?:category|topic)\s*[:=]\s*([A-Za-z0-9_\- /]+)", raw, flags=re.I)
    if category_match:
        result["category"] = category_match.group(1).strip()

    # money/balance
    money_match = re.search(r"\b(?:money|balance|bank)\s*[:=]\s*([\-]?\d+(?:\.\d+)?)", raw, flags=re.I)
    if money_match:
        try:
            result["money"] = float(money_match.group(1))
        except Exception:
            pass

    lower = raw.lower()
    result["looks_like_quant"] = any(
        token in lower
        for token in [
            "solve",
            "equation",
            "percent",
            "%",
            "ratio",
            "probability",
            "mean",
            "median",
            "algebra",
            "integer",
            "triangle",
            "circle",
        ]
    )

    return result


def detect_intent(text: str, incoming_help_mode: Optional[str] = None) -> str:
    """
    Returns one of:
    answer, hint, instruction, walkthrough, explain, method, definition, concept
    """
    forced = (incoming_help_mode or "").strip().lower()
    if forced in {
        "answer",
        "hint",
        "instruction",
        "walkthrough",
        "step_by_step",
        "explain",
        "method",
        "definition",
        "concept",
    }:
        return forced

    t = (text or "").strip().lower()

    if not t:
        return "answer"

    if (
        re.search(r"\bdefine\b", t)
        or re.search(r"\bdefinition\b", t)
        or re.search(r"\bwhat does\b", t)
        or re.search(r"\bwhat is meant by\b", t)
    ):
        return "definition"

    if re.search(r"\bhint\b", t) or re.search(r"\bclue\b", t) or re.search(r"\bnudge\b", t):
        return "hint"

    if (
        re.search(r"\bfirst step\b", t)
        or re.search(r"\bnext step\b", t)
        or re.search(r"\bwhat should i do first\b", t)
        or re.search(r"\bgive me the first step\b", t)
        or re.search(r"\bspecific step\b", t)
    ):
        return "instruction"

    if (
        re.search(r"\bwalk ?through\b", t)
        or re.search(r"\bstep by step\b", t)
        or re.search(r"\bfull working\b", t)
        or re.search(r"\bwork through\b", t)
    ):
        return "walkthrough"

    if re.search(r"\bexplain\b", t) or re.search(r"\bwhy\b", t):
        return "explain"

    if (
        re.search(r"\bmethod\b", t)
        or re.search(r"\bapproach\b", t)
        or re.search(r"\bhow do i solve\b", t)
        or re.search(r"\bhow to solve\b", t)
        or re.search(r"\bhow do i do this\b", t)
    ):
        return "method"

    if (
        re.search(r"\bconcept\b", t)
        or re.search(r"\bprinciple\b", t)
        or re.search(r"\brule\b", t)
        or re.search(r"\bwhat is the idea\b", t)
    ):
        return "concept"

    if (
        re.search(r"\bsolve\b", t)
        or re.search(r"\bwhat is\b", t)
        or re.search(r"\bfind\b", t)
        or re.search(r"\bgive (?:me )?the answer\b", t)
        or re.search(r"\bjust the answer\b", t)
        or re.search(r"\banswer only\b", t)
        or re.search(r"\bcalculate\b", t)
    ):
        return "answer"

    return "answer"


def intent_to_help_mode(intent: str) -> str:
    if intent in {"walkthrough", "step_by_step", "explain", "method", "concept"}:
        return "walkthrough"
    if intent == "hint":
        return "hint"
    if intent in {"definition", "instruction"}:
        return intent
    return "answer"