"""
Timeframe selector component.

Provides dropdown for selecting analysis timeframe.
"""

from typing import List, Tuple

import gradio as gr

# Available timeframes with descriptions
TIMEFRAMES = [
    ("1 Day", "1d"),
    ("1 Week", "1w"),
    ("1 Month", "1mo"),
    ("3 Months", "3mo"),
    ("1 Year", "1y"),
    ("5 Years", "5y"),
]


def create_timeframe_selector() -> gr.Dropdown:
    """
    Create timeframe selector component.

    Returns:
        Gradio Dropdown component for timeframe selection
    """
    return gr.Dropdown(
        label="Timeframe",
        choices=TIMEFRAMES,
        value="1w",  # Default to weekly for long-term investment focus
        info="Select analysis timeframe. Daily/weekly for swing trading, monthly to multi-year for long-term investing.",
    )


def get_recommended_timeframe(trading_style: str) -> str:
    """
    Get recommended timeframe for trading style.

    Args:
        trading_style: Trading style (scalping, day_trading, swing_trading, position_trading)

    Returns:
        Recommended timeframe code
    """
    recommendations = {
        "scalping": "1m",
        "day_trading": "5m",
        "swing_trading": "1h",
        "position_trading": "1d",
    }

    return recommendations.get(trading_style, "1d")


def validate_timeframe(timeframe: str) -> bool:
    """
    Validate timeframe selection.

    Args:
        timeframe: Timeframe code

    Returns:
        True if valid
    """
    valid_timeframes = [tf[1] for tf in TIMEFRAMES]
    return timeframe in valid_timeframes


def get_timeframe_description(timeframe: str) -> str:
    """
    Get human-readable description of timeframe.

    Args:
        timeframe: Timeframe code

    Returns:
        Description string
    """
    for label, code in TIMEFRAMES:
        if code == timeframe:
            return label

    return timeframe