import streamlit as st
import json
from config import DEFAULT_WEIGHTS

def render_sidebar(latest_results: dict, db):
    st.sidebar.title("Crypto Signals")
    page = st.sidebar.radio("View", ["Signals", "Portfolio"], label_visibility="collapsed")
    st.sidebar.divider()

    if latest_results:
        coins = sorted(latest_results.values(), key=lambda x: x["composite"], reverse=True)
        for coin in coins:
            signal = coin["signal"]
            color = {"BUY": "green", "HOLD": "orange", "SELL": "red"}.get(signal, "gray")
            symbol_short = coin["symbol"].replace("USDT", "")
            label = f":{color}[{signal}] **{symbol_short}** — {coin['composite']:.0f}"
            if st.sidebar.button(label, key=coin["symbol"], use_container_width=True):
                st.session_state["selected_coin"] = coin["symbol"]

    st.sidebar.divider()
    st.sidebar.subheader("Signal Weights")
    weights = _load_weights(db)
    new_weights = {}
    new_weights["technical"] = st.sidebar.slider("Technical", 0.0, 1.0, weights["technical"], 0.05)
    new_weights["news"] = st.sidebar.slider("News", 0.0, 1.0, weights["news"], 0.05)
    new_weights["social"] = st.sidebar.slider("Social", 0.0, 1.0, weights["social"], 0.05)
    new_weights["ai"] = st.sidebar.slider("AI", 0.0, 1.0, weights["ai"], 0.05)

    total = sum(new_weights.values())
    if abs(total - 1.0) > 0.01:
        st.sidebar.warning(f"Weights sum: {total:.2f} (must be 1.0)")
    else:
        if new_weights != weights:
            db.save_setting("weights", json.dumps(new_weights))
            st.session_state["weights_changed"] = True

    return page

def _load_weights(db) -> dict:
    raw = db.load_setting("weights")
    if raw:
        try:
            return json.loads(raw)
        except json.JSONDecodeError:
            pass
    return dict(DEFAULT_WEIGHTS)