use crate::value_estimation_team::{datapoints::price_data::CandleType, indicators::wiliams_percent_r};

use super::{
    adx, dec, decimal_add, decimal_div, decimal_mul, decimal_sub, dema, duplicate_filter, ema,
    ema_macd, exists_record, get_server_epoch, heatmap_volume,
    insert_pre_suggested_coins, limit_order_sell, remove_keys, rsi, select_filled_buy_orders,
    stoch_rsi, supertrend, tema, try_join_all, update_record3, wiliams_percent_r, AdxData, AllData,
    Arc, BollingerBandData, Client, ClientBuilder, Decimal, DemaData, EmaData, ExchangeInfo,
    FilteredDataValue, HashMap, HashSet, HeatMapLevel, HeatmapVolumeData, MacdData, Mutex,
    RealtimePriceData, RoundingStrategy, RsiData, StochRsiData, SuperTrendArea, SuperTrendSignal,
    SupertrendData, TemaData, ToPrimitive, TradeFee, WiliamsPercentR, future_duplicate_filter, insert_future_coins, get_current_price_decimal,
    sma, sma_open
};

use crate::future::{Position, FuturesExchangeInfo};
use crate::future::table_mgmt::select_short_filled_positions;
use crate::future::order::{limit_order_close, TimeInForce};

// BUY conditions
pub async fn list_up_for_buy(
    alldata: &AllData,
    future_exchange_info_map: &HashMap<String, FuturesExchangeInfo>
) -> Result<(), Box<dyn std::error::Error + Send + Sync>> {
    // print rt_price for debugging
    // let a = alldata.rt_price_30m_vec.iter().position(|a| a.0 == "BTCUSDT");
    // println!("BTCUSDT: {:?}", alldata.rt_price_30m_vec[a.unwrap()].1.last().unwrap());

    // basic filtering: filtering valid trade pair
    let mut filtered_data: HashMap<String, FilteredDataValue> = HashMap::new();
    for symbol in &alldata.valid_symbol_vec {
        filtered_data.insert(symbol.clone(), FilteredDataValue::new());
    }
    
    // sma3_close(current) < sma3_open (current), sma3_close(prev) > sma3_open (prev)
    let mut keys_to_remove: HashSet<String> = HashSet::new();
    let ema3 = ema(30, &alldata.rt_price_1m_vec, &filtered_data).await?;
    let sma3_open = sma_open(3, &alldata.rt_price_30m_vec, &filtered_data).await?;
    let tema3 = tema(3, &alldata.rt_price_30m_vec, &filtered_data).await?;
    let server_epoch = get_server_epoch().await;
    for (symbol, values) in &mut filtered_data {
        let mut do_buy = false;
        let price_and_closetime = get_current_price_decimal(&symbol, &alldata.rt_price_30m_vec).await;
        if let (Some(sma3_open_vec), Some(tema3_vec), Some(ema3_vec), Some(current_info)) = (sma3_open.get(symbol), tema3.get(symbol), ema3.get(symbol), price_and_closetime) {
            if sma3_open_vec.len() > 10
                && tema3_vec.len() > 10
                && ema3_vec.len() > 10
                && ema3_vec.last().unwrap().close_time > server_epoch
                && sma3_open_vec.last().unwrap().close_time == tema3_vec.last().unwrap().close_time
                && sma3_open_vec.last().unwrap().close_time > server_epoch
                && tema3_vec.last().unwrap().close_time > server_epoch
            {
                if sma3_open_vec[sma3_open_vec.len()-1].sma_value > tema3_vec[tema3_vec.len()-1].tema_value
                && sma3_open_vec[sma3_open_vec.len()-2].sma_value < tema3_vec[tema3_vec.len()-2].tema_value
                && sma3_open_vec[sma3_open_vec.len()-1].sma_value > sma3_open_vec[sma3_open_vec.len()-2].sma_value
                && sma3_open_vec[sma3_open_vec.len()-2].sma_value > sma3_open_vec[sma3_open_vec.len()-3].sma_value
                && sma3_open_vec[sma3_open_vec.len()-3].sma_value > sma3_open_vec[sma3_open_vec.len()-4].sma_value
                && tema3_vec[tema3_vec.len()-1].tema_value < tema3_vec[tema3_vec.len()-2].tema_value
                && tema3_vec[tema3_vec.len()-2].tema_value > tema3_vec[tema3_vec.len()-3].tema_value
                && tema3_vec[tema3_vec.len()-3].tema_value > tema3_vec[tema3_vec.len()-4].tema_value
                && current_info.0.to_f64().is_some_and(|a| ema3_vec.last().unwrap().ema_value > a)
                 {
                    values.closetime = current_info.1;
                    values.current_price = current_info.0;
                    do_buy = true;
                } 
            } 
        }
        if do_buy == false {
            keys_to_remove.insert(symbol.clone());
        }
    }
    remove_keys(&mut filtered_data, keys_to_remove).await;

    // current Tema(15) < current Tema(30)
    // let mut keys_to_remove: HashSet<String> = HashSet::new();
    // let tema_10 = tema(10, &alldata.rt_price_30m_vec, &filtered_data).await?;
    // let tema_30 = tema(30, &alldata.rt_price_30m_vec, &filtered_data).await?;
    // let server_epoch = get_server_epoch().await;
    // for (symbol, values) in &mut filtered_data {
    //     let mut do_buy = false;
    //     let price_and_closetime = get_current_price_decimal(&symbol, &alldata.rt_price_1m_vec).await;
    //     if let (Some(tema10_vec), Some(tema30_vec), Some(current_info)) = (tema_10.get(symbol), tema_30.get(symbol), price_and_closetime) {
    //         if tema10_vec.len() > 10
    //             && tema30_vec.len() > 10
    //             && tema10_vec.last().unwrap().close_time == tema30_vec.last().unwrap().close_time
    //             && tema10_vec.last().unwrap().close_time > server_epoch
    //             && tema30_vec.last().unwrap().close_time > server_epoch
    //         {
    //             if tema10_vec[tema10_vec.len()-1].tema_value < tema30_vec[tema30_vec.len()-1].tema_value
    //             && tema10_vec[tema10_vec.len()-2].tema_value < tema30_vec[tema30_vec.len()-2].tema_value
    //             && tema10_vec[tema10_vec.len()-1].tema_value < tema10_vec[tema10_vec.len()-2].tema_value
    //              {
    //                 do_buy = true;
    //             } 
    //         } 
    //     }
    //     if do_buy == false {
    //         keys_to_remove.insert(symbol.clone());
    //     }
    // }
    // remove_keys(&mut filtered_data, keys_to_remove).await;

    // supertrend(ATR period 10, multiplier: 3.0, 30m close price)
    // let mut keys_to_remove: HashSet<String> = HashSet::new();
    // let server_epoch = get_server_epoch().await;
    // let supertrend_1m_map =
    //     supertrend(60, 1.5, true, &alldata.rt_price_1m_vec, &filtered_data).await?;
    // for (symbol, values) in &mut filtered_data {
    //     let mut do_buy = false;
    //     let price_and_closetime = get_current_price_decimal(&symbol, &alldata.rt_price_1m_vec).await;
    //     if let (Some(supertrend_vec), Some(current_info)) = (
    //         supertrend_1m_map.get(symbol),
    //         price_and_closetime,
    //     ) {
    //         if supertrend_vec.last().unwrap().close_time > server_epoch
    //         && supertrend_vec.last().unwrap().signal.as_ref().is_some_and(|a| *a == SuperTrendSignal::SELL)
    //         {
    //             values.current_price = current_info.0;
    //             values.closetime = current_info.1;
    //             do_buy = true;
    //         }
    //     }

    //     if do_buy == false {
    //         keys_to_remove.insert(symbol.clone());
    //     }
    // }
    // remove_keys(&mut filtered_data, keys_to_remove).await;

    // Heatmap volume: filtering close price with Extra High is over the previous candle from 30 previous candles
    // let mut keys_to_remove: HashSet<String> = HashSet::new();
    // let heatmap_volumes = heatmap_volume(
    //     30,
    //     30,
    //     4.0,
    //     1.5,
    //     0.5,
    //     -0.5,
    //     &filtered_data,
    //     &alldata.rt_price_1m_vec,
    // )
    // .await?;
    // let server_epoch = get_server_epoch().await;
    // for (symbol, values) in &mut filtered_data {
    //     let mut do_buy = false;
    //     if let Some(heatmap_volume_vec) = heatmap_volumes.get(symbol) {
    //         if heatmap_volume_vec.len() > 100
    //         && heatmap_volume_vec.last().unwrap().close_time > server_epoch
    //         && (heatmap_volume_vec.last().unwrap().heatmap_level == HeatMapLevel::ExtraHigh || heatmap_volume_vec.last().unwrap().heatmap_level == HeatMapLevel::High
    //          || heatmap_volume_vec[heatmap_volume_vec.len()-2].heatmap_level == HeatMapLevel::ExtraHigh || heatmap_volume_vec[heatmap_volume_vec.len()-2].heatmap_level == HeatMapLevel::High
    //          || heatmap_volume_vec[heatmap_volume_vec.len()-3].heatmap_level == HeatMapLevel::ExtraHigh || heatmap_volume_vec[heatmap_volume_vec.len()-3].heatmap_level == HeatMapLevel::High
    //          || heatmap_volume_vec[heatmap_volume_vec.len()-4].heatmap_level == HeatMapLevel::ExtraHigh || heatmap_volume_vec[heatmap_volume_vec.len()-4].heatmap_level == HeatMapLevel::High)
    //         {
    //             do_buy = true;
    //         }
    //     } 
        
    //     if do_buy == false {
    //         keys_to_remove.insert(symbol.clone());
    //     }
    // }
    // remove_keys(&mut filtered_data, keys_to_remove).await;

    // let mut keys_to_remove: HashSet<String> = HashSet::new();
    // let server_epoch = get_server_epoch().await;
    // for (symbol, values) in &mut filtered_data {
    //     let mut do_buy = false;
    //     let opclo_sample_length: usize = 60; // 15 candle samsples
    //     let mut target_profit_percent = 0.0;
    //     if let Some(price_1m_vec) = alldata.rt_price_1m_vec.get(symbol) {
    //         let vec_len = price_1m_vec.len();
    //         if let Some(candles) =
    //             price_1m_vec.get(vec_len - opclo_sample_length - 2..vec_len - 1)
    //         {
    //             let windows = candles.windows(2);
    //             let mut sum_amplitude_candles = 0.0;
    //             let mut sum_ratio_amp_body = 0.0;
    //             let mut average_amplitude = 0.0;

    //             for window in windows {
    //                 sum_amplitude_candles += ((window.last().unwrap().high_price
    //                     - window.last().unwrap().low_price)
    //                     * 100.0)
    //                     / window.first().unwrap().close_price;
    //             }
    //             let average_amplitude = sum_amplitude_candles / opclo_sample_length as f64; // percent unit
    //             let mut amplitude_variance = 0.0;

    //             let windows = candles.windows(2);
    //             for window in windows {
    //                 amplitude_variance += ((((window.last().unwrap().high_price
    //                     - window.last().unwrap().low_price)
    //                     * 100.0)
    //                     / window.first().unwrap().close_price)
    //                     - average_amplitude)
    //                     .powi(2);
    //             }
    //             amplitude_variance = amplitude_variance / (opclo_sample_length - 1) as f64;
    //             let standard_deviation_amplitude = amplitude_variance.sqrt();
    //             target_profit_percent =
    //                 average_amplitude + (standard_deviation_amplitude * 2.0);

    //             if target_profit_percent * 2.0 > 0.14 {
    //                 do_buy = true;
    //             }
    //         }
    //     }
        
    //     if do_buy == false {
    //         keys_to_remove.insert(symbol.clone());
    //     }
    // }
    // remove_keys(&mut filtered_data, keys_to_remove).await;

    // StochRSI (RSI_len: 30, StochRSI_len: 30, K: 2, D: 2) K_current < 70, K_prev < 70, K_prev_1 < 70
    // let server_epoch = get_server_epoch().await;
    // let mut keys_to_remove: HashSet<String> = HashSet::new();
    // let stoch_rsis = stoch_rsi(30, 30, 2, 2, &alldata.rt_price_1m_vec, &filtered_data).await?;
    // for (symbol, values) in &mut filtered_data {
    //     let mut do_buy = false;
    //     let price_and_closetime = get_current_price_decimal(&symbol, &alldata.rt_price_1m_vec).await;
    //     if let (Some(stoch_rsi_vec), Some(current_info)) = (stoch_rsis.get(symbol), price_and_closetime) {
    //         if server_epoch < current_info.1 {
    //             let search_result = stoch_rsi_vec
    //             .iter()
    //             .position(|x| x.close_time == current_info.1);
    //             if stoch_rsi_vec.len() > 10
    //                 && search_result.is_some_and(|a| {
    //                         stoch_rsi_vec[a].k < 80.0
    //                         && stoch_rsi_vec[a].k < stoch_rsi_vec[a].d
    //                         && stoch_rsi_vec[a - 1].k > 80.0
    //                         && stoch_rsi_vec[a - 2].k > 80.0
    //                         && stoch_rsi_vec[a - 3].k > 80.0
    //                         && stoch_rsi_vec[a - 4].k > 80.0
    //                 })
    //             {
    //                 values.closetime = current_info.1;
    //                 values.current_price = current_info.0;
    //                 do_buy = true;
    //             } 
    //         }
    //     }
        
    //     if do_buy == false {
    //         keys_to_remove.insert(symbol.clone());
    //     }
    // }
    // remove_keys(&mut filtered_data, keys_to_remove).await;

    let final_filtered_data = future_duplicate_filter(&filtered_data, &future_exchange_info_map).await?;
    insert_future_coins(Position::Short, server_epoch, &final_filtered_data).await?;

    Ok(())
}

pub async fn list_up_for_sell(all_data: &AllData, futures_exchange_info_map: &HashMap<String, FuturesExchangeInfo>) -> Result<(), Box<dyn std::error::Error + Send + Sync>> {
    let filled_positions = select_short_filled_positions().await?;

    let client = ClientBuilder::new()
        .timeout(tokio::time::Duration::from_millis(5000))
        .build()
        .unwrap();

    let mut filtered_symbols: HashMap<String, FilteredDataValue> = HashMap::new();
    for element in &filled_positions {
        filtered_symbols.insert(element.symbol.clone(), FilteredDataValue::new());
    }
    let sma3_open = sma_open(3, &all_data.rt_price_30m_vec, &filtered_symbols).await?;
    let tema3 = tema(3, &all_data.rt_price_30m_vec, &filtered_symbols).await?;
    let server_epoch = get_server_epoch().await;
    
    for element in filled_positions {
        let mut is_sell = false;
        let mut over_turned = false;
        if let (Some(sma3_open_vec), Some(tema3_vec)) = (sma3_open.get(&element.symbol), tema3.get(&element.symbol)) {
            if tema3_vec.len() > 10 && sma3_open_vec.len() > 10 {
                if sma3_open_vec.last().unwrap().close_time == tema3_vec.last().unwrap().close_time
                && sma3_open_vec.last().unwrap().close_time > server_epoch
                && sma3_open_vec.last().unwrap().sma_value < tema3_vec.last().unwrap().tema_value {
                    over_turned = true;
                }
            }
        }

        let opclo_sample_length: usize = 60; // 15 candle samsples
        let mut target_profit_percent = 0.0;
        if let Some(price_30m_vec) = all_data.rt_price_30m_vec.get(&element.symbol) {
            let vec_len = price_30m_vec.len();
            if let Some(candles) =
                price_30m_vec.get(vec_len - opclo_sample_length - 2..vec_len - 1)
            {
                let windows = candles.windows(2);
                let mut sum_amplitude_candles = 0.0;
                let mut sum_ratio_amp_body = 0.0;
                let mut average_amplitude = 0.0;

                for window in windows {
                    sum_amplitude_candles += ((window.last().unwrap().high_price
                        - window.last().unwrap().low_price)
                        * 100.0)
                        / window.first().unwrap().close_price;
                }
                let average_amplitude = sum_amplitude_candles / opclo_sample_length as f64; // percent unit
                let mut amplitude_variance = 0.0;

                let windows = candles.windows(2);
                for window in windows {
                    amplitude_variance += ((((window.last().unwrap().high_price
                        - window.last().unwrap().low_price)
                        * 100.0)
                        / window.first().unwrap().close_price)
                        - average_amplitude)
                        .powi(2);
                }
                amplitude_variance = amplitude_variance / (opclo_sample_length - 1) as f64;
                let standard_deviation_amplitude = amplitude_variance.sqrt();
                target_profit_percent =
                    average_amplitude - (standard_deviation_amplitude * 1.5);
            }
        }

        // TODO: BNB 코인이 있으면
        // let base_qty_to_be_ordered =
        //     element.base_qty_ordered.round_dp_with_strategy(
        //         lot_step_size.normalize().scale(),
        //         RoundingStrategy::ToZero,
        //     );
        // TODO: BNB 코인이 없으면

        if !element.current_price.is_zero() {
            // if element.pure_profit_percent >= target_profit_percent * 2.5 {
            //     is_sell = true;
            // } else if element.pure_profit_percent <= target_profit_percent * -2.0 {
            //     is_sell = true;
            // }
            // if over_turned == true && server_epoch - element.close_time > 1_800_000 {
            //     is_sell = true;
            // } else 
            if target_profit_percent.is_normal() && element.pure_profit_percent > target_profit_percent + 0.7 {
                is_sell = true;
            } else if target_profit_percent.is_normal() && element.pure_profit_percent < (target_profit_percent * -1.0) - 0.7 {
                is_sell = true;
            } else if server_epoch - element.registered_server_epoch > 1_800_000 * 5 && element.pure_profit_percent >= 0.35{
                is_sell = true;
            }
            
            if is_sell == true {
                limit_order_close(
                    &element,
                    TimeInForce::Gtc,
                    element.current_price,
                    element.base_qty_ordered,
                    &futures_exchange_info_map,
                    &client
                )
                .await;
            }
        }
            
        }
    

    Ok(())
}