riftenlabs-indexer/src/rpc/mod.rs

// Copyright (C) 2024 Riften Labs AS
//
// This software is licensed under the GNU Affero General Public License (AGPL), version 3.0 or later.
// A copy of the license can be found in the LICENSE file or at https://www.gnu.org/licenses/agpl-3.0.html

use std::{
    collections::HashMap,
    sync::{Arc, Mutex},
};

use anyhow::{Context, Result};
use rusqlite::{params, Connection};

use crate::{
    bcmr::parsedbcmr::ParsedBCMR,
    db::bcmr::{get_token_bcmr, get_well_known_bcmr},
};

pub mod bcmr;
pub mod contract;
pub mod pool;
pub mod price;
pub mod tokens;
pub mod tvl;
pub mod tx;
pub mod user;

pub type ResponseCache = Arc<Mutex<HashMap<String, (i64 /* timestamp */, Vec<serde_json::Value>)>>>;

#[allow(clippy::type_complexity)]
pub fn list_tokens_by_volume(
    cauldron_conn: &Connection,
    bcmr_conn: &Connection,
    seconds: usize,
    limit: usize,
) -> Result<
    Vec<(
        String,
        u64,
        u64,
        u64,
        u64,
        u64,
        u64,
        Option<ParsedBCMR>,
        Vec<ParsedBCMR>,
    )>,
> {
    // List token ID's by volume last n seconds
    let mut statement = cauldron_conn
        .prepare(
            "
            WITH TradeData AS (
                SELECT
                    uf1.token_id,
                    ABS(uf1.sats - COALESCE(uf2.sats, 0)) as trade_volume
                FROM utxo_funding uf1
                INNER JOIN utxo_funding uf2 ON uf1.spent_utxo_hash = uf2.new_utxo_hash
                JOIN tx ON uf1.txid = tx.txid
                WHERE COALESCE(tx.first_seen_timestamp, tx.mtp_timestamp) >= (strftime('%s', 'now') - ?)
            ),
            TVLData AS (
                SELECT
                    token_id,
                    SUM(sats) as tvl_sats,
                    SUM(token_amount) as tvl_tokens
                FROM utxo_funding
                WHERE new_utxo_hash NOT IN (SELECT spent_utxo_hash FROM utxo_spending)
                GROUP BY token_id
            ),
            HighestUnspentUTXO AS (
                SELECT
                    token_id,
                    MAX(sats) as highest_sats,
                    MAX(token_amount) as token_amount
                FROM utxo_funding
                WHERE new_utxo_hash NOT IN (SELECT spent_utxo_hash FROM utxo_spending)
                GROUP BY token_id
            ),
            AggregateTradeData AS (
                SELECT
                    COALESCE(td.token_id, tvl.token_id) as token_id,
                    COALESCE(SUM(td.trade_volume), 0) as total_trade_volume,
                    COALESCE(COUNT(td.token_id), 0) as number_of_trades,
                    tvl.tvl_sats,
                    tvl.tvl_tokens,
                    hu.highest_sats,
                    hu.token_amount
                FROM TVLData tvl
                LEFT JOIN TradeData td ON tvl.token_id = td.token_id
                LEFT JOIN HighestUnspentUTXO hu ON tvl.token_id = hu.token_id
                GROUP BY tvl.token_id
            )
            SELECT
                token_id,
                total_trade_volume,
                number_of_trades,
                tvl_sats,
                tvl_tokens,
                highest_sats,
                token_amount
            FROM AggregateTradeData
            ORDER BY total_trade_volume DESC, tvl_sats DESC
            LIMIT ?;
        ",
        )?;

    let tokens: Vec<(
        String,
        u64,
        u64,
        u64,
        u64,
        u64,
        u64,
        Option<ParsedBCMR>,
        Vec<ParsedBCMR>,
    )> = statement
        .query_and_then([seconds, limit], |row| {
            let token_id: String = row.get(0)?;
            let trade_volume: u64 = row.get(1)?;
            let trade_count: u64 = row.get(2)?;
            let tvl_sats: u64 = row.get(3)?;
            let tvl_token: u64 = row.get(4)?;
            let best_contract_sats: u64 = row.get(5)?;
            let best_contracts_token: u64 = row.get(6)?;
            let bcmr = get_token_bcmr(bcmr_conn, &token_id)?;
            let bcmr_well_known = get_well_known_bcmr(bcmr_conn, &token_id)?;
            Ok((
                token_id,
                trade_volume,
                trade_count,
                tvl_sats,
                tvl_token,
                best_contract_sats,
                best_contracts_token,
                bcmr,
                bcmr_well_known,
            ))
        })
        .unwrap()
        .map(
            |row: Result<(
                String,
                u64,
                u64,
                u64,
                u64,
                u64,
                u64,
                Option<ParsedBCMR>,
                Vec<ParsedBCMR>,
            )>| row.unwrap(),
        )
        .collect();

    Ok(tokens)
}

fn all_time_volume(db: &Connection, end_timestamp: u64) -> Result<Vec<(String, i64)>> {
    let sql = "
    SELECT
        uf1.token_id,
        SUM(ABS(uf1.sats - COALESCE(uf2.sats, 0))) AS total_volume_sats
    FROM utxo_funding uf1
    INNER JOIN utxo_funding uf2 ON uf1.spent_utxo_hash = uf2.new_utxo_hash
    JOIN tx ON uf1.txid = tx.txid
    WHERE COALESCE(tx.first_seen_timestamp, tx.mtp_timestamp) <= ?
    GROUP BY uf1.token_id";

    let mut stmt = db.prepare(sql)?;

    let volume_iter = stmt.query_map(params![end_timestamp], |row| {
        Ok((row.get::<_, String>(0)?, row.get::<_, i64>(1)?))
    })?;

    let mut volumes = Vec::new();
    for volume in volume_iter {
        volumes.push(volume?);
    }

    Ok(volumes)
}

fn period_volume(
    db: &Connection,
    begin_timestamp: u64,
    end_timestamp: u64,
) -> Result<Vec<(String, i64)>> {
    let sql = "
    SELECT
        uf1.token_id,
        SUM(ABS(uf1.sats - COALESCE(uf2.sats, 0))) AS total_volume_sats
    FROM utxo_funding uf1
    INNER JOIN utxo_funding uf2 ON uf1.spent_utxo_hash = uf2.new_utxo_hash
    JOIN tx ON uf1.txid = tx.txid
    WHERE COALESCE(tx.first_seen_timestamp, tx.mtp_timestamp) BETWEEN ? AND ?
    GROUP BY uf1.token_id
    ";

    let mut stmt = db.prepare(sql)?;
    let volume_iter = stmt.query_map(params![begin_timestamp, end_timestamp], |row| {
        Ok((row.get::<_, String>(0)?, row.get::<_, i64>(1)?))
    })?;

    let mut volumes = Vec::new();
    for volume in volume_iter {
        volumes.push(volume?);
    }

    Ok(volumes)
}

pub fn contract_volume(
    db: &Connection,
    end_timestamp: u64,
) -> Result<HashMap<String, (i64, i64, i64)>> {
    let one_day_seconds = 86400_u64;
    let thirty_days_seconds = 30 * 86400_u64;

    let one_day_begin_timestamp = end_timestamp
        .checked_sub(one_day_seconds)
        .context("timestamp underflow")?;
    let thirty_days_begin_timestamp = end_timestamp
        .checked_sub(thirty_days_seconds)
        .context("timestamp underflow")?;

    let all_time = all_time_volume(db, end_timestamp)?;
    let one_day = period_volume(db, one_day_begin_timestamp, end_timestamp)?;
    let thirty_days = period_volume(db, thirty_days_begin_timestamp, end_timestamp)?;

    let mut result = HashMap::new();

    for (token_id, volume) in all_time.into_iter() {
        result.insert(token_id, (volume, 0, 0));
    }

    for (token_id, day_volume) in one_day.into_iter() {
        if let Some((_, _, one_day_volume)) = result.get_mut(&token_id) {
            *one_day_volume = day_volume;
        } else {
            result.insert(token_id.clone(), (0, 0, day_volume));
        }
    }

    for (token_id, month_volume) in thirty_days.into_iter() {
        if let Some((_, thirty_day_volume, _)) = result.get_mut(&token_id) {
            *thirty_day_volume = month_volume;
        } else {
            result.insert(token_id.clone(), (0, month_volume, 0));
        }
    }

    Ok(result)
}