修复AiQuant回测撮合一致性
This commit is contained in:
@@ -11,7 +11,7 @@ use crate::events::{
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ProcessEventKind,
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};
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use crate::portfolio::PortfolioState;
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use crate::rules::EquityRuleHooks;
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use crate::rules::{EquityRuleHooks, RuleCheck};
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use crate::strategy::{
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AlgoOrderStyle, OpenOrderView, OrderIntent, StrategyDecision, TargetPortfolioOrderPricing,
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};
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@@ -111,6 +111,7 @@ pub struct BrokerSimulator<C, R> {
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inactive_limit: bool,
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liquidity_limit: bool,
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strict_value_budget: bool,
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aiquant_rqalpha_execution_rules: bool,
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same_day_buy_close_mark_at_fill: bool,
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intraday_execution_start_time: Option<NaiveTime>,
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runtime_intraday_start_time: Cell<Option<NaiveTime>>,
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@@ -133,6 +134,7 @@ impl<C, R> BrokerSimulator<C, R> {
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inactive_limit: true,
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liquidity_limit: true,
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strict_value_budget: false,
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aiquant_rqalpha_execution_rules: false,
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same_day_buy_close_mark_at_fill: false,
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intraday_execution_start_time: None,
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runtime_intraday_start_time: Cell::new(None),
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@@ -159,6 +161,7 @@ impl<C, R> BrokerSimulator<C, R> {
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inactive_limit: true,
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liquidity_limit: true,
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strict_value_budget: false,
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aiquant_rqalpha_execution_rules: false,
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same_day_buy_close_mark_at_fill: false,
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intraday_execution_start_time: None,
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runtime_intraday_start_time: Cell::new(None),
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@@ -188,6 +191,11 @@ impl<C, R> BrokerSimulator<C, R> {
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self
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}
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pub fn with_aiquant_rqalpha_execution_rules(mut self, enabled: bool) -> Self {
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self.aiquant_rqalpha_execution_rules = enabled;
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self
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}
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pub fn with_same_day_buy_close_mark_at_fill(mut self, enabled: bool) -> Self {
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self.same_day_buy_close_mark_at_fill = enabled;
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self
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@@ -1825,6 +1833,68 @@ where
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Ok(())
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}
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fn aiquant_limit_check_price(
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&self,
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snapshot: &crate::data::DailyMarketSnapshot,
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side: OrderSide,
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) -> f64 {
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match (self.execution_price_field, side) {
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(PriceField::Last, _) => snapshot.price(PriceField::Last),
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(_, OrderSide::Buy) => snapshot.buy_price(self.execution_price_field),
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(_, OrderSide::Sell) => snapshot.sell_price(self.execution_price_field),
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}
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}
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fn buy_rule_check(
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&self,
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date: NaiveDate,
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snapshot: &crate::data::DailyMarketSnapshot,
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candidate: &crate::data::CandidateEligibility,
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) -> RuleCheck {
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if !self.aiquant_rqalpha_execution_rules {
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return self
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.rules
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.can_buy(date, snapshot, candidate, self.execution_price_field);
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}
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if snapshot.paused || candidate.is_paused {
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return RuleCheck::reject("paused");
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}
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let check_price = self.aiquant_limit_check_price(snapshot, OrderSide::Buy);
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if snapshot.is_at_upper_limit_price(check_price) {
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return RuleCheck::reject("open at or above upper limit");
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}
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RuleCheck::allow()
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}
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fn sell_rule_check(
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&self,
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date: NaiveDate,
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snapshot: &crate::data::DailyMarketSnapshot,
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candidate: &crate::data::CandidateEligibility,
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position: &crate::portfolio::Position,
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) -> RuleCheck {
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if !self.aiquant_rqalpha_execution_rules {
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return self.rules.can_sell(
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date,
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snapshot,
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candidate,
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position,
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self.execution_price_field,
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);
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}
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if snapshot.paused || candidate.is_paused {
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return RuleCheck::reject("paused");
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}
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let check_price = self.aiquant_limit_check_price(snapshot, OrderSide::Sell);
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if snapshot.is_at_lower_limit_price(check_price) {
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return RuleCheck::reject("open at or below lower limit");
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}
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if position.sellable_qty(date) == 0 {
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return RuleCheck::reject("t+1 sellable quantity is zero");
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}
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RuleCheck::allow()
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}
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fn minimum_target_quantity(
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&self,
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date: NaiveDate,
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@@ -1847,13 +1917,7 @@ where
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let Ok(candidate) = data.require_candidate(date, symbol) else {
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return current_qty;
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};
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let rule = self.rules.can_sell(
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date,
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snapshot,
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candidate,
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position,
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self.execution_price_field,
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);
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let rule = self.sell_rule_check(date, snapshot, candidate, position);
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if !rule.allowed {
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return current_qty;
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}
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@@ -1891,9 +1955,7 @@ where
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let Ok(candidate) = data.require_candidate(date, symbol) else {
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return current_qty;
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};
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let rule = self
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.rules
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.can_buy(date, snapshot, candidate, self.execution_price_field);
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let rule = self.buy_rule_check(date, snapshot, candidate);
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if !rule.allowed {
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return current_qty;
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}
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@@ -1937,13 +1999,7 @@ where
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let position = portfolio.position(symbol)?;
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let snapshot = data.require_market(date, symbol).ok()?;
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let candidate = data.require_candidate(date, symbol).ok()?;
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let rule = self.rules.can_sell(
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date,
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snapshot,
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candidate,
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position,
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self.execution_price_field,
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);
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let rule = self.sell_rule_check(date, snapshot, candidate, position);
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if !rule.allowed {
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return rule.reason;
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}
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@@ -1983,9 +2039,7 @@ where
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) -> Option<String> {
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let snapshot = data.require_market(date, symbol).ok()?;
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let candidate = data.require_candidate(date, symbol).ok()?;
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let rule = self
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.rules
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.can_buy(date, snapshot, candidate, self.execution_price_field);
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let rule = self.buy_rule_check(date, snapshot, candidate);
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if !rule.allowed {
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return rule.reason;
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}
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@@ -2055,13 +2109,7 @@ where
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);
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}
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let rule = self.rules.can_sell(
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date,
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snapshot,
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candidate,
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position,
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self.execution_price_field,
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);
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let rule = self.sell_rule_check(date, snapshot, candidate, position);
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if !rule.allowed {
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let rule_reason = rule.reason.as_deref().unwrap_or_default().to_string();
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let status = match rule.reason.as_deref() {
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@@ -3494,9 +3542,7 @@ where
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);
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}
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let rule = self
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.rules
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.can_buy(date, snapshot, candidate, self.execution_price_field);
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let rule = self.buy_rule_check(date, snapshot, candidate);
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if !rule.allowed {
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let rule_reason = rule.reason.as_deref().unwrap_or_default().to_string();
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let status = match rule.reason.as_deref() {
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@@ -4717,7 +4763,9 @@ fn sell_reason(decision: &StrategyDecision, symbol: &str) -> &'static str {
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mod tests {
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use super::{BrokerSimulator, MatchingType};
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use crate::cost::ChinaAShareCostModel;
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use crate::data::{DailyMarketSnapshot, IntradayExecutionQuote, PriceField};
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use crate::data::{
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CandidateEligibility, DailyMarketSnapshot, IntradayExecutionQuote, PriceField,
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};
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use crate::events::OrderSide;
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use crate::rules::ChinaEquityRuleHooks;
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@@ -4765,6 +4813,21 @@ mod tests {
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}
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}
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fn limit_test_candidate(allow_buy: bool, allow_sell: bool) -> CandidateEligibility {
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let date = chrono::NaiveDate::from_ymd_opt(2025, 1, 2).expect("valid date");
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CandidateEligibility {
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date,
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symbol: "000001.SZ".to_string(),
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is_st: false,
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is_new_listing: false,
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is_paused: false,
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allow_buy,
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allow_sell,
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is_kcb: false,
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is_one_yuan: false,
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}
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}
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#[test]
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fn next_tick_last_without_volume_or_liquidity_limit_does_not_cap_quote_quantity() {
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let broker = BrokerSimulator::new(ChinaAShareCostModel::default(), ChinaEquityRuleHooks)
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@@ -4849,6 +4912,38 @@ mod tests {
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assert_eq!(fill.unfilled_reason, Some("open at or above upper limit"));
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}
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#[test]
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fn aiquant_rules_allow_buy_when_day_flags_block_but_last_price_is_tradable() {
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let mut snapshot = limit_test_snapshot();
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snapshot.open = 11.0;
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snapshot.day_open = 11.0;
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snapshot.last_price = 10.98;
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snapshot.ask1 = 11.0;
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let candidate = limit_test_candidate(false, true);
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let date = snapshot.date;
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let default_broker = BrokerSimulator::new_with_execution_price(
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ChinaAShareCostModel::default(),
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ChinaEquityRuleHooks,
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PriceField::Last,
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);
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let default_rule = default_broker.buy_rule_check(date, &snapshot, &candidate);
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assert!(!default_rule.allowed);
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assert_eq!(
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default_rule.reason.as_deref(),
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Some("buy disabled by eligibility flags")
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);
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let aiquant_broker = BrokerSimulator::new_with_execution_price(
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ChinaAShareCostModel::default(),
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ChinaEquityRuleHooks,
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PriceField::Last,
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)
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.with_aiquant_rqalpha_execution_rules(true);
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let aiquant_rule = aiquant_broker.buy_rule_check(date, &snapshot, &candidate);
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assert!(aiquant_rule.allowed);
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}
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#[test]
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fn intraday_execution_rejects_sell_at_lower_limit_price() {
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let broker = BrokerSimulator::new_with_execution_price(
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@@ -53,6 +53,14 @@ impl Default for ChinaAShareCostModel {
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}
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impl ChinaAShareCostModel {
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pub fn aiquant_rqalpha_default() -> Self {
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Self {
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stamp_tax_rate_before_change: 0.0005,
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stamp_tax_rate_after_change: 0.0005,
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..Self::default()
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}
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}
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pub fn commission_for(&self, gross_amount: f64) -> f64 {
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if gross_amount <= 0.0 {
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return 0.0;
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@@ -313,6 +313,7 @@ pub struct BacktestEngine<S, C, R> {
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broker: BrokerSimulator<C, R>,
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config: BacktestConfig,
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dividend_reinvestment: bool,
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cash_dividends_enabled: bool,
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process_event_bus: ProcessEventBus,
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dynamic_universe: Option<BTreeSet<String>>,
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subscriptions: BTreeSet<String>,
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@@ -338,6 +339,7 @@ impl<S, C, R> BacktestEngine<S, C, R> {
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broker,
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config,
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dividend_reinvestment: false,
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cash_dividends_enabled: true,
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process_event_bus: ProcessEventBus::new(),
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dynamic_universe: None,
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subscriptions: BTreeSet::new(),
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@@ -356,6 +358,11 @@ impl<S, C, R> BacktestEngine<S, C, R> {
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self
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}
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pub fn with_cash_dividends(mut self, enabled: bool) -> Self {
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self.cash_dividends_enabled = enabled;
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self
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}
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pub fn with_futures_account(mut self, account: FuturesAccountState) -> Self {
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self.futures_account = Some(account);
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self
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@@ -2521,7 +2528,7 @@ where
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continue;
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}
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if action.share_cash.abs() > f64::EPSILON {
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if self.cash_dividends_enabled && action.share_cash.abs() > f64::EPSILON {
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let cash_before = portfolio.cash();
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let (cash_delta, quantity_after, average_cost) = {
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let position = portfolio
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@@ -2990,24 +2997,17 @@ where
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}
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let quantity = position.quantity;
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let fallback_reference_price = if position.last_price > 0.0 {
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let settlement_price = if position.last_price.is_finite() && position.last_price > 0.0 {
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position.last_price
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} else {
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} else if position.average_cost.is_finite() && position.average_cost > 0.0 {
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position.average_cost
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} else {
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0.0
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};
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let effective_delisted_at = instrument
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.delisted_at
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.or_else(|| self.data.calendar().previous_day(date))
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.unwrap_or(date);
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let settlement_price = self
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.data
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.price_on_or_before(effective_delisted_at, &symbol, PriceField::Close)
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.or_else(|| {
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self.data
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.price_on_or_before(date, &symbol, PriceField::Close)
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})
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.filter(|price| price.is_finite() && *price > 0.0)
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.unwrap_or(fallback_reference_price);
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if !settlement_price.is_finite() || settlement_price <= 0.0 {
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return Err(BacktestError::Execution(format!(
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"missing delisting settlement price for {} on {}",
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File diff suppressed because it is too large
Load Diff
@@ -52,6 +52,8 @@ pub struct StrategyUniverseSpec {
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#[derive(Debug, Clone, Default, Deserialize, Serialize)]
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#[serde(rename_all = "camelCase")]
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pub struct StrategyExecutionSpec {
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#[serde(default)]
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pub compatibility_profile: Option<String>,
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#[serde(default)]
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pub matching_type: Option<String>,
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#[serde(default)]
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@@ -370,6 +372,13 @@ pub fn platform_expr_config_from_spec(
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{
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cfg.rebalance_schedule = Some(schedule);
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}
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if let Some(time) = engine
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.rebalance_schedule
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.as_ref()
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.and_then(parse_schedule_execution_time)
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{
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cfg.intraday_execution_time = Some(time);
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}
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if let Some(stock_ma_filter) = engine.stock_ma_filter.as_ref() {
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if let Some(days) = stock_ma_filter.short_days.filter(|value| *value > 0) {
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cfg.stock_short_ma_days = days;
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@@ -499,6 +508,13 @@ pub fn platform_expr_config_from_spec(
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{
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cfg.rebalance_schedule = Some(schedule);
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}
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if let Some(time) = runtime_expr
|
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.schedule
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.as_ref()
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.and_then(parse_schedule_execution_time)
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{
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cfg.intraday_execution_time = Some(time);
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}
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if let Some(selection) = runtime_expr.selection.as_ref() {
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if let Some(expr) = selection
|
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.limit_expr
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@@ -628,6 +644,13 @@ pub fn platform_expr_config_from_spec(
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{
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cfg.explicit_action_schedule = Some(schedule);
|
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}
|
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if let Some(time) = trading
|
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.schedule
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.as_ref()
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.and_then(parse_schedule_execution_time)
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{
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cfg.intraday_execution_time = Some(time);
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}
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cfg.explicit_actions = trading
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.actions
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.iter()
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@@ -688,6 +711,16 @@ pub fn platform_expr_config_from_spec(
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if !cfg.benchmark_symbol.trim().is_empty() {
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cfg.benchmark_symbol = normalize_symbol(&cfg.benchmark_symbol, None);
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}
|
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if spec
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.execution
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.as_ref()
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.and_then(|execution| execution.compatibility_profile.as_deref())
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.map(|value| value.trim().to_ascii_lowercase())
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.is_some_and(|value| value == "aiquant_rqalpha" || value == "aiquant")
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{
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cfg.calendar_rebalance_interval = true;
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cfg.aiquant_transaction_cost = true;
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}
|
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|
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cfg
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}
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@@ -744,6 +777,16 @@ fn parse_schedule_time_rule(
|
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}
|
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}
|
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|
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fn parse_schedule_execution_time(schedule: &StrategyExpressionScheduleConfig) -> Option<NaiveTime> {
|
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match parse_schedule_time_rule(schedule)? {
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ScheduleTimeRule::BeforeTrading => NaiveTime::from_hms_opt(9, 0, 0),
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ScheduleTimeRule::MinuteOfDay(minutes) => {
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let seconds = minutes.checked_mul(60)?;
|
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NaiveTime::from_num_seconds_from_midnight_opt(seconds, 0)
|
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}
|
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}
|
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}
|
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|
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fn parse_schedule_clock_time(raw: Option<&str>) -> Option<NaiveTime> {
|
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let value = raw?.trim();
|
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if value.is_empty() {
|
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@@ -1060,6 +1103,7 @@ mod tests {
|
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"signalSymbol": "000852.SH",
|
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"benchmark": { "instrumentId": "000852.SH" },
|
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"universe": { "exclude": ["paused", "st", "kcb", "one_yuan"] },
|
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"execution": { "compatibilityProfile": "aiquant_rqalpha" },
|
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"runtimeExpressions": {
|
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"prelude": "let stocknum = 8;",
|
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"selection": {
|
||||
@@ -1094,10 +1138,32 @@ mod tests {
|
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assert!(!cfg.rotation_enabled);
|
||||
assert!(cfg.daily_top_up_enabled);
|
||||
assert!(cfg.retry_empty_rebalance);
|
||||
assert!(cfg.calendar_rebalance_interval);
|
||||
assert!(cfg.aiquant_transaction_cost);
|
||||
assert_eq!(cfg.explicit_actions.len(), 1);
|
||||
assert_eq!(
|
||||
cfg.explicit_action_stage,
|
||||
PlatformExplicitActionStage::OpenAuction
|
||||
);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn parses_daily_schedule_time_for_aiquant_execution_quotes() {
|
||||
let spec = serde_json::json!({
|
||||
"execution": { "compatibilityProfile": "aiquant_rqalpha" },
|
||||
"runtimeExpressions": {
|
||||
"schedule": { "frequency": "daily", "time": "09:33" }
|
||||
}
|
||||
});
|
||||
|
||||
let cfg = platform_expr_config_from_value("", "", &spec).expect("config");
|
||||
|
||||
assert_eq!(cfg.rebalance_schedule, None);
|
||||
assert_eq!(
|
||||
cfg.intraday_execution_time,
|
||||
Some(NaiveTime::from_hms_opt(9, 33, 0).unwrap())
|
||||
);
|
||||
assert!(cfg.calendar_rebalance_interval);
|
||||
assert!(cfg.aiquant_transaction_cost);
|
||||
}
|
||||
}
|
||||
|
||||
@@ -546,8 +546,8 @@ pub fn build_optimization_prompt(
|
||||
prompt.push_str("你是 OmniQuant 平台策略脚本优化器。必须输出完整、可运行的平台策略脚本,不要输出解释文本。\n");
|
||||
prompt.push_str("输出格式硬约束:回复第一行必须是 strategy(\"...\")、let、fn、const 或 //;回复中不得包含 Markdown、解释、思考过程、手册复述、JSON 包装或自然语言总结。\n");
|
||||
prompt.push_str("长度硬约束:策略代码目标 80 行以内,只保留必要 let/fn/strategy 块;不要复制下面的手册片段、历史策略全文或字段清单。\n");
|
||||
prompt.push_str("只修改与优化目标相关的少量参数或过滤条件,保留原策略的市场、基准、信号指数和核心风控;不要引入手册未列出的字段或外部平台 API 名称。\n");
|
||||
prompt.push_str("优化可以调整调仓周期、持仓数、市值带、filter.stock_expr、ordering.rank_expr、allocation.buy_scale、止盈止损;如上一轮无交易或质量分过低,必须先放宽过滤条件并优先使用已入库指标因子、rolling_mean/ma/vma/rolling_stddev/pct_change 等支持函数。\n");
|
||||
prompt.push_str("优化不限制在原策略已有参数或少量扰动。只要 OmniQuant/FIDC 已支持,可以自由增加、修改、删除策略代码、参数、候选池、过滤函数、排序、仓位、止盈止损、调仓周期、指标因子和辅助函数;不得引入手册未列出的字段或外部平台 API 名称。\n");
|
||||
prompt.push_str("可以使用所有已入库日频字段、指标因子和表达式函数,例如 rolling_mean/ma/vma/rolling_sum/rolling_stddev/pct_change/factor/factor_value/factors;如上一轮无交易或质量分过低,必须先扩大候选覆盖并修正不可交易过滤,再优化收益。\n");
|
||||
prompt.push_str("优化目标:\n");
|
||||
prompt.push_str(&format!("- {}\n\n", request.objective));
|
||||
prompt.push_str("当前策略代码如下,仅作为输入参考;回复时不要包含 Markdown 代码围栏:\n");
|
||||
|
||||
@@ -492,7 +492,7 @@ fn engine_applies_successor_conversion_before_delisted_cash_settlement() {
|
||||
.iter()
|
||||
.find(|holding| holding.symbol == "000002.SZ")
|
||||
.expect("successor holding exists");
|
||||
assert_eq!(successor_holding.quantity, 500);
|
||||
assert_eq!(successor_holding.quantity, 450);
|
||||
assert!(
|
||||
result
|
||||
.holdings_summary
|
||||
@@ -503,6 +503,6 @@ fn engine_applies_successor_conversion_before_delisted_cash_settlement() {
|
||||
event
|
||||
.note
|
||||
.contains("successor_conversion 000001.SZ->000002.SZ")
|
||||
&& event.note.contains("cash=1000.00")
|
||||
&& event.note.contains("cash=900.00")
|
||||
}));
|
||||
}
|
||||
|
||||
Reference in New Issue
Block a user