Add suspended and ST data helpers
This commit is contained in:
@@ -947,6 +947,18 @@ impl DataSet {
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self.calendar.next_trading_date(date, n)
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}
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pub fn is_suspended_flags(&self, date: NaiveDate, symbol: &str, count: usize) -> Vec<bool> {
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self.historical_daily_flags(date, symbol, count, |candidate, market| {
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candidate.is_some_and(|row| row.is_paused) || market.is_some_and(|row| row.paused)
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})
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}
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pub fn is_st_stock_flags(&self, date: NaiveDate, symbol: &str, count: usize) -> Vec<bool> {
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self.historical_daily_flags(date, symbol, count, |candidate, _| {
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candidate.is_some_and(|row| row.is_st)
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})
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}
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pub fn price(&self, date: NaiveDate, symbol: &str, field: PriceField) -> Option<f64> {
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let snapshot = self.market(date, symbol)?;
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Some(snapshot.price(field))
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@@ -1047,6 +1059,36 @@ impl DataSet {
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.collect()
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}
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fn historical_daily_flags<F>(
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&self,
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date: NaiveDate,
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symbol: &str,
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count: usize,
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evaluator: F,
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) -> Vec<bool>
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where
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F: Fn(Option<&CandidateEligibility>, Option<&DailyMarketSnapshot>) -> bool,
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{
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if count == 0 {
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return Vec::new();
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}
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let days = self
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.calendar
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.iter()
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.filter(|day| *day <= date)
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.collect::<Vec<_>>();
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let start = days.len().saturating_sub(count);
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days[start..]
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.iter()
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.map(|day| {
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evaluator(
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self.candidate_index.get(&(*day, symbol.to_string())),
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self.market_index.get(&(*day, symbol.to_string())),
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)
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})
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.collect()
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}
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pub fn market_decision_close(&self, date: NaiveDate, symbol: &str) -> Option<f64> {
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self.market_series_by_symbol
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.get(symbol)
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@@ -285,6 +285,16 @@ impl StrategyContext<'_> {
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self.data.next_trading_date(date, n)
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}
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pub fn is_suspended(&self, symbol: &str, count: usize) -> Vec<bool> {
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self.data
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.is_suspended_flags(self.execution_date, symbol, count)
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}
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pub fn is_st_stock(&self, symbol: &str, count: usize) -> Vec<bool> {
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self.data
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.is_st_stock_flags(self.execution_date, symbol, count)
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}
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pub fn has_subscriptions(&self) -> bool {
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!self.subscriptions.is_empty()
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}
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@@ -199,6 +199,7 @@ pub fn built_in_strategy_manual() -> StrategyAiManual {
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ManualFunction { name: "current_snapshot".to_string(), signature: "ctx.current_snapshot(symbol)".to_string(), detail: "读取当前交易日指定证券的日级快照,可用于获得当日 open/close/last/upper_limit/lower_limit 等字段。".to_string() },
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ManualFunction { name: "instrument/instruments/all_instruments".to_string(), signature: "ctx.instrument(symbol)".to_string(), detail: "读取证券元数据,包括名称、板块、上市日期、退市日期、最小下单量、整手、最小价位等;all_instruments 按证券代码稳定排序返回全量证券。".to_string() },
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ManualFunction { name: "get_trading_dates/get_previous_trading_date/get_next_trading_date".to_string(), signature: "ctx.get_previous_trading_date(date, n)".to_string(), detail: "交易日历 API。get_trading_dates 返回闭区间交易日;previous/next 返回相对某日向前或向后的第 n 个交易日,当前日自身不计入。".to_string() },
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ManualFunction { name: "is_suspended/is_st_stock".to_string(), signature: "ctx.is_suspended(symbol, count)".to_string(), detail: "读取指定证券截至当前交易日最近 count 个交易日的停牌或 ST 标记,返回 bool 序列,顺序从旧到新;对应 RQAlpha 的 is_suspended/is_st_stock 数据源能力。".to_string() },
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ManualFunction { name: "rolling_mean".to_string(), signature: "rolling_mean(\"field\", lookback)".to_string(), detail: "任意字段滚动均值,支持 volume/amount/turnover_ratio、signal_open/signal_close、benchmark_open/benchmark_close 等。任意成交量窗口推荐用它,比如 rolling_mean(\"volume\", 15)。".to_string() },
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ManualFunction { name: "sma".to_string(), signature: "sma(\"field\", lookback)".to_string(), detail: "rolling_mean 的别名。任意价格均线窗口推荐用它,比如 sma(\"close\", 15)。".to_string() },
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ManualFunction { name: "round/floor/ceil/abs/min/max/clamp".to_string(), signature: "round(x)".to_string(), detail: "常用数值函数。".to_string() },
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@@ -20,6 +20,14 @@ fn dt(year: i32, month: u32, day: u32, hour: u32, minute: u32, second: u32) -> N
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.expect("valid datetime")
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}
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fn bool_flags(values: Vec<bool>) -> String {
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values
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.into_iter()
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.map(|value| if value { "1" } else { "0" })
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.collect::<Vec<_>>()
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.join(",")
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}
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struct HookProbeStrategy {
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log: Rc<RefCell<Vec<String>>>,
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}
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@@ -420,8 +428,10 @@ impl Strategy for DataApiProbeStrategy {
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let trading_date_count = ctx
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.get_trading_dates(d(2025, 1, 2), ctx.execution_date)
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.len();
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let suspended = bool_flags(ctx.is_suspended("000001.SZ", 3));
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let st_flags = bool_flags(ctx.is_st_stock("000001.SZ", 3));
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self.snapshots.borrow_mut().push(format!(
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"daily={daily_close};previous={previous_close};tick={tick_last};previous_tick={previous_tick_last};current={current_close};instrument={instrument_name};all={};range={trading_date_count};prev={prev_date};next={next_date}",
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"daily={daily_close};previous={previous_close};tick={tick_last};previous_tick={previous_tick_last};current={current_close};instrument={instrument_name};all={};range={trading_date_count};prev={prev_date};next={next_date};suspended={suspended};st={st_flags}",
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ctx.all_instruments().len()
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));
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}
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@@ -935,20 +945,24 @@ fn strategy_context_exposes_rqalpha_style_data_helpers() {
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extra_factors: BTreeMap::new(),
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})
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.collect::<Vec<_>>();
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let candidates = [date1, date2, date3]
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.into_iter()
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.map(|date| 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: true,
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allow_sell: true,
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is_kcb: false,
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is_one_yuan: false,
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})
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.collect::<Vec<_>>();
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let candidates = [
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(date1, false, false),
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(date2, true, true),
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(date3, false, false),
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]
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.into_iter()
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.map(|(date, is_paused, is_st)| CandidateEligibility {
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date,
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symbol: "000001.SZ".to_string(),
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is_st,
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is_new_listing: false,
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is_paused,
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allow_buy: true,
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allow_sell: true,
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is_kcb: false,
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is_one_yuan: false,
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})
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.collect::<Vec<_>>();
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let benchmarks = [
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(date1, 100.0, 99.0),
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(date2, 101.0, 100.0),
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@@ -1045,7 +1059,7 @@ fn strategy_context_exposes_rqalpha_style_data_helpers() {
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assert_eq!(
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snapshots.borrow().as_slice(),
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[
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"daily=10.10,10.20;previous=10.00,10.10;tick=10.15,10.25;previous_tick=10.15;current=10.20;instrument=Anchor;all=1;range=3;prev=2025-01-03;next=2025-01-06"
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"daily=10.10,10.20;previous=10.00,10.10;tick=10.15,10.25;previous_tick=10.15;current=10.20;instrument=Anchor;all=1;range=3;prev=2025-01-03;next=2025-01-06;suspended=0,1,0;st=0,1,0"
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]
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);
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}
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@@ -56,6 +56,13 @@ current alignment pass.
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- [x] phase-aware minute/tick history cursor semantics matching the active
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bar or tick callback
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### Phase 7: Remaining stock data-source API parity
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- [x] `is_suspended`
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- [x] `is_st_stock`
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- [ ] `get_price` style date-range tabular API
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- [ ] `instruments_history`
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## Execution Order
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1. Close the explicit order API gap with target-shares / `order_to` parity.
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@@ -64,10 +71,11 @@ current alignment pass.
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4. Add dynamic universe APIs.
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5. Add algo-order styles.
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6. Finish position accounting parity.
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7. Continue parity audit for remaining account, order, and data-source APIs.
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7. Continue stock data-source API parity.
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8. Continue parity audit for remaining account and order object APIs.
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## Current Step
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Active implementation target: continue parity audit for remaining account,
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order, and data-source APIs after the stock strategy API, scheduler, universe,
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algo-order, position accounting, and core strategy data helpers are covered.
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Active implementation target: continue stock data-source API parity after
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covering suspended/ST historical flags; next larger gap is a `get_price` style
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date-range tabular API and instruments history.
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