优化日循环对象查找并加入 profiling 工具
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@@ -1314,6 +1314,8 @@ pub struct DataSet {
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factor_symbol_ids_by_date: Arc<BTreeMap<NaiveDate, Vec<u32>>>,
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factor_row_positions_by_date: Arc<Option<DenseRowPositionIndex>>,
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factor_text_by_date: Arc<BTreeMap<NaiveDate, Vec<FactorTextValue>>>,
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factor_text_symbol_indices_by_date:
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Arc<BTreeMap<NaiveDate, AHashMap<String, Vec<usize>>>>,
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factor_text_index: Arc<HashMap<(NaiveDate, String, String), FactorTextValue>>,
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candidate_by_date: Arc<BTreeMap<NaiveDate, Vec<CandidateEligibility>>>,
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candidate_symbol_ids_by_date: Arc<BTreeMap<NaiveDate, Vec<u32>>>,
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@@ -1711,6 +1713,19 @@ impl DataSet {
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})
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.collect::<Vec<_>>();
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let factor_text_by_date = group_by_date(factor_texts.clone(), |item| item.date);
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let mut factor_text_symbol_indices_by_date =
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BTreeMap::<NaiveDate, AHashMap<String, Vec<usize>>>::new();
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for (date, rows) in &factor_text_by_date {
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let by_symbol = factor_text_symbol_indices_by_date
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.entry(*date)
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.or_default();
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for (index, row) in rows.iter().enumerate() {
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by_symbol
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.entry(row.symbol.clone())
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.or_default()
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.push(index);
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}
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}
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let factor_text_index = factor_texts
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.into_iter()
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.map(|item| ((item.date, item.symbol.clone(), item.field.clone()), item))
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@@ -1781,6 +1796,7 @@ impl DataSet {
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factor_symbol_ids_by_date: Arc::new(factor_symbol_ids_by_date),
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factor_row_positions_by_date: Arc::new(factor_row_positions_by_date),
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factor_text_by_date: Arc::new(factor_text_by_date),
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factor_text_symbol_indices_by_date: Arc::new(factor_text_symbol_indices_by_date),
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factor_text_index: Arc::new(factor_text_index),
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candidate_by_date: Arc::new(candidate_by_date),
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candidate_symbol_ids_by_date: Arc::new(candidate_symbol_ids_by_date),
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@@ -2897,6 +2913,31 @@ impl DataSet {
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.unwrap_or(&[])
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}
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pub fn for_each_factor_text_row_for_symbol_on<F>(
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&self,
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date: NaiveDate,
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symbol: &str,
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mut visit: F,
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) where
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F: FnMut(&FactorTextValue),
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{
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let Some(rows) = self.factor_text_by_date.get(&date) else {
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return;
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};
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let Some(indices) = self
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.factor_text_symbol_indices_by_date
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.get(&date)
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.and_then(|by_symbol| by_symbol.get(symbol))
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else {
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return;
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};
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for index in indices {
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if let Some(row) = rows.get(*index) {
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visit(row);
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}
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}
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}
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pub fn market_snapshots_on(&self, date: NaiveDate) -> Vec<&DailyMarketSnapshot> {
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self.market_by_date
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.get(&date)
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@@ -5909,4 +5950,50 @@ mod tests {
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Some((200.0 + 9_999.0) / 2.0)
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);
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}
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#[test]
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fn factor_text_symbol_index_matches_scan_semantics() {
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let date = NaiveDate::parse_from_str("2025-01-02", "%Y-%m-%d").unwrap();
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let data = DataSet::from_components_with_factor_texts(
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vec![Instrument {
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symbol: "000001.SZ".to_string(),
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name: "平安银行".to_string(),
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board: "SZ".to_string(),
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round_lot: 100,
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listed_at: None,
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delisted_at: None,
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status: "active".to_string(),
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}],
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vec![market_row("2025-01-02", 10.0, 1_000_000)],
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Vec::new(),
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Vec::new(),
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vec![benchmark_row("2025-01-02", 12.0)],
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vec![
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FactorTextValue {
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date,
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symbol: "000001.SZ".to_string(),
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field: "signal".to_string(),
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value: "buy".to_string(),
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},
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FactorTextValue {
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date,
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symbol: "000002.SZ".to_string(),
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field: "signal".to_string(),
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value: "hold".to_string(),
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},
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],
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)
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.unwrap();
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let mut values = Vec::new();
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data.for_each_factor_text_row_for_symbol_on(date, "000001.SZ", |row| {
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values.push((row.field.clone(), row.value.clone()));
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});
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assert_eq!(values, vec![("signal".to_string(), "buy".to_string())]);
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let mut missing = Vec::new();
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data.for_each_factor_text_row_for_symbol_on(date, "000003.SZ", |row| {
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missing.push(row.field.clone());
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});
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assert!(missing.is_empty());
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}
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}
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@@ -996,6 +996,7 @@ pub struct PlatformExprStrategy {
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stock_state_cache: RefCell<
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AHashMap<(NaiveDate, NaiveDate, u32, Option<NaiveTime>, bool), Arc<StockExpressionState>>,
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>,
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normalized_universe_exclude: AHashSet<String>,
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}
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#[derive(Debug, Clone, PartialEq)]
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@@ -1274,6 +1275,12 @@ impl PlatformExprStrategy {
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&normalized_stock_filter_expr,
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&prelude_declared_identifiers,
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);
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let normalized_universe_exclude = config
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.universe_exclude
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.iter()
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.map(|item| item.trim().to_ascii_uppercase())
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.filter(|item| !item.is_empty())
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.collect();
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let portfolio_drawdown_controller = config
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.portfolio_drawdown_control
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.clone()
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@@ -1310,6 +1317,7 @@ impl PlatformExprStrategy {
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stock_text_factors_required,
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stock_state_cache_date: RefCell::new(None),
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stock_state_cache: RefCell::new(AHashMap::new()),
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normalized_universe_exclude,
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}
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}
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@@ -3885,12 +3893,19 @@ impl PlatformExprStrategy {
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symbol: symbol.to_string(),
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})
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})?;
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{
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let reset_stock_state_cache = {
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let mut cache_date = self.stock_state_cache_date.borrow_mut();
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if *cache_date != Some(date) {
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self.stock_state_cache.borrow_mut().clear();
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*cache_date = Some(date);
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true
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} else {
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false
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}
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};
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if reset_stock_state_cache {
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let mut cache = self.stock_state_cache.borrow_mut();
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cache.clear();
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cache.reserve(ctx.data.factor_snapshot_rows_on(factor_date).len());
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}
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let cache_key = (
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date,
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@@ -4135,12 +4150,15 @@ impl PlatformExprStrategy {
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stock_volume_ma100,
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extra_factors,
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extra_text_factors: if self.stock_text_factors_required {
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ctx.data
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.factor_text_rows_on(date)
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.iter()
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.filter(|row| row.symbol == symbol)
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.map(|row| (row.field.clone(), row.value.clone()))
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.collect()
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let mut values = BTreeMap::new();
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ctx.data.for_each_factor_text_row_for_symbol_on(
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date,
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symbol,
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|row| {
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values.insert(row.field.clone(), row.value.clone());
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},
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);
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values
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} else {
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BTreeMap::new()
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},
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@@ -8881,9 +8899,13 @@ impl PlatformExprStrategy {
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selection_risk_deferral: SelectionRiskDeferral,
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collect_risk_decisions: bool,
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) -> (Vec<EligibleUniverseSnapshot>, Vec<FidcRiskDecisionAudit>) {
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let mut rows = Vec::new();
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let mut decisions = Vec::new();
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let factor_rows = ctx.data.factor_snapshot_rows_on(factor_date);
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let mut rows = Vec::with_capacity(factor_rows.len());
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let mut decisions = if collect_risk_decisions {
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Vec::with_capacity(factor_rows.len())
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} else {
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Vec::new()
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};
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let factor_symbol_ids = ctx.data.factor_symbol_ids_on(factor_date);
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debug_assert_eq!(factor_rows.len(), factor_symbol_ids.len());
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for (factor, symbol_id) in factor_rows.iter().zip(factor_symbol_ids.iter().copied()) {
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@@ -9060,9 +9082,29 @@ impl PlatformExprStrategy {
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_candidate: &crate::data::CandidateEligibility,
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market: &DailyMarketSnapshot,
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) -> bool {
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Self::universe_exclude_reason(&self.config.universe_exclude, &market.symbol).is_none()
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self.configured_universe_exclude_reason(&market.symbol).is_none()
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}
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fn configured_universe_exclude_reason(&self, symbol: &str) -> Option<&'static str> {
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let normalized_symbol = symbol.trim().to_ascii_uppercase();
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if normalized_symbol.is_empty() {
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return None;
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}
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let symbol_base = normalized_symbol.split('.').next().unwrap_or("");
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if self.normalized_universe_exclude.contains("BJSE")
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&& normalized_symbol.ends_with(".BJ")
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{
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return Some("bjse");
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}
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if self.normalized_universe_exclude.contains(&normalized_symbol)
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|| (!symbol_base.is_empty() && self.normalized_universe_exclude.contains(symbol_base))
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{
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return Some("universe_exclude");
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}
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None
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}
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#[cfg(test)]
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fn universe_exclude_reason(excludes: &[String], symbol: &str) -> Option<&'static str> {
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let normalized_symbol = symbol.trim().to_ascii_lowercase();
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if normalized_symbol.is_empty() {
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@@ -9370,9 +9412,7 @@ impl PlatformExprStrategy {
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let market = ctx.data.require_market(date, symbol)?;
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let candidate = ctx.data.require_candidate(date, symbol)?;
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if let Some(reason) =
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Self::universe_exclude_reason(&self.config.universe_exclude, &market.symbol)
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{
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if let Some(reason) = self.configured_universe_exclude_reason(&market.symbol) {
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return Ok(Some(reason.to_string()));
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}
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let upper_limit_check_price =
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