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| Author | SHA1 | Date | |
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fc1bc1f474 |
+4
-133
@@ -1,7 +1,7 @@
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//! Conditional formatting evaluation: what extra style, data bar, colour scale or icon a cell
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//! gets.
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use std::collections::{HashMap, HashSet};
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use std::collections::HashMap;
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use gridcraft_core::{CellRef, RangeRef, Value, compare};
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use gridcraft_model::{CfOperator, CfRule, CfValueKind, Color, CondFormat, PatternType, Sheet, Style, Underline, Workbook, default_icon_thresholds};
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@@ -47,8 +47,6 @@ enum StatsNeed {
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fn stats_need(rule: &CfRule) -> Option<StatsNeed> {
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match rule {
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CfRule::Duplicate { .. } | CfRule::Unique { .. } => Some(StatsNeed::Counts),
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// only two- and three-colour scales paint: no statistics for the others
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CfRule::ColorScale { stops } if !matches!(stops.len(), 2 | 3) => None,
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CfRule::Top10 { .. } | CfRule::AboveAverage { .. } | CfRule::ColorScale { .. } | CfRule::DataBar { .. } | CfRule::IconSet { .. } => {
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Some(StatsNeed::Numbers)
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}
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@@ -72,58 +70,15 @@ thread_local! {
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static SCANNED: std::cell::Cell<usize> = const { std::cell::Cell::new(0) };
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}
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/// Most cells one rule's statistics visit, across all of its ranges together: a rule repeating
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/// the same range many times must not multiply the scan.
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const STATS_SCAN_LIMIT: usize = 2_000_000;
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/// Steps through the spilled cells inside `r`, row-major: `Some(cell)` for each, and `None` for a
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/// jump past the spills left or right of the columns on a row (one step per row, however many
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/// there are), so unrelated spills between a narrow range's corners cost little.
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fn spill_steps(sh: &Sheet, r: RangeRef) -> impl Iterator<Item = Option<CellRef>> + '_ {
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let mut cur = Some(r.start);
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std::iter::from_fn(move || {
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let at = cur.filter(|at| *at <= r.end)?;
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let (&c, _) = sh.spill.range(at..=r.end).next()?;
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if c.col < r.start.col {
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cur = Some(CellRef::new(c.row, r.start.col));
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Some(None)
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} else if c.col > r.end.col {
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cur = c.row.checked_add(1).map(|row| CellRef::new(row, r.start.col));
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Some(None)
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} else {
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cur = c.col.checked_add(1).map(|col| CellRef::new(c.row, col));
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Some(Some(c))
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}
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})
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}
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fn numbers_in(sh: &Sheet, ranges: &[RangeRef], need: StatsNeed) -> (Vec<f64>, HashMap<String, usize>) {
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let mut nums = Vec::new();
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let mut counts = HashMap::new();
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let mut budget = STATS_SCAN_LIMIT;
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let mut seen: HashSet<RangeRef> = HashSet::new();
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let used = sh.used_range();
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for r in ranges {
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if budget == 0 {
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break;
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}
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let r = match used.and_then(|u| r.intersection(&u)) {
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let r = match sh.used_range().and_then(|u| r.intersection(&u)) {
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Some(x) => x,
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None => continue,
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};
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// The same range listed twice counts its cells once.
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if !seen.insert(r) {
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continue;
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}
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// Only stored and spilled cells hold values: blank cells of a sparse range cost nothing,
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// so a value far down a huge range is still counted. Every cell looked at is charged.
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let stored = sh.cells.iter_range(r).map(|(c, _)| (Some(c), true));
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let spilled = spill_steps(sh, r).map(|c| (c, false));
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for (c, is_stored) in stored.chain(spilled).take(budget) {
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budget -= 1;
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// a skip over spills outside the columns (charged, not read), or a spilled value
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// under a stored cell, which was read with it
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let Some(c) = c.filter(|c| is_stored || sh.cells.get(*c).is_none()) else { continue };
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for c in r.iter().take(2_000_000) {
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#[cfg(test)]
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SCANNED.with(|n| n.set(n.get() + 1));
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let v = sh.value(c);
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@@ -323,8 +278,7 @@ impl CfCache {
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_ => None,
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},
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CfRule::ColorScale { stops } => {
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// Only two- and three-colour scales paint: evaluate no thresholds for others.
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if let Some(n) = v.as_f64().filter(|_| matches!(stops.len(), 2 | 3)) {
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if let Some(n) = v.as_f64() {
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let pts: Vec<(f64, [u8; 3])> = stops
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.iter()
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.map(|(k, col)| (threshold(wb, sheet, c, st, k), col.resolve(&wb.theme).unwrap_or([255, 255, 255])))
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@@ -606,89 +560,6 @@ mod tests {
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assert_eq!(SCANNED.with(|n| n.get()), 10_000);
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}
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/// A rule listing the same range many times scans it once, and never more than the shared
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/// limit however many ranges it holds.
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#[test]
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fn repeated_ranges_share_one_scan_budget() {
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let mut s = crate::Session::new();
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s.new_workbook();
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s.execute("range.setValues", json!({"range": "A1", "values": [[1], [2], [3]]})).unwrap();
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s.execute("range.setValues", json!({"range": "XFD1048576", "values": [[4]]})).unwrap();
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let d = s.doc().unwrap();
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let sh = d.wb.sheet(0).unwrap();
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let dense = RangeRef::parse("A1:XFD1048576").unwrap();
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let small = RangeRef::parse("A1:A3").unwrap();
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SCANNED.with(|n| n.set(0));
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let st = RuleStats::build(sh, &vec![small; 1000], StatsNeed::Numbers);
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assert_eq!(st.sorted, vec![1.0, 2.0, 3.0]);
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assert_eq!(SCANNED.with(|n| n.get()), 3);
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let shifted: Vec<RangeRef> = (0..50).map(|i| RangeRef::new(CellRef::new(i, 0), dense.end)).collect();
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SCANNED.with(|n| n.set(0));
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RuleStats::build(sh, &shifted, StatsNeed::Numbers);
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assert!(SCANNED.with(|n| n.get()) <= STATS_SCAN_LIMIT);
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}
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/// Blank cells of a sparse range are not charged to the scan budget: a value at the end of two
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/// million-row columns still counts, so duplicates are found.
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#[test]
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fn sparse_ranges_keep_their_values_under_the_scan_budget() {
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let mut s = crate::Session::new();
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s.new_workbook();
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s.execute("range.setValues", json!({"range": "A1", "values": [[7]]})).unwrap();
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s.execute("range.setValues", json!({"range": "B1048576", "values": [[7]]})).unwrap();
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let d = s.doc().unwrap();
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let sh = d.wb.sheet(0).unwrap();
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let ranges = [RangeRef::parse("A1:A1048576").unwrap(), RangeRef::parse("B1:B1048576").unwrap()];
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SCANNED.with(|n| n.set(0));
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let st = RuleStats::build(sh, &ranges, StatsNeed::Counts);
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assert_eq!(st.counts.get("7"), Some(&2));
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assert_eq!(SCANNED.with(|n| n.get()), 2);
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}
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/// Spills left and right of a narrow range, between its corners, are skipped a row at a time:
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/// they do not use the budget that the in-range spills need.
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#[test]
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fn spills_outside_a_narrow_range_do_not_use_its_scan_budget() {
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let mut s = crate::Session::new();
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s.new_workbook();
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let d = s.doc().unwrap();
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let mut sh = d.wb.sheet(0).unwrap().clone();
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for row in 0..1000 {
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for col in [0u32, 5, 6, 7] {
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sh.spill.insert(CellRef::new(row, col), Value::Number(1.0));
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}
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}
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let r = RangeRef::parse("F1:G1000").unwrap();
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let steps: Vec<_> = spill_steps(&sh, r).collect();
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assert_eq!(steps.iter().flatten().count(), 2000);
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// column A is skipped one step a row, never one per cell
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assert!(steps.len() <= 2000 + 1000, "{}", steps.len());
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let narrow = RangeRef::parse("C1:C1000").unwrap();
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assert_eq!(spill_steps(&sh, narrow).flatten().count(), 0);
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}
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/// A colour scale with an unsupported number of stops paints nothing and evaluates none of them.
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#[test]
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fn colour_scales_with_other_stop_counts_paint_nothing() {
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let mut s = crate::Session::new();
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s.new_workbook();
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s.execute("range.setValues", json!({"range": "A1", "values": [[1], [5]]})).unwrap();
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let mut wb: Workbook = (*s.doc().unwrap().wb).clone();
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let stop = (CfValueKind::Formula("=1".into()), Color::default());
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let rule = |n: usize| CondFormat {
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ranges: vec![RangeRef::parse("A1:A2").unwrap()],
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rule: CfRule::ColorScale { stops: vec![stop.clone(); n] },
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priority: 1,
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stop_if_true: false,
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};
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wb.sheet_mut(0).unwrap().cond_formats.push(rule(4));
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let mut cache = CfCache::new();
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assert_eq!(cache.look(&wb, 0, CellRef::parse("A1").unwrap()).and_then(|l| l.scale_fill), None);
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wb.sheet_mut(0).unwrap().cond_formats = vec![rule(2)];
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let mut cache = CfCache::new();
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assert!(cache.look(&wb, 0, CellRef::parse("A1").unwrap()).and_then(|l| l.scale_fill).is_some());
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}
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#[test]
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fn cell_value_operator_names() {
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let mut s = crate::Session::new();
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@@ -53,25 +53,41 @@ fn concat(a: &[Arg], _c: &mut dyn Ctx) -> R<Value> {
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check_len(out)
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}
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/// The error `v.to_text()` would give, found without building any text.
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fn text_error(v: &Value) -> Option<CellError> {
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match v {
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Value::Error(e) => Some(*e),
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Value::Array(a) => a.data.first().and_then(text_error),
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_ => None,
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}
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}
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fn textjoin(a: &[Arg], _c: &mut dyn Ctx) -> R<Value> {
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let delims: Vec<String> = as_array(&arg(a, 0)?.value).iter().map(|v| v.to_text()).collect::<R<_>>()?;
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// Errors are found first, in argument order, so they win as before; text is then built one
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// piece at a time into the capped output, so many references to one long text (or a long
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// delimiter list) stop at the cap instead of first copying every piece.
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let delims = as_array(&arg(a, 0)?.value);
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if let Some(e) = delims.iter().find_map(text_error) {
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return Err(e);
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}
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let ignore = boolean(a, 1)?;
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let mut items = Vec::new();
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for x in a.iter().skip(2) {
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for v in as_array(&x.value).iter() {
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let s = v.to_text()?;
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if ignore && s.is_empty() {
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continue;
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}
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items.push(s);
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}
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let items: Vec<_> = a.iter().skip(2).map(|x| as_array(&x.value)).collect();
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if let Some(e) = items.iter().flat_map(|x| x.iter()).find_map(text_error) {
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return Err(e);
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}
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let mut out = String::new();
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for (i, s) in items.iter().enumerate() {
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if i > 0 && !delims.is_empty() {
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push_capped(&mut out, &delims[(i - 1) % delims.len()])?;
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let mut joined = 0usize;
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for v in items.iter().flat_map(|x| x.iter()) {
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let s = v.to_text()?;
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if ignore && s.is_empty() {
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continue;
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}
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push_capped(&mut out, s)?;
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if joined > 0 && !delims.data.is_empty() {
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let d = delims.data.get((joined - 1) % delims.data.len()).map(Value::to_text).transpose()?.unwrap_or_default();
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push_capped(&mut out, &d)?;
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}
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push_capped(&mut out, &s)?;
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joined += 1;
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}
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check_len(out)
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}
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@@ -1131,6 +1147,22 @@ mod tests {
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assert_eq!(rows_of(&ev("CONCATENATE", vec![av(row_t(&["a", "b"])), t("x")])), vec![vec![tv("ax"), tv("bx")]]);
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}
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/// Security: TEXTJOIN builds its result piece by piece and stops at the text cap, rather
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/// than first copying every input (100,000 references to one 32,767-character text were
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/// 3 GB of copies). Errors among the inputs still win, in argument order.
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#[test]
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fn textjoin_stops_at_the_text_cap() {
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use gridcraft_core::Array;
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let long = tv(&"x".repeat(32_767));
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let many = || av(Array::filled(100_000, 1, long.clone()).into());
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is_err(ev("TEXTJOIN", vec![t(","), b(true), many()]), CellError::Value);
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is_err(ev("TEXTJOIN", vec![av(Array::filled(1, 100_000, long.clone()).into()), b(false), t("a"), t("b")]), CellError::Value);
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is_err(ev("TEXTJOIN", vec![t(","), b(true), many(), e(CellError::Div0)]), CellError::Div0);
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is_err(ev("TEXTJOIN", vec![av(arr(vec![vec![tv(","), Value::Error(CellError::NA)]])), b(true), t("a")]), CellError::NA);
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// Delimiters cycle and are converted only where used.
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is_text(ev("TEXTJOIN", vec![av(arr(vec![vec![nv(1.0), tv(";")]])), b(false), t("a"), t("b"), t("c"), t("d")]), "a1b;c1d");
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}
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fn row_t(xs: &[&str]) -> Value {
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arr(vec![xs.iter().map(|x| tv(x)).collect()])
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}
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