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https://github.com/storytold/gridcraft.git
synced 2026-10-26 03:36:54 -06:00
551 lines
26 KiB
Rust
551 lines
26 KiB
Rust
//! 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;
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use gridcraft_core::{CellRef, RangeRef, Value, compare};
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use gridcraft_model::*;
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/// The conditional look of one cell.
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#[derive(Clone, Debug, Default, PartialEq)]
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pub struct CfLook {
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/// Differential style (only non-default parts apply).
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pub style: Option<Style>,
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/// Fill from a colour scale (RGB).
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pub scale_fill: Option<[u8; 3]>,
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/// Data bar: fraction 0..=1 of the cell width, colour, gradient.
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pub bar: Option<(f32, [u8; 3], bool)>,
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/// Icon: set name and index (0 = lowest).
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pub icon: Option<(String, usize)>,
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pub hide_value: bool,
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}
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/// Precomputed statistics per rule (min/max/percentiles/top-N thresholds/duplicates).
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#[derive(Default)]
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pub struct CfCache {
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stats: HashMap<usize, RuleStats>,
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}
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#[derive(Default, Clone)]
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struct RuleStats {
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sorted: Vec<f64>,
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avg: f64,
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std: f64,
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counts: HashMap<String, usize>,
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}
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/// Which statistics a rule reads. Scanning the rule's whole range for them costs O(range), so
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/// rules that read none (cell value, formula, text, blanks, errors, dates) never scan.
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#[derive(Clone, Copy, PartialEq, Eq, Debug)]
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enum StatsNeed {
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/// Sorted numbers, their mean and deviation (top/bottom N, above average, scales, bars, icons).
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Numbers,
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/// How often each displayed text occurs (duplicate / unique values).
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Counts,
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}
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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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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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_ => None,
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}
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}
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impl RuleStats {
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fn build(sh: &Sheet, ranges: &[RangeRef], need: StatsNeed) -> RuleStats {
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let (sorted, counts) = numbers_in(sh, ranges, need);
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let n = sorted.len().max(1) as f64;
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let avg = sorted.iter().sum::<f64>() / n;
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let std = (sorted.iter().map(|x| (x - avg).powi(2)).sum::<f64>() / n).sqrt();
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RuleStats { sorted, avg, std, counts }
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}
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}
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#[cfg(test)]
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thread_local! {
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/// Cells `numbers_in` visited on this thread (tests count the work a lookup does).
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static SCANNED: std::cell::Cell<usize> = const { std::cell::Cell::new(0) };
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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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for r in ranges {
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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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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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match need {
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StatsNeed::Numbers => {
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if let Value::Number(n) = v {
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nums.push(n);
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}
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}
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StatsNeed::Counts => {
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if !v.is_empty() {
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*counts.entry(v.display().to_lowercase()).or_insert(0) += 1;
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}
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}
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}
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}
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}
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nums.sort_by(|a, b| a.partial_cmp(b).unwrap_or(std::cmp::Ordering::Equal));
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(nums, counts)
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}
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fn percentile(sorted: &[f64], p: f64) -> f64 {
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if sorted.is_empty() {
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return 0.0;
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}
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let rank = (p / 100.0).clamp(0.0, 1.0) * (sorted.len() - 1) as f64;
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let lo = rank.floor() as usize;
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let hi = rank.ceil() as usize;
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let a = sorted.get(lo).copied().unwrap_or(0.0);
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let b = sorted.get(hi).copied().unwrap_or(a);
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a + (b - a) * (rank - lo as f64)
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}
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fn threshold(wb: &Workbook, sheet: usize, at: CellRef, st: &RuleStats, k: &CfValueKind) -> f64 {
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let min = st.sorted.first().copied().unwrap_or(0.0);
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let max = st.sorted.last().copied().unwrap_or(0.0);
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match k {
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CfValueKind::Min => min,
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CfValueKind::Max => max,
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CfValueKind::Number(n) => *n,
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CfValueKind::Percent(p) => min + (max - min) * p / 100.0,
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CfValueKind::Percentile(p) => percentile(&st.sorted, *p),
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CfValueKind::Formula(f) => gridcraft_calc::evaluate(wb, sheet, at, f).to_number().unwrap_or(0.0),
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}
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}
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fn lerp(a: [u8; 3], b: [u8; 3], t: f64) -> [u8; 3] {
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let t = t.clamp(0.0, 1.0);
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[
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(a[0] as f64 + (b[0] as f64 - a[0] as f64) * t).round() as u8,
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(a[1] as f64 + (b[1] as f64 - a[1] as f64) * t).round() as u8,
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(a[2] as f64 + (b[2] as f64 - a[2] as f64) * t).round() as u8,
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]
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}
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pub use gridcraft_model::icon_count;
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impl CfCache {
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pub fn new() -> Self {
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Self::default()
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}
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/// Conditional look of `c`, or `None` when no rule applies.
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pub fn look(&mut self, wb: &Workbook, sheet: usize, c: CellRef) -> Option<CfLook> {
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let sh = wb.sheet(sheet)?;
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if sh.cond_formats.is_empty() {
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return None;
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}
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let mut out = CfLook::default();
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let mut any = false;
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let mut rules: Vec<(usize, &CondFormat)> =
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sh.cond_formats.iter().enumerate().filter(|(_, cf)| cf.ranges.iter().any(|r| r.contains(c))).collect();
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rules.sort_by_key(|(_, cf)| cf.priority);
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let v = sh.value(c);
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let no_stats = RuleStats::default();
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for (idx, cf) in rules {
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let first = cf.ranges.first().map(|r| r.start).unwrap_or(c);
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let st: &RuleStats = match stats_need(&cf.rule) {
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Some(need) => &*self.stats.entry(idx).or_insert_with(|| RuleStats::build(sh, &cf.ranges, need)),
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None => &no_stats,
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};
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let text = v.display();
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let matched_style: Option<&Style> = match &cf.rule {
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CfRule::CellIs { op, a, b, style } => {
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let eval = |f: &str| gridcraft_calc::evaluate(wb, sheet, c, &relative(f, first, c));
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let av = eval(a);
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let ok = match op {
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CfOperator::Between | CfOperator::NotBetween => {
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let bv = b.as_deref().map(eval).unwrap_or_default();
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let (lo, hi) = if compare(&av, &bv) == std::cmp::Ordering::Greater { (bv, av) } else { (av, bv) };
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let inside = compare(&v, &lo) != std::cmp::Ordering::Less && compare(&v, &hi) != std::cmp::Ordering::Greater;
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if *op == CfOperator::Between { inside } else { !inside }
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}
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CfOperator::Equal => compare(&v, &av) == std::cmp::Ordering::Equal,
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CfOperator::NotEqual => compare(&v, &av) != std::cmp::Ordering::Equal,
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CfOperator::Greater => compare(&v, &av) == std::cmp::Ordering::Greater,
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CfOperator::Less => compare(&v, &av) == std::cmp::Ordering::Less,
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CfOperator::GreaterOrEqual => compare(&v, &av) != std::cmp::Ordering::Less,
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CfOperator::LessOrEqual => compare(&v, &av) != std::cmp::Ordering::Greater,
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};
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// As in Excel, a blank cell compares as 0 (or ""), and an error never matches.
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(ok && !v.is_error()).then_some(style.as_ref())
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}
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CfRule::Expression { formula, style } => {
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gridcraft_calc::evaluate(wb, sheet, c, &relative(formula, first, c)).to_bool().unwrap_or(false).then_some(style.as_ref())
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}
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CfRule::ContainsText { text: t, style } => text.to_lowercase().contains(&t.to_lowercase()).then_some(style.as_ref()),
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CfRule::NotContainsText { text: t, style } => (!text.to_lowercase().contains(&t.to_lowercase())).then_some(style.as_ref()),
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CfRule::BeginsWith { text: t, style } => text.to_lowercase().starts_with(&t.to_lowercase()).then_some(style.as_ref()),
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CfRule::EndsWith { text: t, style } => text.to_lowercase().ends_with(&t.to_lowercase()).then_some(style.as_ref()),
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CfRule::Blanks { style } => (v.is_empty() || text.trim().is_empty()).then_some(style.as_ref()),
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CfRule::NoBlanks { style } => (!v.is_empty() && !text.trim().is_empty()).then_some(style.as_ref()),
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CfRule::Errors { style } => v.is_error().then_some(style.as_ref()),
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CfRule::NoErrors { style } => (!v.is_error()).then_some(style.as_ref()),
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CfRule::Duplicate { style } => {
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(!v.is_empty() && st.counts.get(&text.to_lowercase()).copied().unwrap_or(0) > 1).then_some(style.as_ref())
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}
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CfRule::Unique { style } => {
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(!v.is_empty() && st.counts.get(&text.to_lowercase()).copied().unwrap_or(0) == 1).then_some(style.as_ref())
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}
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CfRule::Top10 { bottom, percent, rank, style } => match v.as_f64() {
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Some(n) if !st.sorted.is_empty() => {
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let k = if *percent { ((st.sorted.len() as f64) * (*rank as f64) / 100.0).floor().max(1.0) as usize } else { *rank as usize };
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let k = k.clamp(1, st.sorted.len());
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let ok = if *bottom {
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n <= st.sorted.get(k - 1).copied().unwrap_or(n)
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} else {
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n >= st.sorted.get(st.sorted.len() - k).copied().unwrap_or(n)
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};
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ok.then_some(style.as_ref())
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}
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_ => None,
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},
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CfRule::AboveAverage { below, equal, std_dev, style } => match v.as_f64() {
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Some(n) => {
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let thr = st.avg + if *below { -1.0 } else { 1.0 } * st.std * *std_dev as f64;
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let ok = if *below { n < thr || (*equal && n == thr) } else { n > thr || (*equal && n == thr) };
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ok.then_some(style.as_ref())
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}
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None => None,
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},
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CfRule::TimePeriod { period, style } => match v.as_f64() {
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Some(n) => {
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let today = gridcraft_core::date::serial_in_system(wb.date_system, gridcraft_calc::now_serial()).floor();
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let d = n.floor();
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let wd = gridcraft_core::date::datetime_from_serial(wb.date_system, today).map(|x| x.weekday as f64).unwrap_or(0.0);
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let week_start = today - wd;
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let (ty, tm) =
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gridcraft_core::date::datetime_from_serial(wb.date_system, today).map(|x| (x.year, x.month)).unwrap_or((2026, 1));
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let ym = gridcraft_core::date::datetime_from_serial(wb.date_system, d).map(|x| (x.year, x.month));
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let month_off = |k: i32| {
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let m = tm as i32 + k;
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let y = ty + (m - 1).div_euclid(12);
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let m = (m - 1).rem_euclid(12) + 1;
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ym == Some((y, m as u32))
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};
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let ok = match period.as_str() {
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"yesterday" => d == today - 1.0,
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"today" => d == today,
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"tomorrow" => d == today + 1.0,
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"last7Days" => d > today - 7.0 && d <= today,
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"lastWeek" => d >= week_start - 7.0 && d < week_start,
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"thisWeek" => d >= week_start && d < week_start + 7.0,
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"nextWeek" => d >= week_start + 7.0 && d < week_start + 14.0,
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"lastMonth" => month_off(-1),
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"thisMonth" => month_off(0),
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"nextMonth" => month_off(1),
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_ => false,
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};
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ok.then_some(style.as_ref())
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}
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None => None,
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},
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CfRule::ColorScale { stops } => {
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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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.collect();
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let rgb = match pts.as_slice() {
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[(a, ca), (b, cb)] => lerp(*ca, *cb, if b > a { (n - a) / (b - a) } else { 0.0 }),
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[(a, ca), (m, cm), (b, cb)] => {
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if n <= *m {
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lerp(*ca, *cm, if m > a { (n - a) / (m - a) } else { 0.0 })
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} else {
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lerp(*cm, *cb, if b > m { (n - m) / (b - m) } else { 1.0 })
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}
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}
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_ => [255, 255, 255],
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};
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if out.scale_fill.is_none() {
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out.scale_fill = Some(rgb);
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any = true;
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}
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}
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None
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}
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CfRule::DataBar { min, max, color, gradient, show_value } => {
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if let Some(n) = v.as_f64() {
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let lo = threshold(wb, sheet, c, st, min);
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let hi = threshold(wb, sheet, c, st, max);
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let lo = if lo > 0.0 { 0.0 } else { lo };
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let frac = if hi > lo { ((n - lo) / (hi - lo)).clamp(0.0, 1.0) } else { 1.0 };
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if out.bar.is_none() {
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out.bar = Some((
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(frac as f32) * 0.9 + 0.1 * (frac > 0.0) as u8 as f32,
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color.resolve(&wb.theme).unwrap_or([0x63, 0x8E, 0xC6]),
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*gradient,
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));
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out.hide_value |= !show_value;
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any = true;
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}
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}
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None
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}
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CfRule::IconSet { set, thresholds, reverse, show_value } => {
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if let Some(n) = v.as_f64() {
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let k = icon_count(set);
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// One threshold per icon, the first being the lower bound (as in the file);
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// also accept the lower bound left out, else Excel's defaults.
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let defaults;
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let lower = match thresholds.len() {
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n if n == k => thresholds.get(1..).unwrap_or_default(),
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n if n + 1 == k => thresholds.as_slice(),
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_ => {
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defaults = default_icon_thresholds(set);
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defaults.get(1..).unwrap_or_default()
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}
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};
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let cuts: Vec<f64> = lower.iter().map(|t| threshold(wb, sheet, c, st, t)).collect();
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let mut idx = cuts.iter().filter(|cut| n >= **cut).count();
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if *reverse {
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idx = k - 1 - idx.min(k - 1);
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}
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if out.icon.is_none() {
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out.icon = Some((set.clone(), idx.min(k - 1)));
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out.hide_value |= !show_value;
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any = true;
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}
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}
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None
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}
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};
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if let Some(st) = matched_style {
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any = true;
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// Every matching rule applies; where two set the same part, the rule with the
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// higher priority (seen first) wins.
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match &mut out.style {
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None => out.style = Some(st.clone()),
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Some(prev) => layer_under(prev, st),
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}
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if cf.stop_if_true {
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break;
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}
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}
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}
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any.then_some(out)
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}
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}
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/// Adds the parts `lower` sets that `style` leaves unset (differential styles: default parts
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/// are unset).
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fn layer_under(style: &mut Style, lower: &Style) {
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if style.fill.pattern == PatternType::None {
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style.fill = lower.fill;
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}
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if style.font.color == Color::Auto {
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style.font.color = lower.font.color;
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}
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style.font.bold |= lower.font.bold;
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style.font.italic |= lower.font.italic;
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style.font.strike |= lower.font.strike;
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if style.font.underline == Underline::None {
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style.font.underline = lower.font.underline;
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}
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let b = &mut style.borders;
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for (dst, src) in [
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(&mut b.left, lower.borders.left),
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(&mut b.right, lower.borders.right),
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(&mut b.top, lower.borders.top),
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(&mut b.bottom, lower.borders.bottom),
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(&mut b.diag_down, lower.borders.diag_down),
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(&mut b.diag_up, lower.borders.diag_up),
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] {
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if dst.is_none() {
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*dst = src;
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}
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}
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if style.num_fmt.as_str() == "General" {
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style.num_fmt = lower.num_fmt.clone();
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}
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}
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/// Shifts a rule formula written for the top-left cell of the range to `c`.
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fn relative(f: &str, first: CellRef, c: CellRef) -> String {
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if first == c {
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return f.to_string();
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}
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match gridcraft_formula::parse(f.trim_start_matches('=')) {
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Ok(e) => {
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gridcraft_formula::print(&gridcraft_formula::adjust::shift_relative(e, c.row as i64 - first.row as i64, c.col as i64 - first.col as i64))
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}
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Err(_) => f.to_string(),
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}
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}
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#[cfg(test)]
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mod tests {
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use serde_json::json;
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use super::*;
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#[test]
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fn every_matching_rule_applies() {
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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": [[200], [400], [510]]})).unwrap();
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let rule = |op: &str, value: &str, preset: &str| json!({"range": "A1:A3", "rule": {"type": "cellIs", "operator": op, "value": value, "preset": preset}});
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s.execute("home.conditionalFormat", rule("greaterThan", "300", "lightRedFill")).unwrap();
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s.execute("home.conditionalFormat", rule("greaterThan", "500", "redBorder")).unwrap();
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let d = s.doc().unwrap();
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let mut cache = CfCache::new();
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let mut look = |a: &str| cache.look(&d.wb, 0, CellRef::parse(a).unwrap()).and_then(|l| l.style);
|
|
assert!(look("A1").is_none());
|
|
let only_fill = look("A2").unwrap();
|
|
assert_eq!(only_fill.fill.pattern, PatternType::Solid);
|
|
assert!(only_fill.borders.top.is_none());
|
|
let both = look("A3").unwrap();
|
|
assert_eq!(both.fill, only_fill.fill);
|
|
assert!(!both.borders.top.is_none());
|
|
}
|
|
|
|
#[test]
|
|
fn cell_value_rules_on_blanks_and_errors() {
|
|
let mut s = crate::Session::new();
|
|
s.new_workbook();
|
|
s.execute("range.setValues", json!({"range": "A1", "values": [[3, "=NA()"], [null, 7], ["=NA()", null], [" ", null], [7, null]]})).unwrap();
|
|
let rule = |range: &str, r: serde_json::Value| json!({"range": range, "rule": r});
|
|
s.execute("home.conditionalFormat", rule("A1:A5", json!({"type": "cellIs", "operator": "less", "value": "5", "preset": "lightRedFill"})))
|
|
.unwrap();
|
|
s.execute("home.conditionalFormat", rule("A1:A5", json!({"type": "noBlanks", "preset": "redBorder"}))).unwrap();
|
|
s.execute("home.conditionalFormat", rule("B1:B2", json!({"type": "cellIs", "operator": "greater", "value": "5", "preset": "lightRedFill"})))
|
|
.unwrap();
|
|
let d = s.doc().unwrap();
|
|
let mut cache = CfCache::new();
|
|
let mut look = |a: &str| cache.look(&d.wb, 0, CellRef::parse(a).unwrap()).and_then(|l| l.style);
|
|
let fill = |st: Option<Style>| st.is_some_and(|st| st.fill.pattern == PatternType::Solid);
|
|
let border = |st: Option<Style>| st.is_some_and(|st| !st.borders.top.is_none());
|
|
// Less than 5: 3 and the blank cell (as 0), not #N/A.
|
|
assert_eq!([look("A1"), look("A2"), look("A3"), look("A5")].map(fill), [true, true, false, false]);
|
|
// Greater than 5: 7, not #N/A.
|
|
assert_eq!([look("B1"), look("B2")].map(fill), [false, true]);
|
|
// No blanks: neither the empty cell nor the one holding a space.
|
|
assert_eq!([look("A1"), look("A2"), look("A4")].map(border), [true, false, false]);
|
|
}
|
|
|
|
/// The statistics as every rule used to get them: one pass collecting both parts.
|
|
fn all_stats_before(sh: &Sheet, ranges: &[RangeRef]) -> RuleStats {
|
|
let mut nums = Vec::new();
|
|
let mut counts = HashMap::new();
|
|
for r in ranges {
|
|
let Some(r) = sh.used_range().and_then(|u| r.intersection(&u)) else { continue };
|
|
for c in r.iter() {
|
|
let v = sh.value(c);
|
|
if let Value::Number(n) = v {
|
|
nums.push(n);
|
|
}
|
|
if !v.is_empty() {
|
|
*counts.entry(v.display().to_lowercase()).or_insert(0) += 1;
|
|
}
|
|
}
|
|
}
|
|
nums.sort_by(|a, b| a.partial_cmp(b).unwrap_or(std::cmp::Ordering::Equal));
|
|
let n = nums.len().max(1) as f64;
|
|
let avg = nums.iter().sum::<f64>() / n;
|
|
let std = (nums.iter().map(|x| (x - avg).powi(2)).sum::<f64>() / n).sqrt();
|
|
RuleStats { sorted: nums, avg, std, counts }
|
|
}
|
|
|
|
#[test]
|
|
fn needed_statistics_equal_the_full_ones() {
|
|
let mut s = crate::Session::new();
|
|
s.new_workbook();
|
|
s.execute("range.setValues", json!({"range": "A1", "values": [[3, "x"], [7, "X"], [3, null], ["=NA()", 2.5], [" ", 9], [-1, "y"]]})).unwrap();
|
|
let d = s.doc().unwrap();
|
|
let sh = d.wb.sheet(0).unwrap();
|
|
for ranges in ["A1:B6", "A1:A3", "B2:B9", "D1:E4", "A1:A2"].map(|r| vec![RangeRef::parse(r).unwrap()]) {
|
|
let full = all_stats_before(sh, &ranges);
|
|
let numbers = RuleStats::build(sh, &ranges, StatsNeed::Numbers);
|
|
assert_eq!((numbers.sorted, numbers.avg.to_bits(), numbers.std.to_bits()), (full.sorted, full.avg.to_bits(), full.std.to_bits()));
|
|
assert_eq!(RuleStats::build(sh, &ranges, StatsNeed::Counts).counts, full.counts);
|
|
}
|
|
}
|
|
|
|
#[test]
|
|
fn rules_that_read_statistics_still_match() {
|
|
let mut s = crate::Session::new();
|
|
s.new_workbook();
|
|
s.execute("range.setValues", json!({"range": "A1", "values": [[1, "a"], [2, "A"], [3, "b"], [10, "c"], [2, null]]})).unwrap();
|
|
let rule = |range: &str, r: serde_json::Value| json!({"range": range, "rule": r});
|
|
s.execute("home.conditionalFormat", rule("B1:B5", json!({"type": "duplicate", "preset": "lightRedFill"}))).unwrap();
|
|
s.execute("home.conditionalFormat", rule("A1:A5", json!({"type": "top10", "rank": 1, "preset": "redBorder"}))).unwrap();
|
|
s.execute("home.conditionalFormat", rule("A1:A5", json!({"type": "colorScale"}))).unwrap();
|
|
let d = s.doc().unwrap();
|
|
let mut cache = CfCache::new();
|
|
let mut look = |a: &str| cache.look(&d.wb, 0, CellRef::parse(a).unwrap());
|
|
let fill = |l: Option<CfLook>| l.and_then(|l| l.style).is_some_and(|st| st.fill.pattern == PatternType::Solid);
|
|
// Duplicates are case-insensitive texts: "a" and "A".
|
|
assert_eq!(["B1", "B2", "B3", "B4", "B5"].map(|a| fill(look(a))), [true, true, false, false, false]);
|
|
// The top value gets the border, the scale runs from the minimum to the maximum.
|
|
assert!(look("A4").and_then(|l| l.style).is_some_and(|st| !st.borders.top.is_none()));
|
|
assert!(look("A1").and_then(|l| l.style).is_none_or(|st| st.borders.top.is_none()));
|
|
assert_eq!(look("A1").and_then(|l| l.scale_fill), Some([0xF8, 0x69, 0x6B]));
|
|
assert_eq!(look("A4").and_then(|l| l.scale_fill), Some([0x63, 0xBE, 0x7B]));
|
|
}
|
|
|
|
/// Looking cells up does work in proportion to the cells asked for, not the rule's range: the
|
|
/// statistics are only gathered for rules that read them, and once per rule.
|
|
#[test]
|
|
fn lookups_do_not_scan_the_range_for_rules_without_statistics() {
|
|
let mut s = crate::Session::new();
|
|
s.new_workbook();
|
|
let rows: Vec<serde_json::Value> = (1..=10_000).map(|i| json!([i, i % 7])).collect();
|
|
s.execute("range.setValues", json!({"range": "A1", "values": rows})).unwrap();
|
|
s.execute(
|
|
"home.conditionalFormat",
|
|
json!({"range": "A1:B10000", "rule": {"type": "expression", "formula": "=MOD(ROW(),2)=0", "preset": "lightRedFill"}}),
|
|
)
|
|
.unwrap();
|
|
s.execute(
|
|
"home.conditionalFormat",
|
|
json!({"range": "A1:B10000", "rule": {"type": "cellIs", "operator": "greater", "value": "5", "preset": "redBorder"}}),
|
|
)
|
|
.unwrap();
|
|
s.execute("home.conditionalFormat", json!({"range": "A1:B10000", "rule": {"type": "noBlanks", "preset": "redBorder"}})).unwrap();
|
|
let d = s.doc().unwrap();
|
|
let mut cache = CfCache::new();
|
|
SCANNED.with(|n| n.set(0));
|
|
for r in 1..=50 {
|
|
for col in ["A", "B"] {
|
|
cache.look(&d.wb, 0, CellRef::parse(&format!("{col}{r}")).unwrap());
|
|
}
|
|
}
|
|
assert_eq!(SCANNED.with(|n| n.get()), 0);
|
|
// A rule that does read them scans its range once, however many cells are looked up.
|
|
s.execute("home.conditionalFormat", json!({"range": "A1:A10000", "rule": {"type": "top10", "preset": "redBorder"}})).unwrap();
|
|
let d = s.doc().unwrap();
|
|
let mut cache = CfCache::new();
|
|
SCANNED.with(|n| n.set(0));
|
|
for r in 1..=50 {
|
|
cache.look(&d.wb, 0, CellRef::parse(&format!("A{r}")).unwrap());
|
|
}
|
|
assert_eq!(SCANNED.with(|n| n.get()), 10_000);
|
|
}
|
|
|
|
#[test]
|
|
fn cell_value_operator_names() {
|
|
let mut s = crate::Session::new();
|
|
s.new_workbook();
|
|
s.execute("range.setValues", json!({"range": "A1", "values": [[3], [7]]})).unwrap();
|
|
let rule = |op: &str| json!({"range": "A1:A2", "rule": {"type": "cellIs", "operator": op, "value": "5", "preset": "lightRedFill"}});
|
|
s.execute("home.conditionalFormat", rule("lessThan")).unwrap();
|
|
assert!(s.execute("home.conditionalFormat", rule("smaller")).is_err());
|
|
let d = s.doc().unwrap();
|
|
let mut cache = CfCache::new();
|
|
let mut look = |a: &str| cache.look(&d.wb, 0, CellRef::parse(a).unwrap()).and_then(|l| l.style).is_some();
|
|
assert_eq!([look("A1"), look("A2")], [true, false]);
|
|
}
|
|
}
|