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af3bc6f796
## What changed Add daily stacked bar rendering in the TUI analytics module, staged for dashboard integration. - Plot three categories plus an Other remainder without renormalizing values, with separate positive and negative bands for signed credits. - Add readable numeric axes, calendar ticks, a selection cursor, and a callout showing the authoritative daily total. Distinguish missing days from zero usage. - Keep the selection visible in narrow viewports and omit labels that cannot fit without truncation. - Use terminal palette colors for series and adapt secondary text to terminal color support and background. ## Testing Add unit and snapshot coverage for axis scaling, signed bars on light and dark terminals, missing and zero values, narrow layouts, tiny segments, authoritative totals, and duplicate-date remainders. GitOrigin-RevId: 2ed58def17abd14e77929016a54fd20e91d45670
56 lines
1.5 KiB
Rust
56 lines
1.5 KiB
Rust
//! Calendar viewport and shared coordinates for bars, axes, and annotations.
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use super::painting::Band;
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#[derive(Clone, Copy)]
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pub(super) struct Layout {
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pub(super) width: usize,
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pub(super) height: usize,
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pub(super) axis_width: usize,
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pub(super) plot_width: usize,
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pub(super) count: usize,
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pub(super) start: usize,
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pub(super) baseline: usize,
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pub(super) marker_row: usize,
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}
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impl Layout {
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pub(super) fn new(
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day_count: usize,
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cursor: usize,
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width: usize,
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height: usize,
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label_width: usize,
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bands: &[Band],
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) -> Self {
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// Hide the axis when a complete label would crowd out the bars.
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let axis_width = if width >= 30 && label_width <= width / 3 {
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label_width
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} else {
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0
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};
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let plot_width = width - axis_width;
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let count = day_count.min(plot_width);
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let start = cursor.saturating_sub(count - 1).min(day_count - count);
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let baseline = height + 1;
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let marker_row = baseline + if bands.len() == 2 { height + 2 } else { 1 };
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Self {
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width,
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height,
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axis_width,
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plot_width,
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count,
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start,
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baseline,
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marker_row,
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}
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}
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pub(super) fn center(self, index: usize) -> usize {
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self.axis_width
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+ (index * self.plot_width / self.count + (index + 1) * self.plot_width / self.count
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- 1)
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/ 2
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}
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}
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