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deckcraft/crates/model/src/chart.rs
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Brandon ThomasandClaude Opus 5.5 6078b68e97 M0: workspace, model, geometry, fonts, text, renderer, engine, MCP and CLI
Clean-room PowerPoint-class presentation engine in pure Rust:
- geom: units, transforms and 150+ re-derived preset shapes with adjust handles
- color: theme slots and colour transforms
- model: presentations, masters, 11 layouts, placeholder inheritance, themes,
  text, tables, charts, transitions, animations, text edit operations
- fonts: font DB with craft-fonts, system fonts and open substitutes
- text: shaping, line breaking, bullets/numbering, alignment, autofit, caret hit tests
- render: vello_cpu slides with fills, gradients, pictures, effects, tables, charts
- format: native .slidecraft (zip + JSON)
- engine: ~200 commands, undo/redo, clipboard, pointer tools, keys, sample deck
- mcp: MCP server (headless or bridged to the app); slidecraft-cli

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
2026-10-05 23:27:20 -04:00

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//! Charts: an embedded data grid plus type and element options.
use serde::{Deserialize, Serialize};
use crate::style::{ColorRef, Fill, Line};
#[derive(Clone, Copy, Debug, Default, PartialEq, Eq, Serialize, Deserialize)]
#[serde(rename_all = "camelCase")]
pub enum ChartType {
#[default]
Column,
StackedColumn,
PercentColumn,
Bar,
StackedBar,
PercentBar,
Line,
LineMarkers,
StackedLine,
Area,
StackedArea,
Pie,
Doughnut,
Scatter,
Bubble,
Radar,
FilledRadar,
Stock,
Surface,
Histogram,
Pareto,
BoxWhisker,
Waterfall,
Funnel,
Treemap,
Sunburst,
Combo,
}
impl ChartType {
pub const MAIN: [ChartType; 12] = [
ChartType::Column,
ChartType::Bar,
ChartType::Line,
ChartType::Area,
ChartType::Pie,
ChartType::Doughnut,
ChartType::Scatter,
ChartType::Radar,
ChartType::Waterfall,
ChartType::Funnel,
ChartType::Histogram,
ChartType::Treemap,
];
pub fn label(self) -> &'static str {
match self {
ChartType::Column => "Clustered Column",
ChartType::StackedColumn => "Stacked Column",
ChartType::PercentColumn => "100% Stacked Column",
ChartType::Bar => "Clustered Bar",
ChartType::StackedBar => "Stacked Bar",
ChartType::PercentBar => "100% Stacked Bar",
ChartType::Line => "Line",
ChartType::LineMarkers => "Line with Markers",
ChartType::StackedLine => "Stacked Line",
ChartType::Area => "Area",
ChartType::StackedArea => "Stacked Area",
ChartType::Pie => "Pie",
ChartType::Doughnut => "Doughnut",
ChartType::Scatter => "Scatter",
ChartType::Bubble => "Bubble",
ChartType::Radar => "Radar",
ChartType::FilledRadar => "Filled Radar",
ChartType::Stock => "Stock",
ChartType::Surface => "Surface",
ChartType::Histogram => "Histogram",
ChartType::Pareto => "Pareto",
ChartType::BoxWhisker => "Box and Whisker",
ChartType::Waterfall => "Waterfall",
ChartType::Funnel => "Funnel",
ChartType::Treemap => "Treemap",
ChartType::Sunburst => "Sunburst",
ChartType::Combo => "Combo",
}
}
pub fn is_bar_like(self) -> bool {
matches!(
self,
ChartType::Column
| ChartType::StackedColumn
| ChartType::PercentColumn
| ChartType::Bar
| ChartType::StackedBar
| ChartType::PercentBar
| ChartType::Histogram
| ChartType::Pareto
| ChartType::Waterfall
)
}
pub fn horizontal(self) -> bool {
matches!(self, ChartType::Bar | ChartType::StackedBar | ChartType::PercentBar | ChartType::Funnel)
}
pub fn stacked(self) -> bool {
matches!(
self,
ChartType::StackedColumn
| ChartType::StackedBar
| ChartType::StackedLine
| ChartType::StackedArea
| ChartType::PercentColumn
| ChartType::PercentBar
)
}
pub fn percent(self) -> bool {
matches!(self, ChartType::PercentColumn | ChartType::PercentBar)
}
}
#[derive(Clone, Debug, Default, PartialEq, Serialize, Deserialize)]
#[serde(default, rename_all = "camelCase")]
pub struct Series {
pub name: String,
pub values: Vec<Option<f64>>,
/// X values for scatter/bubble.
pub x_values: Vec<Option<f64>>,
pub sizes: Vec<Option<f64>>,
pub fill: Option<Fill>,
pub line: Option<Line>,
/// Per-point fill overrides (pie slices).
pub point_fills: Vec<(usize, Fill)>,
pub data_labels: Option<bool>,
pub smooth: bool,
pub marker: Option<String>,
/// Combo charts: this series' own type.
pub kind: Option<ChartType>,
pub secondary_axis: bool,
}
#[derive(Clone, Debug, PartialEq, Serialize, Deserialize)]
#[serde(default, rename_all = "camelCase")]
pub struct Chart {
pub kind: ChartType,
pub title: Option<String>,
pub categories: Vec<String>,
pub series: Vec<Series>,
pub legend: Option<String>,
pub data_labels: bool,
pub gridlines: bool,
pub axis_titles: (Option<String>, Option<String>),
/// Chart style number (1–48) and colour palette (`colorful1`, `monochrome3`…).
pub style: u32,
pub palette: String,
pub plot_fill: Option<Fill>,
pub chart_fill: Option<Fill>,
pub text_color: Option<ColorRef>,
pub hole_size: f64,
pub gap_width: f64,
pub overlap: f64,
pub vary_colors: bool,
pub y_min: Option<f64>,
pub y_max: Option<f64>,
/// Original chart XML part kept for round-trip of unmodelled options.
#[serde(skip_serializing_if = "Option::is_none")]
pub raw: Option<String>,
}
impl Default for Chart {
fn default() -> Self {
Chart {
kind: ChartType::Column,
title: Some("Chart Title".into()),
categories: vec![],
series: vec![],
legend: Some("b".into()),
data_labels: false,
gridlines: true,
axis_titles: (None, None),
style: 2,
palette: "colorful1".into(),
plot_fill: None,
chart_fill: None,
text_color: None,
hole_size: 0.5,
gap_width: 2.19,
overlap: -0.27,
vary_colors: false,
y_min: None,
y_max: None,
raw: None,
}
}
}
impl Chart {
/// The sample data a new chart starts with (our own numbers).
pub fn sample(kind: ChartType) -> Self {
let cats = ["Q1", "Q2", "Q3", "Q4"];
let data = [[4.2, 2.6, 2.1], [2.8, 4.1, 2.4], [3.6, 1.9, 3.3], [4.7, 3.0, 5.1]];
let mut c = Chart { kind, categories: cats.iter().map(|s| s.to_string()).collect(), ..Default::default() };
let n_series =
if matches!(kind, ChartType::Pie | ChartType::Doughnut | ChartType::Funnel | ChartType::Waterfall | ChartType::Treemap) { 1 } else { 3 };
for s in 0..n_series {
c.series.push(Series {
name: format!("Series {}", s + 1),
values: data.iter().map(|row| row.get(s).copied()).collect(),
x_values: if kind == ChartType::Scatter { (1..=4).map(|x| Some(x as f64)).collect() } else { vec![] },
..Default::default()
});
}
c.vary_colors = n_series == 1;
c
}
/// Value range across series (stacked sums for stacked types).
pub fn value_range(&self) -> (f64, f64) {
let mut lo: f64 = 0.0;
let mut hi: f64 = 0.0;
let n = self.categories.len().max(self.series.iter().map(|s| s.values.len()).max().unwrap_or(0));
if self.kind.stacked() {
for i in 0..n {
let (mut p, mut m) = (0.0, 0.0);
for s in &self.series {
let v = s.values.get(i).copied().flatten().unwrap_or(0.0);
if v >= 0.0 { p += v } else { m += v }
}
hi = hi.max(p);
lo = lo.min(m);
}
} else {
for s in &self.series {
for v in s.values.iter().flatten() {
if v.is_finite() {
hi = hi.max(*v);
lo = lo.min(*v);
}
}
}
}
if self.kind.percent() {
return (0.0, 1.0);
}
(self.y_min.unwrap_or(lo), self.y_max.unwrap_or(hi))
}
}
/// "Nice" axis scale: (min, max, major step) covering [lo, hi].
pub fn nice_scale(lo: f64, hi: f64) -> (f64, f64, f64) {
let (lo, hi) = if lo.is_finite() && hi.is_finite() { (lo.min(hi), lo.max(hi)) } else { (0.0, 1.0) };
let span = if hi - lo < 1e-12 { hi.abs().max(1.0) } else { hi - lo };
let raw = span / 5.0;
let mag = 10f64.powf(raw.log10().floor());
let norm = raw / mag;
let step = if norm <= 1.0 {
1.0
} else if norm <= 2.0 {
2.0
} else if norm <= 2.5 {
2.5
} else if norm <= 5.0 {
5.0
} else {
10.0
} * mag;
let min = (lo / step).floor() * step;
let max = (hi / step).ceil() * step;
let max = if (max - min).abs() < 1e-12 { min + step } else { max };
(min, max, step)
}
#[cfg(test)]
mod tests {
use super::*;
#[test]
fn nice_scale_covers() {
let (a, b, s) = nice_scale(0.0, 5.1);
assert!(a <= 0.0 && b >= 5.1 && s > 0.0);
let (a, b, _) = nice_scale(f64::NAN, 3.0);
assert!(a.is_finite() && b.is_finite());
let (a, b, _) = nice_scale(7.0, 7.0);
assert!(b > a);
}
#[test]
fn sample_ranges() {
let c = Chart::sample(ChartType::StackedColumn);
let (_, hi) = c.value_range();
assert!(hi > 10.0);
assert_eq!(Chart::sample(ChartType::Pie).series.len(), 1);
}
}