Move code around

.github/workflows/CI.yml

@@ -7,9 +7,6 @@ name: CI
 
 on:
   push:
-    branches:
-      - main
-      - master
     tags:
       - '*'
   pull_request:

cmdapp/Cargo.toml

@@ -1,7 +1,7 @@
 [package]
 name = "vtracer"
 version = "0.6.3"
-authors = ["Chris Tsang <tyt2y7@gmail.com>"]
+authors = ["Chris Tsang <chris.2y3@outlook.com>"]
 edition = "2021"
 description = "A cmd app to convert images into vector graphics."
 license = "MIT OR Apache-2.0"
@@ -15,13 +15,7 @@ clap = "2.33.3"
 image = "0.23.10"
 visioncortex = { version = "0.8.0" }
 fastrand = "1.8"
-pyo3 = "0.19.0"
+pyo3 = { version = "0.19.0", optional = true }
 
-[lib]
-name = "vtracer"
-crate-type = ["cdylib"]
-path = "src/lib.rs"
-
-[[bin]]
-name = "vtracer"
-path = "src/main.rs"
+[features]
+python-binding = ["pyo3"]

cmdapp/pyproject.toml

@@ -2,8 +2,8 @@
 name = "vtracer"
 version = "0.6.3"
 description = "Python bindings for the Rust Vtracer raster-to-vector library"
-authors = [ { name = "Chris Tsang",  email = "tyt2y7@gmail.com" } ]
-readme = "vtracer/README_PY.md"
+authors = [ { name = "Chris Tsang",  email = "chris.2y3@outlook.com" } ]
+readme = "vtracer/README.md"
 requires-python = ">=3.7"
 license = "MIT"
 classifiers = [
@@ -25,4 +25,4 @@ build-backend = "maturin"
 [tool.maturin]
 features = ["pyo3/extension-module"]
 compatibility = "linux"
-sdist-include = ["../LICENSE", "../README_PY.md"]
+sdist-include = ["../LICENSE", "../README.md"]

cmdapp/src/converter.rs

@@ -1,9 +1,8 @@
 use std::path::PathBuf;
 use std::{fs::File, io::Write};
-use pyo3::prelude::*;
 
 use fastrand::Rng;
-use visioncortex::{Color, ColorImage, ColorName, PathSimplifyMode};
+use visioncortex::{Color, ColorImage, ColorName};
 use visioncortex::color_clusters::{Runner, RunnerConfig, KeyingAction, HIERARCHICAL_MAX};
 use super::config::{Config, ColorMode, Hierarchical, ConverterConfig};
 use super::svg::SvgFile;
@@ -225,84 +224,5 @@ fn write_svg(svg: SvgFile, output_path: PathBuf) -> Result<(), String> {
 
     write!(&mut out_file, "{}", svg).expect("failed to write file.");
 
-    Ok(())
-}
-
-// ==================
-// = PYTHON BINDING =
-// ==================
-#[pyfunction]
-fn convert_image_to_svg_py( image_path: &str, 
-                            out_path: &str,   
-                            colormode: Option<&str>,       // "color" or "binary"
-                            hierarchical: Option<&str>,    // "stacked" or "cutout"
-                            mode: Option<&str>,            // "polygon", "spline", "none"
-                            filter_speckle: Option<usize>, // default: 4
-                            color_precision: Option<i32>,  // default: 6
-                            layer_difference: Option<i32>, // default: 16
-                            corner_threshold: Option<i32>, // default: 60   
-                            length_threshold: Option<f64>, // in [3.5, 10] default: 4.0
-                            max_iterations: Option<usize>, // default: 10
-                            splice_threshold: Option<i32>, // default: 45
-                            path_precision: Option<u32>    // default: 8
-                        ) -> PyResult<()> {
-    let input_path = PathBuf::from(image_path);
-    let output_path = PathBuf::from(out_path);
-
-    // TODO: enforce color mode with an enum so that we only 
-    // accept the strings 'color' or 'binary'
-    let color_mode = match colormode.unwrap_or("color") {
-        "color" => ColorMode::Color,
-        "binary" => ColorMode::Binary,
-        _ => ColorMode::Color,
-    };
-
-    let hierarchical = match hierarchical.unwrap_or("stacked") {
-        "stacked" => Hierarchical::Stacked,
-        "cutout" => Hierarchical::Cutout,
-        _ => Hierarchical::Stacked,
-    };
-    
-    let mode = match mode.unwrap_or("spline") {
-        "spline" => PathSimplifyMode::Spline,
-        "polygon" => PathSimplifyMode::Polygon,
-        "none" => PathSimplifyMode::None,
-        _ => PathSimplifyMode::Spline,
-    };
-
-    let filter_speckle =    filter_speckle.unwrap_or(4);
-    let color_precision =   color_precision.unwrap_or(6);
-    let layer_difference =  layer_difference.unwrap_or(16);
-    let corner_threshold =  corner_threshold.unwrap_or(60);
-    let length_threshold =  length_threshold.unwrap_or(4.0);
-    let splice_threshold =  splice_threshold.unwrap_or(45);
-    let max_iterations =    max_iterations.unwrap_or(10);
-
-    let config = Config {
-        input_path,
-        output_path,
-        color_mode,
-        hierarchical,
-        filter_speckle,
-        color_precision,
-        layer_difference,
-        mode,
-        corner_threshold,
-        length_threshold,
-        max_iterations,
-        splice_threshold,
-        path_precision,
-        ..Default::default()                
-    };
-
-
-    convert_image_to_svg(config).unwrap();
-    Ok(())
-}
-
-/// A Python module implemented in Rust.
-#[pymodule]
-fn vtracer(_py: Python, m: &PyModule) -> PyResult<()> {
-    m.add_function(wrap_pyfunction!(convert_image_to_svg_py, m)?)?;
     Ok(())
 }

cmdapp/src/lib.rs

@@ -11,7 +11,10 @@
 mod config;
 mod converter;
 mod svg;
+mod python;
 
 pub use config::*;
 pub use converter::*;
-pub use svg::*;
+pub use svg::*;
+#[cfg(feature = "python-binding")]
+pub use python::*;

cmdapp/src/main.rs

@@ -1,10 +1,8 @@
-mod config;
-mod converter;
-mod svg;
+use vtracer::{Config, convert_image_to_svg};
 
 fn main() {
-    let config = config::Config::from_args();
-    let result = converter::convert_image_to_svg(config);
+    let config = Config::from_args();
+    let result = convert_image_to_svg(config);
     match result {
         Ok(()) => {
             println!("Conversion successful.");

cmdapp/src/python.rs

@@ -0,0 +1,81 @@
+use pyo3::prelude::*;
+
+use visioncortex::{PathSimplifyMode};
+use super::converter::*;
+
+/// Python binding
+#[pyfunction]
+fn convert_image_to_svg_py( image_path: &str, 
+                            out_path: &str,   
+                            colormode: Option<&str>,       // "color" or "binary"
+                            hierarchical: Option<&str>,    // "stacked" or "cutout"
+                            mode: Option<&str>,            // "polygon", "spline", "none"
+                            filter_speckle: Option<usize>, // default: 4
+                            color_precision: Option<i32>,  // default: 6
+                            layer_difference: Option<i32>, // default: 16
+                            corner_threshold: Option<i32>, // default: 60   
+                            length_threshold: Option<f64>, // in [3.5, 10] default: 4.0
+                            max_iterations: Option<usize>, // default: 10
+                            splice_threshold: Option<i32>, // default: 45
+                            path_precision: Option<u32>    // default: 8
+                        ) -> PyResult<()> {
+    let input_path = PathBuf::from(image_path);
+    let output_path = PathBuf::from(out_path);
+
+    // TODO: enforce color mode with an enum so that we only 
+    // accept the strings 'color' or 'binary'
+    let color_mode = match colormode.unwrap_or("color") {
+        "color" => ColorMode::Color,
+        "binary" => ColorMode::Binary,
+        _ => ColorMode::Color,
+    };
+
+    let hierarchical = match hierarchical.unwrap_or("stacked") {
+        "stacked" => Hierarchical::Stacked,
+        "cutout" => Hierarchical::Cutout,
+        _ => Hierarchical::Stacked,
+    };
+    
+    let mode = match mode.unwrap_or("spline") {
+        "spline" => PathSimplifyMode::Spline,
+        "polygon" => PathSimplifyMode::Polygon,
+        "none" => PathSimplifyMode::None,
+        _ => PathSimplifyMode::Spline,
+    };
+
+    let filter_speckle =    filter_speckle.unwrap_or(4);
+    let color_precision =   color_precision.unwrap_or(6);
+    let layer_difference =  layer_difference.unwrap_or(16);
+    let corner_threshold =  corner_threshold.unwrap_or(60);
+    let length_threshold =  length_threshold.unwrap_or(4.0);
+    let splice_threshold =  splice_threshold.unwrap_or(45);
+    let max_iterations =    max_iterations.unwrap_or(10);
+
+    let config = Config {
+        input_path,
+        output_path,
+        color_mode,
+        hierarchical,
+        filter_speckle,
+        color_precision,
+        layer_difference,
+        mode,
+        corner_threshold,
+        length_threshold,
+        max_iterations,
+        splice_threshold,
+        path_precision,
+        ..Default::default()                
+    };
+
+
+    convert_image_to_svg(config).unwrap();
+    Ok(())
+}
+
+/// A Python module implemented in Rust.
+#[pymodule]
+fn vtracer(_py: Python, m: &PyModule) -> PyResult<()> {
+    m.add_function(wrap_pyfunction!(convert_image_to_svg_py, m)?)?;
+    Ok(())
+}

webapp/Cargo.toml

@@ -1,7 +1,7 @@
 [package]
 name = "vtracer-webapp"
 version = "0.4.0"
-authors = ["Chris Tsang <tyt2y7@gmail.com>"]
+authors = ["Chris Tsang <chris.2y3@outlook.com>"]
 edition = "2021"
 description = "A web app to convert images into vector graphics."
 license = "MIT OR Apache-2.0"

webapp/app/package.json

@@ -2,7 +2,7 @@
   "name": "vtracer-app",
   "version": "0.1.0",
   "description": "VTracer Webapp",
-  "author": "Chris Tsang <tyt2y7@gmail.com>",
+  "author": "Chris Tsang <chris.2y3@outlook.com>",
   "license": "proprietary",
   "private": true,
   "main": "index.js",