# This file is part of NIT ( http://www.nitlanguage.org ).
#
-# Copyright 2012-2014 Alexis Laferrière <alexis.laf@xymus.net>
+# Copyright 2012-2015 Alexis Laferrière <alexis.laf@xymus.net>
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# See the License for the specific language governing permissions and
# limitations under the License.
-# This script extracts pngs from a single svg for all objects with ids
-# beginning by 0. Requires Inkscape.
+# Extract images of objects from an SVG file using Inkscape
module svg_to_png_and_nit
import opts
import template
+# Image information extracted from the SVG file
class Image
+ # Name extracted from the object ID minus the `0` prefix and Nit safe
var name: String
+
+ # Left border
var x: Int
+
+ # Top border
var y: Int
+
+ # Image width
var w: Int
+
+ # Image height
var h: Int
+
+ # Right border
fun right: Int do return x+w
+
+ # Bottom border
fun bottom: Int do return y+h
redef fun to_s do return name
end
-# The Nit source file to retreive all images
-class ImageSetSrc
+# Document being processed, concerns both the source and the target
+class Document
+ # Name of the source file
+ var drawing_name: String
+
+ # Name of the class to generate
+ var nit_class_name: String = drawing_name.capitalized + "Images" is lazy
+
+ # Scaling to apply to the exported image
+ var scale: Float
+
+ # Source minimum X
+ var min_x: Int
+
+ # Source maximum X
+ var max_x: Int
+
+ # Source minimum Y
+ var min_y: Int
+
+ # Source maximum Y
+ var max_y: Int
+
+ # Get the coordinates for `image` as `"x, y, w, h"`
+ fun coordinates(image: Image): String
+ do
+ var x = image.x.adapt(min_x, scale)
+ var y = image.y.adapt(min_y, scale)
+ var w = (image.w.to_f*scale).to_i
+ var h = (image.h.to_f*scale).to_i
+
+ return "{x}, {y}, {w}, {h}"
+ end
+end
+
+# Nit module with a single class to retrieve to access the extracted images
+abstract class ImageSetSrc
super Template
- var name: String
- init(name: String) do self.name = name
+ # Target document
+ var document: Document
- var attributes = new Array[String]
- var load_exprs = new Array[String]
+ # Images found in the source document
+ var images: Array[Image]
+end
+
+# Nit module targeting the MNit framework
+class MnitImageSetSrc
+ super ImageSetSrc
redef fun rendering
do
+ # Known array of images
+ var arrays_of_images = new Array[String]
+
+ # Attributes of the generated class
+ var attributes = new Array[String]
+
+ # Statements for the generated `load_all` method
+ var load_exprs = new Array[String]
+
+ # Add images to Nit source file
+ for image in images do
+ # Adapt coordinates to new top left and scale
+ var coordinates = document.coordinates(image)
+
+ var nit_name = image.name
+ var last_char = nit_name.chars.last
+ if last_char.to_s.is_numeric then
+ # Array of images
+ # TODO support more than 10 images in an array
+
+ nit_name = nit_name.substring(0, nit_name.length-1)
+ if not arrays_of_images.has(nit_name) then
+ # Create class attribute to store Array
+ arrays_of_images.add(nit_name)
+ attributes.add "\tvar {nit_name} = new Array[Image]\n"
+ end
+ load_exprs.add "\t\t{nit_name}.add(main_image.subimage({coordinates}))\n"
+ else
+ # Single image
+ attributes.add "\tvar {nit_name}: Image is noinit\n"
+ load_exprs.add "\t\t{nit_name} = main_image.subimage({coordinates})\n"
+ end
+ end
+
add """
-# file generated by svg_to_png, do not modify, redef instead
+# File generated by svg_to_png_and_nit, do not modify, redef instead
import mnit::image_set
-class {{{name}}}
+class {{{document.nit_class_name}}}
super ImageSet
+ private var main_image: Image is noinit
"""
add_all attributes
add """
redef fun load_all(app: App)
do
+ main_image = app.load_image(\"images/{{{document.drawing_name}}}.png\")
"""
add_all load_exprs
add """
end
end
+# Nit module targeting the Gamnit framework
+#
+# Gamnit's `Texture` already manage the lazy loading, no need to do it here.
+class GamnitImageSetSrc
+ super ImageSetSrc
+
+ private fun attributes: Array[String]
+ do
+ # Separate the images from the arrays of images
+ var single_images = new Array[Image]
+ var arrays_of_images = new HashMap[String, Array[Image]]
+
+ for image in images do
+ var nit_name = image.name
+ var last_char = nit_name.chars.last
+ if last_char.to_s.is_numeric then
+
+ # Is an array
+ nit_name = nit_name.substring(0, nit_name.length-1)
+ if not arrays_of_images.keys.has(nit_name) then
+ # Create a new array
+ var array = new Array[Image]
+ arrays_of_images[nit_name] = array
+ end
+
+ arrays_of_images[nit_name].add image
+ else
+ # Is a single image
+ single_images.add image
+ end
+ end
+
+ # Attributes of the class
+ var attributes = new Array[String]
+ attributes.add "\tprivate var main_image = new Texture(\"images/{document.drawing_name}.png\")\n"
+
+ # Add single images to Nit source file
+ for image in single_images do
+ # Adapt coordinates to new top left and scale
+ var coordinates = document.coordinates(image)
+
+ attributes.add "\tvar {image.name}: Texture = main_image.subtexture({coordinates})\n"
+ end
+
+ # Add array of images too
+ for name, images in arrays_of_images do
+
+ var lines = new Array[String]
+ for image in images do
+ var coordinates = document.coordinates(image)
+ lines.add "\t\tmain_image.subtexture({coordinates})"
+ end
+
+ attributes.add """
+ var {{{name}}} = new Array[Texture].with_items(
+{{{lines.join(",\n")}}})
+"""
+ end
+
+ return attributes
+ end
+
+ redef fun rendering
+ do
+ add """
+# File generated by svg_to_png_and_nit, do not modify, redef instead
+
+import gamnit::display
+
+class {{{document.nit_class_name}}}
+
+"""
+ add_all attributes
+ add """
+end
+"""
+ end
+end
+
redef class Int
- fun adapt(d: Int, scale: Float): Int
+ # Magic adaption of this coordinates to the given `margin` and `scale`
+ fun adapt(margin: Int, scale: Float): Int
do
- var corrected = self-d
+ var corrected = self-margin
return (corrected.to_f*scale).to_i
end
+ # The first power of to equal or greater than `self`
fun next_pow2: Int
do
var p = 2
end
end
-var opt_out_src = new OptionString("Path to output source file", "--src", "-s")
+var opt_out_src = new OptionString("Path to output source file (folder or file)", "--src", "-s")
var opt_assets = new OptionString("Path to assert dir where to put PNG files", "--assets", "-a")
-var opt_scale = new OptionFloat("Apply scaling to exported images (defaut at 1.0 of 90dpi)", 1.0, "--scale", "-x")
+var opt_scale = new OptionFloat("Apply scaling to exported images (default at 1.0 of 90dpi)", 1.0, "--scale", "-x")
+var opt_gamnit = new OptionBool("Target the Gamnit framework (by default it targets Mnit)", "--gamnit", "-g")
+var opt_pow2 = new OptionBool("Round the image size to the next power of 2", "--pow2")
var opt_help = new OptionBool("Print this help message", "--help", "-h")
var opt_context = new OptionContext
-opt_context.add_option(opt_out_src, opt_assets, opt_scale, opt_help)
+opt_context.add_option(opt_out_src, opt_assets, opt_scale, opt_gamnit, opt_pow2, opt_help)
opt_context.parse(args)
var rest = opt_context.rest
var src_path = opt_out_src.value
if src_path == null then src_path = "src"
-if not src_path.file_exists then
+if not src_path.file_exists and src_path.file_extension != "nit" then
stderr.write "Source dir '{src_path}' does not exist (use --src)\n"
exit 1
end
var scale = opt_scale.value
-var arrays_of_images = new Array[String]
-
for drawing in drawings do
var drawing_name = drawing.basename(".svg")
while not proc.eof do
var line = proc.read_line
var words = line.split(",")
-
+
if words.length == 5 then
var id = words[0]
end
proc.close
- # Nit class
- var nit_class_name = drawing_name.chars.first.to_s.to_upper + drawing_name.substring_from(1) + "Images"
- var nit_src = new ImageSetSrc(nit_class_name)
- nit_src.attributes.add "\tprivate var main_image: Image is noinit\n"
- nit_src.load_exprs.add "\t\tmain_image = app.load_image(\"images/{drawing_name}.png\")\n"
# Sort images by name, it prevents Array errors and looks better
alpha_comparator.sort(images)
- # Add images to Nit source file
- for image in images do
- # Adapt coordinates to new top left and scale
- var x = image.x.adapt(min_x, scale)
- var y = image.y.adapt(min_y, scale)
- var w = (image.w.to_f*scale).to_i
- var h = (image.h.to_f*scale).to_i
+ var document = new Document(drawing_name, scale, min_x, max_x, min_y, max_y)
- var nit_name = image.name
- var last_char = nit_name.chars.last
- if last_char.to_s.is_numeric then
- # Array of images
- # TODO support more than 10 images in an array
-
- nit_name = nit_name.substring(0, nit_name.length-1)
- if not arrays_of_images.has(nit_name) then
- # Create class attribute to store Array
- arrays_of_images.add(nit_name)
- nit_src.attributes.add "\tvar {nit_name} = new Array[Image]\n"
- end
- nit_src.load_exprs.add "\t\t{nit_name}.add(main_image.subimage({x}, {y}, {w}, {h}))\n"
- else
- # Single image
- nit_src.attributes.add "\tvar {nit_name}: Image is noinit\n"
- nit_src.load_exprs.add "\t\t{nit_name} = main_image.subimage({x}, {y}, {w}, {h})\n"
- end
+ # Nit class
+ var nit_src: ImageSetSrc
+ if opt_gamnit.value then
+ nit_src = new GamnitImageSetSrc(document, images)
+ else
+ nit_src = new MnitImageSetSrc(document, images)
+ end
+
+ if not src_path.file_extension == "nit" then
+ src_path = src_path/drawing_name+".nit"
end
# Output source file
- var src_file = new FileWriter.open("{src_path}/{drawing_name}.nit")
+ var src_file = new FileWriter.open(src_path)
nit_src.write_to(src_file)
src_file.close
- # Find closest power of 2
- var dx = max_x - min_x
- max_x = dx.next_pow2 + min_x
+ # Find next power of 2
+ if opt_pow2.value then
+ var dx = max_x - min_x
+ max_x = dx.next_pow2 + min_x
- var dy = max_y - min_y
- max_y = dy.next_pow2 + min_y
+ var dy = max_y - min_y
+ max_y = dy.next_pow2 + min_y
+ end
# Inkscape's --export-area inverts the Y axis. It uses the lower left corner of
# the drawing area where as queries return coordinates from the top left.
nitlanguage / nit.git / commitdiff