From 5d2b4e47dd55be5cff857cf49cb8165966041156 Mon Sep 17 00:00:00 2001
From: Steven Robertson <steven@strobe.cc>
Date: Sat, 17 Dec 2011 18:46:02 -0500
Subject: [PATCH] Parse XML genomes (merged from flockutil)

---
 cuburn/genome.py | 145 +++++++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 145 insertions(+)

diff --git a/cuburn/genome.py b/cuburn/genome.py
index ad65825..74fbfff 100644
--- a/cuburn/genome.py
+++ b/cuburn/genome.py
@@ -1,6 +1,11 @@
+#!/usr/bin/env python2
+
 import base64
+import warnings
+import xml.parsers.expat
 import numpy as np
 
+from code.variations import var_code, var_params
 from code.util import crep
 
 class SplEval(object):
@@ -238,3 +243,143 @@ def json_encode_genome(obj, indent=0):
         return '%.8g' % obj
     raise TypeError("Don't know how to serialize %s of type %s" %
                     (obj, type(obj)))
+
+class XMLGenomeParser(object):
+    """
+    Parse an XML genome into a list of dictionaries.
+    """
+    def __init__(self):
+        self.flames = []
+        self._flame = None
+        self.parser = xml.parsers.expat.ParserCreate()
+        self.parser.StartElementHandler = self.start_element
+        self.parser.EndElementHandler = self.end_element
+
+    def parse(self, file):
+        self.parser.ParseFile(file)
+
+    def start_element(self, name, attrs):
+        if name == 'flame':
+            assert self._flame is None
+            self._flame = dict(attrs)
+            self._flame['xforms'] = []
+            self._flame['palette'] = np.zeros((256, 3), dtype=np.uint8)
+        elif name == 'xform':
+            self._flame['xforms'].append(dict(attrs))
+        elif name == 'finalxform':
+            self._flame['finalxform'] = dict(attrs)
+        elif name == 'color':
+            idx = int(attrs['index'])
+            self._flame['palette'][idx] = map(float, attrs['rgb'].split())
+    def end_element(self, name):
+        if name == 'flame':
+            self.flames.append(self._flame)
+            self._flame = None
+
+def convert_flame(flame):
+    """
+    Convert an XML flame (as returned by XMLGenomeParser) into a plain dict
+    in cuburn's JSON genome format representing a loop edge.
+    """
+    cvt = lambda ks: dict((k, float(flame[k])) for k in ks)
+    camera = {
+        'center': dict(zip('xy', map(float, flame['center'].split()))),
+        'scale': float(flame['scale']) / float(flame['size'].split()[0]),
+        'dither_width': float(flame['filter']),
+        'rotation': float(flame['rotate']),
+        'density': 1.0
+    }
+
+    info = {}
+    for k, f in [('name', 'name'), ('author_url', 'url'), ('author', 'nick')]:
+        if f in flame:
+            info[k] = flame[f]
+
+    time = dict(frame_width=float(flame.get('temporal_filter_width', 1)),
+                duration=1)
+
+    color = cvt(['brightness', 'gamma'])
+    color.update((k, float(flame.get(k, d))) for k, d in
+                 [('highlight_power', -1), ('gamma_threshold', 0.01)])
+    color['vibrance'] = float(flame['vibrancy'])
+    color['background'] = dict(zip('rgb',
+                               map(float, flame['background'].split())))
+    color['palette_times'] = "0"
+    pal = palette_encode(flame['palette'])
+
+    de = dict((k, float(flame.get(f, d))) for f, k, d in
+                [('estimator', 'radius', 11),
+                 ('estimator_minimum', 'minimum', 0),
+                 ('estimator_curve', 'curve', 0.6)])
+
+    xfs = dict(enumerate(map(convert_xform, flame['xforms'])))
+    if 'finalxform' in flame:
+        xfs['final'] = convert_xform(flame['finalxform'], True)
+
+    return dict(camera=camera, color=color, de=de, xforms=xfs,
+                info=info, time=time, palettes=[pal], link='self')
+
+def convert_xform(xf, isfinal=False):
+    # TODO: chaos
+    xf = dict(xf)
+    symm = float(xf.pop('symmetry', 0))
+    anim = xf.pop('animate', symm >= 0)
+    out = dict((k, float(xf.pop(k, v))) for k, v in
+               dict(color=0, color_speed=(1-symm)/2, opacity=1).items())
+    if not isfinal:
+        out['density'] = float(xf.pop('weight'))
+    out['affine'] = convert_affine(xf.pop('coefs'), anim)
+    if 'post' in xf and map(float, xf['post'].split()) != [1, 0, 0, 1, 0, 0]:
+        out['post'] = convert_affine(xf.pop('post'))
+    out['variations'] = {}
+    for k in var_code:
+        if k in xf:
+            var = dict(weight=float(xf.pop(k)))
+            for param, default in var_params.get(k, {}).items():
+                var[param] = float(xf.pop('%s_%s' % (k, param), default))
+            out['variations'][k] = var
+    assert not xf, 'Unrecognized parameters remain: ' + xf
+    return out
+
+def convert_affine(aff, animate=False):
+    xx, yx, xy, yy, xo, yo = map(float, aff.split())
+    # Invert all instances of y (yy is inverted twice)
+    yx, xy, yo = -yx, -xy, -yo
+
+    xa = np.degrees(np.arctan2(yx, xx))
+    ya = np.degrees(np.arctan2(yy, xy))
+    xm = np.hypot(xx, yx)
+    ym = np.hypot(xy, yy)
+
+    angle_between = ya - xa
+    if angle_between < 0:
+        angle_between += 360
+
+    if angle_between < 180:
+        spread = angle_between / 2.0
+    else:
+        spread = -(360-angle_between) / 2.0
+
+    angle = xa + spread
+    if angle < 0:
+        angle += 360.0
+
+    if animate:
+        angle = [0, angle, 1, angle - 360]
+
+    return dict(spread=spread, magnitude={'x': xm, 'y': ym},
+                angle=angle, offset={'x': xo, 'y': yo})
+
+def convert_file(path):
+    """Quick one-shot conversion for an XML genome."""
+    p = GenomeParser()
+    p.parse(open(path))
+    if len(p.flames) > 10:
+        warnings.warn("Lot of flames in this file. Sure it's not a "
+                      "frame-based animation?")
+    for flame in p.flames:
+        yield convert_flame(flame)
+
+if __name__ == "__main__":
+    import sys
+    print '\n\n'.join(map(json_encode_genome, convert_file(sys.argv[1])))