openpower/pandoc_img.py

   1 #!/usr/bin/env python3
   2
   3 import os
   4 import subprocess
   5 from pandocfilters import (toJSONFilter, RawInline, Space, Str, walk, Image,
   6                            Link)
   7
   8 """
   9 Pandoc filter for Markdown that converts most endnotes into
  10 Pandoc's inline notes. If input notes had multiple paragraphs,
  11 the paragraphs are joined by a space. But if an input note
  12 had any blocks other than paragraphs, the note is left as is.
  13 """
  14
  15 #inkscape -z sv/bridge_phy.svg --export-png=bridge.png
  16 out = open("/tmp/log.txt", "w")
  17
  18 def query(k, v, f, meta):
  19     global inlines
  20     if k == 'BlockQuote':
  21         inlines.append(v)
  22     elif isinstance(v, list):
  23         if inlines and k == 'Para':
  24             inlines.append(Space())
  25         inlines.extend(v)
  26     return v
  27
  28 def inlinenotes(k, v, f, meta):
  29     out.write("k v f meta %s %s %s %s\n" % \
  30         (repr(k), repr(v), repr(f), repr(meta)))
  31     global inlines
  32     inlines = []
  33     if k == u'Image' and f == 'latex':
  34         imgname = v[2][0]
  35         out.write("     image %s\n" % (imgname))
  36         # HACK! works only relative to openpower directory!
  37         if imgname.startswith("/"):
  38             imgname = ".." + imgname
  39         png = imgname.replace(".svg", ".png")
  40         png = os.path.split(png)[1]
  41         png = "tex_out/%s" % png
  42         subprocess.run(["inkscape", "-z", "-C", imgname,
  43                         "--export-png=%s" % png],
  44                         stdout=subprocess.PIPE)
  45         v[2][0] = png
  46         return Image(*v)
  47     if k == 'Str' and f == 'latex':
  48         # link page
  49         if not v.startswith("[["):
  50             return
  51         find_brack = v.find(']]')
  52         if find_brack == -1:
  53             return
  54         link = v[2:find_brack]
  55         out.write("     link %s\n" % link)
  56         lookups = {'sv': 'Scalable Vectors for Power ISA',
  57                    'SV|sv': 'Scalable Vectors for Power ISA',
  58                    'sv/overview': 'Overview Chapter',
  59                    'sv/vector_isa_comparison': 'Vector ISA Comparison',
  60                    'sv/compliancy_levels': 'Compliancy Levels',
  61                    'sv/svp64': 'SVP64 Chapter',
  62                    'sv/sprs': 'SPRs',
  63                    'sv/normal': 'Arithmetic Mode',
  64                    'sv/ldst': 'Load/Store Mode',
  65                    'sv/cr_ops': 'Condition Register Fields Mode',
  66                    'sv/branches': 'Branch Mode',
  67                    'sv/setvl': 'setvl instruction',
  68                    'sv/svstep': 'svstep instruction',
  69                    'sv/remap': 'REMAP subsystem',
  70                    'sv/mv.swizzle': 'Swizzle Move',
  71                    'sv/mv.vec': 'Pack / Unpack',
  72                    'svp64/appendix': 'SVP64 Appendix',
  73                    'sv/svp64_quirks': 'SVP64 Quirks',
  74                    'openpower/isa/simplev': 'Simple-V pseudocode',
  75                    'opcode_regs_deduped': 'SVP64 Augmentation Table',
  76                   }
  77         if link in lookups:
  78             out.write("     found %s\n" % lookups[link])
  79             return [Link(['', [], []],
  80                         [Str("{"+lookups[link]+"}")],
  81                         ['#%s' % link, '']), Str(v[find_brack+2:])]
  82         if '|' in link:
  83             link, ref = link.split("|")
  84             return [Link(['', [], []],
  85                         [Str(link)],
  86                         [ref, '']), Str(v[find_brack+2:])]
  87     if k == 'Link':
  88         out.write("     link type %s\n" % \
  89             (type(v[1][0])))
  90
  91
  92 if __name__ == "__main__":
  93     toJSONFilter(inlinenotes)