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Use regular ids
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1 changed files with 11 additions and 48 deletions
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@ -5,64 +5,27 @@ Filter program for transforming the Pandoc AST
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"""
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import json
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import re
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import sys
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TITLE = "Documentation"
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def text_content(content):
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text = ""
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for block in content:
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if block["t"] == "Space":
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text += " "
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elif block["t"] == "Str":
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text += block["c"]
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return text
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def convert_framgent(*titles):
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titles = list(titles)
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for i, title in enumerate(titles):
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title = re.sub(r"\s", "-", title)
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title = re.sub(r"[^\w-]", "", title)
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titles[i] = title.lower()
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return "/".join(titles)
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def main():
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data = json.load(sys.stdin)
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delete_block_indices = []
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level1_heading = None
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# Use hierachical link fragments (e.g. #heading/subheading)
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headings = []
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for i, block in enumerate(data["blocks"]):
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if block["t"] != "Header":
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continue
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level, (attr_id, attr_class, attr_name), content = block["c"]
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if level == 1:
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if level1_heading is not None:
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print("ERROR: Mulitple level 1 headings found",
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file=sys.stderr)
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exit(1)
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delete_block_indices.append(i)
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level1_heading = content
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continue
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shifted_level = level - 1 # Ignore level 1 heading
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title = text_content(content)
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headings = headings[:shifted_level - 1]
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while len(headings) < shifted_level - 1:
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headings.append("")
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headings.append(title)
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full_attr_id = convert_framgent(*headings)
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block["c"] = [level, [full_attr_id, attr_class, attr_name], content]
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if level1_heading != [{'t': 'Str', 'c': TITLE}]:
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print("ERROR: Level 1 heading must be %r" % TITLE, file=sys.stderr)
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level1_headings = [
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(i, content) for i, (level, _, content)
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in ((i, b["c"]) for i, b in enumerate(data["blocks"])
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if b["t"] == "Header")
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if level == 1]
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if (len(level1_headings) != 1
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or level1_headings[0][1] != [{"t": "Str", "c": TITLE}]):
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print(("ERROR: Document must contain single level 1 heading "
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"with content %r") % TITLE, file=sys.stderr)
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exit(1)
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data["meta"]["title"] = {"t": "MetaInlines", "c": level1_heading}
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for i in reversed(delete_block_indices):
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for i, _ in reversed(level1_headings):
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del data["blocks"][i]
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data["meta"]["title"] = {"t": "MetaInlines", "c": level1_headings[0][1]}
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json.dump(data, sys.stdout)
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