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r""" |
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Panflute filter to convert any native pandoc tables into the CSV table format used by pantable: |
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- in code-block with class table |
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- metadata in YAML |
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- table in CSV |
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e.g. |
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~~~markdown |
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+--------+---------------------+--------------------------+ |
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| First | defaulted to be | can be disabled | |
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| row | header row | | |
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+========+=====================+==========================+ |
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| 1 | cell can contain | It can be aribrary block | |
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| | **markdown** | element: | |
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| | | | |
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| | | - following standard | |
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| | | markdown syntax | |
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| | | - like this | |
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+--------+---------------------+--------------------------+ |
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| 2 | Any markdown | $$E = mc^2$$ | |
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| | syntax, e.g. | | |
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+--------+---------------------+--------------------------+ |
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: *Awesome* **Markdown** Table |
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~~~ |
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becomes |
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~~~markdown |
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``` {.table} |
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--- |
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alignment: DDD |
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caption: '*Awesome* **Markdown** Table' |
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header: true |
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markdown: true |
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table-width: 0.8055555555555556 |
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width: [0.125, 0.3055555555555556, 0.375] |
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--- |
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First row,defaulted to be header row,can be disabled |
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1,cell can contain **markdown**,"It can be aribrary block element: |
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- following standard markdown syntax |
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- like this |
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" |
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2,"Any markdown syntax, e.g.",$$E = mc^2$$ |
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``` |
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~~~ |
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""" |
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import io |
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import panflute |
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import yaml |
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import sys |
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py2 = sys.version_info[0] == 2 |
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if py2: |
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from backports import csv |
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else: |
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import csv |
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def ast2markdown(ast): |
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""" |
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A shorthand to convert panflute AST to Markdown |
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""" |
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return panflute.convert_text( |
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ast, |
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input_format='panflute', |
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output_format='markdown' |
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) |
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def table2csv(elem, doc): |
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""" |
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find Table element and return a csv table in code-block with class "table" |
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""" |
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if isinstance(elem, panflute.Table): |
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# get options as a dictionary |
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options = {} |
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# options: caption: panflute ast to markdown |
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if elem.caption: |
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options['caption'] = ast2markdown(panflute.Para(*elem.caption)) |
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# options: alignment |
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align_dict = {"AlignLeft": 'L', |
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"AlignCenter": 'C', |
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"AlignRight": 'R', |
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"AlignDefault": 'D'} |
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parsed_alignment = [align_dict[i] for i in elem.alignment] |
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options['alignment'] = "".join(parsed_alignment) |
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# options: width |
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options['width'] = elem.width |
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# options: table-width from width |
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options['table-width'] = sum(options['width']) |
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# options: header: False if empty header row, else True |
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options['header'] = bool(panflute.stringify(elem.header)) |
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# options: markdown |
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options['markdown'] = True |
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# option in YAML |
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yaml_metadata = yaml.safe_dump(options) |
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# table in panflute AST |
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table_body = elem.content |
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if options['header']: |
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table_body.insert(0, elem.header) |
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# table in list |
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table_list = [[ast2markdown(cell.content) |
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for cell in row.content] |
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for row in table_body] |
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# table in CSV |
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with io.StringIO() as file: |
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writer = csv.writer(file) |
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writer.writerows(table_list) |
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csv_table = file.getvalue() |
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code_block = "{delimiter}{yaml}{delimiter}{csv}".format( |
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yaml=yaml_metadata, csv=csv_table, delimiter='---\n') |
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return panflute.CodeBlock(code_block, classes=["table"]) |
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return None |
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def main(doc=None): |
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""" |
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Any native pandoc tables will be converted into the CSV table format used by pantable: |
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128
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- in code-block with class table |
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129
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- metadata in YAML |
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- table in CSV |
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""" |
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return panflute.run_filter( |
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table2csv, |
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doc=doc |
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) |
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if __name__ == '__main__': |
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main() |
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ickc /
pantable
