Revision 6632
Added by Aaron Marcuse-Kubitza almost 12 years ago
dict2redmine | ||
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##### Redmine |
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def redmine_bold(text): return '*'+text+'*' |
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def redmine_url(text, url): |
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if url: return '"'+text+'":'+url |
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else: return text |
... | ... | |
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+' <spreadsheet term_col# sources_col# def_col# >redmine') |
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term_col, sources_col, def_col = map(int, [term_col, sources_col, def_col]) |
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# Determine column order
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# Translate input
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reader = csv.reader(sys.stdin) |
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header = reader.next() |
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# Translate input |
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writer = RedmineTableWriter(sys.stdout) |
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writer.writerow(['*Term*', '*Sources*', '*Definition*'])
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writer.writerow(map(redmine_bold, reader.next())) # header
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for row in reader: |
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term = row[term_col] |
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sources = map(simplify_url, row[sources_col].split(source_sep)) |
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def_ = row[def_col] |
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term_str = redmine_url(term, sources[0])
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sources_str = source_sep.join(map(source2redmine_url, sources))
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row[term_col] = redmine_url(term, sources[0])
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row[sources_col] = source_sep.join(map(source2redmine_url, sources))
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writer.writerow([term_str, sources_str, def_])
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writer.writerow(row)
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main() |
Also available in: Unified diff
dict2redmine: Use the input spreadsheet's column names and order, and pass through columns other than the term and sources columns