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author | Brad Payne (Vir Linden) <vir@lindenlab.com> | 2020-09-11 21:47:37 +0100 |
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committer | Brad Payne (Vir Linden) <vir@lindenlab.com> | 2020-09-11 21:47:37 +0100 |
commit | 822a4fb7d2645a4167b987995a190169133cff42 (patch) | |
tree | 2e47ab26c208ff824269c9960a16ea9985197c63 /scripts/code_tools/modified_strings.py | |
parent | 1eaa76f2f09557e1fc828775249d6eece236572d (diff) |
SL-13705 - Additional cell/column properties specified in excel output
Diffstat (limited to 'scripts/code_tools/modified_strings.py')
-rw-r--r-- | scripts/code_tools/modified_strings.py | 32 |
1 files changed, 27 insertions, 5 deletions
diff --git a/scripts/code_tools/modified_strings.py b/scripts/code_tools/modified_strings.py index ec1c050a8f..b77115ed46 100644 --- a/scripts/code_tools/modified_strings.py +++ b/scripts/code_tools/modified_strings.py @@ -106,7 +106,7 @@ def should_translate(filename, elt, field, val): if re.match(r"^\s*\d*\s*x\s*\d*\s*$", val): #print(val, "matches resolution string, will ignore") return False - # "value" is a hairball, mostly used to encode non-display info but a few exceptions + # "value" attribute is a hairball, mostly used to encode non-display info but a few exceptions if field == "value": if elt.text is not None and len(elt.text) > 0: #print("value has text, ignoring", ET.tostring(elt)) @@ -218,18 +218,40 @@ def make_translation_spreadsheet(mod_tree, base_tree, lang, args): data.append([val, transl_val, new_val, filename, name, attr]) all_en_strings.add(val) rows += 1 - if args.verbose and rows>0: - print(" ",rows,"rows added") + save_as_excel(data, lang) + + +def save_as_excel(data, lang): + outfile = "SL_Translations_{}.xlsx".format(lang.upper()) - cols = ["EN", "Previous Translation ({})".format(lang.upper()), "ENTER NEW TRANSLATION ({})".format(lang.upper()), "File", "Element", "Field"] num_translations = len(data) + cols = ["EN", "Previous Translation ({})".format(lang.upper()), "ENTER NEW TRANSLATION ({})".format(lang.upper()), "File", "Element", "Field"] df = pd.DataFrame(data, columns=cols) - df.to_excel(outfile, index=False) + + writer = pd.ExcelWriter(outfile, engine='xlsxwriter') + df.to_excel(writer, index=False, sheet_name = "Sheet1") + + workbook = writer.book + worksheet = writer.sheets['Sheet1'] + + cell_format = workbook.add_format({'text_wrap': True}) + + # Translators primarily care about columns A-C + worksheet.set_column('A:C', 100, cell_format) + worksheet.set_column('D:D', 50, cell_format, {'hidden': True}) + worksheet.set_column('E:F', 30, cell_format, {'hidden': True}) + + # Lock the column header in place while scrolling + worksheet.freeze_panes(1, 0) + + writer.save() + if num_translations>0: print("Wrote", num_translations, "rows to file", outfile) else: print("Nothing to translate,", outfile, "is empty") + if __name__ == "__main__": |