| 1 | import xlrd
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| 2 | import csv
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| 3 | import os
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| 4 |
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| 5 | import xlsutil
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| 6 |
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| 7 | ## worksheet_name = "Archaeological reports"
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| 8 |
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| 9 |
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| 10 | def excel_to_sanitized_csv(excel_filename):
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| 11 | workbook = xlrd.open_workbook(excel_filename)
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| 12 | # worksheet = workbook.sheet_by_name(worksheet_name)
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| 13 | worksheet = workbook.sheet_by_index(0)
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| 14 |
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| 15 | excel_filename_split = os.path.split(excel_filename)
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| 16 | excel_dirname = excel_filename_split[0]
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| 17 | excel_file = excel_filename_split[1]
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| 18 | excel_file_splitext = os.path.splitext(excel_file)
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| 19 | excel_file_root = excel_file_splitext[0];
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| 20 |
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| 21 | sanitized_csv_filename = os.path.join(excel_dirname,excel_file_root+".csv")
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| 22 |
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| 23 | # print "Worksheet: " + worksheet_name
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| 24 | sanitized_csv_ofile = open(sanitized_csv_filename, 'wb')
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| 25 |
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| 26 | sanitized_csv_wr = csv.writer(sanitized_csv_ofile, quoting=csv.QUOTE_ALL)
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| 27 |
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| 28 | # 1. For header line, Build up hashmap of header-names to column number
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| 29 | # 2. Write out CSV file for only the header-names in 'sanitized_headers'
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| 30 |
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| 31 | num_rows = worksheet.nrows
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| 32 |
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| 33 | # row_i = 0
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| 34 | # num_header_cols = worksheet.row_len(row_i)
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| 35 |
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| 36 | # 1. get header-map
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| 37 | header_names_mapping = xlsutil.getHeaderMappingToColNum(worksheet)
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| 38 |
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| 39 | # found_header = False
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| 40 | # for col_j in range(num_header_cols):
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| 41 | # header_cell_value = worksheet.cell_value(row_i,col_j)
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| 42 | # if header_cell_value == "Report Identifier":
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| 43 | # found_header = True
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| 44 | #
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| 45 | # header_names_mapping[header_cell_value] = col_j
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| 46 | #
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| 47 | # if not(found_header):
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| 48 | if header_names_mapping is None:
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| 49 | print "Failed to find \"Report Identifier\" header in spreadsheet (Row 0 or Sheet 0)"
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| 50 | exit(1)
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| 51 |
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| 52 | # Move on to the start of the data values
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| 53 | row_i = 1
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| 54 |
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| 55 | # 2. Write out CSV file ...
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| 56 | while row_i<num_rows:
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| 57 | # Work through sanitized header names building up row of utf8 values
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| 58 | sanitized_utf8_row = []
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| 59 |
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| 60 | for header_name in xlsutil.sanitized_headers:
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| 61 |
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| 62 | if header_name in header_names_mapping:
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| 63 | header_col_j = header_names_mapping[header_name]
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| 64 |
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| 65 | cell_value = worksheet.cell_value(row_i,header_col_j)
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| 66 |
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| 67 |
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| 68 |
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| 69 | cell_value_utf8 = unicode(cell_value).encode("utf-8")
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| 70 |
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| 71 | sanitized_utf8_row.append(cell_value_utf8)
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| 72 | else:
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| 73 | print("Warning: Failed to column mapping in spreadsheet for header name \""+header_name+"\" => skipping")
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| 74 |
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| 75 | sanitized_csv_wr.writerow(sanitized_utf8_row)
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| 76 |
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| 77 | row_i = row_i + 1
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| 78 |
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| 79 | sanitized_csv_ofile.close()
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| 80 |
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| 81 | if __name__ == "__main__":
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| 82 | excel_to_sanitized_csv(os.sys.argv[1])
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| 83 |
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