1 | import xlrd
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2 |
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3 | # Currently access worksheet by index num
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4 | # Alternative is to do this by worksheet name
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5 | worksheet_index_pos = 0
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6 | ## worksheet_name = "Archaeological reports"
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7 |
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8 | sanitized_headers = [ u"Report Identifier", u"Author", u"Title", u"Produced By", u"Date", u"HNZPT Region", u"File No",
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9 | u"Authority No", u"Site No", u"Relevant TLA's", u"Record Type", u"Date Entered" ]
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10 |
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11 | def make_unicode(value):
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12 | value_unicode = value
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13 |
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14 | if type(value) != unicode:
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15 | value_str = value
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16 | if type(value) != str:
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17 |
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18 | # numbers in the spreadsheet default to 'float'
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19 | # but if actually a whole number, want it be
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20 | # type cast to an 'int' otherwise a '.0' ends
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21 | # up on the end of the string version
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22 | if type(value) is float:
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23 | if value == int(value):
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24 | value = int(value)
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25 |
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26 | value_str = str(value)
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27 |
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28 | value_unicode = value_str.decode('utf-8')
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29 |
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30 | return value_unicode
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31 |
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32 |
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33 | def cell_value_tidy_unicode(worksheet,row_i,col_j):
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34 | value= worksheet.cell_value(row_i,col_j)
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35 |
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36 | value_unicode = make_unicode(value)
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37 | value_unicode_stripped = value_unicode.strip()
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38 |
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39 | return value_unicode_stripped
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40 |
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41 |
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42 | def format_if_int(cell_value):
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43 | # Numbers from worksheet are represented as floating-point type
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44 | # This causes a problem when it is an 'int' as it then gets
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45 | # written out as a floating point number (with a '.0')
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46 | # => test for float and when there is no value after
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47 | # the decimal point, explicitly cast to 'int'
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48 | if type(cell_value) is float:
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49 | if cell_value == int(cell_value):
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50 | cell_value = int(cell_value)
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51 |
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52 | return cell_value
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53 |
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54 |
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55 |
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56 | header_row_pos = 0
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57 |
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58 | def getHeaderMappingToColNum(worksheet):
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59 |
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60 | # For header line, build up hashmap of header-names to column number
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61 | # Assume header line is first row of spreadsheet
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62 |
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63 | header_names_mapping = {}
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64 |
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65 | num_header_cols = worksheet.row_len(header_row_pos)
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66 |
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67 | found_header = False
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68 | for col_j in range(num_header_cols):
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69 | header_cell_value = cell_value_tidy_unicode(worksheet,header_row_pos,col_j)
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70 | if header_cell_value == u"Report Identifier":
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71 | found_header = True
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72 |
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73 | if header_cell_value and header_cell_value.strip():
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74 | header_names_mapping[header_cell_value] = col_j
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75 |
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76 | if not found_header:
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77 | header_names_mapping = None
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78 |
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79 | return header_names_mapping
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80 |
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81 |
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82 | # The following can be used on an XSL file, but not currently an XSLX file
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83 | # This is because, at the time of coding, xlrd does not support loading
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84 | # in an XSLT workbook with formatting_info=True
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85 |
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86 | # https://code.activestate.com/recipes/546518-simple-conversion-of-excel-files-into-csv-and-yaml/download/1/
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87 | def format_excelval(book, type, value, wanttupledate):
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88 | """ Clean up the incoming excel data """
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89 | ## Data Type Codes:
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90 | ## EMPTY 0
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91 | ## TEXT 1 a Unicode string
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92 | ## NUMBER 2 float
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93 | ## DATE 3 float
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94 | ## BOOLEAN 4 int; 1 means TRUE, 0 means FALSE
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95 | ## ERROR 5
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96 | returnrow = []
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97 | if type == 2: # TEXT
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98 | if value == int(value): value = int(value)
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99 | elif type == 3: # NUMBER
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100 | datetuple = xlrd.xldate_as_tuple(value, book.datemode)
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101 | value = datetuple if wanttupledate else tupledate_to_isodate(datetuple)
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102 | elif type == 5: # ERROR
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103 | value = xlrd.error_text_from_code[value]
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104 | return value
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105 |
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