| 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 | letter_to_folder = {
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| 8 | 'a': "A - B",
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| 9 | 'b': "A - B",
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| 10 | 'c': "C - D",
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| 11 | 'd': "C - D",
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| 12 | 'e': "E - F",
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| 13 | 'f': "E - F",
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| 14 | 'g': "G - H",
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| 15 | 'h': "G - H",
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| 16 | 'i': "I - J",
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| 17 | 'j': "I - J",
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| 18 | 'k': "K - L",
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| 19 | 'l': "K - L",
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| 20 | 'm': "M - N",
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| 21 | 'n': "M - N",
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| 22 | 'o': "O - P",
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| 23 | 'p': "O - P",
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| 24 | 'q': "Q - R",
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| 25 | 'r': "Q - R",
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| 26 | 's': "S - T",
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| 27 | 't': "S - T",
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| 28 | 'u': "U - V",
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| 29 | 'v': "U - V",
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| 30 | 'w': "W - Z",
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| 31 | 'x': "W - Z",
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| 32 | 'y': "W - Z",
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| 33 | 'z': "W - Z"
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| 34 | }
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| 35 |
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| 36 | def id_to_relative_pdf_file(id):
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| 37 | first_char = id[0:1]
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| 38 | first_char_lower = first_char.lower()
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| 39 |
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| 40 | file_tail = letter_to_folder[first_char_lower]
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| 41 | file_root = "Reports " + file_tail
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| 42 |
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| 43 | pdf_file = os.path.join("Digital-Library-PDFs",file_root,id+".pdf")
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| 44 |
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| 45 | return pdf_file
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| 46 |
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| 47 |
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| 48 | # **** Written, but never used
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| 49 | # **** Col numbers refer to older version of spreadsheet
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| 50 | #
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| 51 | # There is now a mapping of header-name to index position which would be
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| 52 | # a better way to do thing
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| 53 |
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| 54 | def fixup_cell(col_num,cell_str):
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| 55 | # col == 1 => Author
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| 56 | # col == 2 => Title
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| 57 | # col == 4 => TLA
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| 58 | # col == 5 => AuthorityNo
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| 59 | # col == 6 => SiteNo
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| 60 |
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| 61 | if col_num == 1: #Author
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| 62 | cell_str = re.sub('\|?(et al)|(Associates)', '', cell_str)
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| 63 |
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| 64 | if col_num == 2: #Title
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| 65 | # Detect any ALL-CAPS titles, and change to title-case
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| 66 | onlyletters = re.sub('[^A-Za-z]+', '', cell_str)
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| 67 | if onlyletters.isupper:
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| 68 | cell_str = cell_str.title()
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| 69 |
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| 70 | if col_num == 4: #TLA
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| 71 | if cell_str == "All": cell_str = ""
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| 72 | if cell_str == "n/a": cell_str = ""
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| 73 | if cell_str == "various": cell_str = "" # not a meaningful TLA
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| 74 |
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| 75 |
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| 76 | return cell_str
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| 77 |
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| 78 |
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| 79 | def excel_to_bound_pdf_csv(excel_filename):
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| 80 | workbook = xlrd.open_workbook(excel_filename)
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| 81 |
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| 82 | worksheet = workbook.sheet_by_index(xlsutil.worksheet_index_pos)
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| 83 | ## worksheet = workbook.sheet_by_name(xlsutil.worksheet_name)
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| 84 |
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| 85 | excel_filename_split = os.path.split(excel_filename)
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| 86 | excel_dirname = excel_filename_split[0]
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| 87 | excel_file = excel_filename_split[1]
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| 88 | excel_file_splitext = os.path.splitext(excel_file)
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| 89 | excel_file_root = excel_file_splitext[0];
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| 90 |
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| 91 | pdfbound_filename = os.path.join(excel_dirname,"PDF-BOUND "+excel_file_root+".csv")
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| 92 | unbound_filename = os.path.join(excel_dirname,"UNBOUND "+excel_file_root+".csv")
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| 93 |
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| 94 | csv_pdfbound_ofile = open(pdfbound_filename, 'wb')
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| 95 | csv_unbound_ofile = open(unbound_filename, 'wb')
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| 96 |
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| 97 | pdfbound_wr = csv.writer(csv_pdfbound_ofile, quoting=csv.QUOTE_ALL)
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| 98 | unbound_wr = csv.writer(csv_unbound_ofile, quoting=csv.QUOTE_ALL)
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| 99 |
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| 100 | # 1. For header-line, build up hashmap of header-names to column number
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| 101 | # 2. Write out header-line as Greenstone friendly Metadata terms
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| 102 | # => remove sp spaces, change "Report Identifier" to hnz.Identifier
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| 103 | # 3. Process the rest of the file, checking if accompanying
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| 104 | # PDF file present or not and only printing out the header-names
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| 105 | # as long as it has a non-empty header-name
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| 106 | ## # specified in 'sanitized_headers'
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| 107 |
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| 108 | num_rows = worksheet.nrows
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| 109 |
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| 110 | # 1. Get header-line hashmap of header-names to column numbers
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| 111 | header_names_mapping = xlsutil.getHeaderMappingToColNum(worksheet)
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| 112 |
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| 113 | if header_names_mapping is None:
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| 114 | print "Failed to find metadata label 'Report Identifier' in column 0"
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| 115 | exit()
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| 116 | else:
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| 117 | # 2. Process Header into Greenstone friendly metadata terms
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| 118 |
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| 119 | entry_utf8_row = []
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| 120 | num_header_cols = worksheet.row_len(xlsutil.header_row_pos)
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| 121 |
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| 122 | for col_j in range(num_header_cols):
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| 123 | ## for header_name in xlsutil.sanitized_headers:
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| 124 |
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| 125 | header_name = worksheet.cell_value(xlsutil.header_row_pos,col_j)
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| 126 |
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| 127 | if header_name and header_name.strip():
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| 128 |
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| 129 | header_col_j = header_names_mapping[header_name]
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| 130 | ## if header_name in header_names_mapping:
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| 131 | ## header_col_j = header_names_mapping[header_name]
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| 132 |
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| 133 | ## header_name = worksheet.cell_value(row_i,header_col_j)
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| 134 |
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| 135 | if header_name == "Report Identifier":
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| 136 | header_name = "hnz.Identifier"
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| 137 |
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| 138 | if header_name == "Title":
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| 139 | header_name = "dc.Title"
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| 140 |
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| 141 | if header_name == "RelevantTLA's":
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| 142 | header_name = "TLA"
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| 143 |
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| 144 | header_name_utf8 = unicode(header_name).encode("utf-8")
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| 145 | metadata_name_utf8 = header_name_utf8.replace(" ", "")
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| 146 |
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| 147 | entry_utf8_row.append(metadata_name_utf8)
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| 148 |
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| 149 | ## else:
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| 150 | ## print("Warning: Failed to column mapping in spreadsheet for header name \""+header_name+"\" => skipping")
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| 151 |
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| 152 | unbound_wr.writerow(entry_utf8_row)
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| 153 |
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| 154 | # Add in 'Filename' as first column in pdfbound CSV file
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| 155 | entry_utf8_row.insert(0, "Filename")
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| 156 | pdfbound_wr.writerow(entry_utf8_row)
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| 157 |
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| 158 | # 3. Process the rest of the file (metadata values) ...
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| 159 |
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| 160 | row_i = xlsutil.header_row_pos + 1
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| 161 | while row_i<num_rows:
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| 162 | num_cols = worksheet.row_len(row_i)
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| 163 | formatted_utf8_row = []
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| 164 |
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| 165 | found_pdf = False
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| 166 |
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| 167 | for col_j in range(num_cols):
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| 168 | ## for header_name in xlsutil.sanitized_headers:
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| 169 | header_name = worksheet.cell_value(xlsutil.header_row_pos,col_j)
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| 170 |
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| 171 | if header_name and header_name.strip():
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| 172 | col_j = header_names_mapping[header_name]
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| 173 | ## if header_name in header_names_mapping:
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| 174 | ## col_j = header_names_mapping[header_name]
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| 175 |
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| 176 | cell_value = worksheet.cell_value(row_i,col_j)
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| 177 |
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| 178 | formatted_cell_value = xlsutil.format_if_int(cell_value)
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| 179 |
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| 180 | if header_name == "Report Identifier":
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| 181 | # Check to see if companion PDF file present
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| 182 | # pdf_filename = os.path.join(excel_dirname,"pdfs",formatted_cell_value+".pdf")
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| 183 | id = formatted_cell_value.replace(" ","")
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| 184 |
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| 185 | pdf_file = id_to_relative_pdf_file(id)
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| 186 | pdf_file_root, pdf_ext = os.path.splitext(pdf_file)
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| 187 | PDF_file = pdf_file_root + ".PDF"
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| 188 |
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| 189 | pdf_filename = os.path.join(excel_dirname,pdf_file)
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| 190 | PDF_filename = os.path.join(excel_dirname,PDF_file)
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| 191 |
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| 192 | if os.path.exists(pdf_filename):
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| 193 | found_pdf = True
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| 194 | formatted_utf8_row.insert(0, pdf_file)
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| 195 | elif os.path.exists(PDF_filename):
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| 196 | found_pdf = True
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| 197 | formatted_utf8_row.insert(0, PDF_file)
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| 198 | else:
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| 199 | print "Unbound id: '" + id + "'"
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| 200 |
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| 201 | if isinstance(formatted_cell_value, basestring):
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| 202 | # Remove any trailing whitespace.
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| 203 | # Newline at end particular harmful for a entry in the CSV file
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| 204 | formatted_cell_value = formatted_cell_value.rstrip();
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| 205 |
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| 206 | formatted_cell_value_utf8 = unicode(formatted_cell_value).encode("utf-8")
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| 207 |
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| 208 | ## Perform any cell transformations to make DL used spreadsheet
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| 209 | ## cleaner to build
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| 210 | # formatted_cell_value_utf8 = fixup_cell(col_j,formatted_cell_value_utf8)
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| 211 |
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| 212 | formatted_utf8_row.append(formatted_cell_value_utf8)
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| 213 | ## else:
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| 214 | ## print "Warning: No column number mapping for header name \""+header_name+"\" => skipping"
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| 215 |
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| 216 | if found_pdf:
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| 217 | pdfbound_wr.writerow(formatted_utf8_row)
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| 218 | else:
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| 219 | unbound_wr.writerow(formatted_utf8_row)
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| 220 |
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| 221 | row_i = row_i + 1
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| 222 |
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| 223 |
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| 224 | csv_pdfbound_ofile.close()
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| 225 | csv_unbound_ofile.close()
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| 226 |
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| 227 | if __name__ == "__main__":
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| 228 | excel_to_bound_pdf_csv(os.sys.argv[1])
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| 229 |
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