131 lines
4.2 KiB
Python
131 lines
4.2 KiB
Python
"""
|
|
pyexcel_ods.odsr
|
|
~~~~~~~~~~~~~~~~~~~~~
|
|
|
|
ods reader
|
|
|
|
:copyright: (c) 2014-2020 by Onni Software Ltd.
|
|
:license: New BSD License, see LICENSE for more details
|
|
"""
|
|
# Copyright 2011 Marco Conti
|
|
|
|
# Licensed under the Apache License, Version 2.0 (the "License");
|
|
# you may not use this file except in compliance with the License.
|
|
# You may obtain a copy of the License at
|
|
|
|
# http://www.apache.org/licenses/LICENSE-2.0
|
|
|
|
# Unless required by applicable law or agreed to in writing, software
|
|
# distributed under the License is distributed on an "AS IS" BASIS,
|
|
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
|
# See the License for the specific language governing permissions and
|
|
# limitations under the License.
|
|
from io import BytesIO
|
|
|
|
import pyexcel_io.service as service
|
|
from odf.text import P
|
|
from odf.table import Table, TableRow, TableCell
|
|
|
|
# Thanks to grt for the fixes
|
|
from odf.teletype import extractText
|
|
from odf.namespaces import OFFICENS
|
|
from odf.opendocument import load
|
|
from pyexcel_io.plugin_api import ISheet, IReader, NamedContent
|
|
|
|
|
|
class ODSSheet(ISheet):
|
|
"""native ods sheet"""
|
|
|
|
def __init__(self, sheet, auto_detect_int=True, **keywords):
|
|
self._native_sheet = sheet
|
|
self._keywords = keywords
|
|
self.__auto_detect_int = auto_detect_int
|
|
|
|
@property
|
|
def name(self):
|
|
return self._native_sheet.getAttribute("name")
|
|
|
|
def row_iterator(self):
|
|
return self._native_sheet.getElementsByType(TableRow)
|
|
|
|
def column_iterator(self, row):
|
|
cells = row.getElementsByType(TableCell)
|
|
for cell in cells:
|
|
repeat = cell.getAttribute("numbercolumnsrepeated")
|
|
cell_value = self.__read_cell(cell)
|
|
if repeat:
|
|
number_of_repeat = int(repeat)
|
|
for i in range(number_of_repeat):
|
|
yield cell_value
|
|
else:
|
|
yield cell_value
|
|
|
|
def __read_cell(self, cell):
|
|
cell_type = cell.getAttrNS(OFFICENS, "value-type")
|
|
value_token = service.VALUE_TOKEN.get(cell_type, "value")
|
|
ret = None
|
|
if cell_type == "string":
|
|
text_content = self.__read_text_cell(cell)
|
|
ret = text_content
|
|
elif cell_type == "currency":
|
|
value = cell.getAttrNS(OFFICENS, value_token)
|
|
currency = cell.getAttrNS(OFFICENS, cell_type)
|
|
if currency:
|
|
ret = value + " " + currency
|
|
else:
|
|
ret = value
|
|
else:
|
|
if cell_type in service.VALUE_CONVERTERS:
|
|
value = cell.getAttrNS(OFFICENS, value_token)
|
|
n_value = service.VALUE_CONVERTERS[cell_type](value)
|
|
if cell_type == "float" and self.__auto_detect_int:
|
|
if service.has_no_digits_in_float(n_value):
|
|
n_value = int(n_value)
|
|
ret = n_value
|
|
else:
|
|
text_content = self.__read_text_cell(cell)
|
|
ret = text_content
|
|
return ret
|
|
|
|
def __read_text_cell(self, cell):
|
|
text_content = []
|
|
paragraphs = cell.getElementsByType(P)
|
|
# for each text node
|
|
for paragraph in paragraphs:
|
|
name_space, tag = paragraph.parentNode.qname
|
|
if tag != str("annotation"):
|
|
data = extractText(paragraph)
|
|
text_content.append(data)
|
|
return "\n".join(text_content)
|
|
|
|
|
|
class ODSBook(IReader):
|
|
"""read ods book"""
|
|
|
|
def __init__(self, file_alike_object, _, **keywords):
|
|
self._native_book = load(file_alike_object)
|
|
self._keywords = keywords
|
|
self.content_array = [
|
|
NamedContent(table.getAttribute("name"), table)
|
|
for table in self._native_book.spreadsheet.getElementsByType(Table)
|
|
]
|
|
|
|
def read_sheet(self, sheet_index):
|
|
"""read a sheet at a specified index"""
|
|
table = self.content_array[sheet_index].payload
|
|
sheet = ODSSheet(table, **self._keywords)
|
|
return sheet
|
|
|
|
def close(self):
|
|
self._native_book = None
|
|
|
|
|
|
class ODSBookInContent(ODSBook):
|
|
"""
|
|
Open xlsx as read only mode
|
|
"""
|
|
|
|
def __init__(self, file_content, file_type, **keywords):
|
|
io = BytesIO(file_content)
|
|
super().__init__(io, file_type, **keywords)
|