Commit 4815fa48 authored by Kazuhiko Shiozaki's avatar Kazuhiko Shiozaki

use ODS instead of SXC for the temporary object in importing a spreadsheet.

export to SXC is no longer supported in LibreOffice 4.2.4.
parent 2eaff72b
<?xml version="1.0"?>
<ZopeData>
<record id="1" aka="AAAAAAAAAAE=">
<pickle>
<global name="File" module="OFS.Image"/>
</pickle>
<pickle>
<dictionary>
<item>
<key> <string>_Cacheable__manager_id</string> </key>
<value> <string>http_cache</string> </value>
</item>
<item>
<key> <string>_EtagSupport__etag</string> </key>
<value> <string>ts47455675.31</string> </value>
</item>
<item>
<key> <string>__name__</string> </key>
<value> <string>openoffice-erp5-objects-template.sxc</string> </value>
</item>
<item>
<key> <string>content_type</string> </key>
<value> <string>application/vnd.sun.xml.calc</string> </value>
</item>
<item>
<key> <string>data</string> </key>
<value> <string encoding="base64">UEsDBBQAAAAAAABjrDRFvBOUHAAAABwAAAAIAAAAbWltZXR5cGVhcHBsaWNhdGlvbi92bmQuc3Vu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</string> </value>
</item>
<item>
<key> <string>precondition</string> </key>
<value> <string></string> </value>
</item>
<item>
<key> <string>size</string> </key>
<value> <long>5732</long> </value>
</item>
<item>
<key> <string>title</string> </key>
<value> <string></string> </value>
</item>
</dictionary>
</pickle>
</record>
</ZopeData>
1063
1064
\ No newline at end of file
......@@ -72,7 +72,7 @@ def getSpreadsheet(file):\n
tmp_ooo = newTempOOoDocument(context, file.filename)\n
tmp_ooo.edit(data=file.read(), content_type=content_type)\n
tmp_ooo.convertToBaseFormat()\n
ignored, import_file_content = tmp_ooo.convert(\'sxc\')\n
ignored, import_file_content = tmp_ooo.convert(\'ods\')\n
ooo_parser.openFromString(str(import_file_content))\n
else:\n
ooo_parser.openFile(file)\n
......
......@@ -219,7 +219,7 @@
<key> <string>default</string> </key>
<value> <string encoding="cdata"><![CDATA[
You can find an OpenOffice template at <a href="openoffice-erp5-objects-template.sxc">openoffice-erp5-objects-template.sxc</a>
You can find an OpenOffice template at <a href="openoffice-erp5-objects-template.ods">openoffice-erp5-objects-template.ods</a>
]]></string> </value>
</item>
......
<?xml version="1.0"?>
<ZopeData>
<record id="1" aka="AAAAAAAAAAE=">
<pickle>
<global name="File" module="OFS.Image"/>
</pickle>
<pickle>
<dictionary>
<item>
<key> <string>_Cacheable__manager_id</string> </key>
<value> <string>http_cache</string> </value>
</item>
<item>
<key> <string>_EtagSupport__etag</string> </key>
<value> <string>ts01697823.02</string> </value>
</item>
<item>
<key> <string>__name__</string> </key>
<value> <string>openoffice-erp5-objects-template.ods</string> </value>
</item>
<item>
<key> <string>content_type</string> </key>
<value> <string>application/vnd.oasis.opendocument.spreadsheet</string> </value>
</item>
<item>
<key> <string>data</string> </key>
<value> <string encoding="base64">UEsDBBQAAAgAAGNDwkSFbDmKLgAAAC4AAAAIAAAAbWltZXR5cGVhcHBsaWNhdGlvbi92bmQub2Fz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</string> </value>
</item>
<item>
<key> <string>precondition</string> </key>
<value> <string></string> </value>
</item>
<item>
<key> <string>size</string> </key>
<value> <int>15316</int> </value>
</item>
<item>
<key> <string>title</string> </key>
<value> <string></string> </value>
</item>
</dictionary>
</pickle>
</record>
</ZopeData>
415
\ No newline at end of file
416
\ No newline at end of file
......@@ -142,7 +142,7 @@ if not (content_type.startswith(\'application/vnd.sun.xml\')\n
tmp_ooo.edit(data=import_file.read(),\n
content_type=content_type)\n
tmp_ooo.convertToBaseFormat()\n
ignored, import_file_content = tmp_ooo.convert(\'sxc\')\n
ignored, import_file_content = tmp_ooo.convert(\'ods\')\n
parser.openFromString(str(import_file_content))\n
else:\n
parser.openFile(import_file)\n
......
......@@ -211,7 +211,7 @@
<key> <string>default</string> </key>
<value> <string encoding="cdata"><![CDATA[
<ul><li>An OpenOffice file is available at <a href="portal_skins/erp5_core/erp5_import_category_tree_examples.sxc">/portal_skins/erp5_core/erp5_import_category_tree_examples.sxc</a> . It contain different examples of how to input a tree of categories. Each sheet title will be used as Base Category.</li><li>Rename every tab of the spreadsheet with the ID of the corresponding base category ID (ex. group).</li><li>Do not merge cells in the uploaded spreadsheet: this will confuse the parser and produce unpredictible results.</li><li><b>Do not use category IDs which are defined in Property Sheets as property</b>. ERP5 is not able to make the difference between a subobject ID and a property ID.</li><li>Even if this tool was designed to import OpenOffice v1.x documents, OASIS OpenDocument files seems to work as well.</li></ul>
<ul><li>An OpenOffice file is available at <a href="portal_skins/erp5_core/erp5_import_category_tree_examples.ods">/portal_skins/erp5_core/erp5_import_category_tree_examples.ods</a> . It contain different examples of how to input a tree of categories. Each sheet title will be used as Base Category.</li><li>Rename every tab of the spreadsheet with the ID of the corresponding base category ID (ex. group).</li><li>Do not merge cells in the uploaded spreadsheet: this will confuse the parser and produce unpredictible results.</li><li><b>Do not use category IDs which are defined in Property Sheets as property</b>. ERP5 is not able to make the difference between a subobject ID and a property ID.</li><li>Even if this tool was designed to import OpenOffice v1.x documents, OASIS OpenDocument files seems to work as well.</li></ul>
]]></string> </value>
</item>
......
<?xml version="1.0"?>
<ZopeData>
<record id="1" aka="AAAAAAAAAAE=">
<pickle>
<global name="File" module="OFS.Image"/>
</pickle>
<pickle>
<dictionary>
<item>
<key> <string>_Cacheable__manager_id</string> </key>
<value> <string>http_cache</string> </value>
</item>
<item>
<key> <string>_EtagSupport__etag</string> </key>
<value> <string>ts01697669.57</string> </value>
</item>
<item>
<key> <string>__name__</string> </key>
<value> <string>erp5_import_category_tree_examples.ods</string> </value>
</item>
<item>
<key> <string>content_type</string> </key>
<value> <string>application/vnd.oasis.opendocument.spreadsheet</string> </value>
</item>
<item>
<key> <string>data</string> </key>
<value> <string encoding="base64">UEsDBBQAAAgAAGZDwkSFbDmKLgAAAC4AAAAIAAAAbWltZXR5cGVhcHBsaWNhdGlvbi92bmQub2Fz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</string> </value>
</item>
<item>
<key> <string>precondition</string> </key>
<value> <string></string> </value>
</item>
<item>
<key> <string>size</string> </key>
<value> <int>31707</int> </value>
</item>
<item>
<key> <string>title</string> </key>
<value> <string></string> </value>
</item>
</dictionary>
</pickle>
</record>
</ZopeData>
<?xml version="1.0"?>
<ZopeData>
<record id="1" aka="AAAAAAAAAAE=">
<pickle>
<global name="File" module="OFS.Image"/>
</pickle>
<pickle>
<dictionary>
<item>
<key> <string>_Cacheable__manager_id</string> </key>
<value> <string>http_cache</string> </value>
</item>
<item>
<key> <string>_EtagSupport__etag</string> </key>
<value> <string>ts61958570.92</string> </value>
</item>
<item>
<key> <string>__name__</string> </key>
<value> <string>erp5_import_category_tree_examples.sxc</string> </value>
</item>
<item>
<key> <string>content_type</string> </key>
<value> <string>application/vnd.sun.xml.calc</string> </value>
</item>
<item>
<key> <string>data</string> </key>
<value> <string encoding="base64">UEsDBBQAAAAAAF1zWzVFvBOUHAAAABwAAAAIAAAAbWltZXR5cGVhcHBsaWNhdGlvbi92bmQuc3Vu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</string> </value>
</item>
<item>
<key> <string>precondition</string> </key>
<value> <string></string> </value>
</item>
<item>
<key> <string>size</string> </key>
<value> <long>6806</long> </value>
</item>
<item>
<key> <string>title</string> </key>
<value> <string></string> </value>
</item>
</dictionary>
</pickle>
</record>
</ZopeData>
41162
\ No newline at end of file
41163
\ No newline at end of file
Markdown is supported
0%
or
You are about to add 0 people to the discussion. Proceed with caution.
Finish editing this message first!
Please register or to comment