Skip to content
Projects
Groups
Snippets
Help
Loading...
Help
Support
Keyboard shortcuts
?
Submit feedback
Contribute to GitLab
Sign in / Register
Toggle navigation
E
erp5_rtl_support
Project overview
Project overview
Details
Activity
Releases
Repository
Repository
Files
Commits
Branches
Tags
Contributors
Graph
Compare
Issues
0
Issues
0
List
Boards
Labels
Milestones
Merge Requests
0
Merge Requests
0
Analytics
Analytics
Repository
Value Stream
Wiki
Wiki
Snippets
Snippets
Members
Members
Collapse sidebar
Close sidebar
Activity
Graph
Create a new issue
Commits
Issue Boards
Open sidebar
Romain Courteaud
erp5_rtl_support
Commits
0bc2407f
Commit
0bc2407f
authored
Dec 17, 2012
by
Pere Cortes
Committed by
Sebastien Robin
Jan 24, 2013
Browse files
Options
Browse Files
Download
Email Patches
Plain Diff
image_unit_test added and testSafeImage fixed
parent
8bc8ccc3
Changes
3
Show whitespace changes
Inline
Side-by-side
Showing
3 changed files
with
1280 additions
and
11 deletions
+1280
-11
bt5/erp5_safeimage/SkinTemplateItem/portal_skins/erp5_safeimage/img/image_unit_test.jpg.xml
...m/portal_skins/erp5_safeimage/img/image_unit_test.jpg.xml
+1255
-0
bt5/erp5_safeimage/TestTemplateItem/testSafeImage.py
bt5/erp5_safeimage/TestTemplateItem/testSafeImage.py
+24
-10
bt5/erp5_safeimage/bt/revision
bt5/erp5_safeimage/bt/revision
+1
-1
No files found.
bt5/erp5_safeimage/SkinTemplateItem/portal_skins/erp5_safeimage/img/image_unit_test.jpg.xml
0 → 100644
View file @
0bc2407f
<?xml version="1.0"?>
<ZopeData>
<record
id=
"1"
aka=
"AAAAAAAAAAE="
>
<pickle>
<global
name=
"Image"
module=
"OFS.Image"
/>
</pickle>
<pickle>
<dictionary>
<item>
<key>
<string>
_EtagSupport__etag
</string>
</key>
<value>
<string>
ts55758057.71
</string>
</value>
</item>
<item>
<key>
<string>
__name__
</string>
</key>
<value>
<string>
image_unit_test.jpg
</string>
</value>
</item>
<item>
<key>
<string>
content_type
</string>
</key>
<value>
<string>
image/jpeg
</string>
</value>
</item>
<item>
<key>
<string>
data
</string>
</key>
<value>
<persistent>
<string
encoding=
"base64"
>
AAAAAAAAAAI=
</string>
</persistent>
</value>
</item>
<item>
<key>
<string>
height
</string>
</key>
<value>
<int>
495
</int>
</value>
</item>
<item>
<key>
<string>
precondition
</string>
</key>
<value>
<string></string>
</value>
</item>
<item>
<key>
<string>
size
</string>
</key>
<value>
<int>
67960
</int>
</value>
</item>
<item>
<key>
<string>
title
</string>
</key>
<value>
<string>
image_unit_test.jpg
</string>
</value>
</item>
<item>
<key>
<string>
width
</string>
</key>
<value>
<int>
660
</int>
</value>
</item>
</dictionary>
</pickle>
</record>
<record
id=
"2"
aka=
"AAAAAAAAAAI="
>
<pickle>
<global
name=
"Pdata"
module=
"OFS.Image"
/>
</pickle>
<pickle>
<dictionary>
<item>
<key>
<string>
data
</string>
</key>
<value>
<string
encoding=
"base64"
>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</string>
</value>
</item>
</dictionary>
</pickle>
</record>
</ZopeData>
bt5/erp5_safeimage/TestTemplateItem/testSafeImage.py
View file @
0bc2407f
#from Products.ERP5.Document.Image import Image
#from Products.ERP5Type.tests.utils import FileUpload
import
Image
import
Image
from
Products.ERP5Type.tests.ERP5TypeTestCase
import
ERP5TypeTestCase
from
Products.ERP5Type.tests.ERP5TypeTestCase
import
ERP5TypeTestCase
import
transaction
import
transaction
...
@@ -20,7 +18,8 @@ class FileUpload(file):
...
@@ -20,7 +18,8 @@ class FileUpload(file):
def
makeFilePath
(
name
):
def
makeFilePath
(
name
):
return
os
.
path
.
join
(
os
.
path
.
dirname
(
__file__
),
'tmp'
,
name
)
#return os.path.join(os.path.dirname(__file__), 'tmp', name)
return
name
def
makeFileUpload
(
name
,
as_name
=
None
):
def
makeFileUpload
(
name
,
as_name
=
None
):
if
as_name
is
None
:
if
as_name
is
None
:
...
@@ -51,21 +50,36 @@ class TestSafeImage(ERP5TypeTestCase):
...
@@ -51,21 +50,36 @@ class TestSafeImage(ERP5TypeTestCase):
def
_createImage
(
self
):
def
_createImage
(
self
):
portal
=
self
.
getPortalObject
()
portal
=
self
.
getPortalObject
()
_image
=
makeFileUpload
(
'image_test.jpg'
)
image
=
portal
.
restrictedTraverse
(
'portal_skins/erp5_safeimage/img/image_unit_test.jpg'
)
path_image
=
"tmp/image_unit_test.jpg"
fd
=
os
.
open
(
path_image
,
os
.
O_CREAT
|
os
.
O_RDWR
)
os
.
write
(
fd
,
str
(
image
.
data
))
os
.
close
(
fd
)
_image
=
makeFileUpload
(
path_image
)
image
=
self
.
image_module
.
newContent
(
portal_type
=
'Image'
,
title
=
'testImage'
,
image
=
self
.
image_module
.
newContent
(
portal_type
=
'Image'
,
title
=
'testImage'
,
id
=
'testImage'
,
file
=
_image
,
filename
=
'testImage'
)
id
=
'testImage'
,
file
=
_image
,
filename
=
'testImage'
)
return
image
return
image
def
_createTileImage
(
self
):
def
_createTileImage
(
self
):
portal
=
self
.
getPortalObject
()
portal
=
self
.
getPortalObject
()
tile_image
=
makeFileUpload
(
'image_test.jpg'
)
image
=
portal
.
restrictedTraverse
(
'portal_skins/erp5_safeimage/img/image_unit_test.jpg'
)
path_image
=
"tmp/image_unit_test.jpg"
fd
=
os
.
open
(
path_image
,
os
.
O_CREAT
|
os
.
O_RDWR
)
os
.
write
(
fd
,
str
(
image
.
data
))
os
.
close
(
fd
)
tile_image
=
makeFileUpload
(
path_image
)
tile
=
self
.
image_module
.
newContent
(
portal_type
=
'Image Tile'
,
title
=
'testTile'
,
tile
=
self
.
image_module
.
newContent
(
portal_type
=
'Image Tile'
,
title
=
'testTile'
,
id
=
'testTile'
,
file
=
tile_image
,
filename
=
'testTile'
)
id
=
'testTile'
,
file
=
tile_image
,
filename
=
'testTile'
)
return
tile
return
tile
def
_createTileImageTransformed
(
self
):
def
_createTileImageTransformed
(
self
):
portal
=
self
.
getPortalObject
()
portal
=
self
.
getPortalObject
()
tile_image_transformed
=
makeFileUpload
(
'image_test.jpg'
)
image
=
portal
.
restrictedTraverse
(
'portal_skins/erp5_safeimage/img/image_unit_test.jpg'
)
path_image
=
"tmp/image_unit_test.jpg"
fd
=
os
.
open
(
path_image
,
os
.
O_CREAT
|
os
.
O_RDWR
)
os
.
write
(
fd
,
str
(
image
.
data
))
os
.
close
(
fd
)
tile_image_transformed
=
makeFileUpload
(
path_image
)
tile_transformed
=
self
.
image_module
.
newContent
(
portal_type
=
'Image Tile Transformed'
,
tile_transformed
=
self
.
image_module
.
newContent
(
portal_type
=
'Image Tile Transformed'
,
title
=
'testTileTransformed'
,
id
=
'testTileTransformed'
,
title
=
'testTileTransformed'
,
id
=
'testTileTransformed'
,
file
=
tile_image_transformed
,
filename
=
'testTileTransformed'
)
file
=
tile_image_transformed
,
filename
=
'testTileTransformed'
)
...
@@ -123,7 +137,7 @@ class TestSafeImage(ERP5TypeTestCase):
...
@@ -123,7 +137,7 @@ class TestSafeImage(ERP5TypeTestCase):
self
.
assertNotEqual
(
tile_transformed
,
None
)
self
.
assertNotEqual
(
tile_transformed
,
None
)
image_property
=
getattr
(
tile_transformed
,
"ImageProperties.xml"
,
None
)
image_property
=
getattr
(
tile_transformed
,
"ImageProperties.xml"
,
None
)
self
.
assertEquals
(
image_property
.
getData
(),
self
.
assertEquals
(
image_property
.
getData
(),
"""<IMAGE_PROPERTIES WIDTH="660" HEIGHT="495" NUMTILES="
9
" NUMIMAGES="1" VERSION="1.8" TILESIZE="256" />"""
)
"""<IMAGE_PROPERTIES WIDTH="660" HEIGHT="495" NUMTILES="
52
" NUMIMAGES="1" VERSION="1.8" TILESIZE="256" />"""
)
self
.
assertNotEqual
(
image_property
,
None
)
self
.
assertNotEqual
(
image_property
,
None
)
self
.
assertEquals
(
"Embedded File"
,
image_property
.
getPortalType
())
self
.
assertEquals
(
"Embedded File"
,
image_property
.
getPortalType
())
image_transform
=
getattr
(
tile_transformed
,
"TransformFile.txt"
,
None
)
image_transform
=
getattr
(
tile_transformed
,
"TransformFile.txt"
,
None
)
...
...
bt5/erp5_safeimage/bt/revision
View file @
0bc2407f
6
7
\ No newline at end of file
\ No newline at end of file
Write
Preview
Markdown
is supported
0%
Try again
or
attach a new file
Attach a file
Cancel
You are about to add
0
people
to the discussion. Proceed with caution.
Finish editing this message first!
Cancel
Please
register
or
sign in
to comment