Skip to content
Projects
Groups
Snippets
Help
Loading...
Help
Support
Keyboard shortcuts
?
Submit feedback
Contribute to GitLab
Sign in / Register
Toggle navigation
W
wendelin
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
CI / CD
CI / CD
Pipelines
Jobs
Schedules
Analytics
Analytics
CI / CD
Repository
Value Stream
Wiki
Wiki
Snippets
Snippets
Members
Members
Collapse sidebar
Close sidebar
Activity
Graph
Create a new issue
Jobs
Commits
Issue Boards
Open sidebar
Rafael Monnerat
wendelin
Commits
4952a5c2
Commit
4952a5c2
authored
Apr 14, 2020
by
Ivan Tyagov
Browse files
Options
Browse Files
Download
Email Patches
Plain Diff
Clean up of unused code.
parent
7cf9b582
Changes
6
Show whitespace changes
Inline
Side-by-side
Showing
6 changed files
with
0 additions
and
642 deletions
+0
-642
bt5/erp5_wendelin_data_lake_ingestion/ExtensionTemplateItem/portal_components/extension.erp5.external_process_raw_data.py
...al_components/extension.erp5.external_process_raw_data.py
+0
-252
bt5/erp5_wendelin_data_lake_ingestion/ExtensionTemplateItem/portal_components/extension.erp5.external_process_raw_data.xml
...l_components/extension.erp5.external_process_raw_data.xml
+0
-137
bt5/erp5_wendelin_data_lake_ingestion/PathTemplateItem/portal_callables/DataTransformation_transformFIFDataToDataArray.xml
...lables/DataTransformation_transformFIFDataToDataArray.xml
+0
-93
bt5/erp5_wendelin_data_lake_ingestion/PathTemplateItem/portal_callables/HandleFifEmbulkIngestion.py
...TemplateItem/portal_callables/HandleFifEmbulkIngestion.py
+0
-37
bt5/erp5_wendelin_data_lake_ingestion/PathTemplateItem/portal_callables/HandleFifEmbulkIngestion.xml
...emplateItem/portal_callables/HandleFifEmbulkIngestion.xml
+0
-95
bt5/erp5_wendelin_data_lake_ingestion/SkinTemplateItem/portal_skins/erp5_wendelin_data_lake/processRawData.xml
...m/portal_skins/erp5_wendelin_data_lake/processRawData.xml
+0
-28
No files found.
bt5/erp5_wendelin_data_lake_ingestion/ExtensionTemplateItem/portal_components/extension.erp5.external_process_raw_data.py
deleted
100644 → 0
View file @
7cf9b582
import
os
import
csv
import
mne
import
json
import
numpy
as
np
from
DateTime
import
DateTime
from
mne.report
import
Report
from
Products.ERP5Type.Log
import
log
from
lxml.html
import
parse
CHUNK_SIZE
=
200000
CHUNK_SIZE_TXT
=
50000
CHUNK_SIZE_CSV
=
25
BIG_FILE
=
5000000000
#5GB
def
saveRawFile
(
data_stream
,
file_name
):
data_stream_chunk
=
None
n_chunk
=
0
chunk_size
=
CHUNK_SIZE
while
True
:
start_offset
=
n_chunk
*
chunk_size
end_offset
=
n_chunk
*
chunk_size
+
chunk_size
try
:
data_stream_chunk
=
''
.
join
(
data_stream
.
readChunkList
(
start_offset
,
end_offset
))
except
:
raise
StandardError
(
"Empty Data Stream"
)
if
data_stream_chunk
==
""
:
break
with
open
(
file_name
,
'a'
)
as
fif_file
:
fif_file
.
write
(
data_stream_chunk
)
n_chunk
+=
1
def
getJSONfromTextFile
(
file_name
):
try
:
data
=
{}
chunk_size
=
CHUNK_SIZE_TXT
with
open
(
file_name
,
'r'
)
as
text_file
:
first_chunk
=
text_file
.
read
(
chunk_size
)
data
[
"File content sample: "
]
=
first_chunk
json_data
=
json
.
dumps
(
data
)
return
json_data
except
Exception
as
e
:
log
(
"Error while getting JSON from text file: "
+
str
(
e
))
return
""
def
getMNEReportJSON
(
file_name
,
raw
):
try
:
pattern
=
file_name
+
"_raw.fif"
report_file
=
file_name
+
'report.html'
os
.
rename
(
file_name
,
pattern
)
report
=
Report
(
verbose
=
True
)
report
.
parse_folder
(
data_path
=
"./"
,
pattern
=
[
pattern
])
report
.
save
(
report_file
,
overwrite
=
True
,
open_browser
=
False
)
data
=
{}
doc
=
parse
(
report_file
)
results
=
doc
.
xpath
(
"//table[@class = 'table table-hover']"
)
rows
=
iter
(
results
[
0
])
for
row
in
rows
:
data
[
row
[
0
].
text
]
=
row
[
1
].
text
json_data
=
json
.
dumps
(
data
)
return
json_data
except
Exception
as
e
:
log
(
"Error while getting JSON Report: "
+
str
(
e
))
return
""
finally
:
if
os
.
path
.
exists
(
pattern
):
os
.
rename
(
pattern
,
file_name
)
if
os
.
path
.
exists
(
report_file
):
os
.
remove
(
report_file
)
def
getRawData
(
file_name
):
raw
=
None
try
:
raw
=
mne
.
io
.
read_raw_fif
(
file_name
,
preload
=
False
,
verbose
=
None
)
except
:
pass
if
raw
is
None
:
try
:
raw
=
mne
.
io
.
read_raw_edf
(
file_name
,
preload
=
False
,
verbose
=
None
)
except
:
pass
if
raw
is
None
:
raise
StandardError
(
"the file does not contain raw data."
)
return
raw
def
processFifData
(
file_name
,
data_array
,
data_descriptor
):
raw
=
getRawData
(
file_name
)
try
:
json_report
=
getMNEReportJSON
(
file_name
,
raw
)
data_descriptor
.
setTextContent
(
json_report
)
except
Exception
as
e
:
log
(
"Error handling Data Descriptor content: "
+
str
(
e
))
picks
=
mne
.
pick_types
(
raw
.
info
)
if
len
(
picks
)
==
0
:
raise
StandardError
(
"The raw data does not contain any element"
)
data
,
times
=
raw
[
picks
[:
1
]]
# get data from first pick to get shape
dtype
=
data
.
dtype
data_array
.
initArray
(
data
.
shape
,
dtype
)
zarray
=
data_array
.
getArray
()
zarray
[
0
]
=
data
[
0
]
data_array
.
setArray
(
zarray
)
for
pick
in
xrange
(
1
,
len
(
picks
)):
data
,
times
=
raw
[
pick
]
zarray
=
data_array
.
getArray
()
zarray
.
append
(
data
)
data_array
.
setArray
(
zarray
)
def
processTextData
(
file_name
,
data_array
,
data_descriptor
):
try
:
json_report
=
getJSONfromTextFile
(
file_name
)
data_descriptor
.
setTextContent
(
json_report
)
except
Exception
as
e
:
log
(
"Error handling Data Descriptor content: "
+
str
(
e
))
def
processCsvData
(
file_name
,
data_array
,
data_descriptor
,
delimiter
=
","
):
def
gen_csv_chunks
(
reader
,
chunksize
=
CHUNK_SIZE_CSV
):
chunk
=
[]
for
index
,
line
in
enumerate
(
reader
):
if
(
index
%
chunksize
==
0
and
index
>
0
):
yield
chunk
del
chunk
[:]
chunk
.
append
(
line
)
yield
chunk
def
appendArray
(
array
,
data_array
,
columns
,
initialize
=
False
):
def
getFloat
(
s
):
try
:
float
(
s
)
return
float
(
s
)
except
:
return
float
(
0
)
init
=
0
if
initialize
:
data_array
.
initArray
((
1
,
columns
),
np
.
dtype
(
'float64'
))
zarray
=
data_array
.
getArray
()
zarray
[
0
]
=
[
getFloat
(
x
)
for
x
in
array
[
0
]]
data_array
.
setArray
(
zarray
)
init
=
1
for
i
in
xrange
(
init
,
len
(
array
)):
if
len
(
array
[
i
])
==
columns
:
zarray
=
data_array
.
getArray
()
zarray
.
append
([[
getFloat
(
x
)
for
x
in
array
[
i
]]])
data_array
.
setArray
(
zarray
)
try
:
with
open
(
file_name
,
'r'
)
as
csv_file
:
reader
=
csv
.
reader
(
csv_file
,
delimiter
=
delimiter
)
csv_file
.
seek
(
0
)
for
i
,
chunk
in
enumerate
(
gen_csv_chunks
(
reader
)):
if
i
==
0
:
try
:
initialize
=
True
columns
=
len
(
chunk
[
0
])
data
=
{}
data
[
"csv"
]
=
chunk
json_data
=
json
.
dumps
(
data
)
except
Exception
as
e
:
log
(
"Error while getting JSON from csv file: "
+
str
(
e
))
return
""
# super inefficient: takes minutes for a csv file of 5MB (57860 rows)
appendArray
(
chunk
,
data_array
,
columns
,
initialize
)
# so returning after first chunk
data_descriptor
.
setTextContent
(
json_data
)
return
initialize
=
False
data_descriptor
.
setTextContent
(
json_data
)
except
Exception
as
e
:
log
(
"Error handling csv Data Descriptor content: "
+
str
(
e
))
def
processTsvData
(
file_name
,
data_array
,
data_descriptor
):
processCsvData
(
file_name
,
data_array
,
data_descriptor
,
delimiter
=
"
\
t
"
)
def
processNiiData
(
file_name
,
data_array
,
data_descriptor
,
gz
=
False
):
old_file
=
file_name
file_name
=
file_name
+
".nii.gz"
if
gz
else
file_name
+
".nii"
os
.
rename
(
old_file
,
file_name
)
try
:
import
nibabel
as
nib
img
=
nib
.
load
(
file_name
)
data
=
{}
for
key
in
img
.
header
:
try
:
if
type
(
img
.
header
[
key
])
is
np
.
ndarray
:
content
=
img
.
header
[
key
].
tolist
()
try
:
if
np
.
isnan
(
img
.
header
[
key
]):
content
=
"nan"
except
:
pass
else
:
content
=
img
.
header
[
key
]
if
content
==
0
:
content
=
"0"
json
.
dumps
(
content
)
if
content
!=
""
:
data
[
key
]
=
content
except
Exception
as
e
:
pass
# ignore non serializable info
json_data
=
json
.
dumps
(
data
)
data_descriptor
.
setTextContent
(
json_data
)
except
Exception
as
e
:
log
(
"Error handling Data Descriptor nii content: "
+
str
(
e
))
raise
e
finally
:
os
.
rename
(
file_name
,
old_file
)
def
processGZData
(
file_name
,
data_array
,
data_descriptor
):
try
:
processNiiData
(
file_name
,
data_array
,
data_descriptor
,
gz
=
True
)
except
:
raise
KeyError
(
"gz"
)
def
processRawData
(
data_stream
,
data_array
,
data_descriptor
,
reference_extension
):
content
=
{
"File content"
:
"empty"
}
if
data_stream
.
getSize
()
==
0
:
data_descriptor
.
setTextContent
(
json
.
dumps
(
content
))
return
"Empty Data Stream"
if
data_stream
.
getSize
()
>
BIG_FILE
:
log
(
"Ingested file bigger than 5GB, get metadata process skiped"
)
return
"File bigger than 5GB"
file_name
=
"temporal_file_%s"
%
DateTime
().
strftime
(
'%Y%m%d-%H%M%S'
)
try
:
saveRawFile
(
data_stream
,
file_name
)
except
Exception
as
e
:
if
os
.
path
.
exists
(
file_name
):
os
.
remove
(
file_name
)
return
"Error while processing raw data - saving file: "
+
str
(
e
)
options
=
{
"fif"
:
processFifData
,
"nii"
:
processNiiData
,
"mgz"
:
processNiiData
,
"txt"
:
processTextData
,
"csv"
:
processCsvData
,
"tsv"
:
processTsvData
,
"gz"
:
processGZData
,
"default"
:
processTextData
,
}
try
:
if
reference_extension
in
options
:
options
[
reference_extension
](
file_name
,
data_array
,
data_descriptor
)
else
:
options
[
"default"
](
file_name
,
data_array
,
data_descriptor
)
except
KeyError
,
e
:
return
"Proccessing for data in this %s not implemented yet."
%
reference_extension
except
Exception
as
e
:
return
"Error while processing raw data: "
+
str
(
e
)
finally
:
if
os
.
path
.
exists
(
file_name
):
os
.
remove
(
file_name
)
return
"Raw data processed."
\ No newline at end of file
bt5/erp5_wendelin_data_lake_ingestion/ExtensionTemplateItem/portal_components/extension.erp5.external_process_raw_data.xml
deleted
100644 → 0
View file @
7cf9b582
<?xml version="1.0"?>
<ZopeData>
<record
id=
"1"
aka=
"AAAAAAAAAAE="
>
<pickle>
<global
name=
"Extension Component"
module=
"erp5.portal_type"
/>
</pickle>
<pickle>
<dictionary>
<item>
<key>
<string>
_recorded_property_dict
</string>
</key>
<value>
<persistent>
<string
encoding=
"base64"
>
AAAAAAAAAAI=
</string>
</persistent>
</value>
</item>
<item>
<key>
<string>
default_reference
</string>
</key>
<value>
<string>
external_process_raw_data
</string>
</value>
</item>
<item>
<key>
<string>
description
</string>
</key>
<value>
<none/>
</value>
</item>
<item>
<key>
<string>
id
</string>
</key>
<value>
<string>
extension.erp5.external_process_raw_data
</string>
</value>
</item>
<item>
<key>
<string>
language
</string>
</key>
<value>
<none/>
</value>
</item>
<item>
<key>
<string>
portal_type
</string>
</key>
<value>
<string>
Extension Component
</string>
</value>
</item>
<item>
<key>
<string>
sid
</string>
</key>
<value>
<none/>
</value>
</item>
<item>
<key>
<string>
text_content_error_message
</string>
</key>
<value>
<tuple/>
</value>
</item>
<item>
<key>
<string>
text_content_warning_message
</string>
</key>
<value>
<tuple>
<string>
W: 74, 2: No exception type(s) specified (bare-except)
</string>
<string>
W: 79, 4: No exception type(s) specified (bare-except)
</string>
<string>
W: 95, 8: Unused variable \'times\' (unused-variable)
</string>
<string>
W:131, 6: No exception type(s) specified (bare-except)
</string>
<string>
W:166, 8: Unreachable code (unreachable)
</string>
<string>
W:184, 11: Using type() instead of isinstance() for a typecheck. (unidiomatic-typecheck)
</string>
<string>
W:188, 10: No exception type(s) specified (bare-except)
</string>
</tuple>
</value>
</item>
<item>
<key>
<string>
version
</string>
</key>
<value>
<string>
erp5
</string>
</value>
</item>
<item>
<key>
<string>
workflow_history
</string>
</key>
<value>
<persistent>
<string
encoding=
"base64"
>
AAAAAAAAAAM=
</string>
</persistent>
</value>
</item>
</dictionary>
</pickle>
</record>
<record
id=
"2"
aka=
"AAAAAAAAAAI="
>
<pickle>
<global
name=
"PersistentMapping"
module=
"Persistence.mapping"
/>
</pickle>
<pickle>
<dictionary>
<item>
<key>
<string>
data
</string>
</key>
<value>
<dictionary/>
</value>
</item>
</dictionary>
</pickle>
</record>
<record
id=
"3"
aka=
"AAAAAAAAAAM="
>
<pickle>
<global
name=
"PersistentMapping"
module=
"Persistence.mapping"
/>
</pickle>
<pickle>
<dictionary>
<item>
<key>
<string>
data
</string>
</key>
<value>
<dictionary>
<item>
<key>
<string>
component_validation_workflow
</string>
</key>
<value>
<persistent>
<string
encoding=
"base64"
>
AAAAAAAAAAQ=
</string>
</persistent>
</value>
</item>
</dictionary>
</value>
</item>
</dictionary>
</pickle>
</record>
<record
id=
"4"
aka=
"AAAAAAAAAAQ="
>
<pickle>
<global
name=
"WorkflowHistoryList"
module=
"Products.ERP5Type.patches.WorkflowTool"
/>
</pickle>
<pickle>
<tuple>
<none/>
<list>
<dictionary>
<item>
<key>
<string>
action
</string>
</key>
<value>
<string>
validate
</string>
</value>
</item>
<item>
<key>
<string>
validation_state
</string>
</key>
<value>
<string>
validated
</string>
</value>
</item>
</dictionary>
</list>
</tuple>
</pickle>
</record>
</ZopeData>
bt5/erp5_wendelin_data_lake_ingestion/PathTemplateItem/portal_callables/DataTransformation_transformFIFDataToDataArray.xml
deleted
100644 → 0
View file @
7cf9b582
<?xml version="1.0"?>
<ZopeData>
<record
id=
"1"
aka=
"AAAAAAAAAAE="
>
<pickle>
<global
name=
"PyData Script"
module=
"erp5.portal_type"
/>
</pickle>
<pickle>
<dictionary>
<item>
<key>
<string>
Script_magic
</string>
</key>
<value>
<int>
3
</int>
</value>
</item>
<item>
<key>
<string>
_bind_names
</string>
</key>
<value>
<object>
<klass>
<global
name=
"NameAssignments"
module=
"Shared.DC.Scripts.Bindings"
/>
</klass>
<tuple/>
<state>
<dictionary>
<item>
<key>
<string>
_asgns
</string>
</key>
<value>
<dictionary>
<item>
<key>
<string>
name_container
</string>
</key>
<value>
<string>
container
</string>
</value>
</item>
<item>
<key>
<string>
name_context
</string>
</key>
<value>
<string>
context
</string>
</value>
</item>
<item>
<key>
<string>
name_m_self
</string>
</key>
<value>
<string>
script
</string>
</value>
</item>
<item>
<key>
<string>
name_subpath
</string>
</key>
<value>
<string>
traverse_subpath
</string>
</value>
</item>
</dictionary>
</value>
</item>
</dictionary>
</state>
</object>
</value>
</item>
<item>
<key>
<string>
_local_properties
</string>
</key>
<value>
<tuple>
<dictionary>
<item>
<key>
<string>
id
</string>
</key>
<value>
<string>
reference
</string>
</value>
</item>
<item>
<key>
<string>
type
</string>
</key>
<value>
<string>
string
</string>
</value>
</item>
</dictionary>
</tuple>
</value>
</item>
<item>
<key>
<string>
_params
</string>
</key>
<value>
<string>
input_stream_data, output_array, output_descriptor
</string>
</value>
</item>
<item>
<key>
<string>
description
</string>
</key>
<value>
<none/>
</value>
</item>
<item>
<key>
<string>
id
</string>
</key>
<value>
<string>
DataTransformation_transformFIFDataToDataArray
</string>
</value>
</item>
<item>
<key>
<string>
portal_type
</string>
</key>
<value>
<string>
PyData Script
</string>
</value>
</item>
<item>
<key>
<string>
reference
</string>
</key>
<value>
<string>
DataTransformation_transformFIFDataToDataArray
</string>
</value>
</item>
</dictionary>
</pickle>
</record>
</ZopeData>
bt5/erp5_wendelin_data_lake_ingestion/PathTemplateItem/portal_callables/HandleFifEmbulkIngestion.py
deleted
100644 → 0
View file @
7cf9b582
portal
=
context
.
getPortalObject
()
reference_separator
=
portal
.
getIngestionReferenceDictionary
()[
"reference_separator"
]
reference_length
=
portal
.
getIngestionReferenceDictionary
()[
"reference_length"
]
invalid_chars
=
portal
.
getIngestionReferenceDictionary
()[
"invalid_chars"
]
record
=
reference
.
rsplit
(
reference_separator
)
length
=
len
(
record
)
if
(
length
<
reference_length
):
context
.
logEntry
(
"[ERROR] In HandleFifEmbulkIngestion: Data Ingestion reference is not well formated"
)
raise
ValueError
(
"Data Ingestion reference is not well formated."
)
for
char
in
invalid_chars
:
if
char
in
reference
:
context
.
logEntry
(
"[ERROR] In HandleFifEmbulkIngestion: Data Ingestion reference contains chars that are not allowed"
)
raise
ValueError
(
"Data Ingestion reference contains chars that are not allowed."
)
supplier
=
record
[
0
]
dataset_reference
=
record
[
1
]
filename
=
reference_separator
.
join
(
record
[
2
:
-
4
])
extension
=
record
[
length
-
4
]
eof
=
record
[
length
-
3
]
size
=
record
[
length
-
2
]
hash
=
record
[
length
-
1
]
dict
=
{
'filename'
:
filename
,
'extension'
:
extension
,
'eof'
:
eof
,
'supplier'
:
supplier
,
'dataset_reference'
:
dataset_reference
,
'resource_reference'
:
'fif'
,
'size'
:
size
,
'hash'
:
hash
}
return
dict
bt5/erp5_wendelin_data_lake_ingestion/PathTemplateItem/portal_callables/HandleFifEmbulkIngestion.xml
deleted
100644 → 0
View file @
7cf9b582
<?xml version="1.0"?>
<ZopeData>
<record
id=
"1"
aka=
"AAAAAAAAAAE="
>
<pickle>
<global
name=
"PyData Script"
module=
"erp5.portal_type"
/>
</pickle>
<pickle>
<dictionary>
<item>
<key>
<string>
Script_magic
</string>
</key>
<value>
<int>
3
</int>
</value>
</item>
<item>
<key>
<string>
_bind_names
</string>
</key>
<value>
<object>
<klass>
<global
name=
"NameAssignments"
module=
"Shared.DC.Scripts.Bindings"
/>
</klass>
<tuple/>
<state>
<dictionary>
<item>
<key>
<string>
_asgns
</string>
</key>
<value>
<dictionary>
<item>
<key>
<string>
name_container
</string>
</key>
<value>
<string>
container
</string>
</value>
</item>
<item>
<key>
<string>
name_context
</string>
</key>
<value>
<string>
context
</string>
</value>
</item>
<item>
<key>
<string>
name_m_self
</string>
</key>
<value>
<string>
script
</string>
</value>
</item>
<item>
<key>
<string>
name_subpath
</string>
</key>
<value>
<string>
traverse_subpath
</string>
</value>
</item>
</dictionary>
</value>
</item>
</dictionary>
</state>
</object>
</value>
</item>
<item>
<key>
<string>
_local_properties
</string>
</key>
<value>
<tuple>
<dictionary>
<item>
<key>
<string>
id
</string>
</key>
<value>
<string>
reference
</string>
</value>
</item>
<item>
<key>
<string>
type
</string>
</key>
<value>
<string>
string
</string>
</value>
</item>
</dictionary>
</tuple>
</value>
</item>
<item>
<key>
<string>
_params
</string>
</key>
<value>
<string>
reference
</string>
</value>
</item>
<item>
<key>
<string>
description
</string>
</key>
<value>
<string>
Handles the ingestion and returns the dictionary with the corresponding references.
</string>
</value>
</item>
<item>
<key>
<string>
id
</string>
</key>
<value>
<string>
HandleFifEmbulkIngestion
</string>
</value>
</item>
<item>
<key>
<string>
portal_type
</string>
</key>
<value>
<string>
PyData Script
</string>
</value>
</item>
<item>
<key>
<string>
reference
</string>
</key>
<value>
<string>
HandleFifEmbulkIngestion
</string>
</value>
</item>
<item>
<key>
<string>
title
</string>
</key>
<value>
<string>
Handle Fif Embulk Ingestion
</string>
</value>
</item>
</dictionary>
</pickle>
</record>
</ZopeData>
bt5/erp5_wendelin_data_lake_ingestion/SkinTemplateItem/portal_skins/erp5_wendelin_data_lake/processRawData.xml
deleted
100644 → 0
View file @
7cf9b582
<?xml version="1.0"?>
<ZopeData>
<record
id=
"1"
aka=
"AAAAAAAAAAE="
>
<pickle>
<global
name=
"ExternalMethod"
module=
"Products.ExternalMethod.ExternalMethod"
/>
</pickle>
<pickle>
<dictionary>
<item>
<key>
<string>
_function
</string>
</key>
<value>
<string>
processRawData
</string>
</value>
</item>
<item>
<key>
<string>
_module
</string>
</key>
<value>
<string>
external_process_raw_data
</string>
</value>
</item>
<item>
<key>
<string>
id
</string>
</key>
<value>
<string>
processRawData
</string>
</value>
</item>
<item>
<key>
<string>
title
</string>
</key>
<value>
<string></string>
</value>
</item>
</dictionary>
</pickle>
</record>
</ZopeData>
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