Skip to content
Projects
Groups
Snippets
Help
Loading...
Help
Support
Keyboard shortcuts
?
Submit feedback
Contribute to GitLab
Sign in / Register
Toggle navigation
T
telecom
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
Roque
telecom
Commits
246539e8
Commit
246539e8
authored
Sep 10, 2018
by
Roque Porchetto
Browse files
Options
Browse Files
Download
Email Patches
Plain Diff
erp5_wendelin_telecom_ingestion: update ebulk tool download files
parent
4d9cd0c0
Changes
6
Hide whitespace changes
Inline
Side-by-side
Showing
6 changed files
with
1031 additions
and
736093 deletions
+1031
-736093
bt5/erp5_wendelin_telecom_ingestion/PathTemplateItem/data_stream_module/embulk_download_rpm.xml
...thTemplateItem/data_stream_module/embulk_download_rpm.xml
+693
-0
bt5/erp5_wendelin_telecom_ingestion/PathTemplateItem/data_stream_module/embulk_download_script.xml
...emplateItem/data_stream_module/embulk_download_script.xml
+329
-321
bt5/erp5_wendelin_telecom_ingestion/PathTemplateItem/data_stream_module/embulk_download_script_win.xml
...ateItem/data_stream_module/embulk_download_script_win.xml
+6
-735772
bt5/erp5_wendelin_telecom_ingestion/bt/template_keep_last_workflow_history_only_path_list
...ion/bt/template_keep_last_workflow_history_only_path_list
+1
-0
bt5/erp5_wendelin_telecom_ingestion/bt/template_keep_workflow_path_list
...lin_telecom_ingestion/bt/template_keep_workflow_path_list
+1
-0
bt5/erp5_wendelin_telecom_ingestion/bt/template_path_list
bt5/erp5_wendelin_telecom_ingestion/bt/template_path_list
+1
-0
No files found.
bt5/erp5_wendelin_telecom_ingestion/PathTemplateItem/data_stream_module/embulk_download_rpm.xml
0 → 100644
View file @
246539e8
<?xml version="1.0"?>
<ZopeData>
<record
id=
"1"
aka=
"AAAAAAAAAAE="
>
<pickle>
<global
name=
"Data Stream"
module=
"erp5.portal_type"
/>
</pickle>
<pickle>
<dictionary>
<item>
<key>
<string>
_Access_contents_information_Permission
</string>
</key>
<value>
<tuple>
<string>
Assignee
</string>
<string>
Assignor
</string>
<string>
Associate
</string>
<string>
Auditor
</string>
<string>
Author
</string>
<string>
Manager
</string>
<string>
Owner
</string>
</tuple>
</value>
</item>
<item>
<key>
<string>
_Add_portal_content_Permission
</string>
</key>
<value>
<tuple>
<string>
Assignee
</string>
<string>
Assignor
</string>
<string>
Associate
</string>
<string>
Author
</string>
<string>
Manager
</string>
<string>
Owner
</string>
</tuple>
</value>
</item>
<item>
<key>
<string>
_EtagSupport__etag
</string>
</key>
<value>
<string>
ts36571471.16
</string>
</value>
</item>
<item>
<key>
<string>
_Modify_portal_content_Permission
</string>
</key>
<value>
<tuple>
<string>
Assignee
</string>
<string>
Assignor
</string>
<string>
Associate
</string>
<string>
Author
</string>
<string>
Manager
</string>
<string>
Owner
</string>
</tuple>
</value>
</item>
<item>
<key>
<string>
_View_Permission
</string>
</key>
<value>
<tuple>
<string>
Assignee
</string>
<string>
Assignor
</string>
<string>
Associate
</string>
<string>
Auditor
</string>
<string>
Author
</string>
<string>
Manager
</string>
<string>
Owner
</string>
</tuple>
</value>
</item>
<item>
<key>
<string>
data
</string>
</key>
<value>
<persistent>
<string
encoding=
"base64"
>
AAAAAAAAAAI=
</string>
</persistent>
</value>
</item>
<item>
<key>
<string>
default_reference
</string>
</key>
<value>
<string>
embulk_download_rpm
</string>
</value>
</item>
<item>
<key>
<string>
description
</string>
</key>
<value>
<none/>
</value>
</item>
<item>
<key>
<string>
filename
</string>
</key>
<value>
<string>
ebulk-v1.0.0-0.noarch.rpm
</string>
</value>
</item>
<item>
<key>
<string>
id
</string>
</key>
<value>
<string>
embulk_download_rpm
</string>
</value>
</item>
<item>
<key>
<string>
language
</string>
</key>
<value>
<none/>
</value>
</item>
<item>
<key>
<string>
portal_type
</string>
</key>
<value>
<string>
Data Stream
</string>
</value>
</item>
<item>
<key>
<string>
size
</string>
</key>
<value>
<int>
21652
</int>
</value>
</item>
<item>
<key>
<string>
title
</string>
</key>
<value>
<string>
Embulk Download RPM
</string>
</value>
</item>
<item>
<key>
<string>
version
</string>
</key>
<value>
<string>
001
</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=
"BTreeData"
module=
"Products.ERP5Type.BTreeData"
/>
</pickle>
<pickle>
<dictionary>
<item>
<key>
<string>
_chunk_size
</string>
</key>
<value>
<none/>
</value>
</item>
<item>
<key>
<string>
_max_chunk_size
</string>
</key>
<value>
<none/>
</value>
</item>
<item>
<key>
<string>
_tree
</string>
</key>
<value>
<persistent>
<string
encoding=
"base64"
>
AAAAAAAAAAQ=
</string>
</persistent>
</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>
edit_workflow
</string>
</key>
<value>
<persistent>
<string
encoding=
"base64"
>
AAAAAAAAAAU=
</string>
</persistent>
</value>
</item>
<item>
<key>
<string>
validation_workflow
</string>
</key>
<value>
<persistent>
<string
encoding=
"base64"
>
AAAAAAAAAAY=
</string>
</persistent>
</value>
</item>
</dictionary>
</value>
</item>
</dictionary>
</pickle>
</record>
<record
id=
"4"
aka=
"AAAAAAAAAAQ="
>
<pickle>
<global
name=
"LOBTree"
module=
"BTrees.LOBTree"
/>
</pickle>
<pickle>
<tuple>
<tuple>
<tuple>
<tuple>
<int>
0
</int>
<persistent>
<string
encoding=
"base64"
>
AAAAAAAAAAc=
</string>
</persistent>
</tuple>
</tuple>
</tuple>
</tuple>
</pickle>
</record>
<record
id=
"5"
aka=
"AAAAAAAAAAU="
>
<pickle>
<global
name=
"WorkflowHistoryList"
module=
"Products.ERP5Type.patches.WorkflowTool"
/>
</pickle>
<pickle>
<tuple>
<none/>
<list>
<dictionary>
<item>
<key>
<string>
action
</string>
</key>
<value>
<string>
edit
</string>
</value>
</item>
<item>
<key>
<string>
actor
</string>
</key>
<value>
<string>
zope
</string>
</value>
</item>
<item>
<key>
<string>
comment
</string>
</key>
<value>
<none/>
</value>
</item>
<item>
<key>
<string>
error_message
</string>
</key>
<value>
<string></string>
</value>
</item>
<item>
<key>
<string>
serial
</string>
</key>
<value>
<string>
970.10964.24695.64307
</string>
</value>
</item>
<item>
<key>
<string>
state
</string>
</key>
<value>
<string>
current
</string>
</value>
</item>
<item>
<key>
<string>
time
</string>
</key>
<value>
<object>
<klass>
<global
name=
"DateTime"
module=
"DateTime.DateTime"
/>
</klass>
<tuple>
<none/>
</tuple>
<state>
<tuple>
<float>
1536571471.16
</float>
<string>
UTC
</string>
</tuple>
</state>
</object>
</value>
</item>
</dictionary>
</list>
</tuple>
</pickle>
</record>
<record
id=
"6"
aka=
"AAAAAAAAAAY="
>
<pickle>
<global
name=
"WorkflowHistoryList"
module=
"Products.ERP5Type.patches.WorkflowTool"
/>
</pickle>
<pickle>
<tuple>
<none/>
<list>
<dictionary>
<item>
<key>
<string>
action
</string>
</key>
<value>
<none/>
</value>
</item>
<item>
<key>
<string>
actor
</string>
</key>
<value>
<string>
zope
</string>
</value>
</item>
<item>
<key>
<string>
comment
</string>
</key>
<value>
<string></string>
</value>
</item>
<item>
<key>
<string>
error_message
</string>
</key>
<value>
<string></string>
</value>
</item>
<item>
<key>
<string>
time
</string>
</key>
<value>
<object>
<klass>
<global
name=
"DateTime"
module=
"DateTime.DateTime"
/>
</klass>
<tuple>
<none/>
</tuple>
<state>
<tuple>
<float>
1536571439.37
</float>
<string>
UTC
</string>
</tuple>
</state>
</object>
</value>
</item>
<item>
<key>
<string>
validation_state
</string>
</key>
<value>
<string>
draft
</string>
</value>
</item>
</dictionary>
</list>
</tuple>
</pickle>
</record>
<record
id=
"7"
aka=
"AAAAAAAAAAc="
>
<pickle>
<global
name=
"PersistentString"
module=
"Products.ERP5Type.BTreeData"
/>
</pickle>
<pickle>
<string
encoding=
"base64"
>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==
</string>
</pickle>
</record>
</ZopeData>
bt5/erp5_wendelin_telecom_ingestion/PathTemplateItem/data_stream_module/embulk_download_script.xml
View file @
246539e8
...
@@ -31,7 +31,7 @@
...
@@ -31,7 +31,7 @@
</item>
</item>
<item>
<item>
<key>
<string>
_EtagSupport__etag
</string>
</key>
<key>
<string>
_EtagSupport__etag
</string>
</key>
<value>
<string>
ts3
1397521.11
</string>
</value>
<value>
<string>
ts3
6581023.75
</string>
</value>
</item>
</item>
<item>
<item>
<key>
<string>
_Modify_portal_content_Permission
</string>
</key>
<key>
<string>
_Modify_portal_content_Permission
</string>
</key>
...
@@ -74,7 +74,7 @@
...
@@ -74,7 +74,7 @@
</item>
</item>
<item>
<item>
<key>
<string>
filename
</string>
</key>
<key>
<string>
filename
</string>
</key>
<value>
<string>
ebulk
_v2.2.zip
</string>
</value>
<value>
<string>
ebulk
.tar.gz
</string>
</value>
</item>
</item>
<item>
<item>
<key>
<string>
id
</string>
</key>
<key>
<string>
id
</string>
</key>
...
@@ -92,7 +92,7 @@
...
@@ -92,7 +92,7 @@
</item>
</item>
<item>
<item>
<key>
<string>
size
</string>
</key>
<key>
<string>
size
</string>
</key>
<value>
<int>
1
7989
</int>
</value>
<value>
<int>
1
8423
</int>
</value>
</item>
</item>
<item>
<item>
<key>
<string>
title
</string>
</key>
<key>
<string>
title
</string>
</key>
...
@@ -212,7 +212,7 @@
...
@@ -212,7 +212,7 @@
</item>
</item>
<item>
<item>
<key>
<string>
serial
</string>
</key>
<key>
<string>
serial
</string>
</key>
<value>
<string>
9
68.35754.18802.4505
</string>
</value>
<value>
<string>
9
70.11123.47789.15581
</string>
</value>
</item>
</item>
<item>
<item>
<key>
<string>
state
</string>
</key>
<key>
<string>
state
</string>
</key>
...
@@ -230,7 +230,7 @@
...
@@ -230,7 +230,7 @@
</tuple>
</tuple>
<state>
<state>
<tuple>
<tuple>
<float>
153
1397521.12
</float>
<float>
153
6581030.31
</float>
<string>
UTC
</string>
<string>
UTC
</string>
</tuple>
</tuple>
</state>
</state>
...
@@ -299,321 +299,329 @@
...
@@ -299,321 +299,329 @@
<pickle>
<pickle>
<global
name=
"PersistentString"
module=
"Products.ERP5Type.BTreeData"
/>
<global
name=
"PersistentString"
module=
"Products.ERP5Type.BTreeData"
/>
</pickle>
</pickle>
<pickle>
<string
encoding=
"base64"
>
UEsDBBQDAAAAADpw7EwAAAAAAAAAAAAAAAALAAAAZWJ1bGtfdG9vbC9QSwMEFAMAAAgA63jbTNsS
<pickle>
<string
encoding=
"base64"
>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</string>
</pickle>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</string>
</pickle>
</record>
</record>
</ZopeData>
</ZopeData>
bt5/erp5_wendelin_telecom_ingestion/PathTemplateItem/data_stream_module/embulk_download_script_win.xml
View file @
246539e8
This source diff could not be displayed because it is too large. You can
view the blob
instead.
bt5/erp5_wendelin_telecom_ingestion/bt/template_keep_last_workflow_history_only_path_list
View file @
246539e8
...
@@ -11,6 +11,7 @@ portal_categories/function/**
...
@@ -11,6 +11,7 @@ portal_categories/function/**
portal_categories/use/big_data/ingestion/batch_ingestion
portal_categories/use/big_data/ingestion/batch_ingestion
data_stream_module/embulk_download_script
data_stream_module/embulk_download_script
data_stream_module/embulk_download_script_win
data_stream_module/embulk_download_script_win
data_stream_module/embulk_download_rpm
data_stream_module/mne_sample_for_test
data_stream_module/mne_sample_for_test
data_stream_module/mne_sample_for_test_nii
data_stream_module/mne_sample_for_test_nii
data_stream_module/mne_sample_for_test_nii_gz
data_stream_module/mne_sample_for_test_nii_gz
\ No newline at end of file
bt5/erp5_wendelin_telecom_ingestion/bt/template_keep_workflow_path_list
View file @
246539e8
...
@@ -11,6 +11,7 @@ portal_categories/function/**
...
@@ -11,6 +11,7 @@ portal_categories/function/**
portal_categories/use/big_data/ingestion/batch_ingestion
portal_categories/use/big_data/ingestion/batch_ingestion
data_stream_module/embulk_download_script
data_stream_module/embulk_download_script
data_stream_module/embulk_download_script_win
data_stream_module/embulk_download_script_win
data_stream_module/embulk_download_rpm
data_stream_module/mne_sample_for_test
data_stream_module/mne_sample_for_test
data_stream_module/mne_sample_for_test_nii
data_stream_module/mne_sample_for_test_nii
data_stream_module/mne_sample_for_test_nii_gz
data_stream_module/mne_sample_for_test_nii_gz
\ No newline at end of file
bt5/erp5_wendelin_telecom_ingestion/bt/template_path_list
View file @
246539e8
...
@@ -3,6 +3,7 @@ data_operation_module/transform_fif
...
@@ -3,6 +3,7 @@ data_operation_module/transform_fif
data_product_module/fif_array
data_product_module/fif_array
data_product_module/fif_data
data_product_module/fif_data
data_product_module/fif_descriptor
data_product_module/fif_descriptor
data_stream_module/embulk_download_rpm
data_stream_module/embulk_download_script
data_stream_module/embulk_download_script
data_stream_module/embulk_download_script_win
data_stream_module/embulk_download_script_win
data_stream_module/mne_sample_for_test
data_stream_module/mne_sample_for_test
...
...
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