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Léo-Paul Géneau
wendelin
Commits
72a0730d
Commit
72a0730d
authored
May 06, 2020
by
Ivan Tyagov
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Use proper script to get all Data Streams for a Data Set rather than rely on reference. Test it.
parent
eb51cb86
Changes
3
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3 changed files
with
10 additions
and
9 deletions
+10
-9
bt5/erp5_wendelin_data_lake_ingestion/SkinTemplateItem/portal_skins/erp5_wendelin_data_lake/DataSet_getDataStreamList.py
...kins/erp5_wendelin_data_lake/DataSet_getDataStreamList.py
+1
-1
bt5/erp5_wendelin_data_lake_ingestion/SkinTemplateItem/portal_skins/erp5_wendelin_data_lake/getDataStreamList.py
...portal_skins/erp5_wendelin_data_lake/getDataStreamList.py
+6
-7
bt5/erp5_wendelin_data_lake_ingestion/TestTemplateItem/portal_components/test.erp5.testDataLakeIngestion.py
...Item/portal_components/test.erp5.testDataLakeIngestion.py
+3
-1
No files found.
bt5/erp5_wendelin_data_lake_ingestion/SkinTemplateItem/portal_skins/erp5_wendelin_data_lake/DataSet_getDataStreamList.py
View file @
72a0730d
...
@@ -4,7 +4,7 @@
...
@@ -4,7 +4,7 @@
Note: This code is quite computationally costly (for Data Streams having thousands of iles) as it needs to:
Note: This code is quite computationally costly (for Data Streams having thousands of iles) as it needs to:
1. Query MariaDB to find ingestion lines
1. Query MariaDB to find ingestion lines
2. Read from ZODB both Data Ingestion Lines and Data Streams (wh
o
ch itself can be big too)
2. Read from ZODB both Data Ingestion Lines and Data Streams (wh
i
ch itself can be big too)
"""
"""
data_ingestion_line_list
=
context
.
portal_catalog
(
data_ingestion_line_list
=
context
.
portal_catalog
(
portal_type
=
"Data Ingestion Line"
,
portal_type
=
"Data Ingestion Line"
,
...
...
bt5/erp5_wendelin_data_lake_ingestion/SkinTemplateItem/portal_skins/erp5_wendelin_data_lake/getDataStreamList.py
View file @
72a0730d
"""
This script is called from ebulk client to get list of Data Streams for a
Data set.
"""
import
re
import
re
import
json
import
json
from
Products.ERP5Type.Log
import
log
from
Products.ERP5Type.Log
import
log
...
@@ -20,14 +25,8 @@ data_set = portal.data_set_module.get(data_set_reference)
...
@@ -20,14 +25,8 @@ data_set = portal.data_set_module.get(data_set_reference)
if
data_set
is
None
:
if
data_set
is
None
:
return
[]
return
[]
# XXX: use DataSet_getDataStreamList instead!
query_dict
=
{
"portal_type"
:
"Data Stream"
,
"reference"
:
data_set
.
getReference
()
+
reference_separator
+
"%"
}
data_stream_list
=
[]
data_stream_list
=
[]
for
stream
in
data_set
.
DataSet_getDataStreamList
():
for
stream
in
portal_catalog
(
**
query_dict
):
if
stream
.
getVersion
()
==
""
:
if
stream
.
getVersion
()
==
""
:
return
{
"status_code"
:
2
,
"result"
:
[]
}
return
{
"status_code"
:
2
,
"result"
:
[]
}
data_stream_list
.
append
({
'id'
:
'data_stream_module/'
+
stream
.
getId
(),
data_stream_list
.
append
({
'id'
:
'data_stream_module/'
+
stream
.
getId
(),
...
...
bt5/erp5_wendelin_data_lake_ingestion/TestTemplateItem/portal_components/test.erp5.testDataLakeIngestion.py
View file @
72a0730d
...
@@ -84,7 +84,6 @@ class TestDataIngestion(SecurityTestCase):
...
@@ -84,7 +84,6 @@ class TestDataIngestion(SecurityTestCase):
def
ingest
(
self
,
data_chunk
,
reference
,
extension
,
eof
,
randomize_ingestion_reference
=
False
):
def
ingest
(
self
,
data_chunk
,
reference
,
extension
,
eof
,
randomize_ingestion_reference
=
False
):
ingestion_reference
=
self
.
getIngestionReference
(
reference
,
extension
,
randomize_ingestion_reference
)
ingestion_reference
=
self
.
getIngestionReference
(
reference
,
extension
,
randomize_ingestion_reference
)
self
.
portal
.
log
(
ingestion_reference
)
# use default ebulk policy
# use default ebulk policy
ingestion_policy
=
self
.
portal
.
portal_ingestion_policies
.
wendelin_embulk
ingestion_policy
=
self
.
portal
.
portal_ingestion_policies
.
wendelin_embulk
...
@@ -197,6 +196,9 @@ class TestDataIngestion(SecurityTestCase):
...
@@ -197,6 +196,9 @@ class TestDataIngestion(SecurityTestCase):
"""
"""
data_set
,
data_stream_list
=
self
.
stepIngest
(
self
.
CSV
,
","
,
randomize_ingestion_reference
=
True
)
data_set
,
data_stream_list
=
self
.
stepIngest
(
self
.
CSV
,
","
,
randomize_ingestion_reference
=
True
)
self
.
tic
()
self
.
tic
()
# check data relation between Data Set and Data Streams work
self
.
assertSameSet
(
data_stream_list
,
data_set
.
DataSet_getDataStreamList
())
# publish data set and have all Data Streams publsihed automatically
# publish data set and have all Data Streams publsihed automatically
data_set
.
publish
()
data_set
.
publish
()
...
...
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