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Commit 835f2f72 authored by Ivan Tyagov's avatar Ivan Tyagov
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Typo.

parent 36b9263f
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    bt5/erp5_wendelin/TestTemplateItem/portal_components/test.erp5.testWendelin.py
    View file @ 835f2f72
    ......@@ -162,7 +162,7 @@ class Test(ERP5TypeTestCase):
    real_data = '\n'.join(number_string_list)
    data_stream = portal.data_stream_module.newContent(
    portal_type = 'Data Stream',f
    portal_type = 'Data Stream',
    reference = reference)
    data_stream.appendData(real_data)
    data_stream.validate()
    ......
    bt5/erp5_wendelin/TestTemplateItem/portal_components/test.erp5.testWendelin.xml
    View file @ 835f2f72
    ......@@ -6,12 +6,6 @@
    </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>testWendelin</string> </value>
    ......@@ -39,9 +33,7 @@
    <item>
    <key> <string>text_content_error_message</string> </key>
    <value>
    <tuple>
    <string>E:166, 0: invalid syntax (syntax-error)</string>
    </tuple>
    <tuple/>
    </value>
    </item>
    <item>
    ......@@ -57,929 +49,13 @@
    <item>
    <key> <string>workflow_history</string> </key>
    <value>
    <persistent> <string encoding="base64">AAAAAAAAAAM=</string> </persistent>
    <persistent> <string encoding="base64">AAAAAAAAAAI=</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>
    <item>
    <key> <string>text_content</string> </key>
    <value> <string encoding="cdata"><![CDATA[
    ##############################################################################\n
    #\n
    # Copyright (c) 2002-2015 Nexedi SA and Contributors. All Rights Reserved.\n
    #\n
    # This program is free software: you can Use, Study, Modify and Redistribute\n
    # it under the terms of the GNU General Public License version 3, or (at your\n
    # option) any later version, as published by the Free Software Foundation.\n
    #\n
    # You can also Link and Combine this program with other software covered by\n
    # the terms of any of the Free Software licenses or any of the Open Source\n
    # Initiative approved licenses and Convey the resulting work. Corresponding\n
    # source of such a combination shall include the source code for all other\n
    # software used.\n
    #\n
    # This program is distributed WITHOUT ANY WARRANTY; without even the implied\n
    # warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.\n
    #\n
    # See COPYING file for full licensing terms.\n
    # See https://www.nexedi.com/licensing for rationale and options.\n
    #\n
    ##############################################################################\n
    \n
    from cStringIO import StringIO\n
    import base64\n
    import binascii\n
    from httplib import NO_CONTENT\n
    import msgpack\n
    import numpy as np\n
    import string\n
    import random\n
    import struct\n
    import textwrap\n
    import urllib\n
    import uuid\n
    from zExceptions import BadRequest\n
    \n
    from Products.ERP5Type.tests.ERP5TypeTestCase import ERP5TypeTestCase\n
    from Products.ERP5Type.tests.utils import createZODBPythonScript, removeZODBPythonScript\n
    from wendelin.bigarray.array_zodb import ZBigArray\n
    \n
    from App.version_txt import getZopeVersion\n
    if getZopeVersion() < (4, ): # BBB Zope2\n
    # Zope set http status code 204 for empty response, but\n
    # on Zope 2 this is not correctly reflected in ERP5TypeTestCase.publish,\n
    # for such responses the status is set to 200 (but for "real" requests\n
    # it is set to 204, this only affected the testing)\n
    NO_CONTENT = 200\n
    \n
    \n
    def getRandomString():\n
    return \'test_%s\' %\'\'.join([random.choice(string.ascii_letters + string.digits) \\\n
    for _ in xrange(32)])\n
    \n
    def chunks(l, n):\n
    """Yield successive n-sized chunks from l."""\n
    for i in xrange(0, len(l), n):\n
    yield l[i:i+n]\n
    \n
    class Test(ERP5TypeTestCase):\n
    """\n
    Wendelin Test\n
    """\n
    \n
    def getTitle(self):\n
    return "Wendelin Test"\n
    \n
    def createAndRunScript(self, code, expected=None):\n
    # we do not care the script name for security test thus use uuid1\n
    name = str(uuid.uuid1())\n
    script_container = self.portal.portal_skins.custom\n
    try:\n
    createZODBPythonScript(script_container, name, \'**kw\', textwrap.dedent(code))\n
    self.assertEqual(getattr(self.portal, name)(), expected)\n
    finally:\n
    removeZODBPythonScript(script_container, name)\n
    \n
    def test_01_IngestionFromFluentd(self, old_fluentd=False):\n
    """\n
    Test ingestion using a POST Request containing a msgpack encoded message\n
    simulating input from fluentd.\n
    """\n
    portal = self.portal\n
    \n
    # add brand new ingestion\n
    reference = getRandomString()\n
    ingestion_policy, data_supply, _ = portal.portal_ingestion_policies.IngestionPolicyTool_addIngestionPolicy(\n
    reference = reference,\n
    title = reference,\n
    batch_mode=1)\n
    self.tic()\n
    \n
    number_string_list = []\n
    for my_list in list(chunks(range(0, 100001), 10)):\n
    number_string_list.append(\',\'.join([str(x) for x in my_list]))\n
    real_data = \'\\n\'.join(number_string_list)\n
    # make sure real_data tail is also a full line\n
    real_data += \'\\n\'\n
    \n
    # simulate fluentd\n
    body = msgpack.packb([0, real_data], use_bin_type=True)\n
    if old_fluentd:\n
    env = {\'CONTENT_TYPE\': \'application/x-www-form-urlencoded\'}\n
    body = urllib.urlencode({\'data_chunk\': body})\n
    else:\n
    env = {\'CONTENT_TYPE\': \'application/octet-stream\'}\n
    path = ingestion_policy.getPath() + \'/ingest?reference=\' + reference\n
    publish_kw = dict(user=\'ERP5TypeTestCase\', env=env,\n
    request_method=\'POST\', stdin=StringIO(body))\n
    response = self.publish(path, **publish_kw)\n
    self.assertEqual(NO_CONTENT, response.getStatus())\n
    # at every ingestion if no specialised Data Ingestion exists it is created\n
    # thus it is needed to wait for server side activities to be processed\n
    self.tic()\n
    \n
    # get related Data ingestion\n
    data_ingestion = data_supply.Base_getRelatedObjectList(portal_type=\'Data Ingestion\')[0]\n
    self.assertNotEqual(None, data_ingestion)\n
    data_ingestion_line = [x for x in data_ingestion.objectValues() if x.getReference() == \'out_stream\'][0]\n
    \n
    data_stream = data_ingestion_line.getAggregateValue()\n
    self.assertEqual(\'Data Stream\', data_stream.getPortalType())\n
    \n
    data_stream_data = data_stream.getData()\n
    self.assertEqual(real_data, data_stream_data)\n
    \n
    # try sample transformation\n
    data_array = portal.data_array_module.newContent(\n
    portal_type = \'Data Array\',\n
    reference = reference)\n
    data_array.validate()\n
    self.tic()\n
    \n
    data_stream.DataStream_transform(\\\n
    chunk_length = 10450, \\\n
    transform_script_id = \'DataStream_copyCSVToDataArray\',\n
    data_array_reference = reference)\n
    self.tic()\n
    \n
    # test that extracted array contains same values as input CSV\n
    zarray = data_array.getArray()\n
    self.assertEqual(np.average(zarray), np.average(np.arange(100001)))\n
    self.assertTrue(np.array_equal(zarray, np.arange(100001)))\n
    \n
    # clean up\n
    data_array.invalidate()\n
    data_stream.setData(None)\n
    self.tic()\n
    \n
    def test_01_1_IngestionFromOldFluentd(self):\n
    self.test_01_IngestionFromFluentd(True)\n
    \n
    def test_01_02_ParallelTransformation(self):\n
    """\n
    test parallel execution.\n
    Note: determining row length is important in this case\n
    """\n
    portal = self.portal\n
    reference = getRandomString()\n
    \n
    row = \',\'.join([\'%s\' %x for x in range(1000)])\n
    number_string_list = [row]*20\n
    real_data = \'\\n\'.join(number_string_list)\n
    \n
    data_stream = portal.data_stream_module.newContent(\n
    portal_type = \'Data Stream\',\n
    reference = reference)\n
    data_stream.appendData(real_data)\n
    data_stream.validate()\n
    data_array = portal.data_array_module.newContent(\n
    portal_type = \'Data Array\',\n
    reference = reference)\n
    data_array.validate()\n
    self.tic()\n
    \n
    data_stream.DataStream_transform(\\\n
    chunk_length = len(row), \\\n
    transform_script_id = \'DataStream_copyCSVToDataArray\',\n
    data_array_reference = reference,\n
    parallelize = 1)\n
    \n
    self.tic()\n
    \n
    def test_02_Examples(self):\n
    """\n
    Test we can use python scientific libraries by using directly created\n
    Wendelin examples.\n
    """\n
    portal = self.portal\n
    portal.game_of_life()\n
    portal.game_of_life_out_of_core()\n
    portal.game_of_life_out_of_core_activities()\n
    \n
    def test_03_DataArray(self):\n
    """\n
    Test persistently saving a ZBig Array to a Data Array.\n
    """\n
    data_array = self.portal.data_array_module.newContent( \\\n
    portal_type = \'Data Array\')\n
    self.assertEqual(None, data_array.getArray())\n
    data_array.initArray((3, 3), np.uint8)\n
    self.tic()\n
    \n
    # test array stored and we return ZBig Array instance\n
    persistent_zbig_array = data_array.getArray()\n
    self.assertEqual(ZBigArray, persistent_zbig_array.__class__)\n
    \n
    # try to resize its numpy "view" and check that persistent one is not saved\n
    # as these are differerent objects\n
    pure_numpy_array = persistent_zbig_array[:,:] # ZBigArray -> ndarray view of it\n
    pure_numpy_array = np.resize(pure_numpy_array, (4, 4))\n
    self.assertNotEquals(pure_numpy_array.shape, persistent_zbig_array.shape)\n
    \n
    # test copy numpy -> wendelin but first resize persistent one (add new one)\n
    data_array.initArray((4, 4), np.uint8)\n
    persistent_zbig_array = data_array.getArray()\n
    new_array = np.arange(1,17).reshape((4,4))\n
    persistent_zbig_array[:,:] = new_array\n
    self.assertEquals(new_array.shape, persistent_zbig_array.shape)\n
    self.assertTrue(np.array_equal(new_array, persistent_zbig_array))\n
    \n
    # test set element in zbig array\n
    persistent_zbig_array[:2, 2] = 0\n
    self.assertFalse(np.array_equal(new_array, persistent_zbig_array))\n
    \n
    # resize Zbig Array\n
    persistent_zbig_array = np.resize(persistent_zbig_array, (100,100))\n
    self.assertNotEquals(pure_numpy_array.shape, persistent_zbig_array.shape)\n
    \n
    # get array slice (fails)\n
    data_array = self.portal.data_array_module.newContent( \\\n
    portal_type = \'Data Array\')\n
    shape = (1000,)\n
    data_array.initArray(shape, np.uint8)\n
    self.tic()\n
    \n
    persistent_zbig_array = data_array.getArray()\n
    new_array = np.arange(1000)\n
    new_array.resize(shape)\n
    \n
    self.assertEquals(new_array.shape, persistent_zbig_array.shape)\n
    \n
    persistent_zbig_array[:,] = new_array\n
    self.tic()\n
    \n
    self.assertTrue(\n
    np.array_equal(data_array.getArraySlice(0,100), \\\n
    new_array[:100]))\n
    \n
    def test_04_DataBucket(self):\n
    """\n
    Test data bucket\n
    """\n
    bucket_stream = self.portal.data_stream_module.newContent( \\\n
    portal_type = \'Data Bucket Stream\')\n
    self.tic()\n
    \n
    self.assertEqual(0, len(bucket_stream))\n
    \n
    # test set and get\n
    bin_string = "1"*100000\n
    key = len(bucket_stream) + 1\n
    bucket_stream.insertBucket(key, bin_string )\n
    self.assertEqual(bin_string, bucket_stream.getBucketByKey(key))\n
    \n
    # test sequence\n
    self.assertEqual(1, len(bucket_stream))\n
    \n
    # test delete bucket by key\n
    bucket_stream.delBucketByKey(key)\n
    self.assertEqual(0, len(bucket_stream))\n
    \n
    # set many buckets\n
    for i in range(100):\n
    bucket_stream.insertBucket(i, i*10000)\n
    \n
    self.assertEqual(100, len(bucket_stream))\n
    self.assertEqual(range(100), bucket_stream.getKeyList())\n
    \n
    # test as sequence\n
    bucket = bucket_stream.getBucketKeyItemSequenceByKey(start_key=10, count=1)[0]\n
    self.assertEqual(100000, bucket[1].value)\n
    \n
    def test_05_DataAnalyses(self):\n
    """\n
    Test data analyses\' default configuration.\n
    By default we have no Data Analyses configured thus test is minimal.\n
    """\n
    self.portal.Alarm_handleAnalysis()\n
    self.tic()\n
    \n
    def test_06_DefaultWendelinConfigurationExistency(self):\n
    """\n
    Test that nobody accidently removes needed by HowTo\'s default configurations.\n
    """\n
    # the default json ingestion is used in HowTo / Docs\n
    self.assertNotEqual(None,\n
    getattr(self.portal.portal_ingestion_policies, "default", None))\n
    self.assertNotEqual(None,\n
    getattr(self.portal.portal_ingestion_policies, "default_ebulk", None))\n
    self.assertNotEqual(None,\n
    getattr(self.portal.portal_ingestion_policies, "default_mqtt", None))\n
    self.assertNotEqual(None,\n
    getattr(self.portal.data_supply_module, "default", None))\n
    self.assertNotEqual(None,\n
    getattr(self.portal.data_supply_module, "default_ebulk", None))\n
    self.assertNotEqual(None,\n
    getattr(self.portal.data_supply_module, "default_mqtt", None))\n
    \n
    def test_07_LinkedDataStreamList(self):\n
    """\n
    Test linked Data Streams\n
    """\n
    data_stream_1 = self.portal.data_stream_module.newContent(title = "Data Stream 1", \\\n
    portal_type = "Data Stream")\n
    data_stream_2 = self.portal.data_stream_module.newContent(title = "Data Stream 2", \\\n
    portal_type = "Data Stream")\n
    data_stream_3 = self.portal.data_stream_module.newContent(title = "Data Stream 3", \\\n
    portal_type = "Data Stream")\n
    data_stream_4 = self.portal.data_stream_module.newContent(title = "Data Stream 4", \\\n
    portal_type = "Data Stream")\n
    data_stream_5 = self.portal.data_stream_module.newContent(title = "Data Stream 5", \\\n
    portal_type = "Data Stream")\n
    \n
    # test nothing linked\n
    self.assertSameSet([], data_stream_2.getRecursiveSuccessorValueList())\n
    self.assertSameSet([], data_stream_2.getRecursivePredecessorValueList())\n
    \n
    # set linked data streams (1 <--> 2 <--> 3 <--> 4 <--> 5)\n
    data_stream_1.setSuccessorValue(data_stream_2)\n
    data_stream_2.setSuccessorValue(data_stream_3)\n
    data_stream_3.setSuccessorValue(data_stream_4)\n
    data_stream_4.setSuccessorValue(data_stream_5)\n
    \n
    # set predecessor\n
    data_stream_2.setPredecessorValue(data_stream_1)\n
    data_stream_3.setPredecessorValue(data_stream_2)\n
    data_stream_4.setPredecessorValue(data_stream_3)\n
    data_stream_5.setPredecessorValue(data_stream_4)\n
    \n
    # test successor\n
    self.assertSameSet(data_stream_2.getRecursiveSuccessorValueList(), \\\n
    [data_stream_3, data_stream_4, data_stream_5])\n
    self.assertSameSet(data_stream_5.getRecursiveSuccessorValueList(), \\\n
    [])\n
    \n
    # test predecessor\n
    self.assertSameSet(data_stream_1.getRecursivePredecessorValueList(), \\\n
    [])\n
    self.assertSameSet(data_stream_2.getRecursivePredecessorValueList(), \\\n
    [data_stream_1])\n
    self.assertSameSet(data_stream_5.getRecursivePredecessorValueList(), \\\n
    [data_stream_4, data_stream_3, data_stream_2, data_stream_1])\n
    \n
    def test_08_ImportSklearn(self):\n
    """\n
    Test import of Scikit-learn and minimal example of usage.\n
    """\n
    \n
    from sklearn.linear_model import LinearRegression\n
    X = np.array([[1, 1], [1, 2], [2, 2], [2, 3]])\n
    \n
    # y = 1 * x_0 + 2 * x_1 + 3\n
    y = np.dot(X, np.array([1, 2])) + 3\n
    \n
    reg = LinearRegression().fit(X, y)\n
    predicted = reg.predict(np.array([[4, 10]]))\n
    self.assertEqual(predicted.all(),np.array([27.]).all())\n
    \n
    def test_09_IngestionFromFluentdStoreMsgpack(self, old_fluentd=False):\n
    """\n
    Test ingestion using a POST Request containing a msgpack encoded message\n
    simulating input from fluentd.\n
    """\n
    from datetime import datetime\n
    import time\n
    \n
    portal = self.portal\n
    now = datetime.now()\n
    \n
    reference="test_sensor.test_product"\n
    ingestion_policy = portal.portal_ingestion_policies[\'default\']\n
    data_supply = portal.data_supply_module["default"]\n
    \n
    data_list = []\n
    int_date = int(time.mktime(now.timetuple()))\n
    real_data = []\n
    \n
    # create data for ingestion in [date, value] format\n
    for x in range(0, 10001):\n
    data_list = []\n
    data_list = [int_date, x]\n
    real_data.append(data_list)\n
    int_date = int_date + 1000\n
    \n
    # simulate fluentd\n
    body = msgpack.packb(real_data, use_bin_type=True)\n
    env = {\'CONTENT_TYPE\': \'application/octet-stream\'}\n
    \n
    path = ingestion_policy.getPath() + \'/ingest?reference=\' + reference\n
    publish_kw = dict(user=\'ERP5TypeTestCase\', env=env,\n
    request_method=\'POST\', stdin=StringIO(body))\n
    response = self.publish(path, **publish_kw)\n
    \n
    self.assertEqual(NO_CONTENT, response.getStatus())\n
    \n
    self.tic()\n
    \n
    # get related Data ingestion\n
    data_ingestion = data_supply.Base_getRelatedObjectList(portal_type=\'Data Ingestion\')[0]\n
    self.assertNotEqual(None, data_ingestion)\n
    data_ingestion_line = [x for x in data_ingestion.objectValues() if x.getReference() == \'out_stream\'][0]\n
    \n
    data_stream = data_ingestion_line.getAggregateValue()\n
    self.assertEqual(\'Data Stream\', data_stream.getPortalType())\n
    \n
    data_stream_data = data_stream.getData()\n
    # body is msgpacked real data.\n
    self.assertEqual(body, data_stream_data)\n
    \n
    # unpack data\n
    start = 0\n
    end = len(data_stream_data)\n
    unpacked, end = data_stream.readMsgpackChunkList(start, end)\n
    # compare unpacked data with real data\n
    self.assertEqual([real_data], unpacked)\n
    \n
    # extract dates and compare with real dates\n
    f = data_stream.extractDateTime\n
    for i in range(0, len(unpacked[0])):\n
    self.assertEqual(np.datetime64(real_data[i][0], \'s\'), f(unpacked[0][i][0]))\n
    \n
    # clean up\n
    data_stream.setData(None)\n
    self.tic()\n
    \n
    def _removeDocument(self, document_to_remove):\n
    path = document_to_remove.getRelativeUrl()\n
    container, _, object_id = path.rpartition(\'/\')\n
    parent = self.portal.unrestrictedTraverse(container)\n
    parent.manage_delObjects([object_id])\n
    self.commit()\n
    \n
    def _addDataIngestionToDataSupply(self, data_supply):\n
    portal = self.portal\n
    \n
    data_supply_line = data_supply.objectValues()[0]\n
    data_ingestion = portal.data_ingestion_module.newContent(\n
    portal_type="Data Ingestion",\n
    title="TestDI_%s" % data_supply.getTitle(),\n
    reference="Test_DI_%s" % data_supply.getTitle(),\n
    specialise=data_supply.getRelativeUrl(),\n
    source=data_supply.getSource(),\n
    source_section=data_supply.getSourceSection(),\n
    destination="organisation_module/test_wendelin_destination",\n
    destination_section="organisation_module/test_wendelin_destination_section",\n
    start_date=data_supply.getCreationDate())\n
    \n
    self.addCleanup(self._removeDocument, data_ingestion)\n
    \n
    data_ingestion.newContent(\n
    portal_type="Data Ingestion Line",\n
    title="Ingest Data",\n
    reference="ingestion_operation",\n
    aggregate=data_supply_line.getSource(),\n
    resource="data_operation_module/wendelin_ingest_data",\n
    int_index=1\n
    )\n
    \n
    data_ingestion.newContent(\n
    portal_type="Data Ingestion Line",\n
    title="test_wendelin_data_product",\n
    reference="out_stream",\n
    aggregate_list=[data_supply_line.getSource(), data_supply_line.getDestination()],\n
    resource="data_product_module/test_wendelin_data_product",\n
    use="use/big_data/ingestion/stream",\n
    quantity=1,\n
    int_index=2\n
    )\n
    \n
    data_ingestion.start()\n
    \n
    return data_ingestion\n
    \n
    def test_10_DataAnalysesCreation(self):\n
    """\n
    Test data ingestion and analyses execution.\n
    """\n
    portal = self.portal\n
    \n
    # test DataSupply_viewAddRelatedDataIngestionActionDialog dialog\n
    # this test code will create a Data Ingestion which itself will\n
    # be used in later tests of ERP5Site_createDataAnalysisList\n
    data_supply = portal.data_supply_module.test_10_DataAnalysesCreation_data_supply\n
    data_ingestion = self._addDataIngestionToDataSupply(data_supply)\n
    \n
    self.assertNotEqual(None, data_ingestion)\n
    self.tic()\n
    \n
    before_data_analysis_list = portal.portal_catalog(\n
    portal_type = "Data Analysis",\n
    simulation_state = "started")\n
    \n
    # create DA from DI\n
    portal.ERP5Site_createDataAnalysisList()\n
    self.tic()\n
    \n
    # check new three Data Arrays created\n
    after_data_analysis_list = portal.portal_catalog(\n
    portal_type = "Data Analysis",\n
    simulation_state = "started")\n
    \n
    before_data_analysis_list = set([x.getObject() for x in before_data_analysis_list])\n
    after_data_analysis_list = set([x.getObject() for x in after_data_analysis_list])\n
    self.assertEqual(1, len(after_data_analysis_list) - len(before_data_analysis_list))\n
    \n
    # check properly created\n
    to_delete_data_analysis = after_data_analysis_list - before_data_analysis_list\n
    \n
    for data_analysis in list(to_delete_data_analysis):\n
    if data_ingestion == data_analysis.getCausalityValue():\n
    to_delete_data_analysis = data_analysis\n
    break\n
    \n
    self.addCleanup(self._removeDocument, to_delete_data_analysis)\n
    \n
    data_transformation = portal.data_transformation_module.test_wendelin_data_transformation\n
    \n
    self.assertEqual(data_ingestion, to_delete_data_analysis.getCausalityValue())\n
    self.assertSameSet(\n
    [data_supply, data_transformation],\n
    to_delete_data_analysis.getSpecialiseValueList()\n
    )\n
    # all lines should be properly created\n
    self.assertEqual(len(data_transformation.objectValues()),\n
    len(to_delete_data_analysis.objectValues()))\n
    self.assertEqual("started", to_delete_data_analysis.getSimulationState())\n
    \n
    def test_11_temporaryDataArray(self):\n
    """\n
    Test if temporary Data Array is functional.\n
    """\n
    portal = self.portal\n
    ndarray = np.array([[0, 1], [2, 3]])\n
    temporary_data_array = portal.data_array_module.newContent(\n
    portal_type=\'Data Array\',\n
    temp_object=True\n
    )\n
    zbigarray = temporary_data_array.initArray(shape=ndarray.shape, dtype=ndarray.dtype)\n
    zbigarray.append(ndarray)\n
    self.assertTrue(np.array_equal(zbigarray[2:], ndarray))\n
    \n
    def test_12_numpyWendelinConversion(self):\n
    """\n
    Test if conversion from numpy arrays to wendelin data works.\n
    """\n
    portal = self.portal\n
    ndarray = np.array([[0, 1], [2, 3]])\n
    wendelin_data = portal.Base_numpyToWendelinData(ndarray)\n
    reconverted_ndarray = portal.Base_wendelinDataToNumpy(wendelin_data)\n
    \n
    self.assertIsInstance(wendelin_data, bytes)\n
    \n
    # Check for header\n
    self.assertEqual(wendelin_data[:4], b\'\\x92WEN\')\n
    \n
    # Test checksum\n
    checksum = struct.unpack(\'<i\', wendelin_data[6:10])[0]\n
    self.assertEqual(checksum, binascii.crc32(wendelin_data[10:]))\n
    \n
    # Test inverse conversion works\n
    self.assertTrue(np.array_equal(ndarray, reconverted_ndarray))\n
    \n
    self.assertTrue(\n
    np.array_equal(\n
    portal.Base_wendelinTextToNumpy(\n
    "kldFTgABq96QqZNOVU1QWQEARgB7J2Rlc2NyJzogJzxmOCcsICdmb3J0cmFuX29yZGVyJzogRmFsc2UsICdzaGFwZSc6ICgwLCksIH0gICAgICAgICAgICAK="\n
    ),\n
    np.array([]),\n
    )\n
    )\n
    \n
    def test_13_unpackLazy(self):\n
    """\n
    Ensure unpackLazy is available and functional in restricted python\n
    """\n
    ingestion_policy_id = "test_13_unpackLazy_IngestionPolicy"\n
    try:\n
    ingestion_policy = self.getPortal().portal_ingestion_policies.newContent(\n
    id=ingestion_policy_id,\n
    title=ingestion_policy_id,\n
    portal_type=\'Ingestion Policy\',\n
    reference=ingestion_policy_id,\n
    version = \'001\',\n
    )\n
    # ingestion_policy still exists from previous failed test run\n
    except BadRequest:\n
    ingestion_policy = self.portal.get(ingestion_policy_id)\n
    \n
    self.assertNotEqual(ingestion_policy, None)\n
    \n
    self.commit()\n
    self.tic()\n
    \n
    self.addCleanup(self._removeDocument, ingestion_policy)\n
    \n
    code = r"""\n
    ingestion_policy = context.portal_ingestion_policies.get("{}")\n
    result = [x for x in ingestion_policy.unpackLazy(\'b"\\x93\\x01\\x02\\x03"\')]\n
    return result\n
    """.format(ingestion_policy_id)\n
    \n
    self.createAndRunScript(code, [98, 34, [1, 2, 3], 34])\n
    \n
    def test_14_IndexSequenceInRestrictedPython(self):\n
    """\n
    Ensure its possible to iterate over return values of DataBucketStream methods\n
    in restricted python.\n
    """\n
    \n
    code = r"""\n
    data_bucket_stream = context.portal_catalog.data_stream_module.newContent(\n
    portal_type=\'Data Bucket Stream\'\n
    )\n
    data_bucket_stream.insertBucket(1, "1" * 100000)\n
    result = [x for x in data_bucket_stream.getBucketIndexKeySequenceByIndex()]\n
    """\n
    \n
    self.createAndRunScript(code)\n
    \n
    def test_15_setArrayDtypeNames(self):\n
    """\n
    Test Data Array method "setArrayDtypeNames"\n
    """\n
    data_array = self.portal.data_array_module.newContent(\n
    portal_type="Data Array"\n
    )\n
    self.addCleanup(self._removeDocument, data_array)\n
    dtype_name0, dtype_name1 = "my_dtype_name", "my_new_dtype_name"\n
    data_array.initArray((3,), np.dtype([(dtype_name0, np.float64)]))\n
    self.assertEqual(data_array.getArrayDtypeNames(), (dtype_name0,))\n
    data_array.setArrayDtypeNames((dtype_name1,))\n
    self.assertEqual(data_array.getArrayDtypeNames(), (dtype_name1,))\n
    \n
    def test_16_createDataAnalysisFromDataTransformationWithoutResolution(self):\n
    """\n
    Ensure data analysis are created from data transformation without any specified\n
    variation categories.\n
    """\n
    portal = self.portal\n
    title_prefix = "Wendelin Test 16"\n
    \n
    test_function_to_organisation = {}\n
    for test_function in ("source", "destination"):\n
    organisation = portal.organisation_module.newContent(\n
    portal_typle="Organisation",\n
    title="%s %s" % (title_prefix, test_function),\n
    )\n
    self.addCleanup(self._removeDocument, organisation)\n
    organisation.validate()\n
    test_function_to_organisation.update({test_function: organisation})\n
    \n
    data_operation = portal.data_operation_module.newContent(\n
    portal_typle="Data Operation",\n
    title="%s Data Operation" % title_prefix,\n
    script_id="DataAnalysisLine_testWendelinConvertAToB",\n
    )\n
    self.addCleanup(self._removeDocument, data_operation)\n
    data_operation.validate()\n
    \n
    resource = portal.data_product_module.newContent(\n
    portal_type="Data Product",\n
    title="%s Data Product" % title_prefix,\n
    individual_variation_base_category_list=["resolution"],\n
    quantity_unit="unit/piece"\n
    )\n
    self.addCleanup(self._removeDocument, resource)\n
    resource.validate()\n
    resource_resolution = resource.newContent(\n
    portal_type="Product Individual Variation",\n
    title="20S",\n
    )\n
    \n
    specialise_data_transformation = portal.data_transformation_module.newContent(\n
    portal_type="Data Transformation",\n
    title="%s Specialise Data Transformation" % title_prefix,\n
    resource=resource.getRelativeUrl(),\n
    )\n
    self.addCleanup(self._removeDocument, specialise_data_transformation)\n
    specialise_data_transformation.validate()\n
    \n
    specialise_data_supply = portal.data_supply_module.newContent(\n
    portal_type="Data Supply",\n
    title="%s Specialise Data Supply" % title_prefix,\n
    )\n
    self.addCleanup(self._removeDocument, specialise_data_supply)\n
    specialise_data_supply.validate()\n
    \n
    initial_data_analysis = portal.data_analysis_module.newContent(\n
    portal_type="Data Analysis",\n
    title="%s Import Raw Data" % title_prefix,\n
    reference="wendelin.test.16.initial.data.analysis",\n
    resource=resource.getRelativeUrl(),\n
    source=test_function_to_organisation[\'source\'].getRelativeUrl(),\n
    destination=test_function_to_organisation[\'destination\'].getRelativeUrl(),\n
    specialise_value_list=[\n
    specialise_data_supply.getRelativeUrl(),\n
    specialise_data_transformation.getRelativeUrl()\n
    ],\n
    )\n
    self.addCleanup(self._removeDocument, initial_data_analysis)\n
    \n
    initial_data_analysis.start()\n
    initial_data_analysis.newContent(\n
    portal_type="Data Analysis Line",\n
    title="Raw Array",\n
    reference="out_array",\n
    resource=resource.getRelativeUrl(),\n
    quantity=1,\n
    quantity_unit="unit/piece",\n
    variation_category_list=[\n
    "resolution/%s" % resource_resolution.getRelativeUrl(),\n
    "resource/%s" % resource.getRelativeUrl(),\n
    ],\n
    use= "use/big_data/ingestion/stream",\n
    )\n
    initial_data_analysis.newContent(\n
    portal_type="Data Analysis Line",\n
    title="Convert A to B",\n
    reference="data_operation",\n
    resource=data_operation.getRelativeUrl(),\n
    quantity=1,\n
    quantity_unit="unit/piece",\n
    )\n
    \n
    data_transformation = portal.data_transformation_module.newContent(\n
    portal_type="Data Transformation",\n
    title="%s Data Transformation" % title_prefix,\n
    resource=resource.getRelativeUrl(),\n
    )\n
    self.addCleanup(self._removeDocument, data_transformation)\n
    data_transformation.validate()\n
    data_transformation.newContent(\n
    portal_type="Data Transformation Operation Line",\n
    title="Convert A to B",\n
    reference="data_operation",\n
    resource=data_operation.getRelativeUrl(),\n
    quantity=1,\n
    quantity_unit="unit/piece",\n
    )\n
    \n
    def getDataAnalysisByTitle(title):\n
    return portal.portal_catalog.getResultValue(\n
    portal_type="Data Analysis",\n
    title=title\n
    )\n
    \n
    data_analysis_title_list = [specialise_data_transformation.getTitle(), data_transformation.getTitle()]\n
    for data_analysis_title in data_analysis_title_list:\n
    self.assertEqual(getDataAnalysisByTitle(data_analysis_title), None)\n
    \n
    self.commit()\n
    self.tic()\n
    \n
    self.portal.portal_alarms.wendelin_handle_analysis.activeSense()\n
    self.tic()\n
    \n
    for data_analysis_title in data_analysis_title_list:\n
    data_analysis = getDataAnalysisByTitle(data_analysis_title)\n
    self.assertNotEqual(data_analysis, None)\n
    self.addCleanup(self._removeDocument, data_analysis)\n
    \n
    def test_17_DataMapping(self):\n
    """\n
    """\n
    portal = self.portal\n
    data_mapping = portal.data_mapping_module.newContent(portal_type=\'Data Mapping\')\n
    self.assertEqual(0, data_mapping.getSize())\n
    data_list = [\n
    (\'/usr/bin/2to3-2.7\', \'3ea002bead53f6bdf7\', \'fade8568285eb14146a7244\', \'f631570af55ee08ecef78f3\'),\n
    (\'/usr/bin/R\', \'b4c48d52345ae2eb7ca0455db\', \'59441ddbc00b6521da571\', \'a92be1a7acc03f3846\'),\n
    (\'/usr/bin/Rscript\', \'e97842e556f90be5f7e5\', \'806725443a01bcae802\',\'1829d887e0c3380ec8f463527\'),\n
    (\'/usr/bin/[\', \'5c348873d0e0abe26d56cc752f0\', \'ebb7ae1a78018b62224\',\'9162fdf5b9598c9e9d\'),\n
    (\'/usr/bin/aa-enabled\', \'c2336b14b7e9d1407d9\', \'c8c7af8e6d14a4d1061\', \'09726542c6c4ca907417c676b4\'),\n
    (\'/usr/bin/aa-exec\', \'7f66cd90da4b27703de299\', \'b4bfe90f53a690deb2687342\', \'ad36c9002fa84d4e86\'),\n
    (\'/usr/bin/aclocal-1.16\', \'6ba134fb4f97d79a5\', \'64e518309fc9544b01c164c2e48\', \'cc4595fba3251aaa9b48\'),\n
    (\'/usr/bin/activate-global-python-argcomplete3\', \'4007899eba237603a\', \'8a2584480e9094f9e4761f7\', \'893ebeeca071795ecd457ed2\'),\n
    (\'/usr/bin/addpart\', \'078a10c409b8b21c3b5137d\', \'481766f1aa1d393e4a3a\', \'668374ce14a57b2dd14bb\'),\n
    (\'/usr/bin/ansible\', \'cb8a161dabae51cf2616c4a85\', \'31173931d09486697c05\', \'00ee4c55e8b46f69a54\'),\n
    (\'/usr/bin/ansible-connection\', \'ffbef34c8d2ae633031f4e8\', \'61cf10e6b6e4ff33c7ded21244\', \'c670ce6af9b645c\'),\n
    (\'/usr/bin/ansible-test\', \'40f528bebb16199d2b11a43b\', \'ea6d8680d833fb36e9548a\', \'a2c1b309b22cd4285a\'),\n
    (\'/usr/bin/appres\', \'7ccb78e306838a87b68d2c\', \'7d089e41ee491fc64b2b\', \'c3e24ec3fee558e9f06bd0\'),\n
    (\'/usr/bin/apt\', \'3ca60d2b26761b7a50d812\', \'8b624ea3f31040bd838dfc\', \'36b5070dd02c87b47512\'),\n
    (\'/usr/bin/apt-cache\', \'f0e82d30aa1d8a80e\', \'7da7f514d8056033c4844a6f0\', \'be07d8cb7140399252c51c\'),\n
    (\'/usr/bin/apt-cdrom\', \'073483cad694b013a1\', \'fb7b20b9450ab7abb4bcc\', \'2ad240a6670f486e2e1da9daa\'),\n
    (\'/usr/bin/apt-config\', \'32856a9a4e703346d6b8\', \'407560704903fb078e45dac\', \'ee559cd54c2a34f3ad3d4\')\n
    ]\n
    data_mapped_list = []\n
    \n
    # each different object return a different value\n
    for data in data_list:\n
    data_mapped_list.append(data_mapping.addObject(data))\n
    self.assertEqual(len(data_mapped_list), len(data_list))\n
    self.assertEqual(len(data_list), data_mapping.getSize())\n
    \n
    # ensure add again same data return always samething\n
    tmp_list = []\n
    for data in data_list:\n
    tmp_list.append(data_mapping.addObject(data))\n
    self.assertEqual(tmp_list, data_mapped_list)\n
    # size still same\n
    self.assertEqual(len(data_list), data_mapping.getSize())\n
    \n
    # ensure we can get original value\n
    for index in range(len(data_mapped_list)):\n
    self.assertEqual(data_mapping.getObjectFromValue(data_mapped_list[index]), data_list[index])\n
    \n
    # ensure we can get mapped value\n
    for index in range(len(data_mapped_list)):\n
    self.assertEqual(data_mapping.getValueFromObject(data_list[index]), data_mapped_list[index])\n
    \n
    # another data list, /usr/bin/2to3-2.7, /usr/bin/appres, /usr/bin/aclocal-1.16 \'s value are different compare to previous data\n
    # so 3 values are different\n
    another_data_list = [\n
    (\'/usr/bin/2to3-2.7\', \'ModifiedValue\', \'fade8568285eb14146a7244\', \'f631570af55ee08ecef78f3\'),\n
    (\'/usr/bin/R\', \'b4c48d52345ae2eb7ca0455db\', \'59441ddbc00b6521da571\', \'a92be1a7acc03f3846\'),\n
    (\'/usr/bin/Rscript\', \'e97842e556f90be5f7e5\', \'806725443a01bcae802\',\'1829d887e0c3380ec8f463527\'),\n
    (\'/usr/bin/[\', \'5c348873d0e0abe26d56cc752f0\', \'ebb7ae1a78018b62224\',\'9162fdf5b9598c9e9d\'),\n
    (\'/usr/bin/aa-enabled\', \'c2336b14b7e9d1407d9\', \'c8c7af8e6d14a4d1061\', \'09726542c6c4ca907417c676b4\'),\n
    (\'/usr/bin/aa-exec\', \'7f66cd90da4b27703de299\', \'b4bfe90f53a690deb2687342\', \'ad36c9002fa84d4e86\'),\n
    (\'/usr/bin/aclocal-1.16\', \'6ba134fb4f97d79a5\', \'ModifiedValue\', \'cc4595fba3251aaa9b48\'),\n
    (\'/usr/bin/activate-global-python-argcomplete3\', \'4007899eba237603a\', \'8a2584480e9094f9e4761f7\', \'893ebeeca071795ecd457ed2\'),\n
    (\'/usr/bin/addpart\', \'078a10c409b8b21c3b5137d\', \'481766f1aa1d393e4a3a\', \'668374ce14a57b2dd14bb\'),\n
    (\'/usr/bin/ansible\', \'cb8a161dabae51cf2616c4a85\', \'31173931d09486697c05\', \'00ee4c55e8b46f69a54\'),\n
    (\'/usr/bin/ansible-connection\', \'ffbef34c8d2ae633031f4e8\', \'61cf10e6b6e4ff33c7ded21244\', \'c670ce6af9b645c\'),\n
    (\'/usr/bin/ansible-test\', \'40f528bebb16199d2b11a43b\', \'ea6d8680d833fb36e9548a\', \'a2c1b309b22cd4285a\'),\n
    (\'/usr/bin/appres\', \'7ccb78e306838a87b68d2c\', \'ModifiedValue\', \'c3e24ec3fee558e9f06bd0\'),\n
    (\'/usr/bin/apt\', \'3ca60d2b26761b7a50d812\', \'8b624ea3f31040bd838dfc\', \'36b5070dd02c87b47512\'),\n
    (\'/usr/bin/apt-cache\', \'f0e82d30aa1d8a80e\', \'7da7f514d8056033c4844a6f0\', \'be07d8cb7140399252c51c\'),\n
    (\'/usr/bin/apt-cdrom\', \'073483cad694b013a1\', \'fb7b20b9450ab7abb4bcc\', \'2ad240a6670f486e2e1da9daa\'),\n
    (\'/usr/bin/apt-config\', \'32856a9a4e703346d6b8\', \'407560704903fb078e45dac\', \'ee559cd54c2a34f3ad3d4\')\n
    ]\n
    \n
    another_data_mapped_list = []\n
    \n
    for data in another_data_list:\n
    another_data_mapped_list.append(data_mapping.addObject(data))\n
    self.assertEqual(len(another_data_mapped_list), len(data_list))\n
    \n
    array = np.array(data_mapped_list)\n
    another_array = np.array(another_data_mapped_list)\n
    # simply call setdiff1d to get the different between two datas\n
    diff_array = np.setdiff1d(another_array, array)\n
    self.assertEqual(diff_array.size, 3)\n
    diff_object_list = []\n
    for value in diff_array:\n
    diff_object_list.append(data_mapping.getObjectFromValue(value))\n
    self.assertEqual(diff_object_list, [(\'/usr/bin/2to3-2.7\', \'ModifiedValue\', \'fade8568285eb14146a7244\', \'f631570af55ee08ecef78f3\'),\n
    (\'/usr/bin/aclocal-1.16\', \'6ba134fb4f97d79a5\', \'ModifiedValue\', \'cc4595fba3251aaa9b48\'),\n
    (\'/usr/bin/appres\', \'7ccb78e306838a87b68d2c\', \'ModifiedValue\', \'c3e24ec3fee558e9f06bd0\')])\n
    # same data value as "another_data_list" but in other format\n
    other_format_data_list = [\n
    [\'/usr/bin/2to3-2.7\', \'ModifiedValue\', \'fade8568285eb14146a7244\', \'f631570af55ee08ecef78f3\'],\n
    [\'/usr/bin/R\', \'b4c48d52345ae2eb7ca0455db\', \'59441ddbc00b6521da571\', \'a92be1a7acc03f3846\'],\n
    [\'/usr/bin/Rscript\', \'e97842e556f90be5f7e5\', \'806725443a01bcae802\',\'1829d887e0c3380ec8f463527\']\n
    ]\n
    other_format_data_mapped_list = []\n
    original_size = data_mapping.getSize()\n
    for data in other_format_data_list:\n
    other_format_data_mapped_list.append(data_mapping.addObject(data))\n
    self.assertEqual(original_size + 3, data_mapping.getSize())\n
    other_format_array = np.array(other_format_data_mapped_list)\n
    # ensure "even data values are same but format is different" is considered different\n
    diff_array = np.setdiff1d(other_format_array, another_array)\n
    self.assertEqual(diff_array.size, 3)\n
    diff_object_list = []\n
    for value in diff_array:\n
    diff_object_list.append(data_mapping.getObjectFromValue(value))\n
    self.assertEqual(diff_object_list, [[\'/usr/bin/2to3-2.7\', \'ModifiedValue\', \'fade8568285eb14146a7244\', \'f631570af55ee08ecef78f3\'],\n
    [\'/usr/bin/R\', \'b4c48d52345ae2eb7ca0455db\', \'59441ddbc00b6521da571\', \'a92be1a7acc03f3846\'],\n
    [\'/usr/bin/Rscript\', \'e97842e556f90be5f7e5\', \'806725443a01bcae802\',\'1829d887e0c3380ec8f463527\']])\n
    \n
    \n
    def test_18_wendelinTextToNumpySecurity(self):\n
    """\n
    Test that we do not load pickles when converting encoded wendelin data to numpy.\n
    """\n
    portal = self.portal\n
    ndarray = np.array([[0, 1], [2, object()]])\n
    wendelin_text = base64.b64encode(portal.Base_numpyToWendelinData(ndarray))\n
    self.assertRaises(ValueError,\n
    portal.Base_wendelinTextToNumpy,\n
    wendelin_text)\n
    ]]></string> </value>
    </item>
    </dictionary>
    </value>
    </item>
    </dictionary>
    </pickle>
    </record>
    <record id="3" aka="AAAAAAAAAAM=">
    <pickle>
    <global name="PersistentMapping" module="Persistence.mapping"/>
    </pickle>
    ......@@ -992,7 +68,7 @@ result = [x for x in data_bucket_stream.getBucketIndexKeySequenceByIndex()]\n
    <item>
    <key> <string>component_validation_workflow</string> </key>
    <value>
    <persistent> <string encoding="base64">AAAAAAAAAAQ=</string> </persistent>
    <persistent> <string encoding="base64">AAAAAAAAAAM=</string> </persistent>
    </value>
    </item>
    </dictionary>
    ......@@ -1001,7 +77,7 @@ result = [x for x in data_bucket_stream.getBucketIndexKeySequenceByIndex()]\n
    </dictionary>
    </pickle>
    </record>
    <record id="4" aka="AAAAAAAAAAQ=">
    <record id="3" aka="AAAAAAAAAAM=">
    <pickle>
    <global name="WorkflowHistoryList" module="Products.ERP5Type.Workflow"/>
    </pickle>
    ......@@ -1014,11 +90,11 @@ result = [x for x in data_bucket_stream.getBucketIndexKeySequenceByIndex()]\n
    <dictionary>
    <item>
    <key> <string>action</string> </key>
    <value> <string>modify</string> </value>
    <value> <string>validate</string> </value>
    </item>
    <item>
    <key> <string>validation_state</string> </key>
    <value> <string>modified</string> </value>
    <value> <string>validated</string> </value>
    </item>
    </dictionary>
    </list>
    ......
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