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wrangler e2e tests
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priyabhatnagar25 authored and AnkitCLI committed Jan 23, 2024
1 parent 7042ab9 commit 4e22f8e
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4 changes: 2 additions & 2 deletions pom.xml
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<aws.sdk.version>1.11.133</aws.sdk.version>
<bigquery.connector.hadoop2.version>0.10.2-hadoop2</bigquery.connector.hadoop2.version>
<bouncycastle.version>1.56</bouncycastle.version>
<cdap.version>6.10.0-SNAPSHOT</cdap.version>
<cdap.version>6.10.0</cdap.version>
<chlorine.version>1.1.5</chlorine.version>
<commons.validator.version>1.6</commons.validator.version>
<commons-io.version>2.5</commons-io.version>
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<dependency>
<groupId>io.cdap.tests.e2e</groupId>
<artifactId>cdap-e2e-framework</artifactId>
<version>0.3.0-SNAPSHOT</version>
<version>0.4.0-SNAPSHOT</version>
<scope>test</scope>
</dependency>

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@Wrangler
Feature: datatype parsers

@BQ_SOURCE_TS_TEST @BQ_SINK_TEST
@BQ_SOURCE_TS_TEST @BQ_SOURCE_TEST @BQ_SINK_TEST
Scenario: To verify User is able to run a pipeline using parse timestamp directive
Given Open Datafusion Project to configure pipeline
Then Click on the Plus Green Button to import the pipelines
Expand All @@ -25,13 +25,13 @@ Feature: datatype parsers
Then Replace input plugin property: "dataset" with value: "dataset"
Then Replace input plugin property: "table" with value: "bqSourceTable"
Then Click on the Get Schema button
Then Click on the Validate button
Then Validate "BigQueryTable" plugin properties
Then Close the Plugin Properties page
Then Navigate to the properties page of plugin: "BigQuery2"
Then Replace input plugin property: "project" with value: "projectId"
Then Replace input plugin property: "table" with value: "bqTargetTable"
Then Replace input plugin property: "dataset" with value: "dataset"
Then Click on the Validate button
Then Validate "BigQuery2" plugin properties
Then Close the Plugin Properties page
Then Rename the pipeline
Then Deploy the pipeline
Expand All @@ -43,7 +43,7 @@ Feature: datatype parsers
Then Validate The Data From BQ To BQ With Actual And Expected File for: "ExpectedDirective_parse_Timestamp"


@BQ_SOURCE_DATETIME_TEST @BQ_SINK_TEST
@BQ_SOURCE_DATETIME_TEST @BQ_SOURCE_TEST @BQ_SINK_TEST
Scenario: To verify User is able to run a pipeline using parse datetime directive
Given Open Datafusion Project to configure pipeline
Then Click on the Plus Green Button to import the pipelines
Expand All @@ -53,13 +53,14 @@ Feature: datatype parsers
Then Replace input plugin property: "dataset" with value: "dataset"
Then Replace input plugin property: "table" with value: "bqSourceTable"
Then Click on the Get Schema button
Then Click on the Validate button
Then Close the Plugin Properties page
Then Validate "BigQueryTable" plugin properties
Then Navigate to the properties page of plugin: "BigQuery2"
Then Replace input plugin property: "project" with value: "projectId"
Then Replace input plugin property: "table" with value: "bqTargetTable"
Then Replace input plugin property: "dataset" with value: "dataset"
Then Click on the Validate button
Then Validate "BigQuery2" plugin properties
Then Close the Plugin Properties page
Then Rename the pipeline
Then Deploy the pipeline
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# the License.

@Wrangler
Feature: Wrangler - Run time scenarios
Feature: Wrangler - Run time scenarios for parse csv

@BQ_SOURCE_CSV_TEST @BQ_SINK_TEST
@BQ_SOURCE_CSV_TEST @BQ_SOURCE_TEST @BQ_SINK_TEST
Scenario: To verify User is able to run a pipeline using parse csv directive
Given Open Datafusion Project to configure pipeline
Then Click on the Plus Green Button to import the pipelines
Expand All @@ -25,13 +25,13 @@ Feature: Wrangler - Run time scenarios
Then Replace input plugin property: "dataset" with value: "dataset"
Then Replace input plugin property: "table" with value: "bqSourceTable"
Then Click on the Get Schema button
Then Click on the Validate button
Then Validate "BigQueryTable" plugin properties
Then Close the Plugin Properties page
Then Navigate to the properties page of plugin: "BigQuery2"
Then Replace input plugin property: "project" with value: "projectId"
Then Replace input plugin property: "table" with value: "bqTargetTable"
Then Replace input plugin property: "dataset" with value: "dataset"
Then Click on the Validate button
Then Validate "BigQuery2" plugin properties
Then Close the Plugin Properties page
Then Rename the pipeline
Then Deploy the pipeline
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@@ -0,0 +1,40 @@
# Copyright © 2023 Cask Data, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may not
# use this file except in compliance with the License. You may obtain a copy of
# the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
# License for the specific language governing permissions and limitations under
# the License.

@Wrangler
Feature: Parse as excel

@GCS_SOURCE_TEST @BQ_SINK_TEST
Scenario: To verify User is able to run a pipeline using parse Excel directive
Given Open Datafusion Project to configure pipeline
Then Click on the Plus Green Button to import the pipelines
Then Select the file for importing the pipeline for the plugin "Directive_parse_excel"
Then Navigate to the properties page of plugin: "GCSFile"
Then Replace input plugin property: "project" with value: "projectId"
Then Replace input plugin property: "path" with value: "gcsSourceBucket"
Then Close the Plugin Properties page
Then Navigate to the properties page of plugin: "BigQuery"
Then Replace input plugin property: "project" with value: "projectId"
Then Replace input plugin property: "table" with value: "bqTargetTable"
Then Replace input plugin property: "dataset" with value: "dataset"
Then Validate "BigQuery" plugin properties
Then Close the Plugin Properties page
Then Rename the pipeline
Then Deploy the pipeline
Then Run the Pipeline in Runtime
Then Wait till pipeline is in running state
Then Open and capture logs
Then Verify the pipeline status is "Succeeded"
Then Close the pipeline logs
Then Validate The Data From BQ To BQ With Actual And Expected File for: "ExpectedDirective_parse_excel"
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Expand Up @@ -15,7 +15,7 @@
@Wrangler
Feature: parse as fixed length

@BQ_SOURCE_FXDLEN_TEST @BQ_SINK_TEST
@BQ_SOURCE_FXDLEN_TEST @BQ_SOURCE_TEST @BQ_SINK_TEST
Scenario: To verify User is able to run a pipeline using parse fixedlength directive
Given Open Datafusion Project to configure pipeline
Then Click on the Plus Green Button to import the pipelines
Expand All @@ -25,13 +25,13 @@ Feature: parse as fixed length
Then Replace input plugin property: "dataset" with value: "dataset"
Then Replace input plugin property: "table" with value: "bqSourceTable"
Then Click on the Get Schema button
Then Click on the Validate button
Then Validate "BigQueryTable" plugin properties
Then Close the Plugin Properties page
Then Navigate to the properties page of plugin: "BigQuery2"
Then Replace input plugin property: "project" with value: "projectId"
Then Replace input plugin property: "table" with value: "bqTargetTable"
Then Replace input plugin property: "dataset" with value: "dataset"
Then Click on the Validate button
Then Validate "BigQuery2" plugin properties
Then Close the Plugin Properties page
Then Rename the pipeline
Then Deploy the pipeline
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Expand Up @@ -15,7 +15,7 @@
@Wrangler
Feature: parse as HL7

@BQ_SOURCE_HL7_TEST @BQ_SINK_TEST
@BQ_SOURCE_HL7_TEST @BQ_SOURCE_TEST @BQ_SINK_TEST
Scenario: To verify User is able to run a pipeline using parse hl7 directive
Given Open Datafusion Project to configure pipeline
Then Click on the Plus Green Button to import the pipelines
Expand All @@ -25,16 +25,15 @@ Feature: parse as HL7
Then Replace input plugin property: "dataset" with value: "dataset"
Then Replace input plugin property: "table" with value: "bqSourceTable"
Then Click on the Get Schema button
Then Click on the Validate button
Then Validate "BigQueryTable" plugin properties
Then Close the Plugin Properties page
Then Navigate to the properties page of plugin: "BigQuery2"
Then Replace input plugin property: "project" with value: "projectId"
Then Replace input plugin property: "table" with value: "bqTargetTable"
Then Replace input plugin property: "dataset" with value: "dataset"
Then Click on the Validate button
Then Validate "BigQuery2" plugin properties
Then Close the Plugin Properties page
Then Rename the pipeline
Then Deploy the pipeline
Then Save and Deploy Pipeline
Then Run the Pipeline in Runtime
Then Wait till pipeline is in running state
Then Open and capture logs
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# Copyright © 2023 Cask Data, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may not
# use this file except in compliance with the License. You may obtain a copy of
# the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
# License for the specific language governing permissions and limitations under
# the License.

@Wrangler
Feature: parse as Json

@BQ_SOURCE_JSON_TEST @BQ_SOURCE_TEST @BQ_SINK_TEST
Scenario: To verify User is able to run a pipeline using parse Json directive
Given Open Datafusion Project to configure pipeline
Then Click on the Plus Green Button to import the pipelines
Then Select the file for importing the pipeline for the plugin "Directive_parse_json"
Then Navigate to the properties page of plugin: "BigQueryTable"
Then Replace input plugin property: "project" with value: "projectId"
Then Replace input plugin property: "dataset" with value: "dataset"
Then Replace input plugin property: "table" with value: "bqSourceTable"
Then Click on the Get Schema button
Then Validate "BigQueryTable" plugin properties
Then Close the Plugin Properties page
Then Navigate to the properties page of plugin: "BigQuery2"
Then Replace input plugin property: "project" with value: "projectId"
Then Replace input plugin property: "table" with value: "bqTargetTable"
Then Replace input plugin property: "dataset" with value: "dataset"
Then Validate "BigQuery2" plugin properties
Then Close the Plugin Properties page
Then Rename the pipeline
Then Deploy the pipeline
Then Run the Pipeline in Runtime
Then Wait till pipeline is in running state
Then Open and capture logs
Then Verify the pipeline status is "Succeeded"
Then Close the pipeline logs
Then Validate The Data From BQ To BQ With Actual And Expected File for: "ExpectedDirective_parse_json"
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@@ -0,0 +1,43 @@
# Copyright © 2023 Cask Data, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may not
# use this file except in compliance with the License. You may obtain a copy of
# the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
# License for the specific language governing permissions and limitations under
# the License.

@Wrangler
Feature: parse as XmlToJson

@BQ_SOURCE_XML_TEST @BQ_SOURCE_TEST @BQ_SINK_TEST
Scenario: To verify User is able to run a pipeline using parse XmlToJson directive
Given Open Datafusion Project to configure pipeline
Then Click on the Plus Green Button to import the pipelines
Then Select the file for importing the pipeline for the plugin "Directive_parse_xml"
Then Navigate to the properties page of plugin: "BigQueryTable"
Then Replace input plugin property: "project" with value: "projectId"
Then Replace input plugin property: "dataset" with value: "dataset"
Then Replace input plugin property: "table" with value: "bqSourceTable"
Then Click on the Get Schema button
Then Validate "BigQueryTable" plugin properties
Then Close the Plugin Properties page
Then Navigate to the properties page of plugin: "BigQuery2"
Then Replace input plugin property: "project" with value: "projectId"
Then Replace input plugin property: "table" with value: "bqTargetTable"
Then Replace input plugin property: "dataset" with value: "dataset"
Then Validate "BigQuery2" plugin properties
Then Close the Plugin Properties page
Then Rename the pipeline
Then Deploy the pipeline
Then Run the Pipeline in Runtime
Then Wait till pipeline is in running state
Then Open and capture logs
Then Verify the pipeline status is "Succeeded"
Then Close the pipeline logs
Then Validate The Data From BQ To BQ With Actual And Expected File for: "ExpectedDirective_parse_xml"
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