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Additional e2e scenarios for Wrangler
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wrangler-transform/src/e2e-test/features/WranglerErrorScenarios.feature
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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. | ||
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@Wrangler_Required | ||
Feature: Wrangler - Verify Wrangler Plugin Error scenarios | ||
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@BQ_SOURCE_CSV_TEST @BQ_SOURCE_TEST @BQ_CONNECTION | ||
Scenario: Verify Wrangler Plugin error when user select Precondition Language as SQL | ||
Given Open Wrangler connections page | ||
Then Click plugin property: "addConnection" button | ||
Then Click plugin property: "bqConnectionRow" | ||
Then Enter input plugin property: "name" with value: "bqConnectionName" | ||
Then Replace input plugin property: "projectId" with value: "projectId" | ||
Then Enter input plugin property: "datasetProjectId" with value: "projectId" | ||
Then Override Service account details in Wrangler connection page if set in environment variables | ||
Then Click plugin property: "testConnection" button | ||
Then Verify the test connection is successful | ||
Then Click plugin property: "connectionCreate" button | ||
Then Verify the connection with name: "bqConnectionName" is created successfully | ||
Then Select connection data row with name: "dataset" | ||
Then Select connection data row with name: "bqSourceTable" | ||
Then Verify connection datatable is displayed for the data: "bqSourceTable" | ||
Then Click Create Pipeline button and choose the type of pipeline as: "Batch pipeline" | ||
Then Verify plugin: "BigQueryTable" node is displayed on the canvas with a timeout of 120 seconds | ||
Then Close the Plugin Properties page | ||
Then Navigate to the properties page of plugin: "Wrangler" | ||
Then Select radio button plugin property: "expressionLanguage" with value: "sql" | ||
Then Click on the Validate button | ||
Then Verify that the Plugin Property: "directives" is displaying an in-line error message: "errorMessageSqlError" | ||
Given Open Wrangler connections page | ||
Then Expand connections of type: "BigQuery" | ||
Then Open action menu for connection: "bqConnectionName" of type: "BigQuery" | ||
Then Select action: "Delete" for connection: "bqConnectionName" of type: "BigQuery" | ||
Then Click plugin property: "Delete" button | ||
Then Verify connection: "bqConnectionName" of type: "BigQuery" is deleted successfully | ||
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@BQ_SOURCE_CSV_TEST @BQ_SOURCE_TEST @BQ_CONNECTION | ||
Scenario: Verify Wrangler Plugin error when user provides invalid input field Name | ||
Given Open Wrangler connections page | ||
Then Click plugin property: "addConnection" button | ||
Then Click plugin property: "bqConnectionRow" | ||
Then Enter input plugin property: "name" with value: "bqConnectionName" | ||
Then Replace input plugin property: "projectId" with value: "projectId" | ||
Then Enter input plugin property: "datasetProjectId" with value: "projectId" | ||
Then Override Service account details in Wrangler connection page if set in environment variables | ||
Then Click plugin property: "testConnection" button | ||
Then Verify the test connection is successful | ||
Then Click plugin property: "connectionCreate" button | ||
Then Verify the connection with name: "bqConnectionName" is created successfully | ||
Then Select connection data row with name: "dataset" | ||
Then Select connection data row with name: "bqSourceTable" | ||
Then Verify connection datatable is displayed for the data: "bqSourceTable" | ||
Then Click Create Pipeline button and choose the type of pipeline as: "Batch pipeline" | ||
Then Verify plugin: "BigQueryTable" node is displayed on the canvas with a timeout of 120 seconds | ||
Then Navigate to the properties page of plugin: "Wrangler" | ||
Then Replace input plugin property: "field" with value: "invalid" | ||
Then Click on the Validate button | ||
Then Verify that the Plugin Property: "field" is displaying an in-line error message: "errorMessageInvalidInputFieldName" | ||
Given Open Wrangler connections page | ||
Then Expand connections of type: "BigQuery" | ||
Then Open action menu for connection: "bqConnectionName" of type: "BigQuery" | ||
Then Select action: "Delete" for connection: "bqConnectionName" of type: "BigQuery" | ||
Then Click plugin property: "Delete" button | ||
Then Verify connection: "bqConnectionName" of type: "BigQuery" is deleted successfully | ||
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wrangler-transform/src/e2e-test/features/Wrangler_Macro.feature
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# Copyright © 2024 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. | ||
|
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@Wrangler | ||
Feature: Wrangler - Run time scenarios for wrangler plugin using macro arguments | ||
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@BQ_SOURCE_CSV_TEST @BQ_SOURCE_TEST @BQ_SINK_TEST @BQ_CONNECTION | ||
Scenario: To verify User is able to run a pipeline using macro arguments | ||
Given Open Wrangler connections page | ||
Then Click plugin property: "addConnection" button | ||
Then Click plugin property: "bqConnectionRow" | ||
Then Enter input plugin property: "name" with value: "bqConnectionName" | ||
Then Replace input plugin property: "projectId" with value: "projectId" | ||
Then Enter input plugin property: "datasetProjectId" with value: "projectId" | ||
Then Override Service account details in Wrangler connection page if set in environment variables | ||
Then Click plugin property: "testConnection" button | ||
Then Verify the test connection is successful | ||
Then Click plugin property: "connectionCreate" button | ||
Then Verify the connection with name: "bqConnectionName" is created successfully | ||
Then Select connection data row with name: "dataset" | ||
Then Select connection data row with name: "bqSourceTable" | ||
Then Verify connection datatable is displayed for the data: "bqSourceTable" | ||
Then Expand dropdown column: "body" and apply directive: "Parse" as "CSV" with: "Comma" option | ||
Then Expand dropdown column: "body_3" and apply directive: "FillNullOrEmptyCells" as "shubh" | ||
Then Enter directive from CLI "rename body_1 new_id" | ||
Then Enter directive from CLI "quantize body_4 body_q 1:2=20,3:4=40" | ||
Then Expand dropdown column: "body_4" and apply directive: "ChangeDataType" as "Integer" | ||
Then Enter directive from CLI "columns-replace s/^new_//g" | ||
Then Enter directive from CLI "set-headers :abc" | ||
Then Enter directive from CLI "change-column-case uppercase" | ||
Then Enter directive from CLI "cleanse-column-names " | ||
Then Enter directive from CLI "split-to-rows :id '#'" | ||
Then Click Create Pipeline button and choose the type of pipeline as: "Batch pipeline" | ||
Then Verify plugin: "BigQueryTable" node is displayed on the canvas with a timeout of 120 seconds | ||
Then Navigate to the properties page of plugin: "Wrangler" | ||
Then Click on the Macro button of Property: "field" and set the value to: "fields" | ||
Then Click on the Macro button of Property: "expressionLanguage" and set the value to: "expressionLanguage" | ||
Then Click on the Macro button of Property: "precondition" and set the value to: "precondition" | ||
Then Click on the Macro button of Property: "on-error" and set the value to: "on-error" | ||
Then Validate "Wrangler" plugin properties | ||
Then Close the Plugin Properties page | ||
Then Expand Plugin group in the LHS plugins list: "Sink" | ||
Then Select plugin: "BigQuery" from the plugins list as: "Sink" | ||
Then Navigate to the properties page of plugin: "BigQuery2" | ||
Then Click plugin property: "useConnection" | ||
Then Click on the Browse Connections button | ||
Then Select connection: "bqConnectionName" | ||
Then Enter input plugin property: "referenceName" with value: "BQSinkReferenceName" | ||
Then Enter input plugin property: "dataset" with value: "dataset" | ||
Then Enter input plugin property: "table" with value: "bqTargetTable" | ||
Then Validate "BigQuery" plugin properties | ||
Then Close the Plugin Properties page | ||
Then Connect plugins: "Wrangler" and "BigQuery2" to establish connection | ||
Then Save the pipeline | ||
Then Deploy the pipeline | ||
Then Run the Pipeline in Runtime | ||
Then Enter runtime argument value "expressionLanguage" for key "expressionLanguage" | ||
Then Enter runtime argument value "fields" for key "fields" | ||
Then Enter runtime argument value "precondition" for key "precondition" | ||
Then Enter runtime argument value "onError" for key "on-error" | ||
Then Run the Pipeline in Runtime with runtime arguments | ||
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_csv" | ||
Given Open Wrangler connections page | ||
Then Expand connections of type: "BigQuery" | ||
Then Open action menu for connection: "bqConnectionName" of type: "BigQuery" | ||
Then Select action: "Delete" for connection: "bqConnectionName" of type: "BigQuery" | ||
Then Click plugin property: "Delete" button | ||
Then Verify connection: "bqConnectionName" of type: "BigQuery" is deleted successfully |
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wrangler-transform/src/e2e-test/resources/errorMessage.properties
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validationSuccessMessage=No errors found. | ||
errorMessageInvalidInputFieldName=Field 'invalid' must be present in input schema. | ||
errorMessageSqlError=Directives are not supported for precondition of type SQL |
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