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wrangler-transform/src/e2e-test/features/WranglerUI/DataTypeParsers.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. | ||
|
||
@Wrangler | ||
Feature: datatype parsers | ||
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@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 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: "create_date" and apply directive: "Parse" as "Simple date" with "yyyy-MM-dd" option | ||
Then Expand dropdown column: "update_date" and apply directive: "Parse" as "Simple date" with "yyyy-MM-dd" option | ||
Then Enter directive from CLI "parse-timestamp :time" | ||
Then Enter directive from CLI "parse-as-currency :price :newprice" | ||
Then Enter directive from CLI "format-as-currency :newprice :format_price" | ||
Then Enter directive from CLI "diff-date :create_date :update_date :diff_date" | ||
Then Enter directive from CLI "timestamp-to-datetime :update_date" | ||
Then Enter directive from CLI "rename :newprice :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 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 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_Timestamp" | ||
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_DATETIME_TEST @BQ_SOURCE_TEST @BQ_SINK_TEST | ||
Scenario: To verify User is able to run a pipeline using parse datetime directive | ||
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: "timestamp" and apply directive:"Parse" with directive type: "Datetime" and select "Custom format" and enter "yyyy-MM-dd'T'HH:mm:ssX'['z']'" | ||
Then Enter directive from CLI "current-datetime :create_date" | ||
Then Enter directive from CLI "datetime-to-timestamp :timestamp" | ||
Then Enter directive from CLI "format-datetime :create_date 'y'" | ||
Then Enter directive from CLI "format-date :timestamp yyyy-mm-dd" | ||
Then Enter directive from CLI "rename timestamp timecolumn" | ||
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 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 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_DatetimeNew" | ||
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 |
65 changes: 65 additions & 0 deletions
65
wrangler-transform/src/e2e-test/features/WranglerUI/ParseAsAvro.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. | ||
|
||
@Wrangler | ||
Feature: Wrangler - Run time scenarios for Parse Avro | ||
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@BQ_SOURCE_AVRO_TEST @BQ_SOURCE_TEST @BQ_SINK_TEST | ||
Scenario: To verify User is able to run a pipeline using parse avro directive | ||
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 "Avro" | ||
Then Enter directive from CLI "filter-rows-on condition-true name == null || name =~ '^\W*$'" | ||
Then Enter directive from CLI "cut-character name nameNew 2-3" | ||
Then Expand dropdown column: "value" and apply directive: "Change data type" as "Integer" | ||
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 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 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_avro" | ||
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 |
71 changes: 71 additions & 0 deletions
71
wrangler-transform/src/e2e-test/features/WranglerUI/ParseAsCsv.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. | ||
|
||
@Wrangler | ||
Feature: Wrangler - Run time scenarios for parse csv using UI | ||
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@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 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: "Fill null or empty cells" 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: "Change data type" 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 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 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 |
70 changes: 70 additions & 0 deletions
70
wrangler-transform/src/e2e-test/features/WranglerUI/ParseAsExcel.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. | ||
|
||
@Wrangler | ||
Feature: Parse as excel | ||
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@BQ_SINK_TEST | ||
Scenario: To verify User is able to run a pipeline using parse Excel directive | ||
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: "bqSourceTableExcel" | ||
Then Verify connection datatable is displayed for the data: "bqSourceTableExcel" | ||
Then Enter directive from CLI "parse-as-excel :body '0' true" | ||
Then Expand dropdown column: "name" and apply directive: "Copy column" as "copiedname" | ||
Then Enter directive from CLI "merge name bkd uniquenum ','" | ||
Then Enter directive from CLI "rename bkd rollno" | ||
Then Expand dropdown column: "fwd" and apply directive: "Delete column" | ||
Then Select checkbox on two columns "id" and "rollno" | ||
Then Expand dropdown column: "id" and apply directive: "Swap two column names" | ||
Then Enter directive from CLI "split-to-rows :name 'o'" | ||
Then Enter directive from CLI "filter-rows-on condition-false rollno !~ '2.0'" | ||
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 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 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" | ||
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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