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test: Add model to build fresh workspace
jira: GDAI-238 risk: low
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‎gooddata-pandas/tests/dataframe/load/ai/analytics_model/analytical_dashboards/b2f2d436-9831-4fe0-81df-8c59fd33242b.yaml‎

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# (C) 2025 GoodData Corporation
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content:
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filterContextRef:
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identifier:
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id: 4717b786-2c2e-4596-adb5-4f8b0ab0e19a
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type: filterContext
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layout:
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sections:
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- header:
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description: All in one description
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title: All in one title
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items:
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- size:
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xl:
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gridWidth: 6
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type: IDashboardLayoutItem
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widget:
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dateDataSet:
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identifier:
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id: date
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type: dataset
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description: ''
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drills: []
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ignoreDashboardFilters: []
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insight:
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identifier:
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id: top_10_customers
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type: visualizationObject
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localIdentifier: 2c7400ac-5f63-46f8-aa12-a2debe13fd14
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properties: {}
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title: Top 10 Customers
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type: insight
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- size:
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xl:
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gridWidth: 6
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type: IDashboardLayoutItem
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widget:
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dateDataSet:
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identifier:
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id: date
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type: dataset
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description: ''
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drills: []
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ignoreDashboardFilters: []
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insight:
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identifier:
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id: revenue_by_product
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type: visualizationObject
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localIdentifier: a50daab7-fb78-45eb-a2b4-d5cc8cbd89e9
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properties: {}
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title: Revenue by Product
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type: insight
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- size:
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xl:
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gridWidth: 6
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type: IDashboardLayoutItem
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widget:
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dateDataSet:
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identifier:
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id: date
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type: dataset
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description: ''
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drills: []
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ignoreDashboardFilters: []
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insight:
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identifier:
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id: revenue_by_category_trend
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type: visualizationObject
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localIdentifier: efccc783-5896-4eb6-890f-2e51ece3f159
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properties: {}
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title: Revenue by Category Trend
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type: insight
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- size:
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xl:
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gridWidth: 6
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type: IDashboardLayoutItem
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widget:
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dateDataSet:
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identifier:
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id: date
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type: dataset
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description: ''
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drills: []
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ignoreDashboardFilters: []
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insight:
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identifier:
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id: product_saleability
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type: visualizationObject
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localIdentifier: d738d85f-e935-4e2c-b8b4-a8b456f55079
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properties: {}
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title: Product Saleability
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type: insight
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- size:
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xl:
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gridWidth: 6
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type: IDashboardLayoutItem
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widget:
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dateDataSet:
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identifier:
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id: date
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type: dataset
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description: ''
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drills: []
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ignoreDashboardFilters: []
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insight:
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identifier:
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id: product_categories_pie_chart
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type: visualizationObject
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localIdentifier: 8c194c85-bad6-42da-b4e3-08d270278316
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properties: {}
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title: Product Categories Pie Chart
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type: insight
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- size:
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xl:
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gridWidth: 6
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type: IDashboardLayoutItem
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widget:
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dateDataSet:
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identifier:
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id: date
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type: dataset
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description: ''
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drills: []
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ignoreDashboardFilters: []
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insight:
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identifier:
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id: percentage_of_customers_by_region
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type: visualizationObject
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localIdentifier: 2c3307b2-581f-4bab-9252-6b5279565b24
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properties: {}
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title: Percentage of Customers by Region
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type: insight
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- size:
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xl:
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gridWidth: 6
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type: IDashboardLayoutItem
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widget:
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dateDataSet:
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identifier:
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id: date
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type: dataset
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description: ''
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drills: []
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ignoreDashboardFilters: []
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insight:
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identifier:
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id: customers_trend
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type: visualizationObject
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localIdentifier: 87505bb0-d954-4add-811d-f4e75e431660
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properties: {}
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title: Customers Trend
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type: insight
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- size:
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xl:
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gridWidth: 6
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type: IDashboardLayoutItem
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widget:
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description: ''
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drills: []
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ignoreDashboardFilters: []
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insight:
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identifier:
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id: campaign_spend
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type: visualizationObject
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localIdentifier: 0cb01f6a-6ea6-4c22-bb12-ded00a9eac66
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properties: {}
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title: Campaign Spend
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type: insight
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- size:
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xl:
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gridWidth: 12
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type: IDashboardLayoutItem
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widget:
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dateDataSet:
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identifier:
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id: date
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type: dataset
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description: ''
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drills: []
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ignoreDashboardFilters: []
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insight:
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identifier:
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id: percent_revenue_per_product_by_customer_and_category
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type: visualizationObject
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localIdentifier: 2213d6e4-6df7-458e-806d-f02bae5ce66a
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properties: {}
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title: '% Revenue per Product by Customer and Category'
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type: insight
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type: IDashboardLayoutSection
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type: IDashboardLayout
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version: '2'
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description: ''
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id: b2f2d436-9831-4fe0-81df-8c59fd33242b
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title: All visualizations 1 with custom filter

‎gooddata-pandas/tests/dataframe/load/ai/analytics_model/filter_contexts/4717b786-2c2e-4596-adb5-4f8b0ab0e19a.yaml‎

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# (C) 2025 GoodData Corporation
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content:
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filters:
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- attributeFilter:
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attributeElements:
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uris:
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- Biolid
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- ChalkTalk
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- Compglass
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- Elentrix
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displayForm:
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identifier:
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id: product_name
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type: label
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filterElementsBy: []
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localIdentifier: 6b94bbb585d44c79967867719e524fae
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negativeSelection: false
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selectionMode: multi
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version: '2'
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description: ''
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id: 4717b786-2c2e-4596-adb5-4f8b0ab0e19a
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title: filterContext

‎gooddata-pandas/tests/dataframe/load/ai/analytics_model/filter_contexts/9f2b1f37-befa-450e-a6cc-dc576845c412.yaml‎

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# (C) 2025 GoodData Corporation
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content:
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filters:
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- dateFilter:
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from: '0'
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granularity: GDC.time.year
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to: '0'
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type: relative
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version: '2'
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description: ''
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id: 9f2b1f37-befa-450e-a6cc-dc576845c412
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title: filterContext

‎gooddata-pandas/tests/dataframe/load/ai/analytics_model/metrics/amount_of_active_customers.yaml‎

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# (C) 2025 GoodData Corporation
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content:
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format: '#,##0'
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maql: SELECT COUNT({attribute/customer_id},{attribute/order_line_id})
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description: ''
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id: amount_of_active_customers
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title: '# of Active Customers'

‎gooddata-pandas/tests/dataframe/load/ai/analytics_model/metrics/amount_of_orders.yaml‎

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# (C) 2025 GoodData Corporation
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content:
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format: '#,##0'
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maql: SELECT COUNT({attribute/order_id})
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description: ''
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id: amount_of_orders
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title: '# of Orders'

‎gooddata-pandas/tests/dataframe/load/ai/analytics_model/metrics/amount_of_top_customers.yaml‎

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# (C) 2025 GoodData Corporation
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content:
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format: '#,##0'
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maql: 'SELECT {metric/amount_of_active_customers} WHERE (SELECT {metric/revenue}
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BY {attribute/customer_id}) > 10000 '
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description: ''
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id: amount_of_top_customers
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title: '# of Top Customers'

‎gooddata-pandas/tests/dataframe/load/ai/analytics_model/metrics/amount_of_valid_orders.yaml‎

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# (C) 2025 GoodData Corporation
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content:
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format: '#,##0.00'
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maql: SELECT {metric/amount_of_orders} WHERE NOT ({label/order_status} IN ("null",
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"Returned", "Canceled"))
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description: ''
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id: amount_of_valid_orders
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title: '# of Valid Orders'

‎gooddata-pandas/tests/dataframe/load/ai/analytics_model/metrics/campaign_spend.yaml‎

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# (C) 2025 GoodData Corporation
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content:
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format: $#,##0
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maql: SELECT SUM({fact/spend})
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description: ''
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id: campaign_spend
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title: Campaign Spend

‎gooddata-pandas/tests/dataframe/load/ai/analytics_model/metrics/order_amount.yaml‎

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# (C) 2025 GoodData Corporation
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content:
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format: $#,##0
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maql: SELECT SUM({fact/price}*{fact/quantity})
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description: ''
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id: order_amount
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title: Order Amount

‎gooddata-pandas/tests/dataframe/load/ai/analytics_model/metrics/percent_revenue.yaml‎

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# (C) 2025 GoodData Corporation
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content:
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format: '#,##0.0%'
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maql: SELECT {metric/revenue} / {metric/total_revenue}
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description: ''
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id: percent_revenue
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title: '% Revenue'

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