Rebase Multi property with main (#247)

* Update README.md

* ensure the build bucket is created in the specified region (#230)

* Update audience_segmentation_query_template.sqlx

* Update auto_audience_segmentation_query_template.sqlx

* Update churn_propensity_query_template.sqlx

* Update cltv_query_template.sqlx

* Update purchase_propensity_query_template.sqlx

* Restrict regions for GCP Cloud Build support (#241)

* Update README.md

* Move to uv (#242)

* add uv required project table segment in toml file

* switch to uv in terraform deployment

* switch to uv

* remove poetry usage from terraform

* format

* remove poetry

* Add files via upload

* Support property id in resources (#246)

* predicting for only the users with traffic in the past 72h - purchase propensity

* running inference only for users events in the past 72h

* including 72h users for all models predictions

* considering null values in TabWorkflow models

* deleting unused pipfile

* upgrading lib versions

* implementing reporting preprocessing as a new pipeline

* adding more code documentation

* adding important information on the main README.md and DEVELOPMENT.md

* adding schedule run name and more code documentation

* implementing a new scheduler using the vertex ai sdk & adding user_id to procedures for consistency

* adding more code documentation

* adding code doc to the python custom component

* adding more code documentation

* fixing aggregated predictions query

* removing unnecessary resources from deployment

* Writing MDS guide

* adding the MDS developer and troubleshooting documentation

* fixing deployment for activation pipelines and gemini dataset

* Update README.md

* Update README.md

* Update README.md

* Update README.md

* removing deprecated api

* fixing purchase propensity pipelines names

* adding extra condition for when there is not enough data for the window interval to be applied on backfill procedures

* adding more instructions for post deployment and fixing issues when GA4 export was configured for less than 10 days

* removing unnecessary comments

* adding the number of past days to process in the variables files

* adding comment about combining data from different ga4 export datasets to data store

* fixing small issues with feature engineering and ml pipelines

* fixing hyper parameter tuning for kmeans modeling

* fixing optuna parameters

* adding cloud shell image

* fixing the list of all possible users in the propensity training preparation tables

* additional guardrails for when there is not enough data

* adding more documentation

* adding more doc to feature store

* add feature store documentation

* adding ml pipelines docs

* adding ml pipelines docs

* adding more documentation

* adding user agent client info

* fixing scope of client info

* fix

* removing client_info from vertex components

* fixing versioning of tf submodules

* reconfiguring meta providers

* fixing issue 187

* chore(deps): upgrade terraform providers and modules version

* chore(deps): set the provider version

* chore: formatting

* fix: brand naming

* fix: typo

* fixing secrets issue

* implementing secrets region as tf variable

* implementing secrets region as tf variable

* last changes requested by lgrangeau

* documenting keys location better

* implementing vpc peering network

* Update README.md

* Rebase Main into Multi-property (#243)

* Update README.md

* ensure the build bucket is created in the specified region (#230)

* Update audience_segmentation_query_template.sqlx

* Update auto_audience_segmentation_query_template.sqlx

* Update churn_propensity_query_template.sqlx

* Update cltv_query_template.sqlx

* Update purchase_propensity_query_template.sqlx

* Restrict regions for GCP Cloud Build support (#241)

* Update README.md

* Move to uv (#242)

* add uv required project table segment in toml file

* switch to uv in terraform deployment

* switch to uv

* remove poetry usage from terraform

* format

* remove poetry

* Add files via upload

---------

Co-authored-by: Charlie Wang <[email protected]>
Co-authored-by: Mårten Lindblad <[email protected]>

* supporting property id in the resources

---------

Co-authored-by: Carlos Timoteo <[email protected]>
Co-authored-by: Laurent Grangeau <[email protected]>
Co-authored-by: Charlie Wang <[email protected]>
Co-authored-by: Mårten Lindblad <[email protected]>

* Update terraform-template.tfvars

* Update setup.py

---------

Co-authored-by: Charlie Wang <[email protected]>
Co-authored-by: Mårten Lindblad <[email protected]>
Co-authored-by: Carlos Timoteo <[email protected]>
Co-authored-by: Laurent Grangeau <[email protected]>

infrastructure/cloudshell/terraform-template.tfvars

@@ -27,6 +27,7 @@ deploy_monitoring    = true
 
 data_project_id              = "${MAJ_MDS_PROJECT_ID}"
 destination_data_location    = "${MAJ_MDS_DATA_LOCATION}"
+property_id                  = "${MAJ_GA4_PROPERTY_ID}"
 data_processing_project_id   = "${MAJ_MDS_DATAFORM_PROJECT_ID}"
 source_ga4_export_project_id = "${MAJ_GA4_EXPORT_PROJECT_ID}"
 source_ga4_export_dataset    = "${MAJ_GA4_EXPORT_DATASET}"

python/ga4_setup/setup.py

@@ -513,9 +513,14 @@ def entry():
 
   if args.ga4_resource == "check_property_type":
     property = get_property(configuration)
-    result = {
-      'supported': f"{property.property_type == property.property_type.PROPERTY_TYPE_ORDINARY}"
-    }
+    is_property_supported = set((property.property_type.PROPERTY_TYPE_ORDINARY, property.property_type.PROPERTY_TYPE_SUBPROPERTY, property.property_type.PROPERTY_TYPE_ROLLUP))
+
+    result = {}
+    if property.property_type in is_property_supported:
+      result = {'supported': "True"}
+    else:
+      result = {'supported': "False"}
+
     print(json.dumps(result))
 
   # python setup.py --ga4_resource=custom_events