fix quick installation tfvars file (#326)

* fixing issues with feature store * commenting module to be implemented * uncommenting delete protection * uncommenting delete protection * fixing tf vars file --------- Co-authored-by: Carlos Timoteo <ctimoteo@google.com>
GoogleCloudPlatform · Feb 12, 2025 · f439b82 · f439b82
1 parent dc8bd31
commit f439b82
Showing 1 changed file with 166 additions and 2 deletions.
diff --git a/infrastructure/cloudshell/terraform-template.tfvars b/infrastructure/cloudshell/terraform-template.tfvars
@@ -21,7 +21,7 @@ deploy_dataform      = true
 deploy_activation    = true
 deploy_feature_store = true
 deploy_pipelines     = true
-deploy_monitoring    = true
+deploy_monitoring    = false
 
 ####################  DATA VARIABLES  #################################
 
@@ -34,9 +34,173 @@ source_ga4_export_dataset    = "${MAJ_GA4_EXPORT_DATASET}"
 source_ads_export_data = [
   { project = "${MAJ_ADS_EXPORT_PROJECT_ID}", dataset = "${MAJ_ADS_EXPORT_DATASET}", table_suffix = "${MAJ_ADS_EXPORT_TABLE_SUFFIX}" }]
 
-####################  FEATEURE STORE VARIABLES  #################################
+####################  FEATURE STORE VARIABLES  #################################
 
 feature_store_project_id = "${MAJ_FEATURE_STORE_PROJECT_ID}"
+# These variables are going to become optional with future deployment
+# List of comma separated events used in the lead score feature engineering e.g. (["scroll_50", "scroll_90", "view_search_results", ..])
+non_ecomm_events_list = ["scroll_50", "view_search_results"]
+# A target event for the lead score propensity feature engineering e.g. "login"
+non_ecomm_target_event = "login"
+
+###################  PIPELINE CONFIGURATIONS  ##################################
+
+pipeline_configuration = {
+    feature-creation-auto-audience-segmentation = {
+      execution = {
+        schedule = {
+          state                    = "PAUSED"
+        }
+      }
+    }
+    feature-creation-audience-segmentation = {
+      execution = {
+        schedule = {
+          state                    = "PAUSED"
+        }
+      }
+    }
+    feature-creation-purchase-propensity = {
+      execution = {
+        schedule = {
+          state                    = "ACTIVE"
+        }
+      }
+    }
+    feature-creation-churn-propensity = {
+      execution = {
+        schedule = {
+          state                    = "PAUSED"
+        }
+      }
+    }
+    feature-creation-customer-ltv = {
+      execution = {
+        schedule = {
+          state                    = "PAUSED"
+        }
+      }
+    }
+    feature-creation-aggregated-value-based-bidding = {
+      execution = {
+        schedule = {
+          state                    = "PAUSED"
+        }
+      }
+    }
+    feature-creation-lead-score-propensity = {
+      execution = {
+        schedule = {
+          state                    = "ACTIVE"
+        }
+      }
+    }
+    value_based_bidding = {
+      training = {
+        schedule = {
+          state                    = "PAUSED"
+        }
+      }
+      explanation = {
+        schedule = {
+          state                    = "PAUSED"
+        }
+      }
+    }
+    purchase_propensity = {
+      training = {
+        schedule = {
+          state                    = "ACTIVE"
+        }
+      }
+      prediction = {
+        schedule = {
+          state                    = "ACTIVE"
+        }
+      }
+    }
+    churn_propensity = {
+      training = {
+        schedule = {
+          state                    = "PAUSED"
+        }
+      }
+      prediction = {
+        schedule = {
+          state                    = "PAUSED"
+        }
+      }
+    }
+    segmentation = {
+      training = {
+        schedule = {
+          state                    = "PAUSED"
+        }
+      }
+      prediction = {
+        schedule = {
+          state                    = "PAUSED"
+        }
+      }
+    }
+    auto_segmentation = {
+      training = {
+        schedule = {
+          state                    = "PAUSED"
+        }
+      }
+      prediction = {
+        schedule = {
+          state                    = "PAUSED"
+        }
+      }
+    }
+    propensity_clv = {
+      training = {
+        schedule = {
+          state                    = "PAUSED"
+        }
+      }
+    }
+    clv = {
+      training = {
+        schedule = {
+          state                    = "PAUSED"
+        }
+      }
+      prediction = {
+        schedule = {
+          state                    = "PAUSED"
+        }
+      }
+    }
+    lead_score_propensity = {
+      training = {
+        schedule = {
+          state                    = "ACTIVE"
+        }
+      }
+      prediction = {
+        schedule = {
+          state                    = "ACTIVE"
+        }
+      }
+    }
+
+    gemini_insights = {
+      execution = {
+        schedule = {
+          state                    = "PAUSED"
+        }
+      }
+    }
+    reporting_preparation = {
+    execution = {
+      schedule = {
+        state                    = "PAUSED"
+      }
+    }
+}
 
 ####################     ML MODEL VARIABLES    #################################