Below is my main.tf file , my pipeline name = “testing-terraform” is getting created but the activities lkp, foreach etc they are not getting created maybe its not taking reference to existing dataset. Do anybody know how I can accomplish this and my whole pipeline with activities could create.
below is the code for the same my main.tf

    data "azurerm_client_config" "current" {}

    data "azurerm_resource_group" "adf_rg" {
      name = var.adf_rg
    }

    data "azurerm_data_factory" "adf_cdf" {
      name = var.adf_name
      resource_group_name = var.adf_rg
    }
    

  
      #creating pipeline
    resource "azurerm_data_factory_pipeline" "devpipeline" {
     //resource_group_name = data.azurerm_resource_group.adf_rg
     //data_factory_name   = data.azurerm_data_factory.adf_cdf
      name = "testing-terraform"
      data_factory_id = data.azurerm_data_factory.adf_cdf.id
      activities_json = <<JSON
    [
      {
        "name": "testing-terra",
        "properties": {
            "activities": [
                {
                    "name": "Copyact",
            "type": "Copy",
            "dependsOn": [],
            "policy": {
                "timeout": "7.00:00:00",
                "retry": 0,
                "retryIntervalInSeconds": 30,
                "secureOutput": false,
                "secureInput": false
            },
            "userProperties": [],
            "typeProperties": {
                "source": {
                    "type": "ExcelSource",
                    "storeSettings": {
                        "type": "AzureBlobFSReadSettings",
                        "recursive": true,
                        "enablePartitionDiscovery": false
                    }
                },
                "sink": {
                    "type": "ParquetSink",
                    "storeSettings": {
                        "type": "AzureBlobFSWriteSettings"
                    },
                    "formatSettings": {
                        "type": "ParquetWriteSettings"
                    }
                },
                "enableStaging": false,
                "translator": {
                    "type": "TabularTranslator",
                    "typeConversion": true,
                    "typeConversionSettings": {
                        "allowDataTruncation": true,
                        "treatBooleanAsNumber": false
                    }
                }
            },
            "inputs": [
                {
                    "referenceName": "Clinical",
                    "type": "DatasetReference"
                }
            ],
            "outputs": [
                {
                    "referenceName": "Datalake_destination",
                    "type": "DatasetReference"
                        }
                    ]
                }
            ],
            "annotations": []
        }
    }
    ]
      JSON
    }