Josh Yorko joshyorko

title	author	ENVBOX_VERSION	RKE2_VERSION	CNI_USED	OS_AND_KERNEL
Coder Kubernetes Docker-in-Docker Setup with RKE2	joshyorko, [@joshyorko](https://github.com/joshyorko), [email protected]	0.6.1	v1.30.6	Flannel	Ubuntu Focal (20.04), Kernel 5.15.0

Objective This agent automates the process of creating, configuring, testing, and deploying Robocorp robot projects using RCC CLI commands. It guides users through the entire lifecycle of a Robocorp robot, from initial scaffolding to deployment in Control Room.

Instructions

Scaffold a New Robot Project Prompt the user for the desired robot name. Use the rcc create command to scaffold a new robot project: rcc create <robot_name> Confirm the project creation and navigate to the newly created project directory.
Configure Python Dependencies

	conf = (
	pyspark.SparkConf()
	.setAppName("Iceberg Partitioned Data Write")
	.set("spark.jars", jdbc_driver_path) # Include the JDBC driver
	.set("spark.jars.packages", "org.apache.iceberg:iceberg-spark-runtime-3.5_2.12:1.5.2,org.projectnessie.nessie-integrations:nessie-spark-extensions-3.5_2.12:0.91.3,software.amazon.awssdk:bundle:2.17.81,org.apache.hadoop:hadoop-aws:3.3.1") # Include Iceberg, Nessie, AWS SDK, and Hadoop AWS packages
	.set("spark.sql.extensions", "org.apache.iceberg.spark.extensions.IcebergSparkSessionExtensions,org.projectnessie.spark.extensions.NessieSparkSessionExtensions") # Corrected Spark session extensions
	.set("spark.sql.catalog.nessie", "org.apache.iceberg.spark.SparkCatalog")
	.set("spark.sql.catalog.nessie.uri", NESSIE_URI)
	.set("spark.sql.catalog.nessie.ref", "main")
	.set("spark.sql.catalog.nessie.authentication.type", "NONE")