joshyorko

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

1. 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.
2. Configure Python Dependencies

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

joshyorko

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")