Jillellamudi, Aditya

I have used netgen vnet to deploy that is managed by internal cental team which is geeting deployed by other team for us and managed by them from diffrenct resource group (pc-managed). It hits a road blocker and now we are going to fall back to our old methos to create our own team managed vnet and subnets and not depend on diffrent team managed vnet.

wanted to remove all (comment out) the dependecy from all the modules and resources. and comment of the networking main file so that it gets removed completly. Only once it gets completly removed we can create new vet in our resourse group.


help me with the code to remove current vnet like as in dettact the vnet from all the resources and modules it is acttached as of now. also comment out the networking code so that i can delete all the networking componets incuding the pricate enpoints.

also list down all the resources which are using the vnet. so that its easier to track

---
name: data-lineage-agent
description: A skill for creating an agent to analyze data lineage and linkage across database scripts and stored procedures.
---

# Data Lineage Agent Skill

## Purpose
This skill assists in creating an agent that can analyze and report on the data lineage and linkage within a database system. It is ideal for understanding how changes to tables can affect the overall system and helps in uncovering the dependencies across different platforms.

## Steps to Create the Agent
1. **Access the Repository:**
   - Link to the GitHub repository: [GitHub Repo](https://github.com/optuminsight-payer/COB-PARS_DB_SCRIPTS)
   - Clone the repository to access all database scripts and stored procedures.

2. **Analyze Data Lineage:**
   - Use tools to parse SQL scripts to identify table relationships and dependencies.
   - Map out the data flow from source tables to final tables.

3. **Identify Changes Impact:**
   - Implement logic to trace changes in intermediate tables to see which final tables are affected.
   - Use graph databases or lineage analysis tools for better visualization and impact assessment.

4. **Host the Agent:**
   - Choose a hosting platform (e.g., AWS, Azure) to deploy the agent for continuous analysis and reporting.

## Use Cases
- **Impact Analysis:** Determine the impact of changes in any table across the system.
- **Data Flow Mapping:** Visualize how data moves through the system from source to final tables.
- **Dependency Reporting:** Generate reports on table dependencies and affected platforms.

## Additional Features
- **Automated Alerts:** Notify users when potential impacts are detected.
- **Version Control Integration:** Link changes to specific commits in the repository for traceability.

## Example Variables
- `repositoryUrl`: The URL of the GitHub repository.
- `platforms`: List of platforms involved in the data flow.

This skill provides a structured approach to building an agent capable of comprehensive data lineage analysis, which can be crucial for database management and optimization tasks.