Camera RDI Pipeline: Modularize and Robustify Frame Capture with Dynamic Python Parsing

[smuppand]

What

• Refactored Camera_RDI_FrameCapture/run.sh to be fully modular, sourcing all pipeline detection, parsing, and block execution logic from functestlib.sh and utils/camera/parse_media_topology.py.
• The Python parser now dynamically handles sensor renaming and pad variations, ensuring robust camera block discovery on any Qualcomm-based platform.
• Improved error handling, logging, and result file emission for CI/CD and test automation.
• Run.sh logic matches the proven manual media-ctl/yavta flow, ensuring pipeline works even if entity order or naming varies.

Why

• Existing logic was failing on device/sensor changes and required manual intervention.
• Needed a robust, sensor-agnostic solution that can adapt to topology or driver changes.
• Modularization enables reuse, easier maintenance, and faster debugging across the camera validation suite.

How

• All core camera pipeline steps now use reusable shell/Python helpers.
• Output is strictly structured for automated result parsing.
• Format override and pad handling is correct for all known camera entity topologies.

Tested on:

• Multiple RB3Gen2 devices and camera sensors, with verified frame capture and result emission.

[smuppand]

I need to move some functionality to another branch, so I'll create a new PR.