TRCLI-253: Upload Test Result support for AI Evaluation Template

[acuanico-tr-galt]

Solution description

Added support for TestRail's AI Evaluation Template allowing users to upload test results with multi-dimensional quality ratings (0-5 stars across up to 15 categories like factual_accuracy, security, reliability, etc.) and AI-specific context fields (ai_input, ai_output, ai_traces, ai_latency). Quality ratings are parsed from JUnit XML properties and Robot Framework metadata, validated, and uploaded at the result root level per TestRail API requirements.

Changes

• New Parser Module: trcli/data_classes/quality_rating_parser.py - Validates and parses quality ratings from JSON strings with comprehensive error handling
• Data Class Updates: Added optional quality_rating field to TestRailResult with serde skip_if_default=True for backward compatibility
• JUnit Parser Enhancement: Extended junit_xml.py to extract and validate quality_rating from test case properties
• Robot Parser Enhancement: Extended robot_xml.py to extract and validate quality ratings from test metadata

Potential impacts

None. All changes are backwards compatible.

Steps to test

Please see updated README file 488-578

PR Tasks

• PR reference added to issue
• README updated
• Unit tests added/updated