Data Collection for deep AQAtik

To automate the data collection process for deep AQAtik, we need to investigate and work on the following functions:
- [x] Collect all open issue contents in related repos, e.g. [openjdk-tests/issues](https://github.com/AdoptOpenJDK/openjdk-tests/issues)
- [x] Based on the issue contents, collect corresponding original test outputs from TRSS database or Jenkins output if exist.
- [x] After storing all existing issue contents, continuously monitoring and collecting new issues in these repos.
- [ ] Link data collection with ml model training program, so when a new issue is created, we can trigger ml training in needed.

Relate Issue: https://github.com/adoptium/aqa-test-tools/issues/355

Start by reviewing related issue #355 and the completed collection requirements, then locate the existing data-collection and ML-training entry points in this repository. Confirm how TRSS or Jenkins outputs and new issues are currently handled; done means a new issue can trigger model training when needed without disrupting collection.

Written by the indexing model from the issue text.