If ModelCheckpoint and Validation occur on the same step, validation should run first, reopen

Nobody has claimed this yet.

### Bug description

The issue described here, is still unsolved https://github.com/Lightning-AI/lightning/issues/7694

The consequences of this issue is that n-th model is saved based on metrics from the n-1th step

### What version are you seeing the problem on?

_No response_

### How to reproduce the bug

_No response_

### Error messages and logs

```
# Error messages and logs here please
```

### Environment

Current environment

```
#- Lightning Component (e.g. Trainer, LightningModule, LightningApp, LightningWork, LightningFlow):
#- PyTorch Lightning Version (e.g., 1.5.0):
#- Lightning App Version (e.g., 0.5.2):
#- PyTorch Version (e.g., 2.0):
#- Python version (e.g., 3.9):
#- OS (e.g., Linux):
#- CUDA/cuDNN version:
#- GPU models and configuration:
#- How you installed Lightning(`conda`, `pip`, source):
#- Running environment of LightningApp (e.g. local, cloud):
```

### More info

_No response_

cc @carmocca @awaelchli

Read the linked issue #7694 first, then trace the ModelCheckpoint and validation scheduling behavior for steps where both occur. Done means validation runs before checkpointing on the same step so the saved model uses metrics from the current step; the payload names no files or tests to run.

Written by the indexing model from the issue text.