[impv] Auto create the whole task workspace to make the task the same workspace when running locally and on the DolphinScheduler platform

For example, If I have the workspace like this: https://github.com/pytorch/examples/tree/main/word_language_model

We can submit the task
```python
# [start workflow]
from pydolphinscheduler.core import Workflow
from pydolphinscheduler.core.resource import Resource, LocalResource
from pydolphinscheduler.tasks import Shell

with Workflow(
name="auto_resources_example",
) as workflow:
# [start use_exists_resources]
task_use_resource = Shell(
name="example",
command=f"python main.py --cuda",
auto_resource=True
)
# [end use_exists_resources]

workflow.run()
# [end workflow]
```

Then, all the files will be uploaded to the resource center.
And there is another best way to track the file version, If this is the git repository, we only record the git repository, version, and diff.
Then, we can reproduce the workspace in dolphinscheduler. (Inspired by ClearML)
So, After developing a project locally, we can directly submit it to DolphinScheduler and run it directly. Except for some inconsistent environment variables.

Start with the pydolphinscheduler.core.Workflow and tasks.Shell entry points shown in the example, including workflow.run() and auto_resource=True; the example workspace is word_language_model with main.py. Determine how the resource center currently receives files, then define what is needed for a local workspace or Git repository version and diff to be reproducible on DolphinScheduler, while accounting for inconsistent environment variables.

Written by the indexing model from the issue text.