first version of model runner and model feedback (#70)

* Implemented model.py

- Need to run within the RDAgent folder (relevant path)
- Each time copy a template & insert code & run qlib & store result back to experiment

* Create model.py

* Create conf.yaml

This is the sample conf.yaml to be copied each time.

This has gone several times of iteration and is now working for both tabular and Time-Series data.

* Create read_exp.py

This is to read the results within Qlib

* Create ReadMe.md

* Update model.py

* Create test_model.py

A testing file that separates model code generation and running&feedback section.

* move the template folder

* help xisen finish the model runner

* help xisen fix improve model feedback generation

* delete debug file

* rename readme.md

---------

Co-authored-by: Xisen Wang <118058822+Xisen-Wang@users.noreply.github.com>

rdagent/components/runner/conf.py

@@ -0,0 +1,19 @@
+from __future__ import annotations
+
+from pathlib import Path
+
+from dotenv import load_dotenv
+from pydantic_settings import BaseSettings
+
+# make sure that env variable is loaded while calling Config()
+load_dotenv(verbose=True, override=True)
+
+from pydantic_settings import BaseSettings
+
+
+class RunnerSettings(BaseSettings):
+    runner_cache_result: bool = True  # whether to cache the result of the docker execution
+    runner_cache_path: str = str(Path.cwd() / "runner_cache/")  # the path to store the cache
+
+
+RUNNER_SETTINGS = RunnerSettings()