style: convert CLI flags from snake_case to kebab-case (#1198)

Co-authored-by: Young <afe.young@gmail.com>

README.md

@@ -270,12 +270,12 @@ The **[🖥️ Live Demo](https://rdagent.azurewebsites.net/)** is implemented b
 - Run the **Automated Quantitative Trading & Factors Extraction from Financial Reports**:  Run the [Qlib](http://github.com/microsoft/qlib) factor extraction and implementation application based on financial reports
   ```sh
   # 1. Generally, you can run this scenario using the following command:
-  rdagent fin_factor_report --report_folder=<Your financial reports folder path>
+  rdagent fin_factor_report --report-folder=<Your financial reports folder path>
 
   # 2. Specifically, you need to prepare some financial reports first. You can follow this concrete example:
   wget https://github.com/SunsetWolf/rdagent_resource/releases/download/reports/all_reports.zip
   unzip all_reports.zip -d git_ignore_folder/reports
-  rdagent fin_factor_report --report_folder=git_ignore_folder/reports
+  rdagent fin_factor_report --report-folder=git_ignore_folder/reports
   ```
 
 - Run the **Automated Model Research & Development Copilot**: model extraction and implementation application
@@ -340,7 +340,7 @@ The **[🖥️ Live Demo](https://rdagent.azurewebsites.net/)** is implemented b
 - You can run the following command for our demo program to see the run logs.
 
   ```sh
-  rdagent ui --port 19899 --log_dir <your log folder like "log/"> --data_science <True or False>
+  rdagent ui --port 19899 --log-dir <your log folder like "log/"> --data_science <True or False>
   ```
 
 - About the `data_science` parameter: If you want to see the logs of the data science scenario, set the `data_science` parameter to `True`; otherwise set it to `False`.

docs/scens/data_copilot_fin.rst

@@ -125,7 +125,7 @@ You can try our demo by running the following command:
 
     .. code-block:: sh
 
-        rdagent fin_factor_report --report_folder=git_ignore_folder/reports
+        rdagent fin_factor_report --report-folder=git_ignore_folder/reports
 
   - Alternatively, you can store the paths of the reports in `report_result_json_file_path`. The format should be:
 

docs/scens/data_science.rst

@@ -265,7 +265,7 @@ By leveraging the **Data Science** Agent, researchers and developers can acceler
 
       .. code-block:: sh
 
-          rdagent ui --port <custom port> --log_dir <your log folder like "log/"> --data_science True
+          rdagent ui --port <custom port> --log-dir <your log folder like "log/"> --data_science True
 
     - Then you can input the log path and visualize the R&D process.
 
@@ -513,7 +513,7 @@ By utilizing the **Kaggle Agent**, data scientists can craft innovative solution
 
       .. code-block:: sh
 
-          rdagent ui --port <custom port> --log_dir <your log folder like "log/"> --data_science True
+          rdagent ui --port <custom port> --log-dir <your log folder like "log/"> --data_science True
 
     - Then you can input the log path and visualize the R&D process.
 
@@ -529,6 +529,6 @@ By utilizing the **Kaggle Agent**, data scientists can craft innovative solution
 
     .. code-block:: sh
 
-      rdagent grade_summary --log_folder=<url_to_log>
+      rdagent grade_summary --log-folder=<url_to_log>
 
     Here, <url_to_log> refers to the parent directory of the log folder generated during the run.

docs/scens/model_copilot_general.rst

@@ -96,4 +96,4 @@ You can try our demo by running the following command:
   
     .. code-block:: sh
 
-        rdagent general_model --report_file_path=<path_to_pdf_file>
+        rdagent general_model --report-file-path=<path_to_pdf_file>

docs/ui.rst

@@ -18,7 +18,7 @@ In `RD-Agent/` folder, run:
 
 .. code-block:: bash
 
-    rdagent ui --port <port> --log_dir <log_dir like "log/"> [--debug]
+    rdagent ui --port <port> --log-dir <log_dir like "log/"> [--debug]
 
 This will start a web app on `http://localhost:<port>`.
 

rdagent/scenarios/data_science/example/eval/playground-series-s4e9/grade.py

@@ -61,7 +61,7 @@ if __name__ == "__main__":
     }
 
     # The output must be in json format. To configure the full output,
-    # you can run the command `rdagent grade_summary --log_folder` to summarize the scores at the end of the program.
+    # you can run the command `rdagent grade_summary --log-folder` to summarize the scores at the end of the program.
     # If you don't need it, you can just provide the `competition_id`` and `score``.
     print(
         json.dumps(