Add troubleshooting note in CONTRIBUTING.md

CONTRIBUTING.md

@@ -139,6 +139,11 @@ Now you're ready to begin development. Start the development server:
 npm start
 ```
 
+> _*Note*_: If you face any issues running this, we recommend installing Node.js v18:
+> 
+> 1. Delete `package-lock.json` and `node_modules`.
+> 2. Run `npm install` to reinstall dependencies.
+
 This will serve the app at [localhost:4141](http://localhost:4141/), and watch files in `/src` for changes. It will also update the `/lib` directory, which contains a Babel-compiled copy of the source. This directory is exported to `npm`, and is used when importing as a React component into another application. It is updated automatically when you save in case you need to test/debug it locally (e.g. with `npm link`). You can also update it manually, by running
 
 ```bash

package/.pylintrc

@@ -50,7 +50,7 @@ confidence=
 # --enable=similarities". If you want to run only the classes checker, but have
 # no Warning level messages displayed, use"--disable=all --enable=classes
 # --disable=W"
-disable=ungrouped-imports,attribute-defined-outside-init,too-many-arguments,duplicate-code,fixme
+disable=ungrouped-imports,attribute-defined-outside-init,too-many-arguments,duplicate-code,too-many-positional-arguments,fixme
 
 # Enable the message, report, category or checker with the given id(s). You can
 # either give multiple identifier separated by comma (,) or put this option

package/kedro_viz/api/apps.py

@@ -42,7 +42,7 @@ def _create_base_api_app() -> FastAPI:
         @app.middleware("http")
         async def set_secure_headers(request, call_next):
             response = await call_next(request)
-            secure_headers.framework.fastapi(response)
+            secure_headers.framework.fastapi(response)  # pylint: disable=no-member
             return response
 
     return app

package/kedro_viz/data_access/repositories/catalog.py

@@ -131,8 +131,7 @@ def get_dataset(self, dataset_name: str) -> Optional["AbstractDataset"]:
             else:  # pragma: no cover
                 dataset_obj = self._catalog._get_dataset(dataset_name)
         except DatasetNotFoundError:
-            # pylint: disable=abstract-class-instantiated
-            dataset_obj = MemoryDataset()  # type: ignore[abstract]
+            dataset_obj = MemoryDataset()  # pylint: disable=abstract-class-instantiated
 
         return dataset_obj