cleanup example project

Author: benpankow

examples/docs_beta_snippets/docs_beta_snippets/guides/components/existing-project/1-tree.txt

@@ -9,8 +9,6 @@ tree
 ├── my_existing_project_tests
 │   ├── __init__.py
 │   └── test_assets.py
-├── pyproject.toml
-├── setup.cfg
-└── setup.py
+└── pyproject.toml
 
-3 directories, 9 files
+3 directories, 7 files

examples/docs_beta_snippets/docs_beta_snippets_tests/snippet_checks/guides/components/my-existing-project/README.md

@@ -1,47 +1 @@
-# my_existing_project
-
-This is a [Dagster](https://dagster.io/) project scaffolded with [`dagster project scaffold`](https://docs.dagster.io/guides/build/projects/creating-a-new-project).
-
-## Getting started
-
-First, install your Dagster code location as a Python package. By using the --editable flag, pip will install your Python package in ["editable mode"](https://pip.pypa.io/en/latest/topics/local-project-installs/#editable-installs) so that as you develop, local code changes will automatically apply.
-
-```bash
-pip install -e ".[dev]"
-```
-
-Then, start the Dagster UI web server:
-
-```bash
-dagster dev
-```
-
-Open http://localhost:3000 with your browser to see the project.
-
-You can start writing assets in `my_existing_project/assets.py`. The assets are automatically loaded into the Dagster code location as you define them.
-
-## Development
-
-### Adding new Python dependencies
-
-You can specify new Python dependencies in `setup.py`.
-
-### Unit testing
-
-Tests are in the `my_existing_project_tests` directory and you can run tests using `pytest`:
-
-```bash
-pytest my_existing_project_tests
-```
-
-### Schedules and sensors
-
-If you want to enable Dagster [Schedules](https://docs.dagster.io/guides/automate/schedules/) or [Sensors](https://docs.dagster.io/guides/automate/sensors/) for your jobs, the [Dagster Daemon](https://docs.dagster.io/guides/deploy/execution/dagster-daemon) process must be running. This is done automatically when you run `dagster dev`.
-
-Once your Dagster Daemon is running, you can start turning on schedules and sensors for your jobs.
-
-## Deploy on Dagster Cloud
-
-The easiest way to deploy your Dagster project is to use Dagster Cloud.
-
-Check out the [Dagster Cloud Documentation](https://docs.dagster.cloud) to learn more.
+Sample existing project for testing docs for the "Making an existing code location components-compatible" guide.

examples/docs_beta_snippets/docs_beta_snippets_tests/snippet_checks/guides/components/my-existing-project/setup.cfg

@@ -65,7 +65,7 @@ def _run_command(
         print(f"Ran command {cmd}")  # noqa: T201
         print("Got output:")  # noqa: T201
         print(e.output.decode("utf-8").strip())  # noqa: T201
-        raise e
+        raise
 
     pwd = PWD_REGEX.search(actual_output).group(1)
     actual_output = PWD_REGEX.sub("", actual_output)