Fix grammar, casing, and typo across testing docs and prek scripts (#72252)

- Follow Dag naming conventions in dag_testing.rst and airflow_e2e_tests.rst.
- Fix missing preposition and casing in airflow_e2e_tests.rst.
- Fix typo 'consolidte' -> 'consolidate' in check_supervisor_schemas_versions.py.

Author: CharoenwitKunna

contributing-docs/testing/airflow_e2e_tests.rst

@@ -49,11 +49,11 @@ Running E2E Tests
 Adding new E2E Tests
 --------------------
 
-1. To Add new Dags for E2E tests, you can add them to the dags folder in ``./airflow-e2e-tests/tests/dags`` and update
-the DAG_IDS constant in ``./airflow-e2e-tests/tests/basic_tests/test_example_dags.py`` file to include the new Dags ids.
-This will trigger Dag execution and validate the Dag run successfully.
+1. To add new Dags for E2E tests, you can add them to the dags folder in ``./airflow-e2e-tests/tests/dags`` and update
+the DAG_IDS constant in ``./airflow-e2e-tests/tests/basic_tests/test_example_dags.py`` file to include the new Dag IDs.
+This will trigger Dag execution and validate that the Dag runs successfully.
 
-2. To add new test cases, create a new test file or add it any existing files in the ``./airflow-e2e-tests/tests/*``
+2. To add new test cases, create a new test file or add it to any existing files in ``./airflow-e2e-tests/tests/*``.
 
 
 Airflow E2E tests in CI

contributing-docs/testing/dag_testing.rst

@@ -20,7 +20,7 @@ Dag Testing
 ===========
 
 To ease and speed up the process of developing Dags, you can use
-py:meth:`~airflow.models.dag.DAG.test`, which will run a dag in a single process.
+py:meth:`~airflow.models.dag.DAG.test`, which will run a Dag in a single process.
 
 To set up the IDE:
 
@@ -35,15 +35,15 @@ To set up the IDE:
 2. Run and debug the Dag file.
 
 
-You can also run the dag in the same manner with the Airflow CLI command ``airflow dags test``:
+You can also run the Dag in the same manner with the Airflow CLI command ``airflow dags test``:
 
 .. code-block:: bash
 
     # airflow dags test [dag_id] [execution_date]
     airflow dags test example_branch_operator 2018-01-01
 
 By default ``/files/dags`` folder is mounted from your local ``<AIRFLOW_SOURCES>/files/dags`` and this is
-the directory used by Airflow scheduler and webserver to scan dags for. You can place your dags there
+the directory used by Airflow scheduler and webserver to scan Dags for. You can place your Dags there
 to test them.
 
 The Dags can be run in the main version of Airflow but they also work

scripts/ci/prek/check_supervisor_schemas_versions.py

@@ -57,7 +57,7 @@
 DUMP_SCRIPT = Path(__file__).parent / "dump_supervisor_schemas.py"
 
 
-# TODO: We should consolidte the common logic with check_execution_api_versions.py into common_prek_utils
+# TODO: We should consolidate the common logic with check_execution_api_versions.py into common_prek_utils
 def get_target_branch() -> str:
     """Branch to compare against. GITHUB_BASE_REF for PRs, DEFAULT_BRANCH in CI, else main."""
     return os.environ.get("GITHUB_BASE_REF") or os.environ.get("DEFAULT_BRANCH") or "main"