Remove experiment tracking setup from viz starters

README.md

@@ -14,11 +14,11 @@ The following aliases are available:
 
 * [Alias `spaceflights-pandas`](spaceflights-pandas): The [spaceflights tutorial](https://docs.kedro.org/en/stable/tutorial/spaceflights_tutorial.html) example code.
 
-* [Alias `spaceflights-pandas-viz`](spaceflights-pandas-viz): The [spaceflights tutorial](https://docs.kedro.org/en/stable/tutorial/spaceflights_tutorial.html) example code with viz feature examples (experiment tracking, plotting with plotly and matplotlib).
+* [Alias `spaceflights-pandas-viz`](spaceflights-pandas-viz): The [spaceflights tutorial](https://docs.kedro.org/en/stable/tutorial/spaceflights_tutorial.html) example code with viz feature examples (plotting with plotly and matplotlib).
 
 * [Alias `spaceflights-pyspark`](spaceflights-pyspark): An alternative Kedro Spaceflights example, using [PySpark](https://docs.kedro.org/en/stable/integrations/pyspark_integration.html).
 
-* [Alias `spaceflights-pyspark-viz`](spaceflights-pyspark-viz): An alternative Kedro Spaceflights example, using [PySpark](https://docs.kedro.org/en/stable/integrations/pyspark_integration.html) with viz feature examples (experiment tracking, plotting with plotly and matplotlib).
+* [Alias `spaceflights-pyspark-viz`](spaceflights-pyspark-viz): An alternative Kedro Spaceflights example, using [PySpark](https://docs.kedro.org/en/stable/integrations/pyspark_integration.html) with viz feature examples (plotting with plotly and matplotlib).
 
 
 Archived starters which are no longer maintained:

spaceflights-pandas-viz/README.md

@@ -2,7 +2,7 @@
 
 ## Overview
 
-This is a completed version of the [spaceflights tutorial project](https://docs.kedro.org/en/stable/tutorial/spaceflights_tutorial.html) described in the [online Kedro documentation](https://docs.kedro.org) and the extra tutorial sections on [visualisation with Kedro-Viz](https://docs.kedro.org/projects/kedro-viz/en/stable/kedro-viz_visualisation.html) and [experiment tracking with Kedro-Viz](https://docs.kedro.org/projects/kedro-viz/en/stable/experiment_tracking.html). It includes the data required to run the project. 
+This is a completed version of the [spaceflights tutorial project](https://docs.kedro.org/en/stable/tutorial/spaceflights_tutorial.html) described in the [online Kedro documentation](https://docs.kedro.org) and the extra tutorial sections on [visualisation with Kedro-Viz](https://docs.kedro.org/projects/kedro-viz/en/stable/kedro-viz_visualisation.html). It includes the data required to run the project. 
 
 To create a project based on this starter, [ensure you have installed Kedro into a virtual environment](https://docs.kedro.org/en/stable/get_started/install.html). Then use the following command:
 

spaceflights-pandas-viz/{{ cookiecutter.repo_name }}/conf/base/catalog.yml

@@ -70,14 +70,6 @@ regressor:
   filepath: data/06_models/regressor.pickle
   versioned: true
 
-metrics:
-  type: tracking.MetricsDataset
-  filepath: data/09_tracking/metrics.json
-
-companies_columns:
-  type: tracking.JSONDataset
-  filepath: data/09_tracking/companies_columns.json
-
 shuttle_passenger_capacity_plot_exp:
   type: plotly.PlotlyDataset
   filepath: data/08_reporting/shuttle_passenger_capacity_plot_exp.json

spaceflights-pandas-viz/{{ cookiecutter.repo_name }}/src/{{ cookiecutter.python_package }}/pipelines/data_processing/nodes.py

@@ -29,7 +29,7 @@ def preprocess_companies(companies: pd.DataFrame) -> tuple[pd.DataFrame, dict]:
     """
     companies["iata_approved"] = _is_true(companies["iata_approved"])
     companies["company_rating"] = _parse_percentage(companies["company_rating"])
-    return companies, {"columns": companies.columns.tolist(), "data_type": "companies"}
+    return companies
 
 
 def preprocess_shuttles(shuttles: pd.DataFrame) -> pd.DataFrame:

spaceflights-pandas-viz/{{ cookiecutter.repo_name }}/src/{{ cookiecutter.python_package }}/pipelines/data_processing/pipeline.py

@@ -9,7 +9,7 @@ def create_pipeline(**kwargs) -> Pipeline:
             node(
                 func=preprocess_companies,
                 inputs="companies",
-                outputs=["preprocessed_companies", "companies_columns"],
+                outputs="preprocessed_companies",
                 name="preprocess_companies_node",
             ),
             node(

spaceflights-pandas-viz/{{ cookiecutter.repo_name }}/src/{{ cookiecutter.python_package }}/pipelines/data_science/pipeline.py

@@ -22,7 +22,7 @@ def create_pipeline(**kwargs) -> Pipeline:
                 func=evaluate_model,
                 inputs=["regressor", "X_test", "y_test"],
                 name="evaluate_model_node",
-                outputs="metrics",
+                outputs=None,
             ),
         ]
     )

spaceflights-pandas-viz/{{ cookiecutter.repo_name }}/src/{{ cookiecutter.python_package }}/settings.py

@@ -12,19 +12,13 @@
 # Installed plugins for which to disable hook auto-registration.
 # DISABLE_HOOKS_FOR_PLUGINS = ("kedro-viz",)
 
-from pathlib import Path  # noqa: E402
-
-from kedro_viz.integrations.kedro.sqlite_store import SQLiteStore  # noqa: E402
-
 # Class that manages storing KedroSession data.
-SESSION_STORE_CLASS = SQLiteStore
-
-# Setup for Experiment Tracking
-# The SQLite DB required for experiment tracking is stored by default
-# (supported from python >= 3.9 and Kedro-Viz 9.2.0) in the .viz folder
-# of your project. To store it in another directory, provide the keyword argument
-# `SESSION_STORE_ARGS` to pass to the `SESSION_STORE_CLASS` constructor.
-SESSION_STORE_ARGS = {"path": str(Path(__file__).parents[2])}
+# from kedro.framework.session.store import BaseSessionStore
+# SESSION_STORE_CLASS = BaseSessionStore
+# Keyword arguments to pass to the `SESSION_STORE_CLASS` constructor.
+# SESSION_STORE_ARGS = {
+#     "path": "./sessions"
+# }
 
 # Directory that holds configuration.
 # CONF_SOURCE = "conf"

spaceflights-pyspark-viz/README.md

@@ -2,8 +2,7 @@
 
 ## Overview
 
-This is a completed version of the [spaceflights tutorial project](https://docs.kedro.org/en/stable/tutorial/spaceflights_tutorial.html) and the extra tutorial sections on [visualisation with Kedro-Viz](https://docs.kedro.org/projects/kedro-viz/en/stable/kedro-viz_visualisation.html) and [experiment tracking with Kedro-Viz](https://docs.kedro.org/projects/kedro-viz/en/stable/experiment_tracking.html) with a PySpark setup that originates from the [Kedro documentation about how to work with PySpark](https://docs.kedro.org/en/stable/integrations/pyspark_integration.html). 
-This project includes the data required to run it. The code in this repository demonstrates best practice when working with Kedro and PySpark.
+This is a completed version of the [spaceflights tutorial project](https://docs.kedro.org/en/stable/tutorial/spaceflights_tutorial.html) and the extra tutorial sections on [visualisation with Kedro-Viz](https://docs.kedro.org/projects/kedro-viz/en/stable/kedro-viz_visualisation.html). This project includes the data required to run it. The code in this repository demonstrates best practice when working with Kedro and PySpark.
 
 To create a project based on this starter, [ensure you have installed Kedro into a virtual environment](https://docs.kedro.org/en/stable/get_started/install.html). Then use the following command:
 

spaceflights-pyspark-viz/{{ cookiecutter.repo_name }}/conf/base/catalog.yml

@@ -140,14 +140,6 @@ regressor:
   filepath: data/06_models/regressor.pickle
   versioned: true
 
-metrics:
-  type: tracking.MetricsDataset
-  filepath: data/09_tracking/metrics.json
-
-companies_columns:
-  type: tracking.JSONDataset
-  filepath: data/09_tracking/companies_columns.json
-
 shuttle_passenger_capacity_plot_exp:
   type: plotly.PlotlyDataset
   filepath: data/08_reporting/shuttle_passenger_capacity_plot_exp.json

spaceflights-pyspark-viz/{{ cookiecutter.repo_name }}/src/{{ cookiecutter.python_package }}/pipelines/data_processing/nodes.py

@@ -37,7 +37,7 @@ def preprocess_companies(companies: SparkDataFrame) -> tuple[SparkDataFrame, dic
 
     # Drop columns that aren't used for model training
     companies = companies.drop('company_location', 'total_fleet_count')
-    return companies, {"columns": companies.columns, "data_type": "companies"}
+    return companies
 
 
 def load_shuttles_to_csv(shuttles: pd.DataFrame) -> pd.DataFrame:

spaceflights-pyspark-viz/{{ cookiecutter.repo_name }}/src/{{ cookiecutter.python_package }}/pipelines/data_processing/pipeline.py

@@ -21,7 +21,7 @@ def create_pipeline(**kwargs) -> Pipeline:
             node(
                 func=preprocess_companies,
                 inputs="companies",
-                outputs=["preprocessed_companies", "companies_columns"],
+                outputs="preprocessed_companies",
                 name="preprocess_companies_node",
             ),
             node(

spaceflights-pyspark-viz/{{ cookiecutter.repo_name }}/src/{{ cookiecutter.python_package }}/pipelines/data_science/pipeline.py

@@ -21,7 +21,7 @@ def create_pipeline(**kwargs) -> Pipeline:
             node(
                 func=evaluate_model,
                 inputs=["regressor", "X_test", "y_test"],
-                outputs="metrics",
+                outputs=None,
                 name="evaluate_model_node",
             ),
         ]

spaceflights-pyspark-viz/{{ cookiecutter.repo_name }}/src/{{ cookiecutter.python_package }}/settings.py

@@ -11,19 +11,13 @@
 # Installed plugins for which to disable hook auto-registration.
 # DISABLE_HOOKS_FOR_PLUGINS = ("kedro-viz",)
 
-from pathlib import Path  # noqa: E402
-
-from kedro_viz.integrations.kedro.sqlite_store import SQLiteStore  # noqa: E402
-
 # Class that manages storing KedroSession data.
-SESSION_STORE_CLASS = SQLiteStore
-
-# Setup for Experiment Tracking
-# The SQLite DB required for experiment tracking is stored by default
-# (supported from python >= 3.9 and Kedro-Viz 9.2.0) in the .viz folder
-# of your project. To store it in another directory, provide the keyword argument
-# `SESSION_STORE_ARGS` to pass to the `SESSION_STORE_CLASS` constructor.
-SESSION_STORE_ARGS = {"path": str(Path(__file__).parents[2])}
+# from kedro.framework.session.store import BaseSessionStore
+# SESSION_STORE_CLASS = BaseSessionStore
+# Keyword arguments to pass to the `SESSION_STORE_CLASS` constructor.
+# SESSION_STORE_ARGS = {
+#     "path": "./sessions"
+# }
 
 # Directory that holds configuration.
 # CONF_SOURCE = "conf"