From c2c8b9acd210010a9bf774fd950cbff042c9e6d9 Mon Sep 17 00:00:00 2001 From: Sajid Alam Date: Tue, 3 Sep 2024 12:43:37 +0100 Subject: [PATCH 1/3] update preview example Signed-off-by: Sajid Alam --- docs/source/preview_custom_datasets.md | 26 +++++++++++++++++--------- docs/source/preview_datasets.md | 2 ++ 2 files changed, 19 insertions(+), 9 deletions(-) diff --git a/docs/source/preview_custom_datasets.md b/docs/source/preview_custom_datasets.md index 99fc3f8c79..8defc11da8 100644 --- a/docs/source/preview_custom_datasets.md +++ b/docs/source/preview_custom_datasets.md @@ -11,7 +11,14 @@ PlotlyPreview = NewType("PlotlyPreview", dict) JSONPreview = NewType("JSONPreview", dict) ``` -Arbitrary arguments can be included in the `preview()` function, which can be later specified in the `catalog.yml` file. +## TablePreview +For `TablePreview`, the returned dictionary must contain the following keys: + +`index`: A list of row indices. +`columns`: A list of column names. +`data`: A list of rows, where each row is itself a list of values. + +Arbitrary arguments can be included in the `preview()` function, which can be later specified in the `catalog.yml` file. Ensure that these arguments (like `nrows`, `ncolumns`, and `filters`) match the structure of your dataset. Below is an example demonstrating how to implement the `preview()` function with user-specified arguments for a `CustomDataset` class that utilizes `TablePreview` to enable previewing tabular data on Kedro-Viz: @@ -36,15 +43,16 @@ from kedro_datasets._typing import TablePreview class CustomDataset: def preview(self, nrows, ncolumns, filters) -> TablePreview: - filtered_data = self.data + data = self.load() for column, value in filters.items(): - filtered_data = filtered_data[filtered_data[column] == value] - subset = filtered_data.iloc[:nrows, :ncolumns] - df_dict = {} - for column in subset.columns: - df_dict[column] = subset[column] - return df_dict - + data = data[data[column] == value] + subset = data.iloc[:nrows, :ncolumns] + preview_data = { + 'index': list(subset.index), # List of row indices + 'columns': list(subset.columns), # List of column names + 'data': subset.values.tolist() # List of rows, where each row is a list of values + } + return preview_data ``` diff --git a/docs/source/preview_datasets.md b/docs/source/preview_datasets.md index 474822e1f6..1d6b455e22 100644 --- a/docs/source/preview_datasets.md +++ b/docs/source/preview_datasets.md @@ -57,6 +57,8 @@ companies: preview: false ``` +You can also disable previews globally through the settings menu on Kedro-Viz. + ```{note} Starting from Kedro-Viz 9.2.0, previews are disabled by default for the CLI commands `kedro viz deploy` and `kedro viz build`. You can control this behavior using the `--include-previews` flag with these commands. For `kedro viz run`, previews are enabled by default and can be controlled from the publish modal dialog, refer to the [Publish and share](./share_kedro_viz) for more instructions. ``` \ No newline at end of file From efd26a06b5100b7fb9a46143d6ac40460265995e Mon Sep 17 00:00:00 2001 From: Sajid Alam Date: Thu, 5 Sep 2024 10:43:44 +0100 Subject: [PATCH 2/3] add further examples Signed-off-by: Sajid Alam --- docs/source/preview_custom_datasets.md | 53 +++++++++++++++++++++++++- 1 file changed, 51 insertions(+), 2 deletions(-) diff --git a/docs/source/preview_custom_datasets.md b/docs/source/preview_custom_datasets.md index 8defc11da8..c2ac27fa72 100644 --- a/docs/source/preview_custom_datasets.md +++ b/docs/source/preview_custom_datasets.md @@ -24,7 +24,7 @@ Below is an example demonstrating how to implement the `preview()` function with ```yaml companies: - type: CustomDataset + type: CustomTableDataset filepath: ${_base_location}/01_raw/companies.csv metadata: kedro-viz: @@ -41,7 +41,7 @@ companies: from kedro_datasets._typing import TablePreview -class CustomDataset: +class CustomTableDataset: def preview(self, nrows, ncolumns, filters) -> TablePreview: data = self.load() for column, value in filters.items(): @@ -55,6 +55,55 @@ class CustomDataset: return preview_data ``` +## ImagePreview +For `ImagePreview`, the function should return a base64-encoded string representing the image. This is typically used for datasets that output visual data such as plots or images. + +Below is an example implementation: + +```python + +from kedro_datasets._typing import ImagePreview + +class CustomImageDataset: + def preview(self) -> ImagePreview: + image_path = self._get_image_path() + with open(image_path, "rb") as image_file: + encoded_string = base64.b64encode(image_file.read()).decode('utf-8') + return ImagePreview(encoded_string) +``` + +## PlotlyPreview +For `PlotlyPreview`, the function should return a dictionary containing Plotly figure data. This includes the figure's `data` and `layout` keys. + +Below is an example implementation: + +```python + +from kedro_datasets._typing import PlotlyPreview + +class CustomPlotlyDataset: + def preview(self) -> PlotlyPreview: + figure = self._load_plotly_figure() + return PlotlyPreview({ + "data": figure["data"], + "layout": figure["layout"] + }) +``` + +## JSONPreview +For `JSONPreview`, the function should return a dictionary representing the `JSON` data. This is useful for previewing complex nested data structures. + +Below is an example implementation: + +```python + +from kedro_datasets._typing import JSONPreview + +class CustomJSONDataset: + def preview(self) -> JSONPreview: + json_data = self._load_json_data() + return JSONPreview(json.dumps(json_data)) +``` ## Examples of Previews From 67194647f842745d1c5f931a55ca28e872b5402b Mon Sep 17 00:00:00 2001 From: Sajid Alam Date: Mon, 9 Sep 2024 14:31:43 +0100 Subject: [PATCH 3/3] changes based on review Signed-off-by: Sajid Alam --- docs/source/images/preview_datasets_json.png | Bin 0 -> 214374 bytes docs/source/preview_custom_datasets.md | 27 +++++-------------- 2 files changed, 7 insertions(+), 20 deletions(-) create mode 100644 docs/source/images/preview_datasets_json.png diff --git a/docs/source/images/preview_datasets_json.png b/docs/source/images/preview_datasets_json.png new file mode 100644 index 0000000000000000000000000000000000000000..7b160e91017c704e2162e03d42ded2984f3b2f33 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