Add TFDV, TFMA, and Table visualization support for Python based visu…

…alizations (#1898)

* Added table and tfdv visualization

Also fixed issue surrounding ApiVisualizationType enum

* Fixed table visualization

* Removed byte limit
* Fixed issue where headers would not properly be applied
* Fixed issue where table would not be intractable

* Updated table visualizaiton to reflect changes made to dependency injection

* Fixed bug where checking if headers is provided to table visualizations could crash visualization

* Added TFMA visualization

* Updated new visualizations to match syntax of #1878

* Updated test snapshots to account for TFMA visualization

* Small if statement synax changes

* Add flake8 noqa comments to table.py and tfma.py

backend/api/visualization.proto

@@ -77,6 +77,9 @@ message Visualization {
   // API.
   enum Type {
     ROC_CURVE = 0;
+    TFDV = 1;
+    TFMA = 2;
+    TABLE = 3;
   };
   Type type = 1;
 

backend/src/apiserver/visualization/requirements.txt

@@ -1,6 +1,7 @@
 bokeh==1.2.0
 gcsfs==0.2.3
 google-api-python-client==1.7.9
+itables==0.1.0
 ipykernel==5.1.1
 jupyter_client==5.2.4
 nbconvert==5.5.0

backend/src/apiserver/visualization/table.py

@@ -0,0 +1,48 @@
+# Copyright 2019 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#      http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+# gcsfs is required for pandas GCS integration.
+import gcsfs
+from itables import show
+# itables is requires as importing it changes the way pandas DataFrames are
+# rendered.
+import itables.interactive
+import itables.options as opts
+import pandas as pd
+from tensorflow.python.lib.io import file_io
+
+# flake8: noqa TODO
+
+# Remove maxByte limit to prevent issues where entire table cannot be rendered
+# due to size of data.
+opts.maxBytes = 0
+
+dfs = []
+files = file_io.get_matching_files(source)
+
+# Read data from file and write it to a DataFrame object.
+if variables.get("headers", False) == False:
+    # If no headers are provided, use the first row as headers
+    for f in files:
+        dfs.append(pd.read_csv(f))
+else:
+    # If headers are provided, do not set headers for DataFrames
+    for f in files:
+        dfs.append(pd.read_csv(f, header=None))
+
+# Display DataFrame as output.
+df = pd.concat(dfs)
+if variables.get("headers", False) != False:
+    df.columns = variables.get("headers")
+show(df)

backend/src/apiserver/visualization/tfma.py

@@ -0,0 +1,24 @@
+# Copyright 2019 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#      http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import tensorflow_model_analysis as tfma
+
+# flake8: noqa TODO
+
+if variables.get("slicing_column", False) == False {
+    tfma.view.render_slicing_metrics(source)
+} else {
+    tfma.view.render_slicing_metrics(source, slicing_column=variables.get("slicing_column"))
+}
+

backend/src/apiserver/visualization/third_party_licenses.csv

@@ -53,6 +53,7 @@ ipykernel,https://github.com/ipython/ipykernel/blob/master/COPYING.md,BSD-3
 ipython,https://github.com/ipython/ipython/blob/master/LICENSE,BSD-3
 ipython-genutils,https://github.com/ipython/ipython_genutils/blob/master/COPYING.md,BSD-3
 ipywidgets,https://github.com/jupyter-widgets/ipywidgets/blob/master/LICENSE,BSD-3
+itables,https://github.com/mwouts/itables/blob/master/LICENSE,MIT
 jedi,https://github.com/davidhalter/jedi/blob/master/LICENSE.txt,MIT
 joblib,https://github.com/joblib/joblib/blob/master/LICENSE.txt,BSD-3
 jsonschema,https://github.com/Julian/jsonschema/blob/master/COPYING,MIT
@@ -83,6 +84,7 @@ pyarrow,https://github.com/apache/arrow/blob/master/LICENSE.txt,Apache 2.0
 pyasn1,https://github.com/etingof/pyasn1/blob/master/LICENSE.rst,BSD-2
 pyasn1-modules,https://github.com/etingof/pyasn1-modules/blob/master/LICENSE.txt,BSD-2
 pydot,https://github.com/pydot/pydot/blob/master/LICENSE,MIT
+pymongo,https://github.com/mongodb/mongo-python-driver/blob/master/LICENSE,Apache 2.0
 pyparsing,https://github.com/pyparsing/pyparsing/blob/master/LICENSE,MIT
 pyrsistent,https://github.com/tobgu/pyrsistent/blob/master/LICENCE.mit,MIT
 python-dateutil,https://github.com/dateutil/dateutil/blob/master/LICENSE,Apache 2.0

frontend/src/apis/visualization/api.ts

@@ -148,7 +148,10 @@ export interface ApiVisualization {
  * @enum {string}
  */
 export enum ApiVisualizationType {
-    CURVE = <any> 'ROC_CURVE'
+    ROCCURVE = <any> 'ROC_CURVE',
+    TFDV = <any> 'TFDV',
+    TFMA = <any> 'TFMA',
+    TABLE = <any> 'TABLE'
 }
 
 /**

frontend/src/components/viewers/VisualizationCreator.test.tsx

@@ -84,7 +84,7 @@ describe('VisualizationCreator', () => {
     const tree = shallow(<VisualizationCreator configs={[config]} />);
     tree.setState({
       // source by default is set to ''
-      selectedType: ApiVisualizationType.CURVE,
+      selectedType: ApiVisualizationType.ROCCURVE,
     });
     expect(tree.find('BusyButton').at(0).prop('disabled')).toBe(true);
   });
@@ -96,7 +96,7 @@ describe('VisualizationCreator', () => {
     };
     const tree = shallow(<VisualizationCreator configs={[config]} />);
     tree.setState({
-      selectedType: ApiVisualizationType.CURVE,
+      selectedType: ApiVisualizationType.ROCCURVE,
       source: 'gs://ml-pipeline/data.csv',
     });
     expect(tree.find('BusyButton').at(0).prop('disabled')).toBe(true);
@@ -110,7 +110,7 @@ describe('VisualizationCreator', () => {
     };
     const tree = shallow(<VisualizationCreator configs={[config]} />);
     tree.setState({
-      selectedType: ApiVisualizationType.CURVE,
+      selectedType: ApiVisualizationType.ROCCURVE,
       source: 'gs://ml-pipeline/data.csv',
     });
     expect(tree.find('BusyButton').at(0).prop('disabled')).toBe(true);
@@ -124,7 +124,7 @@ describe('VisualizationCreator', () => {
     };
     const tree = shallow(<VisualizationCreator configs={[config]} />);
     tree.setState({
-      selectedType: ApiVisualizationType.CURVE,
+      selectedType: ApiVisualizationType.ROCCURVE,
       source: 'gs://ml-pipeline/data.csv',
     });
     expect(tree.find('BusyButton').at(0).prop('disabled')).toBe(false);
@@ -140,7 +140,7 @@ describe('VisualizationCreator', () => {
     const tree = shallow(<VisualizationCreator configs={[config]} />);
     tree.setState({
       arguments: '{}',
-      selectedType: ApiVisualizationType.CURVE,
+      selectedType: ApiVisualizationType.ROCCURVE,
       source: 'gs://ml-pipeline/data.csv',
     });
     tree.find('BusyButton').at(0).simulate('click');
@@ -157,11 +157,11 @@ describe('VisualizationCreator', () => {
     const tree = shallow(<VisualizationCreator configs={[config]} />);
     tree.setState({
       arguments: '{}',
-      selectedType: ApiVisualizationType.CURVE,
+      selectedType: ApiVisualizationType.ROCCURVE,
       source: 'gs://ml-pipeline/data.csv',
     });
     tree.find('BusyButton').at(0).simulate('click');
-    expect(onGenerate).toBeCalledWith('{}', 'gs://ml-pipeline/data.csv', ApiVisualizationType.CURVE);
+    expect(onGenerate).toBeCalledWith('{}', 'gs://ml-pipeline/data.csv', ApiVisualizationType.ROCCURVE);
   });
 
   it('renders the provided arguments correctly', () => {
@@ -192,7 +192,7 @@ describe('VisualizationCreator', () => {
     };
     const tree = shallow(<VisualizationCreator configs={[config]} />);
     tree.setState({
-      selectedType: ApiVisualizationType.CURVE,
+      selectedType: ApiVisualizationType.ROCCURVE,
     });
     expect(tree).toMatchSnapshot();
   });

frontend/src/components/viewers/VisualizationCreator.tsx

@@ -45,6 +45,27 @@ interface VisualizationCreatorState {
 }
 
 class VisualizationCreator extends Viewer<VisualizationCreatorProps, VisualizationCreatorState> {
+  /*
+    Due to the swagger API definition generation, enum value that include
+    an _ (underscore) remove all _ from the enum key. Additionally, due to the
+    manner in which TypeScript is compiled to Javascript, enums are duplicated
+    iff they included an _ in the proto file. This filters out those duplicate
+    keys that are generated by the complication from TypeScript to JavaScript.
+  
+    For example:
+    export enum ApiVisualizationType {
+      ROCCURVE = <any> 'ROC_CURVE'
+    }
+  
+    Object.keys(ApiVisualizationType) = ['CURVE', 'ROC_CURVE'];
+  
+    Additional details can be found here:
+    https://www.typescriptlang.org/play/#code/KYOwrgtgBAggDgSwGoIM5gIYBsEC8MAuCA9iACoCecwUA3gLABQUUASgPIDCnAqq0gFEoAXigAeDCAoA+AOQdOAfV78BsgDRMAvkyYBjUqmJZgAOizEA5gAp4yNJhz4ipStQCUAbiA
+  */
+  private _types = Object.keys(ApiVisualizationType)
+    .map((key: string) => key.replace('_', ''))
+    .filter((key: string, i: number, arr: string[]) => arr.indexOf(key) === i);
+
   constructor(props: VisualizationCreatorProps) {
     super(props);
     this.state = {
@@ -98,25 +119,11 @@ class VisualizationCreator extends Viewer<VisualizationCreatorProps, Visualizati
           }}
           disabled={isBusy}
         >
-          {/*
-          Due to the swagger API definition generation, getting the keys within
-          ApiVisualizationType also provides the values for the keys. This
-          filters out those values and only shows the actual keys as a
-          visualization type.
-
-          For example:
-          export enum ApiVisualizationType {
-            CURVE = <any> 'ROC_CURVE'
-          }
-
-          Object.keys(ApiVisualizationType) = ['CURVE', 'ROC_CURVE'];
-
-          This occurs due to the dictation of the any type.
-        */}
-          {Object.keys(ApiVisualizationType)
-            .filter((_, i: number) => i % 2 === 0)
+          {this._types
             .map((key: string) => (
-              <MenuItem key={key} value={ApiVisualizationType[key]}>{key}</MenuItem>
+              <MenuItem key={key} value={ApiVisualizationType[key]}>
+                {ApiVisualizationType[key]}
+              </MenuItem>
             ))}
         </Select>
       </FormControl>