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pdallig pushed a commit to branch master
in repository https://gitbox.apache.org/repos/asf/zeppelin.git
The following commit(s) were added to refs/heads/master by this push:
new fee1e29 [ZEPPELIN-5098] Remove internal proprietary API in jupyter
module
fee1e29 is described below
commit fee1e2934e97863b63953e471261b49c518be641
Author: Philipp Dallig <philipp.dal...@gmail.com>
AuthorDate: Mon Oct 12 11:53:31 2020 +0200
[ZEPPELIN-5098] Remove internal proprietary API in jupyter module
### What is this PR for?
This PR includes:
- Use `java.util.regex.Pattern` instead of
`com.sun.org.apache.xerces.internal.impl.xpath.regex.RegularExpression` which
is an internal proprietary API
- style changes in
`zeppelin-jupyter/src/test/java/org/apache/zeppelin/jupyter/nbformat/JupyterUtilTest.java`
- add a simple test for `getNbformat`
### What type of PR is it?
- Refactoring
### What is the Jira issue?
* https://issues.apache.org/jira/browse/ZEPPELIN-5098
### How should this be tested?
* Travis-CI: https://travis-ci.org/github/Reamer/zeppelin/builds/734957587
### Questions:
* Does the licenses files need update? No
* Is there breaking changes for older versions? No
* Does this needs documentation? No
Author: Philipp Dallig <philipp.dal...@gmail.com>
Closes #3944 from Reamer/Jupyter and squashes the following commits:
1f1031072 [Philipp Dallig] use java.util.regex.Pattern instead of
com.sun.org.apache.xerces.internal.impl.xpath.regex.RegularExpression
aa22f677a [Philipp Dallig] some style changes
4820e8bd3 [Philipp Dallig] some cleanup
---
.../org/apache/zeppelin/jupyter/JupyterUtil.java | 27 +-
.../org/apache/zeppelin/jupyter/nbformat/Cell.java | 1 -
.../zeppelin/jupyter/nbformat/ExecuteResult.java | 1 -
.../zeppelin/jupyter/nbformat/JupyterUtilTest.java | 54 ++-
.../src/test/resources/spark_example_notebook.zpln | 456 +++++++++++++++++++++
5 files changed, 505 insertions(+), 34 deletions(-)
diff --git
a/zeppelin-jupyter/src/main/java/org/apache/zeppelin/jupyter/JupyterUtil.java
b/zeppelin-jupyter/src/main/java/org/apache/zeppelin/jupyter/JupyterUtil.java
index 48e5319..cc6d1bd 100644
---
a/zeppelin-jupyter/src/main/java/org/apache/zeppelin/jupyter/JupyterUtil.java
+++
b/zeppelin-jupyter/src/main/java/org/apache/zeppelin/jupyter/JupyterUtil.java
@@ -21,7 +21,6 @@ import com.google.gson.GsonBuilder;
import com.google.gson.JsonArray;
import com.google.gson.JsonObject;
import com.google.gson.typeadapters.RuntimeTypeAdapterFactory;
-import com.sun.org.apache.xerces.internal.impl.xpath.regex.RegularExpression;
import org.apache.commons.cli.CommandLine;
import org.apache.commons.cli.CommandLineParser;
import org.apache.commons.cli.DefaultParser;
@@ -57,13 +56,14 @@ import java.nio.file.Path;
import java.nio.file.Paths;
import java.util.ArrayList;
import java.util.List;
+import java.util.regex.Pattern;
/**
*
*/
public class JupyterUtil {
- private static Gson Pretty_Gson = new
GsonBuilder().setPrettyPrinting().create();
+ private static final Gson PRETTY_GSON = new
GsonBuilder().setPrettyPrinting().create();
private final RuntimeTypeAdapterFactory<Cell> cellTypeFactory;
private final RuntimeTypeAdapterFactory<Output> outputTypeFactory;
@@ -106,7 +106,7 @@ public class JupyterUtil {
name = "Note converted from Jupyter_" + id;
}
note.setName(name);
-
+
String lineSeparator = System.lineSeparator();
Paragraph paragraph;
List<Paragraph> paragraphs = new ArrayList<>();
@@ -180,11 +180,11 @@ public class JupyterUtil {
JsonObject nbformat = new JsonObject();
JsonArray cells = new JsonArray();
- RegularExpression MD = new RegularExpression("%md\\s");
- RegularExpression SQL = new RegularExpression("%sql\\s");
- RegularExpression UNKNOWN_MAGIC = new RegularExpression("%\\w+\\s");
- RegularExpression HTML = new RegularExpression("%html\\s");
- RegularExpression SPARK = new RegularExpression("%spark\\s");
+ Pattern mdPattern = Pattern.compile("%md\\s.*", Pattern.DOTALL);
+ Pattern sqlPattern = Pattern.compile("%sql\\s", Pattern.DOTALL);
+ Pattern unknownMagicPattern = Pattern.compile("%\\w+\\s", Pattern.DOTALL);
+ Pattern htmlPattern = Pattern.compile("%html\\s", Pattern.DOTALL);
+ Pattern sparkPattern = Pattern.compile("%spark\\s", Pattern.DOTALL);
int index = 0;
for (Paragraph paragraph : noteFormat.getParagraphs()) {
@@ -193,20 +193,19 @@ public class JupyterUtil {
if (code == null || code.trim().isEmpty())
continue;
-
- if (MD.matches(code)) {
+ if (mdPattern.matcher(code).matches()) {
codeJson.addProperty("cell_type", "markdown");
codeJson.add("metadata", new JsonObject());
codeJson.addProperty("source",
StringUtils.stripStart(StringUtils.stripStart(code, "%md"),
"\n")); // remove '%md'
- } else if (SQL.matches(code) || HTML.matches(code)) {
+ } else if (sqlPattern.matcher(code).matches() ||
htmlPattern.matcher(code).matches()) {
codeJson.addProperty("cell_type", "code");
codeJson.addProperty("execution_count", index);
codeJson.add("metadata", new JsonObject());
codeJson.add("outputs", new JsonArray());
codeJson.addProperty("source", "%" + code); // add % to convert to
cell magic
- } else if (SPARK.matches(code)) {
+ } else if (sparkPattern.matcher(code).matches()) {
codeJson.addProperty("cell_type", "code");
codeJson.addProperty("execution_count", index);
JsonObject metadataJson = new JsonObject();
@@ -214,7 +213,7 @@ public class JupyterUtil {
codeJson.add("metadata", metadataJson);
codeJson.add("outputs", new JsonArray());
codeJson.addProperty("source", code);
- } else if (UNKNOWN_MAGIC.matches(code)) {
+ } else if (unknownMagicPattern.matcher(code).matches()) {
// use raw cells for unknown magic
codeJson.addProperty("cell_type", "raw");
JsonObject metadataJson = new JsonObject();
@@ -257,7 +256,7 @@ public class JupyterUtil {
nbformat.addProperty("nbformat", 4);
nbformat.addProperty("nbformat_minor", 2);
nbformat.add("cells", cells);
- return Pretty_Gson.toJson(nbformat);
+ return PRETTY_GSON.toJson(nbformat);
}
public static void main(String[] args) throws ParseException, IOException {
diff --git
a/zeppelin-jupyter/src/main/java/org/apache/zeppelin/jupyter/nbformat/Cell.java
b/zeppelin-jupyter/src/main/java/org/apache/zeppelin/jupyter/nbformat/Cell.java
index f593da5..1d79f1f 100644
---
a/zeppelin-jupyter/src/main/java/org/apache/zeppelin/jupyter/nbformat/Cell.java
+++
b/zeppelin-jupyter/src/main/java/org/apache/zeppelin/jupyter/nbformat/Cell.java
@@ -17,7 +17,6 @@
package org.apache.zeppelin.jupyter.nbformat;
import com.google.gson.annotations.SerializedName;
-import java.util.List;
/**
*
diff --git
a/zeppelin-jupyter/src/main/java/org/apache/zeppelin/jupyter/nbformat/ExecuteResult.java
b/zeppelin-jupyter/src/main/java/org/apache/zeppelin/jupyter/nbformat/ExecuteResult.java
index 4dc7289..4858ee0 100644
---
a/zeppelin-jupyter/src/main/java/org/apache/zeppelin/jupyter/nbformat/ExecuteResult.java
+++
b/zeppelin-jupyter/src/main/java/org/apache/zeppelin/jupyter/nbformat/ExecuteResult.java
@@ -17,7 +17,6 @@
package org.apache.zeppelin.jupyter.nbformat;
import com.google.gson.annotations.SerializedName;
-import org.apache.zeppelin.jupyter.types.JupyterOutputType;
import org.apache.zeppelin.jupyter.types.ZeppelinOutputType;
import org.apache.zeppelin.jupyter.zformat.TypeData;
diff --git
a/zeppelin-jupyter/src/test/java/org/apache/zeppelin/jupyter/nbformat/JupyterUtilTest.java
b/zeppelin-jupyter/src/test/java/org/apache/zeppelin/jupyter/nbformat/JupyterUtilTest.java
index 276f59c..033aa0b 100644
---
a/zeppelin-jupyter/src/test/java/org/apache/zeppelin/jupyter/nbformat/JupyterUtilTest.java
+++
b/zeppelin-jupyter/src/test/java/org/apache/zeppelin/jupyter/nbformat/JupyterUtilTest.java
@@ -16,14 +16,20 @@
*/
package org.apache.zeppelin.jupyter.nbformat;
+import static org.junit.Assert.assertEquals;
+import static org.junit.Assert.assertFalse;
+import static org.junit.Assert.assertNotNull;
import static org.junit.Assert.assertTrue;
+import java.io.BufferedReader;
import java.io.InputStream;
import java.io.InputStreamReader;
+import java.io.StringReader;
+import java.nio.charset.StandardCharsets;
import java.util.List;
import java.util.Map;
+import java.util.stream.Collectors;
-import com.google.gson.Gson;
import org.apache.zeppelin.jupyter.JupyterUtil;
import org.apache.zeppelin.jupyter.zformat.Note;
import org.apache.zeppelin.jupyter.zformat.Paragraph;
@@ -49,6 +55,7 @@ public class JupyterUtilTest {
public void getNote() throws Exception {
InputStream resource = getClass().getResourceAsStream("/examples.ipynb");
Note n = new JupyterUtil().getNote(new InputStreamReader(resource), "",
"%python", "%md");
+ assertNotNull(n);
}
@Test
@@ -56,44 +63,55 @@ public class JupyterUtilTest {
String noteName = "Note converted from Jupyter";
InputStream resource = getClass().getResourceAsStream("/basic.ipynb");
Note n = new JupyterUtil().getNote(new InputStreamReader(resource), "",
"%python", "%md");
- Gson gson = new Gson();
- System.out.println(gson.toJson(n));
- System.out.println(n.getParagraphs().size());
- assertTrue(n.getParagraphs().size() == 8);
+ assertEquals(8, n.getParagraphs().size());
assertTrue(n.getName().startsWith(noteName));
Paragraph firstParagraph = n.getParagraphs().get(0);
- assertTrue(firstParagraph.getText().equals("%python\nimport numpy as np"));
- assertTrue(firstParagraph.getStatus().equals("FINISHED"));
+ assertEquals("%python\nimport numpy as np", firstParagraph.getText());
+ assertEquals("FINISHED", firstParagraph.getStatus());
Map<String, Object> config = firstParagraph.getConfig();
- assertTrue(((String) config.get("editorMode")).equals("ace/mode/python"));
- assertTrue(((boolean) config.get("editorHide")) == false);
+ assertEquals("ace/mode/python", config.get("editorMode"));
+ assertFalse((boolean) config.get("editorHide"));
Paragraph markdownParagraph = n.getParagraphs().get(6);
- assertTrue(markdownParagraph.getText().equals("%md\n" +
+ assertEquals("%md\n" +
"<div class=\"alert\" style=\"border: 1px solid #aaa; background:
radial-gradient(ellipse at center, #ffffff 50%, #eee 100%);\">\n" +
"<div class=\"row\">\n" +
" <div class=\"col-sm-1\"><img
src=\"https://knowledgeanyhow.org/static/images/favicon_32x32.png\";
style=\"margin-top: -6px\"/></div>\n" +
" <div class=\"col-sm-11\">This notebook was created using <a
href=\"https://knowledgeanyhow.org\";>IBM Knowledge Anyhow Workbench</a>. To
learn more, visit us at <a
href=\"https://knowledgeanyhow.org\";>https://knowledgeanyhow.org</a>.</div>\n" +
" </div>\n" +
- "</div>"));
- assertTrue(markdownParagraph.getStatus().equals("FINISHED"));
+ "</div>", markdownParagraph.getText());
+ assertEquals("FINISHED", markdownParagraph.getStatus());
Map<String, Object> markdownConfig = markdownParagraph.getConfig();
- assertTrue(((String)
markdownConfig.get("editorMode")).equals("ace/mode/markdown"));
- assertTrue(((boolean) markdownConfig.get("editorHide")) == true);
- assertTrue(markdownParagraph.getResults().getCode().equals("SUCCESS"));
+ assertEquals("ace/mode/markdown", markdownConfig.get("editorMode"));
+ assertTrue((boolean) markdownConfig.get("editorHide"));
+ assertEquals("SUCCESS", markdownParagraph.getResults().getCode());
List<TypeData> results = markdownParagraph.getResults().getMsg();
- assertTrue(results.get(0).getData().equals("<div
class=\"markdown-body\">\n" +
+ assertEquals("<div class=\"markdown-body\">\n" +
"<div class=\"alert\" style=\"border: 1px solid #aaa; background:
radial-gradient(ellipse at center, #ffffff 50%, #eee 100%);\">\n" +
"<div class=\"row\">\n" +
" <div class=\"col-sm-1\"><img
src=\"https://knowledgeanyhow.org/static/images/favicon_32x32.png\";
style=\"margin-top: -6px\"/></div>\n" +
" <div class=\"col-sm-11\">This notebook was created using <a
href=\"https://knowledgeanyhow.org\";>IBM Knowledge Anyhow Workbench</a>. To
learn more, visit us at <a
href=\"https://knowledgeanyhow.org\";>https://knowledgeanyhow.org</a>.</div>\n" +
" </div>\n" +
"</div>\n" +
- "</div>"));
- assertTrue(results.get(0).getType().equals("HTML"));
+ "</div>" , results.get(0).getData());
+ assertEquals("HTML", results.get(0).getType());
+ }
+
+ @Test
+ public void testgetNbformat() {
+ InputStream resource =
getClass().getResourceAsStream("/spark_example_notebook.zpln");
+ String text = new BufferedReader(
+ new InputStreamReader(resource, StandardCharsets.UTF_8))
+ .lines()
+ .collect(Collectors.joining("\n"));
+ JupyterUtil util = new JupyterUtil();
+ Nbformat nbformat = util.getNbformat(new
StringReader(util.getNbformat(text)));
+ assertEquals(7 , nbformat.getCells().size());
+ assertEquals(3 , nbformat.getCells().stream().filter(c -> c instanceof
MarkdownCell).count());
+ assertEquals(4 , nbformat.getCells().stream().filter(c -> c instanceof
CodeCell).count());
}
}
diff --git a/zeppelin-jupyter/src/test/resources/spark_example_notebook.zpln
b/zeppelin-jupyter/src/test/resources/spark_example_notebook.zpln
new file mode 100644
index 0000000..b801f1d
--- /dev/null
+++ b/zeppelin-jupyter/src/test/resources/spark_example_notebook.zpln
@@ -0,0 +1,456 @@
+{
+ "paragraphs": [
+ {
+ "text": "%md\n## Welcome to Zeppelin.\n##### This is a live tutorial,
you can run the code yourself. (Shift-Enter to Run)",
+ "user": "anonymous",
+ "dateUpdated": "2016-12-17 15:32:15.000",
+ "config": {
+ "colWidth": 12.0,
+ "editorHide": true,
+ "results": [
+ {
+ "graph": {
+ "mode": "table",
+ "height": 300.0,
+ "optionOpen": false,
+ "keys": [],
+ "values": [],
+ "groups": [],
+ "scatter": {}
+ }
+ }
+ ],
+ "enabled": true,
+ "editorSetting": {
+ "language": "markdown",
+ "editOnDblClick": true
+ },
+ "editorMode": "ace/mode/markdown",
+ "tableHide": false
+ },
+ "settings": {
+ "params": {},
+ "forms": {}
+ },
+ "results": {
+ "code": "SUCCESS",
+ "msg": [
+ {
+ "type": "HTML",
+ "data": "\u003cdiv
class\u003d\"markdown-body\"\u003e\n\u003ch2\u003eWelcome to
Zeppelin.\u003c/h2\u003e\n\u003ch5\u003eThis is a live tutorial, you can run
the code yourself. (Shift-Enter to Run)\u003c/h5\u003e\n\u003c/div\u003e"
+ }
+ ]
+ },
+ "apps": [],
+ "progressUpdateIntervalMs": 500,
+ "jobName": "paragraph_1423836981412_-1007008116",
+ "id": "20150213-231621_168813393",
+ "dateCreated": "2015-02-13 23:16:21.000",
+ "dateStarted": "2016-12-17 15:32:15.000",
+ "dateFinished": "2016-12-17 15:32:18.000",
+ "status": "FINISHED"
+ },
+ {
+ "title": "Load data into table",
+ "text": "import org.apache.commons.io.IOUtils\nimport
java.net.URL\nimport java.nio.charset.Charset\n\n// Zeppelin creates and
injects sc (SparkContext) and sqlContext (HiveContext or SqlContext)\n// So you
don\u0027t need create them manually\n\n// load bank data\nval bankText \u003d
sc.parallelize(\n IOUtils.toString(\n new
URL(\"https://s3.amazonaws.com/apache-zeppelin/tutorial/bank/bank.csv\";),\n
Charset.forName(\"utf8\")).split(\"\\n\"))\n\ncase class Bank(age [...]
+ "user": "anonymous",
+ "dateUpdated": "2020-05-08 11:18:36.766",
+ "config": {
+ "colWidth": 12.0,
+ "title": true,
+ "enabled": true,
+ "editorMode": "ace/mode/scala",
+ "results": [
+ {
+ "graph": {
+ "mode": "table",
+ "height": 300.0,
+ "optionOpen": false
+ }
+ }
+ ],
+ "editorSetting": {
+ "language": "scala",
+ "editOnDblClick": false,
+ "completionKey": "TAB",
+ "completionSupport": true
+ },
+ "fontSize": 9.0
+ },
+ "settings": {
+ "params": {},
+ "forms": {}
+ },
+ "results": {
+ "code": "SUCCESS",
+ "msg": [
+ {
+ "type": "TEXT",
+ "data": "\u001b[33mwarning: \u001b[0mthere was one deprecation
warning; re-run with -deprecation for details\nimport
sqlContext.implicits._\nimport org.apache.commons.io.IOUtils\nimport
java.net.URL\nimport
java.nio.charset.Charset\n\u001b[1m\u001b[34mbankText\u001b[0m:
\u001b[1m\u001b[32morg.apache.spark.rdd.RDD[String]\u001b[0m \u003d
ParallelCollectionRDD[0] at parallelize at \u003cconsole\u003e:24\ndefined
class Bank\n\u001b[1m\u001b[34mbank\u001b[0m: \u001b[1m\u001b[32mo [...]
+ }
+ ]
+ },
+ "apps": [],
+ "progressUpdateIntervalMs": 500,
+ "jobName": "paragraph_1423500779206_-1502780787",
+ "id": "20150210-015259_1403135953",
+ "dateCreated": "2015-02-10 01:52:59.000",
+ "dateStarted": "2020-05-08 11:18:36.791",
+ "dateFinished": "2020-05-08 11:19:58.268",
+ "status": "FINISHED"
+ },
+ {
+ "text": "%sql \nselect age, count(1) value\nfrom bank \nwhere age \u003c
30 \ngroup by age \norder by age",
+ "user": "anonymous",
+ "dateUpdated": "2020-05-04 23:34:43.954",
+ "config": {
+ "colWidth": 4.0,
+ "results": [
+ {
+ "graph": {
+ "mode": "multiBarChart",
+ "height": 366.0,
+ "optionOpen": false,
+ "setting": {
+ "multiBarChart": {
+ "rotate": {
+ "degree": "-45"
+ },
+ "xLabelStatus": "default"
+ }
+ },
+ "commonSetting": {},
+ "keys": [
+ {
+ "name": "age",
+ "index": 0.0,
+ "aggr": "sum"
+ }
+ ],
+ "groups": [],
+ "values": [
+ {
+ "name": "value",
+ "index": 1.0,
+ "aggr": "sum"
+ }
+ ]
+ },
+ "helium": {}
+ }
+ ],
+ "enabled": true,
+ "editorSetting": {
+ "language": "sql",
+ "editOnDblClick": false,
+ "completionKey": "TAB",
+ "completionSupport": true
+ },
+ "editorMode": "ace/mode/sql",
+ "fontSize": 9.0
+ },
+ "settings": {
+ "params": {},
+ "forms": {}
+ },
+ "results": {
+ "code": "SUCCESS",
+ "msg": [
+ {
+ "type": "TABLE",
+ "data":
"age\tvalue\n19\t4\n20\t3\n21\t7\n22\t9\n23\t20\n24\t24\n25\t44\n26\t77\n27\t94\n28\t103\n29\t97\n"
+ }
+ ]
+ },
+ "apps": [],
+ "progressUpdateIntervalMs": 500,
+ "jobName": "paragraph_1423500782552_-1439281894",
+ "id": "20150210-015302_1492795503",
+ "dateCreated": "2015-02-10 01:53:02.000",
+ "dateStarted": "2020-05-04 23:34:43.959",
+ "dateFinished": "2020-05-04 23:34:52.126",
+ "status": "FINISHED"
+ },
+ {
+ "text": "%sql \nselect age, count(1) value \nfrom bank \nwhere age
\u003c ${maxAge\u003d30} \ngroup by age \norder by age",
+ "user": "anonymous",
+ "dateUpdated": "2020-05-04 23:34:45.514",
+ "config": {
+ "colWidth": 4.0,
+ "results": [
+ {
+ "graph": {
+ "mode": "multiBarChart",
+ "height": 294.0,
+ "optionOpen": false,
+ "setting": {
+ "multiBarChart": {
+ "rotate": {
+ "degree": "-45"
+ },
+ "xLabelStatus": "default"
+ }
+ },
+ "commonSetting": {},
+ "keys": [
+ {
+ "name": "age",
+ "index": 0.0,
+ "aggr": "sum"
+ }
+ ],
+ "groups": [],
+ "values": [
+ {
+ "name": "value",
+ "index": 1.0,
+ "aggr": "sum"
+ }
+ ]
+ },
+ "helium": {}
+ }
+ ],
+ "enabled": true,
+ "editorSetting": {
+ "language": "sql",
+ "editOnDblClick": false,
+ "completionKey": "TAB",
+ "completionSupport": true
+ },
+ "editorMode": "ace/mode/sql",
+ "fontSize": 9.0
+ },
+ "settings": {
+ "params": {
+ "maxAge": "35"
+ },
+ "forms": {
+ "maxAge": {
+ "type": "TextBox",
+ "name": "maxAge",
+ "defaultValue": "30",
+ "hidden": false
+ }
+ }
+ },
+ "apps": [],
+ "progressUpdateIntervalMs": 500,
+ "jobName": "paragraph_1423720444030_-1424110477",
+ "id": "20150212-145404_867439529",
+ "dateCreated": "2015-02-12 14:54:04.000",
+ "dateStarted": "2020-05-04 23:34:45.520",
+ "dateFinished": "2020-05-04 23:34:54.074",
+ "status": "FINISHED"
+ },
+ {
+ "text": "%sql \nselect age, count(1) value \nfrom bank \nwhere
marital\u003d\"${marital\u003dsingle,single|divorced|married}\" \ngroup by age
\norder by age",
+ "user": "anonymous",
+ "dateUpdated": "2020-05-04 23:34:47.079",
+ "config": {
+ "colWidth": 4.0,
+ "results": [
+ {
+ "graph": {
+ "mode": "stackedAreaChart",
+ "height": 280.0,
+ "optionOpen": false,
+ "setting": {
+ "stackedAreaChart": {
+ "rotate": {
+ "degree": "-45"
+ },
+ "xLabelStatus": "default"
+ }
+ },
+ "commonSetting": {},
+ "keys": [
+ {
+ "name": "age",
+ "index": 0.0,
+ "aggr": "sum"
+ }
+ ],
+ "groups": [],
+ "values": [
+ {
+ "name": "value",
+ "index": 1.0,
+ "aggr": "sum"
+ }
+ ]
+ },
+ "helium": {}
+ }
+ ],
+ "enabled": true,
+ "editorSetting": {
+ "language": "sql",
+ "editOnDblClick": false,
+ "completionKey": "TAB",
+ "completionSupport": true
+ },
+ "editorMode": "ace/mode/sql",
+ "fontSize": 9.0,
+ "runOnSelectionChange": true
+ },
+ "settings": {
+ "params": {
+ "marital": "single"
+ },
+ "forms": {
+ "marital": {
+ "type": "Select",
+ "options": [
+ {
+ "value": "single"
+ },
+ {
+ "value": "divorced"
+ },
+ {
+ "value": "married"
+ }
+ ],
+ "name": "marital",
+ "defaultValue": "single",
+ "hidden": false
+ }
+ }
+ },
+ "results": {
+ "code": "SUCCESS",
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+ "text": "%md\n## Congratulations, it\u0027s done.\n##### You can create
your own notebook in \u0027Notebook\u0027 menu. Good luck!",
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class\u003d\"markdown-body\"\u003e\n\u003ch2\u003eCongratulations,
it\u0026rsquo;s done.\u003c/h2\u003e\n\u003ch5\u003eYou can create your own
notebook in \u0026lsquo;Notebook\u0026rsquo; menu. Good
luck!\u003c/h5\u003e\n\u003c/div\u003e"
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+ "text": "%md\n\nAbout bank data\n\n```\nCitation Request:\n This
dataset is public available for research. The details are described in [Moro et
al., 2011]. \n Please include this citation if you plan to use this
database:\n\n [Moro et al., 2011] S. Moro, R. Laureano and P. Cortez. Using
Data Mining for Bank Direct Marketing: An Application of the CRISP-DM
Methodology. \n In P. Novais et al. (Eds.), Proceedings of the European
Simulation and Modelling Conference - ESM\u00272011 [...]
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class\u003d\"markdown-body\"\u003e\n\u003cp\u003eAbout bank
data\u003c/p\u003e\n\u003cpre\u003e\u003ccode\u003eCitation Request:\n This
dataset is public available for research. The details are described in [Moro et
al., 2011]. \n Please include this citation if you plan to use this
database:\n\n [Moro et al., 2011] S. Moro, R. Laureano and P. Cortez. Using
Data Mining for Bank Direct Marketing: An Application of the CRISP-DM
Methodology. \n In P. Novai [...]
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