feat: add a new webgl polar chart operator

common/config/src/main/resources/storage.conf

@@ -34,10 +34,10 @@ storage {
                 uri-without-scheme = "localhost:5432/texera_iceberg_catalog"
                 uri-without-scheme = ${?STORAGE_ICEBERG_CATALOG_POSTGRES_URI_WITHOUT_SCHEME}
 
-                username = "texera"
+                username = "anish"
                 username = ${?STORAGE_ICEBERG_CATALOG_POSTGRES_USERNAME}
 
-                password = "password"
+                password = ""
                 password = ${?STORAGE_ICEBERG_CATALOG_POSTGRES_PASSWORD}
             }
         }
@@ -131,10 +131,10 @@ storage {
         url-for-test-cases = "jdbc:postgresql://localhost:5432/texera_db_for_test_cases?currentSchema=texera_db,public"
         url-for-test-cases = ${?STORAGE_JDBC_URL_FOR_TEST_CASES}
 
-        username = "postgres"
+        username = "anish"
         username = ${?STORAGE_JDBC_USERNAME}
 
-        password = "postgres"
+        password = ""
         password = ${?STORAGE_JDBC_PASSWORD}
     }
 }

common/workflow-operator/src/main/scala/org/apache/texera/amber/operator/LogicalOp.scala

@@ -130,6 +130,7 @@ import org.apache.texera.amber.operator.visualization.scatter3DChart.Scatter3dCh
 import org.apache.texera.amber.operator.visualization.scatterplot.ScatterplotOpDesc
 import org.apache.texera.amber.operator.visualization.tablesChart.TablesPlotOpDesc
 import org.apache.texera.amber.operator.visualization.ternaryPlot.TernaryPlotOpDesc
+import org.apache.texera.amber.operator.visualization.polarChart.PolarChartOpDesc
 import org.apache.texera.amber.operator.visualization.timeSeriesplot.TimeSeriesOpDesc
 import org.apache.texera.amber.operator.visualization.treeplot.TreePlotOpDesc
 import org.apache.texera.amber.operator.visualization.urlviz.UrlVizOpDesc
@@ -186,6 +187,7 @@ trait StateTransferFunc
     new Type(value = classOf[LineChartOpDesc], name = "LineChart"),
     new Type(value = classOf[WaterfallChartOpDesc], name = "WaterfallChart"),
     new Type(value = classOf[BarChartOpDesc], name = "BarChart"),
+    new Type(value = classOf[PolarChartOpDesc], name = "PolarChart"),
     new Type(value = classOf[RangeSliderOpDesc], name = "RangeSlider"),
     new Type(value = classOf[PieChartOpDesc], name = "PieChart"),
     new Type(value = classOf[QuiverPlotOpDesc], name = "QuiverPlot"),

common/workflow-operator/src/main/scala/org/apache/texera/amber/operator/visualization/polarChart/PolarChartOpDesc.scala

@@ -0,0 +1,107 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you 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.
+ */
+
+package org.apache.texera.amber.operator.visualization.polarChart
+
+import com.fasterxml.jackson.annotation.{JsonProperty, JsonPropertyDescription}
+import com.kjetland.jackson.jsonSchema.annotations.JsonSchemaTitle
+import org.apache.texera.amber.core.tuple.{AttributeType, Schema}
+import org.apache.texera.amber.core.workflow.OutputPort.OutputMode
+import org.apache.texera.amber.core.workflow.{InputPort, OutputPort, PortIdentity}
+import org.apache.texera.amber.operator.PythonOperatorDescriptor
+import org.apache.texera.amber.operator.metadata.annotations.AutofillAttributeName
+import org.apache.texera.amber.operator.metadata.{OperatorGroupConstants, OperatorInfo}
+
+class PolarChartOpDesc extends PythonOperatorDescriptor {
+
+  @JsonProperty(value = "r", required = true)
+  @JsonSchemaTitle("r")
+  @JsonPropertyDescription("The column name for radial values (must be numeric)")
+  @AutofillAttributeName
+  var r: String = ""
+
+  @JsonProperty(value = "theta", required = true)
+  @JsonSchemaTitle("theta")
+  @JsonPropertyDescription("The column name for angular values (must be numeric)")
+  @AutofillAttributeName
+  var theta: String = ""
+
+  override def getOutputSchemas(
+      inputSchemas: Map[PortIdentity, Schema]
+  ): Map[PortIdentity, Schema] = {
+    val outputSchema = Schema()
+      .add("html-content", AttributeType.STRING)
+
+    Map(operatorInfo.outputPorts.head.id -> outputSchema)
+  }
+
+  override def operatorInfo: OperatorInfo =
+    OperatorInfo(
+      "Polar Chart",
+      "Displays data points in a polar scatter plot",
+      OperatorGroupConstants.VISUALIZATION_SCIENTIFIC_GROUP,
+      inputPorts = List(InputPort()),
+      outputPorts = List(OutputPort(mode = OutputMode.SINGLE_SNAPSHOT))
+    )
+
+  override def generatePythonCode(): String = {
+    s"""from pytexera import *
+       |import plotly.graph_objects as go
+       |import plotly.io as pio
+       |import numpy as np
+       |
+       |class ProcessTableOperator(UDFTableOperator):
+       |
+       |    @overrides
+       |    def process_table(self, table: Table, port: int) -> Iterator[Optional[TableLike]]:
+       |
+       |        if table is None or table.empty:
+       |            yield {'html-content': '<h3>No data available for Polar Chart</h3>'}
+       |            return
+       |
+       |        if '${r}' not in table.columns or '${theta}' not in table.columns:
+       |            yield {'html-content': '<h3>Selected columns not found in input table</h3>'}
+       |            return
+       |
+       |        if not np.issubdtype(table['${r}'].dtype, np.number) or not np.issubdtype(table['${theta}'].dtype, np.number):
+       |            yield {'html-content': '<h3>Selected columns must be numeric</h3>'}
+       |            return
+       |
+       |        r_vals = table['${r}'].values
+       |        theta_vals = table['${theta}'].values
+       |
+       |        fig = go.Figure(data=go.Scatterpolargl(
+       |            r=r_vals,
+       |            theta=theta_vals,
+       |            mode='markers',
+       |            marker=dict(
+       |                size=10,
+       |                opacity=0.7,
+       |                line=dict(color='white')
+       |            )
+       |        ))
+       |
+       |        fig.update_layout(
+       |            title='Polar Chart',
+       |            showlegend=False
+       |        )
+       |
+       |        html = pio.to_html(fig, include_plotlyjs='cdn', full_html=False)
+       |        yield {'html-content': html}
+       |""".stripMargin
+  }
+}