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77 changes: 77 additions & 0 deletions
77
...a/com/clairvoyant/data/scalaxy/reader/text/instances/HTMLTableTextToDataFrameReader.scala
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,77 @@ | ||
| package com.clairvoyant.data.scalaxy.reader.text.instances | ||
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| import com.clairvoyant.data.scalaxy.reader.text.TextToDataFrameReader | ||
| import com.clairvoyant.data.scalaxy.reader.text.formats.{CSVTextFormat, HTMLTableTextFormat} | ||
| import org.apache.spark.sql.types.StructType | ||
| import org.apache.spark.sql.{DataFrame, SparkSession} | ||
| import org.jsoup.Jsoup | ||
| import org.jsoup.nodes.{Document, Element} | ||
| import org.jsoup.select.Elements | ||
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| import scala.collection.convert.ImplicitConversions.`collection AsScalaIterable` | ||
| import scala.util.Try | ||
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| implicit object HTMLTableTextToDataFrameReader extends TextFormatToDataFrameReader[HTMLTableTextFormat] { | ||
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| val VALUE_SEPARATOR = "~" | ||
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| override def read( | ||
| text: Seq[String], | ||
| textFormat: HTMLTableTextFormat, | ||
| originalSchema: Option[StructType], | ||
| adaptSchemaColumns: StructType => StructType | ||
| )(using sparkSession: SparkSession): DataFrame = | ||
| TextToDataFrameReader.read( | ||
| text = text.map(htmlText => convertHTMLTableToCSV(htmlText, textFormat.tableName)), | ||
| textFormat = CSVTextFormat( | ||
| sep = VALUE_SEPARATOR | ||
| ), | ||
| originalSchema = originalSchema, | ||
| adaptSchemaColumns = adaptSchemaColumns | ||
| ) | ||
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| def convertHTMLTableToCSV(htmlText: String, tableName: Option[String] = None): String = { | ||
| Try { | ||
| val parsedDocument = Jsoup.parse(htmlText) | ||
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| val table = getTableFromParsedDocument(parsedDocument, tableName) | ||
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| val rows = table.select("tr") | ||
| val tableHeader = getTableHeader(rows) | ||
| val tableRows = getTableRows(rows) | ||
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| tableHeader.concat(tableRows) | ||
| }.recover { case ex: Exception => | ||
| ex.printStackTrace() | ||
| throw ex | ||
| }.get | ||
| } | ||
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| def getTableFromParsedDocument(parsedDocument: Document, tableName: Option[String]): Element = | ||
| tableName | ||
| .map { tblName => | ||
| val tables = parsedDocument.select(tblName) | ||
| if (tables.size() > 0) | ||
| tables.first() | ||
| else | ||
| throw new Exception(s"HTML table: $tblName not found") | ||
| } | ||
| .getOrElse(parsedDocument.getElementsByTag("table").first()) | ||
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| def getTableHeader(rows: Elements): String = | ||
| Seq(rows.select("th").map(_.text)).flatten | ||
| .mkString(VALUE_SEPARATOR) | ||
| .concat("\n") | ||
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| def getTableRows(rows: Elements): String = | ||
| Seq( | ||
| rows.map { row => | ||
| val flattenRows = Seq(row.select("td").map(_.text())).flatten | ||
| if (flattenRows.nonEmpty) | ||
| flattenRows.mkString(VALUE_SEPARATOR).concat("\n") | ||
| else | ||
| "" | ||
| } | ||
| ).flatten.mkString("") | ||
|
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| } |
121 changes: 121 additions & 0 deletions
121
...t/scala/com/clairvoyant/data/scalaxy/reader/text/HTMLTableTextToDataFrameReaderSpec.scala
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| Original file line number | Diff line number | Diff line change |
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| @@ -0,0 +1,121 @@ | ||
| package com.clairvoyant.data.scalaxy.reader.text | ||
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| import com.clairvoyant.data.scalaxy.reader.text.TextToDataFrameReader | ||
| import com.clairvoyant.data.scalaxy.reader.text.formats.{CSVTextFormat, HTMLTableTextFormat} | ||
| import com.clairvoyant.data.scalaxy.reader.text.instances.HTMLTableTextToDataFrameReader | ||
| import com.clairvoyant.data.scalaxy.test.util.SparkUtil | ||
| import com.clairvoyant.data.scalaxy.test.util.matchers.DataFrameMatcher | ||
| import com.clairvoyant.data.scalaxy.test.util.readers.DataFrameReader | ||
| import org.apache.spark.sql.functions.col | ||
| import org.apache.spark.sql.types.* | ||
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| class HTMLTableTextToDataFrameReaderSpec extends DataFrameReader with DataFrameMatcher { | ||
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| "read() - with html text" should "return a dataframe with correct count and schema" in { | ||
| val htmlText = | ||
| """ | ||
| <!DOCTYPE html> | ||
| <div class="ac-card-content ac-card-content-normal ac-card-content-normal-alt"> | ||
| <p class="a-spacing-base ac-cms-promo-big"><img alt="" src="https://images-eu.ssl-images-amazon.com/images/G/02/associates/network/holborn/ads-promo._V285961827_.png"> | ||
| Are you monetising international traffic? You can now receive earnings in an international bank account. <a href="https://amazon-affiliate.eu/en/receive-international-earnings/" target="_blank">Click here</a> to | ||
| learn more. | ||
| </p> | ||
| <div class="a-dtt-datatable"> | ||
| <table class="a-dtt-table"> | ||
| <thead class="a-dtt-thead"> | ||
| <tr> | ||
| <th class="a-dtt-header"> | ||
| Date | ||
| </th> | ||
| <th class="a-dtt-header"> | ||
| Transaction | ||
| </th> | ||
| <th class="a-dtt-header"> | ||
| <div class="ac-float-r"> | ||
| Amount | ||
| </div> | ||
| </th> | ||
| <th class="a-dtt-header"> | ||
| <div class="ac-float-r"> | ||
| Balance | ||
| </div> | ||
| </th> | ||
| </tr> | ||
| </thead> | ||
| <tbody class="a-dtt-tbody"> | ||
| <tr> | ||
| <td> | ||
| 01/06/2022 | ||
| </td> | ||
| <td> | ||
| 04/2022 Advertising Fees | ||
| </td> | ||
| <td> | ||
| <div class="ac-float-r"> | ||
| £4,049.19 | ||
| </div> | ||
| </td> | ||
| <td> | ||
| <div class="ac-float-r"> | ||
| £4,049.19 | ||
| </div> | ||
| </td> | ||
| </tr> | ||
| <tr> | ||
| <td> | ||
| 30/05/2022 | ||
| </td> | ||
| <td> | ||
| Payment by Direct Deposit | ||
| </td> | ||
| <td> | ||
| <div class="ac-float-r"> | ||
| <div class="ac-payment-balance-negative"> | ||
| -£3,349.17 | ||
| </div> | ||
| </div> | ||
| </td> | ||
| <td> | ||
| <div class="ac-float-r"> | ||
| £0.00 | ||
| </div> | ||
| </td> | ||
| </tr> | ||
| </tbody> | ||
| </table> | ||
| </div> | ||
| <div class="ac-payment-note ac-standard-alert"> | ||
| <div class="a-box a-alert a-alert-info" aria-live="polite" aria-atomic="true"> | ||
| <div class="a-box-inner a-alert-container"><i class="a-icon a-icon-alert"></i> | ||
| <div class="a-alert-content">Please note: | ||
| Any transactions that occurred prior to May 10, 2000, will not be visible on this report. | ||
| </div> | ||
| </div> | ||
| </div> | ||
| </div> | ||
| </div> | ||
| """.stripMargin | ||
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| val htmlTableTextFormat = HTMLTableTextFormat() | ||
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| val actualDF = TextToDataFrameReader.read( | ||
| text = htmlText, | ||
| textFormat = htmlTableTextFormat | ||
| ) | ||
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| val expectedDF = readCSVFromText( | ||
| text = | ||
| """ | ||
| |Amount~Balance~Date~Transaction | ||
| |£4,049.19~£4,049.19~01/06/2022~04/2022 Advertising Fees | ||
| |-£3,349.17~£0.00~30/05/2022~Payment by Direct Deposit | ||
| """.stripMargin, | ||
| csvOptions = Map( | ||
| "sep" -> "~" | ||
| ) | ||
| ) | ||
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| actualDF should matchExpectedDataFrame(expectedDF) | ||
| } | ||
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| } |