Examples with NurminenDetectionAlgorithm technology.tabula.detectors.NurminenDetectionAlgorithm used on opensource projects

Example 1 with NurminenDetectionAlgorithm

use of technology.tabula.detectors.NurminenDetectionAlgorithm in project drill by apache.

the class PdfUtils method extractTablesFromPDF.

/**
 * Returns a list of tables found in a given PDF document.  There are several extraction algorithms
 * available and this function allows the user to select which to use.
 * @param document The input PDF document to search for tables
 * @param algorithm The extraction algorithm
 * @return A list of tables found in the document.
 */
public static List<Table> extractTablesFromPDF(PDDocument document, ExtractionAlgorithm algorithm) {
    NurminenDetectionAlgorithm detectionAlgorithm = new NurminenDetectionAlgorithm();
    ExtractionAlgorithm algExtractor;
    SpreadsheetExtractionAlgorithm extractor = new SpreadsheetExtractionAlgorithm();
    ObjectExtractor objectExtractor = new ObjectExtractor(document);
    PageIterator pages = objectExtractor.extract();
    List<Table> tables = new ArrayList<>();
    while (pages.hasNext()) {
        Page page = pages.next();
        algExtractor = algorithm;
        List<Rectangle> tablesOnPage = detectionAlgorithm.detect(page);
        for (Rectangle guessRect : tablesOnPage) {
            Page guess = page.getArea(guessRect);
            tables.addAll(algExtractor.extract(guess));
        }
    }
    try {
        objectExtractor.close();
    } catch (Exception e) {
        throw UserException.parseError(e).message("Error extracting table: " + e.getMessage()).build(logger);
    }
    return tables;
}

Example 2 with NurminenDetectionAlgorithm

use of technology.tabula.detectors.NurminenDetectionAlgorithm in project drill by apache.

the class PdfUtils method getSpecificTable.

/**
 * Returns a specific table from a PDF document. Returns null in the event that
 * the user requests a table that does not exist.  If there is an error with the document
 * the function will throw a UserException.
 * @param document The source PDF document
 * @param tableIndex The index of the desired table
 * @return The desired Table, null if the table is not valid, or if the document has no tables.
 */
public static Table getSpecificTable(PDDocument document, int tableIndex, ExtractionAlgorithm algorithm) {
    NurminenDetectionAlgorithm detectionAlgorithm = new NurminenDetectionAlgorithm();
    ExtractionAlgorithm algExtractor;
    if (algorithm == null) {
        algExtractor = DEFAULT_ALGORITHM;
    } else {
        algExtractor = algorithm;
    }
    ObjectExtractor objectExtractor = new ObjectExtractor(document);
    PageIterator pages = objectExtractor.extract();
    Table specificTable;
    int tableCounter = 0;
    while (pages.hasNext()) {
        Page page = pages.next();
        List<Rectangle> rectanglesOnPage = detectionAlgorithm.detect(page);
        List<Table> tablesOnPage = new ArrayList<>();
        for (Rectangle guessRect : rectanglesOnPage) {
            Page guess = page.getArea(guessRect);
            tablesOnPage.addAll(algExtractor.extract(guess));
            if (tablesOnPage.size() == 0) {
                return null;
            }
            for (Table table : tablesOnPage) {
                if (tableCounter == tableIndex) {
                    specificTable = table;
                    return specificTable;
                }
                tableCounter++;
            }
        }
    }
    try {
        objectExtractor.close();
    } catch (Exception e) {
        throw UserException.parseError(e).message("Error extracting table: " + e.getMessage()).build(logger);
    }
    return null;
}