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Example 11 with Schema

use of org.talend.dataprep.schema.Schema in project data-prep by Talend.

the class CSVSchemaParserTest method should_parse_csv.

@Test
public void should_parse_csv() throws IOException {
    try (InputStream inputStream = this.getClass().getResourceAsStream("simple.csv")) {
        final String[] columns = { "first name", "last name" };
        DataSetMetadata datasetMetadata = ioTestUtils.getSimpleDataSetMetadata(columns);
        resetParameters(datasetMetadata, ";", Arrays.asList(columns), 1, false);
        Schema result = csvSchemaParser.parse(new SchemaParser.Request(inputStream, datasetMetadata));
        List<ColumnMetadata> actual = result.getSheetContents().get(0).getColumnMetadatas();
        Assert.assertEquals(datasetMetadata.getRowMetadata().getColumns(), actual);
    }
}
Also used : ColumnMetadata(org.talend.dataprep.api.dataset.ColumnMetadata) ByteArrayInputStream(java.io.ByteArrayInputStream) InputStream(java.io.InputStream) Schema(org.talend.dataprep.schema.Schema) SchemaParser(org.talend.dataprep.schema.SchemaParser) DataSetMetadata(org.talend.dataprep.api.dataset.DataSetMetadata) Test(org.junit.Test)

Example 12 with Schema

use of org.talend.dataprep.schema.Schema in project data-prep by Talend.

the class DataSetService method updateDataSet.

/**
 * Updates a data set metadata. If no data set exists for given id, a {@link TDPException} is thrown.
 *
 * @param dataSetId The id of data set to be updated.
 * @param dataSetMetadata The new content for the data set. If empty, existing content will <b>not</b> be replaced.
 * For delete operation, look at {@link #delete(String)}.
 */
@RequestMapping(value = "/datasets/{id}", method = PUT)
@ApiOperation(value = "Update a data set metadata by id", notes = "Update a data set metadata according to the content of the PUT body. Id should be a UUID returned by the list operation. Not valid or non existing data set id return an error response.")
@Timed
public void updateDataSet(@PathVariable(value = "id") @ApiParam(name = "id", value = "Id of the data set to update") String dataSetId, @RequestBody DataSetMetadata dataSetMetadata) {
    if (dataSetMetadata != null && dataSetMetadata.getName() != null) {
        checkDataSetName(dataSetMetadata.getName());
    }
    final DistributedLock lock = dataSetMetadataRepository.createDatasetMetadataLock(dataSetId);
    lock.lock();
    try {
        DataSetMetadata metadataForUpdate = dataSetMetadataRepository.get(dataSetId);
        if (metadataForUpdate == null) {
            // No need to silently create the data set metadata: associated content will most likely not exist.
            throw new TDPException(DataSetErrorCodes.DATASET_DOES_NOT_EXIST, build().put("id", dataSetId));
        }
        LOG.debug("updateDataSet: {}", dataSetMetadata);
        publisher.publishEvent(new DatasetUpdatedEvent(dataSetMetadata));
        // 
        // Only part of the metadata can be updated, so the original dataset metadata is loaded and updated
        // 
        DataSetMetadata original = metadataBuilder.metadata().copy(metadataForUpdate).build();
        try {
            // update the name
            metadataForUpdate.setName(dataSetMetadata.getName());
            // update the sheet content (in case of a multi-sheet excel file)
            if (metadataForUpdate.getSchemaParserResult() != null) {
                Optional<Schema.SheetContent> sheetContentFound = metadataForUpdate.getSchemaParserResult().getSheetContents().stream().filter(sheetContent -> dataSetMetadata.getSheetName().equals(sheetContent.getName())).findFirst();
                if (sheetContentFound.isPresent()) {
                    List<ColumnMetadata> columnMetadatas = sheetContentFound.get().getColumnMetadatas();
                    if (metadataForUpdate.getRowMetadata() == null) {
                        metadataForUpdate.setRowMetadata(new RowMetadata(emptyList()));
                    }
                    metadataForUpdate.getRowMetadata().setColumns(columnMetadatas);
                }
                metadataForUpdate.setSheetName(dataSetMetadata.getSheetName());
                metadataForUpdate.setSchemaParserResult(null);
            }
            // Location updates
            metadataForUpdate.setLocation(dataSetMetadata.getLocation());
            // update parameters & encoding (so that user can change import parameters for CSV)
            metadataForUpdate.getContent().setParameters(dataSetMetadata.getContent().getParameters());
            metadataForUpdate.setEncoding(dataSetMetadata.getEncoding());
            // update limit
            final Optional<Long> newLimit = dataSetMetadata.getContent().getLimit();
            newLimit.ifPresent(limit -> metadataForUpdate.getContent().setLimit(limit));
            // Validate that the new data set metadata and removes the draft status
            final String formatFamilyId = dataSetMetadata.getContent().getFormatFamilyId();
            if (formatFamilyFactory.hasFormatFamily(formatFamilyId)) {
                FormatFamily format = formatFamilyFactory.getFormatFamily(formatFamilyId);
                try {
                    DraftValidator draftValidator = format.getDraftValidator();
                    DraftValidator.Result result = draftValidator.validate(dataSetMetadata);
                    if (result.isDraft()) {
                        // This is not an exception case: data set may remain a draft after update (although rather
                        // unusual)
                        LOG.warn("Data set #{} is still a draft after update.", dataSetId);
                        return;
                    }
                    // Data set metadata to update is no longer a draft
                    metadataForUpdate.setDraft(false);
                } catch (UnsupportedOperationException e) {
                // no need to validate draft here
                }
            }
            // update schema
            formatAnalyzer.update(original, metadataForUpdate);
            // save the result
            dataSetMetadataRepository.save(metadataForUpdate);
            // all good mate!! so send that to jms
            // Asks for a in depth schema analysis (for column type information).
            analyzeDataSet(dataSetId, true, singletonList(FormatAnalysis.class));
        } catch (TDPException e) {
            throw e;
        } catch (Exception e) {
            throw new TDPException(UNABLE_TO_CREATE_OR_UPDATE_DATASET, e);
        }
    } finally {
        lock.unlock();
    }
}
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Example 13 with Schema

use of org.talend.dataprep.schema.Schema in project data-prep by Talend.

the class HtmlSchemaParserTest method read_html_TDP_1136.

@Test
public void read_html_TDP_1136() throws Exception {
    try (InputStream inputStream = this.getClass().getResourceAsStream("sales-force.xls")) {
        // We do know the format and therefore we go directly to the HTML schema guessing
        SchemaParser.Request request = getRequest(inputStream, "#1");
        request.getMetadata().setEncoding("UTF-16");
        Schema result = parser.parse(request);
        Assertions.assertThat(result).isNotNull();
        Assertions.assertThat(result.getSheetContents()).isNotNull().isNotEmpty().hasSize(1);
        List<ColumnMetadata> columnMetadatas = result.getSheetContents().get(0).getColumnMetadatas();
        Assertions.assertThat(columnMetadatas).isNotNull().isNotEmpty().hasSize(7);
        // 
        Assertions.assertThat(columnMetadatas.get(0)).isEqualToComparingOnlyGivenFields(// 
        ColumnMetadata.Builder.column().type(Type.STRING).id(0).name("UID").build(), "id", "name", "type");
        // 
        Assertions.assertThat(columnMetadatas.get(1)).isEqualToComparingOnlyGivenFields(// 
        ColumnMetadata.Builder.column().type(Type.STRING).id(1).name("Team Member: Name").build(), "id", "name", "type");
        // 
        Assertions.assertThat(columnMetadatas.get(2)).isEqualToComparingOnlyGivenFields(// 
        ColumnMetadata.Builder.column().type(Type.STRING).id(2).name("Country").build(), "id", "name", "type");
    }
}
Also used : ColumnMetadata(org.talend.dataprep.api.dataset.ColumnMetadata) InputStream(java.io.InputStream) Schema(org.talend.dataprep.schema.Schema) SchemaParser(org.talend.dataprep.schema.SchemaParser) Test(org.junit.Test)

Example 14 with Schema

use of org.talend.dataprep.schema.Schema in project data-prep by Talend.

the class HtmlSerializerTest method html_serializer.

@Test
public void html_serializer() throws Exception {
    final SchemaParser.Request request;
    final Schema result;
    try (InputStream inputStream = this.getClass().getResourceAsStream("sales-force.xls")) {
        // We do know the format and therefore we go directly to the HTML schema guessing
        request = getRequest(inputStream, "#2");
        request.getMetadata().setEncoding("UTF-16");
        result = htmlSchemaGuesser.parse(request);
    }
    try (InputStream inputStream = this.getClass().getResourceAsStream("sales-force.xls")) {
        request.getMetadata().getRowMetadata().setColumns(result.getSheetContents().get(0).getColumnMetadatas());
        InputStream jsonStream = htmlSerializer.serialize(inputStream, request.getMetadata(), -1);
        String json = IOUtils.toString(jsonStream, UTF_8);
        logger.debug("json: {}", json);
        ObjectMapper mapper = new ObjectMapper();
        CollectionType collectionType = mapper.getTypeFactory().constructCollectionType(ArrayList.class, TreeMap.class);
        List<Map<String, String>> values = mapper.readValue(json, collectionType);
        logger.debug("values: {}", values);
        Map<String, String> row0 = values.get(0);
        // 
        Assertions.assertThat(row0).contains(// 
        MapEntry.entry("0000", "000001"), // 
        MapEntry.entry("0001", "Jennifer BOS"), // 
        MapEntry.entry("0002", "France"), MapEntry.entry("0003", "jbos@talend.com"));
    }
}
Also used : InputStream(java.io.InputStream) Schema(org.talend.dataprep.schema.Schema) CollectionType(com.fasterxml.jackson.databind.type.CollectionType) SchemaParser(org.talend.dataprep.schema.SchemaParser) TreeMap(java.util.TreeMap) Map(java.util.Map) ObjectMapper(com.fasterxml.jackson.databind.ObjectMapper) Test(org.junit.Test)

Aggregations

Schema (org.talend.dataprep.schema.Schema)14 InputStream (java.io.InputStream)10 SchemaParser (org.talend.dataprep.schema.SchemaParser)8 Test (org.junit.Test)7 ColumnMetadata (org.talend.dataprep.api.dataset.ColumnMetadata)7 DataSetMetadata (org.talend.dataprep.api.dataset.DataSetMetadata)5 TDPException (org.talend.dataprep.exception.TDPException)5 Map (java.util.Map)4 IOException (java.io.IOException)3 ArrayList (java.util.ArrayList)3 HashMap (java.util.HashMap)3 ObjectMapper (com.fasterxml.jackson.databind.ObjectMapper)2 CollectionType (com.fasterxml.jackson.databind.type.CollectionType)2 Api (io.swagger.annotations.Api)2 ApiOperation (io.swagger.annotations.ApiOperation)2 ApiParam (io.swagger.annotations.ApiParam)2 ByteArrayInputStream (java.io.ByteArrayInputStream)2 OutputStream (java.io.OutputStream)2 PipedInputStream (java.io.PipedInputStream)2 PipedOutputStream (java.io.PipedOutputStream)2