FINERACT-1724: Datatables query API fix - invalid query filter

This commit is contained in:
abraham.menyhart
2023-05-31 11:20:22 +02:00
committed by Adam Saghy
parent d639b20af1
commit 31f41558fc
2 changed files with 66 additions and 131 deletions
@@ -19,6 +19,7 @@
package org.apache.fineract.infrastructure.dataqueries.service;
import static java.util.Arrays.asList;
import static java.util.Locale.ENGLISH;
import static org.apache.fineract.infrastructure.core.data.ApiParameterError.parameterErrorWithValue;
import com.google.common.base.Splitter;
@@ -33,18 +34,14 @@ import java.sql.Date;
import java.sql.SQLException;
import java.sql.Statement;
import java.sql.Timestamp;
import java.sql.Types;
import java.time.LocalDate;
import java.time.LocalDateTime;
import java.time.format.DateTimeFormatter;
import java.time.format.DateTimeParseException;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.HashMap;
import java.util.List;
import java.util.Locale;
import java.util.Map;
import java.util.Objects;
import java.util.Set;
import java.util.stream.Stream;
import javax.persistence.PersistenceException;
@@ -84,7 +81,6 @@ import org.apache.fineract.infrastructure.security.service.SqlInjectionPreventer
import org.apache.fineract.infrastructure.security.utils.ColumnValidator;
import org.apache.fineract.infrastructure.security.utils.SQLInjectionValidator;
import org.apache.fineract.useradministration.domain.AppUser;
import org.jetbrains.annotations.NotNull;
import org.springframework.dao.DataAccessException;
import org.springframework.dao.DataIntegrityViolationException;
import org.springframework.dao.EmptyResultDataAccessException;
@@ -113,21 +109,15 @@ public class ReadWriteNonCoreDataServiceImpl implements ReadWriteNonCoreDataServ
.put("number", "INT").put("boolean", "boolean").put("decimal", "DECIMAL").put("date", "DATE").put("datetime", "TIMESTAMP")
.put("text", "TEXT").put("dropdown", "INT").build();
private static final List<String> stringDataTypes = Arrays.asList("char", "varchar", "blob", "text", "tinyblob", "tinytext",
"mediumblob", "mediumtext", "longblob", "longtext");
private static final DateTimeFormatter DATA_TABLE_DATE_FORMAT = DateTimeFormatter.ofPattern("yyyy-MM-dd");
private static final DateTimeFormatter DATA_TABLE_DATETIME_FORMAT = DateTimeFormatter.ofPattern("yyyy-MM-dd HH:mm:ss");
public static final String PG_BOOLEAN_TYPE = "boolean";
public static final String PG_BOOL_TYPE = "bool";
public static final String PG_INT_TYPE = "integer";
public static final String PG_BIGINT_TYPE = "bigint";
public static final String PG_DATE_TYPE = "date";
public static final String PG_NUMERIC_TYPE = "numeric";
public static final String PG_TEXT_TYPE = "text";
public static final String PG_VARCHAR_TYPE = "character varying";
public static final String BIT_TYPE = "bit";
private static final List<String> stringDataTypes = asList("char", "varchar", "blob", "text", "tinyblob", "tinytext", "mediumblob",
"mediumtext", "longblob", "longtext");
private static final String DATE_FORMAT = "yyyy-MM-dd";
public static final String DATE_TIME_FORMAT = "yyyy-MM-dd HH:mm:ss";
private static final DateTimeFormatter DATA_TABLE_DATE_FORMAT = DateTimeFormatter.ofPattern(DATE_FORMAT);
private static final DateTimeFormatter DATA_TABLE_DATETIME_FORMAT = DateTimeFormatter.ofPattern(DATE_TIME_FORMAT);
public static final String MYSQL_DATETIME_TYPE = "datetime";
public static final String MYSQL_DATE_TYPE = "date";
public static final String POSTGRES_TIMESTAMP_TYPE = "timestamp without time zone";
private final JdbcTemplate jdbcTemplate;
private final DatabaseTypeResolver databaseTypeResolver;
@@ -205,24 +195,15 @@ public class ReadWriteNonCoreDataServiceImpl implements ReadWriteNonCoreDataServ
@Override
public List<JsonObject> queryDataTable(String datatable, final String columnFilter, String valueFilter, String resultColumns) {
Arrays.asList(datatable, columnFilter, valueFilter, resultColumns).forEach(SQLInjectionValidator::validateDynamicQuery);
asList(datatable, columnFilter, valueFilter, resultColumns).forEach(SQLInjectionValidator::validateDynamicQuery);
List<ResultsetColumnHeaderData> resultsetColumnHeaderData = genericDataService.fillResultsetColumnHeaders(datatable);
validateRequestParams(columnFilter, valueFilter, resultColumns, resultsetColumnHeaderData);
String filterColumnType = resultsetColumnHeaderData.stream().filter(column -> Objects.equals(columnFilter, column.getColumnName()))
.findFirst().map(ResultsetColumnHeaderData::getColumnType).orElse(columnFilter + " does not exist in datatable");
String sql = "select " + resultColumns + " from " + datatable + " where " + columnFilter + " = ?";
SqlRowSet rowSet = null;
if (databaseTypeResolver.isPostgreSQL()) {
sql = "select " + escapeFieldNames(resultColumns) + " from " + sqlGenerator.escape(datatable) + " where "
+ escapeFieldNames(columnFilter) + " = ?";
rowSet = callFilteredPgSql(sql, valueFilter, filterColumnType);
} else if (databaseTypeResolver.isMySQL()) {
rowSet = callFilteredMysql(sql, valueFilter, filterColumnType);
} else {
throw new IllegalStateException("Database type is not supported");
}
Object validatedValueFilter = getValidatedValueFilter(columnFilter, valueFilter, resultsetColumnHeaderData);
String sql = "select " + escapeFieldNames(resultColumns) + " from " + sqlGenerator.escape(datatable) + " where "
+ escapeFieldNames(columnFilter) + " = ?";
SqlRowSet rowSet = jdbcTemplate.queryForRowSet(sql, validatedValueFilter);
String[] resultColumnNames = resultColumns.split(",");
List<JsonObject> results = new ArrayList<>();
@@ -233,6 +214,18 @@ public class ReadWriteNonCoreDataServiceImpl implements ReadWriteNonCoreDataServ
return results;
}
private Object getValidatedValueFilter(String columnFilter, String valueFilter,
List<ResultsetColumnHeaderData> resultsetColumnHeaderData) {
ResultsetColumnHeaderData columnFilterHeader = resultsetColumnHeaderData.stream()
.filter(headerData -> headerData.getColumnName().equals(columnFilter)).findAny().orElseThrow();
if (MYSQL_DATETIME_TYPE.equals(columnFilterHeader.getColumnType())
|| POSTGRES_TIMESTAMP_TYPE.equals(columnFilterHeader.getColumnType())) {
return validateColumn(columnFilterHeader, valueFilter, DATE_TIME_FORMAT, ENGLISH);
} else {
return validateColumn(columnFilterHeader, valueFilter, DATE_FORMAT, ENGLISH);
}
}
private void extractResults(SqlRowSet rowSet, String[] resultColumnNames, List<JsonObject> results) {
JsonObject json = new JsonObject();
for (String rcn : resultColumnNames) {
@@ -264,77 +257,6 @@ public class ReadWriteNonCoreDataServiceImpl implements ReadWriteNonCoreDataServ
}
}
@NotNull
private SqlRowSet callFilteredMysql(String sql, String valueFilter, String filterColumnType) {
Object finalValueFilter = valueFilter;
SqlRowSet rowSet;
if (BIT_TYPE.equalsIgnoreCase(filterColumnType)) {
int[] argType = new int[1];
argType[0] = Types.BIT;
finalValueFilter = BooleanUtils.toString(BooleanUtils.toBooleanObject(valueFilter), "1", "0", "null");
rowSet = jdbcTemplate.queryForRowSet(sql, new Object[] { finalValueFilter }, argType);
} else if (MYSQL_DATE_TYPE.equalsIgnoreCase(filterColumnType)) {
int[] argType = new int[1];
argType[0] = Types.DATE;
try {
rowSet = jdbcTemplate.queryForRowSet(sql, new Object[] { LocalDate.parse(valueFilter, DATA_TABLE_DATE_FORMAT) }, argType);
} catch (DateTimeParseException e) {
List<ApiParameterError> paramErrors = new ArrayList<>();
paramErrors.add(parameterErrorWithValue("400",
"Unsupported input type for datatable query! Use format: 'yyyy-MM-dd'. Column filter: " + filterColumnType,
"valueFilter", valueFilter));
throw new PlatformApiDataValidationException(paramErrors, e);
}
} else if (MYSQL_DATETIME_TYPE.equals(filterColumnType)) {
int[] argType = new int[1];
argType[0] = Types.TIMESTAMP;
try {
rowSet = jdbcTemplate.queryForRowSet(sql, new Object[] { LocalDateTime.parse(valueFilter, DATA_TABLE_DATETIME_FORMAT) },
argType);
} catch (DateTimeParseException e) {
List<ApiParameterError> paramErrors = new ArrayList<>();
paramErrors.add(parameterErrorWithValue("400",
"Unsupported input type for datatable query! Use format: 'yyyy-MM-dd HH:mm:ss'. Column filter: " + filterColumnType,
"valueFilter", valueFilter));
throw new PlatformApiDataValidationException(paramErrors, e);
}
} else {
rowSet = jdbcTemplate.queryForRowSet(sql, finalValueFilter);
}
return rowSet;
}
@NotNull
private SqlRowSet callFilteredPgSql(String sql, String valueFilter, String filterColumnType) {
Object finalValueFilter = valueFilter;
int[] argType = new int[1];
if (BIT_TYPE.equalsIgnoreCase(filterColumnType)) {
finalValueFilter = BooleanUtils.toString(BooleanUtils.toBooleanObject(valueFilter), "1", "0", "null");
argType[0] = Types.BIT;
} else if (PG_BOOLEAN_TYPE.equalsIgnoreCase(filterColumnType) || PG_BOOL_TYPE.equalsIgnoreCase(filterColumnType)) {
finalValueFilter = BooleanUtils.toString(BooleanUtils.toBooleanObject(valueFilter), "true", "false", "null");
argType[0] = Types.BOOLEAN;
} else if (PG_INT_TYPE.equalsIgnoreCase(filterColumnType)) {
argType[0] = Types.INTEGER;
} else if (PG_BIGINT_TYPE.equalsIgnoreCase(filterColumnType)) {
argType[0] = Types.BIGINT;
} else if (PG_DATE_TYPE.equalsIgnoreCase(filterColumnType)) {
argType[0] = Types.DATE;
} else if (filterColumnType.toLowerCase().contains("timestamp")) {
argType[0] = Types.TIMESTAMP;
} else if (PG_NUMERIC_TYPE.equalsIgnoreCase(filterColumnType)) {
argType[0] = Types.DECIMAL;
} else if (PG_TEXT_TYPE.equalsIgnoreCase(filterColumnType) || PG_VARCHAR_TYPE.equalsIgnoreCase(filterColumnType)) {
argType[0] = Types.VARCHAR;
} else {
List<ApiParameterError> paramErrors = new ArrayList<>();
paramErrors.add(parameterErrorWithValue("400", "Unsupported input type for datatable query! Column filter: " + filterColumnType,
"valueFilter", valueFilter));
throw new PlatformApiDataValidationException(paramErrors);
}
return jdbcTemplate.queryForRowSet(sql, new Object[] { finalValueFilter }, argType);
}
private String escapeFieldNames(final String inputFields) {
final String delimiter = ",";
if (StringUtils.isBlank(inputFields)) {
@@ -348,7 +270,7 @@ public class ReadWriteNonCoreDataServiceImpl implements ReadWriteNonCoreDataServ
return String.join(",", outputFields);
}
private static void validateRequestParams(String columnFilter, String valueFilter, String resultColumns,
private void validateRequestParams(String columnFilter, String valueFilter, String resultColumns,
List<ResultsetColumnHeaderData> resultsetColumnHeaderData) {
List<ApiParameterError> paramErrors = new ArrayList<>();
List<String> dataTableColumnNames = resultsetColumnHeaderData.stream().map(ResultsetColumnHeaderData::getColumnName).toList();