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/*
 * Jython Database Specification API 2.0
 *
 *
 * Copyright (c) 2001 brian zimmer 
 *
 */
package com.ziclix.python.sql.handler;

import com.ziclix.python.sql.DataHandler;
import com.ziclix.python.sql.FilterDataHandler;
import com.ziclix.python.sql.Procedure;
import com.ziclix.python.sql.PyCursor;
import com.ziclix.python.sql.procedure.SQLServerProcedure;
import org.python.core.Py;
import org.python.core.PyObject;

import java.sql.ResultSet;
import java.sql.SQLException;
import java.sql.Types;

/**
 * SQLServer specific data handling.
 *
 * @author brian zimmer
 */
public class SQLServerDataHandler extends FilterDataHandler {

    /**
     * Field UNICODE_VARCHAR
     */
    public static final int UNICODE_VARCHAR = -9;

    /**
     * Decorator for handling SQLServer specific issues.
     *
     * @param datahandler the delegate DataHandler
     */
    public SQLServerDataHandler(DataHandler datahandler) {
        super(datahandler);
    }

    public Procedure getProcedure(PyCursor cursor, PyObject name) throws SQLException {
        return new SQLServerProcedure(cursor, name);
    }

    /**
     * Given a ResultSet, column and type, return the appropriate
     * Jython object.
     * 
     * Note: DO NOT iterate the ResultSet.
     *
     * @param set  the current ResultSet set to the current row
     * @param col  the column number (adjusted properly for JDBC)
     * @param type the column type
     * @throws SQLException if the type is unmappable
     */
    public PyObject getPyObject(ResultSet set, int col, int type) throws SQLException {

        PyObject obj = Py.None;

        switch (type) {

            case UNICODE_VARCHAR:
                obj = super.getPyObject(set, col, Types.VARCHAR);
                break;

            default :
                obj = super.getPyObject(set, col, type);
        }

        return (set.wasNull() || (obj == null)) ? Py.None : obj;
    }
}