SMLBP02900_반환폐기조회.xfdl 43 KB

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  396. </Formats>
  397. </Grid>
  398. </Layout>
  399. </Layouts>
  400. </Div>
  401. </Layout>
  402. </Layouts>
  403. <Objects>
  404. <Dataset id="ds_hidden_ref" firefirstcount="0" firenextcount="0" useclientlayout="false" updatecontrol="true" enableevent="true" loadkeymode="keep" loadfiltermode="keep" reversesubsum="keep">
  405. <ColumnInfo>
  406. <Column id="fromdd" type="STRING" size="256"/>
  407. <Column id="fromtm" type="STRING" size="256"/>
  408. <Column id="todd" type="STRING" size="256"/>
  409. <Column id="totm" type="STRING" size="256"/>
  410. <Column id="code" type="STRING" size="256"/>
  411. </ColumnInfo>
  412. <Rows>
  413. <Row>
  414. <Col id="fromdd"/>
  415. <Col id="fromtm"/>
  416. <Col id="todd"/>
  417. <Col id="totm"/>
  418. <Col id="code">1</Col>
  419. </Row>
  420. </Rows>
  421. </Dataset>
  422. <Dataset id="ds_main_reqList" firefirstcount="0" firenextcount="0" useclientlayout="true" updatecontrol="true" enableevent="true" loadkeymode="keep" loadfiltermode="keep" reversesubsum="keep">
  423. <ColumnInfo>
  424. <Column id="blodno" type="STRING" size="256"/>
  425. <Column id="blodcd" type="STRING" size="256"/>
  426. <Column id="blodcomnm" type="STRING" size="256"/>
  427. <Column id="blodstat" type="STRING" size="256"/>
  428. <Column id="day" type="STRING" size="256"/>
  429. <Column id="time" type="STRING" size="256"/>
  430. <Column id="bloodcd" type="STRING" size="256"/>
  431. <Column id="bloodnm" type="STRING" size="256"/>
  432. <Column id="deliveid" type="STRING" size="256"/>
  433. </ColumnInfo>
  434. <Rows>
  435. <Row>
  436. <Col id="blodno"/>
  437. <Col id="blodcd"/>
  438. <Col id="blodcomnm"/>
  439. <Col id="blodstat"/>
  440. <Col id="day"/>
  441. <Col id="time"/>
  442. <Col id="bloodcd"/>
  443. <Col id="bloodnm"/>
  444. <Col id="deliveid"/>
  445. </Row>
  446. </Rows>
  447. </Dataset>
  448. <Dataset id="ds_hidden" firefirstcount="0" firenextcount="0" useclientlayout="false" updatecontrol="true" enableevent="true" loadkeymode="keep" loadfiltermode="keep" reversesubsum="keep">
  449. <ColumnInfo/>
  450. </Dataset>
  451. <Dataset id="ds_main_reqRlist" firefirstcount="0" firenextcount="0" useclientlayout="false" updatecontrol="true" enableevent="true" loadkeymode="keep" loadfiltermode="keep" reversesubsum="keep">
  452. <ColumnInfo>
  453. <Column id="blodno" type="STRING" size="256"/>
  454. <Column id="blodcd" type="STRING" size="256"/>
  455. <Column id="blodcomnm" type="STRING" size="256"/>
  456. <Column id="blodstat" type="STRING" size="256"/>
  457. <Column id="day" type="STRING" size="256"/>
  458. <Column id="time" type="STRING" size="256"/>
  459. <Column id="proddt" type="STRING" size="256"/>
  460. <Column id="bloodcd" type="STRING" size="256"/>
  461. <Column id="bloodnm" type="STRING" size="256"/>
  462. <Column id="usernm" type="STRING" size="256"/>
  463. </ColumnInfo>
  464. <Rows>
  465. <Row>
  466. <Col id="blodno"/>
  467. <Col id="blodcd"/>
  468. <Col id="blodcomnm"/>
  469. <Col id="blodstat"/>
  470. <Col id="day"/>
  471. <Col id="time"/>
  472. <Col id="proddt"/>
  473. <Col id="bloodcd"/>
  474. <Col id="bloodnm"/>
  475. <Col id="usernm"/>
  476. </Row>
  477. </Rows>
  478. </Dataset>
  479. <Dataset id="ds_hidden_rlist" firefirstcount="0" firenextcount="0" useclientlayout="false" updatecontrol="true" enableevent="true" loadkeymode="keep" loadfiltermode="keep" reversesubsum="keep">
  480. <ColumnInfo/>
  481. </Dataset>
  482. <Dataset id="ds_hidden_rlist_reqRlist" firefirstcount="0" firenextcount="0" useclientlayout="true" updatecontrol="true" enableevent="true" loadkeymode="keep" loadfiltermode="keep" reversesubsum="keep">
  483. <ColumnInfo>
  484. <Column id="blodno" type="STRING" size="256"/>
  485. <Column id="blodcd" type="STRING" size="256"/>
  486. <Column id="blodcomnm" type="STRING" size="256"/>
  487. <Column id="blodstat" type="STRING" size="256"/>
  488. <Column id="day" type="STRING" size="256"/>
  489. <Column id="time" type="STRING" size="256"/>
  490. <Column id="proddt" type="STRING" size="256"/>
  491. <Column id="bloodcd" type="STRING" size="256"/>
  492. <Column id="bloodnm" type="STRING" size="256"/>
  493. <Column id="usernm" type="STRING" size="256"/>
  494. </ColumnInfo>
  495. <Rows>
  496. <Row>
  497. <Col id="blodno"/>
  498. <Col id="blodcd"/>
  499. <Col id="blodcomnm"/>
  500. <Col id="blodstat"/>
  501. <Col id="day"/>
  502. <Col id="time"/>
  503. <Col id="proddt"/>
  504. <Col id="bloodcd"/>
  505. <Col id="bloodnm"/>
  506. <Col id="usernm"/>
  507. </Row>
  508. </Rows>
  509. </Dataset>
  510. <Dataset id="ds_main" firefirstcount="0" firenextcount="0" useclientlayout="false" updatecontrol="true" enableevent="true" loadkeymode="keep" loadfiltermode="keep" reversesubsum="keep">
  511. <ColumnInfo/>
  512. </Dataset>
  513. <Dataset id="ds_main_reqTlist" firefirstcount="0" firenextcount="0" useclientlayout="false" updatecontrol="true" enableevent="true" loadkeymode="keep" loadfiltermode="keep" reversesubsum="keep">
  514. <ColumnInfo>
  515. <Column id="blodno" type="STRING" size="255"/>
  516. <Column id="blodcd" type="STRING" size="255"/>
  517. <Column id="blodcomnm" type="STRING" size="255"/>
  518. <Column id="blodstat" type="STRING" size="255"/>
  519. <Column id="day" type="STRING" size="255"/>
  520. <Column id="time" type="STRING" size="255"/>
  521. <Column id="bloodcd" type="STRING" size="255"/>
  522. <Column id="bloodnm" type="STRING" size="255"/>
  523. <Column id="deliveid" type="STRING" size="255"/>
  524. <Column id="sex" type="STRING" size="255"/>
  525. <Column id="birthday" type="STRING" size="255"/>
  526. <Column id="bloodgu" type="STRING" size="255"/>
  527. <Column id="district" type="STRING" size="255"/>
  528. <Column id="deptcd" type="STRING" size="255"/>
  529. </ColumnInfo>
  530. <Rows>
  531. <Row/>
  532. </Rows>
  533. </Dataset>
  534. <Dataset id="ds_hidden_tlist" firefirstcount="0" firenextcount="0" useclientlayout="false" updatecontrol="true" enableevent="true" loadkeymode="keep" loadfiltermode="keep" reversesubsum="keep">
  535. <ColumnInfo/>
  536. </Dataset>
  537. <Dataset id="ds_hidden_list_reqList" firefirstcount="0" firenextcount="0" useclientlayout="false" updatecontrol="true" enableevent="true" loadkeymode="keep" loadfiltermode="keep" reversesubsum="keep">
  538. <ColumnInfo>
  539. <Column id="blodno" type="STRING" size="256"/>
  540. <Column id="blodcd" type="STRING" size="256"/>
  541. <Column id="blodcomnm" type="STRING" size="256"/>
  542. <Column id="blodstat" type="STRING" size="256"/>
  543. <Column id="day" type="STRING" size="256"/>
  544. <Column id="time" type="STRING" size="256"/>
  545. <Column id="bloodcd" type="STRING" size="256"/>
  546. <Column id="bloodnm" type="STRING" size="256"/>
  547. <Column id="deliveid" type="STRING" size="256"/>
  548. </ColumnInfo>
  549. </Dataset>
  550. <Dataset id="ds_send" firefirstcount="0" firenextcount="0" useclientlayout="false" updatecontrol="true" enableevent="true" loadkeymode="keep" loadfiltermode="keep" reversesubsum="keep">
  551. <ColumnInfo>
  552. <Column id="fromdd" type="STRING" size="256"/>
  553. <Column id="fromtm" type="STRING" size="256"/>
  554. <Column id="todd" type="STRING" size="256"/>
  555. <Column id="totm" type="STRING" size="256"/>
  556. <Column id="code" type="STRING" size="256"/>
  557. </ColumnInfo>
  558. <Rows>
  559. <Row>
  560. <Col id="fromdd"/>
  561. <Col id="fromtm"/>
  562. <Col id="todd"/>
  563. <Col id="totm"/>
  564. <Col id="code"/>
  565. </Row>
  566. </Rows>
  567. </Dataset>
  568. <Dataset id="ds_hidden_list" firefirstcount="0" firenextcount="0" useclientlayout="false" updatecontrol="true" enableevent="true" loadkeymode="keep" loadfiltermode="keep" reversesubsum="keep">
  569. <ColumnInfo/>
  570. </Dataset>
  571. <Dataset id="ds_hidden_tlist_reqTlist" firefirstcount="0" firenextcount="0" useclientlayout="false" updatecontrol="true" enableevent="true" loadkeymode="keep" loadfiltermode="keep" reversesubsum="keep">
  572. <ColumnInfo>
  573. <Column id="blodno" type="STRING" size="255"/>
  574. <Column id="blodcd" type="STRING" size="255"/>
  575. <Column id="blodcomnm" type="STRING" size="255"/>
  576. <Column id="blodstat" type="STRING" size="255"/>
  577. <Column id="day" type="STRING" size="255"/>
  578. <Column id="time" type="STRING" size="255"/>
  579. <Column id="bloodcd" type="STRING" size="255"/>
  580. <Column id="bloodnm" type="STRING" size="255"/>
  581. <Column id="deliveid" type="STRING" size="255"/>
  582. <Column id="sex" type="STRING" size="255"/>
  583. <Column id="birthday" type="STRING" size="255"/>
  584. <Column id="bloodgu" type="STRING" size="255"/>
  585. <Column id="district" type="STRING" size="255"/>
  586. <Column id="deptcd" type="STRING" size="255"/>
  587. </ColumnInfo>
  588. <Rows>
  589. <Row/>
  590. </Rows>
  591. </Dataset>
  592. </Objects>
  593. <Bind>
  594. <BindItem id="item0" compid="group3.group2.combo1" propid="value" datasetid="ds_hidden_ref" columnid="code"/>
  595. <BindItem id="item1" compid="group3.group2.input1" propid="value" datasetid="ds_hidden_ref" columnid="fromdd"/>
  596. <BindItem id="item2" compid="group3.group2.input2" propid="value" datasetid="ds_hidden_ref" columnid="fromtm"/>
  597. <BindItem id="item3" compid="group3.group2.input3" propid="value" datasetid="ds_hidden_ref" columnid="todd"/>
  598. <BindItem id="item4" compid="group3.group2.input4" propid="value" datasetid="ds_hidden_ref" columnid="totm"/>
  599. </Bind>
  600. <Script type="xscript4.0"><![CDATA[/***************************************************************************************
  601. * System Name :
  602. * Job Name :
  603. * Creator :
  604. * Make Date : 2015-11-13
  605. * Description :
  606. *---------------------------------------------------------------------------------------
  607. * Modify Date Modifier Modify Description
  608. *---------------------------------------------------------------------------------------
  609. * 2015-11-13 Live Converter TF->XP
  610. *
  611. *---------------------------------------------------------------------------------------
  612. ****************************************************************************************/
  613. include "com_commonxp::comm_main.xjs";
  614. include "lis_commonxp::LLZ001.xjs";
  615. // include '../../.._com_commonweb_js_common.js'
  616. // include '../../.._com_commonweb_js_dateHelper.js'
  617. // include '../../.._com_commonweb_js_tfHelper.js'
  618. // include '../../.._lis_commonweb_js_LLZ001.js'
  619. //스크립트 시작 ***
  620. //전체에서 event와 src를 제외한 script 를 모두포함.
  621. // 초기화
  622. function fSetInit() {
  623. var mDate = utlf_getCurrentDate().toDate("YYYYMMDD").getAddDate(1);
  624. ds_hidden_ref.setColumn( 0, "fromdd", utlf_getCurrentDate());
  625. ds_hidden_ref.setColumn( 0, "todd", mDate.getDateFormat("YYYYMMDD"));
  626. ds_hidden_ref.setColumn( 0, "fromtm", "0000");
  627. ds_hidden_ref.setColumn( 0, "totm", "2359");
  628. group6.visible = false;
  629. group7.visible = false;
  630. group8.visible = true;
  631. //model.refresh();
  632. }
  633. function fList() {
  634. var aa = ds_hidden_ref.getColumn(0, "code")
  635. if(ds_hidden_ref.getColumn(0, "code") == "1") {
  636. group6.visible = false;
  637. group7.visible = false;
  638. group8.visible = true;
  639. }else if(ds_hidden_ref.getColumn(0, "code") == "2") {
  640. group6.visible = false;
  641. group7.visible = true;
  642. group8.visible = false;
  643. }else if(ds_hidden_ref.getColumn(0, "code") == "3") {
  644. group6.visible = true;
  645. group7.visible = false;
  646. group8.visible = false;
  647. }
  648. }
  649. function fExeCSV() {
  650. var fileName = "saveGridData.csv";
  651. var dd = utlf_getCurrentDate();
  652. if (ds_send.getColumn(0, "code") == "1") {
  653. // var fileName = window.fileDialog("save",",", false, "출고_"+utlf_getCurrentDate()+".csv","","");
  654. //
  655. // if (fileName != ""){
  656. // group8.datagrid3.saveText(fileName, "\n", ",", "", false, true);
  657. // }
  658. grdf_exportCsv(group8.datagrid3, "출고_"+dd, "", "OPEN");
  659. } else if (ds_send.getColumn(0, "code") == "2") {
  660. // var fileName = window.fileDialog("save",",", false, "재입고_"+utlf_getCurrentDate()+".csv","","");
  661. //
  662. // if (fileName != ""){
  663. // group7.datagrid4.saveText(fileName, "\n", ",", "", false, true);
  664. //
  665. // }
  666. grdf_exportCsv(group7.datagrid4, "재입고_"+dd, "", "OPEN");
  667. }else if (ds_send.getColumn(0, "code") == "3") {
  668. // var fileName = window.fileDialog("save",",", false, "폐기_"+utlf_getCurrentDate()+".csv","","");
  669. //
  670. // if (fileName != ""){
  671. // group6.datagrid5.saveText(fileName, "\n", ",", "", false, true);
  672. //
  673. // }
  674. grdf_exportCsv(group6.datagrid5, "폐기_"+dd, "", "OPEN");
  675. }
  676. }
  677. function fExeEXCEL(pGridId) {
  678. var dd = utlf_getCurrentDate();
  679. if (ds_send.getColumn(0, "code") == "1") {
  680. // var fileName = window.fileDialog("save", ",", false, "출고_"+dd, "xls", "All Files (*.*)|*.*|Excel Files(*.xls)|*.xls");
  681. //
  682. // if (fileName != "")
  683. // {
  684. // group8.datagrid3.saveExcel(fileName, dd, true, true , "", "0");
  685. // }
  686. //grdf_exportExcel(group8.datagrid3, "출고_"+dd, dd, true);
  687. grdf_exportExcel(group8.datagrid3, "출고_"+dd, dd, true, null, null, null, "align,wordwrap", true);
  688. } else if (ds_send.getColumn(0, "code") == "2") {
  689. // var fileName = window.fileDialog("save", ",", false, "재입고_"+dd, "xls", "All Files (*.*)|*.*|Excel Files(*.xls)|*.xls");
  690. //
  691. // if (fileName != "")
  692. // {
  693. // group7.datagrid4.saveExcel(fileName, dd, true, true , "", "0");
  694. // }
  695. //grdf_exportExcel(group7.datagrid4, "재입고_"+dd, dd, true);
  696. grdf_exportExcel(group7.datagrid4, "재입고_"+dd, dd, true, null, null, null, "align,wordwrap", true);
  697. }else if (ds_send.getColumn(0, "code") == "3") {
  698. // var fileName = window.fileDialog("save", ",", false, "폐기_"+dd, "xls", "All Files (*.*)|*.*|Excel Files(*.xls)|*.xls");
  699. //
  700. // if (fileName != "")
  701. // {
  702. // group6.datagrid5.saveExcel(fileName, dd, true, true , "", "0");
  703. // }
  704. //grdf_exportExcel(group6.datagrid5, "폐기_"+dd, dd, true);
  705. grdf_exportExcel(group6.datagrid5, "폐기_"+dd, dd, true, null, null, null, "align,wordwrap", true);
  706. }
  707. }
  708. //조회
  709. function fGetList() {
  710. if (ds_hidden_ref.getColumn(0, "code") == "1") {
  711. var startdd = ds_hidden_ref.getColumn(0, "fromdd")+ds_hidden_ref.getColumn(0, "fromtm");
  712. var enddd = ds_hidden_ref.getColumn(0, "todd")+ds_hidden_ref.getColumn(0, "totm");
  713. ds_send.setColumn( 0, "fromdd", startdd);
  714. ds_send.setColumn( 0, "todd", enddd);
  715. ds_send.setColumn( 0, "code", ds_hidden_ref.getColumn(0, "code"));
  716. // submit("TRLLP01604");
  717. var oParam = {};
  718. oParam.id = "TRLLP01604";
  719. oParam.service = "refprintmngtapp.GeneralRefPrintMngt";
  720. oParam.method = "reqTlist";
  721. oParam.inds = "cond=ds_send";
  722. oParam.outds = "ds_main_reqTlist=reqTlist";
  723. oParam.async = false;
  724. //oParam.callback = "cf_TRLLP01604";
  725. tranf_submit(oParam);
  726. /*
  727. function cf_TRLLP01604(sSvcId, nErrorCode, sErrorMsg) {
  728. if(nErrorCode < 0) return;
  729. }
  730. function cf_TRLLP01604(sSvcId, nErrorCode, sErrorMsg) {
  731. arErrorCode.push(sSvcId, nErrorCode);
  732. }
  733. arErrorCode.pop("TRLLP01604") > -1
  734. arErrorCode.pop("TRLLP01604") < 0
  735. */
  736. ds_hidden_tlist_reqTlist.copyData(ds_main_reqTlist);
  737. //group8.datagrid3.refresh();
  738. //group8.datagrid3.insertItem(0,"after", false);
  739. // ds_hidden_tlist_reqTlist.setColumn( 0, "blodno", "혈액번호");
  740. // ds_hidden_tlist_reqTlist.setColumn( 0, "blodcd", "혈액제제코드");
  741. // ds_hidden_tlist_reqTlist.setColumn( 0, "blodcomnm", "혈액제제명");
  742. // ds_hidden_tlist_reqTlist.setColumn( 0, "blodstat", "출고구분");
  743. // ds_hidden_tlist_reqTlist.setColumn( 0, "day", "출고일자");
  744. // ds_hidden_tlist_reqTlist.setColumn( 0, "time", "출고시간");
  745. // ds_hidden_tlist_reqTlist.setColumn( 0, "bloodcd", "혈액형코드");
  746. // ds_hidden_tlist_reqTlist.setColumn( 0, "bloodnm", "혈액형명");
  747. // ds_hidden_tlist_reqTlist.setColumn( 0, "deliveid", "출고자");
  748. // ds_hidden_tlist_reqTlist.setColumn( 0, "sex", "성별");
  749. // ds_hidden_tlist_reqTlist.setColumn( 0, "birthday", "출생년도");
  750. // ds_hidden_tlist_reqTlist.setColumn( 0, "bloodgu", "혈액형");
  751. // ds_hidden_tlist_reqTlist.setColumn( 0, "district", "지역");
  752. // ds_hidden_tlist_reqTlist.setColumn( 0, "deptcd", "진료과");
  753. //group8.datagrid3.refresh();
  754. }else if (ds_hidden_ref.getColumn(0, "code") == "2") {
  755. var startdd = ds_hidden_ref.getColumn(0, "fromdd")+ds_hidden_ref.getColumn(0, "fromtm");
  756. var enddd = ds_hidden_ref.getColumn(0, "todd")+ds_hidden_ref.getColumn(0, "totm");
  757. ds_send.setColumn( 0, "fromdd", startdd);
  758. ds_send.setColumn( 0, "todd", enddd);
  759. ds_send.setColumn( 0, "code", ds_hidden_ref.getColumn(0, "code"));
  760. // submit("TRLLP01603");
  761. var oParam = {};
  762. oParam.id = "TRLLP01603";
  763. oParam.service = "refprintmngtapp.GeneralRefPrintMngt";
  764. oParam.method = "reqRlist";
  765. oParam.inds = "cond=ds_send";
  766. oParam.outds = "ds_main_reqRlist=reqRlist";
  767. oParam.async = false;
  768. //oParam.callback = "cf_TRLLP01603";
  769. tranf_submit(oParam);
  770. /*
  771. function cf_TRLLP01603(sSvcId, nErrorCode, sErrorMsg) {
  772. if(nErrorCode < 0) return;
  773. }
  774. function cf_TRLLP01603(sSvcId, nErrorCode, sErrorMsg) {
  775. arErrorCode.push(sSvcId, nErrorCode);
  776. }
  777. arErrorCode.pop("TRLLP01603") > -1
  778. arErrorCode.pop("TRLLP01603") < 0
  779. */
  780. ds_hidden_rlist_reqRlist.copyData(ds_main_reqRlist);
  781. //group7.datagrid4.refresh();
  782. // group7.datagrid4.insertItem(0,"after", false);
  783. // ds_hidden_rlist_reqRlist.setColumn( 0, "blodno", "혈액번호");
  784. // ds_hidden_rlist_reqRlist.setColumn( 0, "blodcd", "혈액제제코드");
  785. // ds_hidden_rlist_reqRlist.setColumn( 0, "blodcomnm", "혈액제제명");
  786. // ds_hidden_rlist_reqRlist.setColumn( 0, "blodstat", "입고구분");
  787. // ds_hidden_rlist_reqRlist.setColumn( 0, "day", "입고일자");
  788. // ds_hidden_rlist_reqRlist.setColumn( 0, "time", "입고시간");
  789. // ds_hidden_rlist_reqRlist.setColumn( 0, "proddt", "채혈일자");
  790. // ds_hidden_rlist_reqRlist.setColumn( 0, "bloodcd", "혈액형코드");
  791. // ds_hidden_rlist_reqRlist.setColumn( 0, "bloodnm", "혈액형명");
  792. // ds_hidden_rlist_reqRlist.setColumn( 0, "usernm", "입고자");
  793. //group7.datagrid4.refresh();
  794. }else if (ds_hidden_ref.getColumn(0, "code") == "3") {
  795. var startdd = ds_hidden_ref.getColumn(0, "fromdd")+ds_hidden_ref.getColumn(0, "fromtm");
  796. var enddd = ds_hidden_ref.getColumn(0, "todd")+ds_hidden_ref.getColumn(0, "totm");
  797. ds_send.setColumn( 0, "fromdd", startdd);
  798. ds_send.setColumn( 0, "todd", enddd);
  799. ds_send.setColumn( 0, "code", ds_hidden_ref.getColumn(0, "code"));
  800. // submit("TRLLP01602");
  801. var oParam = {};
  802. oParam.id = "TRLLP01602";
  803. oParam.service = "refprintmngtapp.GeneralRefPrintMngt";
  804. oParam.method = "reqList";
  805. oParam.inds = "cond=ds_send";
  806. oParam.outds = "ds_main_reqList=reqList";
  807. oParam.async = false;
  808. //oParam.callback = "cf_TRLLP01602";
  809. tranf_submit(oParam);
  810. /*
  811. function cf_TRLLP01602(sSvcId, nErrorCode, sErrorMsg) {
  812. if(nErrorCode < 0) return;
  813. }
  814. function cf_TRLLP01602(sSvcId, nErrorCode, sErrorMsg) {
  815. arErrorCode.push(sSvcId, nErrorCode);
  816. }
  817. arErrorCode.pop("TRLLP01602") > -1
  818. arErrorCode.pop("TRLLP01602") < 0
  819. */
  820. ds_hidden_list_reqList.copyData(ds_main_reqList);
  821. //group6.datagrid5.refresh();
  822. //group6.datagrid5.insertItem(0,"after", false);
  823. // ds_hidden_list_reqList.setColumn( 0, "blodno", "혈액번호");
  824. // ds_hidden_list_reqList.setColumn( 0, "blodcd", "혈액제제코드");
  825. // ds_hidden_list_reqList.setColumn( 0, "blodcomnm", "혈액제제명");
  826. // ds_hidden_list_reqList.setColumn( 0, "blodstat", "출고구분");
  827. // ds_hidden_list_reqList.setColumn( 0, "day", "출고일자");
  828. // ds_hidden_list_reqList.setColumn( 0, "time", "출고시간");
  829. // ds_hidden_list_reqList.setColumn( 0, "bloodcd", "혈액형코드");
  830. // ds_hidden_list_reqList.setColumn( 0, "bloodnm", "혈액형명");
  831. // ds_hidden_list_reqList.setColumn( 0, "deliveid", "출고자");
  832. //group6.datagrid5.refresh();
  833. }
  834. }
  835. //스크립트 끝
  836. function SMLBP02900_onload(obj:Form, e:LoadEventInfo) {
  837. frmf_initForm(obj);
  838. grdf_initGrid(group6.grd_3);
  839. grdf_initGrid(group7.datagrid1);
  840. grdf_initGrid(group8.datagrid2);
  841. //grdf_setGridSort(grd_XXX);
  842. //grdf_setRowTypeIcon(grd_XXX, 0_컬럼위치값);
  843. fSetInit();
  844. }
  845. function group8_datagrid2_onaftersort() {
  846. group8.datagrid2.gridToInstance();
  847. }
  848. function group8_datagrid3_onaftersort() {
  849. group8.datagrid3.gridToInstance();
  850. }
  851. function group7_datagrid1_onaftersort() {
  852. group7.datagrid1.gridToInstance();
  853. }
  854. function group7_datagrid4_onaftersort() {
  855. group7.datagrid4.gridToInstance();
  856. }
  857. function group3_group2_button1_onclick(obj:Button, e:ClickEventInfo) {
  858. fGetList();
  859. }
  860. function group3_group2_combo1_onitemclick(obj:Combo, e:ListBoxClickEventInfo) {
  861. obj.updateToDataset();
  862. fList();
  863. }
  864. function group4_button5_onclick(obj:Button, e:ClickEventInfo) {
  865. window.reload();
  866. }
  867. function group4_button2_onclick(obj:Button, e:ClickEventInfo) {
  868. fExeCSV();
  869. }
  870. function group4_button3_onclick(obj:Button, e:ClickEventInfo) {
  871. fExeEXCEL();
  872. }
  873. function group6_grd_3_onaftersort() {
  874. group6.grd_3.gridToInstance();
  875. }
  876. function group6_datagrid5_onaftersort() {
  877. group6.datagrid5.gridToInstance();
  878. }
  879. function group3_group2_combo1_onitemchanged(obj:Combo, e:ItemChangeEventInfo)
  880. {
  881. obj.updateToDataset();
  882. fList();
  883. }
  884. ]]></Script>
  885. </Form>
  886. </FDL>