RAM001.js 11 KB

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  1. /***************************************************************************************************************
  2. *
  3. * ramfLineSetting rexport 에서 셀의 밑줄 긋는 필드를 계산한다.
  4. *
  5. * ramfSheetColor 재무제표에서 대분류 관 항 목 세목에 따라 그리드에 색을 넣어준다.
  6. *
  7. * ramfFnworkFormula 원 천원 백만원 단위를 반올림하여 계산한다.
  8. *
  9. ***************************************************************************************************************/
  10. /*************************************
  11. * lowhightacnt 목단위/세목단위(lowacnt/highacnt)
  12. * gridnode 그리드의 노드셋
  13. * calline 계산 결과가 입력되는 컬럼
  14. *************************************/
  15. function ramfLineSetting(lowhightacnt, gridnode, calline)
  16. {
  17. if(model.getValue(lowhightacnt) == "0")
  18. {
  19. var lineflag = "0";
  20. }
  21. else
  22. {
  23. var lineflag = "1";
  24. }
  25. var preacntflag = "N";//첫 행은 비교 하지 않음
  26. for( i = 1 ; i <= instance1.selectNodes(gridnode).length ; i++ )
  27. {
  28. if(preacntflag == lineflag && model.getValue(gridnode + "[" + i + "]/acntclsflag") == lineflag)
  29. {
  30. model.setValue(gridnode + "[" + i + "]/" + calline, "no_upline")
  31. }
  32. var preacntflag = model.getValue(gridnode + "[" + i + "]/acntclsflag")
  33. }
  34. }
  35. /*************************************
  36. * grid 그리드 ID
  37. * lowhightacnt 목단위/세목단위(lowacnt/highacnt)
  38. * printcolRef 가운데 정렬할 대분류의 컬럼
  39. *************************************/
  40. function ramfSheetColor(grid, lowhightacnt, printcolRef)
  41. {
  42. for(i = grid.fixedRows ; i < grid.rows ; i++)
  43. {
  44. if(grid.valueMatrix(i, grid.colRef("acntclsflag")) == '5')
  45. {
  46. grid.rowStyle(i, "data", "background-color") = "#ffff99"
  47. grid.rowStyle(i, "data", "font-weight") = "bold"
  48. grid.cellStyle("text-align", i, grid.colRef(printcolRef)) = "center"
  49. }
  50. else if(grid.valueMatrix(i, grid.colRef("acntclsflag")) == '4')
  51. {
  52. grid.rowStyle(i, "data", "background-color") = "#99ccff"
  53. grid.rowStyle(i, "data", "font-weight") = "bold"
  54. }
  55. else if(grid.valueMatrix(i, grid.colRef("acntclsflag")) == '3')
  56. {
  57. grid.rowStyle(i, "data", "background-color") = "#66ffff"
  58. }
  59. else if(grid.valueMatrix(i, grid.colRef("acntclsflag")) == '2')
  60. {
  61. grid.rowStyle(i, "data", "background-color") = "#ccffff"
  62. }
  63. else if(grid.valueMatrix(i, grid.colRef("acntclsflag")) == '1')
  64. {
  65. grid.rowStyle(i, "data", "background-color") = "#ffffee"
  66. }
  67. else if(grid.valueMatrix(i, grid.colRef("acntclsflag")) == '0')
  68. {
  69. grid.rowStyle(i, "data", "background-color") = "#ffffff"
  70. }
  71. }
  72. }
  73. /*************************************
  74. * grid 그리드 ID
  75. * acntcolumn 계정 컬럼명
  76. * calculationcolumn 계산식 컬럼명
  77. * sourcecolumn 계산에 사용되는 인자의 컬럼명
  78. * returncolumn 계산 결과가 입력되는 컬럼명
  79. *************************************/
  80. function ramfFnworkFormula(grid, acntcolumn, calculationcolumn, sourcecolumn, returncolumn)
  81. {
  82. var instancerows = instance1.selectNodes(grid.nodeset).length;
  83. var instancefirstrow = 1;
  84. var seq = 0;
  85. var acntmappingrownum = new Array();
  86. var arrvalue = new Array();
  87. var calarr = sourcecolumn.split(",");
  88. var calarrlength = calarr.length;
  89. var returnarr = returncolumn.split(",");
  90. var returnarrlength = returnarr.length;
  91. var insertionValue = 0;
  92. if(calarrlength != returnarrlength)
  93. {
  94. messageBox("계산식 필드 애러", "E008");
  95. return;
  96. }
  97. calarrvalue = new Array(instancerows);
  98. for(var i = instancefirstrow ; i <= instancerows ; i++)
  99. {
  100. calarrvalue[i] = new Array(calarrlength);
  101. for(j = 0 ; j <= calarrlength - 1 ; j++)
  102. {
  103. if(model.getValue(grid.nodeset + "[" + i + "]/" + calarr[j]) == "")
  104. {
  105. insertionValue = 0;
  106. }
  107. else
  108. {
  109. insertionValue = parseInt(model.getValue(grid.nodeset + "[" + i + "]/" + calarr[j]));
  110. }
  111. calarrvalue[i][j] = insertionValue;
  112. }
  113. acntmappingrownum[i] = model.getValue(grid.nodeset + "[" + i + "]/" + acntcolumn);
  114. }
  115. for(var m = instancefirstrow ; m <= instancerows ; m++)
  116. {
  117. if(model.getValue(grid.nodeset + "[" + m + "]/" + calculationcolumn) != "" && model.getValue(grid.nodeset + "[" + m + "]/" + calculationcolumn) != null)
  118. {
  119. var temparr = model.getValue(grid.nodeset + "[" + m + "]/" + calculationcolumn)
  120. arr = temparr.split("-");
  121. var firstminusflag = 0;
  122. if(arr[0] == '')
  123. {
  124. firstminusflag = 1;
  125. }
  126. arrrows = arr.length;
  127. var plusarr = new Array();
  128. var minusarr = new Array();
  129. var minusarrseq = 0;
  130. var plusarrseq = 0;
  131. for(var i = firstminusflag ; i <= arrrows-1 ; i++)
  132. {
  133. temparr = arr[i].split('+');
  134. if(firstminusflag == 0 && i == 0)
  135. {
  136. plusarr[plusarrseq] = temparr[i];
  137. plusarrseq++;
  138. }
  139. else
  140. {
  141. minusarr[minusarrseq] = temparr[0];
  142. minusarrseq++;
  143. }
  144. for(var j = 1 ; j <= temparr.length - 1 ; j++)
  145. {
  146. plusarr[plusarrseq] = temparr[j];
  147. plusarrseq++;
  148. }
  149. }
  150. var resultarr = new Array();
  151. for(k = 0 ; k <= calarrlength - 1 ; k++)
  152. {
  153. resultarr[k] = 0;
  154. }
  155. for(var i = instancefirstrow ; i <= instancerows ; i++)
  156. {
  157. for(var j = 0 ; j <= plusarr.length - 1 ; j++)
  158. {
  159. if(plusarr[j] == acntmappingrownum[i])
  160. {
  161. for(var k = 0 ; k <= calarrlength - 1 ; k++)
  162. {
  163. resultarr[k] = resultarr[k] + calarrvalue[i][k];
  164. }
  165. }
  166. }
  167. for(var j = 0 ; j <= minusarr.length - 1 ; j++)
  168. {
  169. if(plusarr[j] == acntmappingrownum[i])
  170. {
  171. for(var k = 0 ; k <= calarrlength - 1 ; k++)
  172. {
  173. resultarr[k] = resultarr[k] - calarrvalue[i][k];
  174. }
  175. }
  176. }
  177. }
  178. for(k = 0 ; k <= calarrlength - 1 ; k++)
  179. {
  180. model.setValue(grid.nodeset + "[" + m + "]/" + returnarr[k], Math.round(resultarr[k]/model.getValue("/root/send/moneyunit")));
  181. }
  182. }
  183. }
  184. model.refresh();
  185. }
  186. /*************************************
  187. * tempsheetlist 노드셋
  188. * seqcolumn 순번 컬럼명
  189. * calculationcolumn 계산식 컬럼명
  190. * sourcecolumn 계산에 사용되는 인자의 컬럼명
  191. * returncolumn 계산 결과가 입력되는 컬럼
  192. * optcolumn 옵션 컬럼명
  193. * maxcalseq 옵셥 값 파라미터
  194. *************************************/
  195. function ramfCashFlowFormula(valuenode, seqcolumn, calculationcolumn, sourcecolumn, returncolumn, optcolumn, maxcalseq, calbase)
  196. {
  197. var instancerows = instance1.selectNodes(valuenode).length;
  198. var instancefirstrow = 1;
  199. var seq = 0;
  200. var seqmappingrownum = new Array();
  201. var arrvalue = new Array();
  202. var optarr = optcolumn.split(',');
  203. var optarrlength = optarr.length;
  204. var calarr = sourcecolumn.split(',');
  205. var calarrlength = calarr.length;
  206. var returnarr = returncolumn.split(',');
  207. var returnarrlength = returnarr.length;
  208. var insertionValue = 0;
  209. if(calarrlength != returnarrlength)
  210. {
  211. messageBox("계산식 필드 애러", "E008");
  212. //return;
  213. }
  214. calarrvalue = new Array(instancerows);
  215. for(var i = instancefirstrow ; i <= instancerows ; i++)
  216. {
  217. calarrvalue[i] = new Array(calarrlength);
  218. for(j = 0 ; j <= calarrlength - 1 ; j++)
  219. {
  220. if(model.getValue(valuenode + "[" + i + "]/" + calarr[j]) == "")
  221. {
  222. insertionValue = 0;
  223. }
  224. else
  225. {
  226. insertionValue = parseInt(model.getValue(valuenode + "[" + i + "]/" + calarr[j]));
  227. }
  228. calarrvalue[i][j] = insertionValue;
  229. }
  230. seqmappingrownum[i] = model.getValue(valuenode + "[" + i + "]/" + seqcolumn);
  231. }
  232. for(var m = instancefirstrow ; m <= instancerows ; m++)
  233. {
  234. if(model.getValue(valuenode + "[" + m + "]/" + calculationcolumn) != "" && model.getValue(valuenode + "[" + m + "]/" + calculationcolumn) != null && maxcalseq == model.getValue(valuenode + "[" + m + "]/" + optarr[1]))
  235. {
  236. var minusstr = "";
  237. var plusstr = "";
  238. var temparr = model.getValue(valuenode + "[" + m + "]/" + calculationcolumn)
  239. arr = temparr.split("-");
  240. for( i = 0 ; i < arr.length ; i++ )
  241. {
  242. if( i == 0 )
  243. {
  244. var firstarr = arr[i].split("+");
  245. if(firstarr.length > 0)
  246. {
  247. for( k = 0 ; k < firstarr.length ; k++)
  248. {
  249. plusstr = plusstr + firstarr[k] + "|";
  250. }
  251. }
  252. }
  253. else
  254. {
  255. var unitarr = arr[i].split("+");
  256. minusstr = minusstr + unitarr[0] + "|";
  257. if(unitarr.length > 1)
  258. {
  259. for(k = 1 ; k < unitarr.length ; k++)
  260. {
  261. plusstr = plusstr + unitarr[k] + "|";
  262. }
  263. }
  264. }
  265. }
  266. var plusarr = plusstr.split("|");
  267. var minusarr = minusstr.split("|");
  268. var resultarr = new Array();
  269. for(k = 0 ; k < calarrlength ; k++)
  270. {
  271. resultarr[k] = 0;
  272. }
  273. for(var i = instancefirstrow ; i <= instancerows ; i++)
  274. {
  275. for(var j = 0 ; j < plusarr.length - 1 ; j++)
  276. {
  277. if(plusarr[j] == seqmappingrownum[i])
  278. {
  279. for(var k = 0 ; k < calarrlength ; k++)
  280. {
  281. resultarr[k] = resultarr[k] + calarrvalue[i][k];
  282. }
  283. }
  284. }
  285. for(var j = 0 ; j < minusarr.length - 1 ; j++)
  286. {
  287. if(minusarr[j] == seqmappingrownum[i])
  288. {
  289. for(var k = 0 ; k < calarrlength ; k++)
  290. {
  291. resultarr[k] = resultarr[k] - calarrvalue[i][k];
  292. }
  293. }
  294. }
  295. }
  296. for(k = 0 ; k < calarrlength ; k++)
  297. {
  298. if((calbase == "N" || calbase != "" && model.getValue(valuenode + "[" + m + "]/prntnm4") == calbase))
  299. {
  300. model.setValue(valuenode + "[" + m + "]/" + returnarr[k], resultarr[k]);
  301. }
  302. //alert(model.getValue(valuenode + "[" + m + "]/seq" ) + " " + returnarr[k] + " " + resultarr[k]);
  303. }
  304. }
  305. }
  306. }
  307. /*************************************
  308. * valnode 노드셋
  309. * valcol (복사죌)기준값
  310. * comparedcol 비교될 컬럼
  311. * Avalset 비교A colset
  312. * Asetcol 복사A colset
  313. * Bvalset 비교B colset
  314. * Bsetcol 복사A colset
  315. *************************************/
  316. function ramfFnworksheetAlign(valnode, valcol, comparedcol, Avalset, Asetcol, Bvalset, Bsetcol, Cvalset, Csetcol, Dvalset, Dsetcol)
  317. {
  318. var arrvalcol = valcol.split(",");
  319. var arrAvalset = Avalset.split(",");
  320. var arrAsetcol = Asetcol.split(",");
  321. var arrBvalset = Bvalset.split(",");
  322. var arrBsetcol = Bsetcol.split(",");
  323. /* var arrCvalset = Cvalset.split(",");
  324. var arrCsetcol = Csetcol.split(",");
  325. var arrDvalset = Dvalset.split(",");
  326. var arrDsetcol = Dsetcol.split(","); */
  327. for(var i = 1 ; i <= model.instance1.selectNodes(valnode).length ; i++)
  328. {
  329. for(j = 0 ; j < arrAvalset.length ; j++)
  330. {
  331. if(model.getValue(valnode + "[" + i + "]/" + comparedcol) == arrAvalset[j])
  332. {
  333. for(m = 0 ; m < valcol.length ; m++)
  334. {
  335. if(model.getValue(valnode + "[" + i + "]/" + arrvalcol[m]) != "")
  336. {
  337. model.setValue(valnode + "[" + i + "]/" + arrAsetcol[m], model.getValue(valnode + "[" + i + "]/" + arrvalcol[m]));
  338. }
  339. }
  340. }
  341. break;
  342. }
  343. for(j = 0 ; j < arrBvalset.length ; j++)
  344. {
  345. if(model.getValue(valnode + "[" + i + "]/" + comparedcol) == arrBvalset[j])
  346. {
  347. for(m = 0 ; m < valcol.length ; m++)
  348. {
  349. if(model.getValue(valnode + "[" + i + "]/" + arrvalcol[m]) != "")
  350. {
  351. model.setValue(valnode + "[" + i + "]/" + arrBsetcol[m], model.getValue(valnode + "[" + i + "]/" + arrvalcol[m]));
  352. }
  353. }
  354. break;
  355. }
  356. }
  357. }
  358. }