그리드? 일단 추가랑 복사기능 되게 했음

2026-01-08 17:05:27 +09:00
parent df94d73662
commit b85b3cd578
12 changed files with 3088 additions and 0 deletions
--- a/frontend/lib/registry/components/pivot-grid/utils/pivotEngine.ts
+++ b/frontend/lib/registry/components/pivot-grid/utils/pivotEngine.ts
@@ -0,0 +1,620 @@
+/**
+ * PivotGrid 데이터 처리 엔진
+ * 원시 데이터를 피벗 구조로 변환합니다.
+ */
+
+import {
+  PivotFieldConfig,
+  PivotResult,
+  PivotHeaderNode,
+  PivotFlatRow,
+  PivotFlatColumn,
+  PivotCellValue,
+  DateGroupInterval,
+  AggregationType,
+} from "../types";
+import { aggregate, formatNumber, formatDate } from "./aggregation";
+
+// ==================== 헬퍼 함수 ====================
+
+/**
+ * 필드 값 추출 (날짜 그룹핑 포함)
+ */
+function getFieldValue(
+  row: Record<string, any>,
+  field: PivotFieldConfig
+): string {
+  const rawValue = row[field.field];
+
+  if (rawValue === null || rawValue === undefined) {
+    return "(빈 값)";
+  }
+
+  // 날짜 그룹핑 처리
+  if (field.groupInterval && field.dataType === "date") {
+    const date = new Date(rawValue);
+    if (isNaN(date.getTime())) return String(rawValue);
+
+    switch (field.groupInterval) {
+      case "year":
+        return String(date.getFullYear());
+      case "quarter":
+        return `Q${Math.ceil((date.getMonth() + 1) / 3)}`;
+      case "month":
+        return `${date.getFullYear()}-${String(date.getMonth() + 1).padStart(2, "0")}`;
+      case "week":
+        const weekNum = getWeekNumber(date);
+        return `${date.getFullYear()}-W${String(weekNum).padStart(2, "0")}`;
+      case "day":
+        return formatDate(date, "YYYY-MM-DD");
+      default:
+        return String(rawValue);
+    }
+  }
+
+  return String(rawValue);
+}
+
+/**
+ * 주차 계산
+ */
+function getWeekNumber(date: Date): number {
+  const d = new Date(
+    Date.UTC(date.getFullYear(), date.getMonth(), date.getDate())
+  );
+  const dayNum = d.getUTCDay() || 7;
+  d.setUTCDate(d.getUTCDate() + 4 - dayNum);
+  const yearStart = new Date(Date.UTC(d.getUTCFullYear(), 0, 1));
+  return Math.ceil(((d.getTime() - yearStart.getTime()) / 86400000 + 1) / 7);
+}
+
+/**
+ * 경로를 키로 변환
+ */
+export function pathToKey(path: string[]): string {
+  return path.join("||");
+}
+
+/**
+ * 키를 경로로 변환
+ */
+export function keyToPath(key: string): string[] {
+  return key.split("||");
+}
+
+// ==================== 헤더 생성 ====================
+
+/**
+ * 계층적 헤더 노드 생성
+ */
+function buildHeaderTree(
+  data: Record<string, any>[],
+  fields: PivotFieldConfig[],
+  expandedPaths: Set<string>
+): PivotHeaderNode[] {
+  if (fields.length === 0) return [];
+
+  // 첫 번째 필드로 그룹화
+  const firstField = fields[0];
+  const groups = new Map<string, Record<string, any>[]>();
+
+  data.forEach((row) => {
+    const value = getFieldValue(row, firstField);
+    if (!groups.has(value)) {
+      groups.set(value, []);
+    }
+    groups.get(value)!.push(row);
+  });
+
+  // 정렬
+  const sortedKeys = Array.from(groups.keys()).sort((a, b) => {
+    if (firstField.sortOrder === "desc") {
+      return b.localeCompare(a, "ko");
+    }
+    return a.localeCompare(b, "ko");
+  });
+
+  // 노드 생성
+  const nodes: PivotHeaderNode[] = [];
+  const remainingFields = fields.slice(1);
+
+  for (const key of sortedKeys) {
+    const groupData = groups.get(key)!;
+    const path = [key];
+    const pathKey = pathToKey(path);
+
+    const node: PivotHeaderNode = {
+      value: key,
+      caption: key,
+      level: 0,
+      isExpanded: expandedPaths.has(pathKey),
+      path: path,
+      span: 1,
+    };
+
+    // 자식 노드 생성 (확장된 경우만)
+    if (remainingFields.length > 0 && node.isExpanded) {
+      node.children = buildChildNodes(
+        groupData,
+        remainingFields,
+        path,
+        expandedPaths,
+        1
+      );
+      // span 계산
+      node.span = calculateSpan(node.children);
+    }
+
+    nodes.push(node);
+  }
+
+  return nodes;
+}
+
+/**
+ * 자식 노드 재귀 생성
+ */
+function buildChildNodes(
+  data: Record<string, any>[],
+  fields: PivotFieldConfig[],
+  parentPath: string[],
+  expandedPaths: Set<string>,
+  level: number
+): PivotHeaderNode[] {
+  if (fields.length === 0) return [];
+
+  const field = fields[0];
+  const groups = new Map<string, Record<string, any>[]>();
+
+  data.forEach((row) => {
+    const value = getFieldValue(row, field);
+    if (!groups.has(value)) {
+      groups.set(value, []);
+    }
+    groups.get(value)!.push(row);
+  });
+
+  const sortedKeys = Array.from(groups.keys()).sort((a, b) => {
+    if (field.sortOrder === "desc") {
+      return b.localeCompare(a, "ko");
+    }
+    return a.localeCompare(b, "ko");
+  });
+
+  const nodes: PivotHeaderNode[] = [];
+  const remainingFields = fields.slice(1);
+
+  for (const key of sortedKeys) {
+    const groupData = groups.get(key)!;
+    const path = [...parentPath, key];
+    const pathKey = pathToKey(path);
+
+    const node: PivotHeaderNode = {
+      value: key,
+      caption: key,
+      level: level,
+      isExpanded: expandedPaths.has(pathKey),
+      path: path,
+      span: 1,
+    };
+
+    if (remainingFields.length > 0 && node.isExpanded) {
+      node.children = buildChildNodes(
+        groupData,
+        remainingFields,
+        path,
+        expandedPaths,
+        level + 1
+      );
+      node.span = calculateSpan(node.children);
+    }
+
+    nodes.push(node);
+  }
+
+  return nodes;
+}
+
+/**
+ * span 계산 (colspan/rowspan)
+ */
+function calculateSpan(children?: PivotHeaderNode[]): number {
+  if (!children || children.length === 0) return 1;
+  return children.reduce((sum, child) => sum + child.span, 0);
+}
+
+// ==================== 플랫 구조 변환 ====================
+
+/**
+ * 헤더 트리를 플랫 행으로 변환
+ */
+function flattenRows(nodes: PivotHeaderNode[]): PivotFlatRow[] {
+  const result: PivotFlatRow[] = [];
+
+  function traverse(node: PivotHeaderNode) {
+    result.push({
+      path: node.path,
+      level: node.level,
+      caption: node.caption,
+      isExpanded: node.isExpanded,
+      hasChildren: !!(node.children && node.children.length > 0),
+    });
+
+    if (node.isExpanded && node.children) {
+      for (const child of node.children) {
+        traverse(child);
+      }
+    }
+  }
+
+  for (const node of nodes) {
+    traverse(node);
+  }
+
+  return result;
+}
+
+/**
+ * 헤더 트리를 플랫 열로 변환 (각 레벨별)
+ */
+function flattenColumns(
+  nodes: PivotHeaderNode[],
+  maxLevel: number
+): PivotFlatColumn[][] {
+  const levels: PivotFlatColumn[][] = Array.from(
+    { length: maxLevel + 1 },
+    () => []
+  );
+
+  function traverse(node: PivotHeaderNode, currentLevel: number) {
+    levels[currentLevel].push({
+      path: node.path,
+      level: currentLevel,
+      caption: node.caption,
+      span: node.span,
+    });
+
+    if (node.children && node.isExpanded) {
+      for (const child of node.children) {
+        traverse(child, currentLevel + 1);
+      }
+    } else if (currentLevel < maxLevel) {
+      // 확장되지 않은 노드는 다음 레벨들에서 span으로 처리
+      for (let i = currentLevel + 1; i <= maxLevel; i++) {
+        levels[i].push({
+          path: node.path,
+          level: i,
+          caption: "",
+          span: node.span,
+        });
+      }
+    }
+  }
+
+  for (const node of nodes) {
+    traverse(node, 0);
+  }
+
+  return levels;
+}
+
+/**
+ * 열 헤더의 최대 깊이 계산
+ */
+function getMaxColumnLevel(
+  nodes: PivotHeaderNode[],
+  totalFields: number
+): number {
+  let maxLevel = 0;
+
+  function traverse(node: PivotHeaderNode, level: number) {
+    maxLevel = Math.max(maxLevel, level);
+    if (node.children && node.isExpanded) {
+      for (const child of node.children) {
+        traverse(child, level + 1);
+      }
+    }
+  }
+
+  for (const node of nodes) {
+    traverse(node, 0);
+  }
+
+  return Math.min(maxLevel, totalFields - 1);
+}
+
+// ==================== 데이터 매트릭스 생성 ====================
+
+/**
+ * 데이터 매트릭스 생성
+ */
+function buildDataMatrix(
+  data: Record<string, any>[],
+  rowFields: PivotFieldConfig[],
+  columnFields: PivotFieldConfig[],
+  dataFields: PivotFieldConfig[],
+  flatRows: PivotFlatRow[],
+  flatColumnLeaves: string[][]
+): Map<string, PivotCellValue[]> {
+  const matrix = new Map<string, PivotCellValue[]>();
+
+  // 각 셀에 대해 해당하는 데이터 집계
+  for (const row of flatRows) {
+    for (const colPath of flatColumnLeaves) {
+      const cellKey = `${pathToKey(row.path)}|||${pathToKey(colPath)}`;
+
+      // 해당 행/열 경로에 맞는 데이터 필터링
+      const filteredData = data.filter((record) => {
+        // 행 조건 확인
+        for (let i = 0; i < row.path.length; i++) {
+          const field = rowFields[i];
+          if (!field) continue;
+          const value = getFieldValue(record, field);
+          if (value !== row.path[i]) return false;
+        }
+
+        // 열 조건 확인
+        for (let i = 0; i < colPath.length; i++) {
+          const field = columnFields[i];
+          if (!field) continue;
+          const value = getFieldValue(record, field);
+          if (value !== colPath[i]) return false;
+        }
+
+        return true;
+      });
+
+      // 데이터 필드별 집계
+      const cellValues: PivotCellValue[] = dataFields.map((dataField) => {
+        const values = filteredData.map((r) => r[dataField.field]);
+        const aggregatedValue = aggregate(
+          values,
+          dataField.summaryType || "sum"
+        );
+        const formattedValue = formatNumber(
+          aggregatedValue,
+          dataField.format
+        );
+
+        return {
+          field: dataField.field,
+          value: aggregatedValue,
+          formattedValue,
+        };
+      });
+
+      matrix.set(cellKey, cellValues);
+    }
+  }
+
+  return matrix;
+}
+
+/**
+ * 열 leaf 노드 경로 추출
+ */
+function getColumnLeaves(nodes: PivotHeaderNode[]): string[][] {
+  const leaves: string[][] = [];
+
+  function traverse(node: PivotHeaderNode) {
+    if (!node.isExpanded || !node.children || node.children.length === 0) {
+      leaves.push(node.path);
+    } else {
+      for (const child of node.children) {
+        traverse(child);
+      }
+    }
+  }
+
+  for (const node of nodes) {
+    traverse(node);
+  }
+
+  // 열 필드가 없을 경우 빈 경로 추가
+  if (leaves.length === 0) {
+    leaves.push([]);
+  }
+
+  return leaves;
+}
+
+// ==================== 총합계 계산 ====================
+
+/**
+ * 총합계 계산
+ */
+function calculateGrandTotals(
+  data: Record<string, any>[],
+  rowFields: PivotFieldConfig[],
+  columnFields: PivotFieldConfig[],
+  dataFields: PivotFieldConfig[],
+  flatRows: PivotFlatRow[],
+  flatColumnLeaves: string[][]
+): {
+  row: Map<string, PivotCellValue[]>;
+  column: Map<string, PivotCellValue[]>;
+  grand: PivotCellValue[];
+} {
+  const rowTotals = new Map<string, PivotCellValue[]>();
+  const columnTotals = new Map<string, PivotCellValue[]>();
+
+  // 행별 총합 (각 행의 모든 열 합계)
+  for (const row of flatRows) {
+    const filteredData = data.filter((record) => {
+      for (let i = 0; i < row.path.length; i++) {
+        const field = rowFields[i];
+        if (!field) continue;
+        const value = getFieldValue(record, field);
+        if (value !== row.path[i]) return false;
+      }
+      return true;
+    });
+
+    const cellValues: PivotCellValue[] = dataFields.map((dataField) => {
+      const values = filteredData.map((r) => r[dataField.field]);
+      const aggregatedValue = aggregate(values, dataField.summaryType || "sum");
+      return {
+        field: dataField.field,
+        value: aggregatedValue,
+        formattedValue: formatNumber(aggregatedValue, dataField.format),
+      };
+    });
+
+    rowTotals.set(pathToKey(row.path), cellValues);
+  }
+
+  // 열별 총합 (각 열의 모든 행 합계)
+  for (const colPath of flatColumnLeaves) {
+    const filteredData = data.filter((record) => {
+      for (let i = 0; i < colPath.length; i++) {
+        const field = columnFields[i];
+        if (!field) continue;
+        const value = getFieldValue(record, field);
+        if (value !== colPath[i]) return false;
+      }
+      return true;
+    });
+
+    const cellValues: PivotCellValue[] = dataFields.map((dataField) => {
+      const values = filteredData.map((r) => r[dataField.field]);
+      const aggregatedValue = aggregate(values, dataField.summaryType || "sum");
+      return {
+        field: dataField.field,
+        value: aggregatedValue,
+        formattedValue: formatNumber(aggregatedValue, dataField.format),
+      };
+    });
+
+    columnTotals.set(pathToKey(colPath), cellValues);
+  }
+
+  // 대총합
+  const grandValues: PivotCellValue[] = dataFields.map((dataField) => {
+    const values = data.map((r) => r[dataField.field]);
+    const aggregatedValue = aggregate(values, dataField.summaryType || "sum");
+    return {
+      field: dataField.field,
+      value: aggregatedValue,
+      formattedValue: formatNumber(aggregatedValue, dataField.format),
+    };
+  });
+
+  return {
+    row: rowTotals,
+    column: columnTotals,
+    grand: grandValues,
+  };
+}
+
+// ==================== 메인 함수 ====================
+
+/**
+ * 피벗 데이터 처리
+ */
+export function processPivotData(
+  data: Record<string, any>[],
+  fields: PivotFieldConfig[],
+  expandedRowPaths: string[][] = [],
+  expandedColumnPaths: string[][] = []
+): PivotResult {
+  // 영역별 필드 분리
+  const rowFields = fields
+    .filter((f) => f.area === "row" && f.visible !== false)
+    .sort((a, b) => (a.areaIndex || 0) - (b.areaIndex || 0));
+
+  const columnFields = fields
+    .filter((f) => f.area === "column" && f.visible !== false)
+    .sort((a, b) => (a.areaIndex || 0) - (b.areaIndex || 0));
+
+  const dataFields = fields
+    .filter((f) => f.area === "data" && f.visible !== false)
+    .sort((a, b) => (a.areaIndex || 0) - (b.areaIndex || 0));
+
+  const filterFields = fields.filter(
+    (f) => f.area === "filter" && f.visible !== false
+  );
+
+  // 필터 적용
+  let filteredData = data;
+  for (const filterField of filterFields) {
+    if (filterField.filterValues && filterField.filterValues.length > 0) {
+      filteredData = filteredData.filter((row) => {
+        const value = getFieldValue(row, filterField);
+        if (filterField.filterType === "exclude") {
+          return !filterField.filterValues!.includes(value);
+        }
+        return filterField.filterValues!.includes(value);
+      });
+    }
+  }
+
+  // 확장 경로 Set 변환
+  const expandedRowSet = new Set(expandedRowPaths.map(pathToKey));
+  const expandedColSet = new Set(expandedColumnPaths.map(pathToKey));
+
+  // 기본 확장: 첫 번째 레벨 모두 확장
+  if (expandedRowPaths.length === 0 && rowFields.length > 0) {
+    const firstField = rowFields[0];
+    const uniqueValues = new Set(
+      filteredData.map((row) => getFieldValue(row, firstField))
+    );
+    uniqueValues.forEach((val) => expandedRowSet.add(val));
+  }
+
+  if (expandedColumnPaths.length === 0 && columnFields.length > 0) {
+    const firstField = columnFields[0];
+    const uniqueValues = new Set(
+      filteredData.map((row) => getFieldValue(row, firstField))
+    );
+    uniqueValues.forEach((val) => expandedColSet.add(val));
+  }
+
+  // 헤더 트리 생성
+  const rowHeaders = buildHeaderTree(filteredData, rowFields, expandedRowSet);
+  const columnHeaders = buildHeaderTree(
+    filteredData,
+    columnFields,
+    expandedColSet
+  );
+
+  // 플랫 구조 변환
+  const flatRows = flattenRows(rowHeaders);
+  const flatColumnLeaves = getColumnLeaves(columnHeaders);
+  const maxColumnLevel = getMaxColumnLevel(columnHeaders, columnFields.length);
+  const flatColumns = flattenColumns(columnHeaders, maxColumnLevel);
+
+  // 데이터 매트릭스 생성
+  const dataMatrix = buildDataMatrix(
+    filteredData,
+    rowFields,
+    columnFields,
+    dataFields,
+    flatRows,
+    flatColumnLeaves
+  );
+
+  // 총합계 계산
+  const grandTotals = calculateGrandTotals(
+    filteredData,
+    rowFields,
+    columnFields,
+    dataFields,
+    flatRows,
+    flatColumnLeaves
+  );
+
+  return {
+    rowHeaders,
+    columnHeaders,
+    dataMatrix,
+    flatRows,
+    flatColumns: flatColumnLeaves.map((path, idx) => ({
+      path,
+      level: path.length - 1,
+      caption: path[path.length - 1] || "",
+      span: 1,
+    })),
+    grandTotals,
+  };
+}
+