Update app.R

app.R

@@ -4,175 +4,232 @@ library(dplyr)
 library(readr)
 library(DT)
 
+# ===== データ読み込み（複数のファイル名・エンコーディング対応） =====
+load_data <- function() {
+  # 優先順位で読み込みを試行するファイル名リスト
+  file_candidates <- c(
+    "名刺データサンプル.csv",
+    "EightData_s.csv",
+    "EightData.csv",
+    "meishi.csv",
+    "data.csv"
+  )
+  
+  encodings <- c("UTF-8", "Shift_JIS", "CP932")
+  
+  for (file_name in file_candidates) {
+    if (file.exists(file_name)) {
+      message(paste("📂 ファイル発見:", file_name))
+      
+      for (enc in encodings) {
+        tryCatch({
+          df <- read_csv(file_name, locale = locale(encoding = enc), show_col_types = FALSE)
+          message(paste("✅ 読み込み成功:", file_name, "エンコーディング:", enc))
+          return(df)
+        }, error = function(e) {
+          message(paste("❌", enc, "で失敗"))
+        })
+      }
+    }
+  }
+  
+  # ファイルが見つからない場合はサンプルデータを生成
+  message("⚠️ CSVファイルが見つかりません。サンプルデータを生成します...")
+  return(create_sample_data())
+}
+
+# サンプルデータ生成関数
+create_sample_data <- function() {
+  companies <- c("株式会社ABC", "株式会社XYZ", "テクノソリューションズ", "グローバル商事", "デジタルネットワーク")
+  departments <- c("営業部", "開発部", "マーケティング部", "人事部", "経理部")
+  positions <- c("部長", "課長", "係長", "主任", "担当")
+  last_names <- c("田中", "鈴木", "佐藤", "高橋", "山田", "伊藤", "渡辺", "中村", "小林", "加藤")
+  first_names <- c("太郎", "花子", "一郎", "二郎", "三郎", "さくら", "翔太", "美咲", "健太", "優子")
+  
+  n <- 20
+  
+  data.frame(
+    会社名 = sample(companies, n, replace = TRUE),
+    部署名 = sample(departments, n, replace = TRUE),
+    役職 = sample(positions, n, replace = TRUE),
+    姓 = sample(last_names, n, replace = TRUE),
+    名 = sample(first_names, n, replace = TRUE),
+    `e-mail` = paste0(tolower(sample(last_names, n, replace = TRUE)), "@example.com"),
+    郵便番号 = sprintf("%03d-%04d", sample(100:999, n, replace = TRUE), sample(1000:9999, n, replace = TRUE)),
+    住所 = paste0("東京都", sample(c("千代田区", "港区", "新宿区", "渋谷区", "中央区"), n, replace = TRUE)),
+    TEL会社 = sprintf("03-%04d-%04d", sample(1000:9999, n, replace = TRUE), sample(1000:9999, n, replace = TRUE)),
+    TEL部門 = NA_character_,
+    TEL直通 = NA_character_,
+    Fax = NA_character_,
+    携帯電話 = sprintf("090-%04d-%04d", sample(1000:9999, n, replace = TRUE), sample(1000:9999, n, replace = TRUE)),
+    URL = paste0("https://", tolower(sample(companies, n, replace = TRUE)), ".co.jp") |> gsub("株式会社", "", x = _),
+    名刺交換日 = format(Sys.Date() - sample(1:365, n, replace = TRUE), "%Y/%m/%d"),
+    stringsAsFactors = FALSE,
+    check.names = FALSE
+  )
+}
+
 # データ読み込み
-csv_path <- "名刺データサンプル.csv"
-df <- read_csv(csv_path, locale = locale(encoding = "UTF-8"))
+df <- load_data()
+
+# 列名の確認と調整
+expected_cols <- c("会社名", "部署名", "役職", "姓", "名", "e-mail", "郵便番号", "住所", 
+                   "TEL会社", "TEL部門", "TEL直通", "Fax", "携帯電話", "URL", "名刺交換日")
+
+# 存在する列だけ使用
+available_cols <- intersect(expected_cols, colnames(df))
 
-# UI の定義
+message(paste("📊 データ:", nrow(df), "行,", ncol(df), "列"))
+
+# ===== UI =====
 ui <- dashboardPage(
-  dashboardHeader(title = "📇 名刺データベース検索"),
+  skin = "blue",
+  dashboardHeader(title = "📇 名刺データベース"),
   dashboardSidebar(
     sidebarMenu(
-      menuItem("検索・閲覧", tabName = "search", icon = icon("search")),
-      menuItem("統計情報", tabName = "stats", icon = icon("chart-bar")),
-      menuItem("データ管理", tabName = "data_management", icon = icon("download"))
+      menuItem("🔍 検索・閲覧", tabName = "search", icon = icon("search")),
+      menuItem("📊 統計情報", tabName = "stats", icon = icon("bar-chart")),
+      menuItem("📥 データ管理", tabName = "download", icon = icon("download"))
     ),
     hr(),
-    # 検索フォーム
-    h4("🔍 検索条件"),
-    textInput("keyword", "キーワード検索", placeholder = "名前、メール、電話など"),
-    br(),
-    selectInput(
-      "company_filter", 
-      "会社名で絞り込み", 
-      choices = c("全て", sort(unique(df$会社名)))
-    ),
-    br(),
-    selectInput(
-      "department_filter",
-      "部署名で絞り込み",
-      choices = c("全て", sort(unique(df$部署名)))
-    ),
-    br(),
-    selectInput(
-      "position_filter",
-      "役職で絞り込み",
-      choices = c("全て", sort(unique(df$役職)))
-    ),
-    br(),
-    actionButton("search_btn", "🔎 検索を実行", class = "btn-primary btn-lg", width = "100%"),
-    br(), br(),
-    h5("検索結果: ", textOutput("result_count", inline = TRUE))
+    h4("検索条件", style = "padding-left: 15px;"),
+    textInput("keyword", "キーワード検索", placeholder = "名前、会社名、メールなど"),
+    selectInput("filter_company", "会社名で絞り込み", 
+                choices = c("すべて" = "", sort(unique(na.omit(df$会社名))))),
+    selectInput("filter_dept", "部署名で絞り込み", 
+                choices = c("すべて" = "", sort(unique(na.omit(df$部署名))))),
+    selectInput("filter_position", "役職で絞り込み", 
+                choices = c("すべて" = "", sort(unique(na.omit(df$役職))))),
+    actionButton("search_btn", "🔎 検索", class = "btn-primary btn-block"),
+    actionButton("reset_btn", "🔄 リセット", class = "btn-default btn-block"),
+    hr(),
+    h5(textOutput("result_count"), style = "padding-left: 15px; font-weight: bold;")
   ),
   dashboardBody(
+    tags$head(
+      tags$style(HTML("
+        .content-wrapper { background-color: #f4f6f9; }
+        .box { border-radius: 5px; }
+        .dataTables_filter { display: none; }
+      "))
+    ),
     tabItems(
-      # タブ1: 検索・閲覧
+      # 検索・閲覧タブ
       tabItem(
         tabName = "search",
         fluidRow(
           box(
-            title = "検索結果",
-            width = 12,
-            DTOutput("data_table"),
-            downloadButton("download_csv", "📥 CSVダウンロード")
+            title = "検索結果", width = 12, status = "primary", solidHeader = TRUE,
+            DT::dataTableOutput("data_table"),
+            br(),
+            downloadButton("download_csv", "📥 検索結果をCSVでダウンロード", class = "btn-success")
           )
         )
       ),
-      
-      # タブ2: 統計情報
+      # 統計情報タブ
       tabItem(
         tabName = "stats",
         fluidRow(
-          infoBox("全レコード数", nrow(df), icon = icon("database"), color = "blue"),
-          infoBox("登録企業数", length(unique(df$会社名)), icon = icon("building"), color = "green"),
-          infoBox("登録部署数", length(unique(df$部署名)), icon = icon("layer-group"), color = "yellow")
+          infoBox("総レコード数", nrow(df), icon = icon("database"), color = "blue", width = 4),
+          infoBox("企業数", length(unique(na.omit(df$会社名))), icon = icon("building"), color = "green", width = 4),
+          infoBox("部署数", length(unique(na.omit(df$部署名))), icon = icon("sitemap"), color = "purple", width = 4)
         ),
         fluidRow(
-          box(
-            title = "企業別レコード数",
-            width = 6,
-            tableOutput("company_stats")
-          ),
-          box(
-            title = "部署別レコード数",
-            width = 6,
-            tableOutput("department_stats")
-          )
+          box(title = "会社別レコード数 (Top 15)", width = 6, status = "info", solidHeader = TRUE,
+              tableOutput("company_stats")),
+          box(title = "部署別レコード数 (Top 15)", width = 6, status = "info", solidHeader = TRUE,
+              tableOutput("department_stats"))
         ),
         fluidRow(
-          box(
-            title = "役職別レコード数",
-            width = 6,
-            tableOutput("position_stats")
-          ),
-          box(
-            title = "名刺交換日の分布",
-            width = 6,
-            tableOutput("date_stats")
-          )
+          box(title = "役職別レコード数", width = 6, status = "warning", solidHeader = TRUE,
+              tableOutput("position_stats")),
+          box(title = "名刺交換日", width = 6, status = "warning", solidHeader = TRUE,
+              tableOutput("date_stats"))
         )
       ),
-      
-      # タブ3: データ管理
+      # データ管理タブ
       tabItem(
-        tabName = "data_management",
+        tabName = "download",
         fluidRow(
           box(
-            title = "全データエクスポート",
-            width = 12,
-            p("データベース全体をCSV形式でダウンロードできます"),
-            downloadButton("download_all_csv", "📥 全データをダウンロード"),
-            br(), br(),
-            h5("ダウンロード情報:"),
+            title = "データベース全体のダウンロード", width = 12, status = "success", solidHeader = TRUE,
+            p("現在のデータベース全体をCSV形式でダウンロードできます。"),
+            downloadButton("download_all_csv", "📥 全データをCSVでダウンロード", class = "btn-primary btn-lg"),
+            hr(),
+            h4("データベース情報"),
             p(paste("総レコード数:", nrow(df))),
-            p(paste("総列数:", ncol(df))),
-            p(paste("ファイル形式: CSV (UTF-8)")),
-            p(paste("最終更新:", format(Sys.time(), "%Y-%m-%d %H:%M:%S")))
+            p(paste("��ラム数:", ncol(df))),
+            p(paste("カラム:", paste(colnames(df), collapse = ", ")))
           )
         )
       )
     )
-  ),
-  # カスタムCSS
-  tags$head(
-    tags$style(HTML("
-      .btn-primary { background-color: #0275d8; }
-      .box { box-shadow: 0 1px 3px rgba(0,0,0,0.12), 0 1px 2px rgba(0,0,0,0.24); }
-      h4, h5 { color: #333; font-weight: bold; }
-    "))
   )
 )
 
-# Server ロジック
+# ===== Server =====
 server <- function(input, output, session) {
   
-  # 検索を実行する
-  filtered_data <- eventReactive(input$search_btn, {
+  # リアクティブ: フィルタリングされたデータ
+  filtered_data <- reactive({
     result <- df
     
-    # キーワード検索
-    if (input$keyword != "") {
+    # キーワード検索（複数列対象）
+    if (!is.null(input$keyword) && input$keyword != "") {
       keyword <- tolower(input$keyword)
-      search_cols <- c("会社名", "部署名", "役職", "姓", "名", "e-mail", "TEL会社", "TEL部門", "TEL直通", "携帯電話", "住所")
-      mask <- apply(
-        result[, search_cols],
-        1,
-        function(row) any(grepl(keyword, tolower(as.character(row)), ignore.case = TRUE))
-      )
-      result <- result[mask, ]
+      search_cols <- c("会社名", "部署名", "役職", "姓", "名", "e-mail", "住所")
+      search_cols <- intersect(search_cols, colnames(result))
+      
+      result <- result %>%
+        filter(
+          Reduce(`|`, lapply(search_cols, function(col) {
+            grepl(keyword, tolower(as.character(.data[[col]])), fixed = TRUE)
+          }))
+        )
     }
     
     # 会社名フィルタ
-    if (input$company_filter != "全て") {
-      result <- result %>% filter(会社名 == input$company_filter)
+    if (!is.null(input$filter_company) && input$filter_company != "") {
+      result <- result %>% filter(会社名 == input$filter_company)
     }
     
     # 部署名フィルタ
-    if (input$department_filter != "全て") {
-      result <- result %>% filter(部署名 == input$department_filter)
+    if (!is.null(input$filter_dept) && input$filter_dept != "") {
+      result <- result %>% filter(部署名 == input$filter_dept)
     }
     
     # 役職フィルタ
-    if (input$position_filter != "全て") {
-      result <- result %>% filter(役職 == input$position_filter)
+    if (!is.null(input$filter_position) && input$filter_position != "") {
+      result <- result %>% filter(役職 == input$filter_position)
     }
     
     result
   })
   
-  # 検索結果のテーブル表示
-  output$data_table <- renderDT({
-    datatable(
-      filtered_data(),
+  # リセットボタン
+  observeEvent(input$reset_btn, {
+    updateTextInput(session, "keyword", value = "")
+    updateSelectInput(session, "filter_company", selected = "")
+    updateSelectInput(session, "filter_dept", selected = "")
+    updateSelectInput(session, "filter_position", selected = "")
+  })
+  
+  # データテーブル表示
+  output$data_table <- DT::renderDataTable({
+    display_cols <- c("会社名", "部署名", "役職", "姓", "名", "e-mail", "携帯電話", "名刺交換日")
+    display_cols <- intersect(display_cols, colnames(filtered_data()))
+    
+    DT::datatable(
+      filtered_data()[, display_cols, drop = FALSE],
       options = list(
-        pageLength = 20,
+        pageLength = 15,
+        lengthMenu = c(10, 15, 25, 50, 100),
         scrollX = TRUE,
         language = list(
-          url = 'https://cdn.datatables.net/plug-ins/1.10.11/i18n/Japanese.json'
-        ),
-        columnDefs = list(
-          list(width = '100px', targets = 0:4),
-          list(width = '150px', targets = 5)
+          lengthMenu = "_MENU_ 件表示",
+          search = "テーブル内検索:",
+          info = "_TOTAL_ 件中 _START_ ～ _END_ 件を表示",
+          paginate = list(previous = "前へ", `next` = "次へ")
         )
       ),
       filter = "top",
@@ -182,7 +239,7 @@ server <- function(input, output, session) {
   
   # 検索結果の件数表示
   output$result_count <- renderText({
-    paste0(nrow(filtered_data()), " 件")
+    paste0("検索結果: ", nrow(filtered_data()), " 件")
   })
   
   # CSV ダウンロード（検索結果）
@@ -208,20 +265,25 @@ server <- function(input, output, session) {
   # 統計情報
   output$company_stats <- renderTable({
     df %>%
+      filter(!is.na(会社名)) %>%
       group_by(会社名) %>%
       summarise(件数 = n(), .groups = 'drop') %>%
-      arrange(desc(件数))
+      arrange(desc(件数)) %>%
+      head(15)
   })
   
   output$department_stats <- renderTable({
     df %>%
+      filter(!is.na(部署名)) %>%
       group_by(部署名) %>%
       summarise(件数 = n(), .groups = 'drop') %>%
-      arrange(desc(件数))
+      arrange(desc(件数)) %>%
+      head(15)
   })
   
   output$position_stats <- renderTable({
     df %>%
+      filter(!is.na(役職)) %>%
       group_by(役職) %>%
       summarise(件数 = n(), .groups = 'drop') %>%
       arrange(desc(件数))
@@ -229,11 +291,13 @@ server <- function(input, output, session) {
   
   output$date_stats <- renderTable({
     df %>%
+      filter(!is.na(名刺交換日)) %>%
       group_by(名刺交換日) %>%
       summarise(件数 = n(), .groups = 'drop') %>%
-      arrange(desc(名刺交換日))
+      arrange(desc(名刺交換日)) %>%
+      head(15)
   })
 }
 
 # アプリを起動
-shinyApp(ui, server)
+shinyApp(ui, server)