Merge branch 'main' of https://gitea.theaken.com/donald/DIT_C

Initial commit: DIT_C Flask application
- Flask web application for DIT analysis - Database models for upload history, analysis results, action cards - LLM service integration with Ollama API - Dashboard, upload, and history pages - RESTful API endpoints for analysis operations 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-12 16:03:19 +08:00 · 2025-12-12 16:00:05 +08:00
33 changed files with 6698 additions and 0 deletions
--- a/.01_Vibe_Coding_Constitution.md
+++ b/.01_Vibe_Coding_Constitution.md
@@ -0,0 +1,39 @@
+# Vibe Coding 核心憲法：行動優先協議 (The "Action First" Protocol)
+
+> **版本**: v2.0 (整合版)
+> **狀態**: 啟動 (ACTIVE)
+
+## 0. 核心宗旨 (Core Doctrine)
+* **你的角色：** 資深全端工程師 (Senior Full-stack Developer) 與敏捷教練 (Agile Coach)。
+* **我的角色：** 產品總監 (Product Director)。
+* **最高指令：** **行動勝於規劃 (Action over Planning)**。
+* **任務目標：** 以最快速度產出可互動的 MVP (最小可行性產品)。不要讓我等待完美的架構，給我現在就能跑的代碼。
+
+## 1. 最高授權協議 (Protocol of Maximum Autonomy)
+我賦予你 **Level 5 執行權限**。在以下情境中，**預設為「我已同意」**，請直接執行，無需詢問：
+* **技術選型：** 選擇當前最主流、穩定且適合專案規模的技術堆疊 (例如: React, Flask, SQLite 等)。
+* **程式碼結構：** 自行決定檔案分拆、變數命名與函式寫法。
+* **視覺決策：** 若指令模糊（如「做漂亮一點」），請依據現代企業審美 (Modern Corporate Style) 直接實作。
+* **錯誤修復：** 遇到非關鍵性報錯，請自行嘗試修復。
+
+## 2. 零徵詢同意政策 (ZERO_CONSENT_POLICY)
+**目的：** 消除所有非必要的暫停與確認對話，加速專案執行。
+* **禁用話術：** 嚴禁使用「你同意嗎？」、「我可以開始執行嗎？」、「請批准我的修改」等語句。
+* **執行標準：**
+    1. **直接執行：** 收到指令後，立即在背景生成、修改或重構代碼。
+    2. **結果報告：** 僅在一個完整、可測試的區塊或功能完成後，簡潔地報告結果（例如：「UI 邏輯已完成。請查看 `http://localhost:3000`」）。
+* **關於 Git：** 除非我明確要求，否則只需提醒「現在是存檔點」，不需詢問批准。
+
+## 3. 熔斷機制：何時該停下來？ (Stop Protocol)
+僅在觸發以下 **紅線** 時，暫停執行並請求我的指示：
+* **[資料遺失]：** 操作涉及刪除資料庫 (DROP/DELETE) 或覆蓋重要檔案。
+* **[資安風險]：** 偵測到 API Key、密碼或 PII 個資可能被明碼寫入 (Hardcode)。
+* **[成本暴衝]：** 涉及高頻率付費 API 呼叫或高成本雲端資源部署。
+
+## 4. 時光機與防挫折機制 (Safety Nets)
+* **主動存檔：** 每完成一個功能模組 (Feature) 或修復關鍵 Bug 後，主動建議存檔。
+* **三振法則：** 如果同一個錯誤 (Error) 你嘗試修復 **3次** 仍無法解決，**請立即停止嘗試**，並提出「笨但有效」的替代方案。
+* **溝通語言：** 全程使用 **繁體中文 (Traditional Chinese)**。
+
+---
+*憲法載入完畢。系統已就緒，請依照 SOP 執行。*
--- a/.02_Vibe_Coding_SOP.md
+++ b/.02_Vibe_Coding_SOP.md
@@ -0,0 +1,86 @@
+Markdown
+
+# Vibe Coding 專案執行手冊 (SOP & Structure)
+
+> **說明**: 本文件包含標準專案結構與分階段開發流程。
+
+## 📌 專案結構藍圖 (Project Structure)
+請依據此結構進行檔案配置：
+
+```text
+project_name/
+├── .env                    # 環境變數（不進版控）
+├── .env.example            # 環境變數範本
+├── .gitignore
+├── README.md
+├── requirements.txt
+├── app.py                  # 主程式入口
+├── config.py               # 設定檔
+├── preview.html            # UI 預覽 (先預覽，後實作)
+│
+├── docs/                   # 文件中心 (先文件，後開發)
+│   ├── SDD.md              # 系統設計文件
+│   ├── security_audit.md   # 資安檢視報告
+│   ├── user_command_log.md # 用戶指令記錄
+│   ├── CHANGELOG.md        # 版本變更紀錄
+│   └── API_DOC.md          # API 文件
+│
+├── models/                 # 資料庫模型
+├── routes/                 # 路由模組
+├── services/               # 商業邏輯
+├── utils/                  # 工具函式
+├── templates/              # HTML 模板
+└── static/                 # 靜態資源
+    ├── css/
+    ├── js/
+    └── images/
+
+
+📌 開發流程標準作業程序 (SOP)
+Phase 0: 專案初始化
+結構建立：依照上述藍圖建立資料夾與基礎檔案。
+
+環境變數：建立 .env，設定 DB 連線、LLM API Key 與 Flask 設定。
+
+依賴安裝：建立 requirements.txt 並安裝必要套件 (flask, sqlalchemy 等)。
+
+Git 設定：執行 git init 並建立 .gitignore。
+
+Phase 1: 資料庫架構
+Schema 設計：優先建立 users, llm_configs, system_logs 等核心表。
+
+文件化：建立 docs/db_schema.md 記錄結構。
+
+種子資料：寫入預設管理員帳號與預設配置。
+
+Phase 2: UI/UX 預覽 (關鍵檢核點)
+建立 preview.html：純前端頁面，不連接後端。
+
+確認事項：配色方案、版面配置、RWD 響應式。
+
+規則：必須等待使用者確認 UI 滿意後，才可進入後端實作。
+
+Phase 3: 核心程式開發
+主程式：設定 app.py 與 Blueprint 路由註冊。
+
+功能實作：依序開發 auth (認證), admin (後台), api (服務) 模組。
+
+防挫折：若遇錯 3 次即停止並尋求替代方案。
+
+Phase 4: 功能完善與優化
+管理者後台：實作使用者管理與 LLM API 設定測試。
+
+通用功能：實作全域錯誤視窗、CSV 匯入/匯出、清單排序。
+
+資安檢視：建立 docs/security_audit.md 並修復高風險項目 (SQL Injection, XSS)。
+
+Phase 5: 交付與部署
+文件更新：完善 SDD, CHANGELOG 與 README。
+
+最終檢查：確認 .env 未進版控，所有功能測試通過。
+
+Release：標記版本 tag 並推送到版控伺服器。
+
+--
+
+執行手冊已載入。請等待使用者指令開始 Phase 0。
--- a/.claude/settings.local.json
+++ b/.claude/settings.local.json
@@ -0,0 +1,22 @@
+{
+  "permissions": {
+    "allow": [
+      "Bash(curl:*)",
+      "Bash(git init:*)",
+      "Bash(git add:*)",
+      "Bash(git commit:*)",
+      "Bash(git branch:*)",
+      "Bash(git remote add:*)",
+      "Bash(git push:*)",
+      "Bash(python tests/test_dit_analyzer.py:*)",
+      "Bash(cat:*)",
+      "Bash(python -c:*)",
+      "Bash(python app.py:*)",
+      "Bash(netstat:*)",
+      "Bash(findstr:*)",
+      "Bash(timeout:*)",
+      "Bash(ping:*)",
+      "Bash(set FLASK_DEBUG=False)"
+    ]
+  }
+}
--- a/CCC.csv
+++ b/CCC.csv
--- a/改.xlsx
+++ b/改.xlsx
--- a/DIT_C/.env.example
+++ b/DIT_C/.env.example
@@ -0,0 +1,20 @@
+# Flask
+FLASK_SECRET_KEY=your-secret-key-change-in-production
+FLASK_DEBUG=True
+
+# Database (MySQL)
+DB_HOST=your-db-host
+DB_PORT=3306
+DB_NAME=your-db-name
+DB_USER=your-db-user
+DB_PASSWORD=your-db-password
+
+# Ollama API
+OLLAMA_API_URL=https://your-ollama-api-url
+OLLAMA_DEFAULT_MODEL=deepseek-reasoner
+OLLAMA_ALT_MODEL=deepseek-chat
+
+# Gitea
+GITEA_URL=https://your-gitea-url
+GITEA_USER=your-username
+GITEA_TOKEN=your-token
--- a/DIT_C/.gitignore
+++ b/DIT_C/.gitignore
@@ -0,0 +1,49 @@
+# Environment
+.env
+venv/
+env/
+.venv/
+
+# Python
+__pycache__/
+*.py[cod]
+*$py.class
+*.so
+.Python
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+
+# IDE
+.idea/
+.vscode/
+*.swp
+*.swo
+*~
+
+# OS
+.DS_Store
+Thumbs.db
+
+# Logs
+*.log
+logs/
+
+# Database
+*.db
+*.sqlite3
+
+# Uploads
+uploads/
--- a/DIT_C/README.md
+++ b/DIT_C/README.md
@@ -0,0 +1,96 @@
+# DIT 智能分析系統 (DIT_C)
+
+DIT (Design-In Tracking) Intelligent Analytics Module - 自動解析銷售 CSV 報表，產出行動建議卡片。
+
+## 功能特色
+
+- **Feature 6.2:** 高價值資源分配建議 - 識別高潛力但低勝率的應用領域
+- **Feature 6.3:** 呆滯案件警示 - 追蹤已承認但未轉單的案件
+- **LLM 整合:** 支援 Ollama API 進行智慧分析
+- **Web UI:** 現代化儀表板介面
+
+## 快速開始
+
+```bash
+# 安裝依賴
+pip install -r requirements.txt
+
+# 設定環境變數
+cp .env.example .env
+# 編輯 .env 填入正確的資料庫與 API 資訊
+
+# 啟動服務
+python app.py
+```
+
+服務啟動後訪問: http://localhost:5000
+
+## 主要端點
+
+| 端點 | 說明 |
+|------|------|
+| `/` | 儀表板 |
+| `/upload` | 上傳 CSV 分析 |
+| `/history` | 歷史記錄 |
+| `/health` | 健康檢查 |
+| `/api/analyze` | API 分析端點 |
+
+## 專案結構
+
+```
+DIT_C/
+├── app.py                  # 主程式入口
+├── config.py               # 設定檔
+├── preview.html            # UI 預覽
+├── docs/                   # 文件
+│   ├── API_DOC.md          # API 文件
+│   ├── SDD.md              # 系統設計文件
+│   ├── security_audit.md   # 資安檢視報告
+│   └── CHANGELOG.md        # 版本變更
+├── models/                 # 資料庫模型
+│   └── dit_models.py
+├── routes/                 # 路由模組
+│   ├── api.py              # API 路由
+│   └── main.py             # 頁面路由
+├── services/               # 商業邏輯
+│   ├── dit_analyzer.py     # DIT 分析器
+│   └── llm_service.py      # LLM 服務
+├── templates/              # HTML 模板
+│   ├── base.html
+│   ├── dashboard.html
+│   ├── upload.html
+│   └── history.html
+├── tests/                  # 測試
+│   └── test_dit_analyzer.py
+└── static/                 # 靜態資源
+```
+
+## API 使用範例
+
+```python
+import requests
+
+# 上傳 CSV 分析
+with open('DIT_report.csv', 'rb') as f:
+    response = requests.post(
+        'http://localhost:5000/api/analyze',
+        files={'file': f},
+        data={
+            'top_percent': 0.2,
+            'low_win_rate': 0.1,
+            'threshold_days': 60
+        }
+    )
+    print(response.json())
+```
+
+## 文件
+
+- [API 文件](docs/API_DOC.md)
+- [系統設計文件](docs/SDD.md)
+- [資安檢視報告](docs/security_audit.md)
+- [版本變更](docs/CHANGELOG.md)
+
+## License
+
+MIT
--- a/DIT_C/app.py
+++ b/DIT_C/app.py
@@ -0,0 +1,55 @@
+"""
+DIT_C 主程式入口
+"""
+
+from flask import Flask, jsonify
+from config import Config
+from models import db
+
+
+def create_app(config_class=Config):
+    """應用程式工廠"""
+    app = Flask(__name__)
+    app.config.from_object(config_class)
+
+    # 初始化擴展
+    db.init_app(app)
+
+    # 建立資料表
+    with app.app_context():
+        from models.dit_models import DITUploadHistory, DITAnalysisResult, DITActionCard, DITSystemLog, DITLLMConfig
+        db.create_all()
+
+    # 註冊 Blueprint
+    from routes.api import api_bp
+    from routes.main import main_bp
+    app.register_blueprint(api_bp)
+    app.register_blueprint(main_bp)
+
+    # 健康檢查端點
+    @app.route('/health')
+    def health_check():
+        return jsonify({"status": "ok", "message": "DIT_C is running"})
+
+    # 測試 LLM 連線
+    @app.route('/test-llm')
+    def test_llm():
+        from services.llm_service import llm_service, LLMServiceError
+        try:
+            models = llm_service.get_available_models()
+            return jsonify({
+                "status": "ok",
+                "available_models": models,
+                "default_model": Config.OLLAMA_DEFAULT_MODEL
+            })
+        except LLMServiceError as e:
+            return jsonify({"status": "error", "message": str(e)}), 500
+
+    return app
+
+
+if __name__ == '__main__':
+    import sys
+    port = int(sys.argv[1]) if len(sys.argv) > 1 else 5000
+    app = create_app()
+    app.run(host='0.0.0.0', port=port, debug=Config.DEBUG)
--- a/DIT_C/config.py
+++ b/DIT_C/config.py
@@ -0,0 +1,38 @@
+import os
+from dotenv import load_dotenv
+
+load_dotenv()
+
+
+class Config:
+    """應用程式設定"""
+
+    # Flask
+    SECRET_KEY = os.getenv('FLASK_SECRET_KEY', 'dev-secret-key')
+    DEBUG = os.getenv('FLASK_DEBUG', 'False').lower() == 'true'
+
+    # Database (MySQL)
+    DB_HOST = os.getenv('DB_HOST', 'localhost')
+    DB_PORT = int(os.getenv('DB_PORT', 3306))
+    DB_NAME = os.getenv('DB_NAME', 'database')
+    DB_USER = os.getenv('DB_USER', 'root')
+    DB_PASSWORD = os.getenv('DB_PASSWORD', '')
+
+    # SQLAlchemy 連線字串
+    SQLALCHEMY_DATABASE_URI = (
+        f"mysql+pymysql://{DB_USER}:{DB_PASSWORD}@{DB_HOST}:{DB_PORT}/{DB_NAME}"
+    )
+    SQLALCHEMY_TRACK_MODIFICATIONS = False
+
+    # Table 前綴
+    TABLE_PREFIX = 'DIT_C_'
+
+    # Ollama API
+    OLLAMA_API_URL = os.getenv('OLLAMA_API_URL', 'https://ollama_pjapi.theaken.com')
+    OLLAMA_DEFAULT_MODEL = os.getenv('OLLAMA_DEFAULT_MODEL', 'deepseek-reasoner')
+    OLLAMA_ALT_MODEL = os.getenv('OLLAMA_ALT_MODEL', 'deepseek-chat')
+
+    # Gitea
+    GITEA_URL = os.getenv('GITEA_URL', '')
+    GITEA_USER = os.getenv('GITEA_USER', '')
+    GITEA_TOKEN = os.getenv('GITEA_TOKEN', '')
--- a/DIT_C/docs/API_DOC.md
+++ b/DIT_C/docs/API_DOC.md
@@ -0,0 +1,235 @@
+# DIT 智能分析系統 API 文件
+
+## Base URL
+```
+http://localhost:5000
+```
+
+---
+
+## 1. 健康檢查
+
+### GET /health
+檢查服務是否正常運行
+
+**Response:**
+```json
+{
+  "status": "ok",
+  "message": "DIT_C is running"
+}
+```
+
+---
+
+## 2. 分析 API
+
+### POST /api/analyze
+上傳 CSV 或 XLSX 並執行完整分析
+
+**Content-Type:** `multipart/form-data`
+
+**Parameters:**
+| 參數 | 類型 | 必填 | 預設 | 說明 |
+|------|------|------|------|------|
+| file | File | Yes | - | CSV 或 XLSX 檔案 |
+| top_percent | Float | No | 0.2 | 金額 Top 百分比 (0-1) |
+| low_win_rate | Float | No | 0.1 | 低勝率門檻 (0-1) |
+| threshold_days | Int | No | 60 | 呆滯天數門檻 |
+| skip_rows | Int | No | 16 | 跳過前幾列 (資料從第 17 列開始) |
+| start_col | Int | No | 1 | 起始欄位索引 (1=B 欄) |
+
+**Response:**
+```json
+{
+  "status": "success",
+  "data": {
+    "generated_at": "2024-12-12T12:00:00",
+    "summary": {
+      "total_records": 100,
+      "total_value": "$4,350,000",
+      "total_value_raw": 4350000,
+      "active_count": 70,
+      "lost_count": 30,
+      "win_rate": "70.0%",
+      "stage_distribution": {...},
+      "top_applications": {...}
+    },
+    "action_cards": {
+      "resource_allocation": [...],
+      "stagnant_deals": [...]
+    },
+    "total_alerts": 5
+  }
+}
+```
+
+---
+
+### POST /api/analyze/resource-allocation
+僅執行 Feature 6.2 高價值資源分配分析
+
+**Content-Type:** `multipart/form-data`
+
+**Parameters:**
+| 參數 | 類型 | 必填 | 預設 | 說明 |
+|------|------|------|------|------|
+| file | File | Yes | - | CSV 或 XLSX 檔案 |
+| top_percent | Float | No | 0.2 | 金額 Top 百分比 |
+| low_win_rate | Float | No | 0.1 | 低勝率門檻 |
+| skip_rows | Int | No | 16 | 跳過前幾列 |
+| start_col | Int | No | 1 | 起始欄位索引 (1=B 欄) |
+
+**Response:**
+```json
+{
+  "status": "success",
+  "data": {
+    "type": "resource_allocation",
+    "count": 3,
+    "action_cards": [
+      {
+        "type": "resource_allocation",
+        "title": "高潛力市場攻堅提醒",
+        "application": "Automotive",
+        "money": "$1,200,000",
+        "money_raw": 1200000,
+        "win_rate": "8.5",
+        "win_rate_raw": 0.085,
+        "top_accounts": ["客戶A", "客戶B"],
+        "suggestion": "..."
+      }
+    ]
+  }
+}
+```
+
+---
+
+### POST /api/analyze/stagnant-deals
+僅執行 Feature 6.3 呆滯案件警示
+
+**Content-Type:** `multipart/form-data`
+
+**Parameters:**
+| 參數 | 類型 | 必填 | 預設 | 說明 |
+|------|------|------|------|------|
+| file | File | Yes | - | CSV 或 XLSX 檔案 |
+| threshold_days | Int | No | 60 | 呆滯天數門檻 |
+| skip_rows | Int | No | 16 | 跳過前幾列 |
+| start_col | Int | No | 1 | 起始欄位索引 (1=B 欄) |
+
+**Response:**
+```json
+{
+  "status": "success",
+  "data": {
+    "type": "stagnant_deals",
+    "count": 2,
+    "action_cards": [
+      {
+        "type": "stagnant_deal",
+        "title": "呆滯案件喚醒",
+        "account": "台積電",
+        "project": "Project Alpha",
+        "approved_date": "2024-09-15",
+        "days_pending": 88,
+        "months_pending": 2,
+        "suggestion": "..."
+      }
+    ]
+  }
+}
+```
+
+---
+
+### POST /api/action-card/{card_id}/resolve
+標記 Action Card 為已處理
+
+**Response:**
+```json
+{
+  "status": "success"
+}
+```
+
+---
+
+## 3. LLM API
+
+### GET /api/llm/models
+取得可用 LLM 模型列表
+
+**Response:**
+```json
+{
+  "status": "success",
+  "data": ["qwen2.5:3b", "llama3.2:latest"]
+}
+```
+
+---
+
+### POST /api/llm/chat
+LLM 聊天 API
+
+**Content-Type:** `application/json`
+
+**Body:**
+```json
+{
+  "prompt": "Hello, how are you?",
+  "system_prompt": "You are a helpful assistant."
+}
+```
+
+**Response:**
+```json
+{
+  "status": "success",
+  "data": {
+    "response": "I'm doing well, thank you for asking!"
+  }
+}
+```
+
+---
+
+## 4. 錯誤回應
+
+所有 API 錯誤回應格式：
+```json
+{
+  "error": "錯誤訊息",
+  "code": "ERROR_CODE"
+}
+```
+
+**錯誤代碼:**
+| Code | HTTP Status | 說明 |
+|------|-------------|------|
+| NO_FILE | 400 | 未上傳檔案 |
+| NO_FILENAME | 400 | 未選擇檔案 |
+| INVALID_TYPE | 400 | 檔案類型不支援 |
+| ANALYZER_ERROR | 400 | 分析器錯誤 |
+| INTERNAL_ERROR | 500 | 內部錯誤 |
+
+---
+
+## 5. 檔案格式
+
+支援 CSV 和 XLSX (Excel) 格式。預設從 B17 儲存格開始讀取資料。
+
+必要欄位：
+| 欄位名稱 | 型態 | 必填 | 說明 |
+|---------|------|------|------|
+| Created Date | Date | Yes | 立案日期 |
+| Account Name | String | Yes | 客戶名稱 |
+| Stage | String | Yes | 專案階段 |
+| Application | String | No | 應用領域 |
+| Application Detail | String | No | 應用細節 |
+| Opportunity Name | String | Yes | 專案名稱 |
+| Total Price | Float | Yes | 預估總金額 |
+| Approved date | Date | No | 技術承認日期 |
+| Lost Type | String | No | 敗因 |
--- a/DIT_C/docs/CHANGELOG.md
+++ b/DIT_C/docs/CHANGELOG.md
@@ -0,0 +1,51 @@
+# Changelog
+
+All notable changes to this project will be documented in this file.
+
+## [1.0.0] - 2024-12-12
+
+### Added
+- **Phase 0: 專案初始化**
+  - 建立專案結構
+  - 環境變數設定 (.env)
+  - Git + Gitea 版控設定
+  - LLM Service 整合 (Ollama API)
+
+- **DITAnalyzer 核心模組**
+  - 資料預處理 (欄位清洗、日期轉換、應用領域推導)
+  - Feature 6.2: 高價值資源分配分析
+  - Feature 6.3: 呆滯案件警示
+  - 完整報告生成
+
+- **API 端點**
+  - POST /api/analyze - 完整分析
+  - POST /api/analyze/resource-allocation - Feature 6.2
+  - POST /api/analyze/stagnant-deals - Feature 6.3
+  - POST /api/action-card/{id}/resolve - 標記已處理
+  - GET /api/llm/models - LLM 模型列表
+  - POST /api/llm/chat - LLM 聊天
+
+- **前端頁面**
+  - Dashboard (儀表板)
+  - Upload (上傳分析)
+  - History (歷史記錄)
+  - preview.html (UI 預覽)
+
+- **資料庫模型**
+  - DIT_C_upload_history
+  - DIT_C_analysis_result
+  - DIT_C_action_card
+  - DIT_C_system_log
+  - DIT_C_llm_config
+
+- **文件**
+  - API_DOC.md
+  - SDD.md
+  - security_audit.md
+  - CHANGELOG.md
+
+### Security
+- SQL Injection 防護 (SQLAlchemy ORM)
+- XSS 防護 (Jinja2 自動轉義)
+- 檔案上傳驗證 (限制 CSV)
+- 敏感資訊保護 (.env 不進版控)
--- a/DIT_C/docs/SDD.md
+++ b/DIT_C/docs/SDD.md
@@ -0,0 +1,247 @@
+# DIT 智能分析系統 - 系統設計文件 (SDD)
+
+**版本:** v1.2
+**日期:** 2025-12-12
+**狀態:** 已實作並測試通過
+
+---
+
+## 1. 系統概述
+
+### 1.1 專案名稱
+DIT (Design-In Tracking) Intelligent Analytics Module
+
+### 1.2 目標
+解析 DIT CSV 報表，透過規則引擎自動產出「行動建議卡片 (Action Cards)」
+
+### 1.3 技術堆疊
+- **Backend:** Python 3.9+, Flask 3.0+
+- **Database:** MySQL (SQLAlchemy ORM)
+- **Frontend:** Jinja2 Templates, Vanilla JS
+- **LLM Integration:** Ollama API (deepseek-reasoner)
+- **Version Control:** Git + Gitea
+- **Server Port:** 9000 (預設)
+
+### 1.4 支援檔案格式
+- CSV (.csv) - 預設從 B17 儲存格開始讀取
+- Excel (.xlsx) - 使用 openpyxl 引擎
+
+---
+
+## 2. 系統架構
+
+```
+┌─────────────────────────────────────────────────────────┐
+│                      Frontend                           │
+│  ┌─────────────┐  ┌─────────────┐  ┌─────────────┐     │
+│  │  Dashboard  │  │   Upload    │  │   History   │     │
+│  └──────┬──────┘  └──────┬──────┘  └──────┬──────┘     │
+└─────────┼────────────────┼────────────────┼─────────────┘
+          │                │                │
+          ▼                ▼                ▼
+┌─────────────────────────────────────────────────────────┐
+│                    Flask App (app.py)                   │
+│  ┌─────────────┐  ┌─────────────┐  ┌─────────────┐     │
+│  │  routes/    │  │  services/  │  │   models/   │     │
+│  │  - api.py   │  │  - dit_*.py │  │  - dit_*.py │     │
+│  │  - main.py  │  │  - llm_*.py │  │             │     │
+│  └──────┬──────┘  └──────┬──────┘  └──────┬──────┘     │
+└─────────┼────────────────┼────────────────┼─────────────┘
+          │                │                │
+          ▼                ▼                ▼
+┌─────────────────────────────────────────────────────────┐
+│                   External Services                      │
+│  ┌─────────────┐  ┌─────────────┐                       │
+│  │   MySQL     │  │ Ollama API  │                       │
+│  │  (db_A102)  │  │(deepseek-   │                       │
+│  │             │  │ reasoner)   │                       │
+│  └─────────────┘  └─────────────┘                       │
+└─────────────────────────────────────────────────────────┘
+```
+
+---
+
+## 3. 核心模組
+
+### 3.1 DITAnalyzer (services/dit_analyzer.py)
+
+主要分析引擎，負責：
+1. 資料載入 (CSV/XLSX)
+2. 資料預處理
+3. Feature 6.2: 高價值資源分配分析
+4. Feature 6.3: 呆滯案件警示
+5. 報告生成
+
+```python
+class DITAnalyzer:
+    def __init__(self, file_path, dataframe, skip_rows=16, start_col=1)
+    def load_data(file_path, skip_rows, start_col)
+    def _load_excel(file_path, skip_rows, start_col)  # 新增
+    def _load_csv(file_path, skip_rows, start_col)    # 新增
+    def _preprocess(self)
+    def analyze_resource_allocation(top_percent, low_win_rate)
+    def analyze_stagnant_deals(threshold_days)
+    def generate_report()
+```
+
+**資料載入參數:**
+- `skip_rows`: 跳過前幾列 (預設 16，即從第 17 列開始)
+- `start_col`: 起始欄位索引 (預設 1，即 B 欄)
+
+### 3.2 LLMService (services/llm_service.py)
+
+Ollama API 封裝：
+- 模型列表查詢
+- 一般聊天請求
+- 串流模式支援
+- SSL 憑證驗證已停用 (內部 API)
+
+**預設模型:** deepseek-reasoner
+**備用模型:** deepseek-chat
+
+### 3.3 資料模型 (models/dit_models.py)
+
+| Table | 說明 |
+|-------|------|
+| DIT_C_upload_history | 上傳歷史記錄 |
+| DIT_C_analysis_result | 分析結果 |
+| DIT_C_action_card | 行動建議卡片 |
+| DIT_C_system_log | 系統日誌 |
+| DIT_C_llm_config | LLM 設定 |
+
+---
+
+## 4. 資料流程
+
+### 4.1 CSV 上傳分析流程
+
+```
+User Upload CSV/XLSX
+      │
+      ▼
+┌─────────────────┐
+│ File Validation │ (check .csv/.xlsx extension)
+└────────┬────────┘
+         │
+         ▼
+┌─────────────────┐
+│ Save to uploads/│
+└────────┬────────┘
+         │
+         ▼
+┌─────────────────┐
+│  DITAnalyzer    │
+│  - preprocess   │
+│  - analyze      │
+└────────┬────────┘
+         │
+         ▼
+┌─────────────────┐
+│ Save to DB      │
+│ - upload_history│
+│ - analysis_result│
+└────────┬────────┘
+         │
+         ▼
+┌─────────────────┐
+│ Delete temp file│
+└────────┬────────┘
+         │
+         ▼
+   Return JSON
+```
+
+---
+
+## 5. API 端點
+
+| Method | Path | 說明 |
+|--------|------|------|
+| GET | /health | 健康檢查 |
+| GET | / | 儀表板 |
+| GET | /upload | 上傳頁面 |
+| GET | /history | 歷史記錄 |
+| POST | /api/analyze | 完整分析 |
+| POST | /api/analyze/resource-allocation | Feature 6.2 |
+| POST | /api/analyze/stagnant-deals | Feature 6.3 |
+| POST | /api/action-card/{id}/resolve | 標記已處理 |
+| GET | /api/llm/models | LLM 模型列表 |
+| POST | /api/llm/chat | LLM 聊天 |
+
+---
+
+## 6. 配置
+
+### 6.1 環境變數 (.env)
+
+```env
+# Flask
+FLASK_SECRET_KEY=xxx
+FLASK_DEBUG=True
+
+# Database
+DB_HOST=mysql.theaken.com
+DB_PORT=33306
+DB_NAME=db_A102
+DB_USER=A102
+DB_PASSWORD=xxx
+
+# Ollama
+OLLAMA_API_URL=https://ollama_pjapi.theaken.com
+OLLAMA_DEFAULT_MODEL=deepseek-reasoner
+OLLAMA_ALT_MODEL=deepseek-chat
+```
+
+### 6.2 Table 命名規則
+所有資料表以 `DIT_C_` 為前綴
+
+---
+
+## 7. 部署
+
+### 7.1 本地開發
+```bash
+pip install -r requirements.txt
+python app.py 9000
+```
+
+**存取 URL:** http://127.0.0.1:9000/
+
+**注意:** Port 5000/5001/8080 可能被其他服務占用，建議使用 9000
+
+### 7.2 Production
+- 使用 Gunicorn + Nginx
+- 環境變數設定 `FLASK_DEBUG=False`
+- 啟用 HTTPS
+
+---
+
+## 8. 版本歷史
+
+| 版本 | 日期 | 變更 |
+|------|------|------|
+| v1.0 | 2024-12-12 | 初始版本 |
+| v1.1 | 2025-12-12 | LLM 模型更換為 deepseek-reasoner |
+| v1.2 | 2025-12-12 | 新增 XLSX 檔案支援、修復 CSV 載入邏輯、SSL 憑證問題修復 |
+
+---
+
+## 9. 測試結果
+
+### 9.1 功能測試 (2025-12-12)
+
+| 測試項目 | 狀態 | 說明 |
+|---------|------|------|
+| Health Check | ✅ PASS | `/health` 端點正常 |
+| Dashboard Page | ✅ PASS | 儀表板頁面載入正常 |
+| Upload Page | ✅ PASS | 上傳頁面載入正常 |
+| History Page | ✅ PASS | 歷史記錄頁面正常 |
+| LLM Connection | ✅ PASS | deepseek-reasoner 連線正常 |
+| CSV Analysis | ✅ PASS | CSV 分析功能正常 |
+| XLSX Support | ✅ PASS | Excel 檔案支援正常 |
+
+### 9.2 可用 LLM 模型
+
+- deepseek-reasoner (預設)
+- deepseek-chat (備用)
+- gpt-oss:120b
--- a/DIT_C/docs/security_audit.md
+++ b/DIT_C/docs/security_audit.md
@@ -0,0 +1,125 @@
+# DIT 智能分析系統 - 資安檢視報告
+
+**版本:** v1.0
+**日期:** 2024-12-12
+**狀態:** 已審視
+
+---
+
+## 1. 安全措施總覽
+
+| 項目 | 狀態 | 說明 |
+|------|------|------|
+| SQL Injection | ✅ 已防護 | 使用 SQLAlchemy ORM |
+| XSS | ✅ 已防護 | Jinja2 自動轉義 |
+| CSRF | ⚠️ 待加強 | 建議加入 Flask-WTF |
+| 檔案上傳驗證 | ✅ 已防護 | 限制 CSV 格式 |
+| 敏感資訊 | ✅ 已防護 | .env 不進版控 |
+
+---
+
+## 2. 詳細檢視
+
+### 2.1 SQL Injection 防護
+- **風險等級:** 低
+- **防護措施:**
+  - 使用 SQLAlchemy ORM，所有查詢自動參數化
+  - 無直接 SQL 字串拼接
+
+```python
+# 安全寫法 (已實作)
+DITUploadHistory.query.filter_by(id=upload_id).first()
+
+# 危險寫法 (未使用)
+# db.execute(f"SELECT * FROM uploads WHERE id = {upload_id}")
+```
+
+### 2.2 XSS 防護
+- **風險等級:** 低
+- **防護措施:**
+  - Jinja2 模板引擎自動 HTML 轉義
+  - 使用者輸入不直接渲染 raw HTML
+
+### 2.3 檔案上傳安全
+- **風險等級:** 中
+- **防護措施:**
+  - 使用 `werkzeug.utils.secure_filename()` 清理檔名
+  - 限制副檔名為 `.csv`
+  - 上傳檔案分析後立即刪除
+
+```python
+# 已實作
+filename = secure_filename(file.filename)
+if not allowed_file(file.filename):
+    return jsonify({"error": "僅支援 CSV 檔案"})
+```
+
+### 2.4 敏感資訊管理
+- **風險等級:** 低
+- **防護措施:**
+  - 資料庫密碼、API Key 存放於 `.env`
+  - `.env` 已加入 `.gitignore`
+  - 提供 `.env.example` 範本
+
+### 2.5 API 安全
+- **風險等級:** 中
+- **待加強:**
+  - 目前無 API 認證機制
+  - 建議後續加入 JWT 或 API Key 驗證
+
+---
+
+## 3. 建議事項
+
+### 高優先
+1. **加入 CSRF 保護**
+   ```python
+   from flask_wtf.csrf import CSRFProtect
+   csrf = CSRFProtect(app)
+   ```
+
+2. **加入 API 認證**
+   - 建議使用 Flask-JWT-Extended
+
+### 中優先
+3. **Rate Limiting**
+   - 防止 API 濫用
+   - 建議使用 Flask-Limiter
+
+4. **日誌記錄**
+   - 記錄所有 API 呼叫
+   - 已建立 `DITSystemLog` 資料表
+
+### 低優先
+5. **HTTPS 強制**
+   - 部署時使用 HTTPS
+   - 設定 HSTS Header
+
+---
+
+## 4. OWASP Top 10 檢查清單
+
+| # | 風險 | 狀態 | 備註 |
+|---|------|------|------|
+| A01 | Broken Access Control | ⚠️ | 無認證機制 |
+| A02 | Cryptographic Failures | ✅ | 密碼儲存於環境變數 |
+| A03 | Injection | ✅ | ORM 防護 |
+| A04 | Insecure Design | ✅ | - |
+| A05 | Security Misconfiguration | ✅ | - |
+| A06 | Vulnerable Components | ✅ | 使用主流套件 |
+| A07 | Auth Failures | ⚠️ | 無認證機制 |
+| A08 | Data Integrity Failures | ✅ | - |
+| A09 | Logging Failures | ⚠️ | 待完善日誌 |
+| A10 | SSRF | ✅ | 無外部請求風險 |
+
+---
+
+## 5. 結論
+
+系統基礎安全防護已到位，建議在正式部署前：
+1. 加入 API 認證機制
+2. 啟用 CSRF 保護
+3. 完善系統日誌記錄
+
+**審視人員:** Claude AI
+**審視日期:** 2024-12-12
--- a/DIT_C/models/init.py
+++ b/DIT_C/models/init.py
@@ -0,0 +1,3 @@
+from flask_sqlalchemy import SQLAlchemy
+
+db = SQLAlchemy()
--- a/DIT_C/models/dit_models.py
+++ b/DIT_C/models/dit_models.py
@@ -0,0 +1,100 @@
+"""
+DIT 資料庫模型
+Table 前綴: DIT_C_
+"""
+
+from datetime import datetime
+from models import db
+from config import Config
+
+
+class DITUploadHistory(db.Model):
+    """上傳歷史記錄"""
+    __tablename__ = f'{Config.TABLE_PREFIX}upload_history'
+
+    id = db.Column(db.Integer, primary_key=True)
+    filename = db.Column(db.String(255), nullable=False)
+    file_size = db.Column(db.Integer)
+    record_count = db.Column(db.Integer)
+    total_value = db.Column(db.Float)
+    uploaded_at = db.Column(db.DateTime, default=datetime.utcnow)
+    uploaded_by = db.Column(db.String(100))
+    status = db.Column(db.String(50), default='completed')
+
+    # 關聯
+    analysis_results = db.relationship('DITAnalysisResult', backref='upload', lazy=True)
+
+
+class DITAnalysisResult(db.Model):
+    """分析結果記錄"""
+    __tablename__ = f'{Config.TABLE_PREFIX}analysis_result'
+
+    id = db.Column(db.Integer, primary_key=True)
+    upload_id = db.Column(db.Integer, db.ForeignKey(f'{Config.TABLE_PREFIX}upload_history.id'))
+    analysis_type = db.Column(db.String(50), nullable=False)  # resource_allocation / stagnant_deal
+    created_at = db.Column(db.DateTime, default=datetime.utcnow)
+
+    # 統計摘要
+    total_records = db.Column(db.Integer)
+    total_value = db.Column(db.Float)
+    active_count = db.Column(db.Integer)
+    lost_count = db.Column(db.Integer)
+    win_rate = db.Column(db.Float)
+
+    # JSON 存儲完整結果
+    result_json = db.Column(db.Text)
+
+
+class DITActionCard(db.Model):
+    """行動建議卡片"""
+    __tablename__ = f'{Config.TABLE_PREFIX}action_card'
+
+    id = db.Column(db.Integer, primary_key=True)
+    result_id = db.Column(db.Integer, db.ForeignKey(f'{Config.TABLE_PREFIX}analysis_result.id'))
+    card_type = db.Column(db.String(50), nullable=False)  # resource_allocation / stagnant_deal
+    title = db.Column(db.String(255))
+    created_at = db.Column(db.DateTime, default=datetime.utcnow)
+
+    # 共用欄位
+    suggestion = db.Column(db.Text)
+    is_resolved = db.Column(db.Boolean, default=False)
+    resolved_at = db.Column(db.DateTime)
+    resolved_by = db.Column(db.String(100))
+
+    # Feature 6.2 欄位
+    application = db.Column(db.String(255))
+    potential_value = db.Column(db.Float)
+    win_rate = db.Column(db.Float)
+    top_accounts = db.Column(db.Text)  # JSON array
+
+    # Feature 6.3 欄位
+    account_name = db.Column(db.String(255))
+    project_name = db.Column(db.String(255))
+    approved_date = db.Column(db.Date)
+    days_pending = db.Column(db.Integer)
+
+
+class DITSystemLog(db.Model):
+    """系統日誌"""
+    __tablename__ = f'{Config.TABLE_PREFIX}system_log'
+
+    id = db.Column(db.Integer, primary_key=True)
+    timestamp = db.Column(db.DateTime, default=datetime.utcnow)
+    level = db.Column(db.String(20))  # INFO / WARNING / ERROR
+    module = db.Column(db.String(100))
+    message = db.Column(db.Text)
+    user = db.Column(db.String(100))
+    ip_address = db.Column(db.String(50))
+
+
+class DITLLMConfig(db.Model):
+    """LLM API 設定"""
+    __tablename__ = f'{Config.TABLE_PREFIX}llm_config'
+
+    id = db.Column(db.Integer, primary_key=True)
+    name = db.Column(db.String(100), nullable=False)
+    api_url = db.Column(db.String(500))
+    model_name = db.Column(db.String(100))
+    is_active = db.Column(db.Boolean, default=True)
+    created_at = db.Column(db.DateTime, default=datetime.utcnow)
+    updated_at = db.Column(db.DateTime, default=datetime.utcnow, onupdate=datetime.utcnow)
--- a/DIT_C/preview.html
+++ b/DIT_C/preview.html
@@ -0,0 +1,879 @@
+<!DOCTYPE html>
+<html lang="zh-TW">
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+    <title>DIT 智能分析系統 - UI Preview</title>
+    <style>
+        * {
+            margin: 0;
+            padding: 0;
+            box-sizing: border-box;
+        }
+
+        :root {
+            --primary: #2563eb;
+            --primary-dark: #1d4ed8;
+            --success: #10b981;
+            --warning: #f59e0b;
+            --danger: #ef4444;
+            --gray-50: #f9fafb;
+            --gray-100: #f3f4f6;
+            --gray-200: #e5e7eb;
+            --gray-300: #d1d5db;
+            --gray-500: #6b7280;
+            --gray-700: #374151;
+            --gray-900: #111827;
+        }
+
+        body {
+            font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, 'Helvetica Neue', Arial, sans-serif;
+            background-color: var(--gray-50);
+            color: var(--gray-900);
+            line-height: 1.6;
+        }
+
+        /* Header */
+        .header {
+            background: linear-gradient(135deg, var(--primary) 0%, var(--primary-dark) 100%);
+            color: white;
+            padding: 1rem 2rem;
+            box-shadow: 0 2px 4px rgba(0,0,0,0.1);
+        }
+
+        .header-content {
+            max-width: 1400px;
+            margin: 0 auto;
+            display: flex;
+            justify-content: space-between;
+            align-items: center;
+        }
+
+        .logo {
+            font-size: 1.5rem;
+            font-weight: 700;
+        }
+
+        .logo span {
+            opacity: 0.8;
+            font-weight: 400;
+        }
+
+        .nav-links {
+            display: flex;
+            gap: 1.5rem;
+        }
+
+        .nav-links a {
+            color: white;
+            text-decoration: none;
+            opacity: 0.9;
+            transition: opacity 0.2s;
+        }
+
+        .nav-links a:hover {
+            opacity: 1;
+        }
+
+        /* Main Container */
+        .container {
+            max-width: 1400px;
+            margin: 0 auto;
+            padding: 2rem;
+        }
+
+        /* Upload Section */
+        .upload-section {
+            background: white;
+            border-radius: 12px;
+            padding: 2rem;
+            margin-bottom: 2rem;
+            box-shadow: 0 1px 3px rgba(0,0,0,0.1);
+        }
+
+        .upload-zone {
+            border: 2px dashed var(--gray-300);
+            border-radius: 8px;
+            padding: 3rem;
+            text-align: center;
+            cursor: pointer;
+            transition: all 0.2s;
+        }
+
+        .upload-zone:hover {
+            border-color: var(--primary);
+            background-color: var(--gray-50);
+        }
+
+        .upload-zone.dragover {
+            border-color: var(--primary);
+            background-color: #eff6ff;
+        }
+
+        .upload-icon {
+            font-size: 3rem;
+            margin-bottom: 1rem;
+        }
+
+        .upload-text {
+            color: var(--gray-700);
+            margin-bottom: 0.5rem;
+        }
+
+        .upload-hint {
+            color: var(--gray-500);
+            font-size: 0.875rem;
+        }
+
+        .btn {
+            display: inline-flex;
+            align-items: center;
+            gap: 0.5rem;
+            padding: 0.75rem 1.5rem;
+            border-radius: 8px;
+            font-weight: 500;
+            cursor: pointer;
+            transition: all 0.2s;
+            border: none;
+            font-size: 1rem;
+        }
+
+        .btn-primary {
+            background-color: var(--primary);
+            color: white;
+        }
+
+        .btn-primary:hover {
+            background-color: var(--primary-dark);
+        }
+
+        .btn-outline {
+            background: transparent;
+            border: 1px solid var(--gray-300);
+            color: var(--gray-700);
+        }
+
+        .btn-outline:hover {
+            background-color: var(--gray-50);
+        }
+
+        /* Stats Grid */
+        .stats-grid {
+            display: grid;
+            grid-template-columns: repeat(auto-fit, minmax(200px, 1fr));
+            gap: 1rem;
+            margin-bottom: 2rem;
+        }
+
+        .stat-card {
+            background: white;
+            border-radius: 12px;
+            padding: 1.5rem;
+            box-shadow: 0 1px 3px rgba(0,0,0,0.1);
+        }
+
+        .stat-label {
+            color: var(--gray-500);
+            font-size: 0.875rem;
+            margin-bottom: 0.5rem;
+        }
+
+        .stat-value {
+            font-size: 2rem;
+            font-weight: 700;
+            color: var(--gray-900);
+        }
+
+        .stat-value.success { color: var(--success); }
+        .stat-value.warning { color: var(--warning); }
+        .stat-value.danger { color: var(--danger); }
+
+        .stat-change {
+            font-size: 0.875rem;
+            margin-top: 0.5rem;
+        }
+
+        .stat-change.positive { color: var(--success); }
+        .stat-change.negative { color: var(--danger); }
+
+        /* Section Title */
+        .section-title {
+            display: flex;
+            justify-content: space-between;
+            align-items: center;
+            margin-bottom: 1.5rem;
+        }
+
+        .section-title h2 {
+            font-size: 1.25rem;
+            font-weight: 600;
+        }
+
+        /* Action Cards */
+        .action-cards {
+            display: grid;
+            grid-template-columns: repeat(auto-fit, minmax(400px, 1fr));
+            gap: 1.5rem;
+            margin-bottom: 2rem;
+        }
+
+        .action-card {
+            background: white;
+            border-radius: 12px;
+            overflow: hidden;
+            box-shadow: 0 1px 3px rgba(0,0,0,0.1);
+            transition: transform 0.2s, box-shadow 0.2s;
+        }
+
+        .action-card:hover {
+            transform: translateY(-2px);
+            box-shadow: 0 4px 12px rgba(0,0,0,0.15);
+        }
+
+        .action-card-header {
+            padding: 1rem 1.5rem;
+            display: flex;
+            align-items: center;
+            gap: 0.75rem;
+        }
+
+        .action-card-header.resource {
+            background: linear-gradient(135deg, #fef3c7 0%, #fde68a 100%);
+            border-bottom: 1px solid #fcd34d;
+        }
+
+        .action-card-header.stagnant {
+            background: linear-gradient(135deg, #fee2e2 0%, #fecaca 100%);
+            border-bottom: 1px solid #fca5a5;
+        }
+
+        .action-card-icon {
+            width: 40px;
+            height: 40px;
+            border-radius: 8px;
+            display: flex;
+            align-items: center;
+            justify-content: center;
+            font-size: 1.25rem;
+        }
+
+        .action-card-header.resource .action-card-icon {
+            background: #f59e0b;
+            color: white;
+        }
+
+        .action-card-header.stagnant .action-card-icon {
+            background: #ef4444;
+            color: white;
+        }
+
+        .action-card-title {
+            font-weight: 600;
+            color: var(--gray-900);
+        }
+
+        .action-card-subtitle {
+            font-size: 0.875rem;
+            color: var(--gray-500);
+        }
+
+        .action-card-body {
+            padding: 1.5rem;
+        }
+
+        .action-card-metrics {
+            display: grid;
+            grid-template-columns: repeat(2, 1fr);
+            gap: 1rem;
+            margin-bottom: 1rem;
+        }
+
+        .metric {
+            padding: 0.75rem;
+            background: var(--gray-50);
+            border-radius: 8px;
+        }
+
+        .metric-label {
+            font-size: 0.75rem;
+            color: var(--gray-500);
+            text-transform: uppercase;
+            letter-spacing: 0.05em;
+        }
+
+        .metric-value {
+            font-size: 1.25rem;
+            font-weight: 600;
+            color: var(--gray-900);
+        }
+
+        .action-card-suggestion {
+            padding: 1rem;
+            background: #f0f9ff;
+            border-left: 4px solid var(--primary);
+            border-radius: 0 8px 8px 0;
+            font-size: 0.875rem;
+            color: var(--gray-700);
+        }
+
+        .action-card-footer {
+            padding: 1rem 1.5rem;
+            border-top: 1px solid var(--gray-100);
+            display: flex;
+            justify-content: flex-end;
+            gap: 0.75rem;
+        }
+
+        /* Tags */
+        .tag {
+            display: inline-flex;
+            align-items: center;
+            padding: 0.25rem 0.75rem;
+            border-radius: 9999px;
+            font-size: 0.75rem;
+            font-weight: 500;
+        }
+
+        .tag-warning {
+            background: #fef3c7;
+            color: #92400e;
+        }
+
+        .tag-danger {
+            background: #fee2e2;
+            color: #991b1b;
+        }
+
+        .tag-success {
+            background: #d1fae5;
+            color: #065f46;
+        }
+
+        /* Table */
+        .table-container {
+            background: white;
+            border-radius: 12px;
+            overflow: hidden;
+            box-shadow: 0 1px 3px rgba(0,0,0,0.1);
+        }
+
+        .table-header {
+            padding: 1rem 1.5rem;
+            border-bottom: 1px solid var(--gray-200);
+            display: flex;
+            justify-content: space-between;
+            align-items: center;
+        }
+
+        .table-title {
+            font-weight: 600;
+        }
+
+        table {
+            width: 100%;
+            border-collapse: collapse;
+        }
+
+        th, td {
+            padding: 1rem 1.5rem;
+            text-align: left;
+        }
+
+        th {
+            background: var(--gray-50);
+            font-weight: 500;
+            color: var(--gray-500);
+            font-size: 0.875rem;
+            text-transform: uppercase;
+            letter-spacing: 0.05em;
+        }
+
+        tr:not(:last-child) td {
+            border-bottom: 1px solid var(--gray-100);
+        }
+
+        tr:hover td {
+            background: var(--gray-50);
+        }
+
+        /* Progress Bar */
+        .progress-bar {
+            height: 8px;
+            background: var(--gray-200);
+            border-radius: 4px;
+            overflow: hidden;
+        }
+
+        .progress-fill {
+            height: 100%;
+            border-radius: 4px;
+            transition: width 0.3s;
+        }
+
+        .progress-fill.success { background: var(--success); }
+        .progress-fill.warning { background: var(--warning); }
+        .progress-fill.danger { background: var(--danger); }
+
+        /* Filter Bar */
+        .filter-bar {
+            display: flex;
+            gap: 1rem;
+            margin-bottom: 1.5rem;
+            flex-wrap: wrap;
+        }
+
+        .filter-group {
+            display: flex;
+            align-items: center;
+            gap: 0.5rem;
+        }
+
+        .filter-label {
+            font-size: 0.875rem;
+            color: var(--gray-500);
+        }
+
+        select, input[type="text"], input[type="number"] {
+            padding: 0.5rem 1rem;
+            border: 1px solid var(--gray-300);
+            border-radius: 6px;
+            font-size: 0.875rem;
+            background: white;
+        }
+
+        select:focus, input:focus {
+            outline: none;
+            border-color: var(--primary);
+            box-shadow: 0 0 0 3px rgba(37, 99, 235, 0.1);
+        }
+
+        /* Responsive */
+        @media (max-width: 768px) {
+            .container {
+                padding: 1rem;
+            }
+
+            .header-content {
+                flex-direction: column;
+                gap: 1rem;
+            }
+
+            .action-cards {
+                grid-template-columns: 1fr;
+            }
+
+            .stats-grid {
+                grid-template-columns: repeat(2, 1fr);
+            }
+        }
+
+        /* Loading State */
+        .loading {
+            display: flex;
+            align-items: center;
+            justify-content: center;
+            padding: 3rem;
+        }
+
+        .spinner {
+            width: 40px;
+            height: 40px;
+            border: 3px solid var(--gray-200);
+            border-top-color: var(--primary);
+            border-radius: 50%;
+            animation: spin 1s linear infinite;
+        }
+
+        @keyframes spin {
+            to { transform: rotate(360deg); }
+        }
+
+        /* Empty State */
+        .empty-state {
+            text-align: center;
+            padding: 4rem 2rem;
+            color: var(--gray-500);
+        }
+
+        .empty-state-icon {
+            font-size: 4rem;
+            margin-bottom: 1rem;
+            opacity: 0.5;
+        }
+    </style>
+</head>
+<body>
+    <!-- Header -->
+    <header class="header">
+        <div class="header-content">
+            <div class="logo">DIT <span>智能分析系統</span></div>
+            <nav class="nav-links">
+                <a href="#">儀表板</a>
+                <a href="#">分析報告</a>
+                <a href="#">設定</a>
+            </nav>
+        </div>
+    </header>
+
+    <div class="container">
+        <!-- Upload Section -->
+        <section class="upload-section">
+            <div class="upload-zone" id="uploadZone">
+                <div class="upload-icon">📁</div>
+                <div class="upload-text">拖曳 CSV 檔案至此處，或點擊選擇檔案</div>
+                <div class="upload-hint">支援 DIT Report CSV 格式</div>
+                <input type="file" id="fileInput" accept=".csv" hidden>
+            </div>
+            <div style="display: flex; justify-content: center; gap: 1rem; margin-top: 1.5rem;">
+                <button class="btn btn-primary" onclick="document.getElementById('fileInput').click()">
+                    選擇檔案
+                </button>
+                <button class="btn btn-outline" id="analyzeBtn">
+                    開始分析
+                </button>
+            </div>
+        </section>
+
+        <!-- Stats Grid -->
+        <div class="stats-grid">
+            <div class="stat-card">
+                <div class="stat-label">總案件數</div>
+                <div class="stat-value">1,234</div>
+                <div class="stat-change positive">+12% vs 上月</div>
+            </div>
+            <div class="stat-card">
+                <div class="stat-label">總潛在金額</div>
+                <div class="stat-value">$4.5M</div>
+                <div class="stat-change positive">+8% vs 上月</div>
+            </div>
+            <div class="stat-card">
+                <div class="stat-label">整體勝率</div>
+                <div class="stat-value success">68%</div>
+                <div class="stat-change negative">-3% vs 上月</div>
+            </div>
+            <div class="stat-card">
+                <div class="stat-label">待處理警示</div>
+                <div class="stat-value danger">12</div>
+                <div class="stat-change">需要關注</div>
+            </div>
+        </div>
+
+        <!-- Filter Bar -->
+        <div class="filter-bar">
+            <div class="filter-group">
+                <span class="filter-label">篩選條件：</span>
+                <select>
+                    <option>所有類型</option>
+                    <option>高價值資源分配</option>
+                    <option>呆滯案件警示</option>
+                </select>
+            </div>
+            <div class="filter-group">
+                <span class="filter-label">金額門檻 Top:</span>
+                <input type="number" value="20" style="width: 80px;"> %
+            </div>
+            <div class="filter-group">
+                <span class="filter-label">呆滯天數:</span>
+                <input type="number" value="60" style="width: 80px;"> 天
+            </div>
+        </div>
+
+        <!-- Action Cards Section -->
+        <div class="section-title">
+            <h2>行動建議卡片 (Action Cards)</h2>
+            <span class="tag tag-danger">12 項待處理</span>
+        </div>
+
+        <div class="action-cards">
+            <!-- Resource Allocation Card -->
+            <div class="action-card">
+                <div class="action-card-header resource">
+                    <div class="action-card-icon">💰</div>
+                    <div>
+                        <div class="action-card-title">高潛力市場攻堅提醒</div>
+                        <div class="action-card-subtitle">Feature 6.2 - Resource Allocation</div>
+                    </div>
+                </div>
+                <div class="action-card-body">
+                    <div class="action-card-metrics">
+                        <div class="metric">
+                            <div class="metric-label">應用領域</div>
+                            <div class="metric-value">Automotive</div>
+                        </div>
+                        <div class="metric">
+                            <div class="metric-label">潛在金額</div>
+                            <div class="metric-value">$1,200,000</div>
+                        </div>
+                        <div class="metric">
+                            <div class="metric-label">當前勝率</div>
+                            <div class="metric-value" style="color: var(--danger);">8.5%</div>
+                        </div>
+                        <div class="metric">
+                            <div class="metric-label">Top 客戶</div>
+                            <div class="metric-value" style="font-size: 0.875rem;">客戶A, 客戶B</div>
+                        </div>
+                    </div>
+                    <div class="action-card-suggestion">
+                        <strong>建議：</strong>Automotive 領域潛在商機巨大 ($1,200,000)，但目前勝率偏低 (8.5%)。建議指派資深 FAE 介入該領域的前三大案子。
+                    </div>
+                </div>
+                <div class="action-card-footer">
+                    <button class="btn btn-outline">標記已處理</button>
+                    <button class="btn btn-primary">查看詳情</button>
+                </div>
+            </div>
+
+            <!-- Stagnant Deal Card -->
+            <div class="action-card">
+                <div class="action-card-header stagnant">
+                    <div class="action-card-icon">⏰</div>
+                    <div>
+                        <div class="action-card-title">呆滯案件喚醒</div>
+                        <div class="action-card-subtitle">Feature 6.3 - Stagnant Deal Alert</div>
+                    </div>
+                </div>
+                <div class="action-card-body">
+                    <div class="action-card-metrics">
+                        <div class="metric">
+                            <div class="metric-label">客戶名稱</div>
+                            <div class="metric-value">台積電</div>
+                        </div>
+                        <div class="metric">
+                            <div class="metric-label">專案名稱</div>
+                            <div class="metric-value">Project Alpha</div>
+                        </div>
+                        <div class="metric">
+                            <div class="metric-label">承認日期</div>
+                            <div class="metric-value">2024-09-15</div>
+                        </div>
+                        <div class="metric">
+                            <div class="metric-label">呆滯天數</div>
+                            <div class="metric-value" style="color: var(--danger);">88 天</div>
+                        </div>
+                    </div>
+                    <div class="action-card-suggestion">
+                        <strong>建議：</strong>客戶 台積電 的 Project Alpha 已承認超過 2 個月 (88 天)，仍未轉單。請業務確認是否為「價格」或「庫存」問題。
+                    </div>
+                </div>
+                <div class="action-card-footer">
+                    <button class="btn btn-outline">標記已處理</button>
+                    <button class="btn btn-primary">聯繫業務</button>
+                </div>
+            </div>
+
+            <!-- Another Resource Card -->
+            <div class="action-card">
+                <div class="action-card-header resource">
+                    <div class="action-card-icon">💰</div>
+                    <div>
+                        <div class="action-card-title">高潛力市場攻堅提醒</div>
+                        <div class="action-card-subtitle">Feature 6.2 - Resource Allocation</div>
+                    </div>
+                </div>
+                <div class="action-card-body">
+                    <div class="action-card-metrics">
+                        <div class="metric">
+                            <div class="metric-label">應用領域</div>
+                            <div class="metric-value">IoT</div>
+                        </div>
+                        <div class="metric">
+                            <div class="metric-label">潛在金額</div>
+                            <div class="metric-value">$850,000</div>
+                        </div>
+                        <div class="metric">
+                            <div class="metric-label">當前勝率</div>
+                            <div class="metric-value" style="color: var(--warning);">5.2%</div>
+                        </div>
+                        <div class="metric">
+                            <div class="metric-label">Top 客戶</div>
+                            <div class="metric-value" style="font-size: 0.875rem;">客戶C, 客戶D</div>
+                        </div>
+                    </div>
+                    <div class="action-card-suggestion">
+                        <strong>建議：</strong>IoT 領域潛在商機巨大 ($850,000)，但目前勝率偏低 (5.2%)。建議指派資深 FAE 介入該領域的前三大案子。
+                    </div>
+                </div>
+                <div class="action-card-footer">
+                    <button class="btn btn-outline">標記已處理</button>
+                    <button class="btn btn-primary">查看詳情</button>
+                </div>
+            </div>
+
+            <!-- Another Stagnant Card -->
+            <div class="action-card">
+                <div class="action-card-header stagnant">
+                    <div class="action-card-icon">⏰</div>
+                    <div>
+                        <div class="action-card-title">呆滯案件喚醒</div>
+                        <div class="action-card-subtitle">Feature 6.3 - Stagnant Deal Alert</div>
+                    </div>
+                </div>
+                <div class="action-card-body">
+                    <div class="action-card-metrics">
+                        <div class="metric">
+                            <div class="metric-label">客戶名稱</div>
+                            <div class="metric-value">聯發科</div>
+                        </div>
+                        <div class="metric">
+                            <div class="metric-label">專案名稱</div>
+                            <div class="metric-value">Project Beta</div>
+                        </div>
+                        <div class="metric">
+                            <div class="metric-label">承認日期</div>
+                            <div class="metric-value">2024-08-20</div>
+                        </div>
+                        <div class="metric">
+                            <div class="metric-label">呆滯天數</div>
+                            <div class="metric-value" style="color: var(--danger);">114 天</div>
+                        </div>
+                    </div>
+                    <div class="action-card-suggestion">
+                        <strong>建議：</strong>客戶 聯發科 的 Project Beta 已承認超過 3 個月 (114 天)，仍未轉單。請業務確認是否為「價格」或「庫存」問題。
+                    </div>
+                </div>
+                <div class="action-card-footer">
+                    <button class="btn btn-outline">標記已處理</button>
+                    <button class="btn btn-primary">聯繫業務</button>
+                </div>
+            </div>
+        </div>
+
+        <!-- Summary Table -->
+        <div class="table-container">
+            <div class="table-header">
+                <span class="table-title">應用領域統計摘要</span>
+                <button class="btn btn-outline">匯出 CSV</button>
+            </div>
+            <table>
+                <thead>
+                    <tr>
+                        <th>應用領域</th>
+                        <th>案件數</th>
+                        <th>總金額</th>
+                        <th>勝率</th>
+                        <th>狀態</th>
+                    </tr>
+                </thead>
+                <tbody>
+                    <tr>
+                        <td><strong>Automotive</strong></td>
+                        <td>156</td>
+                        <td>$1,200,000</td>
+                        <td>
+                            <div style="display: flex; align-items: center; gap: 0.5rem;">
+                                <div class="progress-bar" style="width: 100px;">
+                                    <div class="progress-fill danger" style="width: 8.5%;"></div>
+                                </div>
+                                <span>8.5%</span>
+                            </div>
+                        </td>
+                        <td><span class="tag tag-danger">需關注</span></td>
+                    </tr>
+                    <tr>
+                        <td><strong>IoT</strong></td>
+                        <td>89</td>
+                        <td>$850,000</td>
+                        <td>
+                            <div style="display: flex; align-items: center; gap: 0.5rem;">
+                                <div class="progress-bar" style="width: 100px;">
+                                    <div class="progress-fill danger" style="width: 5.2%;"></div>
+                                </div>
+                                <span>5.2%</span>
+                            </div>
+                        </td>
+                        <td><span class="tag tag-danger">需關注</span></td>
+                    </tr>
+                    <tr>
+                        <td><strong>Consumer</strong></td>
+                        <td>234</td>
+                        <td>$650,000</td>
+                        <td>
+                            <div style="display: flex; align-items: center; gap: 0.5rem;">
+                                <div class="progress-bar" style="width: 100px;">
+                                    <div class="progress-fill warning" style="width: 35%;"></div>
+                                </div>
+                                <span>35%</span>
+                            </div>
+                        </td>
+                        <td><span class="tag tag-warning">待改善</span></td>
+                    </tr>
+                    <tr>
+                        <td><strong>Industrial</strong></td>
+                        <td>178</td>
+                        <td>$920,000</td>
+                        <td>
+                            <div style="display: flex; align-items: center; gap: 0.5rem;">
+                                <div class="progress-bar" style="width: 100px;">
+                                    <div class="progress-fill success" style="width: 72%;"></div>
+                                </div>
+                                <span>72%</span>
+                            </div>
+                        </td>
+                        <td><span class="tag tag-success">良好</span></td>
+                    </tr>
+                    <tr>
+                        <td><strong>Power Supply</strong></td>
+                        <td>145</td>
+                        <td>$780,000</td>
+                        <td>
+                            <div style="display: flex; align-items: center; gap: 0.5rem;">
+                                <div class="progress-bar" style="width: 100px;">
+                                    <div class="progress-fill success" style="width: 68%;"></div>
+                                </div>
+                                <span>68%</span>
+                            </div>
+                        </td>
+                        <td><span class="tag tag-success">良好</span></td>
+                    </tr>
+                </tbody>
+            </table>
+        </div>
+    </div>
+
+    <script>
+        // Upload Zone Interaction
+        const uploadZone = document.getElementById('uploadZone');
+        const fileInput = document.getElementById('fileInput');
+
+        uploadZone.addEventListener('click', () => fileInput.click());
+
+        uploadZone.addEventListener('dragover', (e) => {
+            e.preventDefault();
+            uploadZone.classList.add('dragover');
+        });
+
+        uploadZone.addEventListener('dragleave', () => {
+            uploadZone.classList.remove('dragover');
+        });
+
+        uploadZone.addEventListener('drop', (e) => {
+            e.preventDefault();
+            uploadZone.classList.remove('dragover');
+            const files = e.dataTransfer.files;
+            if (files.length > 0) {
+                handleFile(files[0]);
+            }
+        });
+
+        fileInput.addEventListener('change', (e) => {
+            if (e.target.files.length > 0) {
+                handleFile(e.target.files[0]);
+            }
+        });
+
+        function handleFile(file) {
+            if (file.name.endsWith('.csv')) {
+                document.querySelector('.upload-text').textContent = `已選擇: ${file.name}`;
+                document.querySelector('.upload-icon').textContent = '✅';
+            } else {
+                alert('請上傳 CSV 格式檔案');
+            }
+        }
+
+        // Analyze Button
+        document.getElementById('analyzeBtn').addEventListener('click', () => {
+            alert('分析功能將連接後端 API\nPOST /api/analyze');
+        });
+    </script>
+</body>
+</html>
--- a/DIT_C/requirements.txt
+++ b/DIT_C/requirements.txt
@@ -0,0 +1,11 @@
+flask>=3.0.0
+flask-sqlalchemy>=3.1.0
+flask-login>=0.6.3
+python-dotenv>=1.0.0
+pymysql>=1.1.0
+cryptography>=41.0.0
+requests>=2.31.0
+pandas>=2.0.0
+numpy>=1.24.0
+werkzeug>=3.0.0
+openpyxl>=3.1.0
--- a/DIT_C/routes/init.py
+++ b/DIT_C/routes/init.py
@@ -0,0 +1 @@
+# Routes module
--- a/DIT_C/routes/api.py
+++ b/DIT_C/routes/api.py
@@ -0,0 +1,234 @@
+"""
+DIT 分析 API 路由 (含資料庫整合)
+"""
+
+import os
+import json
+from flask import Blueprint, request, jsonify, current_app
+from werkzeug.utils import secure_filename
+from services.dit_analyzer import DITAnalyzer, DITAnalyzerError
+from models import db
+from models.dit_models import DITUploadHistory, DITAnalysisResult, DITActionCard
+
+api_bp = Blueprint('api', __name__, url_prefix='/api')
+
+ALLOWED_EXTENSIONS = {'csv', 'xlsx'}
+UPLOAD_FOLDER = 'uploads'
+
+
+def allowed_file(filename: str) -> bool:
+    """檢查檔案副檔名"""
+    return '.' in filename and filename.rsplit('.', 1)[1].lower() in ALLOWED_EXTENSIONS
+
+
+@api_bp.route('/analyze', methods=['POST'])
+def analyze_dit():
+    """
+    分析 DIT CSV 檔案
+
+    接受 multipart/form-data 上傳 CSV
+    回傳 JSON 格式分析結果
+    """
+    if 'file' not in request.files:
+        return jsonify({"error": "未上傳檔案", "code": "NO_FILE"}), 400
+
+    file = request.files['file']
+    if file.filename == '':
+        return jsonify({"error": "未選擇檔案", "code": "NO_FILENAME"}), 400
+
+    if not allowed_file(file.filename):
+        return jsonify({"error": "僅支援 CSV 或 XLSX 檔案", "code": "INVALID_TYPE"}), 400
+
+    top_percent = float(request.form.get('top_percent', 0.2))
+    low_win_rate = float(request.form.get('low_win_rate', 0.1))
+    threshold_days = int(request.form.get('threshold_days', 60))
+    skip_rows = int(request.form.get('skip_rows', 16))  # 預設從第 17 列開始
+    start_col = int(request.form.get('start_col', 1))   # 預設從 B 欄開始
+
+    try:
+        os.makedirs(UPLOAD_FOLDER, exist_ok=True)
+        filename = secure_filename(file.filename)
+        filepath = os.path.join(UPLOAD_FOLDER, filename)
+        file.save(filepath)
+
+        # 記錄上傳
+        upload_record = DITUploadHistory(
+            filename=filename,
+            file_size=os.path.getsize(filepath),
+            status='processing'
+        )
+        db.session.add(upload_record)
+        db.session.commit()
+
+        # 執行分析 (資料從 B17 開始)
+        analyzer = DITAnalyzer(filepath, skip_rows=skip_rows, start_col=start_col)
+        report = analyzer.generate_report(
+            top_percent=top_percent,
+            low_win_rate=low_win_rate,
+            threshold_days=threshold_days
+        )
+
+        # 更新上傳記錄
+        upload_record.record_count = report['summary']['total_records']
+        upload_record.total_value = report['summary']['total_value_raw']
+        upload_record.status = 'completed'
+
+        # 儲存分析結果
+        analysis_result = DITAnalysisResult(
+            upload_id=upload_record.id,
+            analysis_type='full',
+            total_records=report['summary']['total_records'],
+            total_value=report['summary']['total_value_raw'],
+            active_count=report['summary']['active_count'],
+            lost_count=report['summary']['lost_count'],
+            win_rate=float(report['summary']['win_rate'].replace('%', '')) / 100,
+            result_json=json.dumps(report, ensure_ascii=False)
+        )
+        db.session.add(analysis_result)
+        db.session.commit()
+
+        os.remove(filepath)
+
+        return jsonify({
+            "status": "success",
+            "data": report
+        })
+
+    except DITAnalyzerError as e:
+        if 'upload_record' in locals():
+            upload_record.status = 'failed'
+            db.session.commit()
+        return jsonify({"error": str(e), "code": "ANALYZER_ERROR"}), 400
+    except Exception as e:
+        if 'upload_record' in locals():
+            upload_record.status = 'failed'
+            db.session.commit()
+        return jsonify({"error": f"分析失敗: {str(e)}", "code": "INTERNAL_ERROR"}), 500
+
+
+@api_bp.route('/analyze/resource-allocation', methods=['POST'])
+def analyze_resource_allocation():
+    """僅執行 Feature 6.2: 高價值資源分配分析"""
+    if 'file' not in request.files:
+        return jsonify({"error": "未上傳檔案", "code": "NO_FILE"}), 400
+
+    file = request.files['file']
+    if not allowed_file(file.filename):
+        return jsonify({"error": "僅支援 CSV 或 XLSX 檔案", "code": "INVALID_TYPE"}), 400
+
+    top_percent = float(request.form.get('top_percent', 0.2))
+    low_win_rate = float(request.form.get('low_win_rate', 0.1))
+    skip_rows = int(request.form.get('skip_rows', 16))
+    start_col = int(request.form.get('start_col', 1))
+
+    try:
+        os.makedirs(UPLOAD_FOLDER, exist_ok=True)
+        filename = secure_filename(file.filename)
+        filepath = os.path.join(UPLOAD_FOLDER, filename)
+        file.save(filepath)
+
+        analyzer = DITAnalyzer(filepath, skip_rows=skip_rows, start_col=start_col)
+        results = analyzer.analyze_resource_allocation(top_percent, low_win_rate)
+
+        os.remove(filepath)
+
+        return jsonify({
+            "status": "success",
+            "data": {
+                "type": "resource_allocation",
+                "count": len(results),
+                "action_cards": results
+            }
+        })
+
+    except DITAnalyzerError as e:
+        return jsonify({"error": str(e), "code": "ANALYZER_ERROR"}), 400
+    except Exception as e:
+        return jsonify({"error": f"分析失敗: {str(e)}", "code": "INTERNAL_ERROR"}), 500
+
+
+@api_bp.route('/analyze/stagnant-deals', methods=['POST'])
+def analyze_stagnant_deals():
+    """僅執行 Feature 6.3: 呆滯案件警示"""
+    if 'file' not in request.files:
+        return jsonify({"error": "未上傳檔案", "code": "NO_FILE"}), 400
+
+    file = request.files['file']
+    if not allowed_file(file.filename):
+        return jsonify({"error": "僅支援 CSV 或 XLSX 檔案", "code": "INVALID_TYPE"}), 400
+
+    threshold_days = int(request.form.get('threshold_days', 60))
+    skip_rows = int(request.form.get('skip_rows', 16))
+    start_col = int(request.form.get('start_col', 1))
+
+    try:
+        os.makedirs(UPLOAD_FOLDER, exist_ok=True)
+        filename = secure_filename(file.filename)
+        filepath = os.path.join(UPLOAD_FOLDER, filename)
+        file.save(filepath)
+
+        analyzer = DITAnalyzer(filepath, skip_rows=skip_rows, start_col=start_col)
+        results = analyzer.analyze_stagnant_deals(threshold_days)
+
+        os.remove(filepath)
+
+        return jsonify({
+            "status": "success",
+            "data": {
+                "type": "stagnant_deals",
+                "count": len(results),
+                "action_cards": results
+            }
+        })
+
+    except DITAnalyzerError as e:
+        return jsonify({"error": str(e), "code": "ANALYZER_ERROR"}), 400
+    except Exception as e:
+        return jsonify({"error": f"分析失敗: {str(e)}", "code": "INTERNAL_ERROR"}), 500
+
+
+@api_bp.route('/action-card/<int:card_id>/resolve', methods=['POST'])
+def resolve_action_card(card_id):
+    """標記 Action Card 為已處理"""
+    from datetime import datetime
+    card = DITActionCard.query.get_or_404(card_id)
+    card.is_resolved = True
+    card.resolved_at = datetime.utcnow()
+    db.session.commit()
+    return jsonify({"status": "success"})
+
+
+@api_bp.route('/llm/models', methods=['GET'])
+def get_llm_models():
+    """取得可用 LLM 模型列表"""
+    from services.llm_service import llm_service, LLMServiceError
+    try:
+        models = llm_service.get_available_models()
+        return jsonify({
+            "status": "success",
+            "data": models
+        })
+    except LLMServiceError as e:
+        return jsonify({"error": str(e)}), 500
+
+
+@api_bp.route('/llm/chat', methods=['POST'])
+def llm_chat():
+    """LLM 聊天 API"""
+    from services.llm_service import llm_service, LLMServiceError
+    data = request.get_json()
+
+    if not data or 'prompt' not in data:
+        return jsonify({"error": "缺少 prompt 參數"}), 400
+
+    try:
+        response = llm_service.simple_query(
+            prompt=data['prompt'],
+            system_prompt=data.get('system_prompt')
+        )
+        return jsonify({
+            "status": "success",
+            "data": {"response": response}
+        })
+    except LLMServiceError as e:
+        return jsonify({"error": str(e)}), 500
--- a/DIT_C/routes/main.py
+++ b/DIT_C/routes/main.py
@@ -0,0 +1,85 @@
+"""
+主要頁面路由
+"""
+
+from flask import Blueprint, render_template, redirect, url_for, flash, request
+from models import db
+from models.dit_models import DITUploadHistory, DITAnalysisResult, DITActionCard
+import json
+
+main_bp = Blueprint('main', __name__)
+
+
+@main_bp.route('/')
+def index():
+    """首頁重導向到儀表板"""
+    return redirect(url_for('main.dashboard'))
+
+
+@main_bp.route('/dashboard')
+def dashboard():
+    """儀表板頁面"""
+    # 取得最新分析結果
+    latest_result = DITAnalysisResult.query.order_by(
+        DITAnalysisResult.created_at.desc()
+    ).first()
+
+    summary = None
+    action_cards = None
+    total_alerts = 0
+
+    if latest_result and latest_result.result_json:
+        try:
+            result_data = json.loads(latest_result.result_json)
+            summary = result_data.get('summary', {})
+            action_cards = result_data.get('action_cards', {})
+            total_alerts = result_data.get('total_alerts', 0)
+        except json.JSONDecodeError:
+            pass
+
+    return render_template('dashboard.html',
+                           summary=summary,
+                           action_cards=action_cards,
+                           total_alerts=total_alerts)
+
+
+@main_bp.route('/upload')
+def upload():
+    """上傳分析頁面"""
+    return render_template('upload.html')
+
+
+@main_bp.route('/history')
+def history():
+    """歷史記錄頁面"""
+    uploads = DITUploadHistory.query.order_by(
+        DITUploadHistory.uploaded_at.desc()
+    ).limit(50).all()
+
+    return render_template('history.html', uploads=uploads)
+
+
+@main_bp.route('/result/<int:upload_id>')
+def result(upload_id):
+    """查看特定分析結果"""
+    upload = DITUploadHistory.query.get_or_404(upload_id)
+    result = DITAnalysisResult.query.filter_by(upload_id=upload_id).first()
+
+    summary = None
+    action_cards = None
+    total_alerts = 0
+
+    if result and result.result_json:
+        try:
+            result_data = json.loads(result.result_json)
+            summary = result_data.get('summary', {})
+            action_cards = result_data.get('action_cards', {})
+            total_alerts = result_data.get('total_alerts', 0)
+        except json.JSONDecodeError:
+            pass
+
+    return render_template('dashboard.html',
+                           summary=summary,
+                           action_cards=action_cards,
+                           total_alerts=total_alerts,
+                           upload=upload)
--- a/DIT_C/services/init.py
+++ b/DIT_C/services/init.py
@@ -0,0 +1 @@
+# Services module
--- a/DIT_C/services/dit_analyzer.py
+++ b/DIT_C/services/dit_analyzer.py
@@ -0,0 +1,400 @@
+"""
+DIT 智能分析模組
+解析 DIT CSV 報表，產出行動建議卡片 (Action Cards)
+"""
+
+import pandas as pd
+import numpy as np
+from datetime import datetime
+from typing import List, Dict, Optional, Any
+
+
+class DITAnalyzer:
+    """DIT 報表分析器"""
+
+    def __init__(
+        self,
+        file_path: Optional[str] = None,
+        dataframe: Optional[pd.DataFrame] = None,
+        skip_rows: int = 16,
+        start_col: int = 1
+    ):
+        """
+        初始化分析器
+
+        Args:
+            file_path: CSV 檔案路徑
+            dataframe: 或直接傳入 DataFrame
+            skip_rows: 跳過前幾列 (預設 16，即從第 17 列開始)
+            start_col: 起始欄位索引 (預設 1，即 B 欄)
+
+        Note:
+            預設 CSV 格式為從 B17 儲存格開始讀取資料
+        """
+        self.df: Optional[pd.DataFrame] = None
+        self.processed: bool = False
+
+        if file_path:
+            self.load_data(file_path, skip_rows=skip_rows, start_col=start_col)
+        elif dataframe is not None:
+            self.df = dataframe.copy()
+            self._preprocess()
+
+    def load_data(self, file_path: str, skip_rows: int = 16, start_col: int = 1) -> 'DITAnalyzer':
+        """
+        載入 CSV 或 Excel 資料
+
+        Args:
+            file_path: CSV 或 XLSX 檔案路徑
+            skip_rows: 跳過前幾列 (預設 16，即從第 17 列開始)
+            start_col: 起始欄位索引 (預設 1，即 B 欄)
+
+        Returns:
+            self (支援鏈式呼叫)
+
+        Note:
+            預設資料格式為 B17 開始 (skiprows=16, usecols 從 B 欄開始)
+            支援 .csv 和 .xlsx 格式
+        """
+        file_ext = file_path.lower().split('.')[-1]
+
+        try:
+            if file_ext == 'xlsx':
+                # Excel 格式
+                self.df = self._load_excel(file_path, skip_rows, start_col)
+            else:
+                # CSV 格式
+                self.df = self._load_csv(file_path, skip_rows, start_col)
+        except Exception as e:
+            raise DITAnalyzerError(f"無法載入檔案: {e}")
+
+        self._preprocess()
+        return self
+
+    def _load_excel(self, file_path: str, skip_rows: int, start_col: int) -> pd.DataFrame:
+        """載入 Excel 檔案"""
+        # 先讀取以取得欄位總數
+        temp_df = pd.read_excel(file_path, nrows=1, skiprows=skip_rows, header=None, engine='openpyxl')
+        total_cols = len(temp_df.columns)
+
+        # 確保 usecols 不會超出範圍
+        if start_col >= total_cols:
+            return pd.read_excel(file_path, skiprows=skip_rows, engine='openpyxl')
+
+        usecols = list(range(start_col, total_cols))
+
+        return pd.read_excel(
+            file_path,
+            skiprows=skip_rows,
+            usecols=usecols,
+            engine='openpyxl'
+        )
+
+    def _load_csv(self, file_path: str, skip_rows: int, start_col: int) -> pd.DataFrame:
+        """載入 CSV 檔案"""
+        try:
+            # 先讀取檔案以取得總欄位數
+            temp_df = pd.read_csv(file_path, encoding='utf-8', nrows=1, skiprows=skip_rows, header=None)
+            total_cols = len(temp_df.columns)
+
+            # 確保 usecols 不會超出範圍
+            if start_col >= total_cols:
+                # 如果起始欄位超出範圍，直接讀取所有欄位
+                return pd.read_csv(file_path, encoding='utf-8', skiprows=skip_rows)
+
+            usecols = list(range(start_col, total_cols))
+
+            return pd.read_csv(
+                file_path,
+                encoding='utf-8',
+                skiprows=skip_rows,
+                usecols=usecols
+            )
+        except UnicodeDecodeError:
+            temp_df = pd.read_csv(file_path, encoding='cp950', nrows=1, skiprows=skip_rows, header=None)
+            total_cols = len(temp_df.columns)
+
+            if start_col >= total_cols:
+                return pd.read_csv(file_path, encoding='cp950', skiprows=skip_rows)
+
+            usecols = list(range(start_col, total_cols))
+
+            return pd.read_csv(
+                file_path,
+                encoding='cp950',
+                skiprows=skip_rows,
+                usecols=usecols
+            )
+
+    def _preprocess(self) -> None:
+        """執行資料清洗與預處理"""
+        if self.df is None:
+            raise DITAnalyzerError("尚未載入資料")
+
+        # 1. 欄位清洗：移除欄位名稱前後空白
+        self.df.columns = self.df.columns.str.strip()
+
+        # 2. 日期轉換
+        date_columns = ['Created Date', 'Approved date', 'Close Date']
+        for col in date_columns:
+            if col in self.df.columns:
+                self.df[col] = pd.to_datetime(self.df[col], errors='coerce')
+
+        # 3. 數值轉換：Total Price
+        if 'Total Price' in self.df.columns:
+            self.df['Total Price'] = pd.to_numeric(
+                self.df['Total Price'].astype(str).str.replace(',', ''),
+                errors='coerce'
+            ).fillna(0)
+
+        # 4. 應用領域推導 (Derived_Application)
+        self.df['Derived_Application'] = self._derive_application()
+
+        # 5. 狀態標記
+        if 'Stage' in self.df.columns:
+            self.df['Is_Lost'] = self.df['Stage'].str.contains(
+                'Lost', case=False, na=False
+            )
+            self.df['Is_Active'] = ~self.df['Is_Lost']
+        else:
+            self.df['Is_Lost'] = False
+            self.df['Is_Active'] = True
+
+        self.processed = True
+
+    def _derive_application(self) -> pd.Series:
+        """
+        推導應用領域
+        優先順序: Application → Application Detail → Opportunity Name → "Unknown"
+        """
+        def get_app(row):
+            # 檢查 Application
+            if 'Application' in row.index:
+                val = row.get('Application')
+                if pd.notna(val) and str(val).strip():
+                    return str(val).strip()
+
+            # 檢查 Application Detail
+            if 'Application Detail' in row.index:
+                val = row.get('Application Detail')
+                if pd.notna(val) and str(val).strip():
+                    return str(val).strip()
+
+            # 檢查 Opportunity Name
+            if 'Opportunity Name' in row.index:
+                val = row.get('Opportunity Name')
+                if pd.notna(val) and str(val).strip():
+                    return str(val).strip()
+
+            return "Unknown"
+
+        return self.df.apply(get_app, axis=1)
+
+    def analyze_resource_allocation(
+        self,
+        top_percent: float = 0.2,
+        low_win_rate: float = 0.1
+    ) -> List[Dict[str, Any]]:
+        """
+        Feature 6.2: 高價值資源分配建議
+
+        找出「金礦區」— 金額大但勝率低的應用領域
+
+        Args:
+            top_percent: 金額排名前 X% (預設 20%)
+            low_win_rate: 勝率門檻 (預設 10%)
+
+        Returns:
+            Action Cards 列表
+        """
+        if not self.processed:
+            raise DITAnalyzerError("資料尚未預處理")
+
+        # 依 Derived_Application 分組
+        grouped = self.df.groupby('Derived_Application').agg({
+            'Total Price': 'sum',
+            'Is_Active': 'mean',
+            'Account Name': lambda x: x.value_counts().head(3).index.tolist()
+        }).reset_index()
+
+        grouped.columns = ['Application', 'Sum_Total_Price', 'Win_Rate', 'Top_Accounts']
+
+        # 排序並取 Top 20%
+        grouped = grouped.sort_values('Sum_Total_Price', ascending=False)
+        top_n = max(1, int(len(grouped) * top_percent))
+        top_apps = grouped.head(top_n)
+
+        # 篩選勝率低於門檻的
+        low_win_apps = top_apps[top_apps['Win_Rate'] < low_win_rate]
+
+        # 產出 Action Cards
+        action_cards = []
+        for _, row in low_win_apps.iterrows():
+            money_formatted = f"${row['Sum_Total_Price']:,.0f}"
+            win_rate_pct = f"{row['Win_Rate'] * 100:.1f}"
+            top_accounts = ', '.join(row['Top_Accounts'][:3]) if row['Top_Accounts'] else '無'
+
+            action_cards.append({
+                "type": "resource_allocation",
+                "title": "高潛力市場攻堅提醒",
+                "application": row['Application'],
+                "money": money_formatted,
+                "money_raw": row['Sum_Total_Price'],
+                "win_rate": win_rate_pct,
+                "win_rate_raw": row['Win_Rate'],
+                "top_accounts": row['Top_Accounts'][:3] if row['Top_Accounts'] else [],
+                "suggestion": (
+                    f"{row['Application']} 領域潛在商機巨大 ({money_formatted})，"
+                    f"但目前勝率偏低 ({win_rate_pct}%)。"
+                    f"建議指派資深 FAE 介入該領域的前三大案子 (如 {top_accounts})。"
+                )
+            })
+
+        return action_cards
+
+    def analyze_stagnant_deals(
+        self,
+        threshold_days: int = 60,
+        reference_date: Optional[datetime] = None
+    ) -> List[Dict[str, Any]]:
+        """
+        Feature 6.3: 呆滯案件警示
+
+        針對技術已承認但商務卡關的案子進行催單
+
+        Args:
+            threshold_days: 呆滯天數門檻 (預設 60 天)
+            reference_date: 參考日期 (預設為當前日期)
+
+        Returns:
+            Action Cards 列表
+        """
+        if not self.processed:
+            raise DITAnalyzerError("資料尚未預處理")
+
+        if reference_date is None:
+            reference_date = datetime.now()
+
+        # 檢查必要欄位
+        if 'Approved date' not in self.df.columns:
+            return []
+
+        # 篩選條件
+        mask = (
+            (self.df['Stage'].str.contains('Negotiation', case=False, na=False)) &
+            (self.df['Approved date'].notna())
+        )
+        filtered = self.df[mask].copy()
+
+        if filtered.empty:
+            return []
+
+        # 計算呆滯天數
+        filtered['Days_Since_Approved'] = (
+            reference_date - filtered['Approved date']
+        ).dt.days
+
+        # 篩選超過門檻的
+        stagnant = filtered[filtered['Days_Since_Approved'] > threshold_days]
+
+        # 產出 Action Cards
+        action_cards = []
+        for _, row in stagnant.iterrows():
+            days = int(row['Days_Since_Approved'])
+            months = days // 30
+            account = row.get('Account Name', 'Unknown')
+            project = row.get('Opportunity Name', 'Unknown')
+            approved_date = row['Approved date'].strftime('%Y-%m-%d') if pd.notna(row['Approved date']) else 'N/A'
+
+            action_cards.append({
+                "type": "stagnant_deal",
+                "title": "呆滯案件喚醒",
+                "account": account,
+                "project": project,
+                "approved_date": approved_date,
+                "days_pending": days,
+                "months_pending": months,
+                "suggestion": (
+                    f"客戶 {account} 的 {project} 已承認超過 {months} 個月 ({days} 天)，仍未轉單。"
+                    f"請業務確認是否為「價格」或「庫存」問題。若無下文，應要求客戶給出 Forecast。"
+                )
+            })
+
+        # 依天數排序 (最久的在前)
+        action_cards.sort(key=lambda x: x['days_pending'], reverse=True)
+
+        return action_cards
+
+    def generate_report(
+        self,
+        top_percent: float = 0.2,
+        low_win_rate: float = 0.1,
+        threshold_days: int = 60
+    ) -> Dict[str, Any]:
+        """
+        彙整所有分析結果
+
+        Args:
+            top_percent: 高價值分析的金額門檻
+            low_win_rate: 高價值分析的勝率門檻
+            threshold_days: 呆滯分析的天數門檻
+
+        Returns:
+            完整分析報告 (Dict)
+        """
+        if not self.processed:
+            raise DITAnalyzerError("資料尚未預處理")
+
+        allocation_suggestions = self.analyze_resource_allocation(top_percent, low_win_rate)
+        stagnant_alerts = self.analyze_stagnant_deals(threshold_days)
+
+        # 統計摘要
+        summary = self._generate_summary()
+
+        return {
+            "generated_at": datetime.now().isoformat(),
+            "summary": summary,
+            "action_cards": {
+                "resource_allocation": allocation_suggestions,
+                "stagnant_deals": stagnant_alerts
+            },
+            "total_alerts": len(allocation_suggestions) + len(stagnant_alerts)
+        }
+
+    def _generate_summary(self) -> Dict[str, Any]:
+        """產生統計摘要"""
+        total_records = int(len(self.df))
+        total_value = float(self.df['Total Price'].sum())
+        active_count = int(self.df['Is_Active'].sum())
+        lost_count = int(self.df['Is_Lost'].sum())
+
+        # 各階段統計 (轉換為 Python 原生類型)
+        stage_stats = {}
+        if 'Stage' in self.df.columns:
+            stage_stats = {str(k): int(v) for k, v in self.df['Stage'].value_counts().to_dict().items()}
+
+        # 應用領域 Top 5 (轉換為 Python 原生類型)
+        app_stats = self.df.groupby('Derived_Application')['Total Price'].sum()
+        top_apps = {str(k): float(v) for k, v in app_stats.nlargest(5).to_dict().items()}
+
+        return {
+            "total_records": total_records,
+            "total_value": f"${total_value:,.0f}",
+            "total_value_raw": total_value,
+            "active_count": active_count,
+            "lost_count": lost_count,
+            "win_rate": f"{(active_count / total_records * 100):.1f}%" if total_records > 0 else "0%",
+            "stage_distribution": stage_stats,
+            "top_applications": {k: f"${v:,.0f}" for k, v in top_apps.items()}
+        }
+
+    def get_dataframe(self) -> pd.DataFrame:
+        """取得處理後的 DataFrame"""
+        if self.df is None:
+            raise DITAnalyzerError("尚未載入資料")
+        return self.df.copy()
+
+
+class DITAnalyzerError(Exception):
+    """DIT 分析器錯誤"""
+    pass
--- a/DIT_C/services/llm_service.py
+++ b/DIT_C/services/llm_service.py
@@ -0,0 +1,156 @@
+"""
+Ollama LLM API 服務模組
+支援一般請求與串流模式
+"""
+
+import requests
+import json
+import urllib3
+from typing import Generator, Optional
+from config import Config
+
+# 忽略 SSL 警告 (內部 API 自簽證書)
+urllib3.disable_warnings(urllib3.exceptions.InsecureRequestWarning)
+
+
+class LLMService:
+    """Ollama API 服務封裝"""
+
+    def __init__(self, api_url: str = None, default_model: str = None):
+        self.api_url = api_url or Config.OLLAMA_API_URL
+        self.default_model = default_model or Config.OLLAMA_DEFAULT_MODEL
+
+    def get_available_models(self) -> list:
+        """取得可用模型列表"""
+        try:
+            response = requests.get(f"{self.api_url}/v1/models", timeout=10, verify=False)
+            response.raise_for_status()
+            models = response.json()
+            return [m['id'] for m in models.get('data', [])]
+        except requests.RequestException as e:
+            raise LLMServiceError(f"無法取得模型列表: {e}")
+
+    def chat(
+        self,
+        messages: list,
+        model: str = None,
+        temperature: float = 0.7,
+        system_prompt: str = None
+    ) -> str:
+        """
+        發送聊天請求 (非串流)
+
+        Args:
+            messages: 訊息列表 [{"role": "user", "content": "..."}]
+            model: 模型名稱
+            temperature: 溫度參數 (0-1)
+            system_prompt: 系統提示詞
+
+        Returns:
+            AI 回應內容
+        """
+        model = model or self.default_model
+
+        # 加入系統提示詞
+        if system_prompt:
+            messages = [{"role": "system", "content": system_prompt}] + messages
+
+        payload = {
+            "model": model,
+            "messages": messages,
+            "temperature": temperature,
+            "stream": False
+        }
+
+        try:
+            response = requests.post(
+                f"{self.api_url}/v1/chat/completions",
+                json=payload,
+                timeout=60,
+                verify=False
+            )
+            response.raise_for_status()
+            result = response.json()
+            return result['choices'][0]['message']['content']
+        except requests.RequestException as e:
+            raise LLMServiceError(f"聊天請求失敗: {e}")
+
+    def chat_stream(
+        self,
+        messages: list,
+        model: str = None,
+        temperature: float = 0.7,
+        system_prompt: str = None
+    ) -> Generator[str, None, None]:
+        """
+        發送聊天請求 (串流模式)
+
+        Args:
+            messages: 訊息列表
+            model: 模型名稱
+            temperature: 溫度參數
+            system_prompt: 系統提示詞
+
+        Yields:
+            串流回應的每個片段
+        """
+        model = model or self.default_model
+
+        if system_prompt:
+            messages = [{"role": "system", "content": system_prompt}] + messages
+
+        payload = {
+            "model": model,
+            "messages": messages,
+            "temperature": temperature,
+            "stream": True
+        }
+
+        try:
+            response = requests.post(
+                f"{self.api_url}/v1/chat/completions",
+                json=payload,
+                stream=True,
+                timeout=120,
+                verify=False
+            )
+            response.raise_for_status()
+
+            for line in response.iter_lines():
+                if line:
+                    if line.startswith(b"data: "):
+                        data_str = line[6:].decode('utf-8')
+                        if data_str.strip() != "[DONE]":
+                            try:
+                                data = json.loads(data_str)
+                                if 'choices' in data:
+                                    delta = data['choices'][0].get('delta', {})
+                                    if 'content' in delta:
+                                        yield delta['content']
+                            except json.JSONDecodeError:
+                                continue
+        except requests.RequestException as e:
+            raise LLMServiceError(f"串流請求失敗: {e}")
+
+    def simple_query(self, prompt: str, system_prompt: str = None) -> str:
+        """
+        簡單查詢 (單一問題)
+
+        Args:
+            prompt: 使用者問題
+            system_prompt: 系統提示詞
+
+        Returns:
+            AI 回應
+        """
+        messages = [{"role": "user", "content": prompt}]
+        return self.chat(messages, system_prompt=system_prompt)
+
+
+class LLMServiceError(Exception):
+    """LLM 服務錯誤"""
+    pass
+
+
+# 全域實例
+llm_service = LLMService()
--- a/DIT_C/templates/base.html
+++ b/DIT_C/templates/base.html
@@ -0,0 +1,131 @@
+<!DOCTYPE html>
+<html lang="zh-TW">
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+    <title>{% block title %}DIT 智能分析系統{% endblock %}</title>
+    <style>
+        * { margin: 0; padding: 0; box-sizing: border-box; }
+        :root {
+            --primary: #2563eb;
+            --primary-dark: #1d4ed8;
+            --success: #10b981;
+            --warning: #f59e0b;
+            --danger: #ef4444;
+            --gray-50: #f9fafb;
+            --gray-100: #f3f4f6;
+            --gray-200: #e5e7eb;
+            --gray-300: #d1d5db;
+            --gray-500: #6b7280;
+            --gray-700: #374151;
+            --gray-900: #111827;
+        }
+        body {
+            font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, sans-serif;
+            background-color: var(--gray-50);
+            color: var(--gray-900);
+            line-height: 1.6;
+        }
+        .header {
+            background: linear-gradient(135deg, var(--primary) 0%, var(--primary-dark) 100%);
+            color: white;
+            padding: 1rem 2rem;
+            box-shadow: 0 2px 4px rgba(0,0,0,0.1);
+        }
+        .header-content {
+            max-width: 1400px;
+            margin: 0 auto;
+            display: flex;
+            justify-content: space-between;
+            align-items: center;
+        }
+        .logo { font-size: 1.5rem; font-weight: 700; }
+        .logo span { opacity: 0.8; font-weight: 400; }
+        .nav-links { display: flex; gap: 1.5rem; }
+        .nav-links a { color: white; text-decoration: none; opacity: 0.9; }
+        .nav-links a:hover { opacity: 1; }
+        .nav-links a.active { border-bottom: 2px solid white; }
+        .container { max-width: 1400px; margin: 0 auto; padding: 2rem; }
+        .btn {
+            display: inline-flex;
+            align-items: center;
+            gap: 0.5rem;
+            padding: 0.75rem 1.5rem;
+            border-radius: 8px;
+            font-weight: 500;
+            cursor: pointer;
+            transition: all 0.2s;
+            border: none;
+            font-size: 1rem;
+        }
+        .btn-primary { background-color: var(--primary); color: white; }
+        .btn-primary:hover { background-color: var(--primary-dark); }
+        .btn-outline { background: transparent; border: 1px solid var(--gray-300); color: var(--gray-700); }
+        .btn-outline:hover { background-color: var(--gray-50); }
+        .btn-success { background-color: var(--success); color: white; }
+        .btn-danger { background-color: var(--danger); color: white; }
+        .card {
+            background: white;
+            border-radius: 12px;
+            padding: 1.5rem;
+            box-shadow: 0 1px 3px rgba(0,0,0,0.1);
+            margin-bottom: 1.5rem;
+        }
+        .card-title { font-size: 1.25rem; font-weight: 600; margin-bottom: 1rem; }
+        .alert {
+            padding: 1rem;
+            border-radius: 8px;
+            margin-bottom: 1rem;
+        }
+        .alert-success { background: #d1fae5; color: #065f46; }
+        .alert-error { background: #fee2e2; color: #991b1b; }
+        .alert-warning { background: #fef3c7; color: #92400e; }
+        .tag {
+            display: inline-flex;
+            padding: 0.25rem 0.75rem;
+            border-radius: 9999px;
+            font-size: 0.75rem;
+            font-weight: 500;
+        }
+        .tag-success { background: #d1fae5; color: #065f46; }
+        .tag-warning { background: #fef3c7; color: #92400e; }
+        .tag-danger { background: #fee2e2; color: #991b1b; }
+        .spinner {
+            width: 20px; height: 20px;
+            border: 2px solid var(--gray-200);
+            border-top-color: var(--primary);
+            border-radius: 50%;
+            animation: spin 1s linear infinite;
+        }
+        @keyframes spin { to { transform: rotate(360deg); } }
+        @media (max-width: 768px) {
+            .container { padding: 1rem; }
+            .header-content { flex-direction: column; gap: 1rem; }
+        }
+    </style>
+    {% block extra_css %}{% endblock %}
+</head>
+<body>
+    <header class="header">
+        <div class="header-content">
+            <div class="logo">DIT <span>智能分析系統</span></div>
+            <nav class="nav-links">
+                <a href="{{ url_for('main.dashboard') }}" class="{% if request.endpoint == 'main.dashboard' %}active{% endif %}">儀表板</a>
+                <a href="{{ url_for('main.upload') }}" class="{% if request.endpoint == 'main.upload' %}active{% endif %}">上傳分析</a>
+                <a href="{{ url_for('main.history') }}" class="{% if request.endpoint == 'main.history' %}active{% endif %}">歷史記錄</a>
+            </nav>
+        </div>
+    </header>
+    <div class="container">
+        {% with messages = get_flashed_messages(with_categories=true) %}
+            {% if messages %}
+                {% for category, message in messages %}
+                    <div class="alert alert-{{ category }}">{{ message }}</div>
+                {% endfor %}
+            {% endif %}
+        {% endwith %}
+        {% block content %}{% endblock %}
+    </div>
+    {% block extra_js %}{% endblock %}
+</body>
+</html>
--- a/DIT_C/templates/dashboard.html
+++ b/DIT_C/templates/dashboard.html
@@ -0,0 +1,233 @@
+{% extends "base.html" %}
+{% block title %}儀表板 - DIT 智能分析系統{% endblock %}
+
+{% block extra_css %}
+<style>
+    .stats-grid {
+        display: grid;
+        grid-template-columns: repeat(auto-fit, minmax(200px, 1fr));
+        gap: 1rem;
+        margin-bottom: 2rem;
+    }
+    .stat-card {
+        background: white;
+        border-radius: 12px;
+        padding: 1.5rem;
+        box-shadow: 0 1px 3px rgba(0,0,0,0.1);
+    }
+    .stat-label { color: var(--gray-500); font-size: 0.875rem; margin-bottom: 0.5rem; }
+    .stat-value { font-size: 2rem; font-weight: 700; }
+    .stat-value.success { color: var(--success); }
+    .stat-value.warning { color: var(--warning); }
+    .stat-value.danger { color: var(--danger); }
+    .action-cards-grid {
+        display: grid;
+        grid-template-columns: repeat(auto-fit, minmax(400px, 1fr));
+        gap: 1.5rem;
+    }
+    .action-card {
+        background: white;
+        border-radius: 12px;
+        overflow: hidden;
+        box-shadow: 0 1px 3px rgba(0,0,0,0.1);
+        transition: transform 0.2s;
+    }
+    .action-card:hover { transform: translateY(-2px); }
+    .action-card-header {
+        padding: 1rem 1.5rem;
+        display: flex;
+        align-items: center;
+        gap: 0.75rem;
+    }
+    .action-card-header.resource {
+        background: linear-gradient(135deg, #fef3c7 0%, #fde68a 100%);
+    }
+    .action-card-header.stagnant {
+        background: linear-gradient(135deg, #fee2e2 0%, #fecaca 100%);
+    }
+    .action-card-icon {
+        width: 40px; height: 40px;
+        border-radius: 8px;
+        display: flex;
+        align-items: center;
+        justify-content: center;
+        font-size: 1.25rem;
+    }
+    .action-card-header.resource .action-card-icon { background: #f59e0b; color: white; }
+    .action-card-header.stagnant .action-card-icon { background: #ef4444; color: white; }
+    .action-card-body { padding: 1.5rem; }
+    .action-card-metrics {
+        display: grid;
+        grid-template-columns: repeat(2, 1fr);
+        gap: 1rem;
+        margin-bottom: 1rem;
+    }
+    .metric {
+        padding: 0.75rem;
+        background: var(--gray-50);
+        border-radius: 8px;
+    }
+    .metric-label { font-size: 0.75rem; color: var(--gray-500); text-transform: uppercase; }
+    .metric-value { font-size: 1.125rem; font-weight: 600; }
+    .action-card-suggestion {
+        padding: 1rem;
+        background: #f0f9ff;
+        border-left: 4px solid var(--primary);
+        border-radius: 0 8px 8px 0;
+        font-size: 0.875rem;
+    }
+    .action-card-footer {
+        padding: 1rem 1.5rem;
+        border-top: 1px solid var(--gray-100);
+        display: flex;
+        justify-content: flex-end;
+        gap: 0.75rem;
+    }
+    .section-title {
+        display: flex;
+        justify-content: space-between;
+        align-items: center;
+        margin-bottom: 1.5rem;
+    }
+    .section-title h2 { font-size: 1.25rem; font-weight: 600; }
+    .empty-state {
+        text-align: center;
+        padding: 4rem;
+        color: var(--gray-500);
+    }
+</style>
+{% endblock %}
+
+{% block content %}
+<!-- Stats -->
+<div class="stats-grid">
+    <div class="stat-card">
+        <div class="stat-label">總案件數</div>
+        <div class="stat-value">{{ summary.total_records if summary else 0 }}</div>
+    </div>
+    <div class="stat-card">
+        <div class="stat-label">總潛在金額</div>
+        <div class="stat-value">{{ summary.total_value if summary else '$0' }}</div>
+    </div>
+    <div class="stat-card">
+        <div class="stat-label">整體勝率</div>
+        <div class="stat-value success">{{ summary.win_rate if summary else '0%' }}</div>
+    </div>
+    <div class="stat-card">
+        <div class="stat-label">待處理警示</div>
+        <div class="stat-value danger">{{ total_alerts if total_alerts else 0 }}</div>
+    </div>
+</div>
+
+<!-- Action Cards -->
+<div class="section-title">
+    <h2>行動建議卡片</h2>
+    {% if total_alerts %}
+    <span class="tag tag-danger">{{ total_alerts }} 項待處理</span>
+    {% endif %}
+</div>
+
+{% if action_cards %}
+<div class="action-cards-grid">
+    {% for card in action_cards.resource_allocation %}
+    <div class="action-card">
+        <div class="action-card-header resource">
+            <div class="action-card-icon">💰</div>
+            <div>
+                <div style="font-weight: 600;">{{ card.title }}</div>
+                <div style="font-size: 0.875rem; color: var(--gray-500);">Feature 6.2</div>
+            </div>
+        </div>
+        <div class="action-card-body">
+            <div class="action-card-metrics">
+                <div class="metric">
+                    <div class="metric-label">應用領域</div>
+                    <div class="metric-value">{{ card.application }}</div>
+                </div>
+                <div class="metric">
+                    <div class="metric-label">潛在金額</div>
+                    <div class="metric-value">{{ card.money }}</div>
+                </div>
+                <div class="metric">
+                    <div class="metric-label">勝率</div>
+                    <div class="metric-value" style="color: var(--danger);">{{ card.win_rate }}%</div>
+                </div>
+                <div class="metric">
+                    <div class="metric-label">Top 客戶</div>
+                    <div class="metric-value" style="font-size: 0.875rem;">{{ card.top_accounts | join(', ') }}</div>
+                </div>
+            </div>
+            <div class="action-card-suggestion">
+                <strong>建議：</strong>{{ card.suggestion }}
+            </div>
+        </div>
+        <div class="action-card-footer">
+            <button class="btn btn-outline" onclick="markResolved({{ card.id if card.id else 0 }})">標記已處理</button>
+        </div>
+    </div>
+    {% endfor %}
+
+    {% for card in action_cards.stagnant_deals %}
+    <div class="action-card">
+        <div class="action-card-header stagnant">
+            <div class="action-card-icon">⏰</div>
+            <div>
+                <div style="font-weight: 600;">{{ card.title }}</div>
+                <div style="font-size: 0.875rem; color: var(--gray-500);">Feature 6.3</div>
+            </div>
+        </div>
+        <div class="action-card-body">
+            <div class="action-card-metrics">
+                <div class="metric">
+                    <div class="metric-label">客戶</div>
+                    <div class="metric-value">{{ card.account }}</div>
+                </div>
+                <div class="metric">
+                    <div class="metric-label">專案</div>
+                    <div class="metric-value">{{ card.project }}</div>
+                </div>
+                <div class="metric">
+                    <div class="metric-label">承認日期</div>
+                    <div class="metric-value">{{ card.approved_date }}</div>
+                </div>
+                <div class="metric">
+                    <div class="metric-label">呆滯天數</div>
+                    <div class="metric-value" style="color: var(--danger);">{{ card.days_pending }} 天</div>
+                </div>
+            </div>
+            <div class="action-card-suggestion">
+                <strong>建議：</strong>{{ card.suggestion }}
+            </div>
+        </div>
+        <div class="action-card-footer">
+            <button class="btn btn-outline" onclick="markResolved({{ card.id if card.id else 0 }})">標記已處理</button>
+        </div>
+    </div>
+    {% endfor %}
+</div>
+{% else %}
+<div class="card">
+    <div class="empty-state">
+        <div style="font-size: 3rem; margin-bottom: 1rem;">📊</div>
+        <p>尚無分析結果</p>
+        <p style="margin-top: 0.5rem;"><a href="{{ url_for('main.upload') }}" class="btn btn-primary" style="margin-top: 1rem;">上傳 CSV 開始分析</a></p>
+    </div>
+</div>
+{% endif %}
+{% endblock %}
+
+{% block extra_js %}
+<script>
+function markResolved(cardId) {
+    if (confirm('確定要標記此項目為已處理嗎？')) {
+        fetch('/api/action-card/' + cardId + '/resolve', { method: 'POST' })
+            .then(r => r.json())
+            .then(data => {
+                if (data.status === 'success') {
+                    location.reload();
+                }
+            });
+    }
+}
+</script>
+{% endblock %}
--- a/DIT_C/templates/history.html
+++ b/DIT_C/templates/history.html
@@ -0,0 +1,93 @@
+{% extends "base.html" %}
+{% block title %}歷史記錄 - DIT 智能分析系統{% endblock %}
+
+{% block extra_css %}
+<style>
+    .table-container {
+        background: white;
+        border-radius: 12px;
+        overflow: hidden;
+        box-shadow: 0 1px 3px rgba(0,0,0,0.1);
+    }
+    .table-header {
+        padding: 1rem 1.5rem;
+        border-bottom: 1px solid var(--gray-200);
+        display: flex;
+        justify-content: space-between;
+        align-items: center;
+    }
+    table { width: 100%; border-collapse: collapse; }
+    th, td { padding: 1rem 1.5rem; text-align: left; }
+    th {
+        background: var(--gray-50);
+        font-weight: 500;
+        color: var(--gray-500);
+        font-size: 0.875rem;
+        text-transform: uppercase;
+    }
+    tr:not(:last-child) td { border-bottom: 1px solid var(--gray-100); }
+    tr:hover td { background: var(--gray-50); }
+    .empty-state { text-align: center; padding: 4rem; color: var(--gray-500); }
+</style>
+{% endblock %}
+
+{% block content %}
+<h1 style="margin-bottom: 1.5rem;">上傳歷史記錄</h1>
+
+<div class="table-container">
+    <div class="table-header">
+        <span style="font-weight: 600;">分析記錄</span>
+        <button class="btn btn-outline" onclick="location.href='{{ url_for('main.upload') }}'">新增分析</button>
+    </div>
+    {% if uploads %}
+    <table>
+        <thead>
+            <tr>
+                <th>檔案名稱</th>
+                <th>記錄數</th>
+                <th>總金額</th>
+                <th>上傳時間</th>
+                <th>狀態</th>
+                <th>操作</th>
+            </tr>
+        </thead>
+        <tbody>
+            {% for upload in uploads %}
+            <tr>
+                <td><strong>{{ upload.filename }}</strong></td>
+                <td>{{ upload.record_count or '-' }}</td>
+                <td>{{ '$%s' % '{:,.0f}'.format(upload.total_value) if upload.total_value else '-' }}</td>
+                <td>{{ upload.uploaded_at.strftime('%Y-%m-%d %H:%M') }}</td>
+                <td>
+                    {% if upload.status == 'completed' %}
+                    <span class="tag tag-success">完成</span>
+                    {% elif upload.status == 'failed' %}
+                    <span class="tag tag-danger">失敗</span>
+                    {% else %}
+                    <span class="tag tag-warning">處理中</span>
+                    {% endif %}
+                </td>
+                <td>
+                    <button class="btn btn-outline" style="padding: 0.5rem 1rem; font-size: 0.875rem;" onclick="viewResult({{ upload.id }})">查看</button>
+                </td>
+            </tr>
+            {% endfor %}
+        </tbody>
+    </table>
+    {% else %}
+    <div class="empty-state">
+        <div style="font-size: 3rem; margin-bottom: 1rem;">📋</div>
+        <p>尚無上傳記錄</p>
+        <a href="{{ url_for('main.upload') }}" class="btn btn-primary" style="margin-top: 1rem;">開始上傳</a>
+    </div>
+    {% endif %}
+</div>
+{% endblock %}
+
+{% block extra_js %}
+<script>
+function viewResult(uploadId) {
+    window.location.href = '/result/' + uploadId;
+}
+</script>
+{% endblock %}
--- a/DIT_C/templates/upload.html
+++ b/DIT_C/templates/upload.html
@@ -0,0 +1,246 @@
+{% extends "base.html" %}
+{% block title %}上傳分析 - DIT 智能分析系統{% endblock %}
+
+{% block extra_css %}
+<style>
+    .upload-zone {
+        border: 2px dashed var(--gray-300);
+        border-radius: 12px;
+        padding: 4rem;
+        text-align: center;
+        cursor: pointer;
+        transition: all 0.2s;
+        background: white;
+    }
+    .upload-zone:hover, .upload-zone.dragover {
+        border-color: var(--primary);
+        background: #eff6ff;
+    }
+    .upload-icon { font-size: 4rem; margin-bottom: 1rem; }
+    .upload-text { color: var(--gray-700); margin-bottom: 0.5rem; font-size: 1.125rem; }
+    .upload-hint { color: var(--gray-500); font-size: 0.875rem; }
+    .params-card {
+        background: white;
+        border-radius: 12px;
+        padding: 1.5rem;
+        margin-top: 1.5rem;
+        box-shadow: 0 1px 3px rgba(0,0,0,0.1);
+    }
+    .params-grid {
+        display: grid;
+        grid-template-columns: repeat(auto-fit, minmax(200px, 1fr));
+        gap: 1.5rem;
+        margin-top: 1rem;
+    }
+    .param-group label {
+        display: block;
+        font-size: 0.875rem;
+        color: var(--gray-500);
+        margin-bottom: 0.5rem;
+    }
+    .param-group input, .param-group select {
+        width: 100%;
+        padding: 0.75rem;
+        border: 1px solid var(--gray-300);
+        border-radius: 8px;
+        font-size: 1rem;
+    }
+    .param-group input:focus, .param-group select:focus {
+        outline: none;
+        border-color: var(--primary);
+        box-shadow: 0 0 0 3px rgba(37, 99, 235, 0.1);
+    }
+    .results-section { margin-top: 2rem; display: none; }
+    .results-section.show { display: block; }
+    .loading-overlay {
+        position: fixed;
+        top: 0; left: 0; right: 0; bottom: 0;
+        background: rgba(0,0,0,0.5);
+        display: none;
+        align-items: center;
+        justify-content: center;
+        z-index: 1000;
+    }
+    .loading-overlay.show { display: flex; }
+    .loading-box {
+        background: white;
+        padding: 2rem 3rem;
+        border-radius: 12px;
+        text-align: center;
+    }
+    .loading-box .spinner {
+        width: 40px; height: 40px;
+        margin: 0 auto 1rem;
+    }
+</style>
+{% endblock %}
+
+{% block content %}
+<h1 style="margin-bottom: 1.5rem;">上傳 DIT 報表分析</h1>
+
+<form id="uploadForm" enctype="multipart/form-data">
+    <div class="upload-zone" id="uploadZone">
+        <div class="upload-icon" id="uploadIcon">📁</div>
+        <div class="upload-text" id="uploadText">拖曳檔案至此處，或點擊選擇檔案</div>
+        <div class="upload-hint">支援 CSV 及 XLSX (Excel) 格式</div>
+        <input type="file" id="fileInput" name="file" accept=".csv,.xlsx" hidden>
+    </div>
+
+    <div class="params-card">
+        <h3>分析參數設定</h3>
+        <div class="params-grid">
+            <div class="param-group">
+                <label>金額 Top 百分比 (%)</label>
+                <input type="number" name="top_percent" id="topPercent" value="20" min="1" max="100">
+            </div>
+            <div class="param-group">
+                <label>低勝率門檻 (%)</label>
+                <input type="number" name="low_win_rate" id="lowWinRate" value="10" min="1" max="100">
+            </div>
+            <div class="param-group">
+                <label>呆滯天數門檻</label>
+                <input type="number" name="threshold_days" id="thresholdDays" value="60" min="1">
+            </div>
+        </div>
+        <div style="margin-top: 1.5rem; display: flex; gap: 1rem;">
+            <button type="submit" class="btn btn-primary" id="analyzeBtn" disabled>開始分析</button>
+            <button type="button" class="btn btn-outline" onclick="document.getElementById('fileInput').click()">選擇檔案</button>
+        </div>
+    </div>
+</form>
+
+<div class="results-section" id="resultsSection">
+    <h2 style="margin-bottom: 1rem;">分析結果</h2>
+    <div id="resultsContent"></div>
+</div>
+
+<div class="loading-overlay" id="loadingOverlay">
+    <div class="loading-box">
+        <div class="spinner"></div>
+        <div>正在分析中，請稍候...</div>
+    </div>
+</div>
+{% endblock %}
+
+{% block extra_js %}
+<script>
+const uploadZone = document.getElementById('uploadZone');
+const fileInput = document.getElementById('fileInput');
+const uploadIcon = document.getElementById('uploadIcon');
+const uploadText = document.getElementById('uploadText');
+const analyzeBtn = document.getElementById('analyzeBtn');
+const uploadForm = document.getElementById('uploadForm');
+const loadingOverlay = document.getElementById('loadingOverlay');
+const resultsSection = document.getElementById('resultsSection');
+const resultsContent = document.getElementById('resultsContent');
+
+let selectedFile = null;
+
+uploadZone.addEventListener('click', () => fileInput.click());
+uploadZone.addEventListener('dragover', (e) => { e.preventDefault(); uploadZone.classList.add('dragover'); });
+uploadZone.addEventListener('dragleave', () => uploadZone.classList.remove('dragover'));
+uploadZone.addEventListener('drop', (e) => {
+    e.preventDefault();
+    uploadZone.classList.remove('dragover');
+    if (e.dataTransfer.files.length > 0) handleFile(e.dataTransfer.files[0]);
+});
+fileInput.addEventListener('change', (e) => { if (e.target.files.length > 0) handleFile(e.target.files[0]); });
+
+function handleFile(file) {
+    const ext = file.name.toLowerCase();
+    if (!ext.endsWith('.csv') && !ext.endsWith('.xlsx')) {
+        alert('請上傳 CSV 或 XLSX 格式檔案');
+        return;
+    }
+    selectedFile = file;
+    uploadIcon.textContent = '✅';
+    uploadText.textContent = '已選擇: ' + file.name;
+    analyzeBtn.disabled = false;
+}
+
+uploadForm.addEventListener('submit', async (e) => {
+    e.preventDefault();
+    if (!selectedFile) return;
+
+    loadingOverlay.classList.add('show');
+
+    const formData = new FormData();
+    formData.append('file', selectedFile);
+    formData.append('top_percent', document.getElementById('topPercent').value / 100);
+    formData.append('low_win_rate', document.getElementById('lowWinRate').value / 100);
+    formData.append('threshold_days', document.getElementById('thresholdDays').value);
+
+    try {
+        const response = await fetch('/api/analyze', {
+            method: 'POST',
+            body: formData
+        });
+        const data = await response.json();
+
+        loadingOverlay.classList.remove('show');
+
+        if (data.status === 'success') {
+            displayResults(data.data);
+        } else {
+            alert('分析失敗: ' + data.error);
+        }
+    } catch (err) {
+        loadingOverlay.classList.remove('show');
+        alert('請求失敗: ' + err.message);
+    }
+});
+
+function displayResults(data) {
+    resultsSection.classList.add('show');
+
+    let html = `
+        <div class="card">
+            <h3>統計摘要</h3>
+            <div style="display: grid; grid-template-columns: repeat(auto-fit, minmax(150px, 1fr)); gap: 1rem; margin-top: 1rem;">
+                <div><div style="color: var(--gray-500); font-size: 0.875rem;">總案件數</div><div style="font-size: 1.5rem; font-weight: 600;">${data.summary.total_records}</div></div>
+                <div><div style="color: var(--gray-500); font-size: 0.875rem;">總金額</div><div style="font-size: 1.5rem; font-weight: 600;">${data.summary.total_value}</div></div>
+                <div><div style="color: var(--gray-500); font-size: 0.875rem;">勝率</div><div style="font-size: 1.5rem; font-weight: 600; color: var(--success);">${data.summary.win_rate}</div></div>
+                <div><div style="color: var(--gray-500); font-size: 0.875rem;">警示數</div><div style="font-size: 1.5rem; font-weight: 600; color: var(--danger);">${data.total_alerts}</div></div>
+            </div>
+        </div>
+
+        <h3 style="margin: 1.5rem 0 1rem;">高價值資源分配建議 (${data.action_cards.resource_allocation.length})</h3>
+    `;
+
+    data.action_cards.resource_allocation.forEach(card => {
+        html += `
+            <div class="card" style="border-left: 4px solid var(--warning);">
+                <div style="display: flex; justify-content: space-between; align-items: start;">
+                    <div>
+                        <strong>${card.application}</strong>
+                        <div style="color: var(--gray-500); font-size: 0.875rem;">潛在金額: ${card.money} | 勝率: ${card.win_rate}%</div>
+                    </div>
+                    <span class="tag tag-warning">需關注</span>
+                </div>
+                <p style="margin-top: 0.75rem; font-size: 0.875rem;">${card.suggestion}</p>
+            </div>
+        `;
+    });
+
+    html += `<h3 style="margin: 1.5rem 0 1rem;">呆滯案件警示 (${data.action_cards.stagnant_deals.length})</h3>`;
+
+    data.action_cards.stagnant_deals.forEach(card => {
+        html += `
+            <div class="card" style="border-left: 4px solid var(--danger);">
+                <div style="display: flex; justify-content: space-between; align-items: start;">
+                    <div>
+                        <strong>${card.account}</strong> - ${card.project}
+                        <div style="color: var(--gray-500); font-size: 0.875rem;">承認日期: ${card.approved_date} | 呆滯: ${card.days_pending} 天</div>
+                    </div>
+                    <span class="tag tag-danger">呆滯</span>
+                </div>
+                <p style="margin-top: 0.75rem; font-size: 0.875rem;">${card.suggestion}</p>
+            </div>
+        `;
+    });
+
+    resultsContent.innerHTML = html;
+    resultsSection.scrollIntoView({ behavior: 'smooth' });
+}
+</script>
+{% endblock %}
--- a/DIT_C/tests/init.py
+++ b/DIT_C/tests/init.py
--- a/DIT_C/tests/test_dit_analyzer.py
+++ b/DIT_C/tests/test_dit_analyzer.py
@@ -0,0 +1,153 @@
+"""
+DITAnalyzer Test Script
+"""
+
+import sys
+import os
+sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
+
+import pandas as pd
+from datetime import datetime, timedelta
+from services.dit_analyzer import DITAnalyzer, DITAnalyzerError
+
+
+def create_sample_data():
+    """Create sample test data"""
+    days_ago_90 = datetime.now() - timedelta(days=90)
+    days_ago_30 = datetime.now() - timedelta(days=30)
+
+    data = {
+        'Created Date': ['2024-01-01', '2024-02-01', '2024-03-01', '2024-04-01', '2024-05-01',
+                         '2024-01-15', '2024-02-15', '2024-03-15', '2024-04-15', '2024-05-15'],
+        'Account Name': ['CustomerA', 'CustomerB', 'CustomerA', 'CustomerC', 'CustomerD',
+                         'CustomerE', 'CustomerF', 'CustomerA', 'CustomerG', 'CustomerH'],
+        'Stage': ['Won', 'Opportunity Lost', 'Negotiation', 'Won', 'Design-Lost',
+                  'Negotiation', 'Mass Production', 'Opportunity Lost', 'Negotiation', 'Won'],
+        'Application': ['Automotive', '', 'Automotive', 'IoT', '',
+                        'Automotive', 'Consumer', '', 'Industrial', 'Automotive'],
+        'Application Detail': ['', 'Consumer Electronics', '', '', 'Smart Home',
+                               '', '', 'Power Supply', '', ''],
+        'Opportunity Name': ['Project Alpha', 'Project Beta', 'Project Gamma', 'Project Delta', 'Project Epsilon',
+                             'Project Zeta', 'Project Eta', 'Project Theta', 'Project Iota', 'Project Kappa'],
+        'Total Price': [500000, 300000, 800000, 150000, 200000,
+                        1200000, 50000, 100000, 450000, 600000],
+        'Approved date': [None, None, days_ago_90.strftime('%Y-%m-%d'), None, None,
+                          days_ago_90.strftime('%Y-%m-%d'), None, None, days_ago_30.strftime('%Y-%m-%d'), None],
+        'Lost Type': ['', 'Price', '', '', 'Spec',
+                      '', '', 'Price', '', '']
+    }
+
+    return pd.DataFrame(data)
+
+
+def test_preprocess():
+    """Test data preprocessing"""
+    print("=" * 50)
+    print("Test 1: Data Preprocessing")
+    print("=" * 50)
+
+    df = create_sample_data()
+    analyzer = DITAnalyzer(dataframe=df)
+
+    processed_df = analyzer.get_dataframe()
+
+    print(f"Total records: {len(processed_df)}")
+    print(f"Columns: {list(processed_df.columns)}")
+
+    assert 'Derived_Application' in processed_df.columns
+    assert 'Is_Lost' in processed_df.columns
+    assert 'Is_Active' in processed_df.columns
+    print("\n[PASS] Preprocess test passed!")
+
+
+def test_resource_allocation():
+    """Test Feature 6.2: High Value Resource Allocation"""
+    print("\n" + "=" * 50)
+    print("Test 2: Feature 6.2 Resource Allocation")
+    print("=" * 50)
+
+    df = create_sample_data()
+    analyzer = DITAnalyzer(dataframe=df)
+
+    results = analyzer.analyze_resource_allocation(top_percent=0.5, low_win_rate=0.5)
+
+    print(f"Found {len(results)} high-value low-win-rate applications")
+    for card in results:
+        print(f"\n[CARD] {card['title']}")
+        print(f"   Application: {card['application']}")
+        print(f"   Potential Value: {card['money']}")
+        print(f"   Win Rate: {card['win_rate']}%")
+
+    print("\n[PASS] Resource allocation test passed!")
+
+
+def test_stagnant_deals():
+    """Test Feature 6.3: Stagnant Deal Alert"""
+    print("\n" + "=" * 50)
+    print("Test 3: Feature 6.3 Stagnant Deals")
+    print("=" * 50)
+
+    df = create_sample_data()
+    analyzer = DITAnalyzer(dataframe=df)
+
+    results = analyzer.analyze_stagnant_deals(threshold_days=60)
+
+    print(f"Found {len(results)} stagnant deals")
+    for card in results:
+        print(f"\n[ALERT] {card['title']}")
+        print(f"   Account: {card['account']}")
+        print(f"   Project: {card['project']}")
+        print(f"   Days Pending: {card['days_pending']}")
+
+    print("\n[PASS] Stagnant deals test passed!")
+
+
+def test_full_report():
+    """Test full report generation"""
+    print("\n" + "=" * 50)
+    print("Test 4: Full Report Generation")
+    print("=" * 50)
+
+    df = create_sample_data()
+    analyzer = DITAnalyzer(dataframe=df)
+
+    report = analyzer.generate_report(top_percent=0.5, low_win_rate=0.5, threshold_days=60)
+
+    print(f"\n[REPORT] Generated at: {report['generated_at']}")
+    summary = report['summary']
+    print(f"   Total Records: {summary['total_records']}")
+    print(f"   Total Value: {summary['total_value']}")
+    print(f"   Win Rate: {summary['win_rate']}")
+
+    print(f"\n[ACTION CARDS] Total: {report['total_alerts']}")
+    print(f"   - Resource Allocation: {len(report['action_cards']['resource_allocation'])}")
+    print(f"   - Stagnant Deals: {len(report['action_cards']['stagnant_deals'])}")
+
+    print("\n[PASS] Full report test passed!")
+
+
+def main():
+    """Run all tests"""
+    print("\n[START] DITAnalyzer Test Suite\n")
+
+    try:
+        test_preprocess()
+        test_resource_allocation()
+        test_stagnant_deals()
+        test_full_report()
+
+        print("\n" + "=" * 50)
+        print("[SUCCESS] All tests passed!")
+        print("=" * 50)
+
+    except Exception as e:
+        print(f"\n[FAIL] Test failed: {e}")
+        import traceback
+        traceback.print_exc()
+        return 1
+
+    return 0
+
+
+if __name__ == '__main__':
+    exit(main())
--- a/DIT_C/utils/init.py
+++ b/DIT_C/utils/init.py
@@ -0,0 +1 @@
+# Utils module
--- a/testsinit.py
+++ b/testsinit.py
--- a/(2).pdf
+++ b/(2).pdf