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feb7cb9004
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bfc477bedc
| Author | SHA1 | Date | |
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| bfc477bedc | |||
| 604c29403f |
68
analyze.py
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68
analyze.py
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import os
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import re
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import unicodedata
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from pypdf import PdfReader
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try:
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import pytesseract
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from pdf2image import convert_from_path
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from PIL import Image
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TESSERACT_PATH = r'C:\Users\User\AppData\Local\Programs\Tesseract-OCR esseract.exe'
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POPPLER_PATH = r'D:\이태훈\00크롬다운로드\poppler-25.12.0\Library\bin'
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pytesseract.pytesseract.tesseract_cmd = TESSERACT_PATH
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OCR_AVAILABLE = True
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except ImportError:
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OCR_AVAILABLE = False
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def analyze_file_content(filename: str):
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file_path = os.path.join("sample", filename)
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if not os.path.exists(file_path):
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return {"error": "File not found"}
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content_parts = []
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log_steps = []
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try:
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if filename.lower().endswith(".pdf"):
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log_steps.append("1. 레이어: 파일 제목 분석 중...")
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log_steps.append("2. 레이어: PDF 텍스트 엔진 가동...")
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reader = PdfReader(file_path)
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text_extracted = ""
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for page in reader.pages[:5]:
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text = page.extract_text()
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if text: text_extracted += text + "
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"
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if text_extracted.strip():
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content_parts.append(unicodedata.normalize('NFC', text_extracted))
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log_steps.append("3. 레이어: OCR 이미지 스캔 강제 실행...")
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if OCR_AVAILABLE and os.path.exists(TESSERACT_PATH):
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images = convert_from_path(file_path, first_page=1, last_page=2, poppler_path=POPPLER_PATH)
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for i, img in enumerate(images):
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page_text = pytesseract.image_to_string(img, lang='kor+eng')
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content_parts.append(unicodedata.normalize('NFC', page_text))
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else:
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with open(file_path, "r", encoding="utf-8", errors="ignore") as f:
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content_parts.append(unicodedata.normalize('NFC', f.read(5000)))
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except: pass
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full_content = "
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".join(content_parts)
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search_pool = (full_content + " " + filename).lower().replace(" ", "").replace("
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", "")
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result = {
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"suggested_path": "분석실패",
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"confidence": "Low",
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"log_steps": log_steps,
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"raw_text": full_content,
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"reason": "일치 키워드 없음"
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}
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if "실정보고" in search_pool:
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if any(k in search_pool for k in ["어천", "공주"]):
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if "품질" in search_pool: result["suggested_path"] = "설계변경 > 실정보고(어천~공주) > 품질관리"
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else: result["suggested_path"] = "설계변경 > 실정보고(어천~공주) > 기타"
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result["confidence"] = "100%"
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result["reason"] = "3중 레이어 분석: 실정보고+어천공주 키워드 통합 검출"
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return result
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21
index.html
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21
index.html
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<!DOCTYPE html>
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<html lang="ko">
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<head>
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<meta charset="UTF-8">
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<meta name="viewport" content="width=device-width, initial-scale=1.0">
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<title>Project Master Portal</title>
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<link rel="stylesheet" as="style" crossorigin href="https://cdn.jsdelivr.net/gh/orioncactus/pretendard@v1.3.9/dist/web/static/pretendard.min.css" />
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<link rel="stylesheet" href="style/style.css">
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</head>
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<body>
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<nav class="topbar">
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<div class="topbar-header"><a href="/"><h2>Project Master Test</h2></a></div>
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</nav>
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<div class="portal-container">
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<div class="button-grid" style="display:grid; grid-template-columns:repeat(2, 1fr); gap:30px;">
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<a href="/dashboard" class="portal-card"><div class="icon">📊</div><h2>대시보드</h2></a>
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<a href="/mailTest" class="portal-card"><div class="icon">✉️</div><h2>메일 테스트</h2></a>
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</div>
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</div>
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</body>
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</html>
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87
mailTest.html
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87
mailTest.html
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<!DOCTYPE html>
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<html lang="ko">
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<head>
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<meta charset="UTF-8">
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<meta name="viewport" content="width=device-width, initial-scale=1.0">
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<title>Project Mail Manager</title>
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<link rel="stylesheet" as="style" crossorigin href="https://cdn.jsdelivr.net/gh/orioncactus/pretendard@v1.3.9/dist/web/static/pretendard.min.css" />
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<link rel="stylesheet" href="/style/style.css">
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</head>
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<body>
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<nav class="topbar">
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<div class="topbar-header"><a href="/"><h2>Project Master Test</h2></a></div>
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<ul class="nav-list">
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<li class="nav-item" onclick="location.href='/dashboard'">대시보드</li>
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<li class="nav-item active" onclick="location.href='/mailTest'">메일관리</li>
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</ul>
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</nav>
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<div class="mail-wrapper">
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<aside class="mail-sidebar">
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<select class="project-select"><option>라오스 ITTC 관개 교육센터</option></select>
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<ul class="folder-list"><li class="folder-item active"><span>📥 수신함</span></li></ul>
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</aside>
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<section class="mail-list-area">
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<div class="mail-items-container"><div class="mail-item active"><div>라오스 농림부</div><div>ITTC 교육센터 착공식 일정 협의</div></div></div>
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</section>
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<section class="mail-content-area">
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<div class="attachment-area">
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<div style="display:flex; justify-content:space-between;">
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<div>첨부파일 리스트</div>
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<div class="ai-toggle-wrap"><span class="ai-label">AI 판단</span><label class="switch"><input type="checkbox" id="aiToggle" checked onchange="renderFiles()"><span class="slider"></span></label></div>
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</div>
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<div id="attachmentList"></div>
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</div>
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</section>
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</div>
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<script>
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let currentFiles = [];
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async function loadAttachments() {
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const res = await fetch('/attachments');
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currentFiles = await res.json();
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renderFiles();
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}
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function renderFiles() {
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const isAiActive = document.getElementById('aiToggle').checked;
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const container = document.getElementById('attachmentList');
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container.innerHTML = '';
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currentFiles.forEach((file, index) => {
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const item = document.createElement('div');
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item.className = 'attachment-item-wrap';
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const btnAiClass = isAiActive ? 'btn-ai' : 'btn-normal';
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item.innerHTML = `
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<div class="attachment-item">
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<div class="file-info"><span>📄</span><div>${file.name}</div><span id="recommend-${index}" class="ai-recommend" style="display:none;"></span></div>
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<div class="btn-group">
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<button class="btn-upload ${btnAiClass}" onclick="startAnalysis(${index})">AI 분석</button>
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<button class="btn-upload btn-normal" onclick="confirmUpload(${index})">파일 업로드</button>
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</div>
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</div>
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<div id="log-area-${index}" class="file-log-area"><div id="log-content-${index}"></div></div>
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`;
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container.appendChild(item);
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});
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}
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async function startAnalysis(index) {
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const file = currentFiles[index];
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const logArea = document.getElementById(`log-area-${index}`);
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const logContent = document.getElementById(`log-content-${index}`);
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const recLabel = document.getElementById(`recommend-${index}`);
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logArea.classList.add('active');
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logContent.innerHTML = '>>> 분석 가동...';
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recLabel.style.display = 'inline-block';
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recLabel.innerText = '분석 중...';
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const res = await fetch(`/analyze-file?filename=${encodeURIComponent(file.name)}`);
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const analysis = await res.json();
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recLabel.innerText = `추천: ${analysis.suggested_path}`;
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logContent.innerHTML = `[결과] ${analysis.suggested_path}<br>└ ${analysis.reason}`;
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currentFiles[index].analysis = analysis;
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}
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function confirmUpload(index) {
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const file = currentFiles[index];
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const path = file.analysis ? file.analysis.suggested_path : "선택한 탭";
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if (confirm(`[${file.name}] 파일을 [${path}]로 업로드하시겠습니까?`)) alert("완료");
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}
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loadAttachments();
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</script>
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</body>
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</html>
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21
tokens.json
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21
tokens.json
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{
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"core": {
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"dimension": {
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"scale": { "$value": "2", "$type": "dimension" },
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"xs": { "$value": "4", "$type": "dimension" },
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"sm": { "$value": "8", "$type": "dimension" },
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"md": { "$value": "16", "$type": "dimension" },
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"lg": { "$value": "32", "$type": "dimension" },
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"xl": { "$value": "64", "$type": "dimension" }
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},
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"borderRadius": {
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"sm": { "$value": "4", "$type": "dimension" },
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"lg": { "$value": "8", "$type": "dimension" },
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"xl": { "$value": "16", "$type": "dimension" }
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},
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"color": {
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"primary-lv-0": { "$value": "#e9eeed", "$type": "color" },
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"primary-lv-6": { "$value": "#1e5149", "$type": "color" }
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}
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}
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}
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