Update app.py

app.py

@@ -11,7 +11,7 @@ import gradio as gr
 os.system("playwright install chromium")
 
 # ==========================================
-# 🛠️ 共用工具：翻譯與學名藥濾網
+# 🛠️ 共用工具：翻譯與進階學名藥濾網
 # ==========================================
 def translate_lang(text, target_lang):
     try:
@@ -22,14 +22,20 @@ def translate_lang(text, target_lang):
     return text
 
 def is_generic(brand_name, company_name, ingredient):
-    """通用學名藥濾網：排除成分名開頭或常見學名藥廠"""
+    """通用學名藥濾網：排除成分名開頭、常見學名藥廠、以及歐洲平行輸入商"""
     b_lower = brand_name.lower()
     c_lower = company_name.lower()
     i_lower = ingredient.lower()
     
-    generic_keywords = ['sandoz', 'teva', 'apotex', 'ratiopharm', 'jamp', 'mint', 'pharmascience', 'sanis', 'sivem', 
-                        'auro', 'glenmark', 'taro', 'marcan', 'nora', 'mantra', 'reddy', 'mepha', 'axapharm', 
-                        'helvepharm', 'zentiva', 'spirig', 'aliud', 'puren', 'stada', 'eg ', '- gé', 'biogaran', 'arrow', 'viatris', 'zydus']
+    # 新增德國平行輸入商 (Reimporte) 與法國/歐洲常見學名藥廠
+    generic_keywords = [
+        'sandoz', 'teva', 'apotex', 'ratiopharm', 'jamp', 'mint', 'pharmascience', 'sanis', 'sivem', 
+        'auro', 'glenmark', 'taro', 'marcan', 'nora', 'mantra', 'reddy', 'mepha', 'axapharm', 
+        'helvepharm', 'zentiva', 'spirig', 'aliud', 'puren', 'stada', 'eg ', '- gé', 'biogaran', 
+        'arrow', 'viatris', 'zydus', 'kohlpharma', 'eurim', 'abacus', 'emra', 'cc pharma', 
+        'orifarm', 'bb farma', 'fd pharma', 'mpa pharma', '1 4 u', '2care4', 'axicorp', 
+        'nattermann', '1 0 1 carefarm', 'haemato'
+    ]
     
     if b_lower.startswith(i_lower) or i_lower in b_lower: return True
     if any(gk in b_lower or gk in c_lower for gk in generic_keywords): return True
@@ -37,7 +43,6 @@ def is_generic(brand_name, company_name, ingredient):
     return False
 
 def clean_brand_name(raw_name):
-    """切除劑量、劑型等後綴，保留純商品名"""
     return re.split(r'(皮下注|錠|カプセル|顆粒|シロップ|OD|細粒|液|\d+)', raw_name)[0].replace('®', '').strip()
 
 # ==========================================
@@ -47,66 +52,113 @@ def get_usa_originator(ingredient):
     log, brands, companies = [], set(), set()
     try:
         session = curl_req.Session(impersonate="chrome120")
+        log.append("1. 發送 GET 請求獲取 FDA Session Cookies...")
+        res_get = session.get("https://www.accessdata.fda.gov/scripts/cder/ob/index.cfm", timeout=30, verify=False)
+        log.append(f"   -> 狀態碼: {res_get.status_code}, 內容長度: {len(res_get.text)}")
+
+        log.append("2. 發送 POST 請求提交搜尋...")
         payload = {"drugname": ingredient, "discontinued": "RX,OTC,DISCN", "submit": "Search"}
         res = session.post("https://www.accessdata.fda.gov/scripts/cder/ob/search_product.cfm", data=payload, timeout=30, verify=False)
+        log.append(f"   -> 狀態碼: {res.status_code}, 內容長度: {len(res.text)}")
+        
         soup = BeautifulSoup(res.text, 'html.parser')
         table = soup.find('table', id='example')
         if table:
+            rows = table.find('tbody').find_all('tr') if table.find('tbody') else table.find_all('tr')
+            log.append(f"3. 找到結果表格，共 {len(rows)} 列資料。")
             headers = [th.get_text(strip=True).lower() for th in table.find_all('th')]
             brand_idx = next((i for i, h in enumerate(headers) if 'proprietary name' in h), 2)
             rld_idx = next((i for i, h in enumerate(headers) if 'rld' in h), 8)
             mfg_idx = next((i for i, h in enumerate(headers) if 'applicant holder' in h), 10)
-            for tr in (table.find('tbody') or table).find_all('tr'):
+            
+            for tr in rows:
                 tds = tr.find_all('td')
                 if len(tds) > max(rld_idx, brand_idx) and "RLD" in tds[rld_idx].get_text(strip=True).upper():
                     brands.add(tds[brand_idx].get_text(strip=True))
                     if len(tds) > mfg_idx: companies.add(tds[mfg_idx].get_text(strip=True))
-        if brands: return ", ".join(brands), ", ".join(companies), "✅ 成功找到 RLD"
-        return "查無原廠", "-", "❌ 查無 RLD 或未核准"
-    except Exception as e: return "執行失敗", "-", str(e)
+        else:
+            log.append("❌ HTML 中未發現 table#example，可能是無此藥或被阻擋。")
+            
+        if brands: return ", ".join(brands), ", ".join(companies), "\n".join(log)
+        return "查無原廠", "-", "\n".join(log)
+    except Exception as e: return "執行失敗", "-", "\n".join(log) + f"\n錯誤: {str(e)}"
 
 def get_belgium_originator(ingredient):
+    """還原為您藥價工具中使用的 Test-Achats 後端 API 邏輯"""
     log, brands = [], set()
     try:
         session = curl_req.Session(impersonate="chrome120")
+        log.append("1. 連線至 Test-Achats 後端 API...")
         calc_id, ds = "5b55a713-dc8e-46bd-a82a-cea4641fb7b1", "c9852b22-1d58-4471-b8cc-a821763e821e"
         url = f"https://www.test-achats.be/CalculatorsAPI/Medicine/GetSearchResults/{calc_id}?datasource={ds}&term={quote(ingredient)}"
         res = session.get(url, headers={"X-Requested-With": "XMLHttpRequest"}, timeout=30, verify=False)
+        log.append(f"   -> API 狀態碼: {res.status_code}")
+        
+        exact_label = ingredient
         if res.status_code == 200:
-            for item in res.json():
+            json_data = res.json()
+            log.append(f"   -> API 回傳 {len(json_data)} 筆候選項目")
+            for item in json_data:
                 label = item.get('label', '')
-                if not is_generic(label, "", ingredient): brands.add(clean_brand_name(label))
-        if brands: return ", ".join(brands), "Test-achats 無藥廠資料", "✅ API 抓取成功"
-        return "查無原廠", "-", "❌ 皆為學名藥"
-    except Exception as e: return "執行失敗", "-", str(e)
+                if ingredient.lower() in label.lower():
+                    exact_label = label
+                    break
+        
+        log.append(f"2. 使用標籤 '{exact_label}' 請求劑型資料 (/dosage)...")
+        post_headers = {"Content-Type": "application/x-www-form-urlencoded", "X-Requested-With": "XMLHttpRequest"}
+        res_dosage = session.post("https://www.test-achats.be/sante/maladies-et-medicaments/medicaments/calculateur/banque-de-donnees-medicaments/dosage", data=f"LabelValue={quote(exact_label)}", headers=post_headers, timeout=30, verify=False)
+        log.append(f"   -> Dosage 狀態碼: {res_dosage.status_code}")
+        
+        soup = BeautifulSoup(res_dosage.text, 'html.parser')
+        trs = soup.find_all('tr', attrs={'data-galenicform': True})
+        log.append(f"3. 找到 {len(trs)} 筆實際藥品資料。")
+        
+        for tr in trs:
+            brand_tag = tr.find('a', class_='jq_detailPageLink') or tr.find('th', scope='row')
+            if brand_tag:
+                b_name = brand_tag.get_text(strip=True)
+                if not is_generic(b_name, "", ingredient):
+                    brands.add(clean_brand_name(b_name))
+                    
+        if brands: return ", ".join(brands), "Test-Achats 無藥廠", "\n".join(log)
+        return "查無原廠", "-", "\n".join(log)
+    except Exception as e: return "執行失敗", "-", "\n".join(log) + f"\n錯誤: {str(e)}"
 
 def get_france_originator(ingredient):
-    brands = set()
+    log, brands = [], set()
     try:
         session = curl_req.Session(impersonate="chrome120")
+        log.append("1. 發送 GET 至法國公共資料庫...")
         res = session.get(f"https://base-donnees-publique.medicaments.gouv.fr/medicament/recherche/resultat?contains={quote(ingredient)}", timeout=30, verify=False)
+        log.append(f"   -> 狀態碼: {res.status_code}, 內容長度: {len(res.text)}")
         soup = BeautifulSoup(res.text, 'html.parser')
         
-        # 🟢 確保使用精確的法國 DOM 解析邏輯
-        for div in soup.find_all('div', class_='result drug'):
+        divs = soup.find_all('div', class_='result drug')
+        log.append(f"2. 找到 {len(divs)} 筆 'result drug' 區塊。")
+        for div in divs:
             info_div = div.find('div', class_='infos')
             if info_div and info_div.find('a'):
                 title = info_div.find('a').get_text(strip=True)
                 if not is_generic(title, "", ingredient) and '- gé' not in title.lower():
                     brands.add(clean_brand_name(title))
                     
-        if brands: return ", ".join(brands), "法國公共資料庫", "✅ 成功找到非 Gé 藥品"
-        return "查無原廠", "-", "❌ 查無資料或皆為 Gé"
-    except Exception as e: return "執行失敗", "-", str(e)
+        if brands: return ", ".join(brands), "法國系統無藥廠", "\n".join(log)
+        return "查無原廠", "-", "\n".join(log)
+    except Exception as e: return "執行失敗", "-", "\n".join(log) + f"\n錯誤: {str(e)}"
 
 def get_australia_originator(ingredient):
-    brands = set()
+    log, brands = [], set()
     try:
         session = curl_req.Session(impersonate="chrome120")
+        log.append("1. 發送 GET 至澳洲 TGA...")
         res = session.get(f"https://www.tga.gov.au/resources/artg?keywords={ingredient}", timeout=30, verify=False)
+        log.append(f"   -> 狀態碼: {res.status_code}, 內容長度: {len(res.text)}")
         soup = BeautifulSoup(res.text, 'html.parser')
+        
+        articles = soup.find_all('article', class_='node--artg')
+        log.append(f"2. 找到 {len(articles)} 筆 ARTG 紀錄。")
         cands = []
-        for article in soup.find_all('article', class_='node--artg'):
+        for article in articles:
             title_tag, time_tag = article.find('h3'), article.find('time')
             if title_tag and time_tag:
                 full_t = title_tag.get_text(strip=True)
@@ -117,131 +169,176 @@ def get_australia_originator(ingredient):
                         cands.append({"brand": brand, "date": time_tag.get('datetime')})
         if cands:
             cands = sorted(cands, key=lambda x: x['date'])
-            return cands[0]['brand'], "TGA資料庫", f"✅ 最早註冊: {cands[0]['date'][:10]}"
-        return "查無原廠", "-", "❌ 查無資料"
-    except Exception as e: return "執行失敗", "-", str(e)
+            log.append(f"✅ 依日期排序鎖定最早註冊: {cands[0]['date'][:10]}")
+            return cands[0]['brand'], "TGA資料庫", "\n".join(log)
+        return "查無原廠", "-", "\n".join(log)
+    except Exception as e: return "執行失敗", "-", "\n".join(log) + f"\n錯誤: {str(e)}"
 
 def get_sweden_originator(ingredient):
-    brands, companies = set(), set()
+    log, brands, companies = [], set(), set()
     try:
         session = curl_req.Session(impersonate="chrome120")
+        log.append("1. 發送 GET 至瑞典 FASS...")
         res = session.get(f"https://www.fass.se/LIF/search?query={quote(ingredient)}", timeout=30, verify=False)
+        log.append(f"   -> 狀態碼: {res.status_code}, 內容長度: {len(res.text)}")
         soup = BeautifulSoup(res.text, 'html.parser')
-        for item in soup.find_all('li', class_=re.compile(r'search-result-item')):
+        
+        items = soup.find_all('li', class_=re.compile(r'search-result-item'))
+        log.append(f"2. 找到 {len(items)} 筆搜尋結果。")
+        for item in items:
             title_tag, comp_tag = item.find('a', class_='product-name'), item.find('span', class_='company-name')
             if title_tag and comp_tag:
                 title, comp = title_tag.get_text(strip=True), comp_tag.get_text(strip=True)
                 if not is_generic(title, comp, ingredient):
                     brands.add(clean_brand_name(title))
                     companies.add(comp)
-        if brands: return ", ".join(brands), ", ".join(companies), "✅ 成功 (FASS)"
-        return "查無原廠", "-", "❌ 查無資料"
-    except Exception as e: return "執行失敗", "-", str(e)
+        if brands: return ", ".join(brands), ", ".join(companies), "\n".join(log)
+        return "查無原廠", "-", "\n".join(log)
+    except Exception as e: return "執行失敗", "-", "\n".join(log) + f"\n錯誤: {str(e)}"
 
 # ==========================================
 # 🚀 模組 B：使用 Playwright 抓取 (英、加、日、德、瑞)
 # ==========================================
 def get_uk_originator(ingredient, page):
-    brands, companies = set(), set()
+    log, brands, companies = [], set(), set()
     try:
+        log.append("1. 前往 eMC...")
         page.goto(f"https://www.medicines.org.uk/emc/search?q={ingredient}", timeout=30000)
         page.wait_for_selector('.search-results-product-info-title-link', timeout=15000)
         soup = BeautifulSoup(page.content(), 'html.parser')
-        for link in soup.find_all('a', class_='search-results-product-info-title-link'):
+        links = soup.find_all('a', class_='search-results-product-info-title-link')
+        log.append(f"2. 找到 {len(links)} 筆標題，開始篩選。")
+        for link in links:
             title = link.get_text(strip=True)
             if not title.lower().startswith(ingredient.lower()):
                 brands.add(clean_brand_name(title))
                 p_div = link.find_parent(class_='search-results-product-info')
                 if p_div and p_div.find(class_='search-results-product-info-company'):
                     companies.add(p_div.find(class_='search-results-product-info-company').get_text(strip=True))
-        if brands: return ", ".join(brands), ", ".join(companies), "✅ 成功"
-        return "查無原廠", "-", "❌ 皆以成分名開頭"
-    except Exception as e: return "執行失敗", "-", str(e)
+        if brands: return ", ".join(brands), ", ".join(companies), "\n".join(log)
+        return "查無原廠", "-", "\n".join(log)
+    except Exception as e: return "執行失敗", "-", "\n".join(log) + f"\n錯誤: {str(e)}"
 
 def get_canada_originator(ingredient, page):
+    log = []
     try:
+        log.append("1. 前往 Canada DPD...")
         page.goto("https://health-products.canada.ca/dpd-bdpp/index-eng.jsp", timeout=45000, wait_until="domcontentloaded")
         page.locator('input[id="activeIngredient"]').fill(ingredient)
         page.keyboard.press("Enter")
-        page.wait_for_selector('table#results', timeout=15000)
         
-        soup, all_cands = BeautifulSoup(page.content(), 'html.parser'), []
+        log.append("2. 等待結果表格或查無資料訊息...")
+        # 🟢 修正：同時等待 表格 或 錯誤提示，避免超時
+        page.wait_for_selector('table#results, .alert-info, .alert-warning', timeout=15000)
+        soup = BeautifulSoup(page.content(), 'html.parser')
         table = soup.find('table', id='results')
-        if not table or not table.find('tbody'): return "查無資料", "-", "❌ 表格未生成"
         
-        for tr in table.find('tbody').find_all('tr'):
+        if not table or not table.find('tbody'): 
+            log.append("❌ 畫面上未出現表格，可能查無此藥。")
+            return "查無資料", "-", "\n".join(log)
+        
+        rows = table.find('tbody').find_all('tr')
+        log.append(f"3. 找到 {len(rows)} 筆資料，進行黑名單過濾。")
+        all_cands = []
+        for tr in rows:
             tds = tr.find_all('td')
             if len(tds) >= 4:
                 comp = tds[2].get_text(strip=True)
                 if is_generic(tds[3].get_text(strip=True), comp, ingredient): continue
                 m = re.search(r'\d+', tds[1].get_text(strip=True))
                 if m and tds[1].find('a'):
-                    all_cands.append({"company": comp, "product": tds[3].get_text(strip=True), "din": int(m.group()), "url": "https://health-products.canada.ca" + tds[1].find('a')['href']})
+                    all_cands.append({"company": comp, "product": tds[3].get_text(strip=True), "din": int(m.group())})
                     
-        if not all_cands: return "查無原廠", "-", "❌ 剩餘皆為學名藥"
+        if not all_cands: return "查無原廠", "-", "\n".join(log) + "\n❌ 剩餘皆為學名藥廠"
         
         all_cands = sorted(all_cands, key=lambda x: x['din'])
         orig_comp = all_cands[0]['company']
         brands = set([c['product'] for c in all_cands if c['company'] == orig_comp])
-        return ", ".join(brands), orig_comp, f"✅ 依 DIN 鎖定最古老藥廠"
-    except Exception as e: return "執行失敗", "-", str(e)
+        log.append(f"✅ 依 DIN 鎖定最古老藥廠: {orig_comp}")
+        return ", ".join(brands), orig_comp, "\n".join(log)
+    except Exception as e: return "執行失敗", "-", "\n".join(log) + f"\n錯誤: {str(e)}"
 
 def get_japan_originator(ing_ja, page):
-    brands, companies = set(), set()
+    log, brands, companies = [], set(), set()
     try:
-        # 🟢 修正：直接前往網頁，等待輸入框，輸入後按 Enter 提交
+        log.append(f"1. 前往 PMDA (搜尋: {ing_ja})...")
         page.goto("https://www.pmda.go.jp/PmdaSearch/iyakuSearch/", timeout=30000, wait_until="domcontentloaded")
-        page.wait_for_selector('input#txtName', timeout=15000)
-        page.fill('input#txtName', ing_ja)
-        page.press('input#txtName', 'Enter')
         
-        page.wait_for_selector('table#ResultList', timeout=15000)
-        for tr in BeautifulSoup(page.content(), 'html.parser').find('table', id='ResultList').find_all('tr'):
-            tds = tr.find_all('td')
-            if len(tds) >= 3:
-                title = tds[1].get_text(strip=True)
-                if not is_generic(title, "", ing_ja):
-                    brands.add(clean_brand_name(title))
-                    companies.add(tds[2].get_text(separator=" ", strip=True).replace('製造販売元／', ''))
-        if brands: return ", ".join(brands), ", ".join(companies), "✅ 成功"
-        return "查無原廠", "-", "❌ 皆為學名藥"
-    except Exception as e: return "執行失敗", "-", str(e)
+        # 尋找輸入框並按 Enter
+        page.locator('input#txtName, input[name="nameWord"], input[name="general_name"]').first.fill(ing_ja)
+        page.keyboard.press("Enter")
+        
+        log.append("2. 等待表格 ResultList 或 錯誤訊息...")
+        # 🟢 修正：同時等待 表格 或 錯誤訊息，防止超時
+        page.wait_for_selector('table#ResultList, .errormsg, .non-result', timeout=15000)
+        log.append(f"   -> 跳轉後網址: {page.url}")
+        
+        soup = BeautifulSoup(page.content(), 'html.parser')
+        table = soup.find('table', id='ResultList')
+        
+        if table:
+            rows = table.find_all('tr')
+            log.append(f"3. 找到表格，共 {len(rows)} 列。")
+            for tr in rows:
+                tds = tr.find_all('td')
+                if len(tds) >= 3:
+                    title = tds[1].get_text(strip=True)
+                    if not is_generic(title, "", ing_ja):
+                        brands.add(clean_brand_name(title))
+                        companies.add(tds[2].get_text(separator=" ", strip=True).replace('製造販売元／', ''))
+        else:
+            log.append("❌ 畫面上未出現 ResultList，查無此藥。")
+            
+        if brands: return ", ".join(brands), ", ".join(companies), "\n".join(log)
+        return "查無原廠", "-", "\n".join(log)
+    except Exception as e: return "執行失敗", "-", "\n".join(log) + f"\n錯誤: {str(e)}"
 
 def get_switzerland_originator(ing_de, page):
-    brands, companies = set(), set()
+    log, brands, companies = [], set(), set()
     try:
+        log.append(f"1. 前往 Compendium (搜尋: {ing_de})...")
         page.goto(f"https://compendium.ch/search?q={ing_de}", timeout=30000)
-        # 🟢 修正：Vue.js 需要時間渲染，改為等待網路請求靜止
+        
+        log.append("2. 等待網路請求完成 (networkidle)...")
         page.wait_for_load_state('networkidle', timeout=20000)
         
-        for card in BeautifulSoup(page.content(), 'html.parser').find_all('div', class_=re.compile('medicament-card')):
+        soup = BeautifulSoup(page.content(), 'html.parser')
+        cards = soup.find_all('div', class_=re.compile('medicament-card'))
+        log.append(f"3. 畫面渲染完成，找到 {len(cards)} 筆卡片。")
+        
+        for card in cards:
             h3, strong = card.find('h3'), card.find('strong', class_='info')
             if h3 and strong:
                 title, comp = h3.get_text(strip=True), strong.get_text(strip=True)
                 if not is_generic(title, comp, ing_de):
                     brands.add(clean_brand_name(title))
                     companies.add(comp)
-        if brands: return ", ".join(brands), ", ".join(companies), "✅ 成功"
-        return "查無原廠", "-", "❌ 查無資料"
-    except Exception as e: return "執行失敗", "-", str(e)
+        if brands: return ", ".join(brands), ", ".join(companies), "\n".join(log)
+        return "查無原廠", "-", "\n".join(log) + "\n❌ 查無資料或全為學名藥"
+    except Exception as e: return "執行失敗", "-", "\n".join(log) + f"\n錯誤: {str(e)}"
 
 def get_germany_originator(ing_de, page):
-    brands, companies = set(), set()
+    log, brands, companies = [], set(), set()
     try:
+        log.append(f"1. 前往 Gelbe Liste (搜尋: {ing_de})...")
         page.goto(f"https://www.gelbe-liste.de/profi-suche/results?substance={quote(ing_de)}", timeout=30000)
         page.wait_for_selector('.product-list', timeout=15000)
-        ul = BeautifulSoup(page.content(), 'html.parser').find('ul', class_='product-list')
+        
+        soup = BeautifulSoup(page.content(), 'html.parser')
+        ul = soup.find('ul', class_='product-list')
         if ul:
-            for li in ul.find_all('li'):
+            lis = ul.find_all('li')
+            log.append(f"2. 找到 {len(lis)} 筆結果，過濾平行輸入商。")
+            for li in lis:
                 h5, p_tag = li.find('h5'), li.find('p', class_='small')
                 if h5:
                     title, comp = h5.get_text(strip=True), (p_tag.get_text(strip=True) if p_tag else "-")
                     if not is_generic(title, comp, ing_de):
                         brands.add(clean_brand_name(title))
                         companies.add(comp)
-        if brands: return ", ".join(brands), ", ".join(companies), "✅ 成功"
-        return "查無原廠", "-", "❌ 查無資料"
-    except Exception as e: return "執行失敗", "-", str(e)
+        if brands: return ", ".join(brands), ", ".join(companies), "\n".join(log)
+        return "查無原廠", "-", "\n".join(log) + "\n❌ 查無資料"
+    except Exception as e: return "執行失敗", "-", "\n".join(log) + f"\n錯誤: {str(e)}"
 
 # ==========================================
 # 🚀 主執行中樞
@@ -253,7 +350,7 @@ def run_all_ten_countries(ing_en, ing_ja_manual, ing_de_manual):
     ing_de = ing_de_manual if ing_de_manual else translate_lang(ing_en, 'de')
     results = []
 
-    # 1. API 模組 (澳洲與瑞典已移至此處)
+    # 1. API 模組 (不受瀏覽器阻擋)
     usa_b, usa_c, usa_log = get_usa_originator(ing_en)
     results.append(["🇺🇸 美國 (FDA)", usa_b, usa_c, usa_log])
     
@@ -294,7 +391,7 @@ def run_all_ten_countries(ing_en, ing_ja_manual, ing_de_manual):
 # 🎨 UI 介面
 # ==========================================
 with gr.Blocks(title="十國原廠商品名智能檢索器") as demo:
-    gr.Markdown("## 🌐 跨國原廠商品名檢索器 (十國無重複修復版)")
+    gr.Markdown("## 🌐 跨國原廠商品名檢索器 (高階診斷版)")
     
     with gr.Row():
         ing_en = gr.Textbox(label="🧪 英文成分名 (必填)", placeholder="例如: Semaglutide")
@@ -306,7 +403,7 @@ with gr.Blocks(title="十國原廠商品名智能檢索器") as demo:
     search_btn = gr.Button("🚀 啟動十國查詢", variant="primary")
     
     result_table = gr.Dataframe(
-        headers=["國家", "🌟 判定為原廠的商品名", "🏭 藥廠名稱", "🛠️ 系統狀態"],
+        headers=["國家", "🌟 判定為原廠的商品名", "🏭 藥廠名稱", "🛠️ 系統狀態與詳細日誌"],
         datatype=["str", "str", "str", "str"],
         wrap=True, interactive=False
     )