Update app.py

app.py

@@ -8,55 +8,90 @@ from playwright.sync_api import sync_playwright
 from curl_cffi import requests as curl_req
 import gradio as gr
 
+# 💡 匯入 Hugging Face 原生 AI 翻譯所需套件
+import torch
+from transformers import pipeline
+
 os.system("playwright install chromium")
 
+# ==========================================
+# 🧠 載入原生 ElanMT 醫療翻譯模型 (依據您提供的程式碼)
+# ==========================================
+print("⏳ 系統啟動中：正在載入 ElanMT 醫療翻譯模型...")
+device = "cuda" if torch.cuda.is_available() else "cpu"
+try:
+    # 根據您的 app.py，直接呼叫 transformers pipeline
+    translator_en_ja = pipeline("translation", model="Mitsua/elan-mt-bt-en-ja", device=device)
+    print(f"✅ ElanMT 模型載入完成！(執行環境: {device})")
+except Exception as e:
+    print(f"⚠️ ElanMT 模型載入失敗，將退回備用機制。錯誤: {e}")
+    translator_en_ja = None
+
+
+# ==========================================
+# 🛠️ 共用工具：四重智能翻譯與學名藥濾網
+# ==========================================
 def get_official_japanese_name(ingredient_en):
-    """
-    利用維基百科 API 跨語言連結，精準取得官方日文藥名 (JAN)
-    """
+    """利用維基百科 API 跨語言連結，精準取得官方日文藥名 (JAN)"""
     try:
-        # 1. 查詢英文維基百科，確認該藥品頁面是否存在
         search_url = f"https://en.wikipedia.org/w/api.php?action=query&list=search&srsearch={quote(ingredient_en)}&utf8=&format=json"
         res = requests.get(search_url, timeout=5).json()
         if not res['query']['search']: return None
         
-        # 取得最吻合的英文頁面標題
         en_title = res['query']['search'][0]['title']
-        
-        # 2. 查詢該頁面是否有對應的「日文版」頁面，並抓取日文標題
         lang_url = f"https://en.wikipedia.org/w/api.php?action=query&titles={quote(en_title)}&prop=langlinks&lllang=ja&format=json"
         lang_res = requests.get(lang_url, timeout=5).json()
         
         pages = lang_res['query']['pages']
         for page_id in pages:
             if 'langlinks' in pages[page_id]:
-                # 日文維基百科的標題，99% 就是日本官方一般名 (JAN)
                 ja_title = pages[page_id]['langlinks'][0]['*']
-                # 清除有時維基百科標題會帶有的後綴，例如 "フィネレノン (化合物)"
                 return ja_title.split(' ')[0].split('（')[0]
     except Exception:
         pass
     return None
 
 def translate_lang(text, target_lang):
-    """
-    智能翻譯分發器
-    """
-    # 💡 針對日文，優先使用「醫學實體對照法」，這比 Google 翻譯準確一萬倍
+    """四重防護智能翻譯分發器"""
+    text_lower = text.lower().strip()
+    
     if target_lang == 'ja':
+        # 1. 字典防護
+        ja_overrides = {
+            "bilastine": "ビラスチン",
+            "semaglutide": "セマグルチド"
+        }
+        if text_lower in ja_overrides:
+            print(f"🌍 [翻譯] 命中自訂字典: {text} -> {ja_overrides[text_lower]}")
+            return ja_overrides[text_lower]
+            
+        # 2. 💡 原生 ElanMT 模型防護 (不需對外連線)
+        if translator_en_ja is not None:
+            try:
+                # 呼叫 pipeline 進行推論
+                result = translator_en_ja(text)
+                translated_text = result[0]['translation_text']
+                print(f"🌍 [翻譯] 命中 ElanMT 醫療模型: {text} -> {translated_text}")
+                return translated_text
+            except Exception as e:
+                print(f"⚠️ ElanMT 推論錯誤 ({e})，降級至維基百科...")
+                
+        # 3. 維基百科防護
         official_ja = get_official_japanese_name(text)
         if official_ja:
-            return official_ja # 成功拿到官方名稱，直接回傳
+            print(f"🌍 [翻譯] 命中維基百科: {text} -> {official_ja}")
+            return official_ja
             
-    # 若不是日文(如德文)，或是維基百科查不到，才退回使用 Google 翻譯做備用
+    # 4. Google 翻譯兜底 (德文或前述皆失敗時)
     try:
         url = f"https://translate.googleapis.com/translate_a/single?client=gtx&sl=en&tl={target_lang}&dt=t&q={quote(text)}"
         res = requests.get(url, timeout=5)
         if res.status_code == 200: 
-            return res.json()[0][0][0].strip()
+            result = res.json()[0][0][0].strip()
+            print(f"🌍 [翻譯] 命中 Google 翻譯: {text} -> {result}")
+            return result
     except Exception: 
         pass
-        
     return text
 
 def is_generic(brand_name, company_name, ingredient):
@@ -64,7 +99,6 @@ def is_generic(brand_name, company_name, ingredient):
     c_lower = company_name.lower()
     i_lower = ingredient.lower()
     
-    # 💡 新增您在 FASS 發現的學名藥廠: tiefenbacher, cinfa, polpharma, pharmaceutical innovation...
     generic_keywords = [
         'sandoz', 'teva', 'apotex', 'ratiopharm', 'jamp', 'mint', 'pharmascience', 'sanis', 'sivem', 
         'auro', 'glenmark', 'taro', 'marcan', 'nora', 'mantra', 'reddy', 'mepha', 'axapharm', 
@@ -82,63 +116,21 @@ def is_generic(brand_name, company_name, ingredient):
     return False
 
 def clean_brand_name(raw_name):
-    """
-    精準擷取商品名主體：
-    1. 遇到劑量數字 (\d+) 直接切斷
-    2. 遇到多國常見的劑型、包裝描述詞彙直接切斷
-    """
-    # 擴充了德文、法文、英文、日文的常見劑型與包裝詞彙
-    # 加入 inj (注射), pen (注射筆), prefilled (預填) 來應對 Semaglutide 等生物製劑
+    # 去劑型化：精準擷取商品名主體
     pattern = r'(皮下注|錠|カプセル|顆粒|シロップ|OD|細粒|液|Augentropfen|Schmelztabletten|Tabletten|kids|Lingual|Sol|cp|inj|pen|prefilled|flex|\d+)'
-    
-    # 透過正則表達式忽略大小寫進行切割，並只取最前面的主商標名
     cleaned = re.split(pattern, raw_name, flags=re.IGNORECASE)[0]
-    
-    # 清除 ®、™ 符號，並去除頭尾可能殘留的空白或連接號
     return cleaned.replace('®', '').replace('™', '').strip(' -_')
 
+
 # ==========================================
-# 🚀 模組 A：使用 curl_cffi 抓取 (美、法、澳、瑞典)
+# 🚀 模組 A：使用 curl_cffi 抓取 (澳)
 # ==========================================
-def get_usa_originator(ingredient):
-    log, brands, companies = [], set(), set()
-    try:
-        session = curl_req.Session(impersonate="chrome120")
-        log.append("1. 發送 GET 請求至 FDA Orange Book...")
-        # 改用標準 GET 參數直接查詢結果頁面
-        url = f"https://www.accessdata.fda.gov/scripts/cder/ob/results_product.cfm?Generic_Name={quote(ingredient)}&rx_otc=All"
-        res = session.get(url, 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"2. 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 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))
-        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_australia_originator(ingredient):
     log, brands = [], set()
     try:
         session = curl_req.Session(impersonate="chrome120")
         log.append("1. 發送 GET 至澳洲 TGA 搜尋頁面...")
         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}")
         soup = BeautifulSoup(res.text, 'html.parser')
         
         articles = soup.find_all('article', class_='node--artg')
@@ -152,78 +144,189 @@ def get_australia_originator(ingredient):
                 if len(parts) > 1 and parts[0].strip():
                     brand = parts[0].strip()
                     if not is_generic(brand, "", ingredient):
-                        # 💡 取得該筆紀錄的內頁連結 (href)
                         a_tag = title_tag.find('a')
                         href = a_tag['href'] if a_tag else None
                         cands.append({"brand": brand, "date": time_tag.get('datetime'), "href": href})
                         
         if cands:
-            # 依日期排序，找出最古老的註冊紀錄
             cands = sorted(cands, key=lambda x: x['date'])
             target = cands[0]
             brand = target['brand']
             log.append(f"✅ 依日期排序鎖定最早註冊: {target['date'][:10]} ({brand})")
             
-            company = "TGA資料庫" # 預設值
-            
-            # 💡 新增：進入內頁抓取藥廠 (Sponsor)
+            company = "TGA資料庫"
             if target['href']:
-                # 確保網址是絕對路徑
                 detail_url = f"https://www.tga.gov.au{target['href']}" if target['href'].startswith('/') else target['href']
                 log.append("3. 進入內頁抓取 Sponsor 藥廠資訊...")
-                
                 res_detail = session.get(detail_url, timeout=30, verify=False)
                 if res_detail.status_code == 200:
                     detail_soup = BeautifulSoup(res_detail.text, 'html.parser')
-                    
-                    # 依據您提供的 HTML 結構精準定位
                     sponsor_div = detail_soup.find('div', class_=re.compile(r'field--name-field-sponsor'))
                     if sponsor_div and sponsor_div.find('a'):
                         company = sponsor_div.find('a').get_text(strip=True)
                         log.append(f"   -> 成功取得藥廠名稱: {company}")
-                    else:
-                        log.append("   -> 內頁未找到 Sponsor 標籤。")
-                else:
-                    log.append(f"   -> 進入內頁失敗，狀態碼: {res_detail.status_code}")
-                    
             return brand, company, "\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 (比、英、加、日、德、瑞)
+# 🚀 模組 B：使用 Playwright 抓取 (美、比、法、英、加、日、德、瑞、瑞典)
 # ==========================================
+def get_usa_originator(ingredient, page):
+    log, brands, companies = [], set(), set()
+    try:
+        log.append(f"1. 前往 FDA Orange Book (搜尋: {ingredient})...")
+        url = f"https://www.accessdata.fda.gov/scripts/cder/ob/results_product.cfm?Generic_Name={quote(ingredient)}&rx_otc=All"
+        page.goto(url, timeout=45000, wait_until="domcontentloaded")
+
+        log.append("2. 等待 DataTables (table#example) 動態渲染...")
+        try:
+            page.wait_for_selector('table#example, .alert-warning', state="attached", timeout=15000)
+        except Exception:
+            pass
+            
+        page.wait_for_timeout(2000)
+        soup = BeautifulSoup(page.content(), 'html.parser')
+        table = soup.find('table', id='example')
+
+        if table and table.find('tbody'):
+            rows = table.find('tbody').find_all('tr')
+            log.append(f"3. 找到表格，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 rows:
+                tds = tr.find_all('td')
+                if len(tds) > max(rld_idx, brand_idx):
+                    rld_text = tds[rld_idx].get_text(strip=True).upper()
+                    if "RLD" in rld_text or "RS" in rld_text:
+                        title = tds[brand_idx].get_text(strip=True)
+                        comp = tds[mfg_idx].get_text(strip=True) if len(tds) > mfg_idx else "-"
+                        
+                        if not is_generic(title, comp, ingredient):
+                            brands.add(clean_brand_name(title))
+                            if comp != "-": companies.add(comp)
+        else:
+            log.append("❌ 畫面上未出現 table#example，可能查無此藥或遭阻擋。")
+
+        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_france_originator(ingredient, page):
+    log, brands, companies = [], set(), set()
+    try:
+        log.append(f"1. 前往 Vidal 搜尋頁面 (搜尋: {ingredient})...")
+        page.goto(f"https://www.vidal.fr/recherche.html?query={quote(ingredient)}", timeout=45000, wait_until="domcontentloaded")
+        page.wait_for_selector('.results, .searchbar', timeout=15000)
+        
+        soup = BeautifulSoup(page.content(), 'html.parser')
+        divs = soup.find_all('div', class_=re.compile(r'result drug'))
+        log.append(f"3. 找到 {len(divs)} 筆 'result drug' 區塊。")
+        
+        cands = []
+        for div in divs:
+            info_div = div.find('div', class_='infos')
+            if info_div and info_div.find('a'):
+                a_tag = info_div.find('a')
+                title = a_tag.get_text(strip=True)
+                href = a_tag.get('href', '')
+                if not is_generic(title, "", ingredient):
+                    cands.append({"raw_title": title, "href": href})
+                    
+        if cands:
+            log.append(f"4. 篩選出 {len(cands)} 筆非學名藥候選，準備進入內頁抓取藥廠...")
+            for cand in cands:
+                title = cand['raw_title']
+                href = cand['href']
+                detail_url = href if href.startswith('http') else (f"https://www.vidal.fr{href}" if href.startswith('/') else f"https://www.vidal.fr/{href}")
+                    
+                log.append(f"   -> 進入內頁: {clean_brand_name(title)}")
+                page.goto(detail_url, timeout=30000, wait_until="domcontentloaded")
+                
+                comp = "-"
+                try:
+                    page.wait_for_selector('div.nomlab', timeout=10000)
+                    detail_soup = BeautifulSoup(page.content(), 'html.parser')
+                    nomlab_div = detail_soup.find('div', class_='nomlab')
+                    if nomlab_div:
+                        comp = nomlab_div.get_text(strip=True)
+                        log.append(f"      ✅ 成功取得藥廠: {comp}")
+                except Exception:
+                    pass
+                
+                if not is_generic(title, comp, ingredient):
+                    brands.add(clean_brand_name(title))
+                    if comp != "-": companies.add(comp)
+                    
+            if brands: return ", ".join(brands), ", ".join(companies), "\n".join(log)
+        return "查無原廠", "-", "\n".join(log) + "\n❌ 查無非學名藥資料"
+    except Exception as e: 
+        return "執行失敗", "-", "\n".join(log) + f"\n錯誤: {str(e)}"
+
+def get_sweden_originator(ingredient, page):
+    log, brands, companies = [], set(), set()
+    try:
+        log.append(f"1. 前往瑞典 FASS 搜尋頁面 (搜尋: {ingredient})...")
+        page.goto(f"https://fass.se/search?query={quote(ingredient)}", timeout=45000, wait_until="domcontentloaded")
+        
+        try:
+            page.wait_for_selector('details.app-toggle-details-icon, .no-results', state="attached", timeout=15000)
+        except Exception:
+            pass
+            
+        page.wait_for_timeout(2000)
+        soup = BeautifulSoup(page.content(), 'html.parser')
+        items = soup.find_all('details', class_=re.compile(r'app-toggle-details-icon'))
+        log.append(f"3. 找到 {len(items)} 筆搜尋結果。")
+        
+        for item in items:
+            summary = item.find('summary')
+            if not summary: continue
+            
+            title_span = summary.find('span', class_=re.compile(r'font-semibold'))
+            title = title_span.get_text(strip=True) if title_span else ""
+            
+            comp = "-"
+            ol = item.find('ol')
+            if ol:
+                comp_span = ol.find('span', class_='text-label-md')
+                if comp_span:
+                    comp = comp_span.get_text(strip=True)
+            
+            if title:
+                if not is_generic(title, comp, ingredient):
+                    brands.add(clean_brand_name(title))
+                    if comp != "-": companies.add(comp)
+                    
+        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_belgium_originator(ingredient, page):
     log, brands = [], set()
     try:
         log.append(f"1. 前往 CBIP (比利時) 搜尋頁面 (搜尋: {ingredient})...")
         page.goto(f"https://www.cbip.be/fr/search?q={ingredient}", timeout=45000, wait_until="domcontentloaded")
-        
-        # 等待搜尋結果區塊渲染
         page.wait_for_selector('ul.search-results, .no-results', timeout=15000)
         page.wait_for_timeout(2000)
         
         soup = BeautifulSoup(page.content(), 'html.parser')
-        
-        # 💡 修正：直接抓取搜尋結果清單中的所有連結，不再嚴格限制 href 的結構
-        log.append("2. 掃描搜尋結果...")
         results_list = soup.find('ul', class_=re.compile(r'search-results|results'))
         
         if results_list:
             links = results_list.find_all('a')
             for link in links:
                 text = link.get_text(strip=True)
-                
-                # 過濾掉太短的字或明顯不是藥名的系統文字
                 if len(text) > 3 and not text.lower().startswith('voir'):
-                    # 依賴強大的黑名單過濾學名藥廠 (如 EG, Teva, Sandoz)
                     if not is_generic(text, "", ingredient):
                         brands.add(clean_brand_name(text))
-        else:
-            log.append("❌ 畫面上未出現搜尋結果清單。")
-            
         if brands: return ", ".join(brands), "CBIP 資料庫", "\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: 
@@ -237,7 +340,6 @@ def get_uk_originator(ingredient, page):
         page.wait_for_selector('.search-results-product-info-title-link', timeout=15000)
         soup = BeautifulSoup(page.content(), 'html.parser')
         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()):
@@ -256,18 +358,12 @@ def get_canada_originator(ingredient, page):
         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")
-        
-        log.append("2. 等待結果表格或查無資料訊息...")
         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'): 
-            log.append("❌ 畫面上未出現表格，可能查無此藥。")
-            return "查無資料", "-", "\n".join(log)
-        
+        if not table or not table.find('tbody'): 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')
@@ -279,12 +375,10 @@ def get_canada_originator(ingredient, page):
                     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", "-", "\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])
-        log.append(f"✅ 依 DIN 鎖定最古老藥廠: {orig_comp}")
-        return ", ".join(brands), orig_comp, "\n".join(log)
+        return ", ".join(clean_brand_name(b) for b in 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):
@@ -292,79 +386,55 @@ def get_japan_originator(ing_ja, page):
     try:
         log.append(f"1. 前往 PMDA (搜尋: {ing_ja})...")
         page.goto("https://www.pmda.go.jp/PmdaSearch/iyakuSearch/", timeout=45000, wait_until="domcontentloaded")
-        
-        log.append("2. 準確定位置首頁搜尋框 (id='txtName')...")
-        # 依照您提供的 HTML 結構，直接鎖定 txtName
         search_input = page.locator('input#txtName')
         search_input.wait_for(state="attached", timeout=15000)
         search_input.fill(ing_ja, force=True)
         
-        log.append("3. 觸發搜尋並監聽彈出新視窗...")
         with page.expect_popup() as popup_info:
             search_input.press("Enter")
         popup = popup_info.value
-        
-        log.append("4. 等待新視窗表格並啟動自動翻頁掃描...")
         current_page = 1
         
         while True:
-            # 等待表格出現
             popup.wait_for_selector('table#ResultList, .errormsg, .non-result', timeout=15000)
             soup = BeautifulSoup(popup.content(), 'html.parser')
             table = soup.find('table', id='ResultList')
             
             if table:
                 rows = table.find_all('tr')
-                log.append(f"   -> 第 {current_page} 頁找到 {len(rows)} 列資料。")
                 for tr in rows:
                     tds = tr.find_all('td')
                     if len(tds) >= 3:
                         title = tds[1].get_text(strip=True)
-                        # 這裡會自動把帶有「括號」或廠商名稱的學名藥濾掉
                         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(f"❌ 第 {current_page} 頁未出現 ResultList。")
-                break
+            else: break
             
-            # 尋找下一頁的按鈕 (例如 javascript:changePg(2);)
             current_page += 1
             next_page_link = popup.locator(f'a[href="javascript:changePg({current_page});"]')
-            
             if next_page_link.count() > 0:
-                log.append(f"   -> 發現第 {current_page} 頁，執行翻頁...")
                 next_page_link.first.click(force=True)
-                popup.wait_for_timeout(2000) # 給予表格重新渲染的緩衝時間
-            else:
-                log.append("   -> 已無下一頁，結束掃描。")
-                break
+                popup.wait_for_timeout(2000)
+            else: break
                 
         popup.close()
-            
         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)}"
+        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):
     log, brands, companies = [], set(), set()
     try:
         log.append(f"1. 前往 Swissmedicinfo Pro 專業版 (搜尋: {ing_de})...")
         page.goto("https://swissmedicinfo-pro.ch/?Lang=EN", timeout=45000, wait_until="domcontentloaded")
-        
-        log.append("2. 精準定位「成分專用」搜尋框 (txtSubstance)...")
-        # 💡 直接使用您提供的精準 ID，這招絕對萬無一失！
         search_input = page.locator('input#MainContent_ucSearch1_txtSubstance')
         search_input.wait_for(state="attached", timeout=15000)
         search_input.fill(ing_de, force=True)
-        
-        log.append("3. 按下 Enter 並等待 ASP.NET 載入完整資料...")
         search_input.press("Enter")
         
         page.wait_for_load_state('networkidle', timeout=15000)
         page.wait_for_timeout(3000) 
-        
         page.wait_for_selector('table[id*="GVMonographies"], #MainContent_LabelNoResult', timeout=15000)
         
         soup = BeautifulSoup(page.content(), 'html.parser')
@@ -372,37 +442,27 @@ def get_switzerland_originator(ing_de, page):
         
         if table and table.find('tbody'):
             rows = table.find('tbody').find_all('tr', class_=re.compile(r'clickable-row'))
-            log.append(f"4. 畫面解析完成，找到 {len(rows)} 筆表格資料。")
-            
             for tr in rows:
                 tds = tr.find_all('td')
                 if len(tds) >= 4:
                     title = tds[0].get_text(strip=True)
                     comp = tds[3].get_text(strip=True)
-                    
                     if not is_generic(title, comp, ing_de):
                         brands.add(clean_brand_name(title))
                         if comp != "-": companies.add(comp)
-        else:
-            log.append("❌ 畫面上未出現表格，查無資料。")
-            
         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)}"
+        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_germany_originator(ing_de, page):
     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)
-        
         soup = BeautifulSoup(page.content(), 'html.parser')
         ul = soup.find('ul', class_='product-list')
         if ul:
             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:
@@ -411,141 +471,25 @@ def get_germany_originator(ing_de, page):
                         brands.add(clean_brand_name(title))
                         companies.add(comp)
         if brands: return ", ".join(brands), ", ".join(companies), "\n".join(log)
-        return "查無原廠", "-", "\n".join(log) + "\n❌ 查無資料"
+        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, page):
-    log, brands, companies = [], set(), set()
-    try:
-        log.append(f"1. 前往 Vidal 搜尋頁面 (搜尋: {ingredient})...")
-        page.goto(f"https://www.vidal.fr/recherche.html?query={quote(ingredient)}", timeout=45000, wait_until="domcontentloaded")
-        
-        log.append("2. 等待搜尋結果渲染...")
-        page.wait_for_selector('.results, .searchbar', timeout=15000)
-        
-        soup = BeautifulSoup(page.content(), 'html.parser')
-        divs = soup.find_all('div', class_=re.compile(r'result drug'))
-        log.append(f"3. 找到 {len(divs)} 筆 'result drug' 區塊。")
-        
-        cands = []
-        for div in divs:
-            info_div = div.find('div', class_='infos')
-            if info_div and info_div.find('a'):
-                a_tag = info_div.find('a')
-                title = a_tag.get_text(strip=True)
-                href = a_tag.get('href', '')
-                
-                # 第一階段：先用商品名初步過濾掉明顯的學名藥
-                if not is_generic(title, "", ingredient):
-                    cands.append({"raw_title": title, "href": href})
-                    
-        if cands:
-            log.append(f"4. 篩選出 {len(cands)} 筆非學名藥候選，準備進入內頁抓取藥廠 (Laboratoire)...")
-            
-            for cand in cands:
-                title = cand['raw_title']
-                href = cand['href']
-                
-                # 組裝絕對網址
-                if href.startswith('http'):
-                    detail_url = href
-                elif href.startswith('/'):
-                    detail_url = f"https://www.vidal.fr{href}"
-                else:
-                    detail_url = f"https://www.vidal.fr/{href}"
-                    
-                log.append(f"   -> 進入內頁: {clean_brand_name(title)}")
-                page.goto(detail_url, timeout=30000, wait_until="domcontentloaded")
-                
-                comp = "-"
-                try:
-                    # 💡 依照您提供的 HTML 結構，等待並精準抓取 div.nomlab
-                    page.wait_for_selector('div.nomlab', timeout=10000)
-                    detail_soup = BeautifulSoup(page.content(), 'html.parser')
-                    nomlab_div = detail_soup.find('div', class_='nomlab')
-                    
-                    if nomlab_div:
-                        comp = nomlab_div.get_text(strip=True)
-                        log.append(f"      ✅ 成功取得藥廠: {comp}")
-                except Exception:
-                    log.append("      ❌ 取得藥廠失敗或 Timeout。")
-                
-                # 第二階段：取得藥廠後，進行最終嚴格過濾 (確保萬無一失)
-                if not is_generic(title, comp, ingredient):
-                    brands.add(clean_brand_name(title))
-                    if comp != "-": companies.add(comp)
-                    
-            if brands: 
-                return ", ".join(brands), ", ".join(companies), "\n".join(log)
-                
-        return "查無原廠", "-", "\n".join(log) + "\n❌ 查無非學名藥資料"
-    except Exception as e: 
-        return "執行失敗", "-", "\n".join(log) + f"\n錯誤: {str(e)}"
-
-def get_sweden_originator(ingredient, page):
-    log, brands, companies = [], set(), set()
-    try:
-        log.append(f"1. 前往瑞典 FASS 搜尋頁面 (搜尋: {ingredient})...")
-        page.goto(f"https://fass.se/search?query={quote(ingredient)}", timeout=45000, wait_until="domcontentloaded")
-        
-        log.append("2. 鎖定特定的搜尋結果區塊...")
-        try:
-            page.wait_for_selector('details.app-toggle-details-icon, .no-results', state="attached", timeout=15000)
-        except Exception:
-            log.append("   -> 查無 details 節點，判斷為無結果。")
-            
-        page.wait_for_timeout(2000) # 給予前端框架充裕時間建構 DOM 樹
-        
-        soup = BeautifulSoup(page.content(), 'html.parser')
-        items = soup.find_all('details', class_=re.compile(r'app-toggle-details-icon'))
-        log.append(f"3. 找到 {len(items)} 筆搜尋結果。")
-        
-        for item in items:
-            # 1. 從 summary 標籤中抓取商品名
-            summary = item.find('summary')
-            if not summary: continue
-            
-            title_span = summary.find('span', class_=re.compile(r'font-semibold'))
-            title = title_span.get_text(strip=True) if title_span else ""
-            
-            # 2. 💡 修正：深入內層的 <ol> 列表，精準抓取真正的藥廠名稱
-            comp = "-"
-            ol = item.find('ol')
-            if ol:
-                # 這樣就不會抓到外層的 Bilastin 了
-                comp_span = ol.find('span', class_='text-label-md')
-                if comp_span:
-                    comp = comp_span.get_text(strip=True)
-            
-            # 3. 執行黑名單過濾 (此時 comp 會是 Tiefenbacher 等，過濾器將成功攔截)
-            if title:
-                if not is_generic(title, comp, ingredient):
-                    brands.add(clean_brand_name(title))
-                    if comp != "-": companies.add(comp)
-                    
-        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)}"
-
 # ==========================================
 # 🚀 主執行中樞
 # ==========================================
 def run_all_ten_countries(ing_en, ing_ja_manual, ing_de_manual):
     if not ing_en: return [["錯誤", "請輸入英文成分名", "-", ""]]
     
+    # 呼叫四重智能翻譯 (現在會自動優先使用您的 ElanMT 模型)
     ing_ja = ing_ja_manual if ing_ja_manual else translate_lang(ing_en, 'ja')
     ing_de = ing_de_manual if ing_de_manual else translate_lang(ing_en, 'de')
     results = []
 
-    # 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])
-    
+    # API 模組 (澳洲)
     au_b, au_c, au_log = get_australia_originator(ing_en)
     results.append(["🇦🇺 澳洲 (TGA)", au_b, au_c, au_log])
 
-    # 2. 瀏覽器模組 (Playwright 嚴格隔離)
+    # 瀏覽器模組 (Playwright 嚴格隔離)
     with sync_playwright() as p:
         browser = p.chromium.launch(headless=True, args=['--no-sandbox', '--disable-dev-shm-usage'])
         context = browser.new_context(user_agent="Mozilla/5.0 (Windows NT 10.0; Win64; x64) Chrome/122.0.0.0 Safari/537.36")
@@ -556,14 +500,15 @@ def run_all_ten_countries(ing_en, ing_ja_manual, ing_de_manual):
             page.close()
             results.append([name, b, c, log])
 
-        run_pw(get_france_originator, ing_en, "🇫🇷 法國 (Vidal)") # 新增這行到 Playwright 區塊
+        run_pw(get_usa_originator, ing_en, "🇺🇸 美國 (FDA)")
         run_pw(get_belgium_originator, ing_en, "🇧🇪 比利時 (CBIP)")
+        run_pw(get_france_originator, ing_en, "🇫🇷 法國 (Vidal)")
         run_pw(get_uk_originator, ing_en, "🇬🇧 英國 (eMC)")
         run_pw(get_canada_originator, ing_en, "🇨🇦 加拿大 (DPD)")
         run_pw(get_japan_originator, ing_ja, "🇯🇵 日本 (PMDA)")
         run_pw(get_switzerland_originator, ing_de, "🇨🇭 瑞士 (Swissmedicinfo)")
-        run_pw(get_germany_originator, ing_de, "🇩🇪 德國 (Gelbe Liste)")
         run_pw(get_sweden_originator, ing_en, "🇸🇪 瑞典 (FASS)")
+        run_pw(get_germany_originator, ing_de, "🇩🇪 德國 (Gelbe Liste)")
         
         browser.close()
         
@@ -573,13 +518,13 @@ 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 (高階診斷版)")
+    gr.Markdown("## 🌐 跨國原廠商品名檢索器 (搭載原生 ElanMT 醫療翻譯)")
     
     with gr.Row():
         ing_en = gr.Textbox(label="🧪 英文成分名 (必填)", placeholder="例如: Semaglutide")
     with gr.Row():
         with gr.Accordion("⚙️ 手動覆寫翻譯 (進階)", open=False):
-            ing_ja = gr.Textbox(label="🇯🇵 日文成分名", placeholder="若空白則自動翻譯")
+            ing_ja = gr.Textbox(label="🇯🇵 日文成分名", placeholder="若空白則自動啟動 ElanMT 翻譯")
             ing_de = gr.Textbox(label="🇩🇪 德文成分名", placeholder="若空白則自動翻譯")
             
     search_btn = gr.Button("🚀 啟動十國查詢", variant="primary")