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Update app.py
Browse files
app.py
CHANGED
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@@ -4,6 +4,7 @@ import datetime
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from urllib.parse import quote
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from bs4 import BeautifulSoup
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from playwright.sync_api import sync_playwright
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import gradio as gr
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import os
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@@ -20,64 +21,28 @@ def translate_en_to_ja(text):
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return text
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# ==========================================
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#
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# ==========================================
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def
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log = []
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brands = set()
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companies = set()
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try:
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log.append("1.
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-
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if not raw_title.lower().startswith(ingredient_query.lower()):
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clean_brand = re.split(r'\s+\d', raw_title)[0].strip()
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brands.add(clean_brand)
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parent_div = link.find_parent(class_='search-results-product-info')
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if parent_div:
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comp_tag = parent_div.find(class_='search-results-product-info-company')
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if comp_tag: companies.add(comp_tag.get_text(strip=True))
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if brands:
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log.append("✅ 成功找到原廠藥!")
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return ", ".join(brands), ", ".join(companies), "\n".join(log)
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else:
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log.append("❌ 查無原廠 (皆以成分名開頭)。")
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return "查無原廠", "-", "\n".join(log)
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except Exception as e:
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log.append(f"❌ 發生錯誤: {str(e)}")
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return "執行失敗", "-", "\n".join(log)
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# ==========================================
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# 🇺🇸 美國 FDA Orange Book (加入偽裝)
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# ==========================================
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def get_usa_originator(ingredient_query, page):
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log = []
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brands = set()
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companies = set()
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try:
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log.append("1. 前往 FDA Orange Book...")
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# 加上 wait_until="domcontentloaded" 避免等待外部資源卡住
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page.goto("https://www.accessdata.fda.gov/scripts/cder/ob/index.cfm", timeout=30000, wait_until="domcontentloaded")
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log.append("2. 切換頁籤並搜尋...")
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page.locator('a[aria-controls="ingredient"], button:has-text("Active Ingredient")').first.click()
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page.locator('input[name="activeIngredient"], input#ingredient').first.fill(ingredient_query)
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page.keyboard.press("Enter")
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log.append("3. 等待結果表格...")
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page.wait_for_selector('table#example', timeout=15000)
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soup = BeautifulSoup(page.content(), 'html.parser')
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table = soup.find('table', id='example')
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if table:
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@@ -99,22 +64,53 @@ def get_usa_originator(ingredient_query, page):
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log.append("✅ 成功找到 RLD 原廠藥!")
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return ", ".join(brands), ", ".join(companies), "\n".join(log)
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else:
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log.append("❌ 尚未核准
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return "查無原廠", "-", "\n".join(log)
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except Exception as e:
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log.append(f"❌ 發生錯誤: {str(e)}")
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return "執行失敗
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# ==========================================
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# 🇨🇦 加拿大 DPD (
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# ==========================================
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def get_canada_originator(ingredient_query, page):
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log = []
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generic_companies = ['apotex', 'teva', 'sandoz', 'jamp', 'mint', 'pharmascience', 'sanis', 'sivem', 'auro', 'glenmark', 'taro', 'marcan', 'nora', 'mantra', 'reddy']
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try:
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log.append("1. 前往 Canada DPD...")
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page.locator('input[id="activeIngredient"]').fill(ingredient_query)
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page.keyboard.press("Enter")
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@@ -129,74 +125,48 @@ def get_canada_originator(ingredient_query, page):
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rows = table.find('tbody').find_all('tr')
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all_candidates = []
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log.append(f"3. 找到 {len(rows)} 筆,過濾黑名單並擷取 DIN...")
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for tr in rows:
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tds = tr.find_all('td')
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if len(tds) >= 4:
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comp_name = tds[2].get_text(strip=True)
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if any(gc in comp_name.lower() for gc in generic_companies):
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continue
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# 擷取 DIN 並轉為數字
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din_text = tds[1].get_text(strip=True)
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din_match = re.search(r'\d+', din_text)
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if din_match:
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din_num = int(din_match.group())
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product_name = tds[3].get_text(strip=True)
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link_tag = tds[1].find('a')
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if link_tag:
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url = "https://health-products.canada.ca" + link_tag['href']
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all_candidates.append({
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"company": comp_name,
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"product":
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"din":
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"url":
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})
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if not all_candidates:
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return "查無原廠", "-", "\n".join(log)
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# 🟢 核心優化:將候選名單依照 DIN 號碼由小到大排序!
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all_candidates = sorted(all_candidates, key=lambda x: x['din'])
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# 排序後,DIN 最小的第一家公司,極大概率就是原廠
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originator_company = all_candidates[0]['company']
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log.append(f"
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# 為了嚴謹,我們還是進去這家公司的第一個連結抓一下日期
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earliest_date_str = "未知"
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try:
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log.append(f"5. 進入詳細頁面確認日期...")
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page.goto(all_candidates[0]['url'], timeout=15000)
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detail_soup = BeautifulSoup(page.content(), 'html.parser')
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# 🟢 修正:使用您提供的 HTML 結構尋找 "Original market date:"
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strong_tag = detail_soup.find(lambda tag: tag.name == "strong" and "Original market date" in tag.get_text(strip=True))
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if strong_tag:
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parent_row = strong_tag.find_parent('div', class_='row')
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if parent_row:
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except Exception as e:
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log.append(" - 日期抓取失敗,但仍以 DIN 排序結果為準")
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log.append(f"✅ 確認原廠為: {originator_company} (上市日: {earliest_date_str})")
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# 把屬於這家原廠的所有商品名都抓出來!(例如一次抓出 Ozempic, Rybelsus, Wegovy)
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final_brands = set([c['product'] for c in all_candidates if c['company'] == originator_company])
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return ", ".join(final_brands), originator_company, "\n".join(log)
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except Exception as e:
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log.append(f"❌ 發生錯誤: {str(e)}")
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return "執行失敗", "-", "\n".join(log)
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# ==========================================
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# 🇯🇵 日本 PMDA (
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# ==========================================
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def get_japan_originator(ingredient_query_ja, page):
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log = []
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log.append(f"使用日文名: {ingredient_query_ja} 進行搜尋")
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try:
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page.goto("https://www.pmda.go.jp/PmdaSearch/iyakuSearch/", timeout=30000)
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try:
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agree_btn = page.locator('text=同意する, input[value="同意する"], a:has-text("同意する")').first
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if agree_btn.is_visible(timeout=3000):
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log.append(" - 發現使用條款畫面,自動點擊同意...")
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agree_btn.click()
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page.wait_for_load_state('networkidle')
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except: pass
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log.append("
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# 🟢 修正:使用
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# 🟢 修正:使用更強大的按鈕定位器,或是直接按 Enter
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try:
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search_btn = page.locator('input[value*="検索"], button:has-text("検索"), input[alt="検索"], .searchBtn').first
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search_btn.click(timeout=5000)
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except:
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# 如果找不到按鈕,就直接在輸入框按 Enter
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search_input.press("Enter")
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log.append("
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page.wait_for_selector('table#ResultList', timeout=15000)
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except:
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log.append("❌ 等待逾時,查無此成分。")
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return "查無資料", "-", "\n".join(log)
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soup = BeautifulSoup(page.content(), 'html.parser')
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table = soup.find('table', id='ResultList')
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if table:
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rows = table.find_all('tr')
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log.append(f"4. 找到表格,分析 {len(rows)} 列資料...")
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for tr in rows:
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tds = tr.find_all('td')
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if len(tds) >= 3:
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comp = tds[2].get_text(separator=" ", strip=True).replace('製造販売元/', '')
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companies.add(comp)
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if brands:
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return ", ".join(brands), ", ".join(companies), "\n".join(log)
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else:
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log.append("❌ 皆為學名藥括號。")
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return "查無原廠", "-", "\n".join(log)
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except Exception as e:
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log.append(f"❌ 發生錯誤: {str(e)}")
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return "執行失敗", "-", "\n".join(log)
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# ==========================================
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# 🚀 主執行函數 (
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# ==========================================
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def run_diagnostic_search(ingredient_en, ingredient_ja_manual):
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if not ingredient_en:
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ingredient_ja = ingredient_ja_manual if ingredient_ja_manual else translate_en_to_ja(ingredient_en)
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results = []
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with sync_playwright() as p:
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# 啟動瀏覽器與設定 User-Agent
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browser = p.chromium.launch(headless=True, args=['--no-sandbox', '--disable-dev-shm-usage'])
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context = browser.new_context(
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user_agent="Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/122.0.0.0 Safari/537.36"
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)
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# 🇬🇧 英國 (開啟專屬分頁)
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page_uk = context.new_page()
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uk_b, uk_c, uk_log = get_uk_originator(ingredient_en, page_uk)
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page_uk.close()
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results.append(["🇬🇧 英國 (eMC)", uk_b, uk_c, uk_log])
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# 🇺🇸 美國 (開啟專屬分頁)
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page_us = context.new_page()
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us_b, us_c, us_log = get_usa_originator(ingredient_en, page_us)
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page_us.close()
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results.append(["🇺🇸 美國 (FDA)", us_b, us_c, us_log])
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# 🇨🇦 加拿大 (開啟專屬分頁)
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page_ca = context.new_page()
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ca_b, ca_c, ca_log = get_canada_originator(ingredient_en, page_ca)
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page_ca.close()
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results.append(["🇨🇦 加拿大 (DPD)", ca_b, ca_c, ca_log])
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# 🇯🇵 日本 (開啟專屬分頁)
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page_ja = context.new_page()
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ja_b, ja_c, ja_log = get_japan_originator(ingredient_ja, page_ja)
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page_ja.close()
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results.append(["🇯🇵 日本 (PMDA)", ja_b, ja_c, ja_log])
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browser.close()
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return results
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# ==========================================
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# 🎨 UI 介面
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# ==========================================
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with gr.Blocks(title="四國原廠智能檢索 (
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gr.Markdown("## 🌐 跨國原廠商品名檢索器 (支援多重商品名與防爬蟲突破)")
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with gr.Row():
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from urllib.parse import quote
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from bs4 import BeautifulSoup
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from playwright.sync_api import sync_playwright
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from curl_cffi import requests as curl_req
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import gradio as gr
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import os
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return text
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# ==========================================
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# 🇺🇸 美國 FDA Orange Book (改用 curl_cffi 突破防火牆)
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# ==========================================
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def get_usa_originator(ingredient_query):
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log = []
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brands = set()
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companies = set()
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try:
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log.append("1. 使用 curl_cffi 偽裝成 Chrome 120 發送請求...")
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session = curl_req.Session(impersonate="chrome120")
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url = "https://www.accessdata.fda.gov/scripts/cder/ob/search_product.cfm"
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# 根據您提供的 HTML,直接建構表單 Payload
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payload = {
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"drugname": ingredient_query,
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"discontinued": "RX,OTC,DISCN",
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"submit": "Search"
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}
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res = session.post(url, data=payload, timeout=30, verify=False)
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log.append("2. 成功取得 FDA 伺服器回應,解析表格...")
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soup = BeautifulSoup(res.text, 'html.parser')
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table = soup.find('table', id='example')
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if table:
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log.append("✅ 成功找到 RLD 原廠藥!")
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return ", ".join(brands), ", ".join(companies), "\n".join(log)
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else:
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log.append("❌ 表格中未發現 RLD,或該藥品尚未核准。")
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return "查無原廠", "-", "\n".join(log)
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except Exception as e:
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log.append(f"❌ 發生錯誤: {str(e)}")
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return "執行失敗", "-", "\n".join(log)
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+
|
| 74 |
+
# ==========================================
|
| 75 |
+
# 🇬🇧 英國 eMC
|
| 76 |
+
# ==========================================
|
| 77 |
+
def get_uk_originator(ingredient_query, page):
|
| 78 |
+
log = []
|
| 79 |
+
brands = set()
|
| 80 |
+
companies = set()
|
| 81 |
+
|
| 82 |
+
try:
|
| 83 |
+
log.append("1. 前往 eMC 搜尋頁面...")
|
| 84 |
+
page.goto(f"https://www.medicines.org.uk/emc/search?q={ingredient_query}", timeout=30000)
|
| 85 |
+
page.wait_for_selector('.search-results-product-info-title-link', timeout=15000)
|
| 86 |
+
|
| 87 |
+
soup = BeautifulSoup(page.content(), 'html.parser')
|
| 88 |
+
links = soup.find_all('a', class_='search-results-product-info-title-link')
|
| 89 |
+
for link in links:
|
| 90 |
+
raw_title = link.get_text(strip=True)
|
| 91 |
+
if not raw_title.lower().startswith(ingredient_query.lower()):
|
| 92 |
+
clean_brand = re.split(r'\s+\d', raw_title)[0].strip()
|
| 93 |
+
brands.add(clean_brand)
|
| 94 |
+
parent_div = link.find_parent(class_='search-results-product-info')
|
| 95 |
+
if parent_div:
|
| 96 |
+
comp_tag = parent_div.find(class_='search-results-product-info-company')
|
| 97 |
+
if comp_tag: companies.add(comp_tag.get_text(strip=True))
|
| 98 |
+
|
| 99 |
+
if brands: return ", ".join(brands), ", ".join(companies), "✅ 成功找到原廠藥!"
|
| 100 |
+
return "查無原廠", "-", "❌ 皆以成分名開頭"
|
| 101 |
+
except Exception as e: return "執行失敗", "-", str(e)
|
| 102 |
|
| 103 |
# ==========================================
|
| 104 |
+
# 🇨🇦 加拿大 DPD (修正 domcontentloaded 避免超時)
|
| 105 |
# ==========================================
|
| 106 |
def get_canada_originator(ingredient_query, page):
|
| 107 |
log = []
|
| 108 |
generic_companies = ['apotex', 'teva', 'sandoz', 'jamp', 'mint', 'pharmascience', 'sanis', 'sivem', 'auro', 'glenmark', 'taro', 'marcan', 'nora', 'mantra', 'reddy']
|
| 109 |
|
| 110 |
try:
|
| 111 |
+
log.append("1. 前往 Canada DPD (放寬載入條件)...")
|
| 112 |
+
# 🟢 修正:使用 domcontentloaded 且放寬到 45 秒
|
| 113 |
+
page.goto("https://health-products.canada.ca/dpd-bdpp/index-eng.jsp", timeout=45000, wait_until="domcontentloaded")
|
| 114 |
page.locator('input[id="activeIngredient"]').fill(ingredient_query)
|
| 115 |
page.keyboard.press("Enter")
|
| 116 |
|
|
|
|
| 125 |
rows = table.find('tbody').find_all('tr')
|
| 126 |
all_candidates = []
|
| 127 |
|
|
|
|
| 128 |
for tr in rows:
|
| 129 |
tds = tr.find_all('td')
|
| 130 |
if len(tds) >= 4:
|
| 131 |
comp_name = tds[2].get_text(strip=True)
|
| 132 |
+
if any(gc in comp_name.lower() for gc in generic_companies): continue
|
| 133 |
|
| 134 |
+
din_match = re.search(r'\d+', tds[1].get_text(strip=True))
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 135 |
if din_match:
|
|
|
|
|
|
|
| 136 |
link_tag = tds[1].find('a')
|
|
|
|
| 137 |
if link_tag:
|
|
|
|
| 138 |
all_candidates.append({
|
| 139 |
"company": comp_name,
|
| 140 |
+
"product": tds[3].get_text(strip=True),
|
| 141 |
+
"din": int(din_match.group()),
|
| 142 |
+
"url": "https://health-products.canada.ca" + link_tag['href']
|
| 143 |
})
|
| 144 |
|
| 145 |
if not all_candidates:
|
| 146 |
+
return "查無原廠", "-", "❌ 剩下的全為學名藥廠。"
|
|
|
|
| 147 |
|
|
|
|
| 148 |
all_candidates = sorted(all_candidates, key=lambda x: x['din'])
|
|
|
|
|
|
|
| 149 |
originator_company = all_candidates[0]['company']
|
| 150 |
+
log.append(f"3. 依 DIN 排序後,鎖定最古老藥廠: {originator_company}")
|
| 151 |
|
|
|
|
|
|
|
| 152 |
try:
|
|
|
|
| 153 |
page.goto(all_candidates[0]['url'], timeout=15000)
|
| 154 |
detail_soup = BeautifulSoup(page.content(), 'html.parser')
|
|
|
|
|
|
|
| 155 |
strong_tag = detail_soup.find(lambda tag: tag.name == "strong" and "Original market date" in tag.get_text(strip=True))
|
| 156 |
if strong_tag:
|
| 157 |
parent_row = strong_tag.find_parent('div', class_='row')
|
| 158 |
if parent_row:
|
| 159 |
+
date_str = parent_row.find('p', class_='col-sm-8').get_text(strip=True)
|
| 160 |
+
log.append(f"✅ 上市日: {date_str}")
|
| 161 |
+
except: pass
|
|
|
|
|
|
|
| 162 |
|
|
|
|
|
|
|
|
|
|
| 163 |
final_brands = set([c['product'] for c in all_candidates if c['company'] == originator_company])
|
| 164 |
return ", ".join(final_brands), originator_company, "\n".join(log)
|
| 165 |
|
| 166 |
+
except Exception as e: return "執行失敗", "-", str(e)
|
|
|
|
|
|
|
| 167 |
|
| 168 |
# ==========================================
|
| 169 |
+
# 🇯🇵 日本 PMDA (依據真實 HTML 精準定位)
|
| 170 |
# ==========================================
|
| 171 |
def get_japan_originator(ingredient_query_ja, page):
|
| 172 |
log = []
|
|
|
|
| 175 |
|
| 176 |
log.append(f"使用日文名: {ingredient_query_ja} 進行搜尋")
|
| 177 |
try:
|
| 178 |
+
page.goto("https://www.pmda.go.jp/PmdaSearch/iyakuSearch/", timeout=30000, wait_until="domcontentloaded")
|
|
|
|
| 179 |
|
| 180 |
try:
|
| 181 |
agree_btn = page.locator('text=同意する, input[value="同意する"], a:has-text("同意する")').first
|
| 182 |
+
if agree_btn.is_visible(timeout=3000): agree_btn.click(); page.wait_for_load_state('networkidle')
|
|
|
|
|
|
|
|
|
|
| 183 |
except: pass
|
| 184 |
|
| 185 |
+
log.append("1. 尋找輸入框並送出...")
|
| 186 |
+
# 🟢 修正:使用您提供的 id="txtName" 與 name="nameWord"
|
| 187 |
+
page.locator('input#txtName, input[name="nameWord"]').first.fill(ingredient_query_ja)
|
| 188 |
+
# 🟢 修正:使用您提供的 name="btnA" 與 type="image"
|
| 189 |
+
page.locator('input[name="btnA"], input[type="image"][src*="SearchBtn"]').first.click()
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 190 |
|
| 191 |
+
log.append("2. 等待表格 id=ResultList...")
|
| 192 |
+
page.wait_for_selector('table#ResultList', timeout=15000)
|
|
|
|
|
|
|
|
|
|
|
|
|
| 193 |
|
| 194 |
soup = BeautifulSoup(page.content(), 'html.parser')
|
| 195 |
table = soup.find('table', id='ResultList')
|
| 196 |
|
| 197 |
if table:
|
| 198 |
rows = table.find_all('tr')
|
|
|
|
| 199 |
for tr in rows:
|
| 200 |
tds = tr.find_all('td')
|
| 201 |
if len(tds) >= 3:
|
|
|
|
| 207 |
comp = tds[2].get_text(separator=" ", strip=True).replace('製造販売元/', '')
|
| 208 |
companies.add(comp)
|
| 209 |
|
| 210 |
+
if brands: return ", ".join(brands), ", ".join(companies), "✅ 成功找到原廠!"
|
| 211 |
+
return "查無原廠", "-", "❌ 皆為學名藥括號"
|
|
|
|
|
|
|
|
|
|
|
|
|
| 212 |
|
| 213 |
+
except Exception as e: return "執行失敗", "-", str(e)
|
|
|
|
|
|
|
| 214 |
|
| 215 |
# ==========================================
|
| 216 |
+
# 🚀 主執行函數 (美國使用 curl_cffi,其他使用 Playwright 分頁隔離)
|
| 217 |
# ==========================================
|
| 218 |
def run_diagnostic_search(ingredient_en, ingredient_ja_manual):
|
| 219 |
if not ingredient_en:
|
|
|
|
| 222 |
ingredient_ja = ingredient_ja_manual if ingredient_ja_manual else translate_en_to_ja(ingredient_en)
|
| 223 |
|
| 224 |
results = []
|
| 225 |
+
|
| 226 |
+
# 🇺🇸 美國:獨立使用 curl_cffi 執行,完全不受 Playwright 影響
|
| 227 |
+
us_b, us_c, us_log = get_usa_originator(ingredient_en)
|
| 228 |
+
results.append(["🇺🇸 美國 (FDA)", us_b, us_c, us_log])
|
| 229 |
+
|
| 230 |
+
# 🇬🇧🇨🇦🇯🇵 英加日:使用 Playwright 執行
|
| 231 |
with sync_playwright() as p:
|
|
|
|
| 232 |
browser = p.chromium.launch(headless=True, args=['--no-sandbox', '--disable-dev-shm-usage'])
|
| 233 |
context = browser.new_context(
|
| 234 |
user_agent="Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/122.0.0.0 Safari/537.36"
|
| 235 |
)
|
| 236 |
|
|
|
|
| 237 |
page_uk = context.new_page()
|
| 238 |
uk_b, uk_c, uk_log = get_uk_originator(ingredient_en, page_uk)
|
| 239 |
page_uk.close()
|
| 240 |
results.append(["🇬🇧 英國 (eMC)", uk_b, uk_c, uk_log])
|
| 241 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 242 |
page_ca = context.new_page()
|
| 243 |
ca_b, ca_c, ca_log = get_canada_originator(ingredient_en, page_ca)
|
| 244 |
page_ca.close()
|
| 245 |
results.append(["🇨🇦 加拿大 (DPD)", ca_b, ca_c, ca_log])
|
| 246 |
|
|
|
|
| 247 |
page_ja = context.new_page()
|
| 248 |
ja_b, ja_c, ja_log = get_japan_originator(ingredient_ja, page_ja)
|
| 249 |
page_ja.close()
|
| 250 |
results.append(["🇯🇵 日本 (PMDA)", ja_b, ja_c, ja_log])
|
| 251 |
|
| 252 |
browser.close()
|
| 253 |
+
|
| 254 |
return results
|
| 255 |
|
| 256 |
# ==========================================
|
| 257 |
# 🎨 UI 介面
|
| 258 |
# ==========================================
|
| 259 |
+
with gr.Blocks(title="四國原廠智能檢索 (抗防護終極版)") as demo:
|
| 260 |
gr.Markdown("## 🌐 跨國原廠商品名檢索器 (支援多重商品名與防爬蟲突破)")
|
| 261 |
|
| 262 |
with gr.Row():
|