import gradio as gr import requests import json import os import pandas as pd from geopy.distance import geodesic # =============== 7-11 所需常數 =============== # 請確認此處的 MID_V 是否有效，若過期請更新 MID_V = "W0_DiF4DlgU5OeQoRswrRcaaNHMWOL7K3ra3385ocZcv-bBOWySZvoUtH6j-7pjiccl0C5h30uRUNbJXsABCKMqiekSb7tdiBNdVq8Ro5jgk6sgvhZla5iV0H3-8dZfASc7AhEm85679LIK3hxN7Sam6D0LAnYK9Lb0DZhn7xeTeksB4IsBx4Msr_VI" # 請填入有效的 mid_v USER_AGENT_7_11 = "Mozilla/5.0 (iPhone; CPU iPhone OS 17_6_1 like Mac OS X) AppleWebKit/605.1.15 (KHTML, like Gecko) Mobile/15E148" API_7_11_BASE = "https://lovefood.openpoint.com.tw/LoveFood/api" # =============== FamilyMart 所需常數 =============== FAMILY_PROJECT_CODE = "202106302" # 若有需要請自行調整 API_FAMILY = "https://stamp.family.com.tw/api/maps/MapProductInfo" # 3 公里範圍 MAX_DISTANCE = 3000 # ----------------------------------------------------------- # 7-11: 取得 AccessToken # ----------------------------------------------------------- def get_7_11_token(): url = f"{API_7_11_BASE}/Auth/FrontendAuth/AccessToken?mid_v={MID_V}" headers = { "user-agent": USER_AGENT_7_11 } resp = requests.post(url, headers=headers, data="") resp.raise_for_status() js = resp.json() if not js.get("isSuccess"): raise RuntimeError(f"取得 7-11 token 失敗: {js}") token = js["element"] return token # ----------------------------------------------------------- # 7-11: 取得附近門市清單 (含剩餘即期品總數量) # ----------------------------------------------------------- def get_7_11_nearby_stores(token, lat, lon): url = f"{API_7_11_BASE}/Search/FrontendStoreItemStock/GetNearbyStoreList?token={token}" headers = { "user-agent": USER_AGENT_7_11, "content-type": "application/json", } body = { "CurrentLocation": {"Latitude": lat, "Longitude": lon}, "SearchLocation": {"Latitude": lat, "Longitude": lon} } resp = requests.post(url, headers=headers, json=body) resp.raise_for_status() js = resp.json() if not js.get("isSuccess"): raise RuntimeError(f"取得 7-11 附近門市失敗: {js}") return js["element"].get("StoreStockItemList", []) # ----------------------------------------------------------- # 7-11: 取得單一門市的即期品清單 # ----------------------------------------------------------- def get_7_11_store_detail(token, lat, lon, store_no): url = f"{API_7_11_BASE}/Search/FrontendStoreItemStock/GetStoreDetail?token={token}" headers = { "user-agent": USER_AGENT_7_11, "content-type": "application/json", } body = { "CurrentLocation": {"Latitude": lat, "Longitude": lon}, "StoreNo": store_no } resp = requests.post(url, headers=headers, json=body) resp.raise_for_status() js = resp.json() if not js.get("isSuccess"): raise RuntimeError(f"取得 7-11 門市({store_no})資料失敗: {js}") return js["element"].get("StoreStockItem", {}) # ----------------------------------------------------------- # FamilyMart: 取得附近門市即期品清單 (單次呼叫可拿到所有商品細項) # ----------------------------------------------------------- def get_family_nearby_stores(lat, lon): headers = { "Content-Type": "application/json;charset=utf-8", } body = { "ProjectCode": FAMILY_PROJECT_CODE, "latitude": lat, "longitude": lon } resp = requests.post(API_FAMILY, headers=headers, json=body) resp.raise_for_status() js = resp.json() # 根據回傳範例，成功時 code 為 1 if js.get("code") != 1: raise RuntimeError(f"取得全家門市資料失敗: {js}") return js["data"] # ----------------------------------------------------------- # Gradio 查詢邏輯 # ----------------------------------------------------------- def find_nearest_store(address, lat, lon): print(f"🔍 收到查詢請求: address={address}, lat={lat}, lon={lon}") if lat == 0 or lon == 0: return [["❌ 請輸入地址或提供 GPS 座標", "", "", "", ""]] result_rows = [] # ------------------ 7-11 ------------------ try: token_711 = get_7_11_token() nearby_stores_711 = get_7_11_nearby_stores(token_711, lat, lon) for store in nearby_stores_711: dist_m = store.get("Distance", 999999) if dist_m <= MAX_DISTANCE: store_no = store.get("StoreNo") store_name = store.get("StoreName", "7-11 未提供店名") remaining_qty = store.get("RemainingQty", 0) if remaining_qty > 0: detail = get_7_11_store_detail(token_711, lat, lon, store_no) for cat in detail.get("CategoryStockItems", []): cat_name = cat.get("Name", "") for item in cat.get("ItemList", []): item_name = item.get("ItemName", "") item_qty = item.get("RemainingQty", 0) # 在最後加一個 float 距離欄位以便排序 row = [ f"7-11 {store_name}", f"{dist_m:.1f} m", f"{cat_name} - {item_name}", str(item_qty), dist_m # 供排序用 ] result_rows.append(row) else: row = [ f"7-11 {store_name}", f"{dist_m:.1f} m", "即期品 0 項", "0", dist_m # 供排序用 ] result_rows.append(row) except Exception as e: print(f"❌ 取得 7-11 即期品時發生錯誤: {e}") # ------------------ FamilyMart ------------------ try: nearby_stores_family = get_family_nearby_stores(lat, lon) for store in nearby_stores_family: dist_m = store.get("distance", 999999) if dist_m <= MAX_DISTANCE: store_name = store.get("name", "全家 未提供店名") info_list = store.get("info", []) has_item = False for big_cat in info_list: big_cat_name = big_cat.get("name", "") for subcat in big_cat.get("categories", []): subcat_name = subcat.get("name", "") for product in subcat.get("products", []): product_name = product.get("name", "") qty = product.get("qty", 0) if qty > 0: has_item = True row = [ f"全家 {store_name}", f"{dist_m:.1f} m", f"{big_cat_name} - {subcat_name} - {product_name}", str(qty), dist_m # 供排序用 ] result_rows.append(row) if not has_item: row = [ f"全家 {store_name}", f"{dist_m:.1f} m", "即期品 0 項", "0", dist_m # 供排序用 ] result_rows.append(row) except Exception as e: print(f"❌ 取得全家 即期品時發生錯誤: {e}") if not result_rows: return [["❌ 附近 3 公里內沒有即期食品", "", "", "", ""]] # ============= 在這裡進行排序 ============= # result_rows 的結構是 [門市, 距離(字串), 商品, 數量, float_distance] # 我們要依照最後一欄 float_distance 做由小到大排序 result_rows.sort(key=lambda x: x[4]) # 排序完之後，再把最後一欄刪掉 (不顯示給使用者) for row in result_rows: row.pop() # 移除 index=4 (float_distance) return result_rows # ----------------------------------------------------------- # Gradio 介面 # ----------------------------------------------------------- import gradio as gr with gr.Blocks() as demo: gr.Markdown("## 便利商店「即期食品」搜尋示範") gr.Markdown(""" 1. 按下「使用目前位置」或自行輸入緯度/經度 2. 點選「搜尋」查詢 3 公里內 7-11 / 全家的即期品 3. 若要執行，需要有效的 mid_v (7-11 愛食記憶官網) 4. 在 Logs 查看詳細錯誤或除錯資訊 """) address = gr.Textbox(label="輸入地址(可留空)") lat = gr.Number(label="GPS 緯度", value=0, elem_id="lat") lon = gr.Number(label="GPS 經度", value=0, elem_id="lon") with gr.Row(): gps_button = gr.Button("📍 ❶ 使用目前位置-先按這個 並等待3秒 ", elem_id="gps-btn") search_button = gr.Button("🔍 ❷ 搜尋 ") output_table = gr.Dataframe( headers=["門市", "距離 (m)", "商品/即期食品", "數量"], interactive=False ) search_button.click(fn=find_nearest_store, inputs=[address, lat, lon], outputs=output_table) gps_button.click( None, None, [lat, lon], js=""" () => { return new Promise((resolve) => { if (!navigator.geolocation) { alert("您的瀏覽器不支援地理位置功能"); resolve([0, 0]); return; } navigator.geolocation.getCurrentPosition( (position) => { resolve([position.coords.latitude, position.coords.longitude]); }, (error) => { alert("無法取得位置：" + error.message); resolve([0, 0]); } ); }); } """ ) def main(): demo.launch(server_name="0.0.0.0", server_port=7860, debug=True) if __name__ == "__main__": main()