foodlist.py

import requests
import json
import time
import cconv
import random
import geopandas as gpd
import pandas as pd
import numpy as np
from shapely import geometry
import time
import os
import matplotlib
from shapely.affinity import scale
import contextily as cx
import matplotlib.pyplot as plt
from shapely.geometry import Point
from geopandas import GeoDataFrame
from shapely.geometry import Point, Polygon
import random


def get_data(query, tag, cent):
    api_key = "Tkln1WcdGhLNyhxR6KiMVVUKjY6TtrWV"
    urls = []
    for i in range(0, 1):
        url = 'https://api.map.baidu.com/place/v2/search?query=' + query + \
                '&tag=' + tag + '&location=' + cent + '&radius=1000&scope=2&output=json&page_size=20&page_num=' + \
                str(i) + '&radius_limit=false&ak=' + api_key
        urls.append(url)
    gdf_allpage_points = gpd.GeoDataFrame()
    for i, url in enumerate(urls):
        try:
            print('{},{}'.format(i, cent))
            js = requests.get(url).text
            data = json.loads(js)
            if data['status'] == 0:
                if data['total'] == 0:
                    print(url)
                    print(js)
                else:
                    if len(data['results']) == 0:
                        print(url)
                    else:
                        print(url)
                        for item in data['results']:
                            if 'address' in item:                                    
                                js = {}
                                js['name'] = item['name']
                                js['lat_bd'] = item['location']['lat']
                                js['lng_bd'] = item['location']['lng']
                                js['address'] = item['address']
                                js['uid'] = item['uid']
                                js['province'] = item['province']
                                js['city'] = item['city']
                                js['area'] = item['area']
                                js['category'] = query
                                js['tag_drop'] = item['detail_info']['tag']
                                
                                if 'overall_rating' in item['detail_info']:
                                    js['overall_rating'] = "评分：" + item['detail_info']['overall_rating']
                                else:
                                    js['overall_rating'] = " "
                                if 'label' in item['detail_info']:
                                    js['label'] = "类型：" + item['detail_info']['label']
                                else:
                                    js['label'] = " "
                                if 'shop_hours' in item['detail_info']:
                                    js['shop_hours'] = "营业时间：" + item['detail_info']['shop_hours']
                                else:
                                    js['shop_hours'] = " "
                                if 'price' in item['detail_info']:
                                    js['price'] = "人均价格：" + item['detail_info']['price'] + "￥"
                                else:
                                    js['price'] = " "
                                if ";" in js['tag_drop']:
                                    js['tag'] = js['tag_drop'].split(";")[1]
                                else:
                                    js['tag'] = tag

                                js['lat_wgs84'] = cconv.bd09_to_wgs84(js['lng_bd'], js['lat_bd'])[1]
                                js['lng_wgs84'] = cconv.bd09_to_wgs84(js['lng_bd'], js['lat_bd'])[0]
                                
                                js['geometry'] = [Point(js['lng_wgs84'],js['lat_wgs84'])]
                                gdf_item = gpd.GeoDataFrame(js)
                                gdf_allpage_points = pd.concat([gdf_allpage_points,gdf_item], ignore_index=True)

                            else:
                                js = {}
                                js['name'] = item['name']
                                js['lat_bd'] = item['location']['lat']
                                js['lng_bd'] = item['location']['lng']
                                js['address'] = '无'
                                js['uid'] = item['uid']
                                js['province'] = item['province']
                                js['city'] = item['city']
                                js['area'] = item['area']
                                js['category'] = query
                                js['tag_drop'] = item['detail_info']['tag']
                                if 'overall_rating' in item['detail_info']:
                                    js['overall_rating'] = "评分：" + item['detail_info']['overall_rating']
                                else:
                                    js['overall_rating'] = " "
                                if 'label' in item['detail_info']:
                                    js['label'] = "类型：" + item['detail_info']['label']
                                else:
                                    js['label'] = " "
                                if 'shop_hours' in item['detail_info']:
                                    js['shop_hours'] = "营业时间：" + item['detail_info']['shop_hours']
                                else:
                                    js['shop_hours'] = " "
                                if 'price' in item['detail_info']:
                                    js['price'] = "人均价格：" + item['detail_info']['price'] + "￥"
                                else:
                                    js['price'] = " "
                                if ";" in js['tag_drop']:
                                    js['tag'] = js['tag_drop'].split(";")[1]
                                else:
                                    js['tag'] = tag    
                                js['lat_wgs84'] = cconv.bd09_to_wgs84(js['lng_bd'], js['lat_bd'])[1]
                                js['lng_wgs84'] = cconv.bd09_to_wgs84(js['lng_bd'], js['lat_bd'])[0]
                                js['geometry'] = [Point(js['lng_wgs84'],js['lat_wgs84'])]
                                gdf_item = gpd.GeoDataFrame(js)
                                gdf_allpage_points = pd.concat([gdf_allpage_points,gdf_item], ignore_index=True)
            elif data['status'] == 302:
                print('————————error—302———————')

            elif data['status'] == 401:
                print('————————error——401——————')
            else:
                print('————————error——unknow——————')
                
        except:
            print('————————error————unknow————————')
    
    return gdf_allpage_points

def get_isochrone_from_mapbox(travel_mode,coordinates,contours_minutes):
    url = f'https://api.mapbox.com/isochrone/v1/mapbox/{travel_mode}/{coordinates}?contours_minutes={contours_minutes}&polygons=true&denoise=1&access_token=pk.eyJ1IjoibGxsMzE5OTciLCJhIjoiY2w4anl6b2k5MGRxbjN4bXB1YzV6c3loaCJ9.ec49ySYxrKQWc5uyNHrzdA'
    try:
            data = requests.get(url,timeout=(3,7))
    except:
        return None

    if data.status_code == requests.codes.ok:
        data = json.loads(data.text)
    else:
        return None

    time = []
    travel = []
    geometry = []
    coords = []
    for i in range(len(data['features'])):
        for j in range(len(data['features'][i]['geometry']['coordinates'])):
            time.append(data['features'][i]['properties']['contour'])
            travel.append(travel_mode)
            coords.append(coordinates)
            geometry.append(
                Polygon(data['features'][i]['geometry']['coordinates'][j]))
    gdf = gpd.GeoDataFrame()
    gdf['time'] = time
    gdf['travel_mode'] = travel
    gdf['coordinates_wgs84'] = coordinates
    gdf.geometry = geometry
    return gdf