为什么我从代码中收到“无”输出以从Yelp API获取评论？

Question

我编写了以下代码，但是，在我的输出中，我仅收到yelp id，对于每个检查列，我均将“ None”作为输出。为什么会发生这种情况？我的目标是通过Python打Yelp API来检索最新的3条评论。 我已经参考了文档：https://www.yelp.com/developers/documentation/v3/business_match

from __future__ import print_function
#import yelpSDK
import json
#from pandas import *
#import pdb
import pandas as pd
import datetime
#import geocoder
#from geopy.geocoders import Nominatim


import argparse
import json
import pprint
import requests
import sys
import urllib


# This client code can run on Python 2.x or 3.x.  Your imports can be
# simpler if you only need one of those.
try:
    # For Python 3.0 and later
    from urllib.error import HTTPError
    from urllib.parse import quote
    from urllib.parse import urlencode
except ImportError:
    # Fall back to Python 2's urllib2 and urllib
    from urllib2 import HTTPError
    from urllib import quote
    from urllib import urlencode
API_KEY = 'abc'

# API constants, you shouldn't have to change these.
API_HOST = 'https://api.yelp.com'
SEARCH_PATH = '/v3/businesses/search'
BUSINESS_PATH = '/v3/businesses/'  # Business ID will come after slash.
BUSINESS_MATCHES_PATH = '/v3/businesses/matches'
BUSINESS_REVIEWS_PATH = '/v3/businesses/{id}/reviews'
# Defaults for our simple example.
DEFAULT_TERM = 'dinner'
DEFAULT_LOCATION = 'San Francisco, CA'
SEARCH_LIMIT = 3


def request(host, path, api_key, url_params=None):
    """Given your API_KEY, send a GET request to the API.
    Args:
        host (str): The domain host of the API.
        path (str): The path of the API after the domain.
        API_KEY (str): Your API Key.
        url_params (dict): An optional set of query parameters in the request.
    Returns:
        dict: The JSON response from the request.
    Raises:
        HTTPError: An error occurs from the HTTP request.
    """
    url_params = url_params or {}
    url = '{0}{1}'.format(host, quote(path.encode('utf8')))
    headers = {
        'Authorization': 'Bearer %s' % api_key,
    }

    print(u'Querying {0} ...'.format(url))

    response = requests.request('GET', url, headers=headers, params=url_params)
    return response.json()

def search_matches(api_key, business):
    """Query the Search API by a search term and location.
    Args:
        term (str): The search term passed to the API.
        location (str): The search location passed to the API.
    Returns:
        dict: The JSON response from the request.
    """

    url_params = {
        'name': business['name'],#replace(' ', '+'),
        'address1': business['address1'],#.replace(' ', '+'),
        'city': business['city'],#.replace(' ', '+'),
        'state': business['state'],#.replace(' ', '+'),
        'zip_code': business['zip_code'],#.replace(' ', '+'),
        'country': business['country']#.replace(' ', '+')
    }
    return request(API_HOST, BUSINESS_MATCHES_PATH, api_key, url_params=url_params)


def get_business(API_KEY, business_id):
    """Query the Business API by a business ID.
    Args:
        business_id (str): The ID of the business to query.
    Returns:
        dict: The JSON response from the request.
    """
    business_path = BUSINESS_REVIEWS_PATH + business_id

    return request(API_HOST, business_path, API_KEY)


def get_business_id(business):
    #import pdb; pdb.set_trace()
    try:
        business_id = search_matches(API_KEY, business)

        b_id = business_id['businesses'][0]['id']
    except:
        b_id = 'None'
    return b_id


df=pd.read_csv("InsuredEVG_sample10.csv", encoding='cp1252')
df['zip_code']=df['zip_code'].apply(str)

df1 = df.to_dict(orient='record') 

length = len(df1)
input_range = list(range(0, length)) 

def id_loop(df1):
    empty = []
    for i in input_range:
        business_id = get_business_id(df1[i])
        empty.append(business_id)
    return empty

a = id_loop(df1)

def get_reviews(business_id):
    review0 = []
    review1 = []
    review2 = []


    for i in input_range:
        business_detail = get_business(API_KEY,business_id[i])
        try:           
            rev0 = business_detail['text']
        except:
            rev0 = 'None'
        try:           
            rev1 = business_detail['text']
        except:
            rev1 = 'None'
        try:           
            rev2 = business_detail['text']
        except:
            rev2 = 'None'       
        review0.append(rev0)
        review1.append(rev1)
        review2.append(rev2)

    return review0, review1, review2

b = get_reviews(a)
df['rev0'] = b[0]
df['rev1'] = b[1]
df['rev2'] = b[2]


df.to_csv('InsuredEVG_sample10_Output_revs3.csv')