使用Python将JSON数据从API发送到Firestore的最佳方式

我通过API收到了带有亚马逊搜索结果的JSON数据，我正试图将其发送到我的firestore数据库。我想它是一个产品的集合，已经被搜索

这意味着；对于搜索结果中的每个职位（产品），我希望将其存储为文档。我手工制作了这个集合，以展示它的样子

我已经用下面的代码将JSON转换成可读的JSON

json_api = api_result.json()

def convert_json_to_dict(json_api):
    with open(json_api) as JSON:
        json_dict = json.load(JSON)
    return json_dict


def convert_dict_to_df(json_api):
    return pd.json_normalize(convert_json_to_dict(json_api))

这给了我以下数据，我想处理。它是元数据和前两个位置

{'request_info': {'success': True,
  'credits_used': 46,
  'credits_remaining': 54,
  'credits_used_this_request': 1},
 'request_metadata': {'created_at': '2021-02-25T10:17:35.565Z',
  'processed_at': '2021-02-25T10:17:39.793Z',
  'total_time_taken': 4.23,
  'amazon_url': 'https://www.amazon.com/s/?k=beetle+chair&ref=nb_sb_noss_2'},
 'request_parameters': {'amazon_domain': 'amazon.com',
  'type': 'search',
  'search_term': 'beetle chair'},
 'search_results': [{'position': 1,
   'title': 'CosmoLiving by Cosmopolitan Astor Dining Chair Green',
   'asin': 'B07P6T73Y3',
   'link': 'https://www.amazon.com/dp/B07P6T73Y3',
   'categories': [{'name': 'All Departments', 'id': 'search-alias=aps'}],
   'image': 'https://m.media-amazon.com/images/I/81F4zscz2OL._AC_UL320_.jpg',
   'is_prime': True,
   'is_amazon_fresh': False,
   'is_whole_foods_market': False,
   'rating': 4.1,
   'ratings_total': 232,
   'sponsored': False,
   'prices': [{'symbol': '$',
     'value': 99.99,
     'currency': 'USD',
     'raw': '$99.99'}],
   'price': {'symbol': '$',
    'value': 99.99,
    'currency': 'USD',
    'raw': '$99.99'},
   'delivery': {'tagline': 'Get it as soon as Fri, Mar 5',
    'price': {'raw': 'FREE Shipping by Amazon',
     'symbol': '$',
     'currency': 'USD',
     'value': 0,
     'is_free': True}}},
  {'position': 2,
   'title': 'Guyou Modern Plush Velvet Accent Chairs, Upholstered Round Back Dining Chairs Living Room Decor Set of 2 with Brass Legs (Emerald Green)',
   'asin': 'B085NKFJ2Y',
   'link': 'https://www.amazon.com/dp/B085NKFJ2Y',
   'categories': [{'name': 'All Departments', 'id': 'search-alias=aps'}],
   'image': 'https://m.media-amazon.com/images/I/51Evpn0iw-L._AC_UL320_.jpg',
   'is_prime': False,
   'is_amazon_fresh': False,
   'is_whole_foods_market': False,
   'rating': 4.5,
   'ratings_total': 38,
   'sponsored': False,
   'prices': [{'symbol': '$',
     'value': 159.83,
     'currency': 'USD',
     'raw': '$159.83'}],
   'price': {'symbol': '$',
    'value': 159.83,
    'currency': 'USD',
    'raw': '$159.83'},
   'delivery': {'price': {'raw': 'FREE Shipping',
     'symbol': '$',
     'currency': 'USD',
     'value': 0,
     'is_free': True}}},

---

其目的是在数千种产品上使用它。

您可以创建一个for循环，为每个

搜索结果创建一个文档，并使用asin作为文档名称

使用您的数据集，我必须修复您显示的数据集，因为它是无效的JSON，以下是用于测试的数据集：

data = {'request_info': {'success': True,
  'credits_used': 46,
  'credits_remaining': 54,
  'credits_used_this_request': 1},
 'request_metadata': {'created_at': '2021-02-25T10:17:35.565Z',
  'processed_at': '2021-02-25T10:17:39.793Z',
  'total_time_taken': 4.23,
  'amazon_url': 'https://www.amazon.com/s/?k=beetle+chair&ref=nb_sb_noss_2'},
 'request_parameters': {'amazon_domain': 'amazon.com',
  'type': 'search',
  'search_term': 'beetle chair'},
 'search_results': [{'position': 1,
   'title': 'CosmoLiving by Cosmopolitan Astor Dining Chair Green',
   'asin': 'B07P6T73Y3',
   'link': 'https://www.amazon.com/dp/B07P6T73Y3',
   'categories': [{'name': 'All Departments', 'id': 'search-alias=aps'}],
   'image': 'https://m.media-amazon.com/images/I/81F4zscz2OL._AC_UL320_.jpg',
   'is_prime': True,
   'is_amazon_fresh': False,
   'is_whole_foods_market': False,
   'rating': 4.1,
   'ratings_total': 232,
   'sponsored': False,
   'prices': [{'symbol': '$',
     'value': 99.99,
     'currency': 'USD',
     'raw': '$99.99'}],
   'price': {'symbol': '$',
    'value': 99.99,
    'currency': 'USD',
    'raw': '$99.99'},
   'delivery': {'tagline': 'Get it as soon as Fri, Mar 5',
    'price': {'raw': 'FREE Shipping by Amazon',
     'symbol': '$',
     'currency': 'USD',
     'value': 0,
     'is_free': True}}},
  {'position': 2,
   'title': 'Guyou Modern Plush Velvet Accent Chairs, Upholstered Round Back Dining Chairs Living Room Decor Set of 2 with Brass Legs (Emerald Green)',
   'asin': 'B085NKFJ2Y',
   'link': 'https://www.amazon.com/dp/B085NKFJ2Y',
   'categories': [{'name': 'All Departments', 'id': 'search-alias=aps'}],
   'image': 'https://m.media-amazon.com/images/I/51Evpn0iw-L._AC_UL320_.jpg',
   'is_prime': False,
   'is_amazon_fresh': False,
   'is_whole_foods_market': False,
   'rating': 4.5,
   'ratings_total': 38,
   'sponsored': False,
   'prices': [{'symbol': '$',
     'value': 159.83,
     'currency': 'USD',
     'raw': '$159.83'}],
   'price': {'symbol': '$',
    'value': 159.83,
    'currency': 'USD',
    'raw': '$159.83'},
   'delivery': {'price': {'raw': 'FREE Shipping',
     'symbol': '$',
     'currency': 'USD',
     'value': 0,
     'is_free': True}}}]}

使用此示例，您可以执行以下操作：

import firebase_admin
from firebase_admin import credentials
from firebase_admin import firestore

# Use a service account
cred = credentials.Certificate('path/to/serviceAccount.json')
firebase_admin.initialize_app(cred)

db = firestore.client()
for result in data["search_results"]:
    doc_ref = db.collection(u'amazon').document(result["asin"])
    doc_ref.set(result)

这将使用asin创建一个文档，但它可以是您想要的任何其他id，甚至可以是使用
db.collection（u'amazon'）.document（“position:+str（result[“position”]））搜索结果上的位置。

下面是如果您使用asin作为文档名时的外观。

是关于通过设置服务帐户和一些代码片段快速启动PythonFireStore的更多信息