[英]Python and Json - Best way to pull out sections of data from API?
[英]Best way to send JSON data from API to Firestore with Python
我已收到 JSON 數據,其中包含通過 API 進行的亞馬遜搜索結果,我正在嘗試將其發送到我的 Firestore 數據庫。 我希望它是一個已經搜索過的產品集合。
這表示; 對於搜索結果中的每個 position(產品),我想將其存儲為文檔嗎? 我已經手動制作了這個集合以展示它的外觀。
我已使用以下代碼將 JSON 轉換為可讀的 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))
這給了我以下數據,我想處理。 它是元數據和前兩個位置。
{'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}}},
目的是在數千種產品上使用它。
您可以創建一個 for 循環來為每個search_result
創建一個文檔,並使用 asin 作為文檔名稱。
使用您的數據集,我必須修復您顯示的數據集,因為它是無效的 JSON,這是用於測試的數據集:
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,您可以執行以下操作:
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)
這將使用 asin 創建一個文檔,但它可以是您想要的任何其他 id,甚至可以是 position 使用db.collection(u'amazon').document("position: " + str(result["position"]))
以下是有關通過設置服務帳戶和一些代碼片段快速啟動 python firestore 的更多信息
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