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我有以下格式的文件(myfile.txt的)更換數據
{"click_id": 124, "created_at": "2017-02-03T10:51:33", "product_id": 97373, "product_price": 320.50, "user_id": 1, "ip": "null"}
{"click_id": 125, "created_at": "2017-10-03T10:52:33", "product_id": 96373, "product_price": 20.50, "user_id": 1, "ip": "London"}
{"click_id": 126, "created_at": "2017-10-03T11:50:33", "product_id": 88373, "product_price": 220.50, "user_id": 2, "ip": "London"}
功能:
def get_status(self, user_id, date):
for rec in self.RECORDS:
if rec['user_id'] == user_id and dt.datetime.strptime(rec['created_at'],'%Y-%m-%dT%H:%M:%S') == date:
return rec['status']
上述功能基於輸入返回狀態提供。狀態可以是"Valid", "Invalid", "Old", "New"
有沒有一種方法來解析myfile.txt
並補充說,通過匹配其在功能get_status
通過與一個在myfile.txt
的created_at
和user_id
返回status
關鍵?
輸出(myfile.txt的):
{"click_id": 124, "created_at": "2017-02-03T10:51:33", "product_id": 97373, "product_price": 320.50, "user_id": 1, "ip": "null","status":"New"}
{"click_id": 125, "created_at": "2017-10-03T10:52:33", "product_id": 96373, "product_price": 20.50, "user_id": 1, "ip": "London","status":"Old"}
{"click_id": 126, "created_at": "2017-10-03T11:50:33", "product_id": 88373, "product_price": 220.50, "user_id": 2, "ip": "London","status":"Valid"}
你問如何加載和解析文件,改變JSON字典,然後重寫/序列化到同一個文件? –
@PAckerman的樣子,是的 – ThatBeardTho
有沒有涉及這個類? get_status函數的參數意味着它是類的一部分。 –