我正在编写一个python脚本，该脚本应该从JSON对象获取数据，并且对于名为“ transactionID”的字典键的每个实例，该程序都应该能够返回由特定transactionID执行的最后五个事务。在导入JSON文件，从文件中获取包含'transactionID'字段的字典并将其存储在名为transaction_details的列表中之后，我不确定如何继续。 JSON对象采用以下格式；
[{
"transactionData":{
"transactionID":"tyeeeg5667557",
"deviceID": "uasjaslsa",
"IMEI":"ssjdjdssd",
"transactionDate": "12-12-2019",
"time": "11:40",
"accountDetails": {"userID": "kilopol", "creationdate": "21-12-2019"},
"Amount": {"amount": 2000, "units": "UGX", "qty":1},
"paymentMethod": {"name": "mobile money"},
"productdetails": {"productid": "12jfjf", "name": "airtime", "units":"UGX"}
},
"locationdetails": {"address":"Ntinda-Kampala", "street": "Chwa 2 Ntinda-Nakawa"},
"api key": "a9dd1d0f-a605-499a-9618-c449065d34bb",
"callbackUrl": "http://clinet.com/method",
"clientid": "5ce7baf3ffd59f2633ed64a3",
"receptiontime": 1559297122942
},
{
"transactionData":{
"transactionID":"yetrw5667557",
"deviceID": "uweyjaslsa",
"IMEI":"ssycvjdssd",
"transactionDate": "12-12-2019",
"time": "11:40",
"accountDetails": {"userID": "kimange", "creationdate": "21-12-2019"},
"Amount": {"amount": 4000, "units": "UGX", "qty":2},
"paymentMethod": {"name": "airtel money"},
"productdetails": {"productid": "12jfjf", "name": "airtime", "units":"UGX"}
},
"locationdetails": {"address":"Kamwokya-Kampala", "street": "Chwa 2 Ntinda-Nakawa"},
"api key": "a9dd1d0f-a605-499a-9618-c449065d34bb",
"callbackUrl": "http://clinet.com/method",
"clientid": "5ce7bafutwf2633ed64a3",
"receptiontime": 1559297122942
},
{
"transactionData":{
"transactionID":"tyeeeg5667557",
"deviceID": "uweyjaslsa",
"IMEI":"ssycvjdssd",
"transactionDate": "12-12-2019",
"time": "11:40",
"accountDetails": {"userID": "kimange", "creationdate": "21-12-2019"},
"Amount": {"amount": 4000, "units": "UGX", "qty":2},
"paymentMethod": {"name": "airtel money"},
"productdetails": {"productid": "12jfjf", "name": "airtime", "units":"UGX"}
},
"locationdetails": {"address":"Kamwokya-Kampala", "street": "Chwa 2 Ntinda-Nakawa"},
"api key": "a9dd1d0f-a605-499a-9618-c449065d34bb",
"callbackUrl": "http://clinet.com/method",
"clientid": "5ce7bafutwf2633ed64a3",
"receptiontime": 1559297122942
},
{
"transactionData":{
"transactionID":"tyeeeg5667557",
"deviceID": "uasjaslsa",
"IMEI":"ssjdjdssd",
"transactionDate": "12-12-2019",
"time": "11:40",
"accountDetails": {"userID": "kilopol", "creationdate": "21-12-2019"},
"Amount": {"amount": 2000, "units": "UGX", "qty":1},
"paymentMethod": {"name": "mobile money"},
"productdetails": {"productid": "12jfjf", "name": "airtime", "units":"UGX"}
},
"locationdetails": {"address":"Gulu", "street": "Burton Street"},
"api key": "a9dd1d0f-a605-499a-9618-c449065d34bb",
"callbackUrl": "http://clinet.com/method",
"clientid": "5ce7baf3ffd59f2633ed64a3",
"receptiontime": 1559297122942
},
{
"transactionData":{
"transactionID":"tyeeeg5667557",
"deviceID": "uasjaslsa",
"IMEI":"ssjdjdssd",
"transactionDate": "12-12-2019",
"time": "11:40",
"accountDetails": {"userID": "kilopol", "creationdate": "21-12-2019"},
"Amount": {"amount": 2000, "units": "UGX", "qty":1},
"paymentMethod": {"name": "mobile money"},
"productdetails": {"productid": "12jfjf", "name": "airtime", "units":"UGX"}
},
"locationdetails": {"address":"Ntinda-Kampala", "street": "Chwa 2 Ntinda-Nakawa"},
"api key": "a9dd1d0f-a605-499a-9618-c449065d34bb",
"callbackUrl": "http://clinet.com/method",
"clientid": "5ce7baf3ffd59f2633ed64a3",
"receptiontime": 1559297122942
},
{
"transactionData":{
"transactionID":"ygdras557",
"deviceID": "uasjaslsa",
"IMEI":"ssjdjdssd",
"transactionDate": "12-12-2019",
"time": "11:40",
"accountDetails": {"userID": "kilopol", "creationdate": "21-12-2019"},
"Amount": {"amount": 2000, "units": "UGX", "qty":1},
"paymentMethod": {"name": "mobile money"},
"productdetails": {"productid": "12jfjf", "name": "airtime", "units":"UGX"}
},
"locationdetails": {"address":"Ntinda-Kampala", "street": "Chwa 2 Ntinda-Nakawa"},
"api key": "a9dd1d0f-a605-499a-9618-c449065d34bb",
"callbackUrl": "http://clinet.com/method",
"clientid": "5ce7baf3ffd59f2633ed64a3",
"receptiontime": 1559297122942
},
{
"transactionData":{
"transactionID":"tyeeeg5667557",
"deviceID": "uasjaslsa",
"IMEI":"ssjdjdssd",
"transactionDate": "7-7-2019",
"time": "11:40",
"accountDetails": {"userID": "kilopol", "creationdate": "21-12-2019"},
"Amount": {"amount": 6700, "units": "UGX", "qty":1},
"paymentMethod": {"name": "mobile money"},
"productdetails": {"productid": "12jfjf", "name": "airtime", "units":"UGX"}
},
"locationdetails": {"address":"Ntinda-Kampala", "street": "Chwa 2 Ntinda-Nakawa"},
"api key": "a9dd3d9f-a605-499a-9618-c449065d34bb",
"callbackUrl": "http://clinet.com/method",
"clientid": "5ce7baf3ffd59f2633ed64a3",
"receptiontime": 1559297122942
}
]
从下面的代码开始，从创建一个名为transaction_details的列表以保存包含transactionID键的字典的位置开始，我需要一些有关如何实现此功能的帮助。
from pymongo import MongoClient
import json
class ExtractData(object):
def __init__(self, file):
self.file = file
def obtainLastFiveTransactions(self):
client = MongoClient('localhost', 27017)
database = client['database']
collection = database['collection']
with open(self.file) as f_obj:
data_file = json.load(f_obj)
collection.insert_many(data_file)
data_received = collection.find({})
for dict_data in data_received:
for key, value in dict_data.items():
if key == 'transactionData':
transactionDataValues = value
transaction_details = []
for key, value in transactionDataValues.items():
if key == 'transactionID':
transaction_details.append(transactionDataValues)
答案 0 :(得分：1)
可能不是最有效的解决方案，但是此代码片段读取json，创建一个包含transactionIds作为键的字典，然后将5个按transactionDate排序的最新事务追加到字典中。
import json
from datetime import datetime
transaction_dict = {}
with open(json_file) as f_obj:
data = json.load(f_obj)
# Sort list of transactions by transactionDate
data_sorted = sorted(
data,
key=lambda k: datetime.strptime(k['transactionData']['transactionDate'], "%d-%m-%Y").timestamp(),
reverse=True
)
# Make a dictionary with transactionIds as keys
for transaction in data_sorted:
transactionId = transaction['transactionData']['transactionID']
transaction_dict[transactionId] = []
# Append the 5 newest transaction for appropriate key
for transaction in data_sorted:
transactionId = transaction['transactionData']['transactionID']
if len(transaction_dict[transactionId]) < 6:
transaction_dict[transactionId].append(transaction)
import json
from datetime import datetime
transaction_key = 'xxxx'
transaction_dict = {
transaction_key: []
}
transactions = []
with open(json_file) as f_obj:
data = json.load(f_obj)
for transaction in data:
if transaction['transactionData']['transactionID'] == transaction_key:
transactions.append(transaction)
# Sort list of transactions by transactionDate
data_sorted = sorted(
transactions,
key=lambda k: datetime.strptime(k['transactionData']['transactionDate'], "%d-%m-%Y").timestamp(),
reverse=True
)
# Append the 5 newest transaction for appropriate key
for transaction in transactions:
if len(transaction_dict[transaction_key]) < 6:
transaction_dict[transaction_key].append(transaction)
希望这会有所帮助！