如何在Python Boto3中设置DynamoDB扫描的格式，使其对html具有可读性？

Question

我有一个python boto3应用程序正在flask中运行。主要目标是将列表检索格式化为人类可读的。如：我希望列表返回为：

Employee Name        Employee ID
 Finn                  1001
 Jake                  1002
 Bubblegum             1003
 Marceline             1004
 BMO                   1005

等等

当前，当我得到完整表检索的响应时，它看起来是这样的：

[{'EmployeeID': Decimal('1007'), 'Employee Name': 'Lumpy Space Princess'}, {'EmployeeID': Decimal('1021'), 'Employee Name': 'Glob'}, {'EmployeeID': Decimal('1029'), 'Employee Name': 'Snail'}, {'EmployeeID': Decimal('1038'), 'Employee Name': 'Banana Guard #216'}, {'EmployeeID': Decimal('1010'), 'Employee Name': 'Martin Mertens'}, {'EmployeeID': Decimal('1015'), 'Employee Name': 'Patience St. Pim'}, {'EmployeeID': Decimal('1035'), 'Employee Name': 'Cinnamon Bun'}, {'EmployeeID': Decimal('1002'), 'Employee Name': 'Jake'}, {'EmployeeID': Decimal('1018'), 'Employee Name': 'GOLB'}, {'EmployeeID': Decimal('1008'), 'Employee Name': 'Flame Princess'}, {'EmployeeID': Decimal('1032'), 'Employee Name': 'Jermaine'}, {'EmployeeID': Decimal('1014'), 'Employee Name': 'Earl of Lemongrab'}, {'EmployeeID': Decimal('1022'), 'Employee Name': 'Grod'}, {'EmployeeID': Decimal('1009'), 'Employee Name': 'Lady Rainicorn'}, {'EmployeeID': Decimal('1034'), 'Employee Name': 'Margaret'}, {'EmployeeID': Decimal('1023'), 'Employee Name': 'King of Mars'}, {'EmployeeID': Decimal('1001'), 'Employee Name': 'Finn'}, {'EmployeeID': Decimal('1025'), 'Employee Name': 'Tiny Manticore'}, {'EmployeeID': Decimal('1005'), 'Employee Name': 'Marceline The Vampire Queen'}, {'EmployeeID': Decimal('1005'), 'Employee Name': 'Marceline the Vampire Queen'}, {'EmployeeID': Decimal('1017'), 'Employee Name': 'Uncle Gumbald'}, {'EmployeeID': Decimal('1036'), 'Employee Name': 'Starchy'}, {'EmployeeID': Decimal('1026'), 'Employee Name': 'Magic Man'}, {'EmployeeID': Decimal('1037'), 'Employee Name': 'Banana Guard #1'}, {'EmployeeID': Decimal('1011'), 'Employee Name': 'Betty Grof'}, {'EmployeeID': Decimal('1012'), 'Employee Name': 'King of Ooo'}, {'EmployeeID': Decimal('1030'), 'Employee Name': 'Huntress Wizard'}, {'EmployeeID': Decimal('1006'), 'Employee Name': 'BMO'}, {'EmployeeID': Decimal('1031'), 'Employee Name': 'Forest Spirit'}, {'EmployeeID': Decimal('1016'), 'Employee Name': 'Fern'}, {'EmployeeID': Decimal('1033'), 'Employee Name': 'Joshua '}, {'EmployeeID': Decimal('1003'), 'Employee Name': 'Bonnibel Bubblegum'}, {'EmployeeID': Decimal('1024'), 'Employee Name': 'Death'}, {'EmployeeID': Decimal('1020'), 'Employee Name': 'Gob'}, {'EmployeeID': Decimal('1027'), 'Employee Name': 'Prismo'}, {'EmployeeID': Decimal('1019'), 'Employee Name': 'Grob'}, {'EmployeeID': Decimal('1028'), 'Employee Name': 'Gunter'}, {'EmployeeID': Decimal('1013'), 'Employee Name': 'Hunson Abadeer'}]

这只是一个因素。它既没有顺序，又有所有的元数据。我在谷歌上搜索了所有内容，但我不知道如何将实际数据字段提取到一个列表中，以实现HTML与人类可读的兼容性

我的检索结果如下所示：

resource = boto3.resource('dynamodb',
aws_access_key_id="AAAAAAAAAAAAAAAAAAAA",
aws_secret_access_key="BBBBBBBBBBBBBBBBBBBBBB",
region_name='us-east-1')
    table = resource.Table('external-data')

    response = table.scan()
    data = response['Items']

while 'LastEvaluatedKey' in response:
response = table.scan(ExclusiveStartKey=response['LastEvaluatedKey'])
        data.append(response['Items'])

    ansExit = ''
    return str(data)

我已经尝试创建一个列表并将每个响应作为一个元素附加，但是这个响应只是一个元素。我想我需要把它分解成一个数组，这样我就可以把它打印成HTML格式的arr[I，j]，其中arr[1,1]=“1001”、arr[1,2]=“Finn”、arr[2,1]=“1002”、arr[2,2]=“Jake”，等等。这是正确的方向吗？我甚至不确定这是否可能，或者这是否就是DynamoDB数据的读取方式

我只想隔离姓名和员工编号，这样我就可以在没有元数据的情况下打印它们

多谢各位

Answer 1

您可以使用pandas包：

import pandas as pd
from decimal import Decimal

data = [{'EmployeeID': Decimal('1007'), 'Employee Name': 'Lumpy Space Princess'}, {'EmployeeID': Decimal('1021'), 'Employee Name': 'Glob'}, {'EmployeeID': Decimal('1029'), 'Employee Name': 'Snail'}, {'EmployeeID': Decimal('1038'), 'Employee Name': 'Banana Guard #216'}, {'EmployeeID': Decimal('1010'), 'Employee Name': 'Martin Mertens'}, {'EmployeeID': Decimal('1015'), 'Employee Name': 'Patience St. Pim'}, {'EmployeeID': Decimal('1035'), 'Employee Name': 'Cinnamon Bun'}, {'EmployeeID': Decimal('1002'), 'Employee Name': 'Jake'}, {'EmployeeID': Decimal('1018'), 'Employee Name': 'GOLB'}, {'EmployeeID': Decimal('1008'), 'Employee Name': 'Flame Princess'}, {'EmployeeID': Decimal('1032'), 'Employee Name': 'Jermaine'}, {'EmployeeID': Decimal('1014'), 'Employee Name': 'Earl of Lemongrab'}, {'EmployeeID': Decimal('1022'), 'Employee Name': 'Grod'}, {'EmployeeID': Decimal('1009'), 'Employee Name': 'Lady Rainicorn'}, {'EmployeeID': Decimal('1034'), 'Employee Name': 'Margaret'}, {'EmployeeID': Decimal('1023'), 'Employee Name': 'King of Mars'}, {'EmployeeID': Decimal('1001'), 'Employee Name': 'Finn'}, {'EmployeeID': Decimal('1025'), 'Employee Name': 'Tiny Manticore'}, {'EmployeeID': Decimal('1005'), 'Employee Name': 'Marceline The Vampire Queen'}, {'EmployeeID': Decimal('1005'), 'Employee Name': 'Marceline the Vampire Queen'}, {'EmployeeID': Decimal('1017'), 'Employee Name': 'Uncle Gumbald'}, {'EmployeeID': Decimal('1036'), 'Employee Name': 'Starchy'}, {'EmployeeID': Decimal('1026'), 'Employee Name': 'Magic Man'}, {'EmployeeID': Decimal('1037'), 'Employee Name': 'Banana Guard #1'}, {'EmployeeID': Decimal('1011'), 'Employee Name': 'Betty Grof'}, {'EmployeeID': Decimal('1012'), 'Employee Name': 'King of Ooo'}, {'EmployeeID': Decimal('1030'), 'Employee Name': 'Huntress Wizard'}, {'EmployeeID': Decimal('1006'), 'Employee Name': 'BMO'}, {'EmployeeID': Decimal('1031'), 'Employee Name': 'Forest Spirit'}, {'EmployeeID': Decimal('1016'), 'Employee Name': 'Fern'}, {'EmployeeID': Decimal('1033'), 'Employee Name': 'Joshua '}, {'EmployeeID': Decimal('1003'), 'Employee Name': 'Bonnibel Bubblegum'}, {'EmployeeID': Decimal('1024'), 'Employee Name': 'Death'}, {'EmployeeID': Decimal('1020'), 'Employee Name': 'Gob'}, {'EmployeeID': Decimal('1027'), 'Employee Name': 'Prismo'}, {'EmployeeID': Decimal('1019'), 'Employee Name': 'Grob'}, {'EmployeeID': Decimal('1028'), 'Employee Name': 'Gunter'}, {'EmployeeID': Decimal('1013'), 'Employee Name': 'Hunson Abadeer'}]

df = pd.DataFrame(data)
df.head(5)

您的输出如下所示：

    EmployeeID  Employee Name
0   1007        Lumpy Space Princess
1   1021        Glob
2   1029        Snail
3   1038        Banana Guard #216
4   1010        Martin Mertens

如果需要，您甚至可以创建HTML：

df.head().to_html()

输出：

'<table border="1" class="dataframe">\n  <thead>\n    <tr style="text-align: right;">\n      <th></th>\n      <th>EmployeeID</th>\n      <th>Employee Name</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>1007</td>\n      <td>Lumpy Space Princess</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>1021</td>\n      <td>Glob</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>1029</td>\n      <td>Snail</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>1038</td>\n      <td>Banana Guard #216</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>1010</td>\n      <td>Martin Mertens</td>\n    </tr>\n  </tbody>\n</table>'