如何将 Python Boto3 中的 DynamoDB 扫描格式化为 html 可读？

Question

我有一个在 flask 中运行的 python boto3 应用程序。 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。

目前，当我得到全表检索的响应时，它看起来像这样：

[{'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'}]

它只是一个元素。 它既无序，又具有所有元数据。 我所有的谷歌搜索，我都找不到如何提取实际数据字段以格式化为 HTML 人类可读兼容性的列表。

我的检索如下所示：

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)

我尝试创建一个列表并将每个响应作为一个元素附加，但这个响应只是一个元素。 我想我需要把它分解成一个数组，这样我就可以将它打印到 HTML 作为 arr[i,j] where arr[1,1] = "1001", arr[1,2] = "Finn", arr [2,1] = “1002”，arr[2,2] = “杰克”，依此类推。 这是 go 的正确方向吗？ 我什至不确定这是否可能，或者这只是不是 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。

谢谢你。

Answer 1

您可以使用pandas package：

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 output 看起来像：

    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()

Output：

'<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>'