如何將 Python Boto3 中的 DynamoDB 掃描格式化為 html 可讀？

Question

我有一個在 flask 中運行的 python boto3 應用程序。 主要目標是將列表檢索格式化為人類可讀的。 如：我希望列表返回為：

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

等等。

目前，當我得到全表檢索的響應時，它看起來像這樣：

[{'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'}]

它只是一個元素。 它既無序，又具有所有元數據。 我所有的谷歌搜索，我都找不到如何提取實際數據字段以格式化為 HTML 人類可讀兼容性的列表。

我的檢索如下所示：

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)

我嘗試創建一個列表並將每個響應作為一個元素附加，但這個響應只是一個元素。 我想我需要把它分解成一個數組，這樣我就可以將它打印到 HTML 作為 arr[i,j] where arr[1,1] = "1001", arr[1,2] = "Finn", arr [2,1] = “1002”，arr[2,2] = “傑克”，依此類推。 這是 go 的正確方向嗎？ 我什至不確定這是否可能，或者這只是不是 DynamoDB 數據的讀取方式。

我只想隔離姓名和員工編號，這樣我就可以在沒有元數據的情況下打印它們。

謝謝你。

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 看起來像：

    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，您甚至可以創建 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>'