读取 Excel 文件返回“无效请求”错误

Question

我的目标是使用 Python 读取和写入 SharePoint 中其他用户将访问的 Excel 文件。 我在本地计算机上使用

Pandas

进行读取和

xlWings

进行写入，开发了一个问题的解决方案。 现在我正在尝试将其移至 SharePoint。

以下是我的应用程序拥有的权限：

我已经阅读了一些教程/问题答案（即here和here）并且可以进行身份验证。 我已经根据

this

答案更新了我的 url，但没有运气。

这是我收到的错误消息：

{
    "error": {
        "code": "invalidRequest",
        "message": "Invalid request"
    }
}
'value'

之前，我的网址以

/workbook/tables('Plant_3')

结尾，基于此 answer，但我收到以下错误：

"error": {
    "code": "BadRequest",
    "message": "Open navigation properties are not supported on OpenTypes. Property name: 'tables'.",

我相信该错误是因为我的文件没有表，并且 url 试图链接到该对象/集合。

这是我的代码：

from msal import ConfidentialClientApplication
import requests
import json
import pandas as pd
import configparser

config = configparser.ConfigParser()
config.read('config.ini')

client_id = config['entra_auth']['client_id']
client_secret = config['entra_auth']['client_secret']
tenant_id = config['entra_auth']['tenant_id']

msal_scope = ['https://graph.microsoft.com/.default']
msal_app = ConfidentialClientApplication(client_id=client_id,
                                         authority=f"https://login.microsoftonline.com/{tenant_id}",
                                         client_credential=client_secret, )
result = msal_app.acquire_token_silent(scopes=msal_scope,
                                       account=None)
if not result:
    result = msal_app.acquire_token_for_client(scopes=msal_scope)
if 'access_token' in result:
    access_token = result['access_token']
else:
    raise Exception("Failed to acquire token")

headers = {'Authorization': f'Bearer {access_token}'}
site_id = config['site']['site_id'] # https://www.powertechtips.com/check-site-id-sharepoint/
# https://answers.microsoft.com/en-us/msoffice/forum/all/how-can-i-find-the-library-id-on-our-sharepoint/701e68f3-954f-490c-b3cb-ceb8bd5601d1
document_library_id = config['site']['document_library_id']
doc_id = config['site']['doc_id'] # from document details
file_name = config['site']['file_name']
# create url
url = f"https://graph.microsoft.com/v1.0/sites/{tenant_id}:/sites/{site_id}:/drives/{document_library_id}:/root/{file_name}:/workbook/tables('Sheet1')/rows"
# Make a GET request to the Microsoft Graph API to read the Excel file as a pandas dataframe
response = requests.get(url, headers=headers)
try:  # how I want it to go
    data = response.json()["value"]
    df = pd.DataFrame(data)
    print(df)
except Exception as e:
    print(json.dumps(response.json(), indent=4))
    print(e)

Answer 1

我创建了一个应用程序注册并添加了与您相同的API权限，如下所示：

在 SharePoint 中，我有一个名为

test.xlsx

的 Excel 文件，其中包含以下数据：

最初，当我运行你的代码来检索上述 excel 文件数据时，我也遇到了同样的错误：

为了解决该错误，我运行了以下modified python代码并成功获得了excel数据的响应，如下所示：

from msal import ConfidentialClientApplication
import requests
import pandas as pd
import configparser

# Read the config file for credentials and details
config = configparser.ConfigParser()
config.read('config.ini')

client_id = config['entra_auth']['client_id']
client_secret = config['entra_auth']['client_secret']
tenant_id = config['entra_auth']['tenant_id']

# Set up Microsoft Graph authentication
msal_scope = ['https://graph.microsoft.com/.default']
msal_app = ConfidentialClientApplication(client_id=client_id,
                                         authority=f"https://login.microsoftonline.com/{tenant_id}",
                                         client_credential=client_secret)
result = msal_app.acquire_token_silent(scopes=msal_scope, account=None)
if not result:
    result = msal_app.acquire_token_for_client(scopes=msal_scope)

if 'access_token' in result:
    access_token = result['access_token']
else:
    raise Exception("Failed to acquire token")

# Prepare request headers with the acquired access token
headers = {'Authorization': f'Bearer {access_token}'}

# Get necessary configuration data for the SharePoint file
site_id = config['site']['site_id'] 
document_library_id = config['site']['document_library_id']
doc_id = config['site']['doc_id']

# Use 'usedRange' to automatically detect the range with data
url = f"https://graph.microsoft.com/v1.0/sites/{site_id}/drives/{document_library_id}/items/{doc_id}/workbook/worksheets('Sheet1')/usedRange"

# Make a GET request to Microsoft Graph API to read the worksheet range
response = requests.get(url, headers=headers)

# Extract only the 'values' part of the response
try:
    data = response.json().get('values', [])
    
    # If data is found, convert it to a pandas DataFrame and print it
    if data:
        df = pd.DataFrame(data[1:], columns=data[0])  # First row as column headers
        print(df)
    else:
        print("No data found.")
except Exception as e:
    print(f"Error: {e}")

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