microsoftgraph / microsoftgraph/msgraph-sdk-python

Excessive Informational Logs from Library During HTTP Requests

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主要語言
Python
星號
630
分支
96
平均合併
15 小時 20 分鐘
30 天內合併 PR
3

描述

I am using the library as shown below and I am flooded from logs coming from the library:

2025-02-11 17:17:37,072 - INFO - HTTP Request: GET https://graph.microsoft.com/v1.0//users/REDACTED "HTTP/2 200 OK"
2025-02-11 17:17:37,119 - INFO - ClientSecretCredential.get_token succeeded
2025-02-11 17:17:37,199 - INFO - HTTP Request: GET https://graph.microsoft.com/v1.0//users/REDACTED "HTTP/2 200 OK"
2025-02-11 17:17:37,249 - INFO - ClientSecretCredential.get_token succeeded
2025-02-11 17:17:37,330 - INFO - HTTP Request: GET https://graph.microsoft.com/v1.0//users/REDACTED "HTTP/2 200 OK"
2025-02-11 17:17:37,391 - INFO - ClientSecretCredential.get_token succeeded
2025-02-11 17:17:37,470 - INFO - HTTP Request: GET https://graph.microsoft.com/v1.0//users/REDACTED "HTTP/2 200 OK"
2025-02-11 17:17:37,516 - INFO - ClientSecretCredential.get_token succeeded
2025-02-11 17:17:37,591 - INFO - HTTP Request: GET https://graph.microsoft.com/v1.0//users/REDACTED "HTTP/2 200 OK"
2025-02-11 17:17:37,641 - INFO - ClientSecretCredential.get_token succeeded

How do I make it stop?

async def find_user(client: GraphServiceClient, user_id: str) -> None:

    query_params = UserItemRequestBuilder.UserItemRequestBuilderGetQueryParameters(
		expand = ["manager($levels=max;$select=id,displayName,mail,department,jobTitle)"],
		select = ["customSecurityAttributes","id","displayName","mail","department","jobTitle"],
    )

    request_configuration = RequestConfiguration(
        query_parameters = query_params,
    )

    return await client.users.by_user_id(user_id).get(request_configuration = request_configuration)

Originally posted by @Marcuccio in https://github.com/microsoftgraph/msgraph-sdk-python/discussions/1112

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研究方向

從提供的 find_user 進入點開始,使用 GraphServiceClient 和所示的請求設定重現重複的資訊輸出。追蹤發出 HTTP 和認證資訊訊息的程式庫元件;當請求在沒有過多資訊記錄的情況下仍能正常運作,且該行為由適當的迴歸檢查涵蓋時,即表示完成。

由索引模型根據 Issue 內容生成。

評估

技術堆疊
python
領域
api, backend
Issue 類型
缺陷
難度
3/5
預估耗時
1-2 天
活躍度
停滯
描述清晰度
需要釐清
新手友好度
35/100

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