microsoftgraph / microsoftgraph/msgraph-sdk-python
Excessive Informational Logs from Library During HTTP Requests
还没有人认领这个 Issue。
- 主要语言
- Python
- 星标
- 630
- 派生
- 96
- 平均合并
- 15 小时 20 分钟
- 30 天内合并 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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- 提交 Pull Request,并在描述里引用这个 Issue 编号。
调研方向
从提供的 find_user 入口点开始,使用 GraphServiceClient 和所示的请求配置重现重复的信息输出。跟踪发出 HTTP 和凭据消息的库组件;当请求在没有过多信息日志的情况下仍能正常工作,并且该行为由适当的回归检查覆盖时,即视为完成。
由索引模型根据 Issue 内容生成。
评估
- 技术栈
- python
- 领域
- api, backend
- Issue 类型
- 缺陷
- 难度
- 3/5
- 预计耗时
- 1-2 天
- 活跃度
- 停滞
- 描述清晰度
- 需要澄清
- 新手友好度
- 35/100