splunk / splunk/addonfactory-solutions-library-python
solnlib is using root logger to log things
まだ誰も着手していません。
- 主要言語
- Python
- スター
- 18
- フォーク
- 10
- PR マージ指標
- 30日以内にマージされた PR はありません
説明
Issue Description:
I think the main issue is that any INFO or DEBUG logs in solnlib are going into Splunkd as ERROR logs.
I think the logging currently is not as per best practice. Currently it uses logging.info , which puts logs in splunkd. : https://github.com/splunk/addonfactory-solutions-library-python/blob/develop/solnlib/timer_queue.py#L234
I think the best practice should be to initialize a logger for the module and not using logging.info directly. That is how I have seen other third party libraries doing. For Example urllib3 that requests uses : https://github.com/urllib3/urllib3/blob/main/src/urllib3/connectionpool.py#L61
Other notes :
I was trying to do the same thing in solnlib like urllib3 but I see that in certain places it can cause issue like this : https://github.com/splunk/addonfactory-solutions-library-python/blob/develop/solnlib/rest.py#L67
Here the error is the only way someone can know that something went wrong cause we are not raising an exception. If we turn off this logger by default, it will suppress necessary information and if we raise an error from here, it would mean a breaking change for someone using this method.
Also, there are certain places where somone can argue that error should go into splunkd. Thus, we might need to make a decision on this behaviour of solnlib.
Slack Conversation with example logs : https://splunk.slack.com/archives/C03T8QCHBTJ/p1748939756182799
コントリビューションガイド
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調査の方向性
Start by comparing logging in solnlib/timer_queue.py with the module logger pattern in urllib3, then inspect the error path in solnlib/rest.py. The issue requires deciding which messages should reach Splunkd and whether changing logger behavior affects callers. Done means an agreed, consistent logging policy is applied without suppressing necessary errors or introducing an unintended breaking change.
索引モデルが issue の本文から書いたものです。
評価
- 技術スタック
- python
- 領域
- backend, observability-sre
- issue の種類
- リファクタリング
- 難易度
- 5/5
- 見積もり時間
- 1週間以上
- 活発さ
- 停滞
- 明瞭さ
- 説明が足りない
- 初心者へのやさしさ
- 30/100