dosubot[bot] commented on issue #8249:
URL: 
https://github.com/apache/incubator-devlake/issues/8249#issuecomment-2551940085

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   Hey there, @qpawelc! 👋 I'm here to help you out with any bugs, questions, or 
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   To address the issue of commits being associated with a "seemingly random" 
deployment in DevLake, you can consider the following steps:
   
   1. **Debugging the Association Logic**: DevLake associates commits with 
deployments by finding the commits difference between two consecutive 
deployments and connecting PR/MR and the commits difference through 
`merge_commit` or `pr_commit` 
<sup>[[1]](https://github.com/apache/incubator-devlake-website/blob/main/versioned_docs/version-v0.21/Metrics/PRDeployTime.md)</sup>.
 If historical deployment data is missing, DevLake might default to associating 
older commits with the earliest available deployment. Unfortunately, specific 
fallback mechanisms for missing deployment data are not documented, so you 
might need to explore the codebase or logs to understand the exact logic being 
applied.
   
   2. **Workaround with Blueprint Configuration**: You can configure the data 
ingestion to start after a specific event, such as a deployment, by using the 
`SyncPolicy` component. This allows you to set a `timeAfter` property to limit 
data collection to a specific time range 
<sup>[[2]](https://github.com/apache/incubator-devlake/blob/main/config-ui/src/routes/blueprint/detail/components/sync-policy/index.tsx)</sup>.
 This approach can help you avoid associating older commits with recent 
deployments by only ingesting data after a certain point in time.
   
   3. **Review Related Issues**: Since you've found a similar issue in the 
DevLake repository, it might be helpful to follow up on that issue or any 
related discussions to see if there have been updates or solutions provided by 
the community.
   
   By implementing these steps, you should be able to better manage the 
commit-to-deployment associations and mitigate the skewed metrics issue.
   
   
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