4 Commits (702a876453a8906103e95a62f6cfa25fb08ea8e4)

Author	SHA1	Message	Date
Jason Song	beb71f5ef6	Include public repos in doer's dashboard for issue search (#28304) ... It will fix #28268 . <img width="1313" alt="image" src="https://github.com/go-gitea/gitea/assets/9418365/cb1e07d5-7a12-4691-a054-8278ba255bfc"> <img width="1318" alt="image" src="https://github.com/go-gitea/gitea/assets/9418365/4fd60820-97f1-4c2c-a233-d3671a5039e9"> ## ⚠️ BREAKING ⚠️ But need to give up some features: <img width="1312" alt="image" src="https://github.com/go-gitea/gitea/assets/9418365/281c0d51-0e7d-473f-bbed-216e2f645610"> However, such abandonment may fix #28055 . ## Backgroud When the user switches the dashboard context to an org, it means they want to search issues in the repos that belong to the org. However, when they switch to themselves, it means all repos they can access because they may have created an issue in a public repo that they don't own. <img width="286" alt="image" src="https://github.com/go-gitea/gitea/assets/9418365/182dcd5b-1c20-4725-93af-96e8dfae5b97"> It's a confusing design. Think about this: What does "In your repositories" mean when the user switches to an org? Repos belong to the user or the org? Whatever, it has been broken by #26012 and its following PRs. After the PR, it searches for issues in repos that the dashboard context user owns or has been explicitly granted access to, so it causes #28268. ## How to fix it It's not really difficult to fix it. Just extend the repo scope to search issues when the dashboard context user is the doer. Since the user may create issues or be mentioned in any public repo, we can just set `AllPublic` to true, which is already supported by indexers. The DB condition will also support it in this PR. But the real difficulty is how to count the search results grouped by repos. It's something like "search issues with this keyword and those filters, and return the total number and the top results. **Then, group all of them by repo and return the counts of each group.**" <img width="314" alt="image" src="https://github.com/go-gitea/gitea/assets/9418365/5206eb20-f8f5-49b9-b45a-1be2fcf679f4"> Before #26012, it was being done in the DB, but it caused the results to be incomplete (see the description of #26012). And to keep this, #26012 implement it in an inefficient way, just count the issues by repo one by one, so it cannot work when `AllPublic` is true because it's almost impossible to do this for all public repos. 1bfcdeef4c/modules/indexer/issues/indexer.go (L318-L338) ## Give up unnecessary features We may can resovle `TODO: use "group by" of the indexer engines to implement it`, I'm sure it can be done with Elasticsearch, but IIRC, Bleve and Meilisearch don't support "group by". And the real question is, does it worth it? Why should we need to know the counts grouped by repos? Let me show you my search dashboard on gitea.com. <img width="1304" alt="image" src="https://github.com/go-gitea/gitea/assets/9418365/2bca2d46-6c71-4de1-94cb-0c9af27c62ff"> I never think the long repo list helps anything. And if we agree to abandon it, things will be much easier. That is this PR. ## TODO I know it's important to filter by repos when searching issues. However, it shouldn't be the way we have it now. It could be implemented like this. <img width="1316" alt="image" src="https://github.com/go-gitea/gitea/assets/9418365/99ee5f21-cbb5-4dfe-914d-cb796cb79fbe"> The indexers support it well now, but it requires some frontend work, which I'm not good at. So, I think someone could help do that in another PR and merge this one to fix the bug first. Or please block this PR and help to complete it. Finally, "Switch dashboard context" is also a design that needs improvement. In my opinion, it can be accomplished by adding filtering conditions instead of "switching".	12 months ago
Jason Song	3b129aaa80	Explain SearchOptions and fix ToSearchOptions (#26542) ... Follow #26012 #26490. A detailed description has been added to the comment.	1 year ago
CaiCandong	0e74fc4a84	Fix project filter bugs (#26490) ... related: #26012 ### Bugs 1. missing project filter on the issue page. 1e76a824bc/modules/indexer/issues/dboptions.go (L11-L15) 3. incorrect SQL condition: some issue does not belong to a project but exists on the project_issue table. f5dbac9d36/models/issues/issue_search.go (L233) ### Before:  ### After:  --------- Co-authored-by: Giteabot <teabot@gitea.io>	1 year ago
Jason Song	1e76a824bc	Refactor and enhance issue indexer to support both searching, filtering and paging (#26012) ... Fix #24662. Replace #24822 and #25708 (although it has been merged) ## Background In the past, Gitea supported issue searching with a keyword and conditions in a less efficient way. It worked by searching for issues with the keyword and obtaining limited IDs (as it is heavy to get all) on the indexer (bleve/elasticsearch/meilisearch), and then querying with conditions on the database to find a subset of the found IDs. This is why the results could be incomplete. To solve this issue, we need to store all fields that could be used as conditions in the indexer and support both keyword and additional conditions when searching with the indexer. ## Major changes - Redefine `IndexerData` to include all fields that could be used as filter conditions. - Refactor `Search(ctx context.Context, kw string, repoIDs []int64, limit, start int, state string)` to `Search(ctx context.Context, options *SearchOptions)`, so it supports more conditions now. - Change the data type stored in `issueIndexerQueue`. Use `IndexerMetadata` instead of `IndexerData` in case the data has been updated while it is in the queue. This also reduces the storage size of the queue. - Enhance searching with Bleve/Elasticsearch/Meilisearch, make them fully support `SearchOptions`. Also, update the data versions. - Keep most logic of database indexer, but remove `issues.SearchIssueIDsByKeyword` in `models` to avoid confusion where is the entry point to search issues. - Start a Meilisearch instance to test it in unit tests. - Add unit tests with almost full coverage to test Bleve/Elasticsearch/Meilisearch indexer. --------- Co-authored-by: Lunny Xiao <xiaolunwen@gmail.com>	1 year ago