(cherry picked from commit a1381d9146fba42cb97d72d38525fa3e721bfb03)
(cherry picked from commit 74714e0246)
(cherry picked from commit 7749dbfe66)
(cherry picked from commit 4379249711)
(cherry picked from commit a69f55bebf)
(cherry picked from commit 24dd5fbfdb)
(cherry picked from commit dda856d6b8)
(cherry picked from commit bc14f4fa97)
(cherry picked from commit 78fef4f137)
(cherry picked from commit 69e013cc51)
(cherry picked from commit f173c6a273)
(cherry picked from commit 92f9d02547)
(cherry picked from commit c99d51e665)
(cherry picked from commit aa0650fd2b)
(cherry picked from commit 0a8ef91302)
(cherry picked from commit 7b54fe01c2)
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>
