gitea

Commit Graph

Author	SHA1	Message	Date
Rowan Bohde	68731c07c5	Reduce integration test overhead (#32475 ) In profiling integration tests, I found a couple places where per-test overhead could be reduced: * Avoiding disk IO by synchronizing instead of deleting & copying test Git repository data. This saves ~100ms per test on my machine * When flushing queues in `PrintCurrentTest`, invoke `FlushWithContext` in a parallel. --------- Co-authored-by: wxiaoguang <wxiaoguang@gmail.com>	3 months ago
Bruno Sofiato	f64fbd9b74	Updated tokenizer to better matching when search for code snippets (#32261 ) This PR improves the accuracy of Gitea's code search. Currently, Gitea does not consider statements such as `onsole.log("hello")` as hits when the user searches for `log`. The culprit is how both ES and Bleve are tokenizing the file contents (in both cases, `console.log` is a whole token). In ES' case, we changed the tokenizer to [simple_pattern_split](https://www.elastic.co/guide/en/elasticsearch/reference/current/analysis-simplepatternsplit-tokenizer.html#:~:text=The%20simple_pattern_split%20tokenizer%20uses%20a,the%20tokenization%20is%20generally%20faster.). In such a case, tokens are words formed by digits and letters. In Bleve's case, it employs a [letter](https://blevesearch.com/docs/Tokenizers/) tokenizer. Resolves #32220 --------- Signed-off-by: Bruno Sofiato <bruno.sofiato@gmail.com>	3 months ago
Bruno Sofiato	900ac62251	Allow code search by filename (#32210 ) This is a large and complex PR, so let me explain in detail its changes. First, I had to create new index mappings for Bleve and ElasticSerach as the current ones do not support search by filename. This requires Gitea to recreate the code search indexes (I do not know if this is a breaking change, but I feel it deserves a heads-up). I've used [this approach](https://www.elastic.co/guide/en/elasticsearch/reference/7.17/analysis-pathhierarchy-tokenizer.html) to model the filename index. It allows us to efficiently search for both the full path and the name of a file. Bleve, however, does not support this out-of-box, so I had to code a brand new [token filter](https://blevesearch.com/docs/Token-Filters/) to generate the search terms. I also did an overhaul in the `indexer_test.go` file. It now asserts the order of the expected results (this is important since matches based on the name of a file are more relevant than those based on its content). I've added new test scenarios that deal with searching by filename. They use a new repo included in the Gitea fixture. The screenshot below depicts how Gitea shows the search results. It shows results based on content in the same way as the current version does. In matches based on the filename, the first seven lines of the file contents are shown (BTW, this is how GitHub does it). ![image](https://github.com/user-attachments/assets/9d938d86-1a8d-4f89-8644-1921a473e858) Resolves #32096 --------- Signed-off-by: Bruno Sofiato <bruno.sofiato@gmail.com>	4 months ago

Author

SHA1

Message

Date

Rowan Bohde

68731c07c5

Reduce integration test overhead (#32475 )

In profiling integration tests, I found a couple places where per-test
overhead could be reduced:

* Avoiding disk IO by synchronizing instead of deleting & copying test
Git repository data. This saves ~100ms per test on my machine
* When flushing queues in `PrintCurrentTest`, invoke `FlushWithContext`
in a parallel.

---------

Co-authored-by: wxiaoguang <wxiaoguang@gmail.com>

3 months ago

Bruno Sofiato

f64fbd9b74

Updated tokenizer to better matching when search for code snippets (#32261 )

This PR improves the accuracy of Gitea's code search. 

Currently, Gitea does not consider statements such as
`onsole.log("hello")` as hits when the user searches for `log`. The
culprit is how both ES and Bleve are tokenizing the file contents (in
both cases, `console.log` is a whole token).

In ES' case, we changed the tokenizer to
[simple_pattern_split](https://www.elastic.co/guide/en/elasticsearch/reference/current/analysis-simplepatternsplit-tokenizer.html#:~:text=The%20simple_pattern_split%20tokenizer%20uses%20a,the%20tokenization%20is%20generally%20faster.).
In such a case, tokens are words formed by digits and letters. In
Bleve's case, it employs a
[letter](https://blevesearch.com/docs/Tokenizers/) tokenizer.

Resolves #32220

---------

Signed-off-by: Bruno Sofiato <bruno.sofiato@gmail.com>

3 months ago

Bruno Sofiato

900ac62251

Allow code search by filename (#32210 )

This is a large and complex PR, so let me explain in detail its changes.

First, I had to create new index mappings for Bleve and ElasticSerach as
the current ones do not support search by filename. This requires Gitea
to recreate the code search indexes (I do not know if this is a breaking
change, but I feel it deserves a heads-up).

I've used [this
approach](https://www.elastic.co/guide/en/elasticsearch/reference/7.17/analysis-pathhierarchy-tokenizer.html)
to model the filename index. It allows us to efficiently search for both
the full path and the name of a file. Bleve, however, does not support
this out-of-box, so I had to code a brand new [token
filter](https://blevesearch.com/docs/Token-Filters/) to generate the
search terms.

I also did an overhaul in the `indexer_test.go` file. It now asserts the
order of the expected results (this is important since matches based on
the name of a file are more relevant than those based on its content).
I've added new test scenarios that deal with searching by filename. They
use a new repo included in the Gitea fixture.

The screenshot below depicts how Gitea shows the search results. It
shows results based on content in the same way as the current version
does. In matches based on the filename, the first seven lines of the
file contents are shown (BTW, this is how GitHub does it).


![image](https://github.com/user-attachments/assets/9d938d86-1a8d-4f89-8644-1921a473e858)

Resolves #32096

---------

Signed-off-by: Bruno Sofiato <bruno.sofiato@gmail.com>

4 months ago

3 Commits (c8ffe777cf9c5bb47a38e3e0b3a3b5de6cd8813d)