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https://github.com/go-gitea/gitea
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Add some comments for recent code (#22725)
When using the main branch, I found that some changed code didn't have comments. This PR adds some comments.
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@ -10,6 +10,35 @@ import (
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"code.gitea.io/gitea/models/db"
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)
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/*
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The reasons behind the DBFS (database-filesystem) package:
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When a Gitea action is running, the Gitea action server should collect and store all the logs.
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The requirements are:
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* The running logs must be stored across the cluster if the Gitea servers are deployed as a cluster.
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* The logs will be archived to Object Storage (S3/MinIO, etc.) after a period of time.
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* The Gitea action UI should be able to render the running logs and the archived logs.
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Some possible solutions for the running logs:
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* [Not ideal] Using local temp file: it can not be shared across the cluster.
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* [Not ideal] Using shared file in the filesystem of git repository: although at the moment, the Gitea cluster's
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git repositories must be stored in a shared filesystem, in the future, Gitea may need a dedicated Git Service Server
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to decouple the shared filesystem. Then the action logs will become a blocker.
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* [Not ideal] Record the logs in a database table line by line: it has a couple of problems:
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- It's difficult to make multiple increasing sequence (log line number) for different databases.
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- The database table will have a lot of rows and be affected by the big-table performance problem.
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- It's difficult to load logs by using the same interface as other storages.
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- It's difficult to calculate the size of the logs.
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The DBFS solution:
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* It can be used in a cluster.
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* It can share the same interface (Read/Write/Seek) as other storages.
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* It's very friendly to database because it only needs to store much fewer rows than the log-line solution.
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* In the future, when Gitea action needs to limit the log size (other CI/CD services also do so), it's easier to calculate the log file size.
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* Even sometimes the UI needs to render the tailing lines, the tailing lines can be found be counting the "\n" from the end of the file by seek.
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The seeking and finding is not the fastest way, but it's still acceptable and won't affect the performance too much.
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*/
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type dbfsMeta struct {
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ID int64 `xorm:"pk autoincr"`
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FullPath string `xorm:"VARCHAR(500) UNIQUE NOT NULL"`
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@ -19,6 +19,8 @@ import (
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func AddCacheControlToHeader(h http.Header, maxAge time.Duration, additionalDirectives ...string) {
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directives := make([]string, 0, 2+len(additionalDirectives))
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// "max-age=0 + must-revalidate" (aka "no-cache") is preferred instead of "no-store"
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// because browsers may restore some input fields after navigate-back / reload a page.
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if setting.IsProd {
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if maxAge == 0 {
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directives = append(directives, "max-age=0", "private", "must-revalidate")
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@ -126,6 +126,7 @@ INTERNAL_TOKEN = eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJuYmYiOjE0OTU1NTE2MTh9.h
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ENABLED = true
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[email.incoming]
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; temporarily disabled because the incoming mail tests are flaky due to the IMAP server (during integration tests) couldn't be not ready in time sometimes.
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ENABLED = false
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HOST = smtpimap
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PORT = 993
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