2022-10-17 02:29:26 +03:00
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// Copyright 2021 The Gitea Authors. All rights reserved.
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2022-11-27 21:20:29 +03:00
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// SPDX-License-Identifier: MIT
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2022-10-17 02:29:26 +03:00
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package system
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import (
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"context"
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"fmt"
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"net/url"
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"strconv"
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"strings"
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"code.gitea.io/gitea/models/db"
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2022-11-10 09:43:53 +03:00
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"code.gitea.io/gitea/modules/cache"
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2023-01-08 16:22:41 +03:00
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setting_module "code.gitea.io/gitea/modules/setting"
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2022-10-17 02:29:26 +03:00
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"code.gitea.io/gitea/modules/timeutil"
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"strk.kbt.io/projects/go/libravatar"
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"xorm.io/builder"
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)
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// Setting is a key value store of user settings
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type Setting struct {
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ID int64 `xorm:"pk autoincr"`
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SettingKey string `xorm:"varchar(255) unique"` // ensure key is always lowercase
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SettingValue string `xorm:"text"`
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Version int `xorm:"version"` // prevent to override
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Created timeutil.TimeStamp `xorm:"created"`
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Updated timeutil.TimeStamp `xorm:"updated"`
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}
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// TableName sets the table name for the settings struct
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func (s *Setting) TableName() string {
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return "system_setting"
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}
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func (s *Setting) GetValueBool() bool {
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2022-11-10 09:43:53 +03:00
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if s == nil {
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return false
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}
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2022-10-17 02:29:26 +03:00
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b, _ := strconv.ParseBool(s.SettingValue)
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return b
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}
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func init() {
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db.RegisterModel(new(Setting))
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}
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// ErrSettingIsNotExist represents an error that a setting is not exist with special key
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type ErrSettingIsNotExist struct {
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Key string
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}
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// Error implements error
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func (err ErrSettingIsNotExist) Error() string {
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return fmt.Sprintf("System setting[%s] is not exist", err.Key)
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}
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// IsErrSettingIsNotExist return true if err is ErrSettingIsNotExist
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func IsErrSettingIsNotExist(err error) bool {
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_, ok := err.(ErrSettingIsNotExist)
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return ok
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}
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// ErrDataExpired represents an error that update a record which has been updated by another thread
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type ErrDataExpired struct {
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Key string
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}
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// Error implements error
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func (err ErrDataExpired) Error() string {
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return fmt.Sprintf("System setting[%s] has been updated by another thread", err.Key)
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}
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// IsErrDataExpired return true if err is ErrDataExpired
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func IsErrDataExpired(err error) bool {
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_, ok := err.(ErrDataExpired)
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return ok
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}
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2023-02-24 13:23:13 +03:00
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// GetSetting returns specific setting without using the cache
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func GetSetting(ctx context.Context, key string) (*Setting, error) {
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Add context cache as a request level cache (#22294)
To avoid duplicated load of the same data in an HTTP request, we can set
a context cache to do that. i.e. Some pages may load a user from a
database with the same id in different areas on the same page. But the
code is hidden in two different deep logic. How should we share the
user? As a result of this PR, now if both entry functions accept
`context.Context` as the first parameter and we just need to refactor
`GetUserByID` to reuse the user from the context cache. Then it will not
be loaded twice on an HTTP request.
But of course, sometimes we would like to reload an object from the
database, that's why `RemoveContextData` is also exposed.
The core context cache is here. It defines a new context
```go
type cacheContext struct {
ctx context.Context
data map[any]map[any]any
lock sync.RWMutex
}
var cacheContextKey = struct{}{}
func WithCacheContext(ctx context.Context) context.Context {
return context.WithValue(ctx, cacheContextKey, &cacheContext{
ctx: ctx,
data: make(map[any]map[any]any),
})
}
```
Then you can use the below 4 methods to read/write/del the data within
the same context.
```go
func GetContextData(ctx context.Context, tp, key any) any
func SetContextData(ctx context.Context, tp, key, value any)
func RemoveContextData(ctx context.Context, tp, key any)
func GetWithContextCache[T any](ctx context.Context, cacheGroupKey string, cacheTargetID any, f func() (T, error)) (T, error)
```
Then let's take a look at how `system.GetString` implement it.
```go
func GetSetting(ctx context.Context, key string) (string, error) {
return cache.GetWithContextCache(ctx, contextCacheKey, key, func() (string, error) {
return cache.GetString(genSettingCacheKey(key), func() (string, error) {
res, err := GetSettingNoCache(ctx, key)
if err != nil {
return "", err
}
return res.SettingValue, nil
})
})
}
```
First, it will check if context data include the setting object with the
key. If not, it will query from the global cache which may be memory or
a Redis cache. If not, it will get the object from the database. In the
end, if the object gets from the global cache or database, it will be
set into the context cache.
An object stored in the context cache will only be destroyed after the
context disappeared.
2023-02-15 16:37:34 +03:00
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v, err := GetSettings(ctx, []string{key})
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2022-10-17 02:29:26 +03:00
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if err != nil {
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return nil, err
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}
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if len(v) == 0 {
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return nil, ErrSettingIsNotExist{key}
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}
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2023-01-08 16:22:41 +03:00
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return v[strings.ToLower(key)], nil
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2022-10-17 02:29:26 +03:00
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}
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Add context cache as a request level cache (#22294)
To avoid duplicated load of the same data in an HTTP request, we can set
a context cache to do that. i.e. Some pages may load a user from a
database with the same id in different areas on the same page. But the
code is hidden in two different deep logic. How should we share the
user? As a result of this PR, now if both entry functions accept
`context.Context` as the first parameter and we just need to refactor
`GetUserByID` to reuse the user from the context cache. Then it will not
be loaded twice on an HTTP request.
But of course, sometimes we would like to reload an object from the
database, that's why `RemoveContextData` is also exposed.
The core context cache is here. It defines a new context
```go
type cacheContext struct {
ctx context.Context
data map[any]map[any]any
lock sync.RWMutex
}
var cacheContextKey = struct{}{}
func WithCacheContext(ctx context.Context) context.Context {
return context.WithValue(ctx, cacheContextKey, &cacheContext{
ctx: ctx,
data: make(map[any]map[any]any),
})
}
```
Then you can use the below 4 methods to read/write/del the data within
the same context.
```go
func GetContextData(ctx context.Context, tp, key any) any
func SetContextData(ctx context.Context, tp, key, value any)
func RemoveContextData(ctx context.Context, tp, key any)
func GetWithContextCache[T any](ctx context.Context, cacheGroupKey string, cacheTargetID any, f func() (T, error)) (T, error)
```
Then let's take a look at how `system.GetString` implement it.
```go
func GetSetting(ctx context.Context, key string) (string, error) {
return cache.GetWithContextCache(ctx, contextCacheKey, key, func() (string, error) {
return cache.GetString(genSettingCacheKey(key), func() (string, error) {
res, err := GetSettingNoCache(ctx, key)
if err != nil {
return "", err
}
return res.SettingValue, nil
})
})
}
```
First, it will check if context data include the setting object with the
key. If not, it will query from the global cache which may be memory or
a Redis cache. If not, it will get the object from the database. In the
end, if the object gets from the global cache or database, it will be
set into the context cache.
An object stored in the context cache will only be destroyed after the
context disappeared.
2023-02-15 16:37:34 +03:00
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const contextCacheKey = "system_setting"
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2023-02-24 13:23:13 +03:00
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// GetSettingWithCache returns the setting value via the key
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2023-09-11 13:14:01 +03:00
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func GetSettingWithCache(ctx context.Context, key, defaultVal string) (string, error) {
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Add context cache as a request level cache (#22294)
To avoid duplicated load of the same data in an HTTP request, we can set
a context cache to do that. i.e. Some pages may load a user from a
database with the same id in different areas on the same page. But the
code is hidden in two different deep logic. How should we share the
user? As a result of this PR, now if both entry functions accept
`context.Context` as the first parameter and we just need to refactor
`GetUserByID` to reuse the user from the context cache. Then it will not
be loaded twice on an HTTP request.
But of course, sometimes we would like to reload an object from the
database, that's why `RemoveContextData` is also exposed.
The core context cache is here. It defines a new context
```go
type cacheContext struct {
ctx context.Context
data map[any]map[any]any
lock sync.RWMutex
}
var cacheContextKey = struct{}{}
func WithCacheContext(ctx context.Context) context.Context {
return context.WithValue(ctx, cacheContextKey, &cacheContext{
ctx: ctx,
data: make(map[any]map[any]any),
})
}
```
Then you can use the below 4 methods to read/write/del the data within
the same context.
```go
func GetContextData(ctx context.Context, tp, key any) any
func SetContextData(ctx context.Context, tp, key, value any)
func RemoveContextData(ctx context.Context, tp, key any)
func GetWithContextCache[T any](ctx context.Context, cacheGroupKey string, cacheTargetID any, f func() (T, error)) (T, error)
```
Then let's take a look at how `system.GetString` implement it.
```go
func GetSetting(ctx context.Context, key string) (string, error) {
return cache.GetWithContextCache(ctx, contextCacheKey, key, func() (string, error) {
return cache.GetString(genSettingCacheKey(key), func() (string, error) {
res, err := GetSettingNoCache(ctx, key)
if err != nil {
return "", err
}
return res.SettingValue, nil
})
})
}
```
First, it will check if context data include the setting object with the
key. If not, it will query from the global cache which may be memory or
a Redis cache. If not, it will get the object from the database. In the
end, if the object gets from the global cache or database, it will be
set into the context cache.
An object stored in the context cache will only be destroyed after the
context disappeared.
2023-02-15 16:37:34 +03:00
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return cache.GetWithContextCache(ctx, contextCacheKey, key, func() (string, error) {
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return cache.GetString(genSettingCacheKey(key), func() (string, error) {
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2023-02-24 13:23:13 +03:00
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res, err := GetSetting(ctx, key)
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Add context cache as a request level cache (#22294)
To avoid duplicated load of the same data in an HTTP request, we can set
a context cache to do that. i.e. Some pages may load a user from a
database with the same id in different areas on the same page. But the
code is hidden in two different deep logic. How should we share the
user? As a result of this PR, now if both entry functions accept
`context.Context` as the first parameter and we just need to refactor
`GetUserByID` to reuse the user from the context cache. Then it will not
be loaded twice on an HTTP request.
But of course, sometimes we would like to reload an object from the
database, that's why `RemoveContextData` is also exposed.
The core context cache is here. It defines a new context
```go
type cacheContext struct {
ctx context.Context
data map[any]map[any]any
lock sync.RWMutex
}
var cacheContextKey = struct{}{}
func WithCacheContext(ctx context.Context) context.Context {
return context.WithValue(ctx, cacheContextKey, &cacheContext{
ctx: ctx,
data: make(map[any]map[any]any),
})
}
```
Then you can use the below 4 methods to read/write/del the data within
the same context.
```go
func GetContextData(ctx context.Context, tp, key any) any
func SetContextData(ctx context.Context, tp, key, value any)
func RemoveContextData(ctx context.Context, tp, key any)
func GetWithContextCache[T any](ctx context.Context, cacheGroupKey string, cacheTargetID any, f func() (T, error)) (T, error)
```
Then let's take a look at how `system.GetString` implement it.
```go
func GetSetting(ctx context.Context, key string) (string, error) {
return cache.GetWithContextCache(ctx, contextCacheKey, key, func() (string, error) {
return cache.GetString(genSettingCacheKey(key), func() (string, error) {
res, err := GetSettingNoCache(ctx, key)
if err != nil {
return "", err
}
return res.SettingValue, nil
})
})
}
```
First, it will check if context data include the setting object with the
key. If not, it will query from the global cache which may be memory or
a Redis cache. If not, it will get the object from the database. In the
end, if the object gets from the global cache or database, it will be
set into the context cache.
An object stored in the context cache will only be destroyed after the
context disappeared.
2023-02-15 16:37:34 +03:00
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if err != nil {
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2023-09-11 13:14:01 +03:00
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if IsErrSettingIsNotExist(err) {
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return defaultVal, nil
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}
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Add context cache as a request level cache (#22294)
To avoid duplicated load of the same data in an HTTP request, we can set
a context cache to do that. i.e. Some pages may load a user from a
database with the same id in different areas on the same page. But the
code is hidden in two different deep logic. How should we share the
user? As a result of this PR, now if both entry functions accept
`context.Context` as the first parameter and we just need to refactor
`GetUserByID` to reuse the user from the context cache. Then it will not
be loaded twice on an HTTP request.
But of course, sometimes we would like to reload an object from the
database, that's why `RemoveContextData` is also exposed.
The core context cache is here. It defines a new context
```go
type cacheContext struct {
ctx context.Context
data map[any]map[any]any
lock sync.RWMutex
}
var cacheContextKey = struct{}{}
func WithCacheContext(ctx context.Context) context.Context {
return context.WithValue(ctx, cacheContextKey, &cacheContext{
ctx: ctx,
data: make(map[any]map[any]any),
})
}
```
Then you can use the below 4 methods to read/write/del the data within
the same context.
```go
func GetContextData(ctx context.Context, tp, key any) any
func SetContextData(ctx context.Context, tp, key, value any)
func RemoveContextData(ctx context.Context, tp, key any)
func GetWithContextCache[T any](ctx context.Context, cacheGroupKey string, cacheTargetID any, f func() (T, error)) (T, error)
```
Then let's take a look at how `system.GetString` implement it.
```go
func GetSetting(ctx context.Context, key string) (string, error) {
return cache.GetWithContextCache(ctx, contextCacheKey, key, func() (string, error) {
return cache.GetString(genSettingCacheKey(key), func() (string, error) {
res, err := GetSettingNoCache(ctx, key)
if err != nil {
return "", err
}
return res.SettingValue, nil
})
})
}
```
First, it will check if context data include the setting object with the
key. If not, it will query from the global cache which may be memory or
a Redis cache. If not, it will get the object from the database. In the
end, if the object gets from the global cache or database, it will be
set into the context cache.
An object stored in the context cache will only be destroyed after the
context disappeared.
2023-02-15 16:37:34 +03:00
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return "", err
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}
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return res.SettingValue, nil
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})
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2022-11-10 09:43:53 +03:00
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})
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}
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// GetSettingBool return bool value of setting,
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// none existing keys and errors are ignored and result in false
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2023-09-11 13:14:01 +03:00
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func GetSettingBool(ctx context.Context, key string, defaultVal bool) (bool, error) {
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s, err := GetSetting(ctx, key)
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switch {
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case err == nil:
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v, _ := strconv.ParseBool(s.SettingValue)
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return v, nil
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case IsErrSettingIsNotExist(err):
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return defaultVal, nil
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default:
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return false, err
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2023-02-24 13:23:13 +03:00
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}
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}
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2023-09-11 13:14:01 +03:00
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func GetSettingWithCacheBool(ctx context.Context, key string, defaultVal bool) bool {
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s, _ := GetSettingWithCache(ctx, key, strconv.FormatBool(defaultVal))
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2023-01-01 19:06:52 +03:00
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v, _ := strconv.ParseBool(s)
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return v
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2022-11-10 09:43:53 +03:00
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}
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2022-10-17 02:29:26 +03:00
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// GetSettings returns specific settings
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Add context cache as a request level cache (#22294)
To avoid duplicated load of the same data in an HTTP request, we can set
a context cache to do that. i.e. Some pages may load a user from a
database with the same id in different areas on the same page. But the
code is hidden in two different deep logic. How should we share the
user? As a result of this PR, now if both entry functions accept
`context.Context` as the first parameter and we just need to refactor
`GetUserByID` to reuse the user from the context cache. Then it will not
be loaded twice on an HTTP request.
But of course, sometimes we would like to reload an object from the
database, that's why `RemoveContextData` is also exposed.
The core context cache is here. It defines a new context
```go
type cacheContext struct {
ctx context.Context
data map[any]map[any]any
lock sync.RWMutex
}
var cacheContextKey = struct{}{}
func WithCacheContext(ctx context.Context) context.Context {
return context.WithValue(ctx, cacheContextKey, &cacheContext{
ctx: ctx,
data: make(map[any]map[any]any),
})
}
```
Then you can use the below 4 methods to read/write/del the data within
the same context.
```go
func GetContextData(ctx context.Context, tp, key any) any
func SetContextData(ctx context.Context, tp, key, value any)
func RemoveContextData(ctx context.Context, tp, key any)
func GetWithContextCache[T any](ctx context.Context, cacheGroupKey string, cacheTargetID any, f func() (T, error)) (T, error)
```
Then let's take a look at how `system.GetString` implement it.
```go
func GetSetting(ctx context.Context, key string) (string, error) {
return cache.GetWithContextCache(ctx, contextCacheKey, key, func() (string, error) {
return cache.GetString(genSettingCacheKey(key), func() (string, error) {
res, err := GetSettingNoCache(ctx, key)
if err != nil {
return "", err
}
return res.SettingValue, nil
})
})
}
```
First, it will check if context data include the setting object with the
key. If not, it will query from the global cache which may be memory or
a Redis cache. If not, it will get the object from the database. In the
end, if the object gets from the global cache or database, it will be
set into the context cache.
An object stored in the context cache will only be destroyed after the
context disappeared.
2023-02-15 16:37:34 +03:00
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func GetSettings(ctx context.Context, keys []string) (map[string]*Setting, error) {
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2022-10-17 02:29:26 +03:00
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for i := 0; i < len(keys); i++ {
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keys[i] = strings.ToLower(keys[i])
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}
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settings := make([]*Setting, 0, len(keys))
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2023-02-24 13:23:13 +03:00
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if err := db.GetEngine(ctx).
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2022-10-17 02:29:26 +03:00
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Where(builder.In("setting_key", keys)).
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Find(&settings); err != nil {
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return nil, err
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}
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settingsMap := make(map[string]*Setting)
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for _, s := range settings {
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settingsMap[s.SettingKey] = s
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}
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return settingsMap, nil
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}
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type AllSettings map[string]*Setting
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func (settings AllSettings) Get(key string) Setting {
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2023-01-08 16:22:41 +03:00
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if v, ok := settings[strings.ToLower(key)]; ok {
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2022-10-17 02:29:26 +03:00
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return *v
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}
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return Setting{}
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}
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func (settings AllSettings) GetBool(key string) bool {
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b, _ := strconv.ParseBool(settings.Get(key).SettingValue)
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return b
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}
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func (settings AllSettings) GetVersion(key string) int {
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return settings.Get(key).Version
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}
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|
|
// GetAllSettings returns all settings from user
|
2023-02-24 13:23:13 +03:00
|
|
|
func GetAllSettings(ctx context.Context) (AllSettings, error) {
|
2022-10-17 02:29:26 +03:00
|
|
|
settings := make([]*Setting, 0, 5)
|
2023-02-24 13:23:13 +03:00
|
|
|
if err := db.GetEngine(ctx).
|
2022-10-17 02:29:26 +03:00
|
|
|
Find(&settings); err != nil {
|
|
|
|
return nil, err
|
|
|
|
}
|
|
|
|
settingsMap := make(map[string]*Setting)
|
|
|
|
for _, s := range settings {
|
|
|
|
settingsMap[s.SettingKey] = s
|
|
|
|
}
|
|
|
|
return settingsMap, nil
|
|
|
|
}
|
|
|
|
|
|
|
|
// DeleteSetting deletes a specific setting for a user
|
Add context cache as a request level cache (#22294)
To avoid duplicated load of the same data in an HTTP request, we can set
a context cache to do that. i.e. Some pages may load a user from a
database with the same id in different areas on the same page. But the
code is hidden in two different deep logic. How should we share the
user? As a result of this PR, now if both entry functions accept
`context.Context` as the first parameter and we just need to refactor
`GetUserByID` to reuse the user from the context cache. Then it will not
be loaded twice on an HTTP request.
But of course, sometimes we would like to reload an object from the
database, that's why `RemoveContextData` is also exposed.
The core context cache is here. It defines a new context
```go
type cacheContext struct {
ctx context.Context
data map[any]map[any]any
lock sync.RWMutex
}
var cacheContextKey = struct{}{}
func WithCacheContext(ctx context.Context) context.Context {
return context.WithValue(ctx, cacheContextKey, &cacheContext{
ctx: ctx,
data: make(map[any]map[any]any),
})
}
```
Then you can use the below 4 methods to read/write/del the data within
the same context.
```go
func GetContextData(ctx context.Context, tp, key any) any
func SetContextData(ctx context.Context, tp, key, value any)
func RemoveContextData(ctx context.Context, tp, key any)
func GetWithContextCache[T any](ctx context.Context, cacheGroupKey string, cacheTargetID any, f func() (T, error)) (T, error)
```
Then let's take a look at how `system.GetString` implement it.
```go
func GetSetting(ctx context.Context, key string) (string, error) {
return cache.GetWithContextCache(ctx, contextCacheKey, key, func() (string, error) {
return cache.GetString(genSettingCacheKey(key), func() (string, error) {
res, err := GetSettingNoCache(ctx, key)
if err != nil {
return "", err
}
return res.SettingValue, nil
})
})
}
```
First, it will check if context data include the setting object with the
key. If not, it will query from the global cache which may be memory or
a Redis cache. If not, it will get the object from the database. In the
end, if the object gets from the global cache or database, it will be
set into the context cache.
An object stored in the context cache will only be destroyed after the
context disappeared.
2023-02-15 16:37:34 +03:00
|
|
|
func DeleteSetting(ctx context.Context, setting *Setting) error {
|
|
|
|
cache.RemoveContextData(ctx, contextCacheKey, setting.SettingKey)
|
2022-11-10 09:43:53 +03:00
|
|
|
cache.Remove(genSettingCacheKey(setting.SettingKey))
|
2023-02-24 13:23:13 +03:00
|
|
|
_, err := db.GetEngine(ctx).Delete(setting)
|
2022-10-17 02:29:26 +03:00
|
|
|
return err
|
|
|
|
}
|
|
|
|
|
Add context cache as a request level cache (#22294)
To avoid duplicated load of the same data in an HTTP request, we can set
a context cache to do that. i.e. Some pages may load a user from a
database with the same id in different areas on the same page. But the
code is hidden in two different deep logic. How should we share the
user? As a result of this PR, now if both entry functions accept
`context.Context` as the first parameter and we just need to refactor
`GetUserByID` to reuse the user from the context cache. Then it will not
be loaded twice on an HTTP request.
But of course, sometimes we would like to reload an object from the
database, that's why `RemoveContextData` is also exposed.
The core context cache is here. It defines a new context
```go
type cacheContext struct {
ctx context.Context
data map[any]map[any]any
lock sync.RWMutex
}
var cacheContextKey = struct{}{}
func WithCacheContext(ctx context.Context) context.Context {
return context.WithValue(ctx, cacheContextKey, &cacheContext{
ctx: ctx,
data: make(map[any]map[any]any),
})
}
```
Then you can use the below 4 methods to read/write/del the data within
the same context.
```go
func GetContextData(ctx context.Context, tp, key any) any
func SetContextData(ctx context.Context, tp, key, value any)
func RemoveContextData(ctx context.Context, tp, key any)
func GetWithContextCache[T any](ctx context.Context, cacheGroupKey string, cacheTargetID any, f func() (T, error)) (T, error)
```
Then let's take a look at how `system.GetString` implement it.
```go
func GetSetting(ctx context.Context, key string) (string, error) {
return cache.GetWithContextCache(ctx, contextCacheKey, key, func() (string, error) {
return cache.GetString(genSettingCacheKey(key), func() (string, error) {
res, err := GetSettingNoCache(ctx, key)
if err != nil {
return "", err
}
return res.SettingValue, nil
})
})
}
```
First, it will check if context data include the setting object with the
key. If not, it will query from the global cache which may be memory or
a Redis cache. If not, it will get the object from the database. In the
end, if the object gets from the global cache or database, it will be
set into the context cache.
An object stored in the context cache will only be destroyed after the
context disappeared.
2023-02-15 16:37:34 +03:00
|
|
|
func SetSettingNoVersion(ctx context.Context, key, value string) error {
|
2023-02-24 13:23:13 +03:00
|
|
|
s, err := GetSetting(ctx, key)
|
2022-10-17 02:29:26 +03:00
|
|
|
if IsErrSettingIsNotExist(err) {
|
Add context cache as a request level cache (#22294)
To avoid duplicated load of the same data in an HTTP request, we can set
a context cache to do that. i.e. Some pages may load a user from a
database with the same id in different areas on the same page. But the
code is hidden in two different deep logic. How should we share the
user? As a result of this PR, now if both entry functions accept
`context.Context` as the first parameter and we just need to refactor
`GetUserByID` to reuse the user from the context cache. Then it will not
be loaded twice on an HTTP request.
But of course, sometimes we would like to reload an object from the
database, that's why `RemoveContextData` is also exposed.
The core context cache is here. It defines a new context
```go
type cacheContext struct {
ctx context.Context
data map[any]map[any]any
lock sync.RWMutex
}
var cacheContextKey = struct{}{}
func WithCacheContext(ctx context.Context) context.Context {
return context.WithValue(ctx, cacheContextKey, &cacheContext{
ctx: ctx,
data: make(map[any]map[any]any),
})
}
```
Then you can use the below 4 methods to read/write/del the data within
the same context.
```go
func GetContextData(ctx context.Context, tp, key any) any
func SetContextData(ctx context.Context, tp, key, value any)
func RemoveContextData(ctx context.Context, tp, key any)
func GetWithContextCache[T any](ctx context.Context, cacheGroupKey string, cacheTargetID any, f func() (T, error)) (T, error)
```
Then let's take a look at how `system.GetString` implement it.
```go
func GetSetting(ctx context.Context, key string) (string, error) {
return cache.GetWithContextCache(ctx, contextCacheKey, key, func() (string, error) {
return cache.GetString(genSettingCacheKey(key), func() (string, error) {
res, err := GetSettingNoCache(ctx, key)
if err != nil {
return "", err
}
return res.SettingValue, nil
})
})
}
```
First, it will check if context data include the setting object with the
key. If not, it will query from the global cache which may be memory or
a Redis cache. If not, it will get the object from the database. In the
end, if the object gets from the global cache or database, it will be
set into the context cache.
An object stored in the context cache will only be destroyed after the
context disappeared.
2023-02-15 16:37:34 +03:00
|
|
|
return SetSetting(ctx, &Setting{
|
2022-10-17 02:29:26 +03:00
|
|
|
SettingKey: key,
|
|
|
|
SettingValue: value,
|
|
|
|
})
|
|
|
|
}
|
|
|
|
if err != nil {
|
|
|
|
return err
|
|
|
|
}
|
|
|
|
s.SettingValue = value
|
Add context cache as a request level cache (#22294)
To avoid duplicated load of the same data in an HTTP request, we can set
a context cache to do that. i.e. Some pages may load a user from a
database with the same id in different areas on the same page. But the
code is hidden in two different deep logic. How should we share the
user? As a result of this PR, now if both entry functions accept
`context.Context` as the first parameter and we just need to refactor
`GetUserByID` to reuse the user from the context cache. Then it will not
be loaded twice on an HTTP request.
But of course, sometimes we would like to reload an object from the
database, that's why `RemoveContextData` is also exposed.
The core context cache is here. It defines a new context
```go
type cacheContext struct {
ctx context.Context
data map[any]map[any]any
lock sync.RWMutex
}
var cacheContextKey = struct{}{}
func WithCacheContext(ctx context.Context) context.Context {
return context.WithValue(ctx, cacheContextKey, &cacheContext{
ctx: ctx,
data: make(map[any]map[any]any),
})
}
```
Then you can use the below 4 methods to read/write/del the data within
the same context.
```go
func GetContextData(ctx context.Context, tp, key any) any
func SetContextData(ctx context.Context, tp, key, value any)
func RemoveContextData(ctx context.Context, tp, key any)
func GetWithContextCache[T any](ctx context.Context, cacheGroupKey string, cacheTargetID any, f func() (T, error)) (T, error)
```
Then let's take a look at how `system.GetString` implement it.
```go
func GetSetting(ctx context.Context, key string) (string, error) {
return cache.GetWithContextCache(ctx, contextCacheKey, key, func() (string, error) {
return cache.GetString(genSettingCacheKey(key), func() (string, error) {
res, err := GetSettingNoCache(ctx, key)
if err != nil {
return "", err
}
return res.SettingValue, nil
})
})
}
```
First, it will check if context data include the setting object with the
key. If not, it will query from the global cache which may be memory or
a Redis cache. If not, it will get the object from the database. In the
end, if the object gets from the global cache or database, it will be
set into the context cache.
An object stored in the context cache will only be destroyed after the
context disappeared.
2023-02-15 16:37:34 +03:00
|
|
|
return SetSetting(ctx, s)
|
2022-10-17 02:29:26 +03:00
|
|
|
}
|
|
|
|
|
|
|
|
// SetSetting updates a users' setting for a specific key
|
Add context cache as a request level cache (#22294)
To avoid duplicated load of the same data in an HTTP request, we can set
a context cache to do that. i.e. Some pages may load a user from a
database with the same id in different areas on the same page. But the
code is hidden in two different deep logic. How should we share the
user? As a result of this PR, now if both entry functions accept
`context.Context` as the first parameter and we just need to refactor
`GetUserByID` to reuse the user from the context cache. Then it will not
be loaded twice on an HTTP request.
But of course, sometimes we would like to reload an object from the
database, that's why `RemoveContextData` is also exposed.
The core context cache is here. It defines a new context
```go
type cacheContext struct {
ctx context.Context
data map[any]map[any]any
lock sync.RWMutex
}
var cacheContextKey = struct{}{}
func WithCacheContext(ctx context.Context) context.Context {
return context.WithValue(ctx, cacheContextKey, &cacheContext{
ctx: ctx,
data: make(map[any]map[any]any),
})
}
```
Then you can use the below 4 methods to read/write/del the data within
the same context.
```go
func GetContextData(ctx context.Context, tp, key any) any
func SetContextData(ctx context.Context, tp, key, value any)
func RemoveContextData(ctx context.Context, tp, key any)
func GetWithContextCache[T any](ctx context.Context, cacheGroupKey string, cacheTargetID any, f func() (T, error)) (T, error)
```
Then let's take a look at how `system.GetString` implement it.
```go
func GetSetting(ctx context.Context, key string) (string, error) {
return cache.GetWithContextCache(ctx, contextCacheKey, key, func() (string, error) {
return cache.GetString(genSettingCacheKey(key), func() (string, error) {
res, err := GetSettingNoCache(ctx, key)
if err != nil {
return "", err
}
return res.SettingValue, nil
})
})
}
```
First, it will check if context data include the setting object with the
key. If not, it will query from the global cache which may be memory or
a Redis cache. If not, it will get the object from the database. In the
end, if the object gets from the global cache or database, it will be
set into the context cache.
An object stored in the context cache will only be destroyed after the
context disappeared.
2023-02-15 16:37:34 +03:00
|
|
|
func SetSetting(ctx context.Context, setting *Setting) error {
|
2023-02-24 13:23:13 +03:00
|
|
|
if err := upsertSettingValue(ctx, strings.ToLower(setting.SettingKey), setting.SettingValue, setting.Version); err != nil {
|
2022-10-17 02:29:26 +03:00
|
|
|
return err
|
|
|
|
}
|
2022-11-10 09:43:53 +03:00
|
|
|
|
2022-10-17 02:29:26 +03:00
|
|
|
setting.Version++
|
2023-01-08 16:22:41 +03:00
|
|
|
|
|
|
|
cc := cache.GetCache()
|
|
|
|
if cc != nil {
|
Add context cache as a request level cache (#22294)
To avoid duplicated load of the same data in an HTTP request, we can set
a context cache to do that. i.e. Some pages may load a user from a
database with the same id in different areas on the same page. But the
code is hidden in two different deep logic. How should we share the
user? As a result of this PR, now if both entry functions accept
`context.Context` as the first parameter and we just need to refactor
`GetUserByID` to reuse the user from the context cache. Then it will not
be loaded twice on an HTTP request.
But of course, sometimes we would like to reload an object from the
database, that's why `RemoveContextData` is also exposed.
The core context cache is here. It defines a new context
```go
type cacheContext struct {
ctx context.Context
data map[any]map[any]any
lock sync.RWMutex
}
var cacheContextKey = struct{}{}
func WithCacheContext(ctx context.Context) context.Context {
return context.WithValue(ctx, cacheContextKey, &cacheContext{
ctx: ctx,
data: make(map[any]map[any]any),
})
}
```
Then you can use the below 4 methods to read/write/del the data within
the same context.
```go
func GetContextData(ctx context.Context, tp, key any) any
func SetContextData(ctx context.Context, tp, key, value any)
func RemoveContextData(ctx context.Context, tp, key any)
func GetWithContextCache[T any](ctx context.Context, cacheGroupKey string, cacheTargetID any, f func() (T, error)) (T, error)
```
Then let's take a look at how `system.GetString` implement it.
```go
func GetSetting(ctx context.Context, key string) (string, error) {
return cache.GetWithContextCache(ctx, contextCacheKey, key, func() (string, error) {
return cache.GetString(genSettingCacheKey(key), func() (string, error) {
res, err := GetSettingNoCache(ctx, key)
if err != nil {
return "", err
}
return res.SettingValue, nil
})
})
}
```
First, it will check if context data include the setting object with the
key. If not, it will query from the global cache which may be memory or
a Redis cache. If not, it will get the object from the database. In the
end, if the object gets from the global cache or database, it will be
set into the context cache.
An object stored in the context cache will only be destroyed after the
context disappeared.
2023-02-15 16:37:34 +03:00
|
|
|
if err := cc.Put(genSettingCacheKey(setting.SettingKey), setting.SettingValue, setting_module.CacheService.TTLSeconds()); err != nil {
|
|
|
|
return err
|
|
|
|
}
|
2023-01-08 16:22:41 +03:00
|
|
|
}
|
Add context cache as a request level cache (#22294)
To avoid duplicated load of the same data in an HTTP request, we can set
a context cache to do that. i.e. Some pages may load a user from a
database with the same id in different areas on the same page. But the
code is hidden in two different deep logic. How should we share the
user? As a result of this PR, now if both entry functions accept
`context.Context` as the first parameter and we just need to refactor
`GetUserByID` to reuse the user from the context cache. Then it will not
be loaded twice on an HTTP request.
But of course, sometimes we would like to reload an object from the
database, that's why `RemoveContextData` is also exposed.
The core context cache is here. It defines a new context
```go
type cacheContext struct {
ctx context.Context
data map[any]map[any]any
lock sync.RWMutex
}
var cacheContextKey = struct{}{}
func WithCacheContext(ctx context.Context) context.Context {
return context.WithValue(ctx, cacheContextKey, &cacheContext{
ctx: ctx,
data: make(map[any]map[any]any),
})
}
```
Then you can use the below 4 methods to read/write/del the data within
the same context.
```go
func GetContextData(ctx context.Context, tp, key any) any
func SetContextData(ctx context.Context, tp, key, value any)
func RemoveContextData(ctx context.Context, tp, key any)
func GetWithContextCache[T any](ctx context.Context, cacheGroupKey string, cacheTargetID any, f func() (T, error)) (T, error)
```
Then let's take a look at how `system.GetString` implement it.
```go
func GetSetting(ctx context.Context, key string) (string, error) {
return cache.GetWithContextCache(ctx, contextCacheKey, key, func() (string, error) {
return cache.GetString(genSettingCacheKey(key), func() (string, error) {
res, err := GetSettingNoCache(ctx, key)
if err != nil {
return "", err
}
return res.SettingValue, nil
})
})
}
```
First, it will check if context data include the setting object with the
key. If not, it will query from the global cache which may be memory or
a Redis cache. If not, it will get the object from the database. In the
end, if the object gets from the global cache or database, it will be
set into the context cache.
An object stored in the context cache will only be destroyed after the
context disappeared.
2023-02-15 16:37:34 +03:00
|
|
|
cache.SetContextData(ctx, contextCacheKey, setting.SettingKey, setting.SettingValue)
|
2022-10-17 02:29:26 +03:00
|
|
|
return nil
|
|
|
|
}
|
|
|
|
|
2023-02-24 13:23:13 +03:00
|
|
|
func upsertSettingValue(parentCtx context.Context, key, value string, version int) error {
|
|
|
|
return db.WithTx(parentCtx, func(ctx context.Context) error {
|
2022-10-17 02:29:26 +03:00
|
|
|
e := db.GetEngine(ctx)
|
|
|
|
|
|
|
|
// here we use a general method to do a safe upsert for different databases (and most transaction levels)
|
|
|
|
// 1. try to UPDATE the record and acquire the transaction write lock
|
|
|
|
// if UPDATE returns non-zero rows are changed, OK, the setting is saved correctly
|
|
|
|
// if UPDATE returns "0 rows changed", two possibilities: (a) record doesn't exist (b) value is not changed
|
|
|
|
// 2. do a SELECT to check if the row exists or not (we already have the transaction lock)
|
|
|
|
// 3. if the row doesn't exist, do an INSERT (we are still protected by the transaction lock, so it's safe)
|
|
|
|
//
|
|
|
|
// to optimize the SELECT in step 2, we can use an extra column like `revision=revision+1`
|
|
|
|
// to make sure the UPDATE always returns a non-zero value for existing (unchanged) records.
|
|
|
|
|
|
|
|
res, err := e.Exec("UPDATE system_setting SET setting_value=?, version = version+1 WHERE setting_key=? AND version=?", value, key, version)
|
|
|
|
if err != nil {
|
|
|
|
return err
|
|
|
|
}
|
|
|
|
rows, _ := res.RowsAffected()
|
|
|
|
if rows > 0 {
|
|
|
|
// the existing row is updated, so we can return
|
|
|
|
return nil
|
|
|
|
}
|
|
|
|
|
|
|
|
// in case the value isn't changed, update would return 0 rows changed, so we need this check
|
|
|
|
has, err := e.Exist(&Setting{SettingKey: key})
|
|
|
|
if err != nil {
|
|
|
|
return err
|
|
|
|
}
|
|
|
|
if has {
|
|
|
|
return ErrDataExpired{Key: key}
|
|
|
|
}
|
|
|
|
|
|
|
|
// if no existing row, insert a new row
|
|
|
|
_, err = e.Insert(&Setting{SettingKey: key, SettingValue: value})
|
|
|
|
return err
|
|
|
|
})
|
|
|
|
}
|
|
|
|
|
|
|
|
var (
|
|
|
|
GravatarSourceURL *url.URL
|
|
|
|
LibravatarService *libravatar.Libravatar
|
|
|
|
)
|
|
|
|
|
2023-02-24 13:23:13 +03:00
|
|
|
func Init(ctx context.Context) error {
|
2023-09-11 13:14:01 +03:00
|
|
|
disableGravatar, err := GetSettingBool(ctx, KeyPictureDisableGravatar, setting_module.GetDefaultDisableGravatar())
|
|
|
|
if err != nil {
|
2022-10-17 02:29:26 +03:00
|
|
|
return err
|
|
|
|
}
|
|
|
|
|
2023-09-11 13:14:01 +03:00
|
|
|
enableFederatedAvatar, err := GetSettingBool(ctx, KeyPictureEnableFederatedAvatar, setting_module.GetDefaultEnableFederatedAvatar(disableGravatar))
|
|
|
|
if err != nil {
|
2022-10-17 02:29:26 +03:00
|
|
|
return err
|
|
|
|
}
|
|
|
|
|
2023-01-08 16:22:41 +03:00
|
|
|
if setting_module.OfflineMode {
|
2023-09-11 13:14:01 +03:00
|
|
|
if !disableGravatar {
|
2023-02-24 13:23:13 +03:00
|
|
|
if err := SetSettingNoVersion(ctx, KeyPictureDisableGravatar, "true"); err != nil {
|
2023-09-11 13:14:01 +03:00
|
|
|
return fmt.Errorf("failed to set setting %q: %w", KeyPictureDisableGravatar, err)
|
2023-01-17 18:00:19 +03:00
|
|
|
}
|
|
|
|
}
|
2023-09-11 13:14:01 +03:00
|
|
|
disableGravatar = true
|
|
|
|
|
|
|
|
if enableFederatedAvatar {
|
2023-02-24 13:23:13 +03:00
|
|
|
if err := SetSettingNoVersion(ctx, KeyPictureEnableFederatedAvatar, "false"); err != nil {
|
2023-09-11 13:14:01 +03:00
|
|
|
return fmt.Errorf("failed to set setting %q: %w", KeyPictureEnableFederatedAvatar, err)
|
2023-01-17 18:00:19 +03:00
|
|
|
}
|
|
|
|
}
|
2023-09-11 13:14:01 +03:00
|
|
|
enableFederatedAvatar = false
|
2022-10-17 02:29:26 +03:00
|
|
|
}
|
|
|
|
|
2023-01-01 15:19:23 +03:00
|
|
|
if enableFederatedAvatar || !disableGravatar {
|
2022-10-17 02:29:26 +03:00
|
|
|
var err error
|
2023-01-08 16:22:41 +03:00
|
|
|
GravatarSourceURL, err = url.Parse(setting_module.GravatarSource)
|
2022-10-17 02:29:26 +03:00
|
|
|
if err != nil {
|
2023-09-11 13:14:01 +03:00
|
|
|
return fmt.Errorf("failed to parse Gravatar URL(%s): %w", setting_module.GravatarSource, err)
|
2022-10-17 02:29:26 +03:00
|
|
|
}
|
|
|
|
}
|
|
|
|
|
2023-09-11 13:14:01 +03:00
|
|
|
if GravatarSourceURL != nil && enableFederatedAvatar {
|
2022-10-17 02:29:26 +03:00
|
|
|
LibravatarService = libravatar.New()
|
|
|
|
if GravatarSourceURL.Scheme == "https" {
|
|
|
|
LibravatarService.SetUseHTTPS(true)
|
|
|
|
LibravatarService.SetSecureFallbackHost(GravatarSourceURL.Host)
|
|
|
|
} else {
|
|
|
|
LibravatarService.SetUseHTTPS(false)
|
|
|
|
LibravatarService.SetFallbackHost(GravatarSourceURL.Host)
|
|
|
|
}
|
|
|
|
}
|
|
|
|
return nil
|
|
|
|
}
|