mirror of
1
Fork 0
forgejo/models/system/setting.go

315 lines
9.0 KiB
Go
Raw Normal View History

// Copyright 2021 The Gitea Authors. All rights reserved.
// SPDX-License-Identifier: MIT
package system
import (
"context"
"fmt"
"net/url"
"strconv"
"strings"
"code.gitea.io/gitea/models/db"
"code.gitea.io/gitea/modules/cache"
setting_module "code.gitea.io/gitea/modules/setting"
"code.gitea.io/gitea/modules/timeutil"
"strk.kbt.io/projects/go/libravatar"
"xorm.io/builder"
)
// Setting is a key value store of user settings
type Setting struct {
ID int64 `xorm:"pk autoincr"`
SettingKey string `xorm:"varchar(255) unique"` // ensure key is always lowercase
SettingValue string `xorm:"text"`
Version int `xorm:"version"` // prevent to override
Created timeutil.TimeStamp `xorm:"created"`
Updated timeutil.TimeStamp `xorm:"updated"`
}
// TableName sets the table name for the settings struct
func (s *Setting) TableName() string {
return "system_setting"
}
func (s *Setting) GetValueBool() bool {
if s == nil {
return false
}
b, _ := strconv.ParseBool(s.SettingValue)
return b
}
func init() {
db.RegisterModel(new(Setting))
}
// ErrSettingIsNotExist represents an error that a setting is not exist with special key
type ErrSettingIsNotExist struct {
Key string
}
// Error implements error
func (err ErrSettingIsNotExist) Error() string {
return fmt.Sprintf("System setting[%s] is not exist", err.Key)
}
// IsErrSettingIsNotExist return true if err is ErrSettingIsNotExist
func IsErrSettingIsNotExist(err error) bool {
_, ok := err.(ErrSettingIsNotExist)
return ok
}
// ErrDataExpired represents an error that update a record which has been updated by another thread
type ErrDataExpired struct {
Key string
}
// Error implements error
func (err ErrDataExpired) Error() string {
return fmt.Sprintf("System setting[%s] has been updated by another thread", err.Key)
}
// IsErrDataExpired return true if err is ErrDataExpired
func IsErrDataExpired(err error) bool {
_, ok := err.(ErrDataExpired)
return ok
}
// GetSetting returns specific setting without using the cache
func GetSetting(ctx context.Context, key string) (*Setting, error) {
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 14:37:34 +01:00
v, err := GetSettings(ctx, []string{key})
if err != nil {
return nil, err
}
if len(v) == 0 {
return nil, ErrSettingIsNotExist{key}
}
return v[strings.ToLower(key)], 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 14:37:34 +01:00
const contextCacheKey = "system_setting"
// GetSettingWithCache returns the setting value via the key
func GetSettingWithCache(ctx context.Context, key, defaultVal string) (string, error) {
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 14:37:34 +01:00
return cache.GetWithContextCache(ctx, contextCacheKey, key, func() (string, error) {
return cache.GetString(genSettingCacheKey(key), func() (string, error) {
res, err := GetSetting(ctx, 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 14:37:34 +01:00
if err != nil {
if IsErrSettingIsNotExist(err) {
return defaultVal, 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 14:37:34 +01:00
return "", err
}
return res.SettingValue, nil
})
})
}
// GetSettingBool return bool value of setting,
// none existing keys and errors are ignored and result in false
func GetSettingBool(ctx context.Context, key string, defaultVal bool) (bool, error) {
s, err := GetSetting(ctx, key)
switch {
case err == nil:
v, _ := strconv.ParseBool(s.SettingValue)
return v, nil
case IsErrSettingIsNotExist(err):
return defaultVal, nil
default:
return false, err
}
}
func GetSettingWithCacheBool(ctx context.Context, key string, defaultVal bool) bool {
s, _ := GetSettingWithCache(ctx, key, strconv.FormatBool(defaultVal))
v, _ := strconv.ParseBool(s)
return v
}
// GetSettings returns specific settings
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 14:37:34 +01:00
func GetSettings(ctx context.Context, keys []string) (map[string]*Setting, error) {
for i := 0; i < len(keys); i++ {
keys[i] = strings.ToLower(keys[i])
}
settings := make([]*Setting, 0, len(keys))
if err := db.GetEngine(ctx).
Where(builder.In("setting_key", keys)).
Find(&settings); err != nil {
return nil, err
}
settingsMap := make(map[string]*Setting)
for _, s := range settings {
settingsMap[s.SettingKey] = s
}
return settingsMap, nil
}
type AllSettings map[string]*Setting
func (settings AllSettings) Get(key string) Setting {
if v, ok := settings[strings.ToLower(key)]; ok {
return *v
}
return Setting{}
}
func (settings AllSettings) GetBool(key string) bool {
b, _ := strconv.ParseBool(settings.Get(key).SettingValue)
return b
}
func (settings AllSettings) GetVersion(key string) int {
return settings.Get(key).Version
}
// GetAllSettings returns all settings from user
func GetAllSettings(ctx context.Context) (AllSettings, error) {
settings := make([]*Setting, 0, 5)
if err := db.GetEngine(ctx).
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 14:37:34 +01:00
func DeleteSetting(ctx context.Context, setting *Setting) error {
cache.RemoveContextData(ctx, contextCacheKey, setting.SettingKey)
cache.Remove(genSettingCacheKey(setting.SettingKey))
_, err := db.GetEngine(ctx).Delete(setting)
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 14:37:34 +01:00
func SetSettingNoVersion(ctx context.Context, key, value string) error {
s, err := GetSetting(ctx, key)
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 14:37:34 +01:00
return SetSetting(ctx, &Setting{
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 14:37:34 +01:00
return SetSetting(ctx, s)
}
// 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 14:37:34 +01:00
func SetSetting(ctx context.Context, setting *Setting) error {
if err := upsertSettingValue(ctx, strings.ToLower(setting.SettingKey), setting.SettingValue, setting.Version); err != nil {
return err
}
setting.Version++
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 14:37:34 +01:00
if err := cc.Put(genSettingCacheKey(setting.SettingKey), setting.SettingValue, setting_module.CacheService.TTLSeconds()); err != nil {
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 14:37:34 +01:00
cache.SetContextData(ctx, contextCacheKey, setting.SettingKey, setting.SettingValue)
return nil
}
func upsertSettingValue(parentCtx context.Context, key, value string, version int) error {
return db.WithTx(parentCtx, func(ctx context.Context) error {
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
)
func Init(ctx context.Context) error {
disableGravatar, err := GetSettingBool(ctx, KeyPictureDisableGravatar, setting_module.GetDefaultDisableGravatar())
if err != nil {
return err
}
enableFederatedAvatar, err := GetSettingBool(ctx, KeyPictureEnableFederatedAvatar, setting_module.GetDefaultEnableFederatedAvatar(disableGravatar))
if err != nil {
return err
}
if setting_module.OfflineMode {
if !disableGravatar {
if err := SetSettingNoVersion(ctx, KeyPictureDisableGravatar, "true"); err != nil {
return fmt.Errorf("failed to set setting %q: %w", KeyPictureDisableGravatar, err)
}
}
disableGravatar = true
if enableFederatedAvatar {
if err := SetSettingNoVersion(ctx, KeyPictureEnableFederatedAvatar, "false"); err != nil {
return fmt.Errorf("failed to set setting %q: %w", KeyPictureEnableFederatedAvatar, err)
}
}
enableFederatedAvatar = false
}
if enableFederatedAvatar || !disableGravatar {
var err error
GravatarSourceURL, err = url.Parse(setting_module.GravatarSource)
if err != nil {
return fmt.Errorf("failed to parse Gravatar URL(%s): %w", setting_module.GravatarSource, err)
}
}
if GravatarSourceURL != nil && enableFederatedAvatar {
LibravatarService = libravatar.New()
if GravatarSourceURL.Scheme == "https" {
LibravatarService.SetUseHTTPS(true)
LibravatarService.SetSecureFallbackHost(GravatarSourceURL.Host)
} else {
LibravatarService.SetUseHTTPS(false)
LibravatarService.SetFallbackHost(GravatarSourceURL.Host)
}
}
return nil
}