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docs/em/docs/tutorial/sql-databases.md
```Python hl_lines="2 15 26" {!../../docs_src/sql_databases/sql_app/models.py!} ``` 🕐❔ 🔐 🔢 `items` `User`, `my_user.items`, ⚫️ 🔜 ✔️ 📇 `Item` 🇸🇲 🏷 (⚪️➡️ `items` 🏓) 👈 ✔️ 💱 🔑 ☝ 👉 ⏺ `users` 🏓. 🕐❔ 👆 🔐 `my_user.items`, 🇸🇲 🔜 🤙 🚶 & ☕ 🏬 ⚪️➡️ 💽 `items` 🏓 & 🔗 👫 📥.
Registered: Sun Nov 03 07:19:11 UTC 2024 - Last Modified: Sun Oct 06 20:36:54 UTC 2024 - 25K bytes - Viewed (0) -
cmd/iam-store.go
defer store.unlock() // Load existing policy mapping var mp MappedPolicy if !isGroup { if userType == stsUser { stsMap := xsync.NewMapOf[string, MappedPolicy]() // Attempt to load parent user mapping for STS accounts store.loadMappedPolicy(context.TODO(), name, stsUser, false, stsMap) mp, _ = stsMap.Load(name) } else { mp, _ = cache.iamUserPolicyMap.Load(name) }
Registered: Sun Nov 03 19:28:11 UTC 2024 - Last Modified: Mon Oct 14 16:35:37 UTC 2024 - 83.2K bytes - Viewed (0) -
docs/zh/docs/tutorial/sql-databases.md
这将或多或少会成为一种“神奇”属性,其中表示该表与其他相关的表中的值。 ```Python hl_lines="2 15 26" {!../../docs_src/sql_databases/sql_app/models.py!} ``` 当访问 user 中的属性`items`时,如 中`my_user.items`,它将有一个`Item`SQLAlchemy 模型列表(来自`items`表),这些模型具有指向`users`表中此记录的外键。 当您访问`my_user.items`时,SQLAlchemy 实际上会从`items`表中的获取一批记录并在此处填充进去。 同样,当访问 Item中的属性`owner`时,它将包含表中的`User`SQLAlchemy 模型`users`。使用`owner_id`属性/列及其外键来了解要从`users`表中获取哪条记录。 ## 创建 Pydantic 模型
Registered: Sun Nov 03 07:19:11 UTC 2024 - Last Modified: Sun Oct 06 20:36:54 UTC 2024 - 27.1K bytes - Viewed (0) -
cmd/iam-object-store.go
var basePrefix string switch userType { case svcUser: basePrefix = iamConfigServiceAccountsPrefix case stsUser: basePrefix = iamConfigSTSPrefix default: basePrefix = iamConfigUsersPrefix } ctx, cancel := context.WithCancel(ctx) defer cancel()
Registered: Sun Nov 03 19:28:11 UTC 2024 - Last Modified: Thu Oct 10 23:40:37 UTC 2024 - 26.6K bytes - Viewed (0) -
cmd/iam.go
var oldDN string if isGroup { oldDN = r.Group } else { oldDN = r.User } if oldDN != dn { sys.store.PolicyDBUpdate(ctx, oldDN, isGroup, stsUser, r.Policies, isAttach) } } userType := stsUser updatedAt, addedOrRemoved, effectivePolicies, err = sys.store.PolicyDBUpdate( ctx, dn, isGroup, userType, r.Policies, isAttach) if err != nil { return }
Registered: Sun Nov 03 19:28:11 UTC 2024 - Last Modified: Tue Oct 29 16:01:48 UTC 2024 - 74.6K bytes - Viewed (0) -
docs/nl/docs/features.md
return user_id # Een Pydantic model class User(BaseModel): id: int name: str joined: date ``` Vervolgens kan je het op deze manier gebruiken: ```Python my_user: User = User(id=3, name="John Doe", joined="2018-07-19") second_user_data = { "id": 4, "name": "Mary", "joined": "2018-11-30", } my_second_user: User = User(**second_user_data) ```
Registered: Sun Nov 03 07:19:11 UTC 2024 - Last Modified: Tue Sep 03 13:50:38 UTC 2024 - 10.1K bytes - Viewed (0) -
cmd/admin-handlers-users.go
if err != nil { writeErrorResponseJSON(ctx, w, toAdminAPIErr(ctx, err), r.URL) return } } userType := regUser if globalIAMSys.GetUsersSysType() == LDAPUsersSysType { userType = stsUser // Validate that the user or group exists in LDAP and use the normalized // form of the entityName (which will be an LDAP DN). var err error if isGroup { var foundGroupDN *xldap.DNSearchResult
Registered: Sun Nov 03 19:28:11 UTC 2024 - Last Modified: Thu Oct 03 23:11:02 UTC 2024 - 85.1K bytes - Viewed (0) -
cmd/peer-rest-server.go
} temp, err := strconv.ParseBool(mss.Get(peerRESTUserTemp)) if err != nil { return np, grid.NewRemoteErr(err) } userType := regUser if temp { userType = stsUser } if err = globalIAMSys.LoadUser(context.Background(), objAPI, accessKey, userType); err != nil { return np, grid.NewRemoteErr(err) } return }
Registered: Sun Nov 03 19:28:11 UTC 2024 - Last Modified: Fri Oct 04 11:32:32 UTC 2024 - 53.2K bytes - Viewed (0)