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Results 1 - 6 of 6 for owner_id (0.07 sec)

  1. schema/schema_test.go

    		{Name: "OwnerID", DBName: "company_owner_id", BindNames: []string{"Base", "OwnerID"}, DataType: schema.Int, Size: 64, TagSettings: map[string]string{"EMBEDDED": "EMBEDDED", "EMBEDDEDPREFIX": "company_"}},
    		{Name: "OwnerID", DBName: "owner_id", BindNames: []string{"CorpBase", "OwnerID"}, DataType: schema.String},
    	}
    
    	for _, f := range fields {
    Registered: Sun Nov 03 09:35:10 UTC 2024
    - Last Modified: Thu Jun 20 12:19:31 UTC 2024
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  2. docs/em/docs/tutorial/sql-databases.md

    `item.dict()`
    
     & ⤴️ 👥 🚶‍♀️ `dict`'Ⓜ 🔑-💲 👫 🇨🇻 ❌ 🇸🇲 `Item`, ⏮️:
    
    `Item(**item.dict())`
    
     & ⤴️ 👥 🚶‍♀️ ➕ 🇨🇻 ❌ `owner_id` 👈 🚫 🚚 Pydantic *🏷*, ⏮️:
    
    `Item(**item.dict(), owner_id=user_id)`
    
    ///
    
    ## 👑 **FastAPI** 📱
    
    & 🔜 📁 `sql_app/main.py` ➡️ 🛠️ & ⚙️ 🌐 🎏 🍕 👥 ✍ ⏭.
    
    ### ✍ 💽 🏓
    
    📶 🙃 🌌 ✍ 💽 🏓:
    
    Registered: Sun Nov 03 07:19:11 UTC 2024
    - Last Modified: Sun Oct 06 20:36:54 UTC 2024
    - 25K bytes
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  3. docs/zh/docs/tutorial/sql-databases.md

    这里不是将每个关键字参数传递给Item并从Pydantic模型中读取每个参数,而是先生成一个字典,其中包含Pydantic模型的数据:
    
    `item.dict()`
    
    然后我们将dict的键值对 作为关键字参数传递给 SQLAlchemy `Item`:
    
    `Item(**item.dict())`
    
    然后我们传递 Pydantic模型未提供的额外关键字参数`owner_id`:
    
    `Item(**item.dict(), owner_id=user_id)`
    
    ///
    
    ## 主**FastAPI**应用程序
    
    现在在`sql_app/main.py`文件中 让我们集成和使用我们之前创建的所有其他部分。
    
    ### 创建数据库表
    
    以非常简单的方式创建数据库表:
    
    //// tab | Python 3.9+
    
    Registered: Sun Nov 03 07:19:11 UTC 2024
    - Last Modified: Sun Oct 06 20:36:54 UTC 2024
    - 27.1K bytes
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  4. tests/joins_test.go

    func TestJoinsPreload_Issue7013_RelationEmpty(t *testing.T) {
    	type (
    		Furniture struct {
    			gorm.Model
    			OwnerID *uint
    		}
    
    		Owner struct {
    			gorm.Model
    			Furnitures []Furniture
    			CompanyID  *uint
    			Company    Company
    		}
    
    		Building struct {
    			gorm.Model
    			Name    string
    			OwnerID *uint
    			Owner   Owner
    		}
    	)
    
    	DB.Migrator().DropTable(&Building{}, &Owner{}, &Furniture{})
    Registered: Sun Nov 03 09:35:10 UTC 2024
    - Last Modified: Mon Jun 17 03:58:13 UTC 2024
    - 15K bytes
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  5. schema/relationship.go

    //
    //	type User struct {
    //	  Toys []Toy `gorm:"polymorphic:Owner;"`
    //	}
    //	type Pet struct {
    //	  Toy Toy `gorm:"polymorphic:Owner;"`
    //	}
    //	type Toy struct {
    //	  OwnerID   int
    //	  OwnerType string
    //	}
    func (schema *Schema) buildPolymorphicRelation(relation *Relationship, field *Field) {
    	polymorphic := field.TagSettings["POLYMORPHIC"]
    
    	relation.Polymorphic = &Polymorphic{
    Registered: Sun Nov 03 09:35:10 UTC 2024
    - Last Modified: Wed Jun 12 03:46:59 UTC 2024
    - 22.7K bytes
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  6. docs/en/docs/release-notes.md

    For example, if you have an app like this:
    
    ```Python
    from fastapi import FastAPI
    from pydantic import BaseModel
    
    class Item(BaseModel):
        name: str
        price: Optional[float] = None
        owner_ids: Optional[List[int]] = None
    
    app = FastAPI()
    
    @app.get("/items/invalidnone", response_model=Item)
    def get_invalid_none():
        return None
    ```
    
    Registered: Sun Nov 03 07:19:11 UTC 2024
    - Last Modified: Fri Nov 01 11:25:57 UTC 2024
    - 460.3K bytes
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