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docs/en/docs/tutorial/encoder.md
For example, if you need to store it in a database. For that, **FastAPI** provides a `jsonable_encoder()` function. ## Using the `jsonable_encoder` Let's imagine that you have a database `fake_db` that only receives JSON compatible data. For example, it doesn't receive `datetime` objects, as those are not compatible with JSON.
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docs/en/docs/tutorial/testing.md
!!! tip If you want to call `async` functions in your tests apart from sending requests to your FastAPI application (e.g. asynchronous database functions), have a look at the [Async Tests](../advanced/async-tests.md){.internal-link target=_blank} in the advanced tutorial. ## Separating tests
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docs/en/docs/deployment/concepts.md
To achieve this, you will normally have a **separate program** that would make sure your application is run on startup. And in many cases, it would also make sure other components or applications are also run, for example, a database. ### Example Tools to Run at Startup Some examples of the tools that can do this job are: * Docker * Kubernetes * Docker Compose * Docker in Swarm Mode * Systemd * Supervisor
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docs/zh/docs/advanced/async-sql-databases.md
* 创建 `DATABASE_URL` * 创建 `database` ```Python hl_lines="3 9 12" {!../../../docs_src/async_sql_databases/tutorial001.py!} ``` !!! tip "提示" 连接 PostgreSQL 等数据库时,需要修改 `DATABASE_URL`。 ## 创建表 本例中,使用 Python 文件创建表,但在生产环境中,应使用集成迁移等功能的 Alembic 创建表。 本例在启动 **FastAPI** 应用前,直接执行这些操作。 * 创建 `engine` * 使用 `metadata` 对象创建所有表 ```Python hl_lines="25-28"
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docs/em/docs/advanced/async-sql-databases.md
* ✍ `DATABASE_URL`. * ✍ `database` 🎚. ```Python hl_lines="3 9 12" {!../../../docs_src/async_sql_databases/tutorial001.py!} ``` !!! tip 🚥 👆 🔗 🎏 💽 (✅ ✳), 👆 🔜 💪 🔀 `DATABASE_URL`. ## ✍ 🏓 👉 💼, 👥 🏗 🏓 🎏 🐍 📁, ✋️ 🏭, 👆 🔜 🎲 💚 ✍ 👫 ⏮️ ⚗, 🛠️ ⏮️ 🛠️, ♒️. 📥, 👉 📄 🔜 🏃 🔗, ▶️️ ⏭ ▶️ 👆 **FastAPI** 🈸. * ✍ `engine`. * ✍ 🌐 🏓 ⚪️➡️ `metadata` 🎚. ```Python hl_lines="25-28"
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tests/test_dependency_normal_exceptions.py
initial_fake_database = {"rick": "Rick Sanchez"} fake_database = initial_fake_database.copy() initial_state = {"except": False, "finally": False} state = initial_state.copy() app = FastAPI() async def get_database(): temp_database = fake_database.copy() try: yield temp_database fake_database.update(temp_database) except HTTPException:
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docs_src/sql_databases/sql_app/tests/test_sql_app.py
from sqlalchemy import create_engine from sqlalchemy.orm import sessionmaker from sqlalchemy.pool import StaticPool from ..database import Base from ..main import app, get_db SQLALCHEMY_DATABASE_URL = "sqlite://" engine = create_engine( SQLALCHEMY_DATABASE_URL, connect_args={"check_same_thread": False}, poolclass=StaticPool, )
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docs/en/docs/features.md
This also means that in many cases you can pass the same object you get from a request **directly to the database**, as everything is validated automatically. The same applies the other way around, in many cases you can just pass the object you get from the database **directly to the client**.
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docs_src/query_params_str_validations/tutorial008_an_py310.py
app = FastAPI() @app.get("/items/") async def read_items( q: Annotated[ str | None, Query( title="Query string", description="Query string for the items to search in the database that have a good match", min_length=3, ), ] = None, ): results = {"items": [{"item_id": "Foo"}, {"item_id": "Bar"}]} if q: results.update({"q": q})
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docs_src/query_params_str_validations/tutorial010_an_py39.py
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