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docs/en/docs/advanced/behind-a-proxy.md
And the proxy would be **"stripping"** the **path prefix** on the fly before transmitting the request to the app server (probably Uvicorn via FastAPI CLI), keeping your application convinced that it is being served at `/app`, so that you don't have to update all your code to include the prefix `/api/v1`. Up to here, everything would work as normally.
Registered: Sun Sep 07 07:19:17 UTC 2025 - Last Modified: Sun Aug 31 19:34:08 UTC 2025 - 16K bytes - Viewed (0) -
src/main/java/jcifs/internal/smb2/rdma/disni/DisniRdmaConnection.java
import jcifs.internal.smb2.rdma.RdmaNegotiateResponse; /** * DiSNI RDMA connection implementation. * * This class would integrate with the DiSNI library to provide * high-performance RDMA operations over InfiniBand/RoCE networks. * * Note: This is a skeleton implementation. A real implementation would * require proper DiSNI integration with actual RDMA hardware. */ public class DisniRdmaConnection extends RdmaConnection {
Registered: Sun Sep 07 00:10:21 UTC 2025 - Last Modified: Sat Aug 23 05:11:12 UTC 2025 - 10.2K bytes - Viewed (0) -
docs/en/docs/deployment/https.md
Here's an example of how an HTTPS API could look like, step by step, paying attention mainly to the ideas important for developers. ### Domain Name { #domain-name } It would probably all start by you **acquiring** some **domain name**. Then, you would configure it in a DNS server (possibly your same cloud provider).
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docs/en/docs/deployment/docker.md
This is what you would want to do in **most cases**, for example: * Using **Kubernetes** or similar tools * When running on a **Raspberry Pi** * Using a cloud service that would run a container image for you, etc. ### Package Requirements { #package-requirements } You would normally have the **package requirements** for your application in some file.
Registered: Sun Sep 07 07:19:17 UTC 2025 - Last Modified: Sun Aug 31 09:15:41 UTC 2025 - 29.5K bytes - Viewed (1) -
docs/en/docs/deployment/concepts.md
This Manager Process would probably be the one listening on the **port** in the IP. And it would transmit all the communication to the worker processes. Those worker processes would be the ones running your application, they would perform the main computations to receive a **request** and return a **response**, and they would load anything you put in variables in RAM.
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docs/en/docs/tutorial/query-params-str-validations.md
Instead, use the actual default value of the function parameter. Otherwise, it would be inconsistent. For example, this is not allowed: ```Python q: Annotated[str, Query(default="rick")] = "morty" ``` ...because it's not clear if the default value should be `"rick"` or `"morty"`. So, you would use (preferably): ```Python q: Annotated[str, Query()] = "rick" ```
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docs/en/docs/advanced/generate-clients.md
* Response payloads. You would also have **inline errors** for everything. And whenever you update the backend code, and **regenerate** the frontend, it would have any new *path operations* available as methods, the old ones removed, and any other change would be reflected on the generated code. 🤓
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docs/en/docs/tutorial/sql-databases.md
/// tip This is how you would handle **passwords**. Receive them, but don't return them in the API. You would also **hash** the values of the passwords before storing them, **never store them in plain text**. /// The fields of `HeroCreate` are: * `name` * `age`
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docs/en/docs/virtual-environments.md
After that, you would need to **install** FastAPI and any other **packages** you want to use. To install packages you would normally use the `pip` command that comes with Python (or similar alternatives). Nevertheless, if you just use `pip` directly, the packages would be installed in your **global Python environment** (the global installation of Python).
Registered: Sun Sep 07 07:19:17 UTC 2025 - Last Modified: Sun Aug 31 09:15:41 UTC 2025 - 22.4K bytes - Viewed (0) -
docs/en/docs/tutorial/response-model.md
For example, you could want to **return a dictionary** or a database object, but **declare it as a Pydantic model**. This way the Pydantic model would do all the data documentation, validation, etc. for the object that you returned (e.g. a dictionary or database object).
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