package disk

import (
	"errors"
	"fmt"
	"syscall"
)

// GetInfo returns total and free bytes available in a directory, e.g. `/`.
func GetInfo(path string, _ bool) (info Info, err error) {
	s := syscall.Statfs_t{}
	err = syscall.Statfs(path, &s)
	if err != nil {
		return Info{}, err
	}
	reservedBlocks := uint64(s.F_bfree) - uint64(s.F_bavail)
	info = Info{

from fastapi import FastAPI, Path, Query

app = FastAPI()


@app.get("/items/{item_id}")
async def read_items(
    item_id: int = Path(title="The ID of the item to get"),
    q: str | None = Query(default=None, alias="item-query"),
):
    results = {"item_id": item_id}
    if q:
        results.update({"q": q})

from typing import Any


def get_body_model_name(openapi: dict[str, Any], path: str) -> str:
    body = openapi["paths"][path]["post"]["requestBody"]
    body_schema = body["content"]["application/json"]["schema"]

Accessing to contents inside an archive can be done using regular S3 API with a modified request path. You just need to append the path of the content inside the archive to the path of the archive itself.

e.g.:
To download `2021/taxes.csv` archived in `financial.zip` and stored under a bucket named `company-data`, you can issue a GET request using the following path 'company-data/financial.zip/2021/taxes.csv`

## Contents properties

    @Override
    protected int writeBytesWireFormat(final byte[] dst, int dstIndex) {
        final int start = dstIndex;

        dst[dstIndex] = (byte) 0x04;
        dstIndex++;
        dstIndex += writeString(this.path, dst, dstIndex);

        return dstIndex - start;
    }

    @Override
    protected int readParameterWordsWireFormat(final byte[] buffer, final int bufferIndex) {
        return 0;
    }

    @Override

Si tienes bastante conocimiento técnico (coroutines, hilos, bloqueo, etc.) y tienes curiosidad sobre cómo FastAPI maneja `async def` vs `def` normal, adelante.

///

### Funciones de *path operation* { #path-operation-functions }

Cuando declaras una *path operation function* con `def` normal en lugar de `async def`, se ejecuta en un threadpool externo que luego es esperado, en lugar de ser llamado directamente (ya que bloquearía el servidor).

import json
from pathlib import Path

file_path = Path("./openapi.json")
openapi_content = json.loads(file_path.read_text())

for path_data in openapi_content["paths"].values():
    for operation in path_data.values():
        tag = operation["tags"][0]
        operation_id = operation["operationId"]
        to_remove = f"{tag}-"
        new_operation_id = operation_id[len(to_remove) :]
        operation["operationId"] = new_operation_id

## Combina responses predefinidos y personalizados { #combine-predefined-responses-and-custom-ones }

Es posible que desees tener algunos responses predefinidos que se apliquen a muchas *path operations*, pero que quieras combinarlos con responses personalizados necesarios por cada *path operation*.

Para esos casos, puedes usar la técnica de Python de "desempaquetar" un `dict` con `**dict_to_unpack`:

```Python
old_dict = {
    "old key": "old value",

## Combine predefined responses and custom ones { #combine-predefined-responses-and-custom-ones }

You might want to have some predefined responses that apply to many *path operations*, but you want to combine them with custom responses needed by each *path operation*.

For those cases, you can use the Python technique of "unpacking" a `dict` with `**dict_to_unpack`:

```Python
old_dict = {
    "old key": "old value",

					<input type="hidden" name="path" value="${f:h(path)}">
					<input type="hidden" name="name" value="${f:h(name)}">
					<div class="row">
						<div class="col-md-12">
							<div class="card card-outline card-success">
								<div class="card-header">
									<h3 class="card-title">
										<la:message key="labels.storage_title_tag" />
										<c:if test="${path!=null}">${f:h(path)}/</c:if>${f:h(name)}
									</h3>