from dirty_equals import IsPartialDict
from fastapi import Cookie, FastAPI, Header, Query
from fastapi.testclient import TestClient
from pydantic import BaseModel, Field

app = FastAPI()


class Model(BaseModel):
    param: str = Field(alias="param_alias")


@app.get("/query")
async def query_model(data: Model = Query()):
    return {"param": data.param}


@app.get("/header")
async def header_model(data: Model = Header()):

 * <li>{@link #indexFromQueryLog(QueryLog)} - Index from a single query log.
 * <li>{@link #indexFromQueryLog(QueryLog[])} - Index from multiple query logs.
 * <li>{@link #indexFromQueryLog(QueryLogReader, int, long)} - Index from query log reader with specified document per request and request interval.
 * <li>{@link #indexFromDocument(Map[])} - Index from an array of documents.

        }
        return null;
    }

    /**
     * Extracts URLs from HTML tag attributes using XPath.
     *
     * @param url the base URL for resolving relative URLs
     * @param document the document to extract URLs from
     * @param xpath the XPath expression to select elements
     * @param attr the attribute name to extract URLs from
     * @param encoding the character encoding to use

    /** Offset from the start of the SMB header to the parameter bytes */
    protected int parameterOffset;
    /** Displacement of these parameter bytes from the start of the total parameter block */
    protected int parameterDisplacement;
    /** Offset from the start of the SMB header to the data bytes */
    protected int dataOffset;
    /** Displacement of these data bytes from the start of the total data block */

     */
    public void setMailProperties(final Properties mailProperties) {
        this.mailProperties = mailProperties;
    }

    /**
     * Extracts the body text from a MIME message.
     *
     * @param message the MIME message to extract text from
     * @return the extracted body text
     * @throws ExtractException if extraction fails
     */
    protected String getBodyText(final MimeMessage message) {

$ python main.py

// As we didn't set the env var, we get the default value

Hello World from Python

// But if we create an environment variable first
$ export MY_NAME="Wade Wilson"

// And then call the program again
$ python main.py

// Now it can read the environment variable

Hello Wade Wilson from Python
```

</div>

////

//// tab | Windows PowerShell

<div class="termy">

     * @param fields the fields to extract from the query log
     * @param tagFieldNames the names of the fields to use as tags
     * @param roleFieldName the name of the field to use for roles
     * @param readingConverter the converter to use for reading values
     * @param normalizer the normalizer to use for normalizing values
     * @return a list of suggest items parsed from the query log
     */

     * @return a stream of substrings resulting from splitting the input string, or an empty stream if the input is {@code null}
     */
    public static StreamOf<String> split(final String value, final String regex) {
        return stream(value == null ? null : value.split(regex));
    }

    /**
     * Creates a stream of map entries from the given map.
     *
     * @param <K> the type of keys in the map

## Description from docstring { #description-from-docstring }

As descriptions tend to be long and cover multiple lines, you can declare the *path operation* description in the function <abbr title="a multi-line string as the first expression inside a function (not assigned to any variable) used for documentation">docstring</abbr> and **FastAPI** will read it from there.

from datetime import datetime, time, timedelta
from typing import Annotated
from uuid import UUID

from fastapi import Body, FastAPI

app = FastAPI()


@app.put("/items/{item_id}")
async def read_items(
    item_id: UUID,
    start_datetime: Annotated[datetime, Body()],
    end_datetime: Annotated[datetime, Body()],
    process_after: Annotated[timedelta, Body()],
    repeat_at: Annotated[time | None, Body()] = None,
):