from typing import Annotated

import pytest
from dirty_equals import IsOneOf, IsPartialDict
from fastapi import FastAPI, Form
from fastapi.testclient import TestClient
from pydantic import BaseModel, Field

from .utils import get_body_model_name

app = FastAPI()

# =====================================================================================
# Without aliases


@app.post("/required-list-str", operation_id="required_list_str")

        }

        context.addFieldLog(field, text + "*");
        context.addHighlightedQuery(text);
        if (getQueryFieldConfig().notAnalyzedFieldSet.contains(field)) {
            return QueryBuilders.prefixQuery(field, toLowercaseWildcard(text)).boost(boost);
        }
        return QueryBuilders.matchPhrasePrefixQuery(field, toLowercaseWildcard(text))
                .boost(boost)

    // --------------------------/
    // - Class/Member Variables -/
    // --------------------------/

    /**
     * Field extensions.
     */
    private List<CoreExtension> extensions;

    /**
     * Field modelEncoding.
     */
    private String modelEncoding = "UTF-8";

    // -----------/
    // - Methods -/
    // -----------/

    /**

    /** The name of the query. */
    public static final String NAME = "sltr";

    /** The parse field for the model name. */
    public static final ParseField MODEL_NAME = new ParseField("model");
    /** The parse field for the featureset name. */
    public static final ParseField FEATURESET_NAME = new ParseField("featureset");
    /** The parse field for the store name. */
    public static final ParseField STORE_NAME = new ParseField("store");

* `read(size)`: Lê `size` (`int`) bytes/caracteres do arquivo.
* `seek(offset)`: Vai para o byte na posição `offset` (`int`) no arquivo.
    * Por exemplo, `await myfile.seek(0)` irá para o início do arquivo.
    * Isso é especialmente útil se você executar `await myfile.read()` uma vez e precisar ler o conteúdo novamente.
* `close()`: Fecha o arquivo.

Como todos esses métodos são métodos `assíncronos`, você precisa "aguardar" por eles.

     *
     * @param document The document to parse, represented as a map of field names to values.
     * @param fields The fields to extract from the document.
     * @param tagFieldNames The names of the fields that contain tags.
     * @param roleFieldName The name of the field that contains role information.
     * @param langFieldName The name of the field that contains language information.

from typing import Annotated, Union

import pytest
from dirty_equals import IsOneOf, IsPartialDict
from fastapi import Body, FastAPI
from fastapi.testclient import TestClient
from pydantic import BaseModel, Field

from .utils import get_body_model_name

app = FastAPI()

# =====================================================================================
# Without aliases

            {
                "type": "missing",
                "loc": ["body", "username"],
                "msg": "Field required",
                "input": {},
            },
            {
                "type": "missing",
                "loc": ["body", "password"],
                "msg": "Field required",
                "input": {},
            },
        ]
    }

     * @param key the field name to match against
     * @param regex the regular expression pattern
     */
    public void addRule(final String key, final String regex) {
        regexMap.put(key, Pattern.compile(regex));
    }

    /**
     * Adds a compiled regular expression rule for the specified field.
     * @param key the field name to match against

    assert response.status_code == 422
    assert response.json() == {
        "detail": [
            {
                "type": "missing",
                "loc": ["body", "p"],
                "msg": "Field required",
                "input": None,
            }
        ]
    }


@pytest.mark.parametrize(
    "path",
    [
        "/list-bytes",
        "/list-uploadfile",
    ],
)