rue,\"readFromDocValues\":true},{\"name\":\"clientIp\",\"type\":\"string\",\"esTypes\":[\"keyword\"],\"count\":0,\"scripted\":false,\"searchable\":true,\"aggregatable\":true,\"readFromDocValues\":true},{\"name\":\"createdAt\",\"type\":\"date\",\"esTypes\":[\"date\"],\"count\":0,\"scripted\":false,\"searchable\":true,\"aggregatable\":true,\"readFromDocValues\":true},{\"name\":\"docId\",\"type\":\"string\",\"esTypes\":[\"keyword\"],\"count\":0,\"scripted\":false,\"searchable\":true,\"aggregatable\...

Let's say you have a file structure as described in [Bigger Applications](bigger-applications.md){.internal-link target=_blank}:

```
.
├── app
│   ├── __init__.py
│   └── main.py
```

In the file `main.py` you have your **FastAPI** app:


{* ../../docs_src/app_testing/app_a_py39/main.py *}

### Testing file { #testing-file }

        // When/Then - All error codes should have high bit set (0xC prefix)
        for (int status : errorStatuses) {
            assertTrue((status & (int) 0xC0000000L) == (int) 0xC0000000L,
                    "Error status should have severity bits set to 0xC: " + Integer.toHexString(status));
        }
    }

    @Test
    @DisplayName("Should have status codes array")
    void testStatusCodesArray() {

# Cookie Parameter Models { #cookie-parameter-models }

If you have a group of **cookies** that are related, you can create a **Pydantic model** to declare them. 🍪

This would allow you to **re-use the model** in **multiple places** and also to declare validations and metadata for all the parameters at once. 😎

/// note

This is supported since FastAPI version `0.115.0`. 🤓

///

/// tip

What inspired **FastAPI**, how it compares to alternatives and what it learned from them.

## Intro { #intro }

**FastAPI** wouldn't exist if not for the previous work of others.

There have been many tools created before that have helped inspire its creation.

I have been avoiding the creation of a new framework for several years. First I tried to solve all the features covered by **FastAPI** using many different frameworks, plug-ins, and tools.

        }

        return processFieldConfigs(dataMap, fieldConfigs);
    }

    /**
     * Get the last modified date.
     * @param dataMap The data map.
     * @param responseData The response data.
     * @return The last modified date.
     */
    protected Date getLastModified(final Map<String, Object> dataMap, final ResponseData responseData) {

        } else if (o instanceof String) {
            return toFloat((String) o);
        } else if (o instanceof java.util.Date) {
            if (pattern != null) {
                return Float.valueOf(new SimpleDateFormat(pattern).format(o));
            }
            return Float.valueOf(((java.util.Date) o).getTime());
        } else {
            return toFloat(o.toString());
        }
    }

// but WITHOUT ANY WARRANTY; without even the implied warranty of
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
// GNU Affero General Public License for more details.
//
// You should have received a copy of the GNU Affero General Public License
// along with this program.  If not, see <http://www.gnu.org/licenses/>.

package kafka

import (
	"context"
	"crypto/tls"
	"crypto/x509"

{
  "fess_log.user_info" : {
    "aliases" : { },
    "mappings" : {
      "user_info" : {
        "properties" : {
          "createdAt" : {
            "type" : "date",
            "format" : "date_optional_time"
          },
          "updatedAt" : {
            "type" : "date",
            "format" : "date_optional_time"
          }
        }
      }
    },
    "settings" : {
      "index" : {

/// warning

Have in mind that as the Pydantic team no longer supports Pydantic v1 in recent versions of Python, starting from Python 3.14, using `pydantic.v1` is also not supported in Python 3.14 and above.

///

### Pydantic v1 and v2 on the same app { #pydantic-v1-and-v2-on-the-same-app }