}

    /**
     * Loads the known keywords. Although the JSON on disk maps from language to keywords, this method
     * inverts this to map from keyword to languages. This is because the same keywords are found in
     * multiple languages, so it is easier and more useful to have a single map of keywords.
     *
     * @return a mapping from keyword to languages.
     */

     * @param message a human-readable message describing what's happening
     * @param keywords the search keywords (for search phase)
     */
    default void onPhaseStart(final String phase, final String message, final String keywords) {
        onPhaseStart(phase, message);
    }

    /**
     * Called when a processing phase completes.
     *

apiVersion: v1
description: High Performance Object Storage
name: minio
version: 5.4.0
appVersion: RELEASE.2024-12-18T13-15-44Z
keywords:
  - minio
  - storage
  - object-storage
  - s3
  - cluster
home: https://min.io
icon: https://min.io/resources/img/logo/MINIO_wordmark.png
sources:
- https://github.com/minio/minio
maintainers:
- name: MinIO, Inc

identifiers:
repository-code: 'https://github.com/fastapi/fastapi'
url: 'https://fastapi.tiangolo.com'
abstract: >-
  FastAPI framework, high performance, easy to learn, fast to code,
  ready for production
keywords:
  - fastapi
  - pydantic
  - starlette

#
map:{
    # your service name, camel case, initial uncapitalised
    ; serviceName = fess

    # package for your domain name, e.g. com.example
    ; domainPackage = org.codelibs.fess

    # keywords for environment properties, same as directory name
    ; environmentList = list:{}

    # environment dispatch by lasta.env of system property?
    ; isUseLastaEnv = false

    # settings for web applications

     * @return the detected intent with extracted keywords
     */
    IntentDetectionResult detectIntent(String userMessage);

    /**
     * Detects the intent of a user message with conversation history context.
     *
     * @param userMessage the user's message
     * @param history the conversation history for context
     * @return the detected intent with extracted keywords
     */

So, we get a Pydantic model from the data in another Pydantic model.

#### Unpacking a `dict` and extra keywords { #unpacking-a-dict-and-extra-keywords }

And then adding the extra keyword argument `hashed_password=hashed_password`, like in:

```Python
UserInDB(**user_in.model_dump(), hashed_password=hashed_password)
```

...ends up being like:

            list = new ArrayList<>();
            fieldLogMap.put(field, list);
        }
        list.add(text);
    }

    /**
     * Gets the default field keywords from the field log.
     * @return List of keywords for the default field, or empty list if none.
     */
    public List<String> getDefaultKeyword() {
        if (fieldLogMap != null) {

/**
 * Form class for creating new elevate word configuration entries.
 * This form handles the creation of elevate word rules that boost
 * specific documents in search results when certain keywords are matched.
 */
public class CreateForm {

    /**
     * Creates a new CreateForm instance.
     */
    public CreateForm() {
        // Default constructor
    }

 * including tracking information for optimistic locking and audit trails.
 * Elevate words are used to boost specific documents in search results when certain keywords are matched.
 *
 */
public class EditForm extends CreateForm {

    /**
     * Creates a new EditForm instance.
     */
    public EditForm() {
        super();
    }

    /**