{* ../../docs_src/openapi_webhooks/tutorial001_py39.py hl[9:13,36:53] *}

The webhooks that you define will end up in the **OpenAPI** schema and the automatic **docs UI**.

/// info

The `app.webhooks` object is actually just an `APIRouter`, the same type you would use when structuring your app with multiple files.

///

By default, **FastAPI** would automatically convert that return value to JSON using the `jsonable_encoder` explained in [JSON Compatible Encoder](../tutorial/encoder.md){.internal-link target=_blank}.

Then, behind the scenes, it would put that JSON-compatible data (e.g. a `dict`) inside of a `JSONResponse` that would be used to send the response to the client.

    }

    /**
     * Gets a bad word by its ID.
     * @param id The bad word ID.
     * @return Optional entity containing the bad word if found.
     */
    public OptionalEntity<BadWord> getBadWord(final String id) {
        return badWordBhv.selectByPK(id);
    }

    /**
     * Stores (inserts or updates) a bad word.
     * @param badWord The bad word to store.
     */

This way, you don't have to know beforehand what the valid field/attribute names are (as would be the case with Pydantic models).

This would be useful if you want to receive keys that you don't already know.

---

Another useful case is when you want to have keys of another type (e.g., `int`).

That's what we are going to see here.

In this case, you would accept any `dict` as long as it has `int` keys with `float` values:

        dst[dstIndex] = (byte) (byteCount & 0xFF);
        dstIndex++;
        dst[dstIndex++] = (byte) (byteCount >> 8 & 0xFF);
        dstIndex += byteCount;

        /* Normally, without intervention everything would batch
         * with everything else. If the below clause evaluates true
         * the andx command will not be written and therefore the
         * response will not read a batched command and therefore

    public EditForm() {
        super();
    }

    /**
     * The unique identifier of the bad word entry being edited.
     * This is a required field for identifying which bad word to update.
     */
    @Required
    @Size(max = 1000)
    public String id;

    /**
     * The username of the user who last updated this bad word entry.
     * Used for audit trail purposes to track who made changes.
     */
    @Size(max = 1000)

  }

  abstract String normalizeWord(String word);

  String normalizeFirstWord(String word) {
    return normalizeWord(word);
  }

  private static String firstCharOnlyToUpper(String word) {
    return word.isEmpty()
        ? word
        : Ascii.toUpperCase(word.charAt(0)) + Ascii.toLowerCase(word.substring(1));
  }

labels.suggest_word_configuration=Suggest Word
labels.suggest_word_title_details=Suggest Word
labels.suggest_word_type=Word Type
labels.suggest_word_number=Number of Words
labels.suggest_word_type_all=All
labels.suggest_word_type_document=Document
labels.suggest_word_type_query=Query
labels.elevate_word_configuration=Elevate Word
labels.elevate_word_title_details=Elevate Word
labels.elevate_word_link_list=List

                    final AnalyzeToken token = tokens.get(i);
                    final String word = token.getTerm();
                    if (StringUtil.isBlank(word)) {
                        continue;
                    }
                    final String[] words = { word };
                    final String[][] readings = new String[words.length][];
                    final List<String> l;

  public void testRemove_nullKeyQueriesUnsupported() {
    try {
      assertFalse(getMap().remove(null, v3()));
    } catch (NullPointerException tolerated) {
      // since the operation would be a no-op, the exception is not required
    }
    expectUnchanged();
  }

  @MapFeature.Require(value = SUPPORTS_REMOVE, absent = ALLOWS_NULL_VALUE_QUERIES)
  public void testRemove_nullValueQueriesUnsupported() {