},
        {
            "name": "System of an Up",
            "items": [
                {
                    "name": "Salt",
                    "description": "The kombucha mushroom people's favorite",
                },
                {"name": "Pad Thai", "description": None},
                {
                    "name": "Lonely Night",
                    "description": "The mostests lonliest nightiest of allest",

		</postConstruct>
		<!-- fess_log index -->
		<postConstruct name="addIndexConfig">
			<arg>"fess_log.click_log/click_log"</arg>
		</postConstruct>
		<postConstruct name="addIndexConfig">
			<arg>"fess_log.favorite_log/favorite_log"</arg>
		</postConstruct>
		<postConstruct name="addIndexConfig">
			<arg>"fess_log.search_log/search_log"</arg>
		</postConstruct>
		<postConstruct name="addIndexConfig">

        "format": "date_optional_time"
      },
      "digest": {
        "type": "text",
        "index": false
      },
      "doc_id": {
        "type": "keyword"
      },
      "favorite_count": {
        "type": "long"
      },
      "filename": {
        "type": "keyword"
      },
      "filetype": {
        "type": "keyword"
      },
      "host": {
        "type": "keyword"

        "format": "date_optional_time"
      },
      "digest": {
        "type": "text",
        "index": false
      },
      "doc_id": {
        "type": "keyword"
      },
      "favorite_count": {
        "type": "long"
      },
      "filename": {
        "type": "keyword"
      },
      "filetype": {
        "type": "keyword"
      },
      "host": {
        "type": "keyword"

        "format": "date_optional_time"
      },
      "digest": {
        "type": "text",
        "index": false
      },
      "doc_id": {
        "type": "keyword"
      },
      "favorite_count": {
        "type": "long"
      },
      "filename": {
        "type": "keyword"
      },
      "filetype": {
        "type": "keyword"
      },
      "host": {
        "type": "keyword"

You can also return Pydantic models (you'll see more about that later).

There are many other objects and models that will be automatically converted to JSON (including ORMs, etc). Try using your favorite ones, it's highly probable that they are already supported.

## Recap

* Import `FastAPI`.
* Create an `app` instance.
* Write a **path operation decorator** (like `@app.get("/")`).

    //                                                                       =============
    @Override
    public String asTableDbName() {
        return "favorite_log";
    }

    @Override
    public String xgetAliasName() {
        return "favorite_log";
    }

    // ===================================================================================

                }
                if ("click_log".equals(name)) {
                    return writeNdjsonResponse(id, getClickLogNdjsonWriteCall());
                }
                if ("favorite_log".equals(name)) {
                    return writeNdjsonResponse(id, getFavoriteLogNdjsonWriteCall());
                }
            } else if ("fess.json".equals(id)) {

    }

    default void setUserFavorite(final boolean value) {
        setSystemPropertyAsBoolean(Constants.USER_FAVORITE_PROPERTY, value);
    }

    default boolean isUserFavorite() {
        return getSystemPropertyAsBoolean(Constants.USER_FAVORITE_PROPERTY, false);
    }

    default void setWebApiJson(final boolean value) {

This solved having to write YAML (another syntax) inside of Python docstrings.

This combination of Flask, Flask-apispec with Marshmallow and Webargs was my favorite backend stack until building **FastAPI**.

Using it led to the creation of several Flask full-stack generators. These are the main stacks I (and several external teams) have been using up to now: