Process a Pydantic field and return a tuple with a JSON Schema for it as the first item.
    Also return a dictionary of definitions with models as keys and their schemas as values. If the passed field
    is a model and has sub-models, and those sub-models don't have overrides (as ``title``, ``default``, etc), they
    will be included in the definitions and referenced in the schema instead of included recursively.

    :param field: a Pydantic ``Field``
    :param by_alias: use the defined alias (if any) in the returned schema
    :param model_name_map: used to generate the JSON Schema references to other models included in the definitions
    :param ref_prefix: the JSON Pointer prefix to use for references to other schemas, if None, the default of
      #/definitions/ will be used
    :return: tuple of the schema for this field and additional definitions

def field_schema(
    field: Field,
    *,
    by_alias: bool = True,
    model_name_map: Dict[Type['main.BaseModel'], str],
    ref_prefix: Optional[str] = None,
) -> Tuple[Dict[str, Any], Dict[str, Any]]:
    """
    Process a Pydantic field and return a tuple with a JSON Schema for it as the first item.
    Also return a dictionary of definitions with models as keys and their schemas as values. If the passed field
    is a model and has sub-models, and those sub-models don't have overrides (as ``title``, ``default``, etc), they
    will be included in the definitions and referenced in the schema instead of included recursively.

    :param field: a Pydantic ``Field``
    :param by_alias: use the defined alias (if any) in the returned schema
    :param model_name_map: used to generate the JSON Schema references to other models included in the definitions
    :param ref_prefix: the JSON Pointer prefix to use for references to other schemas, if None, the default of
      #/definitions/ will be used
    :return: tuple of the schema for this field and additional definitions
    """
    ref_prefix = ref_prefix or default_prefix
    schema_overrides = False
    schema = cast('Schema', field.schema)
    s = dict(title=schema.title or field.alias.title())
    if schema.title:
        schema_overrides = True

    if schema.description:
        s['description'] = schema.description
        schema_overrides = True

    if not field.required and field.default is not None:
        s['default'] = encode_default(field.default)
        schema_overrides = True

    validation_schema = get_field_schema_validations(field)
    if validation_schema:
        s.update(validation_schema)
        schema_overrides = True

    f_schema, f_definitions = field_type_schema(
        field,
        by_alias=by_alias,
        model_name_map=model_name_map,
        schema_overrides=schema_overrides,
        ref_prefix=ref_prefix,
    )
    # $ref will only be returned when there are no schema_overrides
    if '$ref' in f_schema:
        return f_schema, f_definitions
    else:
        s.update(f_schema)
        return s, f_definitions