Exemple #1
0
def handle_mapping(
    collection: Union[Dict[str, Any], List[Any]],
    cfg: Dict[str, Any],
) -> ResultE[MapValue]:
    """Find data in path and apply if statements or default value.

    .. versionadded:: 0.0.1

    :param configuration: :term:`configuration` data to use when mapping
    :type configuration: Dict[str, Any]

    :param collection: The collection of data to find data in
    :type collection: Union[Dict[str, Any], List[Any]]

    :return: Success/Failure containers
    :rtype: GoResult

    configuration expected to look like this:

    .. code-block:: json
        {
            "path": [],
            "if_statementss": [{}, {}],
            "default": 'val'
        }

    Flow description:

    find data from path or None ->
    apply if statements ->
    return default value if Failure else mapped value
    """
    return flow(
        collection,
        partial(fetch_data_by_keys, path=cfg.get(PATH, [])),
        fix(lambda _: None),  # type: ignore
        bind(partial(
            apply_regexp,
            regexp=cfg.get(REGEXP, {}),
        ), ),
        fix(lambda _: None),  # type: ignore
        map_(partial(
            apply_slicing,
            slicing=cfg.get(SLICING, {}),
        )),
        bind(
            partial(
                apply_if_statements,
                if_objects=cfg.get(IF_STATEMENTS, []),
            )),
        rescue(  # type: ignore
            lambda _: apply_default(cfg.get(DEFAULT)), ),
    )
Exemple #2
0
def handle_attribute(
    collection: Union[Dict[str, Any], List[Any]],
    cfg: dict,
) -> ResultE[MapValue]:
    """Handle one attribute with mappings, ifs, casting and default value.

    :param collection: The collection of data to find data in
    :type collection: Union[Dict[str, Any], List[Any]]

    :param configuration: :term:`configuration` data to use when mapping
    :type configuration: Dict[str, Any]

    :return: Success/Failure containers
    :rtype: MapValue

    configuration expected to look like this:

    .. code-block:: json

        {
            "mappings": [],  # array of mapping objects
            "separator": None,
            "if_statements": [],  # array of if statement objects
            "casting": {}  # casting object, for casting types
            "default": "default value"
        }

    flow description:

    Map all objects in cfg[MAPPINGS] ->
    Apply separator to values if there are more than 1
    Failure -> fix to Success(None)
    Apply if statements
    Success -> Cast Value
    Failure -> apply default value

    Return Result
    """
    mapped_values = [
        mapped.unwrap() for mapped in [
            handle_mapping(collection, mapping)
            for mapping in cfg.get(MAPPINGS, [])
        ] if is_successful(mapped)
    ]

    # partially declare if statement and casting functions
    ifs = partial(apply_if_statements, if_objects=cfg.get(IF_STATEMENTS, []))
    cast = partial(apply_casting, casting=cfg.get(CASTING, {}))

    return flow(
        apply_separator(mapped_values, separator=cfg.get(SEPARATOR, '')),
        fix(lambda _: None),  # type: ignore
        bind(ifs),
        bind(cast),
        rescue(lambda _: apply_default(default=cfg.get(DEFAULT)), ),
    )
Exemple #3
0
def handle_data_fetcher(
    collection: Union[Dict[str, Any], List[Any]],
    cfg: DataFetcher,
) -> ResultE[AnyType]:
    """Find a data at path or produce a value.

    return value can be:
    - value found at path
    - value found but sliced
    - value found applied to regular expression
    - conditional value depending on if statements
    - default value if all the above still produces `None`

    Flow description:

    find data from path or None ->
    apply regular expression ->
    apply slicing ->
    apply if statements ->
    return default value if Failure else mapped value
    """
    return flow(
        collection,
        partial(fetch_data_by_keys, path=cfg.path),
        fix(lambda _: None),  # type: ignore
        bind(partial(
            apply_regex,
            regex=cfg.regex,
        ), ),
        fix(lambda _: None),  # type: ignore
        map_(partial(
            apply_slicing,
            slicing=cfg.slicing,
        )),
        bind(partial(
            apply_if_statements,
            statements=cfg.if_statements,
        )),
        rescue(  # type: ignore
            lambda _: apply_default(cfg.default), ),
    )
Exemple #4
0
def handle_attribute(
    collection: Union[Dict[str, Any], List[Any]],
    cfg: Attribute,
) -> ResultE[AnyType]:
    """Handle one attribute with data fetchers, ifs, casting and default value.

    flow description:

    Fetch once for all data in Attribute.data_fetchers ->
    Apply separator to values if there are more than 1
    Failure -> fix to Success(None)
    Apply if statements
    Success -> Cast Value
    Failure -> apply default value

    Return Result
    """
    fetched_values = [
        fetched.unwrap() for fetched in  # noqa: WPS361
        [
            handle_data_fetcher(collection, data_fetcher)
            for data_fetcher in cfg.data_fetchers
        ] if is_successful(fetched)
    ]

    # partially declare if statement and casting functions
    ifs = partial(apply_if_statements, statements=cfg.if_statements)

    cast = safe(lambda the_value: the_value)
    if cfg.casting:
        cast = partial(apply_casting, casting=cfg.casting)

    return flow(
        apply_separator(fetched_values, separator=cfg.separator),
        fix(lambda _: None),  # type: ignore
        bind(ifs),
        bind(cast),
        rescue(lambda _: apply_default(default=cfg.default), ),
    )