def _get_models_from_directory(from_directory):
    payload = []
    for entry in scantree(from_directory):
        if not entry.name.endswith(".json"):
            logger.debug(
                "Skipping {} - model file must end with .json".format(entry.path)
            )
            continue
        entry_json = process_json_arg(content=entry.path, argument_name=entry.name)
        payload.append(entry_json)

    return _get_models_metadata(payload)
示例#2
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    def _process_directory(self, from_directory):
        logger.debug(
            "Documents contained in directory: {}, processing...".format(
                from_directory))
        payload = []
        for entry in scantree(from_directory):
            if all([
                    not entry.name.endswith(".json"),
                    not entry.name.endswith(".dtdl")
            ]):
                logger.debug(
                    "Skipping {} - model file must end with .json or .dtdl".
                    format(entry.path))
                continue
            entry_json = process_json_arg(content=entry.path,
                                          argument_name=entry.name)
            payload.append(entry_json)

        return payload
def _process_models_directory(from_directory):
    from azext_iot.common.utility import scantree, process_json_arg, read_file_content
    # we need to double-encode the JSON string
    from json import dumps

    models = []
    if os.path.isfile(from_directory) and (from_directory.endswith(".json") or from_directory.endswith(".dtdl")):
        models.append(dumps(read_file_content(file_path=from_directory)))
        return models
    for entry in scantree(from_directory):
        if not any([entry.name.endswith(".json"), entry.name.endswith(".dtdl")]):
            logger.debug(
                "Skipping {} - model file must end with .json or .dtdl".format(
                    entry.path
                )
            )
            continue
        entry_json = process_json_arg(content=entry.path, argument_name=entry.name)

        models.append(dumps(entry_json))
    return models