def flatten()

in eland/field_mappings.py [0:0]

• 28 lines of code
• 16 McCabe index (conditional complexity)

        def flatten(x, name=""):
            if isinstance(x, dict):
                for a in x:
                    if a == "type" and isinstance(
                        x[a], str
                    ):  # 'type' can be a name of a field
                        field_name = name[:-1]
                        field_type = x[a]
                        # if field_type is 'date' keep track of the format info when available
                        date_format = None
                        if field_type == "date" and "format" in x:
                            date_format = x["format"]
                        # If there is a conflicting type, warn - first values added wins
                        if field_name in fields and fields[field_name] != (
                            field_type,
                            date_format,
                        ):
                            warnings.warn(
                                f"Field {field_name} has conflicting types "
                                f"{fields[field_name]} != {field_type}",
                                UserWarning,
                            )
                        else:
                            fields[field_name] = (field_type, date_format)
                    elif a == "properties" or (not source_only and a == "fields"):
                        flatten(x[a], name)
                    elif not (
                        source_only and a == "fields"
                    ):  # ignore multi-field fields for source_only
                        flatten(x[a], name + a + ".")