def METHOD_NAME(self, name: str, data_file: str, source: str) -> None:
    """Process the data_file.
    Args:
        name: Name of the ontology
        data_file: data file to parse
        source: Source name
    Returns:
         None.
    """
    print(f"Parsing {data_file}")
    compression: Optional[str]
    if data_file.endswith(".gz"):
        compression = "gz"
    else:
        compression = None
    transform(
        inputs=[data_file],
        input_format="obojson",
        input_compression=compression,
        output=os.path.join(self.output_dir, name),
        output_format="tsv",
    )
    # Extra step here to add extra nodes+edges for mappings
    if name == "chebi":
        edgefile_name = name + "_edges.tsv"
        nodefile_name = name + "_nodes.tsv"
        # Retrieve all node ids
        all_node_ids = []
        with open(os.path.join(self.output_dir, nodefile_name)) as nodefile:
            node_rows = csv.DictReader(nodefile, delimiter="\t")
            for row in node_rows:
                all_node_ids.append(row["id"])
            all_node_ids = list(set(all_node_ids))
        # Get mappings for each node id
        node_mappings = {}
        with open("./maps/drugcentral-maps-kg_covid_19-0.1.sssom.tsv") as map_file:
            for _ in range(11):
                next(map_file)
            norm_map = csv.DictReader(map_file, delimiter="\t")
            for row in norm_map:
                if row["subject_id"] in all_node_ids and row["object_id"] != "":
                    node_mappings[row["subject_id"]] = row["object_id"]
        # For each node id with a mapping, build a new relation
        # and its corresponding nodes
        new_match_relations = []
        all_map_nodes = []
        for subject, object in node_mappings.items():
            urn = "urn:uuid:" + str(uuid.uuid1())
            new_relation = f"{urn}\t{subject}\tbiolink:exact_match\t{object}\tskos:exactMatch\tchebi.json.gz\n"  # noqa: E501
            new_match_relations.append(new_relation)
            object_iri = (
                "https://drugcentral.org/drugcard/" + (object.split(":"))[1]
            )
            new_map_node = (
                f"{object}\tbiolink:Drug\t\t\t\t\t\t{object_iri}\t\t\t\t\t\t\t\n"
            )
            all_map_nodes.append(new_map_node)
        # Write all relations to the edge file
        with open(os.path.join(self.output_dir, edgefile_name), "a") as edgefile:
            for relation in new_match_relations:
                edgefile.write(relation)
        # Write all mapped ids to the node file
        with open(os.path.join(self.output_dir, nodefile_name), "a") as nodefile:
            for node in all_map_nodes:
                nodefile.write(node)