from mastodon_reader import MastodonReader

mr = MastodonReader("demo/demo.mastodon")

# show meta data
meta_data = mr.read_metadata()

# read (networkX) graph representation, spot and link tables with features and tags columns
graph, spots, links, tag_definition = mr.read(tags=True, features=True)

# read only spot and link tables
spots, links = mr.read_tables()

# read tag_definition and add tags as new columns to the spot and link tables
tag_definition = mr.read_tags(spots, links)

# read features and add as new columns to the spot and link tables
mr.read_features(spots, links)

# create networkX DiGraph representation form spots and links
graph = mr.create_nx_graph(spots, links)