interactive_assign_nodes.py

from create_graph import create_pkl_graph
import assign_nodes
from assign_nodes import *
from importlib import reload

def main():

        # User example file. This is a 2 column csv with columns for each source and target. The paths are generated based on the user cartoon example. 
    user_example_file = "/Users/lucas/OneDrive - The University of Colorado Denver/Grants/Cartoomics-Grant/Test_Data/DS/DS_example_input.csv"

    # # This should be turned into a config file I think, or CLI with a directory input and we should also add a logger
    triples_list_file = '/Users/lucas/OneDrive - The University of Colorado Denver/knowledge-graphs/pkl/instance_relationsOnly_OWLNETS/PheKnowLator_v3.0.2_full_instance_relationsOnly_OWLNETS_Triples_Identifiers.txt'

    labels_file = '/Users/lucas/OneDrive - The University of Colorado Denver/knowledge-graphs/pkl/instance_relationsOnly_OWLNETS/PheKnowLator_v3.0.2_full_instance_relationsOnly_OWLNETS_NodeLabels.txt'

    identifiers_file = '/Users/lucas/OneDrive - The University of Colorado Denver/knowledge-graphs/pkl/instance_relationsOnly_OWLNETS/PheKnowLator_v3.0.2_full_instance_relationsOnly_OWLNETS_Triples_Integer_Identifier_Map.json'

    triples_integers_file = '/Users/lucas/OneDrive - The University of Colorado Denver/knowledge-graphs/pkl/instance_relationsOnly_OWLNETS/PheKnowLator_v3.0.2_full_instance_relationsOnly_OWLNETS_Triples_Integers.txt'

    output_dir = '/Users/lucas/OneDrive - The University of Colorado Denver/Grants/Cartoomics-Grant/Test_Data/DS'
        
    g = create_pkl_graph(triples_list_file,labels_file)
    u = read_user_input(user_example_file)
    n = unique_nodes(u)
    s = search_nodes(n,g,u)
    create_input_file(s,output_dir)



    #p = subgraph_prioritized_path_cs(input_file,g.igraph,g.igraph_nodes,g.labels_all,g.edgelist,weights,search_type,triples_list_file,output_dir,node2vec_script_dir,embedding_dimensions)

    #print(p)

if __name__ == '__main__':
    main()