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gcloud compute --project=test-prj firewall-rules create mlflow-server --direction=INGRESS --priority=999 --network=default --action=ALLOW --rules=tcp:5000 --source-ranges=0.0.0.0/0 --target-tags=mlflow-server

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mlflow server --backend-store-uri ./mlruns  --default-artifact-root gs://mlflow_artifacts/artifacts --host 172.18.x.x

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import os
os.environ['GOOGLE_APPLICATION_CREDENTIALS'] = 'service_account.json'

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from google.cloud import storage
client = storage.Client()

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from github.MainClass import Github
import networkx as nx
import json
import matplotlib.pyplot as plt

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def mount_graph(name_repo, graph):
    nx.set_node_attributes(graph,'qt_contr',1)
    list_repo = [name_repo]
    g = Github('api_key') # Use your own api key here
    with open('countries.json', 'r') as f:
        data=f.read()
    paises = json.loads(data)
    try:
        repo =g.get_repo(name_repo)
        i = 0

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{
  "Afghanistan": [
    "Herat",
    "Kabul",
    "Kandahar",
    "Molah",
    "Rana",
    "Shar",
    "Sharif",
    "Wazir Akbar Khan"

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def plot_save(repo_name):
    name = repo_name.split("/")[-1]
    plt.figure(figsize = (30,30))
    graph = nx.Graph()
    graph = mount_graph(repo_name, graph)
    pos = nx.spring_layout(graph, scale=3)
    n = graph.number_of_nodes()
    nx.draw(graph, pos, node_size=40000, node_color=range(n), with_labels=True, font_size=20, font_weight='bold', cmap=plt.cm.Blues)
    nx.write_graphml(graph, name+"_countries.graphml")

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