graph-visualize / app.py
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Update app.py
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import streamlit as st
import networkx as nx
from pyvis.network import Network
import json
from streamlit.components.v1 import html
# Streamlit app layout
st.title("Interactive Graph Visualization and Editor")
st.write("Edit the graph's JSON data and visualize updates dynamically.")
# Read the test.json file initially
default_file = "test.json"
# Function to load JSON from file
def load_json_file(file_path):
try:
with open(file_path, "r") as file:
return json.load(file)
except Exception as e:
st.error(f"Error loading the file: {e}")
return {"nodes": [], "edges": []}
# Load the graph data from the default JSON file
graph_data = load_json_file(default_file)
# Sidebar editor for JSON input
st.sidebar.header("Edit Graph JSON")
json_editor = st.sidebar.text_area("Graph JSON", value=json.dumps(graph_data, indent=4), height=300)
if st.sidebar.button("Update Graph"):
try:
# Parse the updated JSON
graph_data = json.loads(json_editor)
# Save back to the file
with open(default_file, "w") as file:
json.dump(graph_data, file, indent=4)
st.success("Graph JSON updated successfully!")
except Exception as e:
st.sidebar.error(f"Invalid JSON format: {e}")
# Validate JSON structure
if "nodes" not in graph_data or "edges" not in graph_data:
st.error("The JSON file must contain 'nodes' and 'edges' keys.")
else:
try:
# Function to create a NetworkX graph from data
def create_graph(data):
G = nx.DiGraph()
for node in data["nodes"]:
G.add_node(node["id"], label=node.get("label", node["id"]))
for edge in data["edges"]:
G.add_edge(edge["source"], edge["target"], label=edge.get("label", ""))
return G
# Generate the graph
graph = create_graph(graph_data)
# Function to create a pyvis network from NetworkX graph
def create_pyvis_graph(G):
net = Network(height="600px", width="100%", directed=True)
for node, data in G.nodes(data=True):
net.add_node(node, label=data.get("label", node))
for source, target, data in G.edges(data=True):
net.add_edge(source, target, title=data.get("label", ""))
return net
# Create the Pyvis graph
pyvis_graph = create_pyvis_graph(graph)
# Generate the HTML representation of the graph
pyvis_graph_html = pyvis_graph.generate_html()
# Display the graph in Streamlit
html(pyvis_graph_html, height=600)
except Exception as e:
st.error(f"Error processing the graph: {e}")