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import os
import json
import networkx as nx
import streamlit as st
from st_link_analysis import st_link_analysis, NodeStyle, EdgeStyle
from st_link_analysis.component.layouts import LAYOUTS
LAYOUT_NAMES = list(LAYOUTS.keys())
st.set_page_config(layout="wide")
# Sample Data
elements = {
"nodes": [
{"data": {"id": 1, "label": "Node", "name": "Streamlit"}},
{"data": {"id": 2, "label": "PERSON", "name": "Hello"}},
{"data": {"id": 3, "label": "Node", "name": "World"}},
{"data": {"id": 4, "label": "POST", "content": "x"}},
{"data": {"id": 5, "label": "POST", "content": "y"}},
],
"edges": [
{"data": {"id": 6, "label": "FOLLOWS", "source": 1, "target": 2}},
{"data": {"id": 7, "label": "FOLLOWS", "source": 2, "target": 3}},
{"data": {"id": 8, "label": "POSTED", "source": 3, "target": 4}},
{"data": {"id": 9, "label": "POSTED", "source": 1, "target": 5}},
{"data": {"id": 10, "label": "QUOTES", "source": 5, "target": 4}},
],
}
# Style node & edge groups
node_styles = [
NodeStyle("Node", "#FF7F3E", "name"),
]
edge_styles = [
EdgeStyle("RED", "#FFB6C1", directed=False),
EdgeStyle("BLUE", "#87CEEB", directed=False),
]
# Render the component
@st.cache_data
def load_graphs(graphset_name: str):
graphs = nx.read_graph6(graphset_name)
return graphs
def convert_graph_to_json(G, show_blue):
# 创建元素列表，存储节点和边的数据
elements = {"nodes": [], "edges": []}
# 遍历图的所有节点并将其添加到elements["nodes"]
for node in G.nodes(data=True):
# 假设你想为节点提供一个简单的 "label" 和 "name"
# 可以根据需求自定义数据结构
elements["nodes"].append(
{
"data": {
"id": str(node[0]),
"label": node[1].get("label", f"Node"), # 可根据实际属性设置
"name": node[1].get("name", f"Node{node[0]}"),
}
}
)
# 遍历图的所有边并将其添加到elements["edges"]
edge_set = set()
for i, edge in enumerate(G.edges(data=True)):
elements["edges"].append(
{
"data": {
"id": str(i + len(G.nodes)), # 确保edge的id与node的id不冲突
"label": edge[2].get("label", f"RED"),
"source": str(edge[0]),
"target": str(edge[1]),
}
}
)
edge_set.add((str(edge[0]), str(edge[1])))
if show_blue:
for i in range(len(G.nodes)):
for j in range(i+1, len(G.nodes)):
if (str(i), str(j)) in edge_set:
continue
elements["edges"].append(
{
"data": {
"id": str(len(G.nodes) + len(G.edges) + i*(len(G.nodes)) + j), # 确保edge的id与node的id不冲突
"label": "BLUE",
"source": str(i),
"target": str(j),
}
}
)
return elements
with st.sidebar:
st.title("## Ramsey Graph")
graphset_name = st.selectbox("R(s,t)_n.g6", os.listdir("data"), index=0)
graphs = load_graphs(f"data/{graphset_name}")
G = st.radio("G", graphs)
st.markdown("## Visualization Settings")
layout = st.selectbox("Layout Name", LAYOUT_NAMES, index=4)
show_blue = st.checkbox("Show Blue Edges", True)
st.markdown("## Graph Data")
elements = convert_graph_to_json(G, show_blue)
st.json(elements)
print(json.dumps(elements, ensure_ascii=False, indent=2))
st.markdown("# Ramsey Graph")
s, t = graphset_name[1], graphset_name[2]
st.markdown(f"the graph does not contain a clique of size {s} (RED) or an independent set of size {t} (BLUE)")
st_link_analysis(elements, layout, node_styles, edge_styles)
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