streamlit app

app.py

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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)