Delete visualization.py

visualization.py

@@ -1,137 +0,0 @@
-# genesis/visualization.py
-import networkx as nx
-import plotly.graph_objects as go
-from typing import List, Dict
-
-def generate_pathway_graph(entities: List[str], relationships: List[Dict]) -> go.Figure:
-    """
-    Create an interactive graph visualization using Plotly.
-    entities: List of node labels
-    relationships: List of dicts {source: str, target: str, type: str}
-    """
-    # Create graph
-    G = nx.Graph()
-    for entity in entities:
-        G.add_node(entity)
-    for rel in relationships:
-        G.add_edge(rel["source"], rel["target"], type=rel.get("type", ""))
-
-    pos = nx.spring_layout(G, seed=42)
-
-    # Build edge traces
-    edge_x, edge_y = [], []
-    for edge in G.edges():
-        x0, y0 = pos[edge[0]]
-        x1, y1 = pos[edge[1]]
-        edge_x.extend([x0, x1, None])
-        edge_y.extend([y0, y1, None])
-
-    edge_trace = go.Scatter(
-        x=edge_x, y=edge_y,
-        line=dict(width=1, color="#888"),
-        hoverinfo='none',
-        mode='lines'
-    )
-
-    # Build node traces
-    node_x, node_y, text_labels = [], [], []
-    for node in G.nodes():
-        x, y = pos[node]
-        node_x.append(x)
-        node_y.append(y)
-        text_labels.append(node)
-
-    node_trace = go.Scatter(
-        x=node_x, y=node_y,
-        mode='markers+text',
-        text=text_labels,
-        textposition="top center",
-        hoverinfo='text',
-        marker=dict(
-            showscale=True,
-            colorscale='Viridis',
-            size=20,
-            color=[len(G.adj[n]) for n in G.nodes()],
-            colorbar=dict(
-                thickness=15,
-                title='Connections',
-                xanchor='left',
-                titleside='right'
-            )
-        )
-    )
-
-    fig = go.Figure(data=[edge_trace, node_trace],
-                    layout=go.Layout(
-                        title="Biological Pathway / Network",
-                        title_x=0.5,
-                        showlegend=False,
-                        hovermode='closest',
-                        margin=dict(b=0, l=0, r=0, t=40),
-                        annotations=[dict(
-                            text="GENESIS-AI Interactive Graph",
-                            showarrow=False,
-                            xref="paper", yref="paper",
-                            x=0.005, y=-0.002
-                        )]
-                    ))
-    return fig
-
-def generate_funding_network(companies: List[Dict]) -> go.Figure:
-    """
-    Visualize funding relationships between biotech companies and investors.
-    companies: list of {name, investors}
-    """
-    G = nx.Graph()
-    for c in companies:
-        company_node = c["name"]
-        G.add_node(company_node, type="company")
-        investors = c.get("investors", "").split(", ")
-        for inv in investors:
-            if inv.strip():
-                G.add_node(inv, type="investor")
-                G.add_edge(company_node, inv)
-
-    pos = nx.spring_layout(G, seed=42)
-
-    edge_x, edge_y = [], []
-    for edge in G.edges():
-        x0, y0 = pos[edge[0]]
-        x1, y1 = pos[edge[1]]
-        edge_x.extend([x0, x1, None])
-        edge_y.extend([y0, y1, None])
-
-    edge_trace = go.Scatter(
-        x=edge_x, y=edge_y,
-        line=dict(width=1, color="#888"),
-        hoverinfo='none',
-        mode='lines'
-    )
-
-    node_x, node_y, text_labels = [], [], []
-    colors = []
-    for node, data in G.nodes(data=True):
-        x, y = pos[node]
-        node_x.append(x)
-        node_y.append(y)
-        text_labels.append(node)
-        colors.append("#FF5733" if data["type"] == "company" else "#1F77B4")
-
-    node_trace = go.Scatter(
-        x=node_x, y=node_y,
-        mode='markers+text',
-        text=text_labels,
-        textposition="top center",
-        hoverinfo='text',
-        marker=dict(size=15, color=colors)
-    )
-
-    fig = go.Figure(data=[edge_trace, node_trace],
-                    layout=go.Layout(
-                        title="Biotech Funding Network",
-                        title_x=0.5,
-                        showlegend=False,
-                        hovermode='closest',
-                        margin=dict(b=0, l=0, r=0, t=40)
-                    ))
-    return fig