Update modules/discourse_analysis.py

modules/discourse_analysis.py

@@ -9,25 +9,39 @@ def compare_semantic_analysis(text1, text2, nlp, lang):
     doc1 = nlp(text1)
     doc2 = nlp(text2)
     
-    fig1 = visualize_semantic_relations(doc1, lang)
-    fig2 = visualize_semantic_relations(doc2, lang)
+    G1, pos_counts1 = create_semantic_graph(doc1, lang)
+    G2, pos_counts2 = create_semantic_graph(doc2, lang)
     
     # Create a new figure with two subplots side by side
     fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(72, 27))
     
-    # Get the contents of fig1 and fig2
-    fig1.axes[0].get_children()
-    for child in fig1.axes[0].get_children():
-        ax1.add_artist(child.copy())
-    ax1.set_title("Documento 1: Relaciones Semánticas Relevantes", fontsize=24, fontweight='bold')
-    ax1.axis('off')
+    # Draw the first graph
+    pos1 = nx.spring_layout(G1, k=0.7, iterations=50)
+    nx.draw(G1, pos1, ax=ax1, node_color=[POS_COLORS.get(G1.nodes[node]['pos'], '#CCCCCC') for node in G1.nodes()],
+            with_labels=True, node_size=5000, font_size=12, font_weight='bold',
+            arrows=True, arrowsize=20, width=2, edge_color='gray')
+    nx.draw_networkx_edge_labels(G1, pos1, edge_labels=nx.get_edge_attributes(G1, 'label'), font_size=10, ax=ax1)
     
-    fig2.axes[0].get_children()
-    for child in fig2.axes[0].get_children():
-        ax2.add_artist(child.copy())
+    # Draw the second graph
+    pos2 = nx.spring_layout(G2, k=0.7, iterations=50)
+    nx.draw(G2, pos2, ax=ax2, node_color=[POS_COLORS.get(G2.nodes[node]['pos'], '#CCCCCC') for node in G2.nodes()],
+            with_labels=True, node_size=5000, font_size=12, font_weight='bold',
+            arrows=True, arrowsize=20, width=2, edge_color='gray')
+    nx.draw_networkx_edge_labels(G2, pos2, edge_labels=nx.get_edge_attributes(G2, 'label'), font_size=10, ax=ax2)
+    
+    ax1.set_title("Documento 1: Relaciones Semánticas Relevantes", fontsize=24, fontweight='bold')
     ax2.set_title("Documento 2: Relaciones Semánticas Relevantes", fontsize=24, fontweight='bold')
+    
+    ax1.axis('off')
     ax2.axis('off')
     
+    # Add legends
+    legend_elements = [plt.Rectangle((0,0),1,1,fc=POS_COLORS.get(pos, '#CCCCCC'), edgecolor='none', 
+                       label=f"{POS_TRANSLATIONS[lang].get(pos, pos)}")
+                       for pos in ['NOUN', 'VERB']]
+    ax1.legend(handles=legend_elements, loc='upper left', bbox_to_anchor=(0, 1), fontsize=12)
+    ax2.legend(handles=legend_elements, loc='upper left', bbox_to_anchor=(0, 1), fontsize=12)
+    
     plt.tight_layout()
     
     return fig