app.py

import gradio as gr
import rdflib
import requests
import matplotlib.pyplot as plt
import networkx as nx
from io import BytesIO
import base64

# Verificação simples da versão do Gradio no início
try:
    import pkg_resources
    gradio_version = pkg_resources.get_distribution('gradio').version
    print(f"Gradio version: {gradio_version}")
except:
    print("Não foi possível verificar a versão do Gradio")

def load_names_from_url(jsonld_url):
    """Carrega e extrai os nomes do arquivo JSON-LD."""
    try:
        response = requests.get(jsonld_url)
        data = response.json()
        names = []
        for item in data:
            if 'name' in item:
                names.append(item['name'])
        return sorted(names)  # Retorna nomes ordenados
    except Exception as e:
        print(f"Erro ao carregar dados: {e}")
        return []

def build_graph_from_jsonld(jsonld_url, selected_name):
    """Constrói o grafo a partir dos dados JSON-LD."""
    try:
        response = requests.get(jsonld_url)
        data = response.json()
        
        selected_data = next((item for item in data if item['name'] == selected_name), None)
        
        if not selected_data:
            return "Local não encontrado."
        
        G = nx.DiGraph()
        
        # Adicionar nó do Place
        place_id = selected_data['@id']
        place_label = f"schema:Place\nName: {selected_data['name']}\nDescription: {selected_data['description'][:30]}..."
        G.add_node(place_id, label=place_label)
        
        # Adicionar nó de GeoCoordinates
        geo_data = selected_data['geo']
        geo_id = geo_data['@id']
        geo_label = f"geo:SpatialThing\nLat: {geo_data['lat']}\nLong: {geo_data['long']}\nFeatureCode: {geo_data['gn:featureCode']}\nFeatureCodeName: {geo_data['gn:featureCodeName']}\nName: {geo_data['gn:name']}"
        G.add_node(geo_id, label=geo_label)
        G.add_edge(place_id, geo_id, label="schema:geo")
        
        # Adicionar nós de CreativeWork
        for work in selected_data.get('subjectOf', []):
            work_id = work['@id']
            work_label = f"schema:CreativeWork\nHeadline: {work['headline']}\nGenre: {work['genre']}\nDatePublished: {work['datePublished']}\nText: {work['text'][:30]}...\nLanguage: {work['inLanguage']}"
            G.add_node(work_id, label=work_label)
            G.add_edge(place_id, work_id, label="schema:subjectOf")
        
        return G
    except Exception as e:
        return f"Erro ao construir grafo: {e}"

def run_query_and_visualize(selected_location, jsonld_url):
    """Executa a consulta e visualiza o resultado."""
    try:
        if not selected_location:
            return '<div style="text-align: center; padding: 20px;">Selecione um local para visualizar o grafo</div>'
            
        G = build_graph_from_jsonld(jsonld_url, selected_location)

        if isinstance(G, str):  # Caso de erro
            return f'<div style="color: red; text-align: center; padding: 20px;">{G}</div>'
        
        plt.figure(figsize=(15, 10))
        pos = nx.spring_layout(G, k=1, iterations=50)
        
        nx.draw_networkx_nodes(G, pos, node_size=3000, node_color="skyblue", alpha=0.9)
        nx.draw_networkx_edges(G, pos, width=2, alpha=0.5, edge_color='gray')
        nx.draw_networkx_labels(G, pos, labels=nx.get_node_attributes(G, 'label'), font_size=9)
        nx.draw_networkx_edge_labels(G, pos, edge_labels=nx.get_edge_attributes(G, 'label'), font_size=9)

        plt.title(f"Grafo para: {selected_location}", size=15)
        plt.axis('off')
        
        buf = BytesIO()
        plt.savefig(buf, format='png', dpi=300, bbox_inches='tight')
        buf.seek(0)
        img_str = base64.b64encode(buf.read()).decode()
        plt.close()

        return f'<img src="data:image/png;base64,{img_str}" style="width: 100%; max-width: 1200px;"/>'
    except Exception as e:
        return f'<div style="color: red; text-align: center; padding: 20px;">Erro ao gerar visualização: {e}</div>'

# URL do arquivo JSON-LD
jsonld_url = 'https://huggingface.co/spaces/histlearn/ShowGraph/raw/main/datafile.jsonld'

# Carrega os nomes iniciais
names = load_names_from_url(jsonld_url)

# Interface Gradio
with gr.Blocks(css="footer {display: none}") as demo:
    gr.Markdown("# Visualização de Grafos de Localidades")
    gr.Markdown("Selecione um local para visualizar seu grafo de relacionamentos e citações.")

    with gr.Column():
        selected_location = gr.Dropdown(
            choices=names,
            label="Selecione o Local",
            value=names[0] if names else None
        )
        view_button = gr.Button("Visualizar Grafo", variant="primary")
        result_html = gr.HTML(
            value='<div style="text-align: center; padding: 20px;">Selecione um local e clique em "Visualizar Grafo"</div>'
        )

        view_button.click(
            fn=run_query_and_visualize,
            inputs=[selected_location, gr.Textbox(value=jsonld_url, visible=False)],
            outputs=result_html
        )

if __name__ == "__main__":
    demo.launch()