Update modules/dados.py

modules/dados.py

@@ -187,15 +187,17 @@ bairro_list = ["Todos"] + sorted(df['Bairro'].dropna().unique().tolist())
 fonte_list = ["Todos"] + sorted(df['Fonte'].dropna().unique().tolist())
 
 
+# Encontrar a menor e a maior data no DataFrame
+min_data = df['Data'].min()
+max_data = df['Data'].max()
+
 def dados_tab():
     with gr.Tab("Pesquisar Dados"):
         toggle_filters = gr.Checkbox(label="Exibir Campos de Pesquisa", value=True)
-
         with gr.Row(visible=True) as filters:
             tipo_filter = gr.Dropdown(label="Selecione os Tipos de Imóvel", choices=property_types, value=["Todos"], multiselect=True)
             bairro_filter = gr.Dropdown(label="Selecione os Bairros", choices=bairro_list, value=["Todos"], multiselect=True)
             fonte_filter = gr.Dropdown(label="Selecione a Fonte", choices=fonte_list, value=["Todos"], multiselect=True)
-
         with gr.Row(visible=True) as area_filters:
             min_atotal = gr.Number(label="Área Total Mínima", value=None)
             max_atotal = gr.Number(label="Área Total Máxima", value=None)
@@ -203,56 +205,54 @@ def dados_tab():
             max_apriv = gr.Number(label="Área Privativa Máxima", value=None)
             min_ater = gr.Number(label="Área Terreno Mínima", value=None)
             max_ater = gr.Number(label="Área Terreno Máxima", value=None)
-            
+
         with gr.Row(visible=True) as date_filters:
-            min_date = gr.Textbox(label="Data Inicial (AAAA-MM-DD)", value="")
-            max_date = gr.Textbox(label="Data Final (AAAA-MM-DD)", value="")
+            min_date = gr.Textbox(label="Data Inicial (AAAA-MM-DD)", value=min_data.strftime('%Y-%m-%d'))
+            max_date = gr.Textbox(label="Data Final (AAAA-MM-DD)", value=max_data.strftime('%Y-%m-%d'))
 
         with gr.Row(visible=True) as address_filters:
             address_input = gr.Textbox(label="Endereço (Opcional)")
             radius_input = gr.Number(label="Raio em metros (Opcional)")
-
         with gr.Row():
             search_button = gr.Button("Pesquisar")
             clear_button = gr.Button("Limpar")
-
         map_output = gr.Plot()
         stats_output = gr.Textbox(lines=4, label="Estatísticas")
         filtered_df_output = gr.DataFrame(label="Dados Filtrados")
         download_output = gr.File(label="Baixar Dados Filtrados")
 
         def clear_action():
-            return (["Todos"], ["Todos"], ["Todos"], None, None, None, None, None, None, "", "", "", None, None, "", pd.DataFrame(), None)
+            return (["Todos"], ["Todos"], ["Todos"], None, None, None, None, None, None, min_data.strftime('%Y-%m-%d'), max_data.strftime('%Y-%m-%d'), "", None, None, "", pd.DataFrame(), None)
 
         toggle_filters.change(
             lambda show: (
-                gr.update(visible=show), 
-                gr.update(visible=show), 
                 gr.update(visible=show),
-                gr.update(visible=show)  # Adiciona o filtro de data na visibilidade
-            ), 
-            inputs=[toggle_filters], 
+                gr.update(visible=show),
+                gr.update(visible=show),
+                gr.update(visible=show)
+            ),
+            inputs=[toggle_filters],
             outputs=[filters, area_filters, address_filters, date_filters]
         )
 
-
         search_button.click(
             unified_action,
-            inputs=[tipo_filter, bairro_filter, fonte_filter, min_atotal, max_atotal, min_apriv, max_apriv, 
+            inputs=[tipo_filter, bairro_filter, fonte_filter, min_atotal, max_atotal, min_apriv, max_apriv,
                     min_ater, max_ater, min_date, max_date, address_input, radius_input],
             outputs=[map_output, stats_output, filtered_df_output, download_output]
         )
 
         clear_button.click(
-            clear_action, 
-            outputs=[tipo_filter, bairro_filter, fonte_filter, min_atotal, max_atotal, min_apriv, max_apriv, 
-                     min_ater, max_ater, min_date, max_date, address_input, radius_input, 
+            clear_action,
+            outputs=[tipo_filter, bairro_filter, fonte_filter, min_atotal, max_atotal, min_apriv, max_apriv,
+                     min_ater, max_ater, min_date, max_date, address_input, radius_input,
                      map_output, stats_output, filtered_df_output, download_output]
         )
 
     return locals(), filtered_df_output
 
 
+
 ### implementar o KNN
 ### Arrumar a questão de que somente clicando no botão "Limpar" é possível acionar os filtros
 ### Filtro por data