Resolvendo problemas com a renderização do layout; incluindo funcionalidade para habilitar/dasabilitar as abas do dashboard através de true/false no script monitor.py; adicionando função para verificar se os arquivos de catálogo existem antes de tentar abrí-los com o intake; ajustando todas as urls para usar o dataserver do CPTEC

Author: cfbastarz

monitor.py

@@ -1,11 +1,8 @@
-#! /usr/bin/env python3
-
-import io
-import panel as pn
+import requests
 import pandas as pd
-
-#from bokeh.models import HTMLTemplateFormatter
-from bokeh.models import ColumnDataSource, HTMLTemplateFormatter
+import panel as pn
+import io
+from bokeh.models import HTMLTemplateFormatter
 
 from monitor_texts import MonitoringAppTexts
 
@@ -23,7 +20,7 @@ def LogoINPE(self):
         logo_inpe = pn.Column(
                 pn.Row(
                   pn.layout.HSpacer(),
-                  inpe_logo, 
+                  inpe_logo,
                   pn.layout.HSpacer(),
                 ))
         return logo_inpe
@@ -54,7 +51,7 @@ def LayoutSidebar(self):
         logos = pn.Column(
                 pn.Row(
                   pn.layout.HSpacer(),
-                  inpe_logo, 
+                  inpe_logo,
                   pn.layout.HSpacer(),
                 ),
                 pn.Row(
@@ -66,10 +63,22 @@ def LayoutSidebar(self):
         return pn.Column(logos)
 
     def LayoutMain(self):
-
-        self.logs = "http://ftp1.cptec.inpe.br/pesquisa/das/carlos.bastarz/SMNAMonitoringApp/logs/logs.csv"           
-        df = pd.read_csv(self.logs)
-
+        self.logs = "https://dataserver.cptec.inpe.br/dataserver_dimnt/das/carlos.bastarz/SMNAMonitoringApp/logs/logs.csv"
+
+        # --- Verifica se a URL existe antes de ler ---
+        try:
+            response = requests.head(self.logs, allow_redirects=True, timeout=5)
+            if response.status_code >= 400:
+                print(f"❌ [CURRENT STATUS] Logs não encontrados: {self.logs} (status {response.status_code})")
+                df = pd.DataFrame()  # cria um DataFrame vazio
+            else:
+                print(f"✅ [CURRENT STATUS] Logs acessíveis: {self.logs}")
+                df = pd.read_csv(self.logs)
+        except requests.RequestException as e:
+            print(f"⚠️ [CURRENT STATUS] Erro ao acessar {self.logs}: {e}")
+            df = pd.DataFrame()  # cria um DataFrame vazio
+
+        # --- Configuração do Tabulator ---
         link_formatters = {
             "Action GSI": HTMLTemplateFormatter(template="<code><%= value %></code>"),
             "Action PRE": HTMLTemplateFormatter(template="<code><%= value %></code>"),
@@ -83,46 +92,39 @@ def LayoutMain(self):
         }
         """
 
-        cs_table = pn.widgets.Tabulator(df, 
-                #selectable=False,
+        cs_table = pn.widgets.Tabulator(df,
                 show_index=False,
                 disabled=True,
-                #layout='fit_data_table',
                 theme="bootstrap4",
-                #frozen_rows=[-2, -1],
                 text_align='center',
                 selectable='toggle',
                 stylesheets=[stylesheet],
                 formatters=link_formatters)
 
         def get_csv():
-          io_buffer = io.BytesIO()
-          df.to_csv(io_buffer, index=False)
-          io_buffer.seek(0)  # Retorna ao início do buffer
-          return io_buffer
+            io_buffer = io.BytesIO()
+            df.to_csv(io_buffer, index=False)
+            io_buffer.seek(0)
+            return io_buffer
 
         file_download = pn.widgets.FileDownload(
           icon='download',
-          callback=get_csv, 
+          callback=get_csv,
           filename='current_status.csv',
           button_type='success',
           width=310
         )
 
         welcomeText1 = pn.pane.Markdown("""
         # Current Status
-        
         Check the current status from the operational system in the table below.
         """)
 
         welcomeText2 = pn.pane.Markdown("""
         **Legend:**
-
         * **A** = Awaiting
         * **C** = Completed
         * **P** = Processing
         """)
 
-        #placeholder = pn.Column('####################', height=1300)
-
         return pn.Column(welcomeText1, cs_table, file_download, welcomeText2, monitor_warning_bottom_main, sizing_mode='stretch_width')

monitor_anl.py

@@ -15,8 +15,8 @@ def openFile(self, log):
         return decoded_line
 
     def getDates(self):
-        sdate = "http://ftp1.cptec.inpe.br/pesquisa/das/carlos.bastarz/SMNAMonitoringApp/aweekbefore.txt"
-        edate = "http://ftp1.cptec.inpe.br/pesquisa/das/carlos.bastarz/SMNAMonitoringApp/todaym1H.txt"
+        sdate = "https://dataserver.cptec.inpe.br/dataserver_dimnt/das/carlos.bastarz/SMNAMonitoringApp/aweekbefore.txt"
+        edate = "https://dataserver.cptec.inpe.br/dataserver_dimnt/das/carlos.bastarz/SMNAMonitoringApp/todaym1H.txt"
 
         start_date = self.openFile(sdate)
         end_date = self.openFile(edate)

monitor_armobs.py

@@ -41,9 +41,9 @@
 pn.extension('floatpanel')
 pn.extension(sizing_mode='stretch_width', notifications=True)
 
-#dfs = pd.read_csv('http://ftp1.cptec.inpe.br/pesquisa/das/carlos.bastarz/SMNAMonitoringApp/jo/jo_table_series.csv', header=[0, 1], parse_dates=[('df_preOper', 'Date'), ('df_preOper_new', 'Date'), ('df_JGerd', 'Date')])
-#dfs = pd.read_csv('http://ftp1.cptec.inpe.br/pesquisa/das/carlos.bastarz/SMNAMonitoringApp/jo/jo_table_series.csv', header=[0, 1], parse_dates=[('df_preOper', 'Date'), ('df_JGerd', 'Date')])
-dfs = pd.read_csv('http://ftp1.cptec.inpe.br/pesquisa/das/carlos.bastarz/SMNAMonitoringApp/jo/jo_table_series.csv', header=[0, 1], parse_dates=[('df_preOper', 'Date')])
+#dfs = pd.read_csv('https://dataserver.cptec.inpe.br/dataserver_dimnt/das/carlos.bastarz/SMNAMonitoringApp/jo/jo_table_series.csv', header=[0, 1], parse_dates=[('df_preOper', 'Date'), ('df_preOper_new', 'Date'), ('df_JGerd', 'Date')])
+#dfs = pd.read_csv('https://dataserver.cptec.inpe.br/dataserver_dimnt/das/carlos.bastarz/SMNAMonitoringApp/jo/jo_table_series.csv', header=[0, 1], parse_dates=[('df_preOper', 'Date'), ('df_JGerd', 'Date')])
+dfs = pd.read_csv('https://dataserver.cptec.inpe.br/dataserver_dimnt/das/carlos.bastarz/SMNAMonitoringApp/jo/jo_table_series.csv', header=[0, 1], parse_dates=[('df_preOper', 'Date')])
 
 # Separa os dataframes de interesse
 df_preOper = dfs.df_preOper

monitor_berror.py

@@ -76,10 +76,10 @@ def showLogs(date):
     datepfct = calcDate(date, int(264))
 
     logs = {
-        "GSI": f"http://ftp1.cptec.inpe.br/pesquisa/das/carlos.bastarz/SMNAMonitoringApp/logs/gsi/gsi_{date}.log",
-        "MODEL": f"http://ftp1.cptec.inpe.br/pesquisa/das/carlos.bastarz/SMNAMonitoringApp/logs/model/model_{date}.{datemfct}.log",
-        "POS": f"http://ftp1.cptec.inpe.br/pesquisa/das/carlos.bastarz/SMNAMonitoringApp/logs/pos/pos_{date}.{datepfct}.log",
-        "PRE": f"http://ftp1.cptec.inpe.br/pesquisa/das/carlos.bastarz/SMNAMonitoringApp/logs/pre/pre_{date}.log"
+        "GSI": f"https://dataserver.cptec.inpe.br/dataserver_dimnt/das/carlos.bastarz/SMNAMonitoringApp/logs/gsi/gsi_{date}.log",
+        "MODEL": f"https://dataserver.cptec.inpe.br/dataserver_dimnt/das/carlos.bastarz/SMNAMonitoringApp/logs/model/model_{date}.{datemfct}.log",
+        "POS": f"https://dataserver.cptec.inpe.br/dataserver_dimnt/das/carlos.bastarz/SMNAMonitoringApp/logs/pos/pos_{date}.{datepfct}.log",
+        "PRE": f"https://dataserver.cptec.inpe.br/dataserver_dimnt/das/carlos.bastarz/SMNAMonitoringApp/logs/pre/pre_{date}.log"
     }
 
     tabs = []
@@ -118,4 +118,4 @@ def showLogs(date):
 
 def LayoutSidebar():
     card_parameters = pn.Card(pn.Row(date, pn.widgets.TooltipIcon(value='Choose a date', align='start')), title='Parameters', collapsed=False)
-    return pn.Column(card_parameters)
+    return pn.Column(card_parameters)