def home(request):
job_bytes = Job.get_bytes_from_last_jobs()
grafico_backup_dados = {
'title': u"Quantidade de dados realizados backup", 'width': "100%",
'type': "bar",
'cid': "chart1",
'header': [d.strftime("%d/%m/%y") for d in sorted(job_bytes)],
'labels': [utils.filesizeformat(v) for k, v in sorted(job_bytes.items())],
'lines': {
"Dados": utils.ordered_dict_value_to_formatted_float(job_bytes)
}
}
job_files = Job.get_files_from_last_jobs()
grafico_backup_arquivos = {
'title': u"Quantidade de arquivos realizados backup", 'width': "100%",
'type': "bar",
'cid': "chart2",
'header': [d.strftime("%d/%m/%y") for d in sorted(job_files)],
'labels': [int(v) for k, v in sorted(job_files.items())],
'lines': {
"Arquivos": [int(v) for k, v in sorted(job_files.items())]
}
}
graphics = Graphics()
blocks = graphics.render_blocks()
memory = systeminfo.get_memory_usage()
memory_free = 100 - memory
grafico_uso_memoria = {'title': u"Uso da memória", 'width': "90%", 'type': "pie", 'cid': "chart4", 'header': ["Gigabytes"],
'lines': {
"Disponível": [memory_free],
"Ocupado": [memory]}}
cpu = systeminfo.get_cpu_usage()
cpu_free = 100 - memory
grafico_uso_cpu = {'title': u"Uso da CPU", 'width': "", "type": "pie", 'cid': "chart5", 'header': ["Clocks"], 'lines': {
"Disponível": [cpu_free],
"Ocupado": [cpu]}}
# Dados de content:
# - type
# - label
# - date
# - message
last_jobs = Procedure.all_non_self_jobs()[:5]
return render_to_response(request, "home.html", locals())
def home(request):
job_bytes = Job.get_bytes_from_last_jobs()
table1 = {
'title': u"Quantidade de dados realizados backup",
'width': "100%",
'type': "bar",
'cid': "chart1",
'header': [d.strftime("%d/%m/%y") for d in sorted(job_bytes)],
'labels':
[utils.filesizeformat(v) for k, v in sorted(job_bytes.items())],
'lines': {
"Dados": utils.ordered_dict_value_to_formatted_float(job_bytes)
}
}
job_files = Job.get_files_from_last_jobs()
table2 = {
'title': u"Quantidade de arquivos realizados backup",
'width': "100%",
'type': "bar",
'cid': "chart2",
'header': [d.strftime("%d/%m/%y") for d in sorted(job_files)],
'labels': [int(v) for k, v in sorted(job_files.items())],
'lines': {
"Arquivos": [int(v) for k, v in sorted(job_files.items())]
}
}
graphsdata.update_disk_graph()
graph_data_manager = graphsdata.GraphDataManager()
diskdata = graph_data_manager.list_disk_measures()
table3 = {
'title': u"Ocupação do disco (GB)",
'width': "",
'type': "area",
'cid': "chart3",
'height': "200",
'header': [i[0] for i in diskdata],
'labels': [utils.filesizeformat(i[1], "GB") for i in diskdata]
}
#table3['header'] = ["Gigabytes"]
#setando valor padrao
t3data = [utils.filesizeformat(i[1], "GB")
for i in diskdata] if len(diskdata) else [0.0]
table3['lines'] = {"Disponível": t3data}
memory = systeminfo.get_memory_usage()
memory_free = 100 - memory
table4 = {
'title': u"Uso da memória",
'width': "90%",
'type': "pie",
'cid': "chart4",
'header': ["Gigabytes"],
'lines': {
"Disponível": [memory_free],
"Ocupado": [memory]
}
}
cpu = systeminfo.get_cpu_usage()
cpu_free = 100 - memory
table5 = {
'title': u"Uso da CPU",
'width': "",
"type": "pie",
'cid': "chart5",
'header': ["Clocks"],
'lines': {
"Disponível": [cpu_free],
"Ocupado": [cpu]
}
}
# Dados de content:
# - type
# - label
# - date
# - message
last_jobs = Procedure.all_non_self_jobs()[:5]
return render_to_response(request, "home.html", locals())
def home(request):
job_bytes = Job.get_bytes_from_last_jobs()
table1 = {
"title": u"Quantidade de dados realizados backup",
"width": "100%",
"type": "bar",
"cid": "chart1",
"header": [d.strftime("%d/%m/%y") for d in sorted(job_bytes)],
"labels": [utils.filesizeformat(v) for k, v in sorted(job_bytes.items())],
"lines": {"Dados": utils.ordered_dict_value_to_formatted_float(job_bytes)},
}
job_files = Job.get_files_from_last_jobs()
table2 = {
"title": u"Quantidade de arquivos realizados backup",
"width": "100%",
"type": "bar",
"cid": "chart2",
"header": [d.strftime("%d/%m/%y") for d in sorted(job_files)],
"labels": [int(v) for k, v in sorted(job_files.items())],
"lines": {"Arquivos": [int(v) for k, v in sorted(job_files.items())]},
}
graphsdata.update_disk_graph()
graph_data_manager = graphsdata.GraphDataManager()
diskdata = graph_data_manager.list_disk_measures()
table3 = {
"title": u"Ocupação do disco (GB)",
"width": "",
"type": "area",
"cid": "chart3",
"height": "200",
"header": [i[0] for i in diskdata],
"labels": [utils.filesizeformat(i[1], "GB") for i in diskdata],
}
# table3['header'] = ["Gigabytes"]
# setando valor padrao
t3data = [utils.filesizeformat(i[1], "GB") for i in diskdata] if len(diskdata) else [0.0]
table3["lines"] = {"Disponível": t3data}
memory = systeminfo.get_memory_usage()
memory_free = 100 - memory
table4 = {
"title": u"Uso da memória",
"width": "90%",
"type": "pie",
"cid": "chart4",
"header": ["Gigabytes"],
"lines": {"Disponível": [memory_free], "Ocupado": [memory]},
}
cpu = systeminfo.get_cpu_usage()
cpu_free = 100 - memory
table5 = {
"title": u"Uso da CPU",
"width": "",
"type": "pie",
"cid": "chart5",
"header": ["Clocks"],
"lines": {"Disponível": [cpu_free], "Ocupado": [cpu]},
}
# Dados de content:
# - type
# - label
# - date
# - message
last_jobs = Procedure.all_non_self_jobs()[:5]
return render_to_response(request, "home.html", locals())