本文整理汇总了Python中lib.cuckoo.core.database.Database.count_samples方法的典型用法代码示例。如果您正苦于以下问题：Python Database.count_samples方法的具体用法？Python Database.count_samples怎么用？Python Database.count_samples使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类lib.cuckoo.core.database.Database的用法示例。
在下文中一共展示了Database.count_samples方法的4个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: index
# 需要导入模块: from lib.cuckoo.core.database import Database [as 别名]
# 或者: from lib.cuckoo.core.database.Database import count_samples [as 别名]
def index(request):
db = Database()
report = dict(
total_samples=db.count_samples(),
total_tasks=db.count_tasks(),
states_count={},
estimate_hour=None,
estimate_day=None
)
states = (
TASK_PENDING,
TASK_RUNNING,
TASK_COMPLETED,
TASK_RECOVERED,
TASK_REPORTED,
TASK_FAILED_ANALYSIS,
TASK_FAILED_PROCESSING,
TASK_FAILED_REPORTING
)
for state in states:
report["states_count"][state] = db.count_tasks(state)
offset = None
# For the following stats we're only interested in completed tasks.
tasks = db.list_tasks(offset=offset, status=TASK_COMPLETED)
tasks += db.list_tasks(offset=offset, status=TASK_REPORTED)
if tasks:
tasksubset = [x for x in tasks if timestamp(x.started_on) >= timestamp(datetime.datetime.today() - timedelta(days=30))]
# Get the time when the first task started.
started = min(timestamp(task.started_on) for task in tasksubset)
# Get the time when the last task completed.
completed = max(timestamp(task.completed_on) for task in tasksubset)
# Get the amount of tasks that actually completed.
finished = len(tasksubset)
# It has happened that for unknown reasons completed and started were
# equal in which case an exception is thrown, avoid this.
if int(completed - started):
hourly = 60 * 60 * finished / (completed - started)
else:
hourly = 0
report["estimate_hour"] = int(hourly)
report["estimate_day"] = int(24 * hourly)
return render_to_response("dashboard/index.html",
{"report" : report},
context_instance=RequestContext(request))示例2: index
# 需要导入模块: from lib.cuckoo.core.database import Database [as 别名]
# 或者: from lib.cuckoo.core.database.Database import count_samples [as 别名]
def index(request):
db = Database()
dbmx = DatabaseMX()
report = dict(
total_mails=dbmx.count_mails(),
total_malwares=dbmx.count_malwares(),
total_attachments=dbmx.count_attachments(),
total_urls=dbmx.count_urls(),
mails_have_malwares=dbmx.get_mails_have_malwares(),
total_samples=db.count_samples(),
total_tasks=db.count_tasks(),
states_count={},
estimate_hour=None,
estimate_day=None
)
states = (
TASK_PENDING,
TASK_RUNNING,
TASK_COMPLETED,
TASK_RECOVERED,
TASK_REPORTED,
TASK_FAILED_ANALYSIS,
TASK_FAILED_PROCESSING,
TASK_FAILED_REPORTING
)
for state in states:
report["states_count"][state] = db.count_tasks(state)
offset = None
# For the following stats we're only interested in completed tasks.
tasks = db.list_tasks(offset=offset, status=TASK_COMPLETED)
tasks += db.list_tasks(offset=offset, status=TASK_REPORTED)
if tasks:
# Get the time when the first task started.
started = min(timestamp(task.started_on) for task in tasks)
# Get the time when the last task completed.
completed = max(timestamp(task.completed_on) for task in tasks)
# Get the amount of tasks that actually completed.
finished = len(tasks)
hourly = 60 * 60 * finished / (completed - started)
report["estimate_hour"] = int(hourly)
report["estimate_day"] = int(24 * hourly)
return render_to_response("cuckoomx/index.html",
{"report" : report},
context_instance=RequestContext(request))示例3: main
# 需要导入模块: from lib.cuckoo.core.database import Database [as 别名]
# 或者: from lib.cuckoo.core.database.Database import count_samples [as 别名]
def main():
db = Database()
print("%d samples in db" % db.count_samples())
print("%d tasks in db" % db.count_tasks())
states = (
TASK_PENDING,
TASK_RUNNING,
TASK_COMPLETED,
TASK_RECOVERED,
TASK_REPORTED,
TASK_FAILED_ANALYSIS,
TASK_FAILED_PROCESSING,
TASK_FAILED_REPORTING,
)
for state in states:
print("%s %d tasks" % (state, db.count_tasks(state)))
# Later on we might be interested in only calculating stats for all
# tasks starting at a certain offset, because the Cuckoo daemon may
# have been restarted at some point in time.
offset = None
# For the following stats we're only interested in completed tasks.
tasks = db.list_tasks(offset=offset, status=TASK_COMPLETED)
tasks += db.list_tasks(offset=offset, status=TASK_REPORTED)
if tasks:
# Get the time when the first task started.
started = min(timestamp(task.started_on) for task in tasks)
# Get the time when the last task completed.
stamps = []
for task in tasks:
try:
stamps.append(timestamp(task.completed_on))
except AttributeError:
pass
completed = max(stamps)
# Get the amount of tasks that actually completed.
finished = len(tasks)
hourly = 60 * 60 * finished / (completed - started)
print("roughly %d tasks an hour" % int(hourly))
print("roughly %d tasks a day" % int(24 * hourly))示例4: index
# 需要导入模块: from lib.cuckoo.core.database import Database [as 别名]
# 或者: from lib.cuckoo.core.database.Database import count_samples [as 别名]
def index(request):
db = Database()
report = dict(
total_samples=db.count_samples(),
total_tasks=db.count_tasks(),
states_count={},
estimate_hour=None,
estimate_day=None
)
states = (
TASK_PENDING,
TASK_RUNNING,
TASK_COMPLETED,
TASK_RECOVERED,
TASK_REPORTED,
TASK_FAILED_ANALYSIS,
TASK_FAILED_PROCESSING,
TASK_FAILED_REPORTING
)
for state in states:
report["states_count"][state] = db.count_tasks(state)
offset = None
# For the following stats we're only interested in completed tasks.
tasks = db.count_tasks(status=TASK_COMPLETED)
tasks += db.count_tasks(status=TASK_REPORTED)
if tasks:
# Get the time when the first task started and last one ended.
started, completed = db.minmax_tasks()
# It has happened that for unknown reasons completed and started were
# equal in which case an exception is thrown, avoid this.
if completed and started and int(completed - started):
hourly = 60 * 60 * tasks / (completed - started)
else:
hourly = 0
report["estimate_hour"] = int(hourly)
report["estimate_day"] = int(24 * hourly)
return render(request, "dashboard/index.html", {
"report": report,
})