def get_ip_details_in_specific_range(request, subscriber): # @UndefinedVariable
ip_address = request.GET.get('ip_address')
start_date = request.GET.get('date_from')
end_date = request.GET.get('date_to')
ip_details = IpDetails.objects.filter(ip_address=ip_address)
ip_address = ip_details[0].id
actual_start_date, actual_end_date = _get_date_from_timestamp_inner(request, start_date, end_date)
start_date, end_date = convert_date_specific_to_timezone(subscriber.timezone,
actual_start_date,
actual_end_date)
diff = end_date - start_date
show_time = True if diff.days < 3 else False
hourly_message = hourly_date_available_message_display(start_date)
ip_line_graph_date = [] # Name of list to represent X axis for the Line graph in Detailed IP information
ip_line_graph_hits = [] # Name of list to represent Y axis for the Line graph in Detailed IP information
line_graph_ip_object = IpAnalysis.objects.filter(sid = subscriber,
ipaddress = ip_address,
dt__range = [start_date, end_date])
for ips in line_graph_ip_object:
conv_date = str(ips.dt)
totalrequests = json.dumps(ips.totalrequests)
ip_line_graph_date.append(conv_date)
ip_line_graph_hits.append(totalrequests)
ip_line_graph_date = convert_tz_tailored_dates_in_list_to_displayable_date(subscriber.timezone, ip_line_graph_date)
ip_line_graph_date, ip_line_graph_hits = optimize_data_based_on_number_of_days(ip_line_graph_date, ip_line_graph_hits, show_time)
single_hour_data = True if len(ip_line_graph_date) == 1 else False #Checks for entries for a single hour in single day
data = {'ip_line_graph_date' : ip_line_graph_date,
'ip_line_graph_hits' : ip_line_graph_hits,
'single_hour_data' : single_hour_data,
'hourly_message' : hourly_message}
return HttpResponse(json.dumps(data), mimetype='application/json')
def get_base_results_for_traffic_analysis(request, subscriber):
start_date_utc = request.GET.get('start_date')
end_date_utc = request.GET.get('end_date')
start_date, end_date = _get_date_from_timestamp(request, start_date_utc, end_date_utc)
start_date, end_date = convert_date_specific_to_timezone(subscriber.timezone, start_date, end_date)
diff = end_date - start_date
show_time = False if diff.days > 0 else True
return complete_traffic_analysis(subscriber, start_date, end_date), show_time, start_date, end_date
def get_base_results_for_traffic_analysis(request, subscriber):
start_date_utc = request.GET.get('start_date')
end_date_utc = request.GET.get('end_date')
start_date, end_date = _get_date_from_timestamp(request, start_date_utc,
end_date_utc)
start_date, end_date = convert_date_specific_to_timezone(
subscriber.timezone, start_date, end_date)
diff = end_date - start_date
show_time = False if diff.days > 0 else True
return complete_traffic_analysis(subscriber, start_date,
end_date), show_time, start_date, end_date
def get_base_results_for_user_analysis_excel(request, subscriber):
start_date_utc = request.GET.get('date_from')
end_date_utc = request.GET.get('date_to')
start_date, end_date = _get_date_from_timestamp(request, start_date_utc, end_date_utc)
search_user_id = None
start_date, end_date = convert_date_specific_to_timezone(subscriber.timezone, start_date, end_date)
user_analysis_data, query = get_user_analysis_details(subscriber,
search_user_id,
start_date,
end_date)
x, y, paginator = pagination_for_user_analysis_page(user_analysis_data, query, 1)#x, y parameters are dummy and not intented to use anywhere
paginator = flattening_results_of_paginated_objects(paginator.object_list, query)
result = {'user_ip_analysis': paginator, }
return result
def list_user_analysis_details(request, subscriber):
page_no = request.GET.get('page', 1)
start_date_utc = request.GET.get('date_from')
end_date_utc = request.GET.get('date_to')
start_date, end_date = _get_date_from_timestamp(request, start_date_utc,
end_date_utc)
form = UserAnalysisSearchForm(request.GET)
search_user_id = None
if form.is_valid():
search_user_id = form.cleaned_data['user_id'].strip()
start_date, end_date = convert_date_specific_to_timezone(
subscriber.timezone, start_date, end_date)
# Call service layer to fetch the details
data, query = get_user_analysis_details(subscriber, search_user_id,
start_date, end_date)
user_analysis_details_table, user_analysis_details, z = pagination_for_user_analysis_page(
data, query, page_no)
search = False
if any([search_user_id]):
search = True
can_edit = any(is_admin(request.user))
is_monitor = is_monitor_mode(subscriber, request.user)
is_demo_user = is_demo_user_account(request.user)
authorized_page_list = get_authorized_pages(subscriber)
return render(
request, 'user_analysis.html', {
'user_analysis_details_table': user_analysis_details_table,
'search_form': form,
'user_analysis_details': user_analysis_details,
'can_edit': can_edit,
'is_demo_user': is_demo_user,
'is_monitor': is_monitor,
'search': search,
'auth_pages': authorized_page_list
})
def get_base_results_for_aggregator_analysis_excel(request, subscriber):
"""
This function accepts the "Start Date" and "End Date" and returns the corresponding Aggreggator analysis values
which is then send to excel_view_aggregator_ip_analysis for excel sheet value population.
"""
start_date_utc = request.GET.get('date_from')
end_date_utc = request.GET.get('date_to')
start_date, end_date = _get_date_from_timestamp(request, start_date_utc, end_date_utc)
search_ip_address = None
search_aggregator_name = None
start_date, end_date = convert_date_specific_to_timezone(subscriber.timezone, start_date, end_date)
aggregator_ip_analysis_data = get_aggregator_analysis_details(subscriber,
search_ip_address,
search_aggregator_name,
start_date,
end_date)
result = {'aggregator_ip_analysis': aggregator_ip_analysis_data, }
return result
def get_ip_details_in_specific_range(request,
subscriber): # @UndefinedVariable
ip_address = request.GET.get('ip_address')
start_date = request.GET.get('date_from')
end_date = request.GET.get('date_to')
ip_details = IpDetails.objects.filter(ip_address=ip_address)
ip_address = ip_details[0].id
actual_start_date, actual_end_date = _get_date_from_timestamp_inner(
request, start_date, end_date)
start_date, end_date = convert_date_specific_to_timezone(
subscriber.timezone, actual_start_date, actual_end_date)
diff = end_date - start_date
show_time = True if diff.days < 3 else False
hourly_message = hourly_date_available_message_display(start_date)
ip_line_graph_date = [
] # Name of list to represent X axis for the Line graph in Detailed IP information
ip_line_graph_hits = [
] # Name of list to represent Y axis for the Line graph in Detailed IP information
line_graph_ip_object = IpAnalysis.objects.filter(
sid=subscriber, ipaddress=ip_address, dt__range=[start_date, end_date])
for ips in line_graph_ip_object:
conv_date = str(ips.dt)
totalrequests = json.dumps(ips.totalrequests)
ip_line_graph_date.append(conv_date)
ip_line_graph_hits.append(totalrequests)
ip_line_graph_date = convert_tz_tailored_dates_in_list_to_displayable_date(
subscriber.timezone, ip_line_graph_date)
ip_line_graph_date, ip_line_graph_hits = optimize_data_based_on_number_of_days(
ip_line_graph_date, ip_line_graph_hits, show_time)
single_hour_data = True if len(
ip_line_graph_date
) == 1 else False #Checks for entries for a single hour in single day
data = {
'ip_line_graph_date': ip_line_graph_date,
'ip_line_graph_hits': ip_line_graph_hits,
'single_hour_data': single_hour_data,
'hourly_message': hourly_message
}
return HttpResponse(json.dumps(data), mimetype='application/json')
def list_user_analysis_details(request, subscriber):
page_no = request.GET.get('page', 1)
start_date_utc = request.GET.get('date_from')
end_date_utc = request.GET.get('date_to')
start_date, end_date = _get_date_from_timestamp(request, start_date_utc, end_date_utc)
form = UserAnalysisSearchForm(request.GET)
search_user_id = None
if form.is_valid():
search_user_id = form.cleaned_data['user_id'].strip()
start_date, end_date = convert_date_specific_to_timezone(subscriber.timezone, start_date, end_date)
# Call service layer to fetch the details
data, query = get_user_analysis_details(subscriber, search_user_id, start_date, end_date)
user_analysis_details_table, user_analysis_details, z = pagination_for_user_analysis_page(data, query, page_no)
search = False
if any([search_user_id]):
search = True
can_edit = any(is_admin(request.user))
is_monitor = is_monitor_mode(subscriber,request.user)
is_demo_user = is_demo_user_account(request.user)
authorized_page_list = get_authorized_pages(subscriber)
return render(request,
'user_analysis.html',
{'user_analysis_details_table' : user_analysis_details_table,
'search_form' : form,
'user_analysis_details' : user_analysis_details,
'can_edit' : can_edit,
'is_demo_user' : is_demo_user,
'is_monitor' : is_monitor,
'search' : search,
'auth_pages' : authorized_page_list
})
def get_base_results_for_user_analysis_excel(request, subscriber):
start_date_utc = request.GET.get('date_from')
end_date_utc = request.GET.get('date_to')
start_date, end_date = _get_date_from_timestamp(request, start_date_utc,
end_date_utc)
search_user_id = None
start_date, end_date = convert_date_specific_to_timezone(
subscriber.timezone, start_date, end_date)
user_analysis_data, query = get_user_analysis_details(
subscriber, search_user_id, start_date, end_date)
x, y, paginator = pagination_for_user_analysis_page(
user_analysis_data, query,
1) #x, y parameters are dummy and not intented to use anywhere
paginator = flattening_results_of_paginated_objects(
paginator.object_list, query)
result = {
'user_ip_analysis': paginator,
}
return result
def get_base_results_for_ip_analysis_excel(request, subscriber):
start_date_utc = request.GET.get('date_from')
end_date_utc = request.GET.get('date_to')
start_date, end_date = _get_date_from_timestamp(request, start_date_utc,
end_date_utc)
search_ip_address = None
search_country_name = None
search_isp = None
search_city_name = None
search_status = None
start_date, end_date = convert_date_specific_to_timezone(
subscriber.timezone, start_date, end_date)
# Call service layer to fetch the details
data = ip_analysis_details_service.get_ip_analysis_details(
subscriber, search_ip_address, search_country_name, search_isp,
search_city_name, search_status, start_date, end_date)
result = {
'ip_analysis': data,
}
return result
def get_base_results_for_ip_analysis_excel(request, subscriber):
start_date_utc = request.GET.get('date_from')
end_date_utc = request.GET.get('date_to')
start_date, end_date = _get_date_from_timestamp(request, start_date_utc, end_date_utc)
search_ip_address = None
search_country_name = None
search_isp = None
search_city_name = None
search_status = None
start_date, end_date = convert_date_specific_to_timezone(subscriber.timezone, start_date, end_date)
# Call service layer to fetch the details
data = ip_analysis_details_service.get_ip_analysis_details(subscriber,
search_ip_address,
search_country_name,
search_isp,
search_city_name,
search_status,
start_date,
end_date)
result = {'ip_analysis': data, }
return result
def list_aggregator_analysis_details(request, subscriber):
"""
This Function is responsible to provide Aggregator list details for the landing page of Aggregator IP Analysis
"""
page_no = request.GET.get('page', 1)
start_date_utc = request.GET.get('date_from')
end_date_utc = request.GET.get('date_to')
start_date, end_date = _get_date_from_timestamp(request, start_date_utc,
end_date_utc)
form = AggregatorAnalysisSearchForm(request.GET)
search_ip_address = None
search_aggregator_name = None
if form.is_valid():
search_ip_address = form.cleaned_data['ip_address'].strip()
search_aggregator_name = form.cleaned_data['aggregator_name'].strip()
start_date, end_date = convert_date_specific_to_timezone(
subscriber.timezone, start_date, end_date)
# Call service layer to fetch the details
data = get_aggregator_analysis_details(subscriber, search_ip_address,
search_aggregator_name, start_date,
end_date)
paginator = Paginator(data, 15)
aggregator_analysis_details = None
try:
aggregator_analysis_details = paginator.page(page_no)
except PageNotAnInteger:
aggregator_analysis_details = paginator.page(page_no)
except EmptyPage:
aggregator_analysis_details = paginator.page(paginator.num_pages)
aggregator_analysis_details_table = [] # List of dicts for HTML rendering
for aggregator_analysis_detail in aggregator_analysis_details:
ip_address = AggregatorDetails.objects.get(
pk=aggregator_analysis_detail['ip_address'])
aggregator_analysis_details_dict = {
'id': 0,
'ip_address': ip_address.ip_address,
'aggregator_name': ip_address.aggregator_name,
'bot_hits': aggregator_analysis_detail['total_requests']
}
aggregator_analysis_details_table.append(
aggregator_analysis_details_dict)
search = False
if any([search_ip_address, search_aggregator_name]):
search = True
can_edit = any(is_admin(request.user))
is_monitor = is_monitor_mode(subscriber, request.user)
is_demo_user = is_demo_user_account(request.user)
authorized_page_list = get_authorized_pages(subscriber)
return render(
request, 'aggregator_analysis.html', {
'search_from': form,
'aggregator_analysis_details': aggregator_analysis_details,
'aggregator_analysis_details_table':
aggregator_analysis_details_table,
'can_edit': can_edit,
'is_demo_user': is_demo_user,
'is_monitor': is_monitor,
'search': search,
'auth_pages': authorized_page_list
})
def list_ip_analysis_details(request, subscriber): # @UndefinedVariable
page_no = request.GET.get('page', 1)
start_date_utc = request.GET.get('date_from')
end_date_utc = request.GET.get('date_to')
start_date, end_date = _get_date_from_timestamp(request, start_date_utc, end_date_utc)
form = IpAnalysisSearchForm(request.GET)
search_ip_address = None
search_country_name = None
search_isp = None
search_city_name = None
if form.is_valid():
search_ip_address = form.cleaned_data['ip_address'].strip()
search_country_name = form.cleaned_data['country_name'].strip()
search_isp = form.cleaned_data['isp'].strip()
search_city_name = form.cleaned_data['city_name'].strip()
search_status = form.cleaned_data['status'].strip()
start_date, end_date = convert_date_specific_to_timezone(subscriber.timezone, start_date, end_date)
diff = end_date - start_date
show_time = True if diff.days < 3 else False
# Call service layer to fetch the details
data = ip_analysis_details_service.get_ip_analysis_details(subscriber,
search_ip_address,
search_country_name,
search_isp,
search_city_name,
search_status,
start_date,
end_date)
paginator = Paginator(data, 15)
ip_analysis_details = None
try:
ip_analysis_details = paginator.page(page_no)
except PageNotAnInteger:
ip_analysis_details = paginator.page(page_no)
except EmptyPage:
ip_analysis_details = paginator.page(paginator.num_pages)
ip_analysis_details_table = [] # List of dicts for HTML rendering
for ip_analysis_detail in ip_analysis_details:
ipaddress = IpDetails.objects.get(pk = ip_analysis_detail['ipaddress'])
ip_action_form, ip_line_graph_date, ip_line_graph_hits, ip_action, expiry_date, hourly_message = individual_ip_address_details(subscriber,
ipaddress.id,
start_date,
end_date,
show_time)
ip_address_status = ip_address_clean_or_malicious(ipaddress, subscriber)
single_hour_data = True if len(ip_line_graph_date) == 1 else False #Checks for entries for a single hour in single day
ip_analysis_details_dict = { 'id' : 0,
'ip_address' : ipaddress.ip_address,
'country_name' : ipaddress.country_name,
'isp' : ipaddress.isp,
'ip_action_form' : ip_action_form,
'ip_action' : ip_action,
'expiry_date' : expiry_date,
'city_name' : ipaddress.city_name,
'bot_hits' : ip_analysis_detail['totalrequests'],
'ip_line_graph_date' : ip_line_graph_date,
'ip_line_graph_hits' : ip_line_graph_hits,
'single_hour_data' : single_hour_data,
'ip_address_status' : ip_address_status,
'bad_bot_traffic_details' : get_bad_bot_traffic_details(ip_analysis_detail)
}
ip_analysis_details_table.append(ip_analysis_details_dict)
search = False
if any([search_ip_address, search_country_name, search_isp, search_city_name, search_status]):
search = True
can_edit = any(is_admin(request.user))
is_monitor = is_monitor_mode(subscriber,request.user)
is_demo_user = is_demo_user_account(request.user)
authorized_page_list = get_authorized_pages(subscriber)
return render(request,
'ip_analysis.html',
{'ip_analysis_details_table' : ip_analysis_details_table,
'search_from' : form,
'ip_analysis_details' : ip_analysis_details,
'can_edit' : can_edit,
'is_demo_user' : is_demo_user,
'is_monitor' : is_monitor,
'search' : search,
'auth_pages' : authorized_page_list
})
def list_ip_analysis_details(request, subscriber): # @UndefinedVariable
page_no = request.GET.get('page', 1)
start_date_utc = request.GET.get('date_from')
end_date_utc = request.GET.get('date_to')
start_date, end_date = _get_date_from_timestamp(request, start_date_utc,
end_date_utc)
form = IpAnalysisSearchForm(request.GET)
search_ip_address = None
search_country_name = None
search_isp = None
search_city_name = None
if form.is_valid():
search_ip_address = form.cleaned_data['ip_address'].strip()
search_country_name = form.cleaned_data['country_name'].strip()
search_isp = form.cleaned_data['isp'].strip()
search_city_name = form.cleaned_data['city_name'].strip()
search_status = form.cleaned_data['status'].strip()
start_date, end_date = convert_date_specific_to_timezone(
subscriber.timezone, start_date, end_date)
diff = end_date - start_date
show_time = True if diff.days < 3 else False
# Call service layer to fetch the details
data = ip_analysis_details_service.get_ip_analysis_details(
subscriber, search_ip_address, search_country_name, search_isp,
search_city_name, search_status, start_date, end_date)
paginator = Paginator(data, 15)
ip_analysis_details = None
try:
ip_analysis_details = paginator.page(page_no)
except PageNotAnInteger:
ip_analysis_details = paginator.page(page_no)
except EmptyPage:
ip_analysis_details = paginator.page(paginator.num_pages)
ip_analysis_details_table = [] # List of dicts for HTML rendering
for ip_analysis_detail in ip_analysis_details:
ipaddress = IpDetails.objects.get(pk=ip_analysis_detail['ipaddress'])
ip_action_form, ip_line_graph_date, ip_line_graph_hits, ip_action, expiry_date, hourly_message = individual_ip_address_details(
subscriber, ipaddress.id, start_date, end_date, show_time)
ip_address_status = ip_address_clean_or_malicious(
ipaddress, subscriber)
single_hour_data = True if len(
ip_line_graph_date
) == 1 else False #Checks for entries for a single hour in single day
ip_analysis_details_dict = {
'id':
0,
'ip_address':
ipaddress.ip_address,
'country_name':
ipaddress.country_name,
'isp':
ipaddress.isp,
'ip_action_form':
ip_action_form,
'ip_action':
ip_action,
'expiry_date':
expiry_date,
'city_name':
ipaddress.city_name,
'bot_hits':
ip_analysis_detail['totalrequests'],
'ip_line_graph_date':
ip_line_graph_date,
'ip_line_graph_hits':
ip_line_graph_hits,
'single_hour_data':
single_hour_data,
'ip_address_status':
ip_address_status,
'bad_bot_traffic_details':
get_bad_bot_traffic_details(ip_analysis_detail)
}
ip_analysis_details_table.append(ip_analysis_details_dict)
search = False
if any([
search_ip_address, search_country_name, search_isp,
search_city_name, search_status
]):
search = True
can_edit = any(is_admin(request.user))
is_monitor = is_monitor_mode(subscriber, request.user)
is_demo_user = is_demo_user_account(request.user)
authorized_page_list = get_authorized_pages(subscriber)
return render(
request, 'ip_analysis.html', {
'ip_analysis_details_table': ip_analysis_details_table,
'search_from': form,
'ip_analysis_details': ip_analysis_details,
'can_edit': can_edit,
'is_demo_user': is_demo_user,
'is_monitor': is_monitor,
'search': search,
'auth_pages': authorized_page_list
})
def list_aggregator_analysis_details(request, subscriber):
"""
This Function is responsible to provide Aggregator list details for the landing page of Aggregator IP Analysis
"""
page_no = request.GET.get('page', 1)
start_date_utc = request.GET.get('date_from')
end_date_utc = request.GET.get('date_to')
start_date, end_date = _get_date_from_timestamp(request, start_date_utc, end_date_utc)
form = AggregatorAnalysisSearchForm(request.GET)
search_ip_address = None
search_aggregator_name = None
if form.is_valid():
search_ip_address = form.cleaned_data['ip_address'].strip()
search_aggregator_name = form.cleaned_data['aggregator_name'].strip()
start_date, end_date = convert_date_specific_to_timezone(subscriber.timezone, start_date, end_date)
# Call service layer to fetch the details
data = get_aggregator_analysis_details(subscriber,
search_ip_address,
search_aggregator_name,
start_date,
end_date)
paginator = Paginator(data, 15)
aggregator_analysis_details = None
try:
aggregator_analysis_details = paginator.page(page_no)
except PageNotAnInteger:
aggregator_analysis_details = paginator.page(page_no)
except EmptyPage:
aggregator_analysis_details = paginator.page(paginator.num_pages)
aggregator_analysis_details_table = [] # List of dicts for HTML rendering
for aggregator_analysis_detail in aggregator_analysis_details:
ip_address = AggregatorDetails.objects.get(pk = aggregator_analysis_detail['ip_address'])
aggregator_analysis_details_dict = {'id' : 0,
'ip_address' : ip_address.ip_address,
'aggregator_name' : ip_address.aggregator_name,
'bot_hits' : aggregator_analysis_detail['total_requests']}
aggregator_analysis_details_table.append(aggregator_analysis_details_dict)
search = False
if any([search_ip_address, search_aggregator_name]):
search = True
can_edit = any(is_admin(request.user))
is_monitor = is_monitor_mode(subscriber,request.user)
is_demo_user = is_demo_user_account(request.user)
authorized_page_list = get_authorized_pages(subscriber)
return render(request,
'aggregator_analysis.html',
{'search_from' : form,
'aggregator_analysis_details' : aggregator_analysis_details,
'aggregator_analysis_details_table': aggregator_analysis_details_table,
'can_edit' : can_edit,
'is_demo_user' : is_demo_user,
'is_monitor' : is_monitor,
'search' : search,
'auth_pages' : authorized_page_list
})
