def response_graphs(request):
"""
Handles dashboard infomation for avg. response time split by today,
2 days ago and week ago
"""
query_params = request.GET.mixed()
query_params["resource"] = (request.context.resource.resource_id,)
filter_settings = build_filter_settings_from_query_dict(request, query_params)
if not filter_settings.get("end_date"):
end_date = datetime.utcnow().replace(microsecond=0, second=0)
filter_settings["end_date"] = end_date
delta = timedelta(hours=1)
if not filter_settings.get("start_date"):
filter_settings["start_date"] = filter_settings["end_date"] - delta
result_now = RequestMetricService.get_metrics_stats(request, filter_settings)
filter_settings_2d = filter_settings.copy()
filter_settings_2d["start_date"] = filter_settings["start_date"] - timedelta(days=2)
filter_settings_2d["end_date"] = filter_settings["end_date"] - timedelta(days=2)
result_2d = RequestMetricService.get_metrics_stats(request, filter_settings_2d)
filter_settings_7d = filter_settings.copy()
filter_settings_7d["start_date"] = filter_settings["start_date"] - timedelta(days=7)
filter_settings_7d["end_date"] = filter_settings["end_date"] - timedelta(days=7)
result_7d = RequestMetricService.get_metrics_stats(request, filter_settings_7d)
plot_data = []
for item in result_now:
point = {"x": item["x"], "today": 0, "days_ago_2": 0, "days_ago_7": 0}
if item["requests"]:
point["today"] = round(item["main"] / item["requests"], 3)
plot_data.append(point)
for i, item in enumerate(result_2d[: len(plot_data)]):
plot_data[i]["days_ago_2"] = 0
point = result_2d[i]
if point["requests"]:
plot_data[i]["days_ago_2"] = round(point["main"] / point["requests"], 3)
for i, item in enumerate(result_7d[: len(plot_data)]):
plot_data[i]["days_ago_7"] = 0
point = result_7d[i]
if point["requests"]:
plot_data[i]["days_ago_7"] = round(point["main"] / point["requests"], 3)
return plot_data
def requests_graphs(request):
"""
Handles dashboard infomation for avg. response time split by today,
2 days ago and week ago
"""
query_params = request.GET.mixed()
query_params["resource"] = (request.context.resource.resource_id,)
filter_settings = build_filter_settings_from_query_dict(request, query_params)
if not filter_settings.get("end_date"):
end_date = datetime.utcnow().replace(microsecond=0, second=0)
filter_settings["end_date"] = end_date
delta = timedelta(hours=1)
if not filter_settings.get("start_date"):
filter_settings["start_date"] = filter_settings["end_date"] - delta
result_now = RequestMetricService.get_metrics_stats(request, filter_settings)
delta = filter_settings["end_date"] - filter_settings["start_date"]
if delta < h.time_deltas.get("12h")["delta"]:
seconds = h.time_deltas["1m"]["minutes"] * 60.0
elif delta <= h.time_deltas.get("3d")["delta"]:
seconds = h.time_deltas["5m"]["minutes"] * 60.0
elif delta >= h.time_deltas.get("2w")["delta"]:
seconds = h.time_deltas["24h"]["minutes"] * 60.0
else:
seconds = h.time_deltas["1h"]["minutes"] * 60.0
for item in result_now:
if item["requests"]:
item["requests"] = round(item["requests"] / seconds, 3)
return result_now
def metrics_graphs(request):
"""
Handles metric dashboard graphs
Returns information for time/tier breakdown
"""
query_params = request.GET.mixed()
query_params["resource"] = (request.context.resource.resource_id,)
filter_settings = build_filter_settings_from_query_dict(request, query_params)
if not filter_settings.get("end_date"):
end_date = datetime.utcnow().replace(microsecond=0, second=0)
filter_settings["end_date"] = end_date
delta = timedelta(hours=1)
if not filter_settings.get("start_date"):
filter_settings["start_date"] = filter_settings["end_date"] - delta
if filter_settings["end_date"] <= filter_settings["start_date"]:
filter_settings["end_date"] = filter_settings["start_date"]
delta = filter_settings["end_date"] - filter_settings["start_date"]
if delta < h.time_deltas.get("12h")["delta"]:
divide_by_min = 1
elif delta <= h.time_deltas.get("3d")["delta"]:
divide_by_min = 5.0
elif delta >= h.time_deltas.get("2w")["delta"]:
divide_by_min = 60.0 * 24
else:
divide_by_min = 60.0
results = RequestMetricService.get_metrics_stats(request, filter_settings)
# because requests are PER SECOND / we divide 1 min stats by 60
# requests are normalized to 1 min average
# results are average seconds time spent per request in specific area
for point in results:
if point["requests"]:
point["main"] = (
point["main"]
- point["sql"]
- point["nosql"]
- point["remote"]
- point["tmpl"]
- point["custom"]
) / point["requests"]
point["sql"] = point["sql"] / point["requests"]
point["nosql"] = point["nosql"] / point["requests"]
point["remote"] = point["remote"] / point["requests"]
point["tmpl"] = point["tmpl"] / point["requests"]
point["custom"] = point["custom"] / point["requests"]
point["requests_2"] = point["requests"] / 60.0 / divide_by_min
selected_types = ["main", "sql", "nosql", "remote", "tmpl", "custom"]
for point in results:
for stat_type in selected_types:
point[stat_type] = round(point.get(stat_type, 0), 3)
return results
def metrics_graphs(request):
"""
Handles metric dashboard graphs
Returns information for time/tier breakdown
"""
query_params = request.GET.mixed()
query_params['resource'] = (request.context.resource.resource_id, )
filter_settings = build_filter_settings_from_query_dict(
request, query_params)
if not filter_settings.get('end_date'):
end_date = datetime.utcnow().replace(microsecond=0, second=0)
filter_settings['end_date'] = end_date
delta = timedelta(hours=1)
if not filter_settings.get('start_date'):
filter_settings['start_date'] = filter_settings['end_date'] - delta
if filter_settings['end_date'] <= filter_settings['start_date']:
filter_settings['end_date'] = filter_settings['start_date']
delta = filter_settings['end_date'] - filter_settings['start_date']
if delta < h.time_deltas.get('12h')['delta']:
divide_by_min = 1
elif delta <= h.time_deltas.get('3d')['delta']:
divide_by_min = 5.0
elif delta >= h.time_deltas.get('2w')['delta']:
divide_by_min = 60.0 * 24
else:
divide_by_min = 60.0
results = RequestMetricService.get_metrics_stats(request, filter_settings)
# because requests are PER SECOND / we divide 1 min stats by 60
# requests are normalized to 1 min average
# results are average seconds time spent per request in specific area
for point in results:
if point['requests']:
point['main'] = (point['main'] - point['sql'] - point['nosql'] -
point['remote'] - point['tmpl'] -
point['custom']) / point['requests']
point['sql'] = point['sql'] / point['requests']
point['nosql'] = point['nosql'] / point['requests']
point['remote'] = point['remote'] / point['requests']
point['tmpl'] = point['tmpl'] / point['requests']
point['custom'] = point['custom'] / point['requests']
point['requests_2'] = point['requests'] / 60.0 / divide_by_min
selected_types = ['main', 'sql', 'nosql', 'remote', 'tmpl', 'custom']
for point in results:
for stat_type in selected_types:
point[stat_type] = round(point.get(stat_type, 0), 3)
return results
def requests_graphs(request):
"""
Handles dashboard infomation for avg. response time split by today,
2 days ago and week ago
"""
query_params = request.GET.mixed()
query_params['resource'] = (request.context.resource.resource_id, )
filter_settings = build_filter_settings_from_query_dict(
request, query_params)
if not filter_settings.get('end_date'):
end_date = datetime.utcnow().replace(microsecond=0, second=0)
filter_settings['end_date'] = end_date
delta = timedelta(hours=1)
if not filter_settings.get('start_date'):
filter_settings['start_date'] = filter_settings['end_date'] - delta
result_now = RequestMetricService.get_metrics_stats(
request, filter_settings)
delta = filter_settings['end_date'] - filter_settings['start_date']
if delta < h.time_deltas.get('12h')['delta']:
seconds = h.time_deltas['1m']['minutes'] * 60.0
elif delta <= h.time_deltas.get('3d')['delta']:
seconds = h.time_deltas['5m']['minutes'] * 60.0
elif delta >= h.time_deltas.get('2w')['delta']:
seconds = h.time_deltas['24h']['minutes'] * 60.0
else:
seconds = h.time_deltas['1h']['minutes'] * 60.0
for item in result_now:
if item['requests']:
item['requests'] = round(item['requests'] / seconds, 3)
return result_now