def get_boxplot_endpoints(endpoint=None, form=None):
"""
Generates a box plot visualization for the unit test endpoint hits performance results.
:param endpoint: if specified, generate box plot for a specific endpoint, otherwise, generate for all tests
:param form: the form that can be used for showing a subset of the data
:return:
"""
trace = []
with session_scope() as db_session:
if form:
ids = get_travis_builds(db_session, limit=form.get_slider_value())
else:
ids = get_travis_builds(db_session)
if not ids:
return None
for id in ids:
if endpoint:
values = get_endpoint_measurements_job(db_session,
name=endpoint,
job_id=id)
else:
values = get_endpoint_measurements(db_session, suite=id)
trace.append(boxplot(values=values, label='{} -'.format(id)))
layout = get_layout(xaxis={'title': 'Execution time (ms)'},
yaxis={
'title': 'Travis Build',
'autorange': 'reversed'
})
return get_figure(layout=layout, data=trace)
def get_boxplot_tests(form=None):
"""
Generates a box plot visualization for the unit test performance results.
:param form: the form that can be used for showing a subset of the data
:return:
"""
trace = []
with session_scope() as db_session:
if form:
suites = get_test_suites(db_session, limit=form.get_slider_value())
else:
suites = get_test_suites(db_session)
if not suites:
return None
for s in suites:
values = get_suite_measurements(db_session, suite=s)
trace.append(boxplot(values=values, label='{} -'.format(s)))
layout = get_layout(xaxis={'title': 'Execution time (ms)'},
yaxis={
'title': 'Travis Build',
'autorange': 'reversed'
})
return get_figure(layout=layout, data=trace)
def endpoint_graph():
"""
Creates a graph with the execution times per endpoint
:return:
"""
with session_scope() as db_session:
data = get_endpoint_data_grouped(db_session, lambda x: simplify(x, 10))
values = [
boxplot(get_value(data, end.id, default=[]), name=end.name)
for end in get_endpoints(db_session)
]
layout = get_layout(height=350 + 40 * len(values),
xaxis={'title': 'Execution time (ms)'},
margin=get_margin())
return get_figure(layout, values)
def version_ip_graph(db_session, endpoint_id, form):
"""
:param db_session: session for the database
:param endpoint_id: the endpoint to filter the data on
:param form: form for reducing the size of the graph
:return: an HTML bubble plot
"""
users = get_ips(db_session, endpoint_id, form.get_slider_value(0))
versions = get_versions(db_session, endpoint_id, form.get_slider_value(1))
first_request = get_first_requests(db_session, endpoint_id)
values = get_two_columns_grouped(db_session, Request.ip,
Request.endpoint_id == endpoint_id)
data = [[get_value(values, (user, v)) for v in versions] for user in users]
average = get_average_bubble_size(data)
trace = [
scatter(x=[
format_version(v, get_value(first_request, v)) for v in versions
],
hovertext=[
'Time: {:,.1f}ms'.format(data[i][j])
for j in range(len(versions))
],
y=[users[i]] * len(versions),
name=users[i],
mode='markers',
marker={
'color': [get_color(users[i])] * len(versions),
'size': [math.sqrt(d) for d in data[i]],
'sizeref': average,
'sizemode': 'area'
}) for i in range(len(users))
]
layout = get_layout(height=350 + 40 * len(trace),
xaxis={
'title': 'Versions',
'type': 'category'
},
yaxis={
'title': 'IP-addresses',
'type': 'category',
'autorange': 'reversed'
},
margin=get_margin(b=200))
return get_figure(layout, trace)
def version_usage_graph(db_session, form):
"""
Used for getting a Heatmap with an overview of which endpoints are used in which versions
:param db_session: session for the database
:param form: instance of SliderForm
:return:
"""
endpoints = get_endpoints(db_session)
versions = get_versions(db_session, limit=form.get_slider_value())
requests = [
count_requests_group(db_session, Request.version_requested == v)
for v in versions
]
total_hits = []
hits = [[]] * len(endpoints)
for hits_version in requests:
total_hits.append(max(1, sum([value for key, value in hits_version])))
for j in range(len(endpoints)):
hits[j] = [0] * len(versions)
for i in range(len(versions)):
hits[j][i] = get_value(requests[i],
endpoints[j].id) * 100 / total_hits[i]
layout = get_layout(xaxis={
'title': 'Versions',
'type': 'category'
},
yaxis={
'type': 'category',
'autorange': 'reversed'
},
margin=get_margin())
trace = heatmap(z=hits,
x=versions,
y=['{} '.format(e.name) for e in endpoints],
colorbar={
'titleside': 'top',
'tickmode': 'array',
})
return get_figure(layout=layout, data=[trace])
def users_graph(id, form):
"""
Return an HTML box plot with a specific number of
:param id: get the data for this endpoint only
:param form: instance of SliderForm
:return:
"""
with session_scope() as db_session:
users = get_users(db_session, id, form.get_slider_value())
times = get_user_data_grouped(db_session, lambda x: simplify(x, 10),
Request.endpoint_id == id)
data = [boxplot(name=u, values=get_value(times, u)) for u in users]
layout = get_layout(height=350 + 40 * len(data),
xaxis={'title': 'Execution time (ms)'},
yaxis={
'type': 'category',
'title': 'User'
})
return get_figure(layout, data)
def requests_graph(form):
"""
Returns a horizontal box plot with the number of requests per day.
:param form: must be the form that is obtained by get_daterange_form
:return:
"""
days = form.get_days()
with session_scope() as db_session:
hits = count_requests_per_day(db_session, days)
data = [barplot(x=[get_value(hits_day, end.id) for hits_day in hits], y=days, name=end.name)
for end in get_endpoints(db_session)]
layout = get_layout(
barmode='stack',
height=350 + 40 * len(days),
showlegend=True,
xaxis={'title': 'Number of requests'},
yaxis={'type': 'category'}
)
return get_figure(layout=layout, data=data)
def hourly_load_graph(form, endpoint_id=None):
"""
Return HTML string for generating a Heatmap.
:param form: A SelectDateRangeForm, which is used to filter the selection
:param endpoint_id: optionally, filter the data on a specific endpoint
:return: HTML code with the graph
"""
# list of hours: 0:00 - 23:00
hours = ['0{}:00'.format(h) for h in range(0, 10)
] + ['{}:00'.format(h) for h in range(10, 24)]
days = form.get_days()
# create empty 2D-list: [hour][day]
heatmap_data = numpy.zeros((len(hours), len(days)))
# add data from database to heatmap_data
start_datetime = to_utc_datetime(
datetime.datetime.combine(form.start_date.data,
datetime.time(0, 0, 0, 0)))
end_datetime = to_utc_datetime(
datetime.datetime.combine(form.end_date.data,
datetime.time(23, 59, 59)))
with session_scope() as db_session:
for time, count in get_num_requests(db_session, endpoint_id,
start_datetime, end_datetime):
parsed_time = datetime.datetime.strptime(time, '%Y-%m-%d %H:%M:%S')
day_index = (parsed_time - start_datetime).days
hour_index = int(to_local_datetime(parsed_time).strftime('%H'))
heatmap_data[hour_index][day_index] = count
start_datetime = to_local_datetime(start_datetime - datetime.timedelta(
days=1)).strftime('%Y-%m-%d 12:00:00')
end_datetime = to_local_datetime(
form.end_date.data).strftime('%Y-%m-%d 12:00:00')
layout = get_layout(xaxis=go.XAxis(range=[start_datetime, end_datetime]))
return get_figure(layout, [plot_heatmap(x=days, y=hours, z=heatmap_data)])
def versions_graph(db_session, endpoint_id, form):
times = get_version_data_grouped(db_session, lambda x: simplify(x, 10),
Request.endpoint_id == endpoint_id)
first_requests = get_first_requests(db_session, endpoint_id,
form.get_slider_value())
data = [
boxplot(name=format_version(
request.version_requested,
get_value(first_requests, request.version_requested)),
values=get_value(times, request.version_requested),
marker={'color': get_color(request.version_requested)})
for request in first_requests
]
layout = get_layout(height=350 + 40 * len(first_requests),
xaxis={'title': 'Execution time (ms)'},
yaxis={
'type': 'category',
'title': 'Version',
'autorange': 'reversed'
},
margin=get_margin())
return get_figure(layout=layout, data=data)
