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dashboard.py
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dashboard.py
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#!/usr/bin/env python3
import dash
from dash.dependencies import Input, Output
import dash_core_components as dcc
import dash_html_components as html
import click
import json
import itertools
import sys
import argparse
def compute_xs(program_rps_map):
# l = list(set(itertools.chain(*[d.keys() for d in program_rps_map.values()])))
return list(program_rps_map.keys())
def compute_ys(xs, rps_map, f):
ys = []
for x in xs:
stat = rps_map.get(x)
y = f(stat) if stat else None
ys.append(y)
return ys
def get_data(results, fn):
all_servers = {result['server_name']:True for result in results}.keys()
# print(program_rps_map)
ys = []
for server_name in all_servers:
query_results = [result for result in results if result['server_name'] == server_name]
server_name_results = {
result['query_name']: result['results'] for result in query_results
}
dataRow = {
"x" : list(server_name_results.keys()),
"y": list(map(fn, server_name_results.values())),
"type": "bar",
"name": server_name
}
ys.append(dataRow)
return ys
def get_ymetric_fn(yMetric, on='latency'):
if yMetric == "P95":
yMetricFn = lambda x: x[on]['dist']['95']
elif yMetric == "P98":
yMetricFn = lambda x: x[on]['dist']['98']
elif yMetric == "P99":
yMetricFn = lambda x: x[on]['dist']['99']
elif yMetric == "MIN":
yMetricFn = lambda x: x[on]['min']
# elif yMetric == "ERRORS":
# yMetricFn = lambda x: sum(x['summary']['errors'].values())
elif yMetric == "MAX":
yMetricFn = lambda x: x[on]['max']
else:
yMetricFn = lambda x: x[on]['mean']
if on == 'latency':
return lambda x: round(yMetricFn(x)/1000, 2)
return lambda x: int(yMetricFn(x))
def run_dash_server(bench_results, debug=False):
all_queries = set([result['query_name'] for result in bench_results])
app = dash.Dash()
app.layout = html.Div(children=[
# html.Label('Benchmark'),
# dcc.Dropdown(
# id='benchmark-index',
# options=[{'label': query_name, 'value': query_name} for query_name in all_queries],
# value=next(iter(all_queries))
# ),
html.Label('Response time metric'),
dcc.Dropdown(
id='response-time-metric',
options=[
{'label': 'P95', 'value': 'P95'},
{'label': 'P98', 'value': 'P98'},
{'label': 'P99', 'value': 'P99'},
{'label': 'Min', 'value': 'MIN'},
{'label': 'Max', 'value': 'MAX'},
{'label': 'Average', 'value': 'AVG'},
{'label': 'Mean', 'value': 'MEAN'},
# {'label': 'Errors', 'value': 'ERRORS'},
],
value='P99'
),
dcc.Graph(id='response-time-vs-query'),
dcc.Graph(id='requests-vs-query'),
])
@app.callback(
Output('response-time-vs-query', 'figure'),
[
# Input('benchmark-index', 'value'),
Input('response-time-metric', 'value')
]
)
def updateGraph(yMetric):
# print(bench_results)
figure={
'data': get_data(bench_results, get_ymetric_fn(yMetric, on='latency')),
'layout': {
'yaxis' : {
'title': "Response time ({}) in ms".format(yMetric)
},
'xaxis' : {
'title': "Server"
},
'title' : 'Response time vs Query by server'
}
}
return figure
@app.callback(
Output('requests-vs-query', 'figure'),
[
# Input('benchmark-index', 'value'),
Input('response-time-metric', 'value')
]
)
def updateGraph(yMetric):
# print(bench_results)
figure={
'data': get_data(bench_results, get_ymetric_fn(yMetric, on='requests')),
'layout': {
'yaxis' : {
'title': "Requests/s ({})".format(yMetric)
},
'xaxis' : {
'title': "Server"
},
'title' : 'Reqs/s vs Query by server'
}
}
return figure
app.run_server(host="0.0.0.0", port=8080, debug=debug)