Evaluation scores export library and CSS file for the exported HTML file

BUG=webrtc:7218
NOTRY=True

Review-Url: https://codereview.webrtc.org/2723703002
Cr-Commit-Position: refs/heads/master@{#17526}
This commit is contained in:
alessiob 2017-04-04 02:58:09 -07:00 committed by Commit bot
parent 8edb8397f8
commit aa7d935cd5
5 changed files with 251 additions and 12 deletions

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@ -45,6 +45,7 @@ copy("lib") {
"quality_assessment/noise_generation.py",
"quality_assessment/noise_generation_factory.py",
"quality_assessment/noise_generation_unittest.py",
"quality_assessment/results.css",
"quality_assessment/signal_processing.py",
"quality_assessment/signal_processing_unittest.py",
"quality_assessment/simulation.py",

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@ -146,10 +146,10 @@ def main():
}
# Export.
exporter = export.HtmlExport(
output_path=args.output_dir,
output_filename=_GetOutputFilename(args.filename_suffix))
output_filepath = exporter.export(scores)
output_filepath = os.path.join(args.output_dir, _GetOutputFilename(
args.filename_suffix))
exporter = export.HtmlExport(output_filepath)
exporter.export(scores)
logging.info('output file successfully written in %s', output_filepath)
sys.exit(0)

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@ -8,19 +8,196 @@
import logging
import os
import re
class HtmlExport(object):
def __init__(self, output_path, output_filename):
self._output_path = output_path
self._output_filename = output_filename
# Path to CSS and JS files.
_PATH = os.path.dirname(os.path.realpath(__file__))
# CSS file parameters.
_CSS_FILEPATH = os.path.join(_PATH, 'results.css')
_INLINE_CSS = True
_NEW_LINE = '\n'
def __init__(self, output_filepath):
self._noise_names = None
self._noise_params = None
self._output_filepath = output_filepath
def export(self, scores):
logging.debug('%d score names found', len(scores))
output_filepath = os.path.join(self._output_path, self._output_filename)
"""
Export the scores into an HTML file.
# TODO(alessio): remove once implemented
Args:
scores: nested dictionary containing the scores.
"""
# Generate one table for each evaluation score.
tables = []
for score_name in sorted(scores.keys()):
tables.append(self._build_score_table(score_name, scores[score_name]))
# Create the html file.
html = (
'<html>' +
self._build_header() +
'<body>' +
'<h1>Results from {}</h1>'.format(self._output_filepath) +
self._NEW_LINE.join(tables) +
'</body>' +
'</html>')
self._save(self._output_filepath, html)
def _build_header(self):
"""
HTML file header with page title and either embedded or linked CSS and JS
files.
"""
html = ['<head>', '<title>Results</title>']
# CSS.
if self._INLINE_CSS:
# Embed.
html.append('<style>')
with open(self._CSS_FILEPATH) as f:
for l in f:
html.append(l.strip())
html.append('</style>')
else:
# Link.
html.append('<link rel="stylesheet" type="text/css" '
'href="file://{}?">'.format(self._CSS_FILEPATH))
html.append('</head>')
return self._NEW_LINE.join(html)
def _build_score_table(self, score_name, scores):
"""
Generate a table for a specific evaluation score (e.g., POLQA).
"""
config_names = sorted(scores.keys())
input_names = sorted(scores[config_names[0]].keys())
rows = [self._table_row(
score_name, config_name, scores[config_name], input_names) for (
config_name) in config_names]
html = (
'<table celpadding="0" cellspacing="0">' +
'<thead><tr>{}</tr></thead>'.format(
self._table_header(score_name, input_names)) +
'<tbody>' +
'<tr>' + '</tr><tr>'.join(rows) + '</tr>' +
'</tbody>' +
'</table>' + self._legend())
return html
def _table_header(self, score_name, input_names):
"""
Generate a table header with the name of the evaluation score in the first
column and then one column for each probing signal.
"""
html = (
'<th>{}</th>'.format(self._format_name(score_name)) +
'<th>' + '</th><th>'.join(
[self._format_name(name) for name in input_names]) + '</th>')
return html
def _table_row(self, score_name, config_name, scores, input_names):
"""
Generate a table body row with the name of the APM configuration file in the
first column and then one column for each probing singal.
"""
cells = [self._table_cell(
scores[input_name], score_name, config_name, input_name) for (
input_name) in input_names]
html = ('<td>{}</td>'.format(self._format_name(config_name)) +
'<td>' + '</td><td>'.join(cells) + '</td>')
return html
def _table_cell(self, scores, score_name, config_name, input_name):
"""
Generate a table cell content with all the scores for the current evaluation
score, APM configuration, and probing signal.
"""
# Init noise generator names and noise parameters cache (if not done).
if self._noise_names is None:
self._noise_names = sorted(scores.keys())
self._noise_params = {noise_name: sorted(scores[noise_name].keys()) for (
noise_name) in self._noise_names}
# For each noisy input (that is a pair of noise generator name and noise
# generator parameters), add an item with the score and its metadata.
items = []
for name_index, noise_name in enumerate(self._noise_names):
for params_index, noise_params in enumerate(
self._noise_params[noise_name]):
# Init.
score_value = '?'
metadata = ''
# Extract score value and its metadata.
try:
data = scores[noise_name][noise_params]
score_value = '{0:f}'.format(data['score'])
metadata = (
'<input type="hidden" name="noise_name" value="{}"/>'
'<input type="hidden" name="noise_params" value="{}"/>'
'<input type="hidden" name="audio_in" value="file://{}"/>'
'<input type="hidden" name="audio_out" value="file://{}"/>'
'<input type="hidden" name="audio_ref" value="file://{}"/>'
).format(
noise_name,
noise_params,
data['audio_in_filepath'],
data['audio_out_filepath'],
data['audio_ref_filepath'])
except TypeError:
logging.warning(
'missing score found: <score:%s> <config:%s> <input:%s> '
'<noise:%s> <params:%s>', score_name, config_name, input_name,
noise_name, noise_params)
# Add the score.
items.append(
'<div class="noise-desc">[{0:d}, {1:d}]{2}</div>'
'<div class="value">{3}</div>'.format(
name_index, params_index, metadata, score_value))
html = (
'<div class="score">' +
'</div><div class="score">'.join(items) +
'</div>')
return html
def _legend(self):
"""
Generate the legend for each noise generator name and parameters pair.
"""
items = []
for name_index, noise_name in enumerate(self._noise_names):
for params_index, noise_params in enumerate(
self._noise_params[noise_name]):
items.append('<div class="noise-desc">[{0:d}, {1:d}]</div>: {2} noise, '
'{3}'.format(name_index, params_index, noise_name,
noise_params))
html = (
'<div class="legend"><div>' +
'</div><div>'.join(items) + '</div></div>')
return html
@classmethod
def _save(cls, output_filepath, html):
with open(output_filepath, 'w') as f:
f.write('APM Quality Assessment scores\n')
f.write(html)
return output_filepath
@classmethod
def _format_name(cls, name):
return re.sub(r'[_\-]', ' ', name)

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@ -35,6 +35,7 @@ from . import data_access
from . import exceptions
from . import signal_processing
class NoiseGenerator(object):
"""Abstract class responsible for the generation of noisy signals.

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@ -0,0 +1,60 @@
/* Copyright (c) 2017 The WebRTC project authors. All Rights Reserved.
*
* Use of this source code is governed by a BSD-style license
* that can be found in the LICENSE file in the root of the source
* tree. An additional intellectual property rights grant can be found
* in the file PATENTS. All contributing project authors may
* be found in the AUTHORS file in the root of the source tree.
*/
body{
font-family: Arial;
font-size: 75%;
}
table{
border-top: 1px solid #000;
border-right: 1px solid #000;
margin: 1em 0 0.2em 0;
}
table thead tr th{
font-size: 0.9em;
text-align: center;
border-bottom: 1px solid #000;
border-left: 1px solid #000;
min-width: 8em;
}
table thead tr th:first-child{
text-transform: uppercase;
}
table tbody tr td{
font-size: 0.8em;
text-align: center;
border-bottom: 1px solid #000;
border-left: 1px solid #000;
}
table tbody tr td:first-child{
font-weight: bold;
}
table tbody tr td .selected{
background-color: #EE9;
}
table tbody tr td .value{
display: inline-block;
}
.noise-desc{
display: inline-block;
margin-right: 0.3em;
border: 1px solid #555;
color: #555;
background-color: #EEE;
padding: 1px;
font-size: 0.8em;
}