blob: 90c9ba0ec34507e8d4dc99322cdad5ba4cb0b856 [file] [log] [blame]
#!/usr/bin/env python
# Copyright (c) 2011 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.
import os
import gviz_api
import webrtc.data_helper
def main():
"""
This Python script displays a web page with test created with the
video_quality_measurement program, which is a tool in WebRTC.
The script requires on two external files and one Python library:
- A HTML template file with layout and references to the json variables
defined in this script
- A data file in Python format, containing the following:
- test_configuration - a dictionary of test configuration names and values.
- frame_data_types - a dictionary that maps the different metrics to their
data types.
- frame_data - a list of dictionaries where each dictionary maps a metric to
it's value.
- The gviz_api.py of the Google Visualization Python API, available at
http://code.google.com/p/google-visualization-python/
The HTML file is shipped with the script, while the data file must be
generated by running video_quality_measurement with the --python flag
specified.
"""
print 'Content-type: text/html\n' # the newline is required!
page_template_filename = '../templates/chart_page_template.html'
# The data files must be located in the project tree for app engine being
# able to access them.
data_filenames = [ '../data/vp8_sw.py', '../data/vp8_hw.py' ]
# Will contain info/error messages to be displayed on the resulting page.
messages = []
# Load the page HTML template.
try:
f = open(page_template_filename)
page_template = f.read()
f.close()
except IOError as e:
ShowErrorPage('Cannot open page template file: %s<br>Details: %s' %
(page_template_filename, e))
return
# Read data from external Python script files. First check that they exist.
for filename in data_filenames:
if not os.path.exists(filename):
messages.append('Cannot open data file: %s' % filename)
data_filenames.remove(filename)
# Read data from all existing input files.
data_list = []
test_configurations = []
names = []
for filename in data_filenames:
read_vars = {} # empty dictionary to load the data into.
execfile(filename, read_vars, read_vars)
test_configuration = read_vars['test_configuration']
table_description = read_vars['frame_data_types']
table_data = read_vars['frame_data']
# Verify the data in the file loaded properly.
if not table_description or not table_data:
messages.append('Invalid input file: %s. Missing description list or '
'data dictionary variables.' % filename)
continue
# Frame numbers appear as number type in the data, but Chart API requires
# values of the X-axis to be of string type.
# Change the frame_number column data type:
table_description['frame_number'] = ('string', 'Frame number')
# Convert all the values to string types:
for row in table_data:
row['frame_number'] = str(row['frame_number'])
# Store the unique data from this file in the high level lists.
test_configurations.append(test_configuration)
data_list.append(table_data)
# Name of the test run must be present.
test_name = FindConfiguration(test_configuration, 'name')
if not test_name:
messages.append('Invalid input file: %s. Missing configuration key '
'"name"', filename)
continue
names.append(test_name)
# Create data helper and build data tables for each graph.
helper = webrtc.data_helper.DataHelper(data_list, table_description,
names, messages)
# Loading it into gviz_api.DataTable objects and create JSON strings.
description, data = helper.CreateConfigurationTable(test_configurations)
configurations = gviz_api.DataTable(description, data)
json_configurations = configurations.ToJSon() # pylint: disable=W0612
description, data = helper.CreateData('ssim')
ssim = gviz_api.DataTable(description, data)
# pylint: disable=W0612
json_ssim_data = ssim.ToJSon(helper.GetOrdering(description))
description, data = helper.CreateData('psnr')
psnr = gviz_api.DataTable(description, data)
# pylint: disable=W0612
json_psnr_data = psnr.ToJSon(helper.GetOrdering(description))
description, data = helper.CreateData('packets_dropped')
packet_loss = gviz_api.DataTable(description, data)
# pylint: disable=W0612
json_packet_loss_data = packet_loss.ToJSon(helper.GetOrdering(description))
description, data = helper.CreateData('bit_rate')
# Add a column of data points for the desired bit rate to be plotted.
# (uses test configuration from the last data set, assuming it is the same
# for all of them)
desired_bit_rate = FindConfiguration(test_configuration, 'bit_rate_in_kbps')
if not desired_bit_rate:
ShowErrorPage('Cannot configuration field named "bit_rate_in_kbps"')
return
desired_bit_rate = int(desired_bit_rate)
# Add new column data type description.
description['desired_bit_rate'] = ('number', 'Desired bit rate (kbps)')
for row in data:
row['desired_bit_rate'] = desired_bit_rate
bit_rate = gviz_api.DataTable(description, data)
# pylint: disable=W0612
json_bit_rate_data = bit_rate.ToJSon(helper.GetOrdering(description))
# Format the messages list with newlines.
messages = '\n'.join(messages)
# Put the variables as JSon strings into the template.
print page_template % vars()
def FindConfiguration(configuration, name):
""" Finds a configuration value using it's name.
Returns the first configuration with a matching name. Returns None if no
matching configuration is found. """
return_value = None
for row in configuration:
if row['name'] == name:
return_value = row['value']
break
return return_value
def ShowErrorPage(error_message):
print '<html><body>%s</body></html>' % error_message
if __name__ == '__main__':
main()