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#!/usr/bin/python
# Copyright (c) 2011 The Chromium Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
"""A module for manipulating trend graph with analyzer result history."""
import fileinput
import os
import sys
DEFAULT_TREND_GRAPH_PATH = os.path.join('graph', 'graph.html')
# The following is necesasry to decide the point to insert.
LINE_INSERT_POINT_FOR_NUMBERS = r'// insert 1'
LINE_INSERT_POINT_FOR_PASSING_RATE = r'// insert 2'
class TrendGraph(object):
"""A class to manage trend graph which is using Google Visualization APIs.
Google Visualization API (http://code.google.com/apis/chart/interactive/docs/
gallery/annotatedtimeline.html) is used to present the historical analyzer
result. Currently, data is directly written to JavaScript file using file
in-place replacement for simplicity.
TODO(imasaki): use GoogleSpreadsheet to store the analyzer result.
"""
def __init__(self, location=DEFAULT_TREND_GRAPH_PATH):
"""Initialize this object with the location of trend graph."""
self._location = location
def Update(self, datetime_string, data_map):
"""Update trend graphs using |datetime_string| and |data_map|.
There are two kinds of graphs to be updated (one is for numbers and the
other is for passing rates).
Args:
datetime_string: a datetime string delimited by ','
(e.g., '2008,1,1,13,45,00)'. For example, in the case of the year
2008, this ranges from '2008,1,1,0,0,00' to '2008,12,31,23,59,99'.
data_map: a dictionary containing 'whole', 'skip' , 'nonskip',
'passingrate' as its keys and (number, tile, text) string tuples
as values for graph annotation.
"""
joined_str = ''
# For a date format in GViz, month is shifted (e.g., '2008,2,1' means
# March 1, 2008). So, the input parameter |datetime_string| (before this
# conversion) must be shifted in order to show the date properly on GViz.
# After the below conversion, for example, in the case of the year 2008,
# |datetime_string| ranges from '2008,0,1,0,0,00' to '2008,11,31,23,59,99'.
str_list = datetime_string.split(',')
str_list[1] = str(int(str_list[1])-1) # month
datetime_string = ','.join(str_list)
for key in ['whole', 'skip', 'nonskip']:
joined_str += ','.join(data_map[key]) + ','
new_line_for_numbers = ' [new Date(%s),%s],\n' % (datetime_string,
joined_str)
new_line_for_numbers += ' %s\n' % (
LINE_INSERT_POINT_FOR_NUMBERS)
self._ReplaceLine(LINE_INSERT_POINT_FOR_NUMBERS, new_line_for_numbers)
joined_str = '%s,%s,%s' % (
data_map['passingrate'][0], data_map['nonskip'][1],
data_map['nonskip'][2])
new_line_for_passingrate = ' [new Date(%s),%s],\n' % (
datetime_string, joined_str)
new_line_for_passingrate += ' %s\n' % (
LINE_INSERT_POINT_FOR_PASSING_RATE)
self._ReplaceLine(LINE_INSERT_POINT_FOR_PASSING_RATE,
new_line_for_passingrate)
def _ReplaceLine(self, search_exp, replace_line):
"""Replace line which has |search_exp| with |replace_line|.
Args:
search_exp: search expression to find a line to be replaced.
replace_line: the new line.
"""
for line in fileinput.input(self._location, inplace=1):
if search_exp in line:
line = replace_line
sys.stdout.write(line)
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