blob: 6b10b8fec2025e9fe1431be0f0a9da43472bfef4 [file] [log] [blame]
# Lint as: python2, python3
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import re
import reason_qualifier
# pylint: disable=missing-docstring
color_map = {
'header' : '#e5e5c0', # greyish yellow
'blank' : '#ffffff', # white
'plain_text' : '#e5e5c0', # greyish yellow
'borders' : '#bbbbbb', # grey
'white' : '#ffffff', # white
'green' : '#66ff66', # green
'yellow' : '#fffc00', # yellow
'red' : '#ff6666', # red
#### additional keys for shaded color of a box
#### depending on stats of GOOD/FAIL
'100pct' : '#32CD32', # green, 94% to 100% of success
'95pct' : '#c0ff80', # step twrds yellow, 88% to 94% of success
'90pct' : '#ffff00', # yellow, 82% to 88%
'85pct' : '#ffc040', # 76% to 82%
'75pct' : '#ff4040', # red, 1% to 76%
'0pct' : '#d080d0', # violet, <1% of success
}
_brief_mode = False
def set_brief_mode():
global _brief_mode
_brief_mode = True
def is_brief_mode():
return _brief_mode
def color_keys_row():
""" Returns one row table with samples of 'NNpct' colors
defined in the color_map
and numbers of corresponding %%
"""
### This function does not require maintenance in case of
### color_map augmenting - as long as
### color keys for box shading have names that end with 'pct'
keys = [key for key in color_map.keys() if key.endswith('pct')]
def num_pct(key):
return int(key.replace('pct',''))
keys.sort(key=num_pct)
html = ''
for key in keys:
html+= "\t\t\t<td bgcolor =%s>&nbsp;&nbsp;&nbsp;</td>\n"\
% color_map[key]
hint = key.replace('pct',' %')
if hint[0]!='0': ## anything but 0 %
hint = 'to ' + hint
html+= "\t\t\t<td> %s </td>\n" % hint
html = """
<table width = "500" border="0" cellpadding="2" cellspacing="2">\n
<tbody>\n
<tr>\n
%s
</tr>\n
</tbody>
</table><br>
""" % html
return html
def calculate_html(link, data, tooltip=None, row_label=None, column_label=None):
if not is_brief_mode():
hover_text = '%s:%s' % (row_label, column_label)
if data: ## cell is not empty
hover_text += '<br>%s' % tooltip
else:
## avoid "None" printed in empty cells
data = '&nbsp;'
html = ('<center><a class="info" href="%s">'
'%s<span>%s</span></a></center>' %
(link, data, hover_text))
return html
# no hover if embedded into AFE but links shall redirect to new window
if data: ## cell is non empty
html = '<a href="%s" target="_blank">%s</a>' % (link, data)
return html
else: ## cell is empty
return '&nbsp;'
class box:
def __init__(self, data, color_key = None, header = False, link = None,
tooltip = None, row_label = None, column_label = None):
## in brief mode we display grid table only and nothing more
## - mouse hovering feature is stubbed in brief mode
## - any link opens new window or tab
redirect = ""
if is_brief_mode():
## we are acting under AFE
## any link shall open new window
redirect = " target=NEW"
if data:
data = "<tt>%s</tt>" % data
if link and not tooltip:
## FlipAxis corner, column and row headers
self.data = ('<a href="%s"%s>%s</a>' %
(link, redirect, data))
else:
self.data = calculate_html(link, data, tooltip,
row_label, column_label)
if color_key in color_map:
self.color = color_map[color_key]
elif header:
self.color = color_map['header']
elif data:
self.color = color_map['plain_text']
else:
self.color = color_map['blank']
self.header = header
def html(self):
if self.data:
data = self.data
else:
data = '&nbsp'
if self.header:
box_html = 'th'
else:
box_html = 'td'
return "<%s bgcolor=%s>%s</%s>" % \
(box_html, self.color, data, box_html)
def grade_from_status(status_idx, status):
# % of goodness
# GOOD (6) -> 1
# TEST_NA (8) is not counted
# ## If the test doesn't PASS, it FAILS
# else -> 0
if status == status_idx['GOOD']:
return 1.0
else:
return 0.0
def average_grade_from_status_count(status_idx, status_count):
average_grade = 0
total_count = 0
for key in status_count.keys():
if key not in (status_idx['TEST_NA'], status_idx['RUNNING']):
average_grade += (grade_from_status(status_idx, key)
* status_count[key])
total_count += status_count[key]
if total_count != 0:
average_grade = average_grade / total_count
else:
average_grade = 0.0
return average_grade
def shade_from_status_count(status_idx, status_count):
if not status_count:
return None
## average_grade defines a shade of the box
## 0 -> violet
## 0.76 -> red
## 0.88-> yellow
## 1.0 -> green
average_grade = average_grade_from_status_count(status_idx, status_count)
## find appropiate keyword from color_map
if average_grade<0.01:
shade = '0pct'
elif average_grade<0.75:
shade = '75pct'
elif average_grade<0.85:
shade = '85pct'
elif average_grade<0.90:
shade = '90pct'
elif average_grade<0.95:
shade = '95pct'
else:
shade = '100pct'
return shade
def status_html(db, box_data, shade):
"""
status_count: dict mapping from status (integer key) to count
eg. { 'GOOD' : 4, 'FAIL' : 1 }
"""
status_count_subset = box_data.status_count.copy()
test_na = db.status_idx['TEST_NA']
running = db.status_idx['RUNNING']
good = db.status_idx['GOOD']
status_count_subset[test_na] = 0 # Don't count TEST_NA
status_count_subset[running] = 0 # Don't count RUNNING
html = "%d&nbsp;/&nbsp;%d " % (status_count_subset.get(good, 0),
sum(status_count_subset.values()))
if test_na in box_data.status_count.keys():
html += ' (%d&nbsp;N/A)' % box_data.status_count[test_na]
if running in box_data.status_count.keys():
html += ' (%d&nbsp;running)' % box_data.status_count[running]
if box_data.reasons_list:
reasons_list = box_data.reasons_list
aggregated_reasons_list = \
reason_qualifier.aggregate_reason_fields(reasons_list)
for reason in aggregated_reasons_list:
## a bit of more postprocessing
## to look nicer in a cell
## in future: to do subtable within the cell
reason = reason.replace('<br>','\n')
reason = reason.replace('<','[').replace('>',']')
reason = reason.replace('|','\n').replace('&',' AND ')
reason = reason.replace('\n','<br>')
html += '<br>' + reason
tooltip = ""
for status in sorted(box_data.status_count.keys(), reverse = True):
status_word = db.status_word[status]
tooltip += "%d %s " % (box_data.status_count[status], status_word)
return (html,tooltip)
def status_count_box(db, tests, link = None):
"""
Display a ratio of total number of GOOD tests
to total number of all tests in the group of tests.
More info (e.g. 10 GOOD, 2 WARN, 3 FAIL) is in tooltips
"""
if not tests:
return box(None, None)
status_count = {}
for test in tests:
count = status_count.get(test.status_num, 0)
status_count[test.status_num] = count + 1
return status_precounted_box(db, status_count, link)
def status_precounted_box(db, box_data, link = None,
x_label = None, y_label = None):
"""
Display a ratio of total number of GOOD tests
to total number of all tests in the group of tests.
More info (e.g. 10 GOOD, 2 WARN, 3 FAIL) is in tooltips
"""
status_count = box_data.status_count
if not status_count:
return box(None, None)
shade = shade_from_status_count(db.status_idx, status_count)
html,tooltip = status_html(db, box_data, shade)
precounted_box = box(html, shade, False, link, tooltip,
x_label, y_label)
return precounted_box
def print_table(matrix):
"""
matrix: list of lists of boxes, giving a matrix of data
Each of the inner lists is a row, not a column.
Display the given matrix of data as a table.
"""
print(('<table bgcolor="%s" cellspacing="1" cellpadding="5" '
'style="margin-right: 200px;">') % (
color_map['borders']))
for row in matrix:
print('<tr>')
for element in row:
print(element.html())
print('</tr>')
print('</table>')
def print_main_header():
hover_css="""\
a.info{
position:relative; /*this is the key*/
z-index:1
color:#000;
text-decoration:none}
a.info:hover{z-index:25;}
a.info span{display: none}
a.info:hover span{ /*the span will display just on :hover state*/
display:block;
position:absolute;
top:1em; left:1em;
min-width: 100px;
overflow: visible;
border:1px solid #036;
background-color:#fff; color:#000;
text-align: left
}
"""
print('<head><style type="text/css">')
print('a { text-decoration: none }')
print(hover_css)
print('</style></head>')
print('<h2>')
print('<a href="compose_query.cgi">Functional</a>')
print('&nbsp&nbsp&nbsp')
def group_name(group):
name = re.sub('_', '<br>', group.name)
if re.search('/', name):
(owner, machine) = name.split('/', 1)
name = owner + '<br>' + machine
return name