def s3_populate_browser_compatibility(request):
"""
Use WURFL for browser compatibility detection
@ToDo: define a list of features to store
"""
features = Storage(
#category = ["list","of","features","to","store"]
)
try:
from pywurfl.algorithms import TwoStepAnalysis
except ImportError:
s3_debug(
"pywurfl python module has not been installed, browser compatibility listing will not be populated. Download pywurfl from http://pypi.python.org/pypi/pywurfl/"
)
return False
import wurfl
device = wurfl.devices.select_ua(unicode(request.env.http_user_agent),
search=TwoStepAnalysis(wurfl.devices))
browser = Storage()
#for feature in device:
#if feature[0] not in category_list:
#category_list.append(feature[0])
#for category in features:
#if category in
#browser[category] = Storage()
for feature in device:
if feature[0] in features and \
feature[1] in features[feature[0]]:
browser[feature[0]][feature[1]] = feature[2]
return browser
def _analyze(ua_str):
return devices.select_ua(ua_str, search=TwoStepAnalysis(devices))
#!/usr/bin/env python
import sys
from wurfl import devices
from pywurfl.algorithms import TwoStepAnalysis
search_algorithm = TwoStepAnalysis(devices)
# input comes from STDIN (standard input)
for line in sys.stdin:
# remove leading and trailing whitespace
line = line.strip()
# split the line into words
words = line.split(" ")
# increase counters
# for word in words:
# write the results to STDOUT (standard output);
# what we output here will be the input for the
# Reduce step, i.e. the input for reducer.py
#
# tab-delimited; the trivial word count is 1
user_agent = unicode(words[len(words) - 1])
device = devices.select_ua(user_agent, search=search_algorithm)
print '%s %s (%s %s)\t%s' % (device.brand_name, device.model_name,
device.mobile_browser,
device.mobile_browser_version, 1)