def getIPAddress(request, addr):
data = LookupIP.instance().lookup(addr)
if data:
return HttpResponse(json.dumps(data))
else:
return Http404
def getIPAddress(request, addr):
data = LookupIP.instance().lookup(addr)
if data:
return HttpResponse(json.dumps(data))
else:
return Http404
def process(cls, widget, job, data):
"""Class method to generate list of circle objects.
Subclass should manipulate this list into specific
JSON structures as needed.
"""
settings = SystemSettings.get_system_settings()
maps_version = settings.maps_version
post_process = POST_PROCESS_MAP[maps_version]
columns = job.get_columns()
ColInfo = namedtuple('ColInfo', ['col', 'dataindex'])
keycol = None
latcol = None
longcol = None
valuecol = None
labelcol = None
urlcol = None
for i, c in enumerate(columns):
if c.name == widget.options.key:
keycol = ColInfo(c, i)
elif c.name == widget.options.latitude:
latcol = ColInfo(c, i)
elif c.name == widget.options.longitude:
longcol = ColInfo(c, i)
elif c.name == widget.options.value:
valuecol = ColInfo(c, i)
elif c.name == widget.options.label:
labelcol = ColInfo(c, i)
elif c.name == widget.options.url:
urlcol = ColInfo(c, i)
# Array of circle objects for each data row
Circle = namedtuple('Circle', [
'title', 'lat', 'long', 'value', 'size', 'url', 'units',
'formatter'
])
circles = []
if data:
valmin = None
valmax = None
if valuecol.col.isnumeric():
values = zip(*data)[valuecol.dataindex]
filtered = filter(bool, values)
if filtered:
valmin = min(filtered)
valmax = max(filtered)
else:
valmin = 1
valmax = 1
geolookup = None
if valuecol.col.isnumeric():
formatter = 'formatMetric'
else:
formatter = None
for rawrow in data:
val = rawrow[valuecol.dataindex]
# skip empty result values which are not explicitly zero
if val is None or val == '':
continue
if valmax:
normalized = float(val - valmin) / float(valmax - valmin)
marker_size = 5 + normalized * 20
else:
marker_size = 5
if keycol:
key = rawrow[keycol.dataindex]
# XXXCJ - this is a hack for NetProfiler based host groups,
# need to generalize this, probably via options
if widget.table().options.get('groupby') == 'host_group':
try:
geo = Location.objects.get(name=key)
except ObjectDoesNotExist:
continue
else:
# Perform geolookup on the key
# (should be an IP address...)
if geolookup is None:
geolookup = LookupIP.instance()
geo = geolookup.lookup(key)
if geo:
# Found a match, create a Circle
url = rawrow[urlcol.dataindex] if urlcol else None
circle = Circle(title=geo.name,
lat=geo.latitude,
long=geo.longitude,
value=val,
size=marker_size,
units=valuecol.col.units_str(),
formatter=formatter,
url=url)
circles.append(circle)
else:
# use lat/long columns instead of lookups
lat = rawrow[latcol.dataindex]
long = rawrow[longcol.dataindex]
title = rawrow[labelcol.dataindex] if labelcol else val
url = rawrow[urlcol.dataindex] if urlcol else None
circle = Circle(title=title,
lat=lat,
long=long,
value=val,
size=marker_size,
units=valuecol.col.units_str(),
formatter=formatter,
url=url)
circles.append(circle)
else:
# no data just return empty circles list
pass
data = {
"chartTitle": widget.title.format(**job.actual_criteria),
"circles": circles,
"minbounds": widget.options.min_bounds
}
return post_process(data)
def process(cls, widget, job, data):
"""Class method to generate list of circle objects.
Subclass should manipulate this list into specific
JSON structures as needed.
"""
settings = SystemSettings.get_system_settings()
maps_version = settings.maps_version
post_process = POST_PROCESS_MAP[maps_version]
columns = job.get_columns()
ColInfo = namedtuple('ColInfo', ['col', 'dataindex'])
keycol = None
latcol = None
longcol = None
valuecol = None
labelcol = None
urlcol = None
for i, c in enumerate(columns):
if c.name == widget.options.key:
keycol = ColInfo(c, i)
elif c.name == widget.options.latitude:
latcol = ColInfo(c, i)
elif c.name == widget.options.longitude:
longcol = ColInfo(c, i)
elif c.name == widget.options.value:
valuecol = ColInfo(c, i)
elif c.name == widget.options.label:
labelcol = ColInfo(c, i)
elif c.name == widget.options.url:
urlcol = ColInfo(c, i)
# Array of circle objects for each data row
Circle = namedtuple('Circle',
['title', 'lat', 'long', 'value', 'size', 'url',
'units', 'formatter'])
circles = []
if data:
valmin = None
valmax = None
if valuecol.col.isnumeric():
values = zip(*data)[valuecol.dataindex]
filtered = filter(bool, values)
if filtered:
valmin = min(filtered)
valmax = max(filtered)
else:
valmin = 1
valmax = 1
geolookup = None
if valuecol.col.isnumeric():
formatter = 'formatMetric'
else:
formatter = None
for rawrow in data:
val = rawrow[valuecol.dataindex]
# skip empty result values which are not explicitly zero
if val is None or val == '':
continue
if valmax:
normalized = float(val - valmin) / float(valmax - valmin)
marker_size = 5 + normalized * 20
else:
marker_size = 5
if keycol:
key = rawrow[keycol.dataindex]
# XXXCJ - this is a hack for NetProfiler based host groups,
# need to generalize this, probably via options
if widget.table().options.get('groupby') == 'host_group':
try:
geo = Location.objects.get(name=key)
except ObjectDoesNotExist:
continue
else:
# Perform geolookup on the key
# (should be an IP address...)
if geolookup is None:
geolookup = LookupIP.instance()
geo = geolookup.lookup(key)
if geo:
# Found a match, create a Circle
url = rawrow[urlcol.dataindex] if urlcol else None
circle = Circle(title=geo.name,
lat=geo.latitude,
long=geo.longitude,
value=val,
size=marker_size,
units=valuecol.col.units_str(),
formatter=formatter,
url=url)
circles.append(circle)
else:
# use lat/long columns instead of lookups
lat = rawrow[latcol.dataindex]
long = rawrow[longcol.dataindex]
title = rawrow[labelcol.dataindex] if labelcol else val
url = rawrow[urlcol.dataindex] if urlcol else None
circle = Circle(title=title,
lat=lat,
long=long,
value=val,
size=marker_size,
units=valuecol.col.units_str(),
formatter=formatter,
url=url)
circles.append(circle)
else:
# no data just return empty circles list
pass
data = {
"chartTitle": widget.title.format(**job.actual_criteria),
"circles": circles,
"minbounds": widget.options.min_bounds
}
return post_process(data)