def _get_data(self):
data = {}
try:
for chip in sensors.ChipIterator():
prefix = sensors.chip_snprintf_name(chip)
for feature in sensors.FeatureIterator(chip):
sfi = sensors.SubFeatureIterator(chip, feature)
for sf in sfi:
val = sensors.get_value(chip, sf.number)
break
typeName = TYPE_MAP[feature.type]
if typeName in LIMITS:
limit = LIMITS[typeName];
if val < limit[0] or val > limit[1]:
continue
if 'temp' in str(feature.name.decode()):
data[prefix + "_" + str(feature.name.decode())] = int(self.calc(val) * 1000)
else:
data[prefix + "_" + str(feature.name.decode())] = int(val * 1000)
except Exception as e:
self.error(e)
return None
if len(data) == 0:
return None
return data
def _create_definitions(self):
for type in ORDER:
for chip in sensors.ChipIterator():
chip_name = sensors.chip_snprintf_name(chip)
if len(self.chips) != 0 and not any([chip_name.startswith(ex) for ex in self.chips]):
continue
for feature in sensors.FeatureIterator(chip):
sfi = sensors.SubFeatureIterator(chip, feature)
vals = [sensors.get_value(chip, sf.number) for sf in sfi]
if vals[0] == 0:
continue
if TYPE_MAP[feature.type] == type:
# create chart
name = chip_name + "_" + TYPE_MAP[feature.type]
if name not in self.order:
self.order.append(name)
chart_def = list(CHARTS[type]['options'])
chart_def[1] = chip_name + chart_def[1]
if chart_def[2] == 'Celsius':
chart_def[2] = self.choice[0]
self.definitions[name] = {'options': chart_def}
self.definitions[name]['lines'] = []
line = list(CHARTS[type]['lines'][0])
line[0] = chip_name + "_" + str(feature.name.decode())
line[1] = sensors.get_label(chip, feature)
self.definitions[name]['lines'].append(line)
def _get_data(self):
data = {}
try:
for chip in sensors.ChipIterator():
prefix = sensors.chip_snprintf_name(chip)
for feature in sensors.FeatureIterator(chip):
sfi = sensors.SubFeatureIterator(chip, feature)
for sf in sfi:
val = sensors.get_value(chip, sf.number)
break
data[prefix + "_" + str(feature.name.decode())] = int(val * 1000)
except Exception as e:
self.error(e)
return None
if len(data) == 0:
return None
return data
def _get_data(self):
data = {}
try:
for chip in sensors.ChipIterator():
prefix = sensors.chip_snprintf_name(chip)
for feature in sensors.FeatureIterator(chip):
sfi = sensors.SubFeatureIterator(chip, feature)
for sf in sfi:
val = sensors.get_value(chip, sf.number)
break
data[prefix + "_" + str(feature.name.decode())] = int(val *
1000)
except Exception as e:
self.error(e)
return None
if len(data) == 0:
return None
return data