def GET(self, resp=''):
lugares = [
'recamara_principal', 'sala', 'estudiof', 'cocina', 'hall_entrada',
'patio', 'exterior'
]
apps_mon = ['app_doorlight', 'app_autolight', 'app_doorbell']
out = []
for lugar in lugares:
temp = r.hget('temperature', lugar).decode('utf-8')
if (float(temp) != 0):
out.append((lugar, 'Temperatura', temp))
#for lugar in lugares:
# temp = r.hget('temperature', lugar).decode('utf-8')
# if(float(temp) != 0):
# out.append((lugar, 'Temperatura', temp))
for lugar in lugares:
humd = r.hget('humidity', lugar).decode('utf-8')
if (float(humd) != 0):
out.append((lugar, 'Humedad', humd))
for lugar in lugares:
motion = r.hget('motion', lugar).decode('utf-8')
if (motion == 'True'):
out.append((lugar, 'Movimiento', motion))
kw = r.hget('power usage', 'ct kW').decode('utf-8')
out.append(('casa', 'Consumo (kW)', kw))
amps = r.hget('power usage', 'ct A').decode('utf-8')
out.append(('casa', 'Consumo (A)', kw))
riego = r.get('riego').decode('utf8')
out.append(('patio', 'Riego por goteo', riego))
try:
dist = r.get('Nivel cisterna').decode('utf8')
out.append(('cisterna', 'Nivel', dist))
except:
pass
for appname in apps_mon:
app_status = r.hget('apps', appname).decode('utf-8')
out.append(('app', appname, app_status))
# con2 = lite.connect('/Volumes/mmshared/bdatos/ultimas.db')
# with con2:
# cur = con2.cursor()
# commandx = "SELECT timestamp, medicion, valor from Status WHERE lugar = 'global' ORDER BY medicion" # OR (lugar='tv' AND medicion='temperature') "
# #commandx = "SELECT timestamp,medicion,valor,lugar from Status ORDER BY lugar, medicion "
# res = cur.execute(commandx)
tabla = HTML.table(out).split('\n')
tabla2 = " ".join(tabla[1:(len(tabla) - 1)])
tabla3 = "<table class='table table-striped lead'>" + tabla2 + "</table>"
# con2.close()
# return tabla3
return tabla3
def get_category():
try:
list_product_names = list(request.get_json())
output_list = []
for product_name_dict in list_product_names:
app.logger.info("Request received {}".format(product_name_dict))
results = {}
results_cache = ''
product_name = product_name_dict.get('product_name', "")
if product_name:
product_name_clean = (re.sub(ALPHA_NUM_REGEX, '',
product_name)).lower()
product_name_key = 'catfight:' + ':' + product_name_clean
results_cache = r.get(product_name_key)
if not results_cache:
results = predict_category(
product_name.encode('ascii', 'ignore'), cat_model,
dang_model, app.logger)
if results:
r.setex(product_name_key, json.dumps(results),
CACHE_EXPIRY)
results['cached'] = False
else:
results = json.loads(results_cache)
results['cached'] = True
else:
results['invalid_product_name'] = True
results['waybill'] = product_name_dict.get('wbn', None)
app.logger.info("Result produced {}".format(results))
output_list.append(results)
return Response(json.dumps(output_list), mimetype='application/json')
except Exception as err:
app.logger.error('Exception {} occurred against payload: {}'.format(
err, list_product_names))
sentry_client.captureException(message="predict.py: Exception occured",
extra={
"error": err,
"payload": list_product_names
})
def get_category():
try:
list_product_names = list(request.get_json())
output_list = []
for product_name_dict in list_product_names:
app.logger.info("Request received {}".format(product_name_dict))
results = {}
results_cache = ''
product_name = product_name_dict.get('product_name', "")
if product_name:
product_name_clean = (re.sub(ALPHA_NUM_REGEX, '', product_name)).lower()
product_name_key = 'catfight:' +':' + product_name_clean
results_cache = r.get(product_name_key)
if not results_cache:
results = predict_category(product_name.encode('ascii','ignore'),
cat_model, dang_model, app.logger)
if results:
r.setex(product_name_key, json.dumps(results), CACHE_EXPIRY)
results['cached'] = False
else:
results = json.loads(results_cache)
results['cached'] = True
else:
results['invalid_product_name'] = True
results['waybill'] = product_name_dict.get('wbn', None)
app.logger.info("Result produced {}".format(results))
output_list.append(results)
return Response(json.dumps(output_list), mimetype='application/json')
except Exception as err:
app.logger.error(
'Exception {} occurred against payload: {}'.format(
err, list_product_names))
sentry_client.captureException(
message = "predict.py: Exception occured",
extra = {"error" : err, "payload" : list_product_names})
def process_product(product_name_dict, cat_model, dang_model, logger):
results = {}
results_cache = ''
product_name = product_name_dict.get('prd', "")
if product_name:
final_result = {}
original_dict = copy.deepcopy(product_name_dict)
product_name_clean = (re.sub(ALPHA_NUM_REGEX, '',
product_name)).lower()
product_name_key = 'catfight:' + ':' + product_name_clean
results_cache = r.get(product_name_key)
wbn = product_name_dict.get('wbn', "")
if not results_cache:
results = predict_category(product_name.encode('ascii', 'ignore'),
wbn, cat_model, dang_model, logger)
if results:
r.setex(product_name_key, json.dumps(results), CACHE_EXPIRY)
results['cached'] = False
else:
results = json.loads(results_cache)
l_product_name = product_name.lower()
product_words = re.findall(CLEAN_PRODUCT_NAME_REGEX,
l_product_name)
clean_product_name = " ".join(product_words)
first_level = results['cat']
dg_report = predict_dangerous(clean_product_name, wbn, first_level,
dang_model.dg_keywords, logger)
results['dg'] = dg_report['dangerous']
results['cached'] = True
else:
results['invalid_product_name'] = True
final_result = original_dict
final_result['result'] = results
return final_result
def process_product(product_name_dict, cat_model, dang_model, logger):
results = {}
results_cache = ''
product_name = product_name_dict.get('prd', "")
if product_name:
final_result = {}
original_dict = copy.deepcopy(product_name_dict)
product_name_clean = (re.sub(ALPHA_NUM_REGEX, '', product_name)).lower()
product_name_key = 'catfight:' +':' + product_name_clean
results_cache = r.get(product_name_key)
wbn = product_name_dict.get('wbn', "")
if not results_cache:
results = predict_category(product_name.encode('ascii','ignore'),
wbn, cat_model, dang_model, logger)
if results:
r.setex(product_name_key, json.dumps(results), CACHE_EXPIRY)
results['cached'] = False
else:
results = json.loads(results_cache)
l_product_name = product_name.lower()
product_words = re.findall(CLEAN_PRODUCT_NAME_REGEX, l_product_name)
clean_product_name = " ".join(product_words)
first_level = results['cat']
dg_report = predict_dangerous(clean_product_name, wbn, first_level,
dang_model.dg_keywords, logger)
results['dg'] = dg_report['dangerous']
results['cached'] = True
else:
results['invalid_product_name'] = True
final_result = original_dict
final_result['result'] = results
return final_result
def redis_retrieve_split(index, ip, site):
return r.get(index + '-' + ip + '-' + site)
def redis_get_benchmark_recent_site(config_id, mode):
"""
Gets the cached benchmark recently made history log entry for the mode required.
"""
return r.get(config_id + '-' + mode)
#!/usr/bin/env python3
from settings import r
import sys
import time
import redis
if __name__ == '__main__':
r.set('lab', 'sjtu-medialab')
print(r.get('lab'))
job_id = 0
socket_id = 0
topic = "JOB_FINISH"
while True:
r.publish(topic, str(job_id))
job_id += 1
time.sleep(2)
