from tasks import insert, maxmin
import lm35_1
import time
import json
while True:
insert.delay('lm35_1', lm35_1.sensing())
time.sleep(1)
result = maxmin.delay('lm35_1')
tmp = json.loads(result.get())
#print(tmp)
print(f'Heap : {tmp[0]}')
print(f'Large :{tmp[1]} / Small : {tmp[2]}')
print('-------------------------')
time.sleep(1)
except OSError as err:
print(f"OS error: {err}")
dic = {}
length = 20
tmp = df.head(length)
names = []
for i in tmp:
names.append(i)
names = names[2:]
test_tmp = [
1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20
]
for i in names:
dic[i] = list(test_tmp)
for i in range(length):
for j in names:
insert.delay(j, dic[j][i])
time.sleep(1)
for j in names:
tmp = json.loads(maxmin.delay(j).get())
print(
f'sensor_name:{j} \t Large: {tmp[1]} / Small: {tmp[2]} / Avg: {tmp[3]}'
)
#print(f'sensor_name:{j} \t {json.loads(maxmin.delay(j).get())[0]}')
print('-----------------------')
time.sleep(5)
args = parse_argument()
if (args.command == 'insert'):
cnt = 0
while cnt < 20:
date = int(datetime.now().strftime('%Y%m%d%H%M%S%f')[:19])
dname = args.testfile
if dname == None:
print('Error: Filename is None')
exit()
data = lm35_1.sensing()
doc = {"date": date, "dev_name": dname, "data": data}
print(doc)
insert.delay(doc)
cnt += 1
print(f'insert data count : {cnt}')
def TF(s):
if s == None:
return None
elif s.lower() == 'false':
return False
return True
if (args.command == 'find'):
args.status = TF(args.status)
result = find.delay(args.status)
doc = {
"date": int(datetime.now().strftime('%Y%m%d%H%M%S%f')[:19]),
"dev_name": dname,
"data": data
}
return doc
while True:
time.sleep(1)
if cnt > length_max - 1:
del heap[heap.index((lookup.pop(0), cnt - length_max))]
data = lm35_1.sensing()
lookup.append(data)
heapq.heappush(heap, (data, cnt))
insert.delay(make_doc('lm35_1', data))
cnt += 1
print(
f'max ={heapq.nlargest(1,heap)[0][0]}, min ={heapq.nsmallest(1,heap)[0][0]}'
)
print(heap)
print(lookup)
print('--------------')
while True:
time.sleep(1)
if cnt > length_max - 1:
del heap[heap.index((lookup.pop(0), cnt - length_max))]
data = lm35_1.sensing()
lookup.append(data)
heapq.heappush(heap, (data, cnt))