def predictCheckThread():
print(datetime.datetime.now(), ": Check Predicted Numbers")
thisTime = GlobalMethod.getthisTime()
# 이번 예상 번호가 없으면,없을경우 false
if not (helpers.check_predictedData(thisTime)):
# 로또 origin 데이터 먼저 받았는지 확인
GlobalMethod.db_checkOriginData(thisTime - 1)
# 예상번호 생성
result = {}
for i in numsList:
result[i] = Lotto.getPredict(i)
result = json.dumps(result)
helpers.add_predictedData(thisTime, datetime.datetime.now(),
Lotto.learning_rate, Lotto.steps, result)
# 한번 더 검사
if not (helpers.check_predictedData(thisTime)):
print("scripts-init Error")
quit()
# 1시간마다 가동
threading.Timer(3600, predictCheckThread).start()
def api_nums10():
today = str(GlobalMethod.getToday())
dDay = str(GlobalMethod.getDDay())
thisTime = str(GlobalMethod.getthisTime())
data = str(helpers.dbGetPredictedData(thisTime, 10))
return jsonify(today=today, dDay=dDay, thisTime=thisTime
, data=data)
# -*- coding:utf-8 -*-
import tensorflow.compat.v1 as tf
import numpy as np
import datetime, ssl
from items import GlobalMethod
from scripts import helpers
tf.disable_v2_behavior()
today = GlobalMethod.getToday()
dDay = GlobalMethod.getDDay()
thisTime = GlobalMethod.getthisTime()
learning_rate = 0.05
steps = 10000
# nums받으면 회차 구해주기
def numsToTimeAndDays(nums):
# 원하는 숫자만큼 회차로
if nums == 1000: nums = thisTime - 1
timeResult = []
daysResult = []
for i in range(nums):
timeResult.append(thisTime - (i + 1))
daysResult.append((dDay - datetime.timedelta(weeks=i + 1)).isoformat())
return [timeResult, daysResult]