def start_jobs_scheduler():
scheduler = Process(
target=_run_forever,
args=(run_scheduler, ),
)
scheduler.start()
return scheduler
def main():
itchat.auto_login(True)
scheduler = BlockingScheduler()
ask_birthday(scheduler)
scheduler.add_job(send_yuandan, 'date', run_date=datetime(2020, 1, 1))
scheduler.add_job(send_chuxi, 'date', run_date=datetime(2020, 1, 24))
scheduler.add_job(send_duanwu, 'date', run_date=datetime(2020, 6, 25))
scheduler.add_job(send_zhongqiu, 'date', run_date=datetime(2020, 10, 1))
scheduler.start()
def get_data():
time.sleep(2)
get_supertopic.get_supertopic()
# 定时任务，更新情感为中性的微博情感
# @register_job(scheduler, 'interval' , minutes=10, id='分析帖子情感', replace_existing=True)
# def get_sentiment():
# extract_blog_sentiment()
# 定时任务3，更新超话用户帖子总数、比较消极帖子数、非常消极贴子数及个人情感
# @register_job(scheduler, "cron", hour=20,minute=30,id='计算超话粉丝情感倾向及发帖次数', replace_existing=True)
# def get_creator_sentiment():
# cul_creator_sentiment()
register_events(scheduler) # 监控任务
scheduler.start() # 调度器开始
except Exception as e:
print(e)
scheduler.shutdown()
pass
def extract_blog_sentiment():
'''提取关键情感词'''
file_nocut = 'E:\\Sentiment\\sentiment\\dataset\\nocut.txt'
jieba.load_userdict(file_nocut)
df = pd.read_table("E:\\Sentiment\\sentiment\\dataset\\情感词.txt",
sep='\n',
header=None,
encoding='gbk')
df.columns = ['key']
from apscheduler.executors.pool import ThreadPoolExecutor, ProcessPoolExecutor
from sched import scheduler
import time
jobstores = {'default': MemoryJobStore()}
executors = {
'default': ThreadPoolExecutor(20),
'processpool': ProcessPoolExecutor(5)
}
job_defaults = {'coalesce': False, 'max_instances': 1}
scheduler = BackgroundScheduler(jobstores=jobstores,
executors=executors,
job_defaults=job_defaults,
timezone=utc)
scheduler.start()
def sampleFunc():
print("called: %s" % time.ctime())
scheduler.add_job(sampleFunc, 'interval', seconds=10)
from flask import Flask
app = Flask(__name__)
@app.route('/')
def hello_world():
return 'Hello, World!'