def save_predict_history():
logger.info('开始保存预测记录')
data = predict()
data.pop('world')
dic = {}
for area, results in data.items():
for r in results:
r['area'] = area
if r['date'] in dic:
dic[r['date']].append(r)
else:
dic[r['date']] = [r]
insert_data = {}
for date, ret in dic.items():
items = {}
for i in ret:
area = i.pop('area')
items[area] = i
insert_data[date] = items
for k, v in insert_data.items():
if k == today:
forcast_result = json.dumps(v,
ensure_ascii=False,
cls=CJsonEncoder)
nCoV_dxy.update_one(
{'date': today.strftime('%m.%d')},
{'$set': {
'forcast_result': json.loads(forcast_result)
}})
logger.info('保存历史预测完成')
break
def ncov_task3():
'''
23:58执行保存当天预测数据
:return:
'''
print(
f'[{datetime.datetime.now().strftime("%Y-%m-%d %H:%M:%S")}] save_predict_history'
)
logger.info(
f'[{datetime.datetime.now().strftime("%Y-%m-%d %H:%M:%S")}] save_predict_history'
)
tasks.save_predict_history()
def ncov_task2():
'''
9:58分执行丁香园疫情数据抓取
:return:
'''
print(
f'[{datetime.datetime.now().strftime("%Y-%m-%d %H:%M:%S")}] crawl_dxy'
)
logger.info(
f'[{datetime.datetime.now().strftime("%Y-%m-%d %H:%M:%S")}] crawl_dxy'
)
tasks.crawl_dxy()
def ncov_task1():
'''
定时更新dxy全国全国数据
:return:
'''
print(
f'[{datetime.datetime.now().strftime("%Y-%m-%d %H:%M:%S")}] update_overall'
)
logger.info(
f'[{datetime.datetime.now().strftime("%Y-%m-%d %H:%M:%S")}] update_overall'
)
tasks.update_overall_timed()
def save_predict_history_remedial():
'''
当前一天的历史记录保存失败时
:return:
'''
import requests
res = requests.get(
'https://innovaapi.aminer.cn/covid/api/v1/pneumonia/prediction')
# with open('prediction.json', 'w') as f:
# f.write(res.text)
logger.info('开始保存预测记录')
data = res.json()['data']
data.pop('world')
dic = {}
for area, results in data.items():
for r in results:
r['area'] = area
if r['date'] in dic:
dic[r['date']].append(r)
else:
dic[r['date']] = [r]
insert_data = {}
for date, ret in dic.items():
items = {}
for i in ret:
area = i.pop('area')
items[area] = i
insert_data[date] = items
insert_time = today + timedelta(days=-1)
insert_time_str = insert_time.strftime('%Y-%m-%d')
for k, v in insert_data.items():
if k <= insert_time_str:
if nCoV_dxy.find_one({
'date': '.'.join(k.split('-')[1:]),
'forcast_result': {
'$exists': False
}
}):
print(k)
forcast_result = json.dumps(v,
ensure_ascii=False,
cls=CJsonEncoder)
print(forcast_result)
nCoV_dxy.update_one(
{'date': '.'.join(k.split('-')[1:])},
{'$set': {
'forcast_result': json.loads(forcast_result)
}})
logger.info('保存历史预测完成')
def dojob():
# 创建调度器：BlockingScheduler
scheduler = BlockingScheduler()
# 添加任务,时间间隔2S
now = datetime.datetime.now()
new_time = now.replace(hour=now.hour + 1, minute=1)
scheduler.add_job(ncov_task1,
'interval',
minutes=60,
id='update_overall',
next_run_time=new_time)
# 添加任务,时间间隔5S
scheduler.add_job(ncov_task2, 'cron', hour=9, minute=58, id='crawl_dxy')
scheduler.add_job(ncov_task3,
'cron',
hour=18,
minute=30,
id='save_predict')
# scheduler.add_listener(my_listener, EVENT_JOB_EXECUTED|EVENT_JOB_ERROR)
# scheduler._logger = logging.getLogger('task')
logger.info('scheduler start ')
scheduler.start()
def my_listener(event):
if event.exception:
logger.info(event.job_id)
logger.info(event.exception)
em = EmailTools(sender_name, sender_url, sender_pwd, receiver_name,
receiver_urls, smtp)
em.send_email(f'{event.job_id}: \n{event.exception}', '定时任务错误')
else:
logger.info(f'{event.job_id}: 正常进行')
if event.job_id == 'crawl_dxy' or event.job_id == 'save_predict':
em = EmailTools(sender_name, sender_url, sender_pwd, receiver_name,
receiver_urls, smtp)
em.send_email(f'{event.job_id}: \n执行成功！！！', '定时任务成功')
def crawl_dxy():
logger.info("抓取丁香园")
yesterday = (date.today() + timedelta(days=-1)).strftime('%m.%d')
crawler = Crawler()
# overall, area = crawler.crawler(True)
count = 0
overall, area = {}, {}
while count < 20:
overall, area = crawler.crawler(crawl=True)
if overall:
logger.info('抓取成功')
break
time.sleep(3)
logger.error('失败重试')
count += 1
yesterday_data = nCoV_dxy.find_one({'date': yesterday})
if overall and area:
province_dic = {}
cities_dic = {}
if yesterday_data:
yesterday_area = yesterday_data['area']
for ya in yesterday_area:
province_dic[ya['provinceName']] = ya
for yc in ya['cities']:
cities_dic[f"{ya['provinceName']}_{yc['cityName']}"] = yc
if province_dic and cities_dic:
for ta in area:
if ta['provinceName'] in province_dic:
ta['confirmedAddCount'] = ta[
'confirmedCount'] - province_dic[
ta['provinceName']]['confirmedCount']
ta['suspectedAddCount'] = ta[
'suspectedCount'] - province_dic[
ta['provinceName']]['suspectedCount']
ta['curedAddCount'] = ta['curedCount'] - province_dic[
ta['provinceName']]['curedCount']
ta['deadAddCount'] = ta['deadCount'] - province_dic[
ta['provinceName']]['deadCount']
for tc in ta['cities']:
if f"{ta['provinceName']}_{tc['cityName']}" in cities_dic:
tc['confirmedAddCount'] = tc['confirmedCount'] - \
cities_dic[f"{ta['provinceName']}_{tc['cityName']}"][
'confirmedCount']
tc['suspectedAddCount'] = tc['suspectedCount'] - \
cities_dic[f"{ta['provinceName']}_{tc['cityName']}"][
'suspectedCount']
tc['curedAddCount'] = tc['curedCount'] - \
cities_dic[f"{ta['provinceName']}_{tc['cityName']}"]['curedCount']
tc['deadAddCount'] = tc['deadCount'] - cities_dic[
f"{ta['provinceName']}_{tc['cityName']}"][
'deadCount']
hubei_confirm = area[0]['confirmedCount']
nohubei_confirm = sum([i['confirmedCount'] for i in area[1:]])
nohuei_cureCount = sum([i['curedCount'] for i in area[1:]])
nohuei_cureIncr = sum([i['curedAddCount'] for i in area[1:]])
data = {}
data['overall'] = overall
data['overall_new'] = overall
data['area'] = area
data['hubei_confirm'] = hubei_confirm
data['nohubei_confirm'] = nohubei_confirm
data['nohubei_cureCount'] = nohuei_cureCount
data['nohubei_cureIncr'] = nohuei_cureIncr
data['hubei_cureCount'] = area[0]['curedCount']
data['hubei_cureIncr'] = area[0]['curedAddCount']
data['date'] = datetime.now().strftime('%m.%d')
data['save_time'] = datetime.now().strftime('%Y-%m-%d %H:%M:%S')
data['source'] = 'dxy'
exists = nCoV_dxy.find_one(
{'date': datetime.now().strftime('%m.%d')})
if exists:
if 'overall_new' in data:
data.pop('overall_new')
nCoV_dxy.update_one({'date': datetime.now().strftime('%m.%d')},
{'$set': data})
else:
nCoV_dxy.insert_one(data)
logger.info("丁香园抓取完成")
def update_overall_timed():
logger.info("更新实时数据")
crawler = Crawler()
count = 0
overall, area = {}, {}
while count < 20:
overall, area = crawler.crawler(crawl=True)
if overall:
logger.info('抓取成功')
break
time.sleep(3)
logger.error('失败重试')
count += 1
today = datetime.now().strftime('%m.%d')
t_data = nCoV_dxy.find_one({'date': today})
if overall and area and t_data:
if 'area' in t_data:
province_dic = {}
cities_dic = {}
for ya in t_data['area']:
province_dic[ya['provinceName']] = ya
for yc in ya['cities']:
cities_dic[f"{ya['provinceName']}_{yc['cityName']}"] = yc
if province_dic and cities_dic:
for ta in area:
if ta['provinceName'] in province_dic:
ta['confirmedAddCount'] = province_dic[
ta['provinceName']]['confirmedAddCount']
ta['suspectedAddCount'] = province_dic[
ta['provinceName']]['suspectedAddCount']
ta['curedAddCount'] = province_dic[
ta['provinceName']]['curedAddCount']
ta['deadAddCount'] = province_dic[
ta['provinceName']]['deadAddCount']
for tc in ta['cities']:
if f"{ta['provinceName']}_{tc['cityName']}" in cities_dic:
tc['confirmedAddCount'] = cities_dic[
f"{ta['provinceName']}_{tc['cityName']}"].get(
'confirmedAddCount', '')
tc['suspectedAddCount'] = cities_dic[
f"{ta['provinceName']}_{tc['cityName']}"].get(
'suspectedAddCount', '')
tc['curedAddCount'] = cities_dic[
f"{ta['provinceName']}_{tc['cityName']}"].get(
'curedAddCount', '')
tc['deadAddCount'] = cities_dic[
f"{ta['provinceName']}_{tc['cityName']}"].get(
'deadAddCount', '')
nCoV_dxy.update_one(
{'date': today},
{'$set': {
'overall_new': overall,
'area_new': area
}})
elif overall and area and not t_data:
nCoV_dxy.insert_one({
'date': today,
'overall_new': overall,
'area_new': area
})
logger.info('实时数据更新完成')
