def data_weather():
city_name = g.city_name
history_client = History.factory()
history_city = history_client.get_city_by_name(city_name)
weather_client = Weather.factory()
weather_city = weather_client.get_city_by_name(city_name)
if not weather_city:
return u'暂时不支持此城市的AQI数据查询'
today = time.strftime("%Y-%m-%d", time.localtime())
day7_dt = datetime.datetime.now() - datetime.timedelta(days=7)
day7 = day7_dt.strftime("%Y-%m-%d")
page = request.args.get('page', 1, type=int)
date_start = request.args.get('date_start', default=day7)
date_end = request.args.get('date_end', default=today)
condition = {
'city_name': city_name,
'date_start': date_start,
'date_end': date_end
}
weather_client = Weather.factory()
info = weather_client.search_day(condition, page, 31)
# print json.dumps(dict(info), indent=7, ensure_ascii=False)
# print str(info)
info['pages'] = min(7, info['pages'])
data = dict()
data['current_page'] = 'data'
data['date_start'] = date_start
data['date_end'] = date_end
data['history_city'] = history_city
data['weather_city'] = weather_city
data['req_args'] = dict(request.args.items())
data['info'] = info
data['page'] = page
return render_template('data/weather.html', **data)
def data_index():
city_name = g.city_name
history_client = History.factory()
history_city = history_client.get_city_by_name(city_name)
weather_client = Weather.factory()
weather_city = weather_client.get_city_by_name(city_name)
crawl_client = Crawl.factory()
if request.method == 'POST':
job_id = request.form.get('job_id', default=0)
if not job_id:
return json.dumps({'status': False, 'message': u'没有任务id!'})
job_info = crawl_client.get_job_info_by_id(job_id)
if not job_info:
return json.dumps({'status': False, 'message': u'没有任务信息!'})
if 'city_name' not in job_info or job_info['city_name'] != city_name:
return json.dumps({'status': False, 'message': u'此城市没有任务信息!'})
# scrapy crawl aqistudy -a city_name=上海 -a month=2017-01
sp = Spider.factory()
m = job_info['job_month']
if int(m) < 10:
m = '0' + str(m)
month = str(job_info['job_year']) + '-' + str(m)
result = sp.schedule_job(spider=job_info['job_spider'],
setting=[],
jobid=job_id,
city_name=city_name,
month=month)
if not result:
return json.dumps({'status': False, 'message': u'启动任务失败!'})
return json.dumps({'status': True, 'message': u'启动任务成功!'})
current = datetime.datetime.now()
job_list = crawl_client.get_job_list(city_name, current.year,
current.month)
# print job_list
data = dict()
data['current_page'] = 'data'
data['history_city'] = history_city
data['weather_city'] = weather_city
data['req_args'] = dict(request.args.items())
data['job_list'] = job_list
return render_template('data/index.html', **data)
def report_weather_trend():
city_name = g.city_name
today = time.strftime("%Y-%m-%d", time.localtime())
day7_dt = datetime.datetime.now() - datetime.timedelta(days=7)
day7 = day7_dt.strftime("%Y-%m-%d")
date_start = request.args.get('date_start', default=day7)
date_end = request.args.get('date_end', default=today)
condition = {
'city_name': city_name,
'date_start': date_start,
'date_end': date_end
}
weather_client = Weather.factory()
weather_all = weather_client.all_day(condition)
weather_am_types = weather_client.total_types(condition, 'weather_am')
weather_pm_types = weather_client.total_types(condition, 'weather_pm')
weather_am_wind_types = weather_client.total_types(condition,
'weather_am_wind_type')
weather_pm_wind_types = weather_client.total_types(condition,
'weather_pm_wind_type')
weather_am_level_types = weather_client.total_types(
condition, 'weather_am_wind_level')
weather_pm_level_types = weather_client.total_types(
condition, 'weather_pm_wind_level')
for weather in weather_all:
weather['weather_am_index'] = weather_am_types.index(
weather['weather_am'])
weather['weather_pm_index'] = weather_pm_types.index(
weather['weather_pm'])
weather['weather_am_wind_index'] = weather_am_wind_types.index(
weather['weather_am_wind_type'])
weather['weather_pm_wind_index'] = weather_pm_wind_types.index(
weather['weather_pm_wind_type'])
weather['weather_am_level_index'] = weather_am_level_types.index(
weather['weather_am_wind_level'])
weather['weather_pm_level_index'] = weather_pm_level_types.index(
weather['weather_pm_wind_level'])
data = dict()
data['current_page'] = 'report'
data['req_args'] = dict(request.args.items())
data['weather_all'] = weather_all
data['city_name'] = city_name
data['date_start'] = date_start
data['date_end'] = date_end
return render_template('report/weather_trend.html', **data)
def report_index():
city_name = g.city_name
today = time.strftime("%Y-%m-%d", time.localtime())
day7_dt = datetime.datetime.now() - datetime.timedelta(days=7)
day7 = day7_dt.strftime("%Y-%m-%d")
date_start = request.args.get('date_start', default=day7)
date_end = request.args.get('date_end', default=today)
condition = {
'city_name': city_name,
'date_start': date_start,
'date_end': date_end
}
weather_client = Weather.factory()
weather_am = weather_client.total_weather(condition, 'weather_am')
weather_pm = weather_client.total_weather(condition, 'weather_pm')
# print weather_am
# print weather_pm
weather_am_wind_type = weather_client.total_weather(
condition, 'weather_am_wind_type')
weather_pm_wind_type = weather_client.total_weather(
condition, 'weather_pm_wind_type')
weather_am_wind_level = weather_client.total_weather(
condition, 'weather_am_wind_level')
weather_pm_wind_level = weather_client.total_weather(
condition, 'weather_pm_wind_level')
data = dict()
data['current_page'] = 'report'
data['req_args'] = dict(request.args.items())
data['weather_am'] = weather_am
data['weather_pm'] = weather_pm
data['weather_am_wind_type'] = weather_am_wind_type
data['weather_pm_wind_type'] = weather_pm_wind_type
data['weather_am_wind_level'] = weather_am_wind_level
data['weather_pm_wind_level'] = weather_pm_wind_level
data['city_name'] = city_name
data['date_start'] = date_start
data['date_end'] = date_end
return render_template('report/index.html', **data)
def city_index():
city_name = g.city_name
weather_client = Weather.factory()
name = request.args.get('name', default='')
if name:
city_info = weather_client.get_city_by_name(name)
# print city_info
if city_info:
session['city_name'] = city_info['city_name']
return redirect('/?city=%s' % city_info['city_name'])
cities = weather_client.get_group_weather_city()
data = dict()
data['current_page'] = 'city'
data['city_name'] = city_name
data['req_args'] = dict(request.args.items())
data['cities'] = cities
return render_template('city.html', **data)
def learn_index():
city_name = g.city_name
today = time.strftime("%Y-%m-%d", time.localtime())
day7_dt = datetime.datetime.now() - datetime.timedelta(days=7)
day7 = day7_dt.strftime("%Y-%m-%d")
date_start = request.args.get('date_start', default=day7)
date_end = request.args.get('date_end', default=today)
history = request.args.get('history', default=1, type=int)
weather = request.args.get('weather', default=1, type=int)
condition = {
'city_name': city_name,
'date_start': date_start,
'date_end': date_end
}
history_client = History.factory()
weather_client = Weather.factory()
history_count = 0
weather_count = 0
if history == 1:
history_count = history_client.count_history(condition)
if weather == 1:
weather_count = weather_client.count_weather(condition)
data = dict()
data['current_page'] = 'learn'
data['req_args'] = dict(request.args.items())
data['city_name'] = city_name
data['date_start'] = date_start
data['date_end'] = date_end
data['history'] = history
data['weather'] = weather
data['history_count'] = history_count
data['weather_count'] = weather_count
return render_template('learn/index.html', **data)
from core.weather import Weather
city = input("Enter your city (Ribeirão Preto): ")
country = input("Enter your country code (BR).: ")
if(not city):
city = "Ribeirão Preto"
if(not country):
country = "BR"
print("\nAguarde...")
weather = Weather(city,country)
days = weather.average_day_humidity()
print("Humidity probability: \n")
for day in days:
print(weather.humidity_probalility(day, days.get(day)))
def learn_step2():
city_name = g.city_name
today = time.strftime("%Y-%m-%d", time.localtime())
day7_dt = datetime.datetime.now() - datetime.timedelta(days=7)
day7 = day7_dt.strftime("%Y-%m-%d")
date_start = request.args.get('date_start', default=day7)
date_end = request.args.get('date_end', default=today)
history = request.args.get('history', default=1, type=int)
weather = request.args.get('weather', default=1, type=int)
day_num = request.args.get('day_num', default=1, type=int)
condition = {
'city_name': city_name,
'date_start': date_start,
'date_end': date_end
}
history_client = History.factory()
weather_client = Weather.factory()
history_count = 0
weather_count = 0
if history == 1:
history_count = history_client.count_history(condition)
if weather == 1:
weather_count = weather_client.count_weather(condition)
if request.method == 'POST':
histories = request.form.getlist('histories[]')
weathers = request.form.getlist('weathers[]')
# print histories, weathers
if not histories and not weathers:
return json.dumps({'status': False, 'message': u'请您勾选特征数据类型!'})
if history_count < 1 and weather_count < 1:
return json.dumps({
'status': False,
'message': u'选定的日期内没有数据,请返回上一步重新选择!'
})
if (history_count + weather_count) < 7:
return json.dumps({
'status': False,
'message': u'数据至少应该有7条(天)以上才能进行机器学习!'
})
learn_client = Learn.factory()
job_id = learn_client.create_job({
'learn_status': Learn.JOB_READY,
'city_name': city_name,
'date_start': date_start,
'date_end': date_end,
'history': history,
'weather': weather,
'histories': json.dumps(histories),
'weathers': json.dumps(weathers),
'target': 'PM25',
'day_num': day_num
})
if not job_id:
return json.dumps({'status': False, 'message': u'建立机器学习任务失败!'})
return json.dumps({'status': True, 'message': job_id})
data = dict()
data['current_page'] = 'learn'
data['req_args'] = dict(request.args.items())
data['city_name'] = city_name
data['date_start'] = date_start
data['date_end'] = date_end
data['history'] = history
data['weather'] = weather
data['history_count'] = history_count
data['weather_count'] = weather_count
return render_template('learn/step2.html', **data)