def monitor_query():
term = request.get_json()
if term.has_key('keywords'):
keywords = term['keywords']
else:
keywords = []
if term.has_key('user'):
user = term['user']
else:
user = '******'
if term.has_key('from_ts'):
from_ts = datehour2ts(term['from_ts'])
else:
from_ts = time.time()
if term.has_key('to_ts'):
to_ts = datehour2ts(term['to_ts'])
else:
if term.has_key('to_num'):
to_num = term['to_num']
else:
to_num = 6
to_ts = from_ts - to_num * 3600
if term.has_key('page'):
page = term['page']
else:
page = 1
results = query_monitor(keywords=keywords,
user=user,
from_ts=from_ts,
to_ts=to_ts)
content = []
for item in results:
item_dict = {}
item_dict['task_name'] = item["_source"]['task_name']
item_dict['start_time'] = ts2datetime_full(
float(item["_source"]['from_date']))
item_dict['end_time'] = ts2datetime_full(
float(item["_source"]['to_date']))
item_dict['create_user'] = item["_source"]['create_user']
item_dict['event_detail'] = item["_source"]['event_detail']
item_dict['create_at'] = ts2datetime_full(
float(item["_source"]['create_at']))
item_dict['delete'] = item["_source"]['delete']
item_dict['processing_status'] = item["_source"]['processing_status']
item_dict['weixin_stat'] = item["_source"]['weixin_count']
item_dict['xinwen_stat'] = item["_source"]['baidunews_count']
item_dict['weibo_stat'] = item["_source"]['weibo_count']
content.append(item_dict)
return_results = dict()
return_results['page_count'] = len(results)
return_results['list'] = content[5 * (page - 1):5 * page]
return json.dumps(return_results)
def map_calculate():
term = request.get_json()
if term.has_key('keywords'):
keywords = term['keywords']
else:
keywords = []
if term.has_key('sort'):
sort = term['sort']
else:
sort = 'heat'
if term.has_key('place'):
place = term['place']
else:
place = '*'
if term.has_key('from_ts'):
from_ts = datehour2ts(term['from_ts'])
else:
from_ts = time.time()
if term.has_key('to_ts'):
to_ts = datehour2ts(term['to_ts'])
else:
if term.has_key('to_num'):
to_num = term['to_num']
else:
to_num = 180
to_ts = from_ts-to_num*3600*24
if term.has_key('page'):
page = term['page']
else:
page = 1
results, count_mid, province_dict, city_dict = query_sensing(keywords=keywords, place=place, sort=sort, from_ts=from_ts, to_ts=to_ts)
content = []
for item in results:
item_dict = {}
item_dict['name'] = item["_source"]['uid']
item_dict['date'] = ts2datetime_full(item["_source"]['timestamp'])
item_dict['initiator'] = item["_source"]['initiator']
item_dict['heat'] = item["_source"]['heat']
item_dict['geo'] = item["_source"]['geo']
item_dict['keywords_string'] = item["_source"]['keywords_string']
item_dict['status'] = item["_source"]['status']
content.append(item_dict)
return_results = dict()
return_results['event_count'] = count_mid
return_results['place_count'] = len(province_dict)
return_results['color'] = city_dict
return_results['list'] = content[5*(page-1):5*page]
print count_mid, province_dict, city_dict
return json.dumps(return_results)