def ajax_create_interfere_task():
# 创建成功返回["1"]
# 创建失败返回["0"]:提示有重复任务存在
finish = ["0"]
task_name = request.args.get('task_name', '') #
pinyin_task_name = pinyin.get(task_name.encode('utf-8'),
format='strip',
delimiter="_")
submit_user = request.args.get('submit_user', '*****@*****.**')
current_ts = int(time.time())
submit_time = request.args.get('submit_time', current_ts) #
start_time = request.args.get('start_time', "") #
stop_time = request.args.get('stop_time', "") #
remark = request.args.get('remark', '')
must_keywords = request.args.get('must_keywords', '') # &&&
should_keywords = request.args.get('should_keywords', '') #
sti_during = request.args.get("interfer_during", 3600)
task_detail = dict()
task_detail["stimulation_during"] = sti_during
task_detail["task_name"] = task_name
task_detail['pinyin_task_name'] = pinyin_task_name
task_detail["submit_user"] = submit_user
task_detail["stop_time"] = int(stop_time)
task_detail["start_time"] = int(start_time)
task_detail["update_time"] = int(submit_time)
task_detail["remark"] = remark
task_detail["must_keywords"] = must_keywords
task_detail["should_keywords"] = should_keywords
task_detail["submit_time"] = int(submit_time)
task_detail["finish"] = "0"
task_detail["scan_text_time"] = datehour2ts(ts2datehour(
float(submit_time)))
task_detail["scan_text_processing"] = "0" # 是否正在复制微博文本
task_detail["interfere_processing_status"] = "0"
task_detail["stimulation_processing_status"] = "0"
task_detail["interfere_finish"] = "0"
task_detail["stimulation_finish"] = "0"
task_detail["scan_text_finish"] = "0"
#print '62:::::::::'
exist_task = es_prediction.exists(index=index_manage_interfere_task,
doc_type=type_manage_interfere_task,
id=pinyin_task_name)
#print '64:::::',exist_task
if not exist_task:
es_prediction.index(index=index_manage_interfere_task,
doc_type=type_manage_interfere_task,
id=pinyin_task_name,
body=task_detail)
finish = ["1"]
# finish 0 已经存在 1 提交成功
return json.dumps(finish)
def ajax_create_prediction_task():
finish = ["0"]
task_name = request.args.get('task_name', '')
pinyin_task_name = pinyin.get(task_name.encode('utf-8'),
format='strip',
delimiter="_")
submit_user = request.args.get('submit_user', '*****@*****.**')
current_ts = int(time.time())
submit_time = request.args.get('submit_time', current_ts)
start_time = request.args.get('start_time', "")
stop_time = request.args.get('stop_time', "")
remark = request.args.get('remark', '')
#macro_during = request.args.get('macro_during', 3600)
micro_during = request.args.get("interfer_during", 3600)
must_keywords = request.args.get('must_keywords', '') # &&&
should_keywords = request.args.get('should_keywords', '')
print 'type::::stop_time', type(stop_time)
print stop_time
task_detail = dict()
task_detail["task_name"] = task_name
task_detail['pinyin_task_name'] = pinyin_task_name
task_detail["submit_user"] = submit_user
task_detail["stop_time"] = int(stop_time)
task_detail["start_time"] = int(start_time)
task_detail["remark"] = remark
task_detail["must_keywords"] = must_keywords
task_detail["should_keywords"] = should_keywords
task_detail["submit_time"] = int(submit_time)
#task_detail["macro_during"] = macro_during
task_detail["micro_during"] = micro_during
task_detail["finish"] = "0" # micro prediction finish
task_detail["scan_text_time"] = datehour2ts(ts2datehour(
float(submit_time))) - int(micro_during) # 上一次复制文本的时间
task_detail["scan_text_processing"] = "0" # 是否正在复制微博文本
task_detail["macro_value_finish"] = '0'
task_detail["macro_trendline_finish"] = '0'
exist_task = es_prediction.exists(index=index_manage_prediction_task,
doc_type=type_manage_prediction_task,
id=pinyin_task_name)
print 'exist_task::::::::;', exist_task
if not exist_task:
es_prediction.index(index=index_manage_prediction_task,
doc_type=type_manage_prediction_task,
id=pinyin_task_name,
body=task_detail)
finish = ["1"]
return json.dumps(finish)
def ajax_submit_event_task():
task_name = request.args.get('task_name', '')
pinyin_task_name = pinyin.get(task_name.encode('utf-8'),
format='strip',
delimiter='_')
submit_user = request.args.get('submit_user', '*****@*****.**')
current_ts = int(time.time())
submit_time = request.args.get('submit_time', current_ts)
start_time = request.args.get('start_time', '')
stop_time = request.args.get('stop_time', '')
must_keywords = request.args.get('must_keywords', '')
should_keywords = request.args.get('should_keywords', '')
task_detail = dict()
task_detail["task_name"] = task_name
task_detail['pinyin_task_name'] = pinyin_task_name
task_detail["submit_user"] = submit_user
task_detail["start_time"] = long(start_time)
print '36::::', task_detail["start_time"]
print '36::::', type(task_detail["start_time"])
task_detail["stop_time"] = long(stop_time)
task_detail["submit_time"] = int(submit_time)
task_detail["must_keywords"] = must_keywords
task_detail["should_keywords"] = should_keywords
task_detail["finish"] = "0"
task_detail["scan_text_finish"] = "0" # 是否正在复制微博文本
task_detail["event_value_finish"] = "0" # 事件分析状态
#event_value_finish
#事件是否计算完 0 未计算且未提交队列 1 已提交队列尚未计算 2 开始计算 3 计算完成
# finish: -1 weibo_counts\uid_counts -2 time -3 geo -4 network -5 sentiment
#index_name = "event_analysis_task_"+task_name
'''
exist_task = es.exists(index=index_manage_event_analysis, doc_type=type_manage_event_analysis, id=pinyin_task_name)
if not exist_task:
es.index(index=index_manage_event_analysis,doc_type=type_manage_event_analysis,id=pinyin_task_name, body=task_detail)
finish = ['submit_success']
else:
finish = ['already_exists']
return json.dumps(finish)
'''
try:
es.index(index=index_manage_event_analysis,doc_type=type_manage_event_analysis,id=pinyin_task_name, \
body=task_detail)
result = ["1"] #提交成功
except:
result = ["0"] #提交失败
return json.dumps(result)
def ajax_delete_social_sensors():
finish = ["0"]
delete_user = request.args.get("delete_users", '') # &.join
task_detail = es_prediction.get(index="manage_sensing_task",
doc_type="task",
id="social_sensing_task")["_source"]
sensors = json.loads(task_detail["social_sensors"])
if delete_user:
uid_list = delete_user.split("&")
new_list = set(sensors) - set(uid_list)
task_detail["social_sensors"] = json.dumps(list(new_list))
es_prediction.index(index="manage_sensing_task",
doc_type="task",
id="social_sensing_task",
body=task_detail)
finish = ["1"]
return json.dumps(finish)
def ajax_add_social_sensor():
finish = ["0"]
add_user = request.args.get("add_users", '') # &.join
task_detail = es_prediction.get(index="manage_sensing_task",
doc_type="task",
id="social_sensing_task")["_source"]
sensors = json.loads(task_detail["social_sensors"])
if add_user:
uid_list = add_user.split("，") #改成了“，”
if uid_list:
in_set = set(uid_list) & set(sensors)
out_set = set(uid_list) - set(sensors)
if out_set:
new_list = list(set(uid_list) | set(sensors))
task_detail["social_sensors"] = json.dumps(new_list)
es_prediction.index(index="manage_sensing_task",
doc_type="task",
id="social_sensing_task",
body=task_detail)
finish = ["1"]
results = [list(in_set), list(out_set)]
#return json.dumps(results)
return json.dumps(finish)