def get_text_detail(task_name, ts, text_type, user, order, size=100):
results = []
_id = user + '-' + task_name
task_detail = es.get(index=index_manage_sensing_task, doc_type=task_doc_type, id=_id)["_source"]
social_sensors = json.loads(task_detail["social_sensors"])
#print social_sensors
if int(text_type) == 0: # 热门原创微博
results = get_origin_weibo_detail(ts, user, task_name, size, order, 1)
elif int(text_type) == 1: # 热门转发微博
results = get_origin_weibo_detail(ts, user, task_name, size, order, 2)
elif int(text_type) == 2: # 普通转发微博
results = get_retweet_weibo_detail(ts, user, task_name, size, "message_type", 3)
elif int(text_type) == 3: # 普通评论微博
results = get_retweet_weibo_detail(ts, user, task_name, size, "message_type", 2)
elif int(text_type) == 4: # 积极微博
results = get_retweet_weibo_detail(ts, user, task_name, size, "sentiment", "1")
elif int(text_type) == 5: # 中性微博
results = get_retweet_weibo_detail(ts, user, task_name, size, "sentiment", "0")
elif int(text_type) == 6: # 消极微博
results = get_retweet_weibo_detail(ts, user, task_name, size, "sentiment", ["2", "3", "4", "5", "6"])
elif int(text_type) == 7: # 敏感微博
results = get_origin_weibo_detail(ts, user, task_name, size, order, 3)
else:
print "error"
print '******************'
#print results
return results
def get_text_detail(task_name, ts, text_type, user, order, size=100):
results = []
_id = user + '-' + task_name
task_detail = es.get(index=index_manage_sensing_task, doc_type=task_doc_type, id=_id)["_source"]
social_sensors = json.loads(task_detail["social_sensors"])
#print social_sensors
if int(text_type) == 0: # 热门原创微博
results = get_origin_weibo_detail(ts, user, task_name, size, order, 1)
elif int(text_type) == 1: # 热门转发微博
results = get_origin_weibo_detail(ts, user, task_name, size, order, 2)
elif int(text_type) == 2: # 普通转发微博
results = get_retweet_weibo_detail(ts, user, task_name, size, "message_type", 3)
elif int(text_type) == 3: # 普通评论微博
results = get_retweet_weibo_detail(ts, user, task_name, size, "message_type", 2)
elif int(text_type) == 4: # 积极微博
results = get_retweet_weibo_detail(ts, user, task_name, size, "sentiment", "1")
elif int(text_type) == 5: # 中性微博
results = get_retweet_weibo_detail(ts, user, task_name, size, "sentiment", "0")
elif int(text_type) == 6: # 消极微博
results = get_retweet_weibo_detail(ts, user, task_name, size, "sentiment", ["2", "3", "4", "5", "6"])
elif int(text_type) == 7: # 敏感微博
results = get_origin_weibo_detail(ts, user, task_name, size, order, 3)
else:
print "error"
return results
def get_text_detail(task_name, ts, text_type, size=100):
results = []
task_detail = es.get(index=index_manage_sensing_task, doc_type=task_doc_type, id=task_name)["_source"]
keywords_list = json.loads(task_detail["keywords"])
sensitive_words_list = json.loads(task_detail["sensitive_words"])
social_sensors = json.loads(task_detail["social_sensors"])
# print social_sensors
if int(text_type) == 0: # 原创微博
results = get_origin_weibo_detail(ts, social_sensors, keywords_list, size)
elif int(text_type) == 1: # 转发微博
results = get_retweet_weibo_detail(ts, social_sensors, keywords_list, size, 3)
# results = get_origin_weibo_detail(ts, social_sensors, keywords_list, size, 3)
elif int(text_type) == 2: # 评论微博
results = get_retweet_weibo_detail(ts, social_sensors, keywords_list, size, 2)
# results = get_origin_weibo_detail(ts, social_sensors, keywords_list, size, 2)
elif int(text_type) == 3: # 积极微博
results = get_positive_weibo_detail(ts, social_sensors, keywords_list, size, "1")
elif int(text_type) == 4: # 中性微博
results = get_positive_weibo_detail(ts, social_sensors, keywords_list, size, "0")
elif int(text_type) == 5: # 消极微博
results = get_positive_weibo_detail(ts, social_sensors, keywords_list, size, "2")
elif int(text_type) == 6 and social_sensors: # 原创敏感微博
results = get_sensitive_weibo_detail(ts, social_sensors, sensitive_words_list, 1, size)
elif int(text_type) == 7 and social_sensors: # 转发敏感微博
results = get_sensitive_weibo_detail(ts, social_sensors, sensitive_words_list, 3, size)
elif int(text_type) == 8 and social_sensors: # 评论敏感微博
results = get_sensitive_weibo_detail(ts, social_sensors, sensitive_words_list, 2, size)
else:
print "input error"
return results
