def data():
"""分类情感数据--绝对值
"""
customized = request.args.get('customized', '1') # 该字段已舍弃
query = request.args.get('query', None) # 输入topic
if query:
query = query.strip()
during = request.args.get('during', 900) # 计算粒度，默认为15分钟
during = int(during)
ts = request.args.get('ts', '')
ts = long(ts)
begin_ts = ts - during
end_ts = ts
emotion = request.args.get('emotion', 'global') # 情绪类型
results = {}
search_method = 'topic'
area = None
search_func = getattr(countsModule, 'search_%s_counts' % search_method, None)
if search_func:
if emotion == 'global':
for k, v in emotions_kv.iteritems():
results[k] = search_func(end_ts, during, v, query=query, domain=area, customized=customized)
else:
results[emotion] = search_func(end_ts, during, emotions_kv[emotion], query=query, domain=area, customized=customized)
else:
return json.dumps('search function undefined')
return json.dumps(results)
def weibos_data():
"""关键微博
"""
customized = request.args.get('customized', '1')
query = request.args.get('query', None)
if query:
query = query.strip()
during = request.args.get('during', 24*3600)
during = int(during)
emotion = request.args.get('emotion', 'global')
ts = request.args.get('ts', '')
ts = long(ts)
begin_ts = ts - during
end_ts = ts
limit = request.args.get('limit', 50)
limit = int(limit)
results = {}
search_method = 'topic'
area = None
search_func = getattr(weibosModule, 'search_%s_weibos' % search_method, None)
if search_func:
if emotion == 'global':
for k, v in emotions_kv.iteritems():
results[k] = search_func(end_ts, during, v, query=query, domain=area, limit=limit, customized=customized)
else:
results[emotion] = search_func(end_ts, during, emotions_kv[emotion], query=query, domain=area, limit=limit, customized=customized)
else:
return json.dumps('search function undefined')
return json.dumps(results)
def pie():
'''饼图数据
'''
query = request.args.get('query', None)
if query:
query = query.strip()
during = request.args.get('during', 1800)
during = int(during)
ts = request.args.get('ts', '')
ts = long(ts)
begin_ts = ts - during
end_ts = ts
emotion = request.args.get('emotion', 'global') # 情绪类型
results = {}
search_method = 'topic'
area = None
search_func = getattr(countsModule, 'search_%s_counts' % search_method, None)
if search_func:
if emotion == 'global':
for k, v in emotions_kv.iteritems():
results[k] = search_func(end_ts, during, v, query=query, domain=area)[1]
else:
results[emotion] = search_func(end_ts, during, emotions_kv[emotion], query=query, domain=area)[1]
else:
return json.dumps('search function undefined')
return json.dumps(results)
def read_range_count_results(start_ts, over_ts, during=Hour):
over_ts = ts2HourlyTime(over_ts, MinInterval)
interval = (over_ts - start_ts) / during
emotion_dic = {}
if during <= MinInterval:
for k, v in emotions_kv.iteritems():
count = read_count_results(v, over_ts=over_ts, during=during)
emotion_dic[k] = [over_ts * 1000, count]
else:
end_ts = over_ts
start_ts = end_ts - during
for k, v in emotions_kv.iteritems():
count = read_count_results(v, start_ts=start_ts, over_ts=end_ts, during=during)
emotion_dic[k] = [end_ts * 1000, count]
return emotion_dic
def read_range_weibos_results(start_ts, over_ts, during=Hour):
over_ts = ts2HourlyTime(over_ts, MinInterval)
interval = (over_ts - start_ts) / during
emotion_dic = {}
if during <= MinInterval:
for k, v in emotions_kv.iteritems():
weibos = read_weibo_results(v, over_ts=over_ts, during=during)
emotion_dic[k] = weibos
else:
end_ts = over_ts
start_ts = end_ts - during
for k, v in emotions_kv.iteritems():
weibos = read_weibo_results(v, start_ts=start_ts, over_ts=end_ts, during=during)
emotion_dic[k] = weibos
return emotion_dic
def keywords_data():
"""情绪关键词数据
"""
customized = request.args.get('customized', '1')
query = request.args.get('query', None)
if query:
query = query.strip()
during = request.args.get('during', 24*3600)
during = int(during)
ts = request.args.get('ts', '')
ts = long(ts)
begin_ts = ts - during
end_ts = ts
limit = request.args.get('limit', 50)
limit = int(limit)
emotion = request.args.get('emotion', 'global')
results = {}
search_method = 'topic'
area = None
search_func = getattr(keywordsModule, 'search_%s_keywords' % search_method, None)
if search_func:
if emotion == 'global':
keywords_data = {}
for k, v in emotions_kv.iteritems():
emotion_results = search_func(end_ts, during, v, query=query, domain=area, top=limit, customized=customized)
for keyword, count in emotion_results.iteritems():
try:
keywords_data[keyword] += count
except KeyError:
keywords_data[keyword] = count
kcount_tuple = sorted(keywords_data.iteritems(), key=lambda (k, v): v, reverse=False)
for k, v in kcount_tuple[len(kcount_tuple)-limit:]:
results[k] = v
else:
results[emotion] = search_func(end_ts, during, emotions_kv[emotion], query=query, domain=area, top=limit, customized=customized)
else:
return json.dumps('search function undefined')
return json.dumps(results)