def ajax_portrait_search():
stype = request.args.get('stype', 2)
stype = int(stype)
result = {}
query_data = {}
query = []
query_list = []
condition_num = 0
if stype == 1:
fuzz_item = ['uid', 'uname']
item_data = request.args.get('term', '')
for item in fuzz_item:
if item_data:
query_list.append({'wildcard': {item: '*' + item_data + '*'}})
condition_num += 1
query.append({'bool': {'should': query_list}})
else:
simple_item = ['uid', 'uname']
fuzz_item = ['politics', 'hashtag']
multi_item = [
'domain', 'topic_string', 'keywords_string',
'sensitive_words_string', 'activity_geo'
]
item_data = request.args.get('term', '')
query_list = []
for item in simple_item:
if item_data:
query_list.append({'wildcard': {item: '*' + item_data + '*'}})
condition_num += 1
query.append({'bool': {'should': query_list}})
for item in fuzz_item:
item_data = request.args.get(item, '')
if item_data:
query.append({'term': {item: item_data}})
condition_num += 1
for item in multi_item:
item_data = request.args.get(item, '')
if item_data:
if item == 'activity_geo':
item_list = item_data.split('/')
else:
item_list = item_data.split(',')
query.append({"terms": {item: item_list}})
condition_num += 1
# custom_attribute
tag_item = request.args.get('tag', '')
if tag_item:
tag_item_list = tag_item.split(':')
tag_name = tag_item_list[0]
tag_value = tag_item_list[1]
if tag_name and tag_value:
query.append({"term": {"tag-" + tag_name: tag_value}})
condition_num += 1
print query
size = 1000
sort = '_score'
result = search_portrait(condition_num, query, sort, size)
return json.dumps(result)
def ajax_portrait_search():
stype = request.args.get('stype', 2)
stype = int(stype)
result = {}
query_data = {}
query = []
query_list = []
condition_num = 0
if stype == 1:
fuzz_item = ['uid', 'uname']
item_data = request.args.get('term', '')
for item in fuzz_item:
if item_data:
query_list.append({'wildcard':{item:'*'+item_data+'*'}})
condition_num += 1
query.append({'bool':{'should':query_list}})
else:
simple_item = ['uid', 'uname']
fuzz_item = ['politics', 'hashtag']
multi_item = ['domain','topic_string', 'keywords_string','sensitive_words_string','activity_geo' ]
item_data = request.args.get('term', '')
query_list = []
for item in simple_item:
if item_data:
query_list.append({'wildcard':{item:'*'+item_data+'*'}})
condition_num += 1
query.append({'bool':{'should':query_list}})
for item in fuzz_item:
item_data = request.args.get(item, '')
if item_data:
query.append({'term':{item:item_data}})
condition_num += 1
for item in multi_item:
item_data = request.args.get(item, '')
if item_data:
if item == 'activity_geo':
item_list = item_data.split('/')
else:
item_list = item_data.split(',')
query.append({"terms":{item:item_list}})
condition_num += 1
# custom_attribute
tag_item = request.args.get('tag', '')
if tag_item:
tag_item_list = tag_item.split(':')
tag_name = tag_item_list[0]
tag_value = tag_item_list[1]
if tag_name and tag_value:
query.append({"term":{"tag-"+tag_name:tag_value}})
condition_num += 1
print query
size = 1000
sort = '_score'
result = search_portrait(condition_num, query, sort, size)
return json.dumps(result)
def ajax_search_portrait():
query_list = []
condition_num = 0
query = []
result = {}
query_date = {}
shift_dict = {'activity_geo':'geo_string', 'keywords':'keywords_string', 'hashtag':'hashtag_string', \
'sensitive_words':'sensitive_words_string', 'sensitive_geo_activity':'sensitive_geo_string', \
'sensitive_hashtag_string':'sensitive_hashtag_string', 'topic':'topic_string'}
fuzz_item = [
'uid', 'uname', 'location', 'activity_geo', 'keywords', 'hashtag'
]
sensitive_item = [
'sensitive_words', 'sensitive_geo_activity', 'sensitive_hashtag'
]
select_item = ['gender', 'verified', 'psycho_feature', 'psycho_status']
range_item = [
'fansnum', 'statusnum', 'friendsnum', 'importance', 'activeness',
'influence'
]
multi_item = ['topic', 'domain']
for item in fuzz_item:
item_data = request.args.get(item, '')
if item_data:
if shift_dict.has_key(item):
query.append(
{'wildcard': {
shift_dict[item]: '*' + item_data + '*'
}})
else:
query.append({'wildcard': {item: '*' + item_data + '*'}})
condition_num += 1
for item in select_item:
item_data = request.args.get(item, '')
if item_data:
if shift_dict.has_key(item):
query.append(
{'wildcard': {
shift_dict[item]: '*' + item_data + '*'
}})
else:
query.append({'wildcard': {item: '*' + item_data + '*'}})
condition_num += 1
for item in sensitive_item:
item_data = request.args.get(item, '')
if item_data:
if shift_dict.has_key(item):
query.append(
{'wildcard': {
shift_dict[item]: '*' + item_data + '*'
}})
else:
query.append({'wildcard': {item: '*' + item_data + '*'}})
condition_num += 1
'''
if custom_attribute_list:
for custom_tag in custom_attribute_list:
item_data = request.args.get(custom_tag, '')
query.append({'wildcard':{custom_tag:'*'+item_data+'*'}})
condition_num += 1
'''
tag_items = request.args.get('tag', '')
if tag_items:
tag_item_list = tag_items.split(',')
# print 'tag_term_list:', tag_item_list
for tag_item in tag_item_list:
attribute_name_value = tag_item.split(':')
attribute_name = attribute_name_value[0]
attribute_value = attribute_name_value[1]
if attribute_name and attribute_value:
query.append({
'wildcard': {
attribute_name: '*' + attribute_value + '*'
}
})
condition_num += 1
for item in multi_item:
nest_body = {}
nest_body_list = []
item_data = request.args.get(item, '')
if item == 'topic':
item = 'topic_string'
if item_data:
term_list = item_data.split(',')
for term in term_list:
nest_body_list.append({'match': {item: term}})
condition_num += 1
query.append({'bool': {'should': nest_body_list}})
# size = request.args.get('size', 1000)
size = 1000
# sort = request.args.get('sort', 'influence')
sort = '_score'
# print 'condition_num, query:', condition_num, query
result = search_portrait(condition_num, query, sort, size)
return json.dumps(result)
def ajax_search_portrait():
query_list = []
condition_num = 0
query = []
result = {}
query_date = {}
shift_dict = {
"activity_geo": "geo_string",
"keywords": "keywords_string",
"hashtag": "hashtag_string",
"sensitive_words": "sensitive_words_string",
"sensitive_geo_activity": "sensitive_geo_string",
"sensitive_hashtag_string": "sensitive_hashtag_string",
"topic": "topic_string",
}
fuzz_item = ["uid", "uname", "location", "activity_geo", "keywords", "hashtag"]
sensitive_item = ["sensitive_words", "sensitive_geo_activity", "sensitive_hashtag"]
select_item = ["gender", "verified", "psycho_feature", "psycho_status"]
range_item = ["fansnum", "statusnum", "friendsnum", "importance", "activeness", "influence"]
multi_item = ["topic", "domain"]
for item in fuzz_item:
item_data = request.args.get(item, "")
if item_data:
if shift_dict.has_key(item):
query.append({"wildcard": {shift_dict[item]: "*" + item_data + "*"}})
else:
query.append({"wildcard": {item: "*" + item_data + "*"}})
condition_num += 1
for item in select_item:
item_data = request.args.get(item, "")
if item_data:
if shift_dict.has_key(item):
query.append({"wildcard": {shift_dict[item]: "*" + item_data + "*"}})
else:
query.append({"wildcard": {item: "*" + item_data + "*"}})
condition_num += 1
for item in sensitive_item:
item_data = request.args.get(item, "")
if item_data:
if shift_dict.has_key(item):
query.append({"wildcard": {shift_dict[item]: "*" + item_data + "*"}})
else:
query.append({"wildcard": {item: "*" + item_data + "*"}})
condition_num += 1
"""
if custom_attribute_list:
for custom_tag in custom_attribute_list:
item_data = request.args.get(custom_tag, '')
query.append({'wildcard':{custom_tag:'*'+item_data+'*'}})
condition_num += 1
"""
tag_items = request.args.get("tag", "")
if tag_items:
tag_item_list = tag_items.split(",")
# print 'tag_term_list:', tag_item_list
for tag_item in tag_item_list:
attribute_name_value = tag_item.split(":")
attribute_name = attribute_name_value[0]
attribute_value = attribute_name_value[1]
if attribute_name and attribute_value:
query.append({"wildcard": {attribute_name: "*" + attribute_value + "*"}})
condition_num += 1
for item in multi_item:
nest_body = {}
nest_body_list = []
item_data = request.args.get(item, "")
if item == "topic":
item = "topic_string"
if item_data:
term_list = item_data.split(",")
for term in term_list:
nest_body_list.append({"match": {item: term}})
condition_num += 1
query.append({"bool": {"should": nest_body_list}})
# size = request.args.get('size', 1000)
size = 1000
# sort = request.args.get('sort', 'influence')
sort = "_score"
# print 'condition_num, query:', condition_num, query
result = search_portrait(condition_num, query, sort, size)
return json.dumps(result)