1
|
import json
|
2
|
import pysolr
|
3
|
|
4
|
|
5
|
solr_server = pysolr.Solr("http://node0.d.dli.research-infrastructures.eu:8983/solr/DLIF-index-cleaned_shard1_replica1")
|
6
|
"""
|
7
|
result =solr_server.search(q="localidentifier:'10.5517/ccp8ql7' ", rows=20, **{
|
8
|
'facet':'true',
|
9
|
'start':10,
|
10
|
'facet.field':['entitytype', 'provenance']
|
11
|
});
|
12
|
"""
|
13
|
|
14
|
|
15
|
def getPointingTo(query, type):
|
16
|
result = solr_server.search(q=query, rows=10, **{
|
17
|
'facet':'true',
|
18
|
'facet.field':['relatedobjtype'],
|
19
|
'fq':'entitytype:"%s"'%type,
|
20
|
'fq':'entitytype:"publication"'
|
21
|
|
22
|
})
|
23
|
|
24
|
fields =result.facets['facet_fields']
|
25
|
|
26
|
return {type: [{'key':fields['relatedobjtype'][i], 'value':fields['relatedobjtype'][i+1]} for i in range(0,len(fields['relatedobjtype']),2)]}
|
27
|
|
28
|
|
29
|
def get_stats(self):
|
30
|
stats = {}
|
31
|
response = self.solr_server.search(q='*:*', rows=0, **{
|
32
|
'facet': 'true',
|
33
|
'facet.field': ['provenance']
|
34
|
})
|
35
|
d = response.facets['facet_fields']['provenance']
|
36
|
stats['dataset'] = [[d[i], d[i+1]] for i in range(0, len(d), 2)]
|
37
|
response = self.solr_server.search(q='*:*', rows=0, **{
|
38
|
'facet': 'true',
|
39
|
'facet.field': ['provenance'],
|
40
|
'fq': ['entitytype:"publication"']
|
41
|
})
|
42
|
d = response.facets['facet_fields']['provenance']
|
43
|
stats['publication'] = [[d[i], d[i+1]] for i in range(0, len(d), 2)]
|
44
|
return stats
|
45
|
|
46
|
|
47
|
def get_stats_detail_part2(stat_dict):
|
48
|
response =solr_server.search(q='*:*', rows=0, **{
|
49
|
'facet':'true',
|
50
|
'facet.field':['provenance'],
|
51
|
'fq': ['entitytype:"publication"']
|
52
|
})
|
53
|
res = response.facets['facet_fields']
|
54
|
data= res['provenance']
|
55
|
total_pubs = [(data[i], data[i+1]) for i in range(len(data)) if (i % 2) == 0]
|
56
|
for item in total_pubs:
|
57
|
if item[0] not in stat_dict:
|
58
|
stat_dict[item[0]] = {'totalObject': 0, 'totalPublication': 0, 'totalDatasets': 0, 'totalRelations': 0}
|
59
|
stat_dict[item[0]]['totalPublication'] =item[1]
|
60
|
|
61
|
response =solr_server.search(q='*:*', rows=0, **{
|
62
|
'facet':'true',
|
63
|
'facet.field':['provenance'],
|
64
|
'fq': ['entitytype:"dataset"']
|
65
|
})
|
66
|
res = response.facets['facet_fields']
|
67
|
data= res['provenance']
|
68
|
total_datasets = [(data[i], data[i+1]) for i in range(len(data)) if (i % 2) == 0]
|
69
|
for item in total_datasets:
|
70
|
if item[0] not in stat_dict:
|
71
|
stat_dict[item[0]] ={}
|
72
|
stat_dict[item[0]]['totalDatasets'] =item[1]
|
73
|
|
74
|
|
75
|
|
76
|
|
77
|
def get_stats_detail():
|
78
|
response =solr_server.search(q='*:*', rows=0, **{
|
79
|
'facet':'true',
|
80
|
'facet.field':['provenance', 'relationprovenance']
|
81
|
})
|
82
|
res = response.facets['facet_fields']
|
83
|
data= res['provenance']
|
84
|
repo_name = [data[i] for i in range(len(data)) if (i % 2) == 0]
|
85
|
stat_dict = {}
|
86
|
total_item = [(data[i], data[i+1]) for i in range(len(data)) if (i % 2) == 0]
|
87
|
for repo in repo_name:
|
88
|
stat_dict[repo] ={'totalObject': 0, 'totalPublication': 0, 'totalDatasets': 0, 'totalRelations': 0}
|
89
|
for item in total_item:
|
90
|
stat_dict[item[0]]['totalObject'] =item[1]
|
91
|
data= res['relationprovenance']
|
92
|
total_rels = [(data[i], data[i+1]) for i in range(len(data)) if (i % 2) == 0]
|
93
|
for item in total_rels:
|
94
|
if item[0] not in stat_dict:
|
95
|
stat_dict[item[0]] ={'totalObject': 0, 'totalPublication': 0, 'totalDatasets': 0, 'totalRelations': 0}
|
96
|
stat_dict[item[0]]['totalRelations'] =item[1]
|
97
|
return stat_dict
|
98
|
|
99
|
|
100
|
|
101
|
import urllib2
|
102
|
|
103
|
|
104
|
import re
|
105
|
p = re.compile("((https?):((//)|(\\\\))+([\w\d:#@%/;$()~_?\+-=\\\.&](#!)?)*)")
|
106
|
|
107
|
print p.match("http://data.aims.gov.au/extpubs/do/viewpub.do?articleid=7037")
|
108
|
|
109
|
|
110
|
|
111
|
|
112
|
data =urllib2.urlopen("http://node0.d.dli.research-infrastructures.eu:8080/dli/mvc/ui/stats/getLastStats")
|
113
|
json.loads(data.read())
|
114
|
|
115
|
|