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import json
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import pysolr
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solr_server = pysolr.Solr("http://node0.d.dli.research-infrastructures.eu:8983/solr/DLIF-index-cleaned_shard1_replica1")
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"""
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result =solr_server.search(q="localidentifier:'10.5517/ccp8ql7' ", rows=20, **{
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   'facet':'true',
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   'start':10,
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   'facet.field':['entitytype', 'provenance']
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});
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"""
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def getPointingTo(query, type):
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    result = solr_server.search(q=query, rows=10, **{
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       'facet':'true',
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       'facet.field':['relatedobjtype'],
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       'fq':'entitytype:"%s"'%type,
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       'fq':'entitytype:"publication"'
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    })
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    fields =result.facets['facet_fields']
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    return {type: [{'key':fields['relatedobjtype'][i], 'value':fields['relatedobjtype'][i+1]} for i in range(0,len(fields['relatedobjtype']),2)]}
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def get_stats(self):
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        stats = {}
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        response = self.solr_server.search(q='*:*', rows=0, **{
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            'facet': 'true',
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            'facet.field': ['provenance']
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            })
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        d = response.facets['facet_fields']['provenance']
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        stats['dataset'] = [[d[i], d[i+1]] for i in range(0, len(d), 2)]
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        response = self.solr_server.search(q='*:*', rows=0, **{
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            'facet': 'true',
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            'facet.field': ['provenance'],
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            'fq': ['entitytype:"publication"']
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        })
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        d = response.facets['facet_fields']['provenance']
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        stats['publication'] = [[d[i], d[i+1]] for i in range(0, len(d), 2)]
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        return stats
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def get_stats_detail_part2(stat_dict):
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    response =solr_server.search(q='*:*', rows=0, **{
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           'facet':'true',
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           'facet.field':['provenance'],
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            'fq': ['entitytype:"publication"']
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        })
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    res = response.facets['facet_fields']
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    data= res['provenance']
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    total_pubs = [(data[i], data[i+1]) for i in range(len(data)) if (i % 2) == 0]
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    for item in total_pubs:
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        if item[0] not in stat_dict:
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             stat_dict[item[0]] = {'totalObject': 0, 'totalPublication': 0, 'totalDatasets': 0, 'totalRelations': 0}
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        stat_dict[item[0]]['totalPublication'] =item[1]
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    response =solr_server.search(q='*:*', rows=0, **{
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           'facet':'true',
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           'facet.field':['provenance'],
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            'fq': ['entitytype:"dataset"']
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        })
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    res = response.facets['facet_fields']
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    data= res['provenance']
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    total_datasets = [(data[i], data[i+1]) for i in range(len(data)) if (i % 2) == 0]
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    for item in total_datasets:
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        if item[0] not in stat_dict:
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             stat_dict[item[0]] ={}
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        stat_dict[item[0]]['totalDatasets'] =item[1]
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def get_stats_detail():
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    response =solr_server.search(q='*:*', rows=0, **{
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           'facet':'true',
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           'facet.field':['provenance', 'relationprovenance']
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        })
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    res = response.facets['facet_fields']
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    data= res['provenance']
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    repo_name = [data[i] for i in range(len(data)) if (i % 2) == 0]
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    stat_dict = {}
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    total_item = [(data[i], data[i+1]) for i in range(len(data)) if (i % 2) == 0]
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    for repo in  repo_name:
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        stat_dict[repo] ={'totalObject': 0, 'totalPublication': 0, 'totalDatasets': 0, 'totalRelations': 0}
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    for item in total_item:
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        stat_dict[item[0]]['totalObject'] =item[1]
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    data= res['relationprovenance']
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    total_rels = [(data[i], data[i+1]) for i in range(len(data)) if (i % 2) == 0]
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    for item in total_rels:
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        if item[0] not in stat_dict:
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             stat_dict[item[0]] ={'totalObject': 0, 'totalPublication': 0, 'totalDatasets': 0, 'totalRelations': 0}
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        stat_dict[item[0]]['totalRelations'] =item[1]
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    return stat_dict
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import urllib2
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import re
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p = re.compile("((https?):((//)|(\\\\))+([\w\d:#@%/;$()~_?\+-=\\\.&](#!)?)*)")
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print p.match("http://data.aims.gov.au/extpubs/do/viewpub.do?articleid=7037")
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data =urllib2.urlopen("http://node0.d.dli.research-infrastructures.eu:8080/dli/mvc/ui/stats/getLastStats")
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json.loads(data.read())
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