Homec4science
Diffusion invenio-infoscience (maint-0.99) Browse

R3600/modules/bibrank/lib/bibrank_citation_indexer.py
94fa62054879maint-0.99

Last Change
Raw File

bibrank_citation_indexer.py
View Options

## $Id$
## This file is part of the CERN Document Server Software (CDSware).
## Copyright (C) 2002 CERN.
##
## The CDSware is free software; you can redistribute it and/or
## modify it under the terms of the GNU General Public License as
## published by the Free Software Foundation; either version 2 of the
## License, or (at your option) any later version.
##
## The CDSware is distributed in the hope that it will be useful, but
## WITHOUT ANY WARRANTY; without even the implied warranty of
## MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
## General Public License for more details.
##
## You should have received a copy of the GNU General Public License
## along with CDSware; if not, write to the Free Software Foundation, Inc.,
## 59 Temple Place, Suite 330, Boston, MA 02111-1307, USA.
<protect># -*- coding: utf-8 -*-</protect>
<protect>## $Id$</protect>
<protect>## DO NOT EDIT THIS FILE! IT WAS AUTOMATICALLY GENERATED FROM CDSware WML SOURCES.</protect>
import MySQLdb
import time
import os
from marshal import loads, dumps
from zlib import decompress, compress
from dbquery import run_sql
from search_engine import print_record, search_pattern
from bibrecord import create_records, record_get_field_values
class memoise:
def __init__(self, function):
self.memo = {}
self.function = function
def __call__(self, *args):
if self.memo.has_key(args):
return self.memo[args]
else:
object = self.memo[args] = self.function(*args)
return object
def get_recids_matching_query(pvalue, fvalue):
"""Return list of recIDs matching query for PVALUE and FVALUE."""
rec_id = search_pattern(p=pvalue, f=fvalue, m='e').tolist()
return rec_id
get_recids_matching_query = memoise(get_recids_matching_query)
def get_citation_weight(rank_method_code, config):
"""return a dictionary which is used by bibrank daemon for generating
the index of sorted research results by citation inforamtion
"""
begin_time = time.time()
last_update_time = get_bibrankmethod_lastupdate(rank_method_code)
last_modified_records = get_last_modified_rec(last_update_time)
if last_modified_records:
updated_recid_list = create_recordid_list(last_modified_records)
result_intermediate = last_updated_result(rank_method_code, updated_recid_list)
citation_weight_dic_intermediate = result_intermediate[0]
citation_list_intermediate = result_intermediate[1]
reference_list_intermediate = result_intermediate[2]
citation_informations = get_citation_informations(updated_recid_list, config)
dic = ref_analyzer(citation_informations, citation_weight_dic_intermediate, citation_list_intermediate, reference_list_intermediate)
end_time = time.time()
print "Total time of software: ", (end_time - begin_time)
else:
dic = {}
print "No new records added since last time this rank method was executed"
return dic
def get_bibrankmethod_lastupdate(rank_method_code):
"""return the last excution date of bibrank method
"""
query = """select last_updated from rnkMETHOD where name ='%s'""" % rank_method_code
last_update_time = run_sql(query)
return last_update_time[0][0]
def get_last_modified_rec(bibrank_method_lastupdate):
""" return the list of recods which have been modified after the last execution
of bibrank method. The result is expected to have ascending numerical order.
"""
query = """SELECT id FROM bibrec WHERE modification_date>= '%s' """ % bibrank_method_lastupdate
query += "order by id ASC"
list = run_sql(query)
return list
def create_recordid_list(rec_ids):
"""Create a list of record ids out of RECIDS. The result is expected to have ascending numerical order.
"""
rec_list = []
for row in rec_ids:
rec_list.append(row[0])
return rec_list
def create_record_tuple(list):
"""Creates a tuple of record id from a list of id.
The result is expected to have ascending numerical order.
"""
list_length = len(list)
if list_length:
rec_tuple = '('
for row in list[0:list_length-1]:
rec_tuple += str(row)
rec_tuple += ','
rec_tuple += str(list[list_length-1])
rec_tuple += ')'
else: rec_tuple = '()'
return rec_tuple
def last_updated_result(rank_method_code, recid_list):
""" return the last value of dictionary in rnkMETHODDATA table if it exists and
initialize the value of last updated records by zero,otherwise an initial dictionary
with zero as value for all recids
"""
query = """select relevance_data from rnkMETHOD, rnkMETHODDATA where
rnkMETHOD.id = rnkMETHODDATA.id_rnkMETHOD and rnkMETHOD.Name = '%s'"""% rank_method_code
dict = run_sql(query)
if dict:
dic = loads(decompress(dict[0][0]))
query = "select citation_data from rnkCITATIONDATA"
cit_compressed = run_sql(query)
cit = loads(decompress(cit_compressed[0][0]))
query = "select citation_data_reversed from rnkCITATIONDATA"
ref_compressed = run_sql(query)
ref = loads(decompress(ref_compressed[0][0]))
result = get_initial_result(dic, cit, ref, recid_list)
else: result = make_initial_result()
return result
def get_initial_result(dic, cit, ref, recid_list):
"""initialieze the citation weights of the last updated record with zero for
recalculating it later
"""
for recid in recid_list:
dic[recid] = 0
cit[recid] = []
if ref.has_key(recid) and ref[recid]:
for id in ref[recid]:
if cit.has_key(id) and recid in cit[id]:
cit[id].remove(recid)
dic[id] -= 1
if cit.has_key(recid) and cit[recid]:
for id in cit[recid]:
if ref.has_key(id) and recid in ref[id]:
ref[id].remove(recid)
ref[recid] = []
return [dic, cit, ref]
def make_initial_result():
"""return an initial dictinary with recID as key and zero as value
"""
dic = {}
cit = {}
ref = {}
query = "select id from bibrec"
res = run_sql(query)
for key in res:
dic[key[0]] = 0
cit[key[0]] = []
ref[key[0]] = []
return [dic, cit, ref]
def get_citation_informations(recid_list, config):
"""return une dictionary that contains the citation information of cds records
"""
begin_time = os.times()[4]
d_reports_numbers = {}
d_references_report_numbers = {}
d_references_s = {}
d_records_s = {}
citation_informations = []
record_pri_number_tag = config.get(config.get("rank_method", "function"),"publication_primary_number_tag")
record_add_number_tag = config.get(config.get("rank_method", "function"),"publication_aditional_number_tag")
reference_number_tag = config.get(config.get("rank_method", "function"),"publication_reference_number_tag")
reference_tag = config.get(config.get("rank_method", "function"),"publication_reference_tag")
record_publication_info_tag = config.get(config.get("rank_method", "function"),"publication_info_tag")
for recid in recid_list:
xml = print_record(int(recid),'xm')
rs = create_records(xml)
recs = map((lambda x:x[0]), rs)
l_report_numbers = []
for rec in recs:
pri_report_number = record_get_field_values(rec, record_pri_number_tag[0:3], code=record_pri_number_tag[3])
add_report_numbers = record_get_field_values(rec, record_add_number_tag[0:3], code=record_add_number_tag[3])
if pri_report_number:
l_report_numbers.extend(pri_report_number)
if add_report_numbers:
l_report_numbers.extend(add_report_numbers)
d_reports_numbers[recid] = l_report_numbers
reference_report_number = record_get_field_values(rec, reference_number_tag[0:3], ind1=reference_number_tag[3], ind2=reference_number_tag[4], code=reference_number_tag[5])
if reference_report_number:
d_references_report_numbers[recid] = reference_report_number
references_s = record_get_field_values(rec, reference_tag[0:3], ind1=reference_tag[3], ind2=reference_tag[4], code=reference_tag[5])
if references_s:
d_references_s[recid] = references_s
record_s = record_get_field_values(rec, record_publication_info_tag[0:3], ind1='', ind2='', code=record_publication_info_tag[3])
if record_s:
d_records_s[recid] = record_s[0]
citation_informations.append(d_reports_numbers)
citation_informations.append(d_references_report_numbers)
citation_informations.append(d_references_s)
citation_informations.append(d_records_s)
end_time = os.times()[4]
print "Execution time for generating citation inforamtions by parsing xml contents: ", (end_time - begin_time)
return citation_informations
def ref_analyzer(citation_informations, initialresult, initial_citationlist, initial_referencelist):
"""Analyze the citation informations and calculate the citation weight
and cited by list dictionary
"""
citation_list = initial_citationlist
reference_list = initial_referencelist
result = initialresult
d_reports_numbers = citation_informations[0]
d_references_report_numbers = citation_informations[1]
d_references_s = citation_informations[2]
d_records_s = citation_informations[3]
t1 = os.times()[4]
for recid, refnumbers in d_references_report_numbers.iteritems():
for refnumber in refnumbers:
p = refnumber
f = 'reportnumber'
rec_id = get_recids_matching_query(p, f)
if rec_id:
result[rec_id[0]] += 1
citation_list[rec_id[0]].append(recid)
reference_list[recid].append(rec_id[0])
t2 = os.times()[4]
for recid, refss in d_references_s.iteritems():
for refs in refss:
p = refs
f = 'publref'
rec_id = get_recids_matching_query(p, f)
if rec_id and not recid in citation_list[rec_id[0]]:
result[rec_id[0]] += 1
citation_list[rec_id[0]].append(recid)
if rec_id and not rec_id[0] in reference_list[recid]:
reference_list[recid].append(rec_id[0])
t3 = os.times()[4]
for rec_id, recnumbers in d_reports_numbers.iteritems():
for recnumber in recnumbers:
p = recnumber
f = '999C5r'
recid_list = get_recids_matching_query(p, f)
if recid_list:
for recid in recid_list:
if not recid in citation_list[rec_id]:
result[rec_id] += 1
citation_list[rec_id].append(recid)
if not rec_id in reference_list[recid]:
reference_list[recid].append(rec_id)
t4 = os.times()[4]
for recid, recs in d_records_s.iteritems():
tmp = recs.find("-")
if tmp < 0:
recs_modified = recs
else:
recs_modified = recs[:tmp]
p = recs_modified
f = '999C5s'
rec_ids = get_recids_matching_query(p, f)
if rec_ids:
for rec_id in rec_ids:
if not rec_id in citation_list[recid]:
result[recid] += 1
citation_list[recid].append(rec_id)
if not recid in reference_list[rec_id]:
reference_list[rec_id].append(recid)
t5 = os.times()[4]
insert_cit_ref_list_intodb(citation_list, reference_list)
print "\nExecution time for analizing the citation information generating the dictionary: "
print "checking ref number: ", (t2-t1)
print "checking ref ypvt: ", (t3-t2)
print "checking rec number: ", (t4-t3)
print "checking rec ypvt: ", (t5-t4)
print "total time of refAnalize: ", (t5-t1)
return result
def get_decompressed_xml(xml):
"""return a decompressed content of xml into a xml content
"""
decompressed_xml = create_records(decompress(xml))
return decompressed_xml
def insert_cit_ref_list_intodb(citation_dic, reference_dic):
"""Insert the reference and citation list into the database"""
date = time.strftime("%Y-%m-%d %H:%M:%S", time.localtime())
id = run_sql("SELECT * from rnkCITATIONDATA ")
if id:
run_sql("update rnkCITATIONDATA set citation_data_reversed = '%s'"%
(get_compressed_dictionary(reference_dic)))
run_sql("update rnkCITATIONDATA set citation_data = '%s'" %
(get_compressed_dictionary(citation_dic)))
else :
run_sql("INSERT INTO rnkCITATIONDATA VALUES ('%s', null)" %
(get_compressed_dictionary(citation_dic)))
run_sql("update rnkCITATIONDATA set citation_data_reversed = '%s'"%
(get_compressed_dictionary(reference_dic)))
def get_compressed_dictionary(dic):
"""Serialize Python object vi a marshal into a compressed string."""
return MySQLdb.escape_string(compress(dumps(dic)))
c4science · Help