def simgic_hindex(id1, id2, h=4):
cur = db.cursor()
cur.execute(
"""SELECT (
SELECT SUM(y.rel_info)
FROM (
SELECT DISTINCT f.term_id, f.rel_info
FROM graph_path p1, graph_path p2, SSM_TermDesc f
WHERE p1.term2_id = %s
AND p2.term2_id = %s
AND p1.term1_id=p2.term1_id
AND p1.term1_id=f.term_id
AND f.hindex >= %s)
AS y )
/(
SELECT SUM(x.rel_info)
FROM (
SELECT f1.term_id, f1.rel_info
FROM graph_path p1, SSM_TermDesc f1
WHERE p1.term2_id = %s
AND p1.term1_id = f1.term_id
AND f1.hindex >= %s
UNION
SELECT f2.term_id, f2.rel_info
FROM graph_path p2, SSM_TermDesc f2
WHERE p2.term2_id = %s
AND p2.term1_id = f2.term_id
AND f2.hindex >= %s)
AS x )""", (id1, id2, h, id1, h, id2, h))
res = cur.fetchone()[0]
if res is None:
res = '0'
return float(res)
def simui(id1, id2):
cur = db.cursor()
cur.execute("""SELECT (
SELECT COUNT(y.rel_info)
FROM (
SELECT DISTINCT f.term_id, f.rel_info
FROM graph_path p1, graph_path p2, SSM_TermDesc f
WHERE p1.term2_id = %s
AND p2.term2_id = %s
AND p1.term1_id=p2.term1_id
AND p1.term1_id=f.term_id)
AS y )
/(
SELECT COUNT(x.rel_info)
FROM (
SELECT f1.term_id, f1.rel_info
FROM graph_path p1, SSM_TermDesc f1
WHERE p1.term2_id = %s
AND p1.term1_id = f1.term_id
UNION
SELECT f2.term_id, f2.rel_info
FROM graph_path p2, SSM_TermDesc f2
WHERE p2.term2_id = %s
AND p2.term1_id = f2.term_id)
AS x )""", (id1,id2,id1,id2))
res = cur.fetchone()[0]
if res is None:
res = '0'
return float(res)
def simui(id1, id2):
cur = db.cursor()
cur.execute(
"""SELECT (
SELECT COUNT(y.rel_info)
FROM (
SELECT DISTINCT f.term_id, f.rel_info
FROM graph_path p1, graph_path p2, SSM_TermDesc f
WHERE p1.term2_id = %s
AND p2.term2_id = %s
AND p1.term1_id=p2.term1_id
AND p1.term1_id=f.term_id)
AS y )
/(
SELECT COUNT(x.rel_info)
FROM (
SELECT f1.term_id, f1.rel_info
FROM graph_path p1, SSM_TermDesc f1
WHERE p1.term2_id = %s
AND p1.term1_id = f1.term_id
UNION
SELECT f2.term_id, f2.rel_info
FROM graph_path p2, SSM_TermDesc f2
WHERE p2.term2_id = %s
AND p2.term1_id = f2.term_id)
AS x )""", (id1, id2, id1, id2))
res = cur.fetchone()[0]
if res is None:
res = '0'
return float(res)
def harmonicmeanIC(id1, id2):
if id1 == 0 or id2 == 0:
return 0
cur = db.cursor()
cur.execute("""SELECT f.rel_info
FROM SSM_TermDesc f
WHERE f.term_id = %s""", (id1,))
ic1 = float(cur.fetchone()[0])
cur = db.cursor()
cur.execute("""SELECT f.rel_info
FROM SSM_TermDesc f
WHERE f.term_id = %s""", (id2,))
ic2 = float(cur.fetchone()[0])
if ic2 == 0 or ic2 == 0:
return 0
return (2*ic1*ic2)/(ic1+ic2)
def simgic_hindex(id1, id2, h=4):
cur = db.cursor()
cur.execute("""SELECT (
SELECT SUM(y.rel_info)
FROM (
SELECT DISTINCT f.term_id, f.rel_info
FROM graph_path p1, graph_path p2, SSM_TermDesc f
WHERE p1.term2_id = %s
AND p2.term2_id = %s
AND p1.term1_id=p2.term1_id
AND p1.term1_id=f.term_id
AND f.hindex >= %s)
AS y )
/(
SELECT SUM(x.rel_info)
FROM (
SELECT f1.term_id, f1.rel_info
FROM graph_path p1, SSM_TermDesc f1
WHERE p1.term2_id = %s
AND p1.term1_id = f1.term_id
AND f1.hindex >= %s
UNION
SELECT f2.term_id, f2.rel_info
FROM graph_path p2, SSM_TermDesc f2
WHERE p2.term2_id = %s
AND p2.term1_id = f2.term_id
AND f2.hindex >= %s)
AS x )""", (id1,id2,h,id1,h,id2,h))
res = cur.fetchone()[0]
if res is None:
res = '0'
return float(res)
def get_IC():
cur = db.cursor()
# check for exact match
query = """SELECT distinct term_id, rel_info, hindex_info, seco_info
FROM SSM_TermDesc"""
# print "QUERY", query
cur.execute(query)
res = cur.fetchall()
return zip(*res)
def get_IC():
cur = db.cursor()
# check for exact match
query = """SELECT distinct term_id, rel_info, hindex_info, seco_info
FROM SSM_TermDesc"""
# print "QUERY", query
cur.execute(query)
res = cur.fetchall()
return zip(*res)
def check_dist_between(cid1, cid2):
cur = db.cursor()
query = """SELECT distance
FROM graph_path
WHERE term1_id = %s and term2_id = %s""" % (cid1, cid2)
cur.execute(query)
res = cur.fetchone()
if res is None:
dist = -1
else:
dist = int(res[0])
return dist
def check_dist_between(cid1, cid2):
cur = db.cursor()
query = """SELECT distance
FROM graph_path
WHERE term1_id = %s and term2_id = %s""" % (cid1, cid2)
cur.execute(query)
res = cur.fetchone()
if res is None:
dist = -1
else:
dist = int(res[0])
return dist
def get_description(id):
cur = db.cursor()
query = """SELECT term_definition
FROM term_definition
WHERE term_id = %s""" % id
cur.execute(query)
res = cur.fetchone()
if res is not None:
return res[0]
else:
return "NA"
def get_description(id):
cur = db.cursor()
query = """SELECT term_definition
FROM term_definition
WHERE term_id = %s""" % id
cur.execute(query)
res = cur.fetchone()
if res is not None:
return res[0]
else:
return "NA"
def termsInCommon(id1, id2):
cur = db.cursor()
cur.execute("""SELECT COUNT(i.rel_info)
FROM graph_path p1, graph_path p2, SSM_TermDesc i
WHERE p1.term2_id = %s
AND p2.term2_id = %s
AND p1.term1_id = p2.term1_id
AND p1.term1_id = i.term_id;""", (id1, id2))
res = cur.fetchone()[0]
if res is None:
res = '0'
return int(res)
def resnik(id1, id2):
cur = db.cursor()
cur.execute("""SELECT MAX(i.rel_info)
FROM graph_path p1, graph_path p2, SSM_TermDesc i
WHERE p1.term2_id = %s
AND p2.term2_id = %s
AND p1.term1_id = p2.term1_id
AND p1.term1_id = i.term_id;""", (id1, id2))
#r = cur.store_result()
res = cur.fetchone()[0]
#print id1, id2, res
if res is None:
res = '0'
return float(res)
def load_synonyms():
syns = []
cur = db.cursor()
query = """SELECT id, name
FROM term """
cur.execute(query)
ids = cur.fetchall()
for i in ids:
print "getting synonyms for" + i[1].lower() + '(' + str(i[0]) + ')',
synset = set()
synset.add(i[1].lower())
query = """SELECT term_synonym
FROM term_synonym
WHERE term_id = %s""" % i[0]
cur.execute(query)
names = cur.fetchall()
print len(names)
for name in names:
#print name[0],
synset.add(name[0].lower())
syns.append(synset)
pickle.dump(syns, open("data/chebi_synonyms.pickle", 'wb'))
print "done"
def load_synonyms():
syns = []
cur = db.cursor()
query = """SELECT id, name
FROM term """
cur.execute(query)
ids = cur.fetchall()
for i in ids:
print "getting synonyms for" + i[1].lower() + '(' + str(i[0]) + ')',
synset = set()
synset.add(i[1].lower())
query = """SELECT term_synonym
FROM term_synonym
WHERE term_id = %s""" % i[0]
cur.execute(query)
names = cur.fetchall()
print len(names)
for name in names:
#print name[0],
synset.add(name[0].lower())
syns.append(synset)
pickle.dump(syns, open("data/chebi_synonyms.pickle", 'wb'))
print "done"
def find_chebi_term(term, adjust=0):
''' returns tuple (chebiID, chebiTerm, score)
if resolution fails, return ('0', 'null', 0.0)
'''
# print "TERM", term
term = MySQLdb.escape_string(term)
# adjust - adjust the final score
match = ()
cur = db.cursor()
# check for exact match
query = """SELECT distinct id, name
FROM term a
WHERE name =%s and LENGTH(a.name)>0 and star=3;"""
# print "QUERY", query
cur.execute(query, (term,))
res = cur.fetchone()
if res is not None:
# print "1"
score = 1.0 + adjust
match = (str(res[0]), res[1], score)
else:
# synonyms
cur.execute("""SELECT a.term_id, a.term_synonym, b.name
FROM term_synonym a, term b
WHERE a.term_synonym=%s
and b.id=a.term_id
and LENGTH(a.term_synonym)>0
and star=3;""", (term,))
res = cur.fetchone()
if res is not None:
# print "2"
score = 0.8 + adjust
match = (str(res[0]), res[2], score)
else:
# plural - tb pode ser recursivo
if len(term) > 0 and term[-1] == 's':
match = find_chebi_term(term[:-1], -0.1)
#
if not match:
#(1)H -> hydrogen-1
terms = re.sub(r'[\(|\)|\[|\]| ]', ' ', term)
termlist = terms.strip().split(" ")
if len(termlist) == 2:
if termlist[0].isdigit() and termlist[1] in element_base:
match = find_chebi_term(element_base[termlist[1]][0] + "-" + termlist[0], -0.1)
if termlist[1] == '+' and termlist[0] in element_base:
match = find_chebi_term(element_base[termlist[0]][0] + ' cation', -0.1)
if termlist[1] == '-' and termlist[0] in element_base:
match = find_chebi_term(element_base[termlist[0]][0] + ' anion', -0.1)
# if match != '':
# print term, match
if not match:
# partial match
terms = '("' + '","'.join(term.split(" ")) + '")'
query = """
SELECT ((sum(d.ic)/ec)-0.1) as score, e.name, c.term_id, c.id,
group_concat(d.word separator ','), count(d.id), c.descriptor_type
FROM term e JOIN descriptor3 c ON(c.term_id=e.id) JOIN word2term3 b ON (b.descriptor_id=c.id)
JOIN word3 d ON (d.id=b.word_id) JOIN SSM_TermDesc f ON (e.id=f.term_id)
WHERE b.word_id IN
(SELECT distinct id
FROM word3
WHERE word in %s)
GROUP by c.id
ORDER by score desc
LIMIT 3;""" % (terms,)
# print "QUERY3", query, adjust
cur.execute(query)
res = cur.fetchone()
if res is not None:
# print "3"
match = (str(res[3]), res[1], float(res[0]))
# print term, match
if not match or match[2] < 0.0:
match = ('0', 'null', 0.0)
return match
def find_chebi_term(term, adjust=0):
''' returns tuple (chebiID, chebiTerm, score)
if resolution fails, return ('0', 'null', 0.0)
'''
# print "TERM", term
term = MySQLdb.escape_string(term)
# adjust - adjust the final score
match = ()
cur = db.cursor()
# check for exact match
query = """SELECT distinct id, name
FROM term a
WHERE name =%s and LENGTH(a.name)>0 and star=3;"""
# print "QUERY", query
cur.execute(query, (term, ))
res = cur.fetchone()
if res is not None:
# print "1"
score = 1.0 + adjust
match = (str(res[0]), res[1], score)
else:
# synonyms
cur.execute(
"""SELECT a.term_id, a.term_synonym, b.name
FROM term_synonym a, term b
WHERE a.term_synonym=%s
and b.id=a.term_id
and LENGTH(a.term_synonym)>0
and star=3;""", (term, ))
res = cur.fetchone()
if res is not None:
# print "2"
score = 0.8 + adjust
match = (str(res[0]), res[2], score)
else:
# plural - tb pode ser recursivo
if len(term) > 0 and term[-1] == 's':
match = find_chebi_term(term[:-1], -0.1)
#
if not match:
#(1)H -> hydrogen-1
terms = re.sub(r'[\(|\)|\[|\]| ]', ' ', term)
termlist = terms.strip().split(" ")
if len(termlist) == 2:
if termlist[0].isdigit() and termlist[1] in element_base:
match = find_chebi_term(
element_base[termlist[1]][0] + "-" + termlist[0], -0.1)
if termlist[1] == '+' and termlist[0] in element_base:
match = find_chebi_term(
element_base[termlist[0]][0] + ' cation', -0.1)
if termlist[1] == '-' and termlist[0] in element_base:
match = find_chebi_term(
element_base[termlist[0]][0] + ' anion', -0.1)
# if match != '':
# print term, match
if not match:
# partial match
terms = '("' + '","'.join(term.split(" ")) + '")'
query = """
SELECT ((sum(d.ic)/ec)-0.1) as score, e.name, c.term_id, c.id,
group_concat(d.word separator ','), count(d.id), c.descriptor_type
FROM term e JOIN descriptor3 c ON(c.term_id=e.id) JOIN word2term3 b ON (b.descriptor_id=c.id)
JOIN word3 d ON (d.id=b.word_id) JOIN SSM_TermDesc f ON (e.id=f.term_id)
WHERE b.word_id IN
(SELECT distinct id
FROM word3
WHERE word in %s)
GROUP by c.id
ORDER by score desc
LIMIT 3;""" % (terms, )
# print "QUERY3", query, adjust
cur.execute(query)
res = cur.fetchone()
if res is not None:
# print "3"
match = (str(res[3]), res[1], float(res[0]))
# print term, match
if not match or match[2] < 0.0:
match = ('0', 'null', 0.0)
return match
