forked from Mondego/pyreco
/
jedi_zip_test.py
255 lines (228 loc) · 8.81 KB
/
jedi_zip_test.py
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__author__ = 'andreadsouza'
import jedi
import multiprocessing as mp
import sys
import json
from zipfile import ZipFile
LIB="django"
FOLDS=10
def compute_precision_and_recall(pyreco_results, relevant_result):
r_length=1
p=0
r=0
num=0
num1=0
index=0
rr=0
if pyreco_results:
if relevant_result in pyreco_results:
num1+=1
index=pyreco_results.index(relevant_result)+1
rr=1/float(index)
if relevant_result in pyreco_results[:r_length]:
num+=1
p=num/float(r_length)
r=num1/float(r_length)
#index=1/float(index)
return p, r, rr
def run_query(count, fold_no, query_info, q):
print str(count),"Folder-name:"+query_info['folder'], "File:"+query_info['file']
try:
zf=ZipFile(query_info['folder'],'r')
file_lines=[line.rstrip() \
for line in zf.read(query_info['file']).splitlines()]
prev_calls=[]
for call in query_info['calls']:
line_num=call["lineNum"]
query=file_lines[:line_num]
dot_index=query[-1].find(query_info['obj']+'.'+call['tgt'],
call['colOffset'])
if dot_index!=-1:
obj_len=len(query_info['obj'])
query[-1]=query[-1][:dot_index+obj_len+1]
results=[]
try:
script =jedi.Script(source='\n'.join(query),
line=line_num,
column=dot_index+obj_len+1)
completions=script.completions()
if completions:
for completion in completions:
results.append(completion.name)
except:
print "JEDI object returned is None"
p, r, rr=compute_precision_and_recall(results, call['tgt'])
#print p, r, query_info['file']
#print str(count),"Folder-name:"+query_info['folder'], "File:"+query_info['file'],len(prev_calls)+1
q.put((fold_no-1, query_info["type"], results, call['tgt'], p, r, rr, len(prev_calls)+1))
#write_results((fold_no-1, query_info["type"], results, call['tgt'], p, r, rr, len(prev_calls)+1))
prev_calls.append(call['tgt'])
zf.close()
except:
print "Error in run_query",sys.exc_info()
return
def listener(q, lib):
print "in listener"
f=list()
sum_prec=list()
sum_recall=list()
sum_prec_1=list()
sum_prec_2=list()
sum_prec_3=list()
sum_prec_4=list()
sum_rr=list()
count=list()
count_1=list()
count_2=list()
count_3=list()
count_4=list()
avg_prec=0
avg_prec_1=0
avg_prec_2=0
avg_prec_3=0
avg_prec_4=0
avg_recall=0
mean_rr=0
for i in range(FOLDS):
f.append(open('results-zip-jedi/results-'+str(i+1)+'-'+lib+'.txt','w'))
sum_recall.append(0)
sum_rr.append(0)
sum_prec.append(0)
sum_prec_1.append(0)
sum_prec_2.append(0)
sum_prec_3.append(0)
sum_prec_4.append(0)
count.append(0)
count_1.append(0)
count_2.append(0)
count_3.append(0)
count_4.append(0)
while(1):
msg=q.get()
if isinstance(msg, tuple):
n, type, compl_results, relevant_results, p, r, rr, level=msg
f[n].write("Object type:"+type+"\n")
f[n].write("Completion results:"+str(compl_results)+"\n")
f[n].write("Relevant results:"+str(relevant_results)+"\n")
f[n].write("Precision:"+str(p*100)+"\n")
f[n].write("Recall:"+str(r*100)+"\n")
f[n].write("Reciprocal Rank:"+ str(rr)+'\n')
f[n].write("Level:"+str(level)+"\n")
sum_prec[n]+=p
sum_recall[n]+=r
sum_rr[n]+=rr
count[n]+=1
if level==1:
sum_prec_1[n]+=p
count_1[n]+=1
elif level==2:
sum_prec_2[n]+=p
count_2[n]+=1
elif level==3:
sum_prec_3[n]+=p
count_3[n]+=1
else:
sum_prec_4[n]+=p
count_4[n]+=1
f[n].write('-' * 20 + '\n')
f[n].flush()
elif msg=='kill':
print "RECEIVED KILL"
f_summary=open('results-zip-jedi/results-summary-'+lib+'.txt','w')
for i in range(FOLDS):
f[i].close()
if count[i]!=0:
f_summary.write("Fold:"+str(i+1)+"\n")
f_summary.write("Num_queries:"+str(count[i])+"\n")
f_summary.write("Avg Precision:"+str((sum_prec[i]/float(count[i]))*100)+"\n")
f_summary.write("Avg Recall:"+str((sum_recall[i]/float(count[i]))*100)+"\n")
f_summary.write("Mean RR:"+str(sum_rr[i]/float(count[i]))+"\n")
if count_1[i]!=0:
f_summary.write("Avg Precision for 1st guess:"+str((sum_prec_1[i]/float(count_1[i]))*100)+"\n")
avg_prec_1+=sum_prec_1[i]
if count_2[i]!=0:
f_summary.write("Avg Precision for 2nd guess:"+str((sum_prec_2[i]/float(count_2[i]))*100)+"\n")
avg_prec_2+=sum_prec_2[i]
if count_3[i]!=0:
f_summary.write("Avg Precision for 3rd guess:"+str((sum_prec_3[i]/float(count_3[i]))*100)+"\n")
avg_prec_3+=sum_prec_3[i]
if count_4[i]!=0:
f_summary.write("Avg Precision for 4 or more guess:"+str((sum_prec_4[i]/float(count_4[i]))*100)+"\n")
avg_prec_4+=sum_prec_4[i]
f_summary.write('-' * 20 + '\n')
avg_prec+=sum_prec[i]
avg_recall+=sum_recall[i]
mean_rr+=sum_rr[i]
avg_prec/=sum(count)
avg_recall/=sum(count)
avg_prec_1/=sum(count_1)
avg_prec_2/=sum(count_2)
avg_prec_3/=sum(count_3)
avg_prec_4/=sum(count_4)
mean_rr/=sum(count)
f_summary.write("Avg Precision in all folds:"+str(avg_prec*100)+"\n")
f_summary.write("Avg Recall in all folds:"+str(avg_recall*100)+"\n")
f_summary.write("Mean RR in all folds:"+str(mean_rr)+"\n")
f_summary.write("Avg Precision for 1st guess in all folds:"+str(avg_prec_1*100)+"\n")
f_summary.write("Count for 1st guess:"+str(sum(count_1))+"\n")
f_summary.write("Avg Precision for 2nd guess in all folds:"+str(avg_prec_2*100)+"\n")
f_summary.write("Count for 2nd guess:"+str(sum(count_2))+"\n")
f_summary.write("Avg Precision for 3rd guess in all folds:"+str(avg_prec_3*100)+"\n")
f_summary.write("Count for 3rd guess:"+str(sum(count_3))+"\n")
f_summary.write("Avg Precision for 4th or more guess guess in all folds:"+str(avg_prec_4*100)+"\n")
f_summary.write("Count for 4th guess:"+str(sum(count_4))+"\n")
f_summary.close()
break
def run_queries(count,fold_no, prj_query, q):
delim='-'*20+'\n'
queries=prj_query.split(delim)
for query in queries:
query_json=json.loads(query)
#print query
#print "blah"
run_query(count, fold_no, query_json, q)
def main():
#context_features=raw_input("arg_type, arg_value, object_name:")
Q_LIBS=[]
for line in open('Top100.txt','r'):
lib=line.split(':')[0]
print "LIB:",lib
Q_LIBS.append(
lib
)
for LIB in Q_LIBS:
query_file='queries/query-'+LIB+'.txt'
manager=mp.Manager()
pool=mp.Pool(mp.cpu_count())
q=manager.Queue()
watcher=pool.apply_async(listener,(q,LIB))
jobs=[]
count=0
with open(query_file,'r') as file:
query=""
for line in file:
if line.strip()=='$' * 20:
try:
#query_json=json.loads(query)
#if query_json['folder']=='/home/andrea/github-projects-50/django-django.zip':
count+=1
job=pool.apply_async(run_queries,(count,count%FOLDS+1,query, q))
jobs.append(job)
query=""
except:
print "Unexpected error in worker:", sys.exc_info()[0]
pass
else:
query+=line
print "Sent jobs for processing"
for job in jobs:
try:
job.get()
except:
pass
q.put('kill')
pool.close()
pool.join()
#write_results('kill')
if __name__ == '__main__':
main()