def analyze(pfile_pk, filename, agent_pk, model, db):
pfile = -1
try:
pfile = int(pfile_pk)
except ValueError:
print >> sys.stdout, 'ERROR: Provided pfile_pk is not a number: %r' % line
return -1
path = libfosspython.repMkPath('files', filename)
if (not os.path.exists(path)):
print >> sys.stdout, 'ERROR: File not found. path=%s' % (path)
return -1
text = open(path).read(READMAX)
offsets = library.label_file(text,model)
if len(offsets) == 0:
sql = """INSERT INTO copyright (agent_fk, pfile_fk, copy_startbyte, copy_endbyte, content, hash, type)
VALUES (%d, %d, NULL, NULL, NULL, NULL, 'statement')""" % (agent_pk, pfile)
result = db.access(sql)
if result != 0:
print >> sys.stdout, "ERROR: DB Access error, returned %d.\nERROR: DB STATUS: %s\nERROR: DB ERRMSG: %s\nERROR: sql=%sERROR: filename=%s" % (result, db.status(), db.errmsg(), sql, filename)
return -1
else:
for i in range(len(offsets)):
str = text[offsets[i][0]:offsets[i][1]]
str = str.decode('ascii', 'ignore') # make sure that it is using ascii encoding
pd = library.parsetext(str)
str = re.escape(' '.join([token[1] for token in pd]))
sql = """INSERT INTO copyright (agent_fk, pfile_fk, copy_startbyte, copy_endbyte, content, hash, type)
VALUES (%d, %d, %d, %d, E'%s', E'%s', '%s')""" % (agent_pk, pfile, offsets[i][0], offsets[i][1],
str, hex(abs(hash(str))),
offsets[i][2])
result = db.access(sql)
if result != 0:
print >> sys.stdout, "ERROR: (nonfatal) DB Access error, returned %d.\nERROR: DB STATUS: %s\nERROR: DB ERRMSG: %s\nERROR: sql=%s\nERROR: filename=%s" % (result, db.status(), db.errmsg(), sql, filename)
return 0
try:
model = pickle.load(open(options.model))
except:
print >> sys.stdout, 'You must specify a training file to create a model.\n\n'
optparser.print_usage()
sys.exit(1)
if options.version:
print "Source hash: %s" % hex(abs(hash(open(sys.argv[0]).read())))
print 'Model hash: %s' % (model['id'])
if options.analyze_from_file:
files = [line.rstrip() for line in open(options.analyze_from_file).readlines()]
for file in files:
text = open(file).read(READMAX)
results = library.label_file(text,model)
print "%s :: " % (file)
if len(results) == 0:
print "No copyrights"
for i in range(len(results)):
print "\t[%d:%d:%s] %r" % (results[i][0], results[i][1], results[i][2], text[results[i][0]:results[i][1]])
if options.analyze_from_command_line:
files = args
for file in files:
text = open(file).read(READMAX)
results = library.label_file(text,model)
print "%s :: " % (file)
if len(results) == 0:
print "No copyrights"
for i in range(len(results)):