def countwords(document):
print "COUNT", document
docname = document['name']
outfile = "wordcount-" + docname
sw = SwiftTextContainer()
count = dict()
wordcount = dict()
n = 0
for offset,line in sw.document_lines(docname):
try:
doc = json.loads(line.decode('utf-8'))
except:
sys.stdout.write('!*!')
sys.stdout.flush()
continue
try:
year = doc['date'][:4]
wc = int(doc['wordCount'])
if year in count:
count[year] += 1
else:
count[year] = 0
if year in wordcount:
wordcount[year] += wc
else:
wordcount[year] = wc
n += 1
if n % INTERVAL == 0:
write(count, wordcount, outfile)
sys.stdout.write("%s|" % n)
sys.stdout.flush()
except:
pass
class TroveSwiftIndexBuilder(TroveIndexBuilder):
"""Build an index for documents stored in a Swift object store"""
def __init__(self, datafile, out='index.idx'):
"""Create a Trove Index containing offsets of each document write it to a file.
datafile - the name of the source data file, can be gzipped or plain text
outdir - output directory, default 'index'
"""
self.swifttext = SwiftTextContainer()
self.datafile = datafile
super(TroveSwiftIndexBuilder, self).__init__(datafile, out)
def add_to_index(self, id, offset, length):
"""Add this id/offset pair to the index
"""
# for swift we use the file baseam
self.out.write("%s, %d, %d, %s\n" % (id, offset, length, os.path.basename(self.datafile)))
def _build_index(self):
"""Build an index of the documents in the datafile
"""
for offset, line in self.swifttext.document_lines(self.datafile):
try:
data = json.loads(line.decode('utf-8'))
except:
print "Bad line: ", offset, line
continue
if 'id' in data:
id = data['id']
self.add_to_index(id, offset, len(line))
else:
print "Bad line: ", line
