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#!/opt/local/bin/python2.7
import bz2
import cPickle
import imghdr
import math
import multiprocessing
import os
import Queue
import random
import sys

import pHash

from image import Image

NUM_WORKERS = 7

# Build index
# TODO: write more schtuff here

class IndexWorker(multiprocessing.Process):

def __init__(self, file_list, queue):
multiprocessing.Process.__init__(self)
self.file_list = file_list
self.queue = queue

def run(self):

list_size = len(self.file_list)
ctr = 0
for file_path in self.file_list:
ctr += 1
percent_done = int((float(ctr) / list_size) * 100)
# We can only index jpegs right now
if not imghdr.what(file_path) == 'jpeg':
continue
print '{:d} -- {:3d}% -- {:s}'.format(self.pid, percent_done,
file_path)
image_obj = Image(file_path)

self.queue.put(image_obj, True)



def main():

# Make sure at least one command line argument was provided
if len(sys.argv) < 2:
print 'Usage: build_index_faster.py <path>'
return -1;

# Print out the path we're walking
path = sys.argv[1]
print 'Building image index from path: {:s}\n'.format(path)

master_file_list = []
image_index = []

# Walk the root path and create a list of all files in the root path
for root, dirs, files in os.walk(path):
for file in files:
master_file_list.append(os.path.join(root, file))

random.shuffle(master_file_list)

print 'Done counting, {:d} files total.'.format(len(master_file_list))

workers = []
queue = multiprocessing.Queue(64)

def chunker(seq, size):
return (seq[pos:pos + size] for pos in xrange(0, len(seq), size))

chunk_size = int(math.ceil(len(master_file_list) / NUM_WORKERS))

# Create worker processes
for work_chunk in chunker(master_file_list, chunk_size):
workers.append(IndexWorker(work_chunk, queue))

# Start workers
for worker in workers:
worker.start()

print 'Waiting for workers to complete'

# Loop until all workers are finished
while any([w.is_alive() for w in workers]):
try:
image_obj = queue.get(True, 2)
image_index.append(image_obj)
except Queue.Empty:
print 'Queue was empty'
continue

print 'Workers are complete: {:d} images found'.format(len(image_index))

# Write index as a bzip2'd file to save space
index_file = bz2.BZ2File('images_index.bz2', 'w')
cPickle.dump(image_index, index_file)
index_file.close()

print '\nIndex file images_index.bz2 created. Done.'

if __name__ == '__main__':
sys.exit(main())
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