Add example code of binary/text data conversion.

textsum/README.md

@@ -27,6 +27,8 @@ for example vocabulary format. In <b>How To Run</b> below, users can use toy
 data and vocab provided in the data/ directory to run the training by replacing
 the data directory flag.
 
+data_convert_example.py contains example of convert between binary and text.
+
 
 <b>Experiment Result</b>
 

textsum/data_convert_example.py

@@ -0,0 +1,65 @@
+"""Example of Converting TextSum model data.
+Usage:
+python data_convert_example.py --command binary_to_text --in_file data/data --out_file data/text_data
+python data_convert_example.py --command text_to_binary --in_file data/text_data --out_file data/binary_data
+python data_convert_example.py --command binary_to_text --in_file data/binary_data --out_file data/text_data2
+diff data/text_data2 data/text_data
+"""
+
+import struct
+import sys
+
+import tensorflow as tf
+from tensorflow.core.example import example_pb2
+
+FLAGS = tf.app.flags.FLAGS
+tf.app.flags.DEFINE_string('command', 'binary_to_text',
+                           'Either binary_to_text or text_to_binary.'
+                           'Specify FLAGS.in_file accordingly.')
+tf.app.flags.DEFINE_string('in_file', '', 'path to file')
+tf.app.flags.DEFINE_string('out_file', '', 'path to file')
+
+def _binary_to_text():
+  reader = open(FLAGS.in_file, 'rb')
+  writer = open(FLAGS.out_file, 'w')
+  while True:
+    len_bytes = reader.read(8)
+    if not len_bytes:
+      sys.stderr.write('Done reading\n')
+      return
+    str_len = struct.unpack('q', len_bytes)[0]
+    tf_example_str = struct.unpack('%ds' % str_len, reader.read(str_len))[0]
+    tf_example = example_pb2.Example.FromString(tf_example_str)
+    examples = []
+    for key in tf_example.features.feature:
+      examples.append('%s=%s' % (key, tf_example.features.feature[key].bytes_list.value[0]))
+    writer.write('%s\n' % '\t'.join(examples))
+  reader.close()
+  writer.close()
+
+
+def _text_to_binary():
+  inputs = open(FLAGS.in_file, 'r').readlines()
+  writer = open(FLAGS.out_file, 'wb')
+  for inp in inputs:
+    tf_example = example_pb2.Example()
+    for feature in inp.strip().split('\t'):
+      (k, v) = feature.split('=')
+      tf_example.features.feature[k].bytes_list.value.extend([v])
+    tf_example_str = tf_example.SerializeToString()
+    str_len = len(tf_example_str)
+    writer.write(struct.pack('q', str_len))
+    writer.write(struct.pack('%ds' % str_len, tf_example_str))
+  writer.close()
+
+
+def main(unused_argv):
+  assert FLAGS.command and FLAGS.in_file and FLAGS.out_file
+  if FLAGS.command == 'binary_to_text':
+    _binary_to_text()
+  elif FLAGS.command == 'text_to_binary':
+    _text_to_binary()
+
+
+if __name__ == '__main__':
+  tf.app.run()