def add_chunk(author_id, text_id, text_chunk_number, chunk_text):
print "Creating chunk: %s" % (str(text_chunk_number))
chunk = Chunk(author_id=author_id, text_id=text_id, text_chunk_number=text_chunk_number)
print "Fingerprinting chunk"
fingerprint = classifier.compute_fingerprint.fingerprint_text(chunk_text)
for key in fingerprint.keys():
setattr(chunk, key, fingerprint[key])
chunk.save()
print "Processed chunk with id %s" % (str(chunk.id))
return True
def create_text_average_chunk(text_id):
text = Text.objects.get(pk=text_id)
if (text.average_chunk is not None):
text.average_chunk.delete()
chunks = Chunk.get_chunks().filter(text=text)
print "averaging %i chunks" % (len(chunks))
average_fingerprint = Chunk.get_average_fingerprint_of_chunks(chunks)
chunk = Chunk.objects.create()
for key in average_fingerprint.keys():
setattr(chunk, key, average_fingerprint[key])
chunk.text = text
chunk.save()
text.average_chunk = chunk
text.save()
return True
def create_author_average_chunk(author_id):
author = Author.objects.get(pk=author_id)
if (author.average_chunk is not None):
author.average_chunk.delete()
chunks = []
texts = Text.objects.filter(author=author)
for text in texts:
chunks.append(text.average_chunk)
print "averaging %i chunks" % (len(chunks))
average_fingerprint = Chunk.get_average_fingerprint_of_chunks(chunks)
chunk = Chunk.objects.create()
for key in average_fingerprint.keys():
setattr(chunk, key, average_fingerprint[key])
chunk.author = author
chunk.save()
author.average_chunk = chunk
author.status = "updated"
author.save()
return True
