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Update docx parsing for Pipelines #3546

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Oct 25, 2022
Merged

Update docx parsing for Pipelines #3546

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67 changes: 32 additions & 35 deletions pipelines/pipelines/nodes/file_converter/docx.py
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Original file line number Diff line number Diff line change
Expand Up @@ -117,42 +117,39 @@ def convert(
else:
text_dict['text'].append(text)
# Extracting images from the paragraph
else:
image_list = self.get_image_list(file, paragraph)
# If there are not text and images, adding text_dict to documents
if (image_list is None and bool(text_dict)):
raw_text = ''.join(text_dict['text'])
# If the extracted text is "", skip it
if (raw_text == ''):
continue
meta_data = {}
if (meta is not None and 'name' in meta):
meta_data['name'] = meta['name']
meta_data['images'] = text_dict['images']
document = {
"content": raw_text,
"content_type": "text",
"meta": meta_data
}
documents.append(document)
image_list = self.get_image_list(file, paragraph)
# If there are not text and images, adding text_dict to documents
if (image_list is None and bool(text_dict)):
raw_text = ''.join(text_dict['text'])
# If the extracted text is "", skip it
if (raw_text == ''):
continue
meta_data = {}
if (meta is not None and 'name' in meta):
meta_data['name'] = meta['name']
meta_data['images'] = text_dict['images']
document = {
"content": raw_text,
"content_type": "text",
"meta": meta_data
}
documents.append(document)

text = paragraph.text
text_dict = {'text': [text], 'images': []}
# If there are images, adding image to text_dict
elif (image_list is not None):
for i, image in enumerate(image_list):
if image:
# File extension & file content
ext, blob = image.ext, image.blob
# Using md5 to generate image name and save image into desc_path
md5hash = hashlib.md5(blob)
md5_name = md5hash.hexdigest()
image_name = '{}_{}.{}'.format(md5_name, i, ext)
image_path = os.path.join(self.desc_path,
image_name)
Image.open(BytesIO(blob)).save(image_path)
# Adding image_name into the text_dict as the image for the text
text_dict['images'].append(image_name)
text = paragraph.text
text_dict = {'text': [text], 'images': []}
elif (image_list is not None):
for i, image in enumerate(image_list):
if image:
# File extension & file content
ext, blob = image.ext, image.blob
# Using md5 to generate image name and save image into desc_path
md5hash = hashlib.md5(blob)
md5_name = md5hash.hexdigest()
image_name = '{}_{}.{}'.format(md5_name, i, ext)
image_path = os.path.join(self.desc_path, image_name)
Image.open(BytesIO(blob)).save(image_path)
# Adding image_name into the text_dict as the image for the text
text_dict['images'].append(image_name)
else:
continue
return documents
Expand Down