ragflow/deepdoc/parser/ppt_parser.py

#  Licensed under the Apache License, Version 2.0 (the "License");
#  you may not use this file except in compliance with the License.
#  You may obtain a copy of the License at
#
#      http://www.apache.org/licenses/LICENSE-2.0
#
#  Unless required by applicable law or agreed to in writing, software
#  distributed under the License is distributed on an "AS IS" BASIS,
#  WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
#  See the License for the specific language governing permissions and
#  limitations under the License.
#
from io import BytesIO
from pptx import Presentation


class HuPptParser(object):
    def __init__(self):
        super().__init__()

    def __extract(self, shape):
        if shape.shape_type == 19:
            tb = shape.table
            rows = []
            for i in range(1, len(tb.rows)):
                rows.append("; ".join([tb.cell(0, j).text + ": " + tb.cell(i, j).text for j in range(len(tb.columns)) if tb.cell(i, j)]))
            return "\n".join(rows)

        if shape.has_text_frame:
            return shape.text_frame.text

        if shape.shape_type == 6:
            texts = []
            for p in shape.shapes:
                t = self.__extract(p)
                if t: texts.append(t)
            return "\n".join(texts)

    def __call__(self, fnm, from_page, to_page, callback=None):
        ppt = Presentation(fnm) if isinstance(
            fnm, str) else Presentation(
            BytesIO(fnm))
        txts = []
        self.total_page = len(ppt.slides)
        for i, slide in enumerate(ppt.slides[from_page: to_page]):
            texts = []
            for shape in slide.shapes:
                txt = self.__extract(shape)
                if txt: texts.append(txt)
            txts.append("\n".join(texts))

        return txts