init README of deepdoc, add picture processer. (#71)

* init README of deepdoc, add picture processer.

* add resume parsing

deepdoc/parser/ppt_parser.py

@@ -0,0 +1,52 @@
+#  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