Add app to rag module: presentaion & laws (#43)

api/utils/file_utils.py

@@ -150,4 +150,4 @@ def filename_type(filename):
         return FileType.AURAL.value
 
     if re.match(r".*\.(jpg|jpeg|png|tif|gif|pcx|tga|exif|fpx|svg|psd|cdr|pcd|dxf|ufo|eps|ai|raw|WMF|webp|avif|apng|icon|ico|mpg|mpeg|avi|rm|rmvb|mov|wmv|asf|dat|asx|wvx|mpe|mpa|mp4)$", filename):
-        return FileType.VISUAL
+        return FileType.VISUAL

rag/app/__init__.py

@@ -0,0 +1,48 @@
+import re
+
+
+def callback__(progress, msg, func):
+    if not func :return
+    func(progress, msg)
+
+
+BULLET_PATTERN = [[
+        r"第[零一二三四五六七八九十百]+编",
+        r"第[零一二三四五六七八九十百]+章",
+        r"第[零一二三四五六七八九十百]+节",
+        r"第[零一二三四五六七八九十百]+条",
+        r"[\(（][零一二三四五六七八九十百]+[\)）]",
+    ], [
+        r"[0-9]{,3}[\. 、]",
+        r"[0-9]{,2}\.[0-9]{,2}",
+        r"[0-9]{,2}\.[0-9]{,2}\.[0-9]{,2}",
+        r"[0-9]{,2}\.[0-9]{,2}\.[0-9]{,2}\.[0-9]{,2}",
+    ], [
+        r"[零一二三四五六七八九十百]+[ 、]",
+        r"[\(（][零一二三四五六七八九十百]+[\)）]",
+        r"[\(（][0-9]{,2}[\)）]",
+    ] ,[
+        r"PART (ONE|TWO|THREE|FOUR|FIVE|SIX|SEVEN|EIGHT|NINE|TEN)",
+        r"Chapter (I+V?|VI*|XI|IX|X)",
+        r"Section [0-9]+",
+        r"Article [0-9]+"
+    ]
+    ]
+
+
+def bullets_category(sections):
+    global BULLET_PATTERN
+    hits = [0] * len(BULLET_PATTERN)
+    for i, pro in enumerate(BULLET_PATTERN):
+        for sec in sections:
+            for p in pro:
+                if re.match(p, sec):
+                    hits[i] += 1
+                    break
+    maxium = 0
+    res = -1
+    for i,h in enumerate(hits):
+        if h <= maxium:continue
+        res = i
+        maxium = h
+    return res

rag/app/laws.py

@@ -0,0 +1,192 @@
+import copy
+import re
+from io import BytesIO
+from docx import Document
+import numpy as np
+from rag.app import callback__, bullets_category, BULLET_PATTERN
+from rag.nlp import huqie
+from rag.parser.pdf_parser import HuParser
+
+
+class Docx(object):
+    def __init__(self):
+        pass
+
+    def __clean(self, line):
+        line = re.sub(r"\u3000", " ", line).strip()
+        return line
+
+    def __call__(self, filename, binary=None):
+        self.doc = Document(
+            filename) if not binary else Document(BytesIO(binary))
+        lines = [self.__clean(p.text) for p in self.doc.paragraphs]
+        return [l for l in lines if l]
+
+
+class Pdf(HuParser):
+    def __call__(self, filename, binary=None, from_page=0,
+                 to_page=100000, zoomin=3, callback=None):
+        self.__images__(
+            filename if not binary else binary,
+            zoomin,
+            from_page,
+            to_page)
+        callback__((min(to_page, self.total_page) - from_page) / self.total_page / 2,
+                   "Page {}~{}: OCR finished".format(from_page, min(to_page, self.total_page)), callback)
+
+        from timeit import default_timer as timer
+        start = timer()
+        self._layouts_paddle(zoomin)
+        callback__((min(to_page, self.total_page) - from_page) / self.total_page / 2,
+                   "Page {}~{}: Layout analysis finished".format(from_page, min(to_page, self.total_page)), callback)
+        print("paddle layouts:", timer()-start)
+        bxs = self.sort_Y_firstly(self.boxes, np.median(self.mean_height) / 3)
+        # is it English
+        eng = 0
+        for b in bxs:
+            if re.match(r"[a-zA-Z]", b["text"].strip()):
+                eng += 1
+        if eng / len(bxs) > 0.8:
+            eng = True
+        else:
+            eng = False
+        # Merge vertically
+        i = 0
+        while i + 1 < len(bxs):
+            b = bxs[i]
+            b_ = bxs[i + 1]
+            if b["page_number"] < b_["page_number"] and re.match(r"[0-9  •一—-]+$", b["text"]):
+                bxs.pop(i)
+                continue
+            concatting_feats = [
+                b["text"].strip()[-1] in ",;:'\"，、‘“；：",
+                len(b["text"].strip())>1 and b["text"].strip()[-2] in ",;:'\"，‘“、；：",
+                b["text"].strip()[0] in "。；？！?”）),，、：",
+            ]
+            # features for not concating
+            feats = [
+                b.get("layoutno",0) != b.get("layoutno",0),
+                b["text"].strip()[-1] in "。？！?",
+                eng and b["text"].strip()[-1] in ".!?",
+                b["page_number"] == b_["page_number"] and b_["top"] - \
+                b["bottom"] > self.mean_height[b["page_number"] - 1] * 1.5,
+                b["page_number"] < b_["page_number"] and abs(
+                    b["x0"] - b_["x0"]) > self.mean_width[b["page_number"] - 1] * 4
+            ]
+            if any(feats) and not any(concatting_feats):
+                i += 1
+                continue
+            # merge up and down
+            b["bottom"] = b_["bottom"]
+            b["text"] += b_["text"]
+            b["x0"] = min(b["x0"], b_["x0"])
+            b["x1"] = max(b["x1"], b_["x1"])
+            bxs.pop(i + 1)
+
+        callback__((min(to_page, self.total_page) - from_page) / self.total_page / 2,
+                   "Page {}~{}: Text extraction finished".format(from_page, min(to_page, self.total_page)), callback)
+
+        return [b["text"] + self._line_tag(b, zoomin) for b in bxs]
+
+
+def chunk(filename, binary=None, from_page=0, to_page=100000, callback=None):
+    doc = {
+        "docnm_kwd": filename,
+        "title_tks": huqie.qie(re.sub(r"\.[a-zA-Z]+$", "", filename))
+    }
+    doc["title_sm_tks"] = huqie.qieqie(doc["title_tks"])
+    pdf_parser = None
+    sections = []
+    if re.search(r"\.docx?$", filename, re.IGNORECASE):
+        for txt in Docx()(filename, binary):
+            sections.append(txt)
+    if re.search(r"\.pdf$", filename, re.IGNORECASE):
+        pdf_parser = Pdf()
+        for txt in pdf_parser(filename if not binary else binary,
+                         from_page=from_page, to_page=to_page, callback=callback):
+            sections.append(txt)
+    if re.search(r"\.txt$", filename, re.IGNORECASE):
+        txt = ""
+        if binary:txt = binary.decode("utf-8")
+        else:
+            with open(filename, "r") as f:
+                while True:
+                    l = f.readline()
+                    if not l:break
+                    txt += l
+            sections = txt.split("\n")
+        sections = [l for l in sections if l]
+
+    # is it English
+    eng = 0
+    for sec in sections:
+        if re.match(r"[a-zA-Z]", sec.strip()):
+            eng += 1
+    if eng / len(sections) > 0.8:
+        eng = True
+    else:
+        eng = False
+    # Remove 'Contents' part
+    i = 0
+    while i < len(sections):
+        if not re.match(r"(Contents|目录|目次)$", re.sub(r"( | |\u3000)+", "", sections[i].split("@@")[0])):
+            i += 1
+            continue
+        sections.pop(i)
+        if i >= len(sections): break
+        prefix = sections[i].strip()[:3] if not eng else " ".join(sections[i].strip().split(" ")[:2])
+        while not prefix:
+            sections.pop(i)
+            if i >= len(sections): break
+            prefix = sections[i].strip()[:3] if not eng else " ".join(sections[i].strip().split(" ")[:2])
+        sections.pop(i)
+        if i >= len(sections) or not prefix: break
+        for j in range(i, min(i+128, len(sections))):
+            if not re.match(prefix, sections[j]):
+                continue
+            for k in range(i, j):sections.pop(i)
+            break
+
+    bull = bullets_category(sections)
+    projs = [len(BULLET_PATTERN[bull])] * len(sections)
+    for i, sec in enumerate(sections):
+        for j,p in enumerate(BULLET_PATTERN[bull]):
+            if re.match(p, sec.strip()):
+                projs[i] = j
+                break
+    readed = [0] * len(sections)
+    cks = []
+    for pr in range(len(BULLET_PATTERN[bull])-1, 1, -1):
+        for i in range(len(sections)):
+            if readed[i] or projs[i] < pr:
+                continue
+            # find father and grand-father and grand...father
+            p = projs[i]
+            readed[i] = 1
+            ck = [sections[i]]
+            for j in range(i-1, -1, -1):
+                if projs[j] >= p:continue
+                ck.append(sections[j])
+                readed[j] = 1
+                p = projs[j]
+                if p == 0: break
+            cks.append(ck[::-1])
+
+    res = []
+    # wrap up to es documents
+    for ck in cks:
+        print("\n-".join(ck))
+        ck = "\n".join(ck)
+        d = copy.deepcopy(doc)
+        if pdf_parser:
+            d["image"] = pdf_parser.crop(ck)
+            ck = pdf_parser.remove_tag(ck)
+        d["content_ltks"] = huqie.qie(ck)
+        d["content_sm_ltks"] = huqie.qieqie(d["content_ltks"])
+        res.append(d)
+    return res
+
+
+if __name__ == "__main__":
+    import sys
+    chunk(sys.argv[1])

rag/app/presentation.py

@@ -0,0 +1,127 @@
+import copy
+import re
+from io import BytesIO
+from pptx import Presentation
+
+from rag.app import callback__
+from rag.nlp import huqie
+from rag.parser.pdf_parser import HuParser
+
+
+class Ppt(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))
+            callback__((i+1)/self.total_page/2, "", callback)
+
+        callback__((min(to_page, self.total_page) - from_page) / self.total_page,
+                   "Page {}~{}: Text extraction finished".format(from_page, min(to_page, self.total_page)), callback)
+        import aspose.slides as slides
+        import aspose.pydrawing as drawing
+        imgs = []
+        with slides.Presentation(BytesIO(fnm)) as presentation:
+            for i, slide in enumerate(presentation.slides[from_page: to_page]):
+                buffered = BytesIO()
+                slide.get_thumbnail(0.5, 0.5).save(buffered, drawing.imaging.ImageFormat.jpeg)
+                imgs.append(buffered.getvalue())
+        assert len(imgs) == len(txts), "Slides text and image do not match: {} vs. {}".format(len(imgs), len(txts))
+        callback__((min(to_page, self.total_page) - from_page) / self.total_page,
+                   "Page {}~{}: Image extraction finished".format(from_page, min(to_page, self.total_page)), callback)
+
+        return [(txts[i], imgs[i]) for i in range(len(txts))]
+
+
+class Pdf(HuParser):
+    def __init__(self):
+        super().__init__()
+
+    def __garbage(self, txt):
+        txt = txt.lower().strip()
+        if re.match(r"[0-9\.,%/-]+$", txt): return True
+        if len(txt) < 3:return True
+        return False
+
+    def __call__(self, filename, binary=None, from_page=0, to_page=100000, zoomin=3, callback=None):
+        self.__images__(filename if not binary else binary, zoomin, from_page, to_page)
+        callback__((min(to_page, self.total_page)-from_page) / self.total_page, "Page {}~{}: OCR finished".format(from_page, min(to_page, self.total_page)), callback)
+        assert len(self.boxes) == len(self.page_images), "{} vs. {}".format(len(self.boxes), len(self.page_images))
+        res = []
+        #################### More precisely ###################
+        # self._layouts_paddle(zoomin)
+        # self._text_merge()
+        # pages = {}
+        # for b in self.boxes:
+        #     if self.__garbage(b["text"]):continue
+        #     if b["page_number"] not in pages: pages[b["page_number"]] = []
+        #     pages[b["page_number"]].append(b["text"])
+        # for i, lines in pages.items():
+        #     res.append(("\n".join(lines), self.page_images[i-1]))
+        # return res
+        ########################################
+
+        for i in range(len(self.boxes)):
+            lines = "\n".join([b["text"] for b in self.boxes[i] if not self.__garbage(b["text"])])
+            res.append((lines, self.page_images[i]))
+        return res
+
+
+def chunk(filename, binary=None,  from_page=0, to_page=100000, callback=None):
+    doc = {
+        "docnm_kwd": filename,
+        "title_tks": huqie.qie(re.sub(r"\.[a-zA-Z]+$", "", filename))
+    }
+    doc["title_sm_tks"] = huqie.qieqie(doc["title_tks"])
+    res = []
+    if re.search(r"\.pptx?$", filename, re.IGNORECASE):
+        for txt,img in Ppt()(filename if not binary else binary, from_page, to_page, callback):
+            d = copy.deepcopy(doc)
+            d["content_ltks"] = huqie.qie(txt)
+            d["content_sm_ltks"] = huqie.qieqie(d["content_ltks"])
+            d["image"] = img
+            res.append(d)
+        return res
+    if re.search(r"\.pdf$", filename, re.IGNORECASE):
+        for txt,img in Pdf()(filename if not binary else binary, from_page=from_page, to_page=to_page, callback=callback):
+            d = copy.deepcopy(doc)
+            d["content_ltks"] = huqie.qie(txt)
+            d["content_sm_ltks"] = huqie.qieqie(d["content_ltks"])
+            d["image"] = img
+            res.append(d)
+        return res
+    callback__(-1, "This kind of presentation document did not support yet!", callback)
+
+
+if __name__== "__main__":
+    import sys
+    print(chunk(sys.argv[1]))
+

rag/nlp/huchunk.py

@@ -352,11 +352,6 @@ class ExcelChunker(HuChunker):
 
 class PptChunker(HuChunker):
 
-    @dataclass
-    class Fields:
-        text_chunks: List = None
-        table_chunks: List = None
-
     def __init__(self):
         super().__init__()
 

rag/parser/pdf_parser.py

@@ -370,7 +370,7 @@ class HuParser:
             res.append(lts)
         return res
 
-    def __table_transformer_job(self, ZM):
+    def _table_transformer_job(self, ZM):
         logging.info("Table processing...")
         imgs, pos = [], []
         tbcnt = [0]
@@ -416,6 +416,50 @@ class HuParser:
                     pg.append(it)
             self.tb_cpns.extend(pg)
 
+        def gather(kwd, fzy=10, ption=0.6):
+            eles = self.sort_Y_firstly(
+                [r for r in self.tb_cpns if re.match(kwd, r["label"])], fzy)
+            eles = self.__layouts_cleanup(self.boxes, eles, 5, ption)
+            return self.sort_Y_firstly(eles, 0)
+
+        # add R,H,C,SP tag to boxes within table layout
+        headers = gather(r".*header$")
+        rows = gather(r".* (row|header)")
+        spans = gather(r".*spanning")
+        clmns = sorted([r for r in self.tb_cpns if re.match(
+            r"table column$", r["label"])], key=lambda x: (x["pn"], x["layoutno"], x["x0"]))
+        clmns = self.__layouts_cleanup(self.boxes, clmns, 5, 0.5)
+        for b in self.boxes:
+            if b.get("layout_type", "") != "table":
+                continue
+            ii = self.__find_overlapped_with_threashold(b, rows, thr=0.3)
+            if ii is not None:
+                b["R"] = ii
+                b["R_top"] = rows[ii]["top"]
+                b["R_bott"] = rows[ii]["bottom"]
+
+            ii = self.__find_overlapped_with_threashold(b, headers, thr=0.3)
+            if ii is not None:
+                b["H_top"] = headers[ii]["top"]
+                b["H_bott"] = headers[ii]["bottom"]
+                b["H_left"] = headers[ii]["x0"]
+                b["H_right"] = headers[ii]["x1"]
+                b["H"] = ii
+
+            ii = self.__find_overlapped_with_threashold(b, clmns, thr=0.3)
+            if ii is not None:
+                b["C"] = ii
+                b["C_left"] = clmns[ii]["x0"]
+                b["C_right"] = clmns[ii]["x1"]
+
+            ii = self.__find_overlapped_with_threashold(b, spans, thr=0.3)
+            if ii is not None:
+                b["H_top"] = spans[ii]["top"]
+                b["H_bott"] = spans[ii]["bottom"]
+                b["H_left"] = spans[ii]["x0"]
+                b["H_right"] = spans[ii]["x1"]
+                b["SP"] = ii
+
     def __ocr_paddle(self, pagenum, img, chars, ZM=3):
         bxs = self.ocr.ocr(np.array(img), cls=True)[0]
         if not bxs:
@@ -453,7 +497,7 @@ class HuParser:
 
         self.boxes.append(bxs)
 
-    def __layouts_paddle(self, ZM):
+    def _layouts_paddle(self, ZM):
         assert len(self.page_images) == len(self.boxes)
         # Tag layout type
         boxes = []
@@ -524,7 +568,24 @@ class HuParser:
 
         self.boxes = boxes
 
-    def __text_merge(self, garbage):
+        garbage = set()
+        for k in self.garbages.keys():
+            self.garbages[k] = Counter(self.garbages[k])
+            for g, c in self.garbages[k].items():
+                if c > 1:
+                    garbage.add(g)
+
+        logging.debug("GARBAGE:" + ",".join(garbage))
+        self.boxes = [b for b in self.boxes if b["text"].strip() not in garbage]
+
+        # cumlative Y
+        for i in range(len(self.boxes)):
+            self.boxes[i]["top"] += \
+                self.page_cum_height[self.boxes[i]["page_number"] - 1]
+            self.boxes[i]["bottom"] += \
+                self.page_cum_height[self.boxes[i]["page_number"] - 1]
+
+    def _text_merge(self):
         # merge adjusted boxes
         bxs = self.boxes
 
@@ -537,6 +598,7 @@ class HuParser:
             tt = b.get("text", "").strip()
             return tt and any([tt.find(t.strip()) == 0 for t in txts])
 
+        # horizontally merge adjacent box with the same layout
         i = 0
         while i < len(bxs) - 1:
             b = bxs[i]
@@ -567,7 +629,8 @@ class HuParser:
             i += 1
         self.boxes = bxs
 
-        # count boxes in the same row
+    def _concat_downward(self):
+        # count boxes in the same row as a feature
         for i in range(len(self.boxes)):
             mh = self.mean_height[self.boxes[i]["page_number"] - 1]
             self.boxes[i]["in_row"] = 0
@@ -583,49 +646,6 @@ class HuParser:
                     break
                 j += 1
 
-        def gather(kwd, fzy=10, ption=0.6):
-            eles = self.sort_Y_firstly(
-                [r for r in self.tb_cpns if re.match(kwd, r["label"])], fzy)
-            eles = self.__layouts_cleanup(self.boxes, eles, 5, ption)
-            return self.sort_Y_firstly(eles, 0)
-
-        headers = gather(r".*header$")
-        rows = gather(r".* (row|header)")
-        spans = gather(r".*spanning")
-        clmns = sorted([r for r in self.tb_cpns if re.match(
-            r"table column$", r["label"])], key=lambda x: (x["pn"], x["layoutno"], x["x0"]))
-        clmns = self.__layouts_cleanup(self.boxes, clmns, 5, 0.5)
-        for b in self.boxes:
-            if b.get("layout_type", "") != "table":
-                continue
-            ii = self.__find_overlapped_with_threashold(b, rows, thr=0.3)
-            if ii is not None:
-                b["R"] = ii
-                b["R_top"] = rows[ii]["top"]
-                b["R_bott"] = rows[ii]["bottom"]
-
-            ii = self.__find_overlapped_with_threashold(b, headers, thr=0.3)
-            if ii is not None:
-                b["H_top"] = headers[ii]["top"]
-                b["H_bott"] = headers[ii]["bottom"]
-                b["H_left"] = headers[ii]["x0"]
-                b["H_right"] = headers[ii]["x1"]
-                b["H"] = ii
-
-            ii = self.__find_overlapped_with_threashold(b, clmns, thr=0.3)
-            if ii is not None:
-                b["C"] = ii
-                b["C_left"] = clmns[ii]["x0"]
-                b["C_right"] = clmns[ii]["x1"]
-
-            ii = self.__find_overlapped_with_threashold(b, spans, thr=0.3)
-            if ii is not None:
-                b["H_top"] = spans[ii]["top"]
-                b["H_bott"] = spans[ii]["bottom"]
-                b["H_left"] = spans[ii]["x0"]
-                b["H_right"] = spans[ii]["x1"]
-                b["SP"] = ii
-
         # concat between rows
         boxes = deepcopy(self.boxes)
         blocks = []
@@ -633,8 +653,6 @@ class HuParser:
             chunks = []
 
             def dfs(up, dp):
-                if not up["text"].strip() or up["text"].strip() in garbage:
-                    return
                 chunks.append(up)
                 i = dp
                 while i < min(dp + 12, len(boxes)):
@@ -658,8 +676,7 @@ class HuParser:
                         i += 1
                         continue
 
-                    if not down["text"].strip() \
+                    if not down["text"].strip():
-                            or down["text"].strip() in garbage:
                         i += 1
                         continue
 
@@ -1444,18 +1461,19 @@ class HuParser:
                 return j
         return
 
-    def __filterout_scraps(self, boxes, ZM):
+    def _line_tag(self, bx, ZM):
-        def line_tag(bx):
+        pn = [bx["page_number"]]
-            pn = [bx["page_number"]]
+        top = bx["top"] - self.page_cum_height[pn[0] - 1]
-            top = bx["top"] - self.page_cum_height[pn[0] - 1]
+        bott = bx["bottom"] - self.page_cum_height[pn[0] - 1]
-            bott = bx["bottom"] - self.page_cum_height[pn[0] - 1]
+        while bott * ZM > self.page_images[pn[-1] - 1].size[1]:
-            while bott * ZM > self.page_images[pn[-1] - 1].size[1]:
+            bott -= self.page_images[pn[-1] - 1].size[1] / ZM
-                bott -= self.page_images[pn[-1] - 1].size[1] / ZM
+            pn.append(pn[-1] + 1)
-                pn.append(pn[-1] + 1)
 
-            return "@@{}\t{:.1f}\t{:.1f}\t{:.1f}\t{:.1f}##" \
+        return "@@{}\t{:.1f}\t{:.1f}\t{:.1f}\t{:.1f}##" \
-                .format("-".join([str(p) for p in pn]),
+            .format("-".join([str(p) for p in pn]),
-                        bx["x0"], bx["x1"], top, bott)
+                    bx["x0"], bx["x1"], top, bott)
+
+    def __filterout_scraps(self, boxes, ZM):
 
         def width(b):
             return b["x1"] - b["x0"]
@@ -1520,14 +1538,14 @@ class HuParser:
             boxes.pop(0)
             mw = np.mean(widths)
             if mj or mw / pw >= 0.35 or mw > 200:
-                res.append("\n".join([c["text"] + line_tag(c) for c in lines]))
+                res.append("\n".join([c["text"] + self._line_tag(c, ZM) for c in lines]))
             else:
                 logging.debug("REMOVED: " +
                               "<<".join([c["text"] for c in lines]))
 
         return "\n\n".join(res)
 
-    def __call__(self, fnm, need_image=True, zoomin=3, return_html=False):
+    def __images__(self, fnm, zoomin=3, page_from=0, page_to=299):
         self.lefted_chars = []
         self.mean_height = []
         self.mean_width = []
@@ -1537,22 +1555,25 @@ class HuParser:
         self.page_layout = []
         try:
             self.pdf = pdfplumber.open(fnm) if isinstance(fnm, str) else pdfplumber.open(BytesIO(fnm))
-            self.page_images = [p.to_image(resolution=72*zoomin).annotated for i,p in enumerate(self.pdf.pages[:299])]
+            self.page_images = [p.to_image(resolution=72 * zoomin).annotated for i, p in
-            self.page_chars = [[c for c in self.pdf.pages[i].chars if self._has_color(c)] for i in range(len(self.page_images))]
+                                enumerate(self.pdf.pages[page_from:page_to])]
+            self.page_chars = [[c for c in self.pdf.pages[i].chars if self._has_color(c)] for i in
+                               range(len(self.page_images))]
+            self.total_page = len(self.pdf.pages)
         except Exception as e:
             self.pdf = fitz.open(fnm) if isinstance(fnm, str) else fitz.open(stream=fnm, filetype="pdf")
             self.page_images = []
             self.page_chars = []
             mat = fitz.Matrix(zoomin, zoomin)
-            for page in self.pdf:
+            self.total_page = len(self.pdf)
-                pix = page.getPixmap(matrix = mat)
+            for page in self.pdf[page_from:page_to]:
+                pix = page.getPixmap(matrix=mat)
                 img = Image.frombytes("RGB", [pix.width, pix.height],
                                       pix.samples)
                 self.page_images.append(img)
                 self.page_chars.append([])
 
         logging.info("Images converted.")
-
         for i, img in enumerate(self.page_images):
             chars = self.page_chars[i]
             self.mean_height.append(
@@ -1561,40 +1582,26 @@ class HuParser:
             self.mean_width.append(
                 np.median(sorted([c["width"] for c in chars])) if chars else 8
             )
-            if i > 0:
+            self.page_cum_height.append(img.size[1] / zoomin)
-                if not chars:
+            # if i > 0:
-                    self.page_cum_height.append(img.size[1] / zoomin)
+            #     if not chars:
-                else:
+            #         self.page_cum_height.append(img.size[1] / zoomin)
-                    self.page_cum_height.append(
+            #     else:
-                        np.max([c["bottom"] for c in chars]))
+            #         self.page_cum_height.append(
+            #             np.max([c["bottom"] for c in chars]))
             self.__ocr_paddle(i + 1, img, chars, zoomin)
-        self.__layouts_paddle(zoomin)
 
         self.page_cum_height = np.cumsum(self.page_cum_height)
-        assert len(self.page_cum_height) == len(self.page_images)
+        assert len(self.page_cum_height) == len(self.page_images)+1
 
-        garbage = set()
+    def __call__(self, fnm, need_image=True, zoomin=3, return_html=False):
-        for k in self.garbages.keys():
+        self.__images__(fnm, zoomin)
-            self.garbages[k] = Counter(self.garbages[k])
+        self._layouts_paddle(zoomin)
-            for g, c in self.garbages[k].items():
+        self._table_transformer_job(zoomin)
-                if c > 1:
+        self._text_merge()
-                    garbage.add(g)
+        self._concat_downward()
-
-        logging.debug("GARBAGE:" + ",".join(garbage))
-        self.boxes = [b for b in self.boxes if b["text"] not in garbage]
-
-        # cumlative Y
-        for i in range(len(self.boxes)):
-            self.boxes[i]["top"] += \
-                self.page_cum_height[self.boxes[i]["page_number"] - 1]
-            self.boxes[i]["bottom"] += \
-                self.page_cum_height[self.boxes[i]["page_number"] - 1]
-
-        self.__table_transformer_job(zoomin)
-        self.__text_merge(garbage)
         self.__filter_forpages()
         tbls = self.__extract_table_figure(need_image, zoomin, return_html)
-
         return self.__filterout_scraps(deepcopy(self.boxes), zoomin), tbls
 
     def remove_tag(self, txt):

rag/settings.py

@@ -35,3 +35,4 @@ LoggerFactory.LEVEL = 10
 es_logger = getLogger("es")
 minio_logger = getLogger("minio")
 cron_logger = getLogger("cron_logger")
+chunk_logger = getLogger("chunk_logger")