feat: 上传文档表格对支持xlsx文件单元格图片

apps/common/handle/base_parse_table_handle.py

@@ -15,5 +15,5 @@ class BaseParseTableHandle(ABC):
         pass
 
     @abstractmethod
-    def handle(self, file, get_buffer):
+    def handle(self, file, get_buffer,save_image):
         pass

apps/common/handle/impl/qa/xlsx_parse_qa_handle.py

@@ -7,114 +7,11 @@
     @desc:
 """
 import io
-import uuid
-from functools import reduce
-from io import BytesIO
-from xml.etree.ElementTree import fromstring
-from zipfile import ZipFile
 
 import openpyxl
-from PIL import Image as PILImage
-from openpyxl.drawing.image import Image as openpyxl_Image
-from openpyxl.packaging.relationship import get_rels_path, get_dependents
-from openpyxl.xml.constants import SHEET_DRAWING_NS, REL_NS, SHEET_MAIN_NS
 
 from common.handle.base_parse_qa_handle import BaseParseQAHandle, get_title_row_index_dict, get_row_value
-from dataset.models import Image
+from common.handle.impl.tools import xlsx_embed_cells_images
-
-
-def parse_element(element) -> {}:
-    data = {}
-    xdr_namespace = "{%s}" % SHEET_DRAWING_NS
-    targets = level_order_traversal(element, xdr_namespace + "nvPicPr")
-    for target in targets:
-        cNvPr = embed = ""
-        for child in target:
-            if child.tag == xdr_namespace + "nvPicPr":
-                cNvPr = child[0].attrib["name"]
-            elif child.tag == xdr_namespace + "blipFill":
-                _rel_embed = "{%s}embed" % REL_NS
-                embed = child[0].attrib[_rel_embed]
-        if cNvPr:
-            data[cNvPr] = embed
-    return data
-
-
-def parse_element_sheet_xml(element) -> []:
-    data = []
-    xdr_namespace = "{%s}" % SHEET_MAIN_NS
-    targets = level_order_traversal(element, xdr_namespace + "f")
-    for target in targets:
-        for child in target:
-            if child.tag == xdr_namespace + "f":
-                data.append(child.text)
-    return data
-
-
-def level_order_traversal(root, flag: str) -> []:
-    queue = [root]
-    targets = []
-    while queue:
-        node = queue.pop(0)
-        children = [child.tag for child in node]
-        if flag in children:
-            targets.append(node)
-            continue
-        for child in node:
-            queue.append(child)
-    return targets
-
-
-def handle_images(deps, archive: ZipFile) -> []:
-    images = []
-    if not PILImage:  # Pillow not installed, drop images
-        return images
-    for dep in deps:
-        try:
-            image_io = archive.read(dep.target)
-            image = openpyxl_Image(BytesIO(image_io))
-        except Exception as e:
-            print(e)
-            continue
-        image.embed = dep.id  # 文件rId
-        image.target = dep.target  # 文件地址
-        images.append(image)
-    return images
-
-
-def xlsx_embed_cells_images(buffer) -> {}:
-    archive = ZipFile(buffer)
-    # 解析cellImage.xml文件
-    deps = get_dependents(archive, get_rels_path("xl/cellimages.xml"))
-    image_rel = handle_images(deps=deps, archive=archive)
-    # 工作表及其中图片ID
-    sheet_list = {}
-    for item in archive.namelist():
-        if not item.startswith('xl/worksheets/sheet'):
-            continue
-        key = item.split('/')[-1].split('.')[0].split('sheet')[-1]
-        sheet_list[key] = parse_element_sheet_xml(fromstring(archive.read(item)))
-    cell_images_xml = parse_element(fromstring(archive.read("xl/cellimages.xml")))
-    cell_images_rel = {}
-    for image in image_rel:
-        cell_images_rel[image.embed] = image
-    for cnv, embed in cell_images_xml.items():
-        cell_images_xml[cnv] = cell_images_rel.get(embed)
-    result = {}
-    for key, img in cell_images_xml.items():
-        image_excel_id_list = [_xl for _xl in
-                               reduce(lambda x, y: [*x, *y], [sheet for sheet_id, sheet in sheet_list.items()], []) if
-                               key in _xl]
-        if len(image_excel_id_list) > 0:
-            image_excel_id = image_excel_id_list[-1]
-            f = archive.open(img.target)
-            img_byte = io.BytesIO()
-            im = PILImage.open(f).convert('RGB')
-            im.save(img_byte, format='JPEG')
-            image = Image(id=uuid.uuid1(), image=img_byte.getvalue(), image_name=img.path)
-            result['=' + image_excel_id] = image
-    archive.close()
-    return result
 
 
 def handle_sheet(file_name, sheet, image_dict):

apps/common/handle/impl/table/csv_parse_table_handle.py

@@ -15,7 +15,7 @@ class CsvSplitHandle(BaseParseTableHandle):
             return True
         return False
 
-    def handle(self, file, get_buffer):
+    def handle(self, file, get_buffer,save_image):
         buffer = get_buffer(file)
         try:
             content = buffer.decode(detect(buffer)['encoding'])

apps/common/handle/impl/table/excel_parse_table_handle.py

@@ -5,6 +5,7 @@ import logging
 from openpyxl import load_workbook
 
 from common.handle.base_parse_table_handle import BaseParseTableHandle
+from common.handle.impl.tools import xlsx_embed_cells_images
 
 max_kb = logging.getLogger("max_kb")
 
@@ -16,10 +17,15 @@ class ExcelSplitHandle(BaseParseTableHandle):
             return True
         return False
 
-    def handle(self, file, get_buffer):
+    def handle(self, file, get_buffer, save_image):
         buffer = get_buffer(file)
         try:
             wb = load_workbook(io.BytesIO(buffer))
+            try:
+                image_dict: dict = xlsx_embed_cells_images(io.BytesIO(buffer))
+                save_image([item for item in image_dict.values()])
+            except Exception as e:
+                image_dict = {}
             result = []
             for sheetname in wb.sheetnames:
                 paragraphs = []
@@ -35,7 +41,11 @@ class ExcelSplitHandle(BaseParseTableHandle):
                             continue
                         t = str(ti[i].value) if i < len(ti) else ""
                         title.append(t)
-                        t += (": " if t else "") + str(c.value)
+                        content = str(c.value)
+                        image = image_dict.get(content, None)
+                        if image is not None:
+                            content = f'![](/api/image/{image.id})'
+                        t += (": " if t else "") + content
                         l.append(t)
                     l = "; ".join(l)
                     if sheetname.lower().find("sheet") < 0:

apps/common/handle/impl/tools.py

@@ -0,0 +1,118 @@
+# coding=utf-8
+"""
+    @project: MaxKB
+    @Author：虎
+    @file： tools.py
+    @date：2024/9/11 16:41
+    @desc:
+"""
+import io
+import uuid
+from functools import reduce
+from io import BytesIO
+from xml.etree.ElementTree import fromstring
+from zipfile import ZipFile
+
+from PIL import Image as PILImage
+from openpyxl.drawing.image import Image as openpyxl_Image
+from openpyxl.packaging.relationship import get_rels_path, get_dependents
+from openpyxl.xml.constants import SHEET_DRAWING_NS, REL_NS, SHEET_MAIN_NS
+
+from common.handle.base_parse_qa_handle import get_title_row_index_dict, get_row_value
+from dataset.models import Image
+
+
+def parse_element(element) -> {}:
+    data = {}
+    xdr_namespace = "{%s}" % SHEET_DRAWING_NS
+    targets = level_order_traversal(element, xdr_namespace + "nvPicPr")
+    for target in targets:
+        cNvPr = embed = ""
+        for child in target:
+            if child.tag == xdr_namespace + "nvPicPr":
+                cNvPr = child[0].attrib["name"]
+            elif child.tag == xdr_namespace + "blipFill":
+                _rel_embed = "{%s}embed" % REL_NS
+                embed = child[0].attrib[_rel_embed]
+        if cNvPr:
+            data[cNvPr] = embed
+    return data
+
+
+def parse_element_sheet_xml(element) -> []:
+    data = []
+    xdr_namespace = "{%s}" % SHEET_MAIN_NS
+    targets = level_order_traversal(element, xdr_namespace + "f")
+    for target in targets:
+        for child in target:
+            if child.tag == xdr_namespace + "f":
+                data.append(child.text)
+    return data
+
+
+def level_order_traversal(root, flag: str) -> []:
+    queue = [root]
+    targets = []
+    while queue:
+        node = queue.pop(0)
+        children = [child.tag for child in node]
+        if flag in children:
+            targets.append(node)
+            continue
+        for child in node:
+            queue.append(child)
+    return targets
+
+
+def handle_images(deps, archive: ZipFile) -> []:
+    images = []
+    if not PILImage:  # Pillow not installed, drop images
+        return images
+    for dep in deps:
+        try:
+            image_io = archive.read(dep.target)
+            image = openpyxl_Image(BytesIO(image_io))
+        except Exception as e:
+            print(e)
+            continue
+        image.embed = dep.id  # 文件rId
+        image.target = dep.target  # 文件地址
+        images.append(image)
+    return images
+
+
+def xlsx_embed_cells_images(buffer) -> {}:
+    archive = ZipFile(buffer)
+    # 解析cellImage.xml文件
+    deps = get_dependents(archive, get_rels_path("xl/cellimages.xml"))
+    image_rel = handle_images(deps=deps, archive=archive)
+    # 工作表及其中图片ID
+    sheet_list = {}
+    for item in archive.namelist():
+        if not item.startswith('xl/worksheets/sheet'):
+            continue
+        key = item.split('/')[-1].split('.')[0].split('sheet')[-1]
+        sheet_list[key] = parse_element_sheet_xml(fromstring(archive.read(item)))
+    cell_images_xml = parse_element(fromstring(archive.read("xl/cellimages.xml")))
+    cell_images_rel = {}
+    for image in image_rel:
+        cell_images_rel[image.embed] = image
+    for cnv, embed in cell_images_xml.items():
+        cell_images_xml[cnv] = cell_images_rel.get(embed)
+    result = {}
+    for key, img in cell_images_xml.items():
+        image_excel_id_list = [_xl for _xl in
+                               reduce(lambda x, y: [*x, *y], [sheet for sheet_id, sheet in sheet_list.items()], []) if
+                               key in _xl]
+        if len(image_excel_id_list) > 0:
+            image_excel_id = image_excel_id_list[-1]
+            f = archive.open(img.target)
+            img_byte = io.BytesIO()
+            im = PILImage.open(f).convert('RGB')
+            im.save(img_byte, format='JPEG')
+            image = Image(id=uuid.uuid1(), image=img_byte.getvalue(), image_name=img.path)
+            result['=' + image_excel_id] = image
+    archive.close()
+    return result
+
+

apps/dataset/serializers/document_serializers.py

@@ -671,7 +671,7 @@ class DocumentSerializers(ApiMixin, serializers.Serializer):
             get_buffer = FileBufferHandle().get_buffer
             for parse_table_handle in parse_table_handle_list:
                 if parse_table_handle.support(file, get_buffer):
-                    return parse_table_handle.handle(file, get_buffer)
+                    return parse_table_handle.handle(file, get_buffer, save_image)
             raise AppApiException(500, '不支持的文件格式')
 
         def save_qa(self, instance: Dict, with_valid=True):