1 发现问题
我的excel中有浮动图片和嵌入式图片，但是openpyxl的_image对象只提取到了浮动图片，通过阅读其源码发现，这是因为openpyxl只解析了drawing文件导致的，所以确定需要自己解析
2 解决思路
1、解析出media资源
2、解析出xml，这可以得到资源的rNvpr-rId-image target的关系
3、从xlrd或openpyxl中得到单元格cNvpr，定位到图片
3 解析xlsx
先把xlsx解压出来，得到的文件如下，其中xl文件夹是我们需要的
我分析了里面的所有文件，发现这两个文件存储了嵌入式图片的关键信息
- xl/cellimages.xml
- xl/_rels/cellimages.xml
打开这两个文件看看，到底存储了什么？
3.1 xl/cellimages.xml
有效信息在cellImage对象中
- cellImage.pic.nvPicPr.cNvPr.name：记录了函数名
- cellImage.pic.blipFill.blip.embed：记录了rId
记录这个关系，并建立映射关系 { ID_xxx: rId }
3.2 xl/_rels/cellimages.xml
有效信息在Relationship对象中
- Relationship.id：文件rId
- Relationship.target：图片地址
建立这个映射关系 { rId: target }
到这一步我们已经可以从函数名定位到图片资源了，剩下一步建立excel单元格和图片的关系，接下来解析excel文件
{ ID_xxx: rId } + { rId: target } = ID_xxx -> target
4 代码实现
接下来简单的代码实现，有问题可以评论区留言，看到会回复
此实现基于openpyxl
from xml.etree.ElementTree import fromstring
from io import BytesIO
from zipfile import ZipFilefrom openpyxl import load_workbook
from openpyxl.packaging.relationship import get_rels_path, get_dependents
from openpyxl.xml.constants import SHEET_DRAWING_NS, REL_NS, IMAGE_NS
from openpyxl.drawing.image import Image, PILImagedef parse_element(element):"""将XML解析为 {ID_XXX: rId}:param element:<etc:cellImage><xdr:pic><xdr:nvPicPr><xdr:cNvPr id="2" name="ID_CBD7CEBC94B44923A5B447F3F21C1995" descr="upload_post_object_v2_167528160"/><xdr:cNvPicPr/></xdr:nvPicPr><xdr:blipFill><a:blip r:embed="rId1"/><a:stretch><a:fillRect/></a:stretch></xdr:blipFill><xdr:spPr><a:xfrm><a:off x="0" y="0"/><a:ext cx="9144000" cy="4796155"/></a:xfrm><a:prstGeom prst="rect"><a:avLst/></a:prstGeom></xdr:spPr></xdr:pic></etc:cellImage>:return:"""data = {}xdr_namespace = "{%s}" % SHEET_DRAWING_NStargets = level_order_traversal(element, xdr_namespace + "nvPicPr")for target in targets:# 是一个cellimagecNvPr = 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_NSembed = child[0].attrib[_rel_embed]if cNvPr:data[cNvPr] = embedreturn datadef level_order_traversal(root, flag):"""层次遍历，查找目标节点"""queue = [root]targets = []while queue:node = queue.pop(0)children = [child.tag for child in node]if flag in children:targets.append(node)continuefor child in node:queue.append(child)return targetsdef handle_images(deps, archive) -> []:"""将图片二进制内容封装为Image对象"""images = []if not PILImage: # Pillow not installed, drop imagesreturn imagesfor dep in deps:if dep.Type != IMAGE_NS:msg = "{0} image format is not supported so the image is being dropped".format(dep.Type)print(msg)continuetry:image_io = archive.read(dep.target)image = Image(BytesIO(image_io))except OSError:msg = "The image {0} will be removed because it cannot be read".format(dep.target)print(msg)continueif image.format.upper() == "WMF": # cannot savemsg = "{0} image format is not supported so the image is being dropped".format(image.format)print(msg)continueimage.embed = dep.id # 文件rIdimage.target = dep.target # 文件地址images.append(image)return imagesdef main():CELLIMAGE_PATH = "xl/cellimages.xml"PARSE_FILE_PATH = 'C:/Users/user/Downloads/测试文件.xlsx'archive = ZipFile(PARSE_FILE_PATH, "r")wb = load_workbook(PARSE_FILE_PATH)src = archive.read(CELLIMAGE_PATH) # 打开cellImage.xml文件deps = get_dependents(archive, get_rels_path(CELLIMAGE_PATH)) # 解析cellImage.xml._rel文件image_rels = handle_images(deps=deps.Relationship, archive=archive)node = fromstring(src)cellimages_xml = parse_element(node)cellimages_rel = {}for image in image_rels:cellimages_rel[image.embed] = imagefor cnvpr, embed in cellimages_xml.items():cellimages_xml[cnvpr] = cellimages_rel.get(embed)# df = pd.read_excel(PARSE_FILE_PATH)# df["行号"] = df.index + 2# image_mappings = ParserXLSXEmbed(wb=wb, df=df).extract_images(start_from=max(0, 1) + 1)# image_mappings.update(cellimages_xml)archive.close() # 关闭压缩文件对象，防止内存泄漏print(cellimages_xml)if __name__ == '__main__':main()
