如何统一测试是否正确生成了PDF文件? [英] How can I unittest whether PDF files have been generated correctly?

问题描述

我编写了一个使用matplotlib和seaborn绘制图表的小型python库，我想知道如何测试图表是否符合我的实际需求.

I write a small python library that uses matplotlib and seaborn to draw charts, and I wonder how I can test whether the charts look like what I actually want.

因此，给定一个我声明正确的参考pdf文件，我如何自动检查它是否等于带有伪数据的动态生成文件?

Thus, given a reference pdf file which I declared as correct, how would I automatically check whether it equals a dynamically generated file with dummy data?

我认为由于时间戳等原因，对文件进行散列是不可靠的.

I assume that it's not reliable to hash the file due to timestamps etc.

推荐答案

一些想法:

• 使用 diff-pdf
• 将其转换为图像(例如，使用ImageMagick)并使用 PerceptualDiff
• 以某种方式从PDF中获取数据(也许是 PyPDF2 ?)并进行比较
• 使用某些内容(PyPDF2? pdftk ?)来修补标头信息(如时间戳记)，直到文件相等并比较哈希值

• Use diff-pdf
• Convert it to an image (e.g. using ImageMagick) and use PerceptualDiff
• Get the data out of the PDF somehow (PyPDF2 maybe?) and compare that
• Use something (PyPDF2? pdftk?) to patch the header information (like timestamps) to the point the files are equal and compare hashes

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