如何在不写入文件的情况下使用 pypandoc 将 JSON 对象转换为降价？

Question

我正在尝试从报告 JSON 对象的 API 获取响应，并将其转换为降价输出，以更易读的格式呈现。我正在尝试使用 pypandoc 来执行此操作，并且我正在花很多时间弄清楚如何让它工作。

我希望以下内容能够基于 pandoc 的文档工作，但是 pypandoc 文档和示例很少。

from ipwhois import IPWhois

obj = IPWhois('74.125.225.229')
results = obj.lookup_rdap(depth=1)
print(pypandoc.convert_text(results, 'json', 'md'))



---------------------------------------------------------------------------
AttributeError                            Traceback (most recent call last)
<ipython-input-6-6a5e630f5495> in <module>()
      4 obj = IPWhois('74.125.225.229')
      5 results = obj.lookup_rdap(depth=1)
----> 6 print(pypandoc.convert_text(results, 'json', 'md'))

C:\ProgramData\Anaconda3\lib\site-packages\pypandoc\__init__.py in convert_text(source, to, format, extra_args, encoding, outputfile, filters)
    101     source = _as_unicode(source, encoding)
    102     return _convert_input(source, format, 'string', to, extra_args=extra_args,
--> 103                           outputfile=outputfile, filters=filters)
    104 
    105 

C:\ProgramData\Anaconda3\lib\site-packages\pypandoc\__init__.py in _convert_input(source, format, input_type, to, extra_args, outputfile, filters)
    303 
    304     try:
--> 305         source = cast_bytes(source, encoding='utf-8')
    306     except (UnicodeDecodeError, UnicodeEncodeError):
    307         # assume that it is already a utf-8 encoded string

C:\ProgramData\Anaconda3\lib\site-packages\pypandoc\py3compat.py in cast_bytes(s, encoding)
     37     # bytes == str on py2.7 -> always encode on py2
     38     if not isinstance(s, bytes):
---> 39         return _encode(s, encoding)
     40     return s
     41 

C:\ProgramData\Anaconda3\lib\site-packages\pypandoc\py3compat.py in _encode(u, encoding)
     25 def _encode(u, encoding=None):
     26     encoding = encoding or _DEFAULT_ENCODING
---> 27     return u.encode(encoding)
     28 
     29 

AttributeError: 'dict' object has no attribute 'encode'

如果有人知道更好的方法来转换它而不将其写入文件，如果您分享它，我将不胜感激。

写入和读取文件版本：

from ipwhois import IPWhois
from pprint import pprint
import json, pypandoc

obj = IPWhois('74.125.225.229')
results = obj.lookup_rdap(depth=1)
pprint(results)
with open('data.json', 'w') as outfile:
    json.dump(results, outfile)
output = pypandoc.convert_file('data.json', to='json', format='md',outputfile="data.md")

Answer 1

Comment: I should be able to do this in memory

请展示你的代码to/from 文件.
它应该能够使用 StringIO 对象在内存中执行此操作。

results 是类型 dict，使用 json.dumps(... 更改为 str 应该与从文件读取相同：

print(pypandoc.convert_text(json.dumps(results), 'json', 'md'))

Question: I would expect the following to work based on the documentation from pandoc
... convert that to ... in a more readable format.

您必须自己将其转换为 md 或 HTML。
这与以下示例相同：

Convert JSON to PDF with Python and xtopdf

This recipe show the basic steps needed to convert JSON input to PDF output, using Python and xtopdf,
a PDF creation toolkit. xtopdf is itself written in Python, and uses the ReportLab toolkit internally.

如何在不写入文件的情况下使用 pypandoc 将 JSON 对象转换为降价？

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