ExecutePreprocessor only looks at code cells，因此您的降价单元格完全不受影响。如您所述，要进行降价处理，您需要 Python Markdown 预处理器。
不幸的是，Python Markdown 预处理器系统只执行实时笔记本中的代码，它由modifying the javascript involved with rendering cells 执行。修改将执行代码sn-ps的结果存储在单元元数据中。
PyMarkdownPreprocessor 类（在 pre_pymarkdown.py 中）设计用于在已在实时笔记本设置中首先呈现的笔记本上运行 nbconvert。它处理降价单元格，将{{}} 模式替换为存储在元数据中的值。
但是，在您的情况下，您没有实时笔记本元数据。我遇到了类似的问题，我通过编写自己的执行预处理器解决了这个问题，该预处理器还包括处理降价单元的逻辑：
from nbconvert.preprocessors import ExecutePreprocessor, Preprocessor
import nbformat, nbconvert
from textwrap import dedent
class ExecuteCodeMarkdownPreprocessor(ExecutePreprocessor):
def __init__(self, **kw):
self.sections = {'default': True} # maps section ID to true or false
self.EmptyCell = nbformat.v4.nbbase.new_raw_cell("")
return super().__init__(**kw)
def preprocess_cell(self, cell, resources, cell_index):
"""
Executes a single code cell. See base.py for details.
To execute all cells see :meth:`preprocess`.
"""
if cell.cell_type not in ['code','markdown']:
return cell, resources
if cell.cell_type == 'code':
# Do code stuff
return self.preprocess_code_cell(cell, resources, cell_index)
elif cell.cell_type == 'markdown':
# Do markdown stuff
return self.preprocess_markdown_cell(cell, resources, cell_index)
else:
# Don't do anything
return cell, resources
def preprocess_code_cell(self, cell, resources, cell_index):
''' Process code cell.
'''
outputs = self.run_cell(cell)
cell.outputs = outputs
if not self.allow_errors:
for out in outputs:
if out.output_type == 'error':
pattern = u"""\
An error occurred while executing the following cell:
------------------
{cell.source}
------------------
{out.ename}: {out.evalue}
"""
msg = dedent(pattern).format(out=out, cell=cell)
raise nbconvert.preprocessors.execute.CellExecutionError(msg)
return cell, resources
def preprocess_markdown_cell(self, cell, resources, cell_index):
# Find and execute snippets of code
cell['metadata']['variables'] = {}
for m in re.finditer("{{(.*?)}}", cell.source):
# Execute code
fakecell = nbformat.v4.nbbase.new_code_cell(m.group(1))
fakecell, resources = self.preprocess_code_cell(fakecell, resources, cell_index)
# Output found in cell.outputs
# Put output in cell['metadata']['variables']
for output in fakecell.outputs:
html = self.convert_output_to_html(output)
if html is not None:
cell['metadata']['variables'][fakecell.source] = html
break
return cell, resources
def convert_output_to_html(self, output):
'''Convert IOpub output to HTML
See https://github.com/ipython-contrib/IPython-notebook-extensions/blob/master/nbextensions/usability/python-markdown/main.js
'''
if output['output_type'] == 'error':
text = '**' + output.ename + '**: ' + output.evalue;
return text
elif output.output_type == 'execute_result' or output.output_type == 'display_data':
data = output.data
if 'text/latex' in data:
html = data['text/latex']
return html
elif 'image/svg+xml' in data:
# Not supported
#var svg = ul['image/svg+xml'];
#/* embed SVG in an <img> tag, still get eaten by sanitizer... */
#svg = btoa(svg);
#html = '<img src="data:image/svg+xml;base64,' + svg + '"/>';
return None
elif 'image/jpeg' in data:
jpeg = data['image/jpeg']
html = '<img src="data:image/jpeg;base64,' + jpeg + '"/>'
return html
elif 'image/png' in data:
png = data['image/png']
html = '<img src="data:image/png;base64,' + png + '"/>'
return html
elif 'text/markdown' in data:
text = data['text/markdown']
return text
elif 'text/html' in data:
html = data['text/html']
return html
elif 'text/plain' in data:
text = data['text/plain']
# Strip <p> and </p> tags
# Strip quotes
# html.match(/<p>([\s\S]*?)<\/p>/)[1]
text = re.sub(r'<p>([\s\S]*?)<\/p>', r'\1', text)
text = re.sub(r"'([\s\S]*?)'",r'\1', text)
return text
else:
# Some tag we don't support
return None
else:
return None
然后您可以使用与您发布的代码类似的逻辑来处理您的笔记本：
import nbformat
from nbconvert.preprocessors import ExecutePreprocessor
import ExecuteCodeMarkdownPreprocessor # from wherever you put it
import PyMarkdownPreprocessor # from pre_pymarkdown.py
with open('report.ipynb') as f:
nb = nbformat.read(f, as_version=4)
ep = ExecuteCodeMarkdownPreprocessor(timeout=600, kernel_name='python3')
ep.preprocess(nb, {})
pymk = PyMarkdownPreprocessor()
pymk.preprocess(nb, {})
with open('report_executed.ipynb', 'wt') as f:
nbformat.write(nb, f)
请注意，通过包含 Python Markdown 预处理，您生成的笔记本文件将不再在 markdown 单元格中包含 {{}} 语法 - markdown 将具有静态内容。如果结果笔记本的接收者更改了代码并再次执行，则降价将不会更新。但是，如果您要导出为不同的格式（例如 HTML），那么您确实希望将 {{}} 语法替换为静态内容。