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chore: import upstream snapshot with attribution
2026-07-13 13:39:52 +08:00

48 lines
1.5 KiB
Python

import io
import re
from pathlib import Path
import panflute
import pypandoc
from .readme_step import ReadmeStepsManage
def strip_comments(code):
code = str(code)
code = re.sub(r"(?m)^ *#.*\n?", "", code) # remove comments
splits = [ll.rstrip() for ll in code.splitlines() if ll.strip()] # remove empty
splits_no_interactive = [
split
for split in splits
if "interactive" not in split
and "pf flow serve" not in split
and "pf connection delete" not in split
] # remove --interactive and pf flow serve and pf export docker
text = "\n".join([ll.rstrip() for ll in splits_no_interactive])
# replacements
text = text.replace("<your_api_key>", "$aoai_api_key")
text = text.replace("<your_api_base>", "$aoai_api_endpoint")
text = text.replace("<your_subscription_id>", "$test_workspace_sub_id")
text = text.replace("<your_resource_group_name>", "$test_workspace_rg")
text = text.replace("<your_workspace_name>", "$test_workspace_name")
return text
def prepare(doc):
doc.full_text = ""
def action(elem, doc):
if isinstance(elem, panflute.CodeBlock) and "bash" in elem.classes:
doc.full_text = "\n".join([doc.full_text, strip_comments(elem.text)])
def readme_parser(filename: str):
real_filename = Path(ReadmeStepsManage.git_base_dir()) / filename
data = pypandoc.convert_file(str(real_filename), "json")
f = io.StringIO(data)
doc = panflute.load(f)
panflute.run_filter(action, prepare, doc=doc)
return doc.full_text