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An earlier optimization of ansible-doc -l caused failures. (#47012)

* An earlier optimization of ansible-doc -l caused failures.

The optimization quickly searches the plugin code for short_description
fields and then uses that in the -l output.  The searching was a bit too
naive and ended up pulling out malformed yaml.  This caused those
plugins to be omitted from the list of plugins of that type with
a warning that their documentation strings were wrong.

This change makes the documentation parser aware that the documentation
string could have a relative indent for all of its fields which makes it
robust in the face of this particular problem.

* Don't search for space after short_description:

Any whitespace would be valid.  In particular newline
This commit is contained in:
Toshio Kuratomi 2018-10-17 08:15:59 -07:00 committed by Brian Coca
parent 0272fd4b37
commit 61ae6424a3
2 changed files with 22 additions and 8 deletions

View file

@ -0,0 +1,3 @@
---
bugfixes:
- 'Fixed an issue with ansible-doc -l failing when parsing some plugin documentation.'

View file

@ -90,19 +90,30 @@ def read_docstub(filename):
"""
t_module_data = open(filename, 'r')
in_documentation = False
capturing = False
indent_detection = ''
doc_stub = []
for line in t_module_data:
if in_documentation:
# start capturing the stub until indentation returns
if capturing and line[0] == ' ':
if capturing and line.startswith(indent_detection):
doc_stub.append(line)
elif capturing and line[0] != ' ':
elif capturing and not line.startswith(indent_detection):
break
if 'short_description:' in line:
elif line.lstrip().startswith('short_description:'):
capturing = True
# Detect that the short_description continues on the next line if it's indented more
# than short_description itself.
indent_detection = ' ' * (len(line) - len(line.lstrip()) + 1)
doc_stub.append(line)
elif line.startswith('DOCUMENTATION') and '=' in line:
in_documentation = True
short_description = r''.join(doc_stub).strip().rstrip('.')
data = AnsibleLoader(short_description, file_name=filename).get_single_data()