def load_project(dirname):
"""Load a Project, fixing it if needed and possible."""
project = Project(dirname, frontend=CliFrontend(), must_exist=True)
# No sense in engaging the user if we cannot achieve a fixed state.
if project.unfixable_problems:
return project
if console_utils.stdin_is_interactive():
regressions = 0
problems = project.fixable_problems
while problems and regressions < 3:
# Instead of looping through the problems in the list, we
# fix only the first one and refresh the list. This allows
# us to detect when fixing one problem impacts another,
# positively or negatively.
problem = problems[0]
print(problem.text)
should_fix = console_utils.console_ask_yes_or_no(problem.fix_prompt, default=False)
if not should_fix:
break
problem.fix(project)
project.use_changes_without_saving()
o_problems, problems = problems, project.fixable_problems
# If the number of problems doesn't decrease as a result of
# fixing a problem, it suggests some sort of negative cycle.
# We can't reliably detect a cycle, so instead we simply let
# this happen 3 times before we give up.
regressions += (len(problems) >= len(o_problems))
if not problems:
project.save()
return project
def load_project(dirname):
"""Load a Project, fixing it if needed and possible."""
project = Project(dirname, frontend=CliFrontend())
if console_utils.stdin_is_interactive():
had_fixable = len(project.fixable_problems) > 0
for problem in project.fixable_problems:
print(problem.text)
should_fix = console_utils.console_ask_yes_or_no(problem.fix_prompt, default=False)
if should_fix:
problem.fix(project)
else:
problem.no_fix(project)
# both fix() and no_fix() can modify project_file, if no changes
# were made this is a no-op.
if had_fixable:
project.save()
return project
