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mads

docs: mention the need for worker process restarts to avoid "memory leaks" (Issue #346)

It might not be ideal to mention such details in the overview, but that seems
like the best place for generic advice.

(Kallithea should still aim for keeping memory growth under control.)

#!/usr/bin/env python3
"""
pyflakes with filter configuration for Kallithea.
Inspired by pyflakes/api.py and flake8/plugins/pyflakes.py .
"""

import sys

import pyflakes.api
import pyflakes.messages


class Reporter:

    warned = False

    def flake(self, warning):
        # ignore known warnings
        if isinstance(warning, pyflakes.messages.UnusedVariable):
            return
        if warning.filename == 'kallithea/bin/kallithea_cli_ishell.py':
            if isinstance(warning, pyflakes.messages.ImportStarUsed) and warning.message_args == ('kallithea.model.db',):
                return
            if isinstance(warning, pyflakes.messages.UnusedImport) and warning.message_args == ('kallithea.model.db.*',):
                return

        print('%s:%s %s   [%s %s]' % (warning.filename, warning.lineno, warning.message % warning.message_args, type(warning).__name__, warning.message_args))
        self.warned = True

    def unexpectedError(self, filename, msg):
        print('Unexpected error for %s: %s' % (filename, msg))


reporter = Reporter()

for filename in sorted(set(sys.argv[1:])):
    pyflakes.api.checkPath(filename, reporter=reporter)
if reporter.warned:
    raise SystemExit(1)