180cc6aeda
We have python scripts in the tools/ dir the vast majority of which we run regularly with python3 via our python3 default basepython in tox. However, most of these use a `python` shebang line which can be confusing as to whether or not these scripts run under python3 or not. To make this more clear set them to python3. I've confirmed the scripts running under tox are happy with these changes. For the ones that don't run under tox I've done a quick review and they look happy too. Change-Id: I983d23c33f7780e5708aa728c829c3262fc99ea0
191 lines
6.3 KiB
Python
191 lines
6.3 KiB
Python
#!/usr/bin/env python3
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# Copyright 2017 Red Hat, Inc.
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#
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# Licensed under the Apache License, Version 2.0 (the "License"); you may
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# not use this file except in compliance with the License. You may obtain
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# a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
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# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
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# License for the specific language governing permissions and limitations
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# under the License.
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import collections
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import subprocess
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import ruamel.yaml
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import yaml
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# from :
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# http://stackoverflow.com/questions/8640959/how-can-i-control-what-scalar-form-pyyaml-uses-for-my-data # noqa: E501
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def should_use_block(value):
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for c in u"\u000a\u000d\u001c\u001d\u001e\u0085\u2028\u2029":
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if c in value:
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return True
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return False
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def my_represent_scalar(self, tag, value, style=None):
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if style is None:
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if should_use_block(value):
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style = '|'
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else:
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style = self.default_style
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node = yaml.representer.ScalarNode(tag, value, style=style)
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if self.alias_key is not None:
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self.represented_objects[self.alias_key] = node
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return node
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def project_representer(dumper, data):
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return dumper.represent_mapping('tag:yaml.org,2002:map',
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data.items())
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def construct_yaml_map(self, node):
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data = collections.OrderedDict()
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yield data
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value = self.construct_mapping(node)
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if isinstance(node, yaml.MappingNode):
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self.flatten_mapping(node)
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else:
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raise yaml.constructor.ConstructorError(
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None, None,
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'expected a mapping node, but found %s' % node.id,
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node.start_mark)
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mapping = collections.OrderedDict()
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for key_node, value_node in node.value:
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key = self.construct_object(key_node, deep=False)
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try:
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hash(key)
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except TypeError as exc:
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raise yaml.constructor.ConstructorError(
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'while constructing a mapping', node.start_mark,
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'found unacceptable key (%s)' % exc, key_node.start_mark)
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value = self.construct_object(value_node, deep=False)
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mapping[key] = value
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data.update(mapping)
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class IndentedEmitter(yaml.emitter.Emitter):
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def expect_block_sequence(self):
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self.increase_indent(flow=False, indentless=False)
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self.state = self.expect_first_block_sequence_item
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class IndentedDumper(IndentedEmitter, yaml.serializer.Serializer,
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yaml.representer.Representer, yaml.resolver.Resolver):
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def __init__(self, stream,
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default_style=None, default_flow_style=None,
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canonical=None, indent=None, width=None,
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allow_unicode=None, line_break=None,
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encoding=None, explicit_start=None, explicit_end=None,
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version=None, tags=None):
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IndentedEmitter.__init__(
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self, stream, canonical=canonical,
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indent=indent, width=width,
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allow_unicode=allow_unicode,
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line_break=line_break)
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yaml.serializer.Serializer.__init__(
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self, encoding=encoding,
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explicit_start=explicit_start,
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explicit_end=explicit_end,
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version=version, tags=tags)
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yaml.representer.Representer.__init__(
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self, default_style=default_style,
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default_flow_style=default_flow_style)
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yaml.resolver.Resolver.__init__(self)
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def ordered_load(stream, *args, **kwargs):
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yaml.add_constructor(yaml.resolver.BaseResolver.DEFAULT_MAPPING_TAG,
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construct_yaml_map)
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return yaml.safe_load(stream=stream, *args, **kwargs)
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def ordered_dump(data, stream=None, *args, **kwargs):
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dumper = IndentedDumper
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# We need to do this because of how template expasion into a project
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# works. Without it, we end up with YAML references to the expanded jobs.
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dumper.ignore_aliases = lambda self, data: True
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yaml.add_representer(collections.OrderedDict, project_representer,
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Dumper=IndentedDumper)
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output = yaml.dump(
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data, default_flow_style=False,
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Dumper=dumper, width=80, *args, **kwargs).replace(
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'\n-', '\n\n-')
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if stream:
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stream.write(output)
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else:
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return output
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def get_single_key(var):
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if isinstance(var, str):
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return var
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elif isinstance(var, list):
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return var[0]
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return list(var.keys())[0]
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def has_single_key(var):
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if isinstance(var, list):
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return len(var) == 1
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if isinstance(var, str):
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return True
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dict_keys = list(var.keys())
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if len(dict_keys) != 1:
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return False
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if var[get_single_key(var)]:
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return False
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return True
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def main():
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subprocess.run(['git', 'checkout', '--', 'zuul.d/projects.yaml'])
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yaml = ruamel.yaml.YAML()
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yaml.indent(mapping=2, sequence=4, offset=2)
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projects = yaml.load(open('zuul.d/projects.yaml', 'r'))
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for project in projects:
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if project['project']['name'].split('/')[1].startswith('networking-'):
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if 'templates' not in project['project']:
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continue
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templates = project['project']['templates']
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for template in ('openstack-python-jobs',
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'openstack-python35-jobs'):
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if template in templates:
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new_name = template + '-neutron'
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templates[templates.index(template)] = new_name
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yaml.dump(projects, open('zuul.d/projects.yaml', 'w'))
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# Strip the extra 2 spaces that ruamel.yaml appends because we told it
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# to indent an extra 2 spaces. Because the top level entry is a list it
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# applies that indentation at the top. It doesn't indent the comment lines
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# extra though, so don't do them.
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with open('zuul.d/projects.yaml', 'r') as main_in:
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main_content = main_in.readlines()
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with open('zuul.d/projects.yaml', 'w') as main_out:
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for line in main_content:
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if '#' in line:
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main_out.write(line)
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else:
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if line.startswith(' - project'):
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main_out.write('\n')
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main_out.write(line[2:])
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if __name__ == '__main__':
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main()
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