2017-06-28 23:24:16 +00:00
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#!/usr/bin/env python
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# PYTHON_ARGCOMPLETE_OK
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"""A tool to aggregate data about Ansible source and testing into a sqlite DB for reporting."""
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from __future__ import (absolute_import, print_function)
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import argparse
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2018-09-07 16:51:41 +00:00
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import json
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2017-06-28 23:24:16 +00:00
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import os
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import sqlite3
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import sys
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DATABASE_PATH = os.path.expanduser('~/.ansible/report.db')
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BASE_PATH = os.path.abspath(os.path.join(os.path.dirname(os.path.abspath(__file__)), '..')) + '/'
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ANSIBLE_PATH = os.path.join(BASE_PATH, 'lib')
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ANSIBLE_TEST_PATH = os.path.join(BASE_PATH, 'test/runner')
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if ANSIBLE_PATH not in sys.path:
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sys.path.insert(0, ANSIBLE_PATH)
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if ANSIBLE_TEST_PATH not in sys.path:
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sys.path.insert(0, ANSIBLE_TEST_PATH)
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2018-09-07 16:51:41 +00:00
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from ansible.module_utils.urls import open_url
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2017-06-28 23:24:16 +00:00
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from ansible.parsing.metadata import extract_metadata
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2018-09-07 16:51:41 +00:00
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2017-06-28 23:24:16 +00:00
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from lib.target import walk_integration_targets
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def main():
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os.chdir(BASE_PATH)
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args = parse_args()
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args.func()
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def parse_args():
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try:
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import argcomplete
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except ImportError:
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argcomplete = None
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parser = argparse.ArgumentParser()
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subparsers = parser.add_subparsers(metavar='COMMAND')
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subparsers.required = True # work-around for python 3 bug which makes subparsers optional
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populate = subparsers.add_parser('populate',
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help='populate report database')
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populate.set_defaults(func=populate_database)
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query = subparsers.add_parser('query',
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help='query report database')
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query.set_defaults(func=query_database)
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if argcomplete:
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argcomplete.autocomplete(parser)
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args = parser.parse_args()
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return args
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def query_database():
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if not os.path.exists(DATABASE_PATH):
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2017-12-06 04:59:17 +00:00
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sys.exit('error: Database not found. Did you run `report.py populate` first?')
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2017-06-28 23:24:16 +00:00
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os.execvp('sqlite3', ('sqlite3', DATABASE_PATH))
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def populate_database():
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populate_modules()
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populate_coverage()
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populate_integration_targets()
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def populate_modules():
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module_dir = os.path.join(BASE_PATH, 'lib/ansible/modules/')
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modules_rows = []
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module_statuses_rows = []
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for root, dir_names, file_names in os.walk(module_dir):
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for file_name in file_names:
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module, extension = os.path.splitext(file_name)
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if module == '__init__' or extension != '.py':
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continue
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if module.startswith('_'):
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module = module[1:]
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namespace = os.path.join(root.replace(module_dir, '')).replace('/', '.')
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path = os.path.join(root, file_name)
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with open(path, 'rb') as module_fd:
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module_data = module_fd.read()
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result = extract_metadata(module_data=module_data)
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metadata = result[0]
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if not metadata:
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if module == 'async_wrapper':
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continue
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raise Exception('no metadata for: %s' % path)
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modules_rows.append(dict(
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module=module,
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namespace=namespace,
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path=path.replace(BASE_PATH, ''),
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supported_by=metadata['supported_by'],
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))
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for status in metadata['status']:
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module_statuses_rows.append(dict(
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module=module,
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status=status,
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))
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populate_data(dict(
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modules=dict(
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rows=modules_rows,
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schema=(
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('module', 'TEXT'),
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('namespace', 'TEXT'),
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('path', 'TEXT'),
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('supported_by', 'TEXT'),
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)),
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module_statuses=dict(
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rows=module_statuses_rows,
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schema=(
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('module', 'TEXT'),
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('status', 'TEXT'),
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)),
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))
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def populate_coverage():
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2018-09-07 16:51:41 +00:00
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response = open_url('https://codecov.io/api/gh/ansible/ansible/tree/devel/?src=extension')
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data = json.load(response)
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2017-06-28 23:24:16 +00:00
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files = data['commit']['report']['files']
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coverage_rows = []
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for path, data in files.items():
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report = data['t']
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coverage_rows.append(dict(
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path=path,
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coverage=float(report['c']),
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lines=report['n'],
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hit=report['h'],
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partial=report['p'],
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missed=report['m'],
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))
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populate_data(dict(
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coverage=dict(
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rows=coverage_rows,
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schema=(
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('path', 'TEXT'),
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('coverage', 'REAL'),
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('lines', 'INTEGER'),
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('hit', 'INTEGER'),
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('partial', 'INTEGER'),
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('missed', 'INTEGER'),
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)),
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))
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def populate_integration_targets():
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targets = list(walk_integration_targets())
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integration_targets_rows = [dict(
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target=target.name,
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type=target.type,
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path=target.path,
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script_path=target.script_path,
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) for target in targets]
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integration_target_aliases_rows = [dict(
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target=target.name,
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alias=alias,
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) for target in targets for alias in target.aliases]
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integration_target_modules_rows = [dict(
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target=target.name,
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module=module,
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) for target in targets for module in target.modules]
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populate_data(dict(
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integration_targets=dict(
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rows=integration_targets_rows,
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schema=(
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('target', 'TEXT'),
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('type', 'TEXT'),
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('path', 'TEXT'),
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('script_path', 'TEXT'),
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)),
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integration_target_aliases=dict(
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rows=integration_target_aliases_rows,
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schema=(
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('target', 'TEXT'),
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('alias', 'TEXT'),
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)),
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integration_target_modules=dict(
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rows=integration_target_modules_rows,
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schema=(
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('target', 'TEXT'),
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('module', 'TEXT'),
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)),
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))
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def create_table(cursor, name, columns):
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schema = ', '.join('%s %s' % column for column in columns)
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cursor.execute('DROP TABLE IF EXISTS %s' % name)
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cursor.execute('CREATE TABLE %s (%s)' % (name, schema))
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def populate_table(cursor, rows, name, columns):
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create_table(cursor, name, columns)
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values = ', '.join([':%s' % column[0] for column in columns])
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for row in rows:
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cursor.execute('INSERT INTO %s VALUES (%s)' % (name, values), row)
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def populate_data(data):
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connection = sqlite3.connect(DATABASE_PATH)
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cursor = connection.cursor()
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for table in data:
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populate_table(cursor, data[table]['rows'], table, data[table]['schema'])
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connection.commit()
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connection.close()
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if __name__ == '__main__':
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main()
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