#!/usr/bin/env python # Copyright (C) 2014 Yahoo! Inc. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); you may # not use this file except in compliance with the License. You may obtain # a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, WITHOUT # WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the # License for the specific language governing permissions and limitations # under the License. import contextlib import re import tabulate from taskflow.persistence.backends import impl_sqlalchemy NAME_MAPPING = { 'flowdetails': 'Flow details', 'atomdetails': 'Atom details', 'logbooks': 'Logbooks', } CONN_CONF = { # This uses an in-memory database (aka nothing is written) "connection": "sqlite://", } TABLE_QUERY = "SELECT name, sql FROM sqlite_master WHERE type='table'" SCHEMA_QUERY = "pragma table_info(%s)" def to_bool_string(val): if isinstance(val, (int, bool)): return str(bool(val)) if not isinstance(val, str): val = str(val) if val.lower() in ('0', 'false'): return 'False' if val.lower() in ('1', 'true'): return 'True' raise ValueError("Unknown boolean input '%s'" % (val)) def main(): backend = impl_sqlalchemy.SQLAlchemyBackend(CONN_CONF) with contextlib.closing(backend) as backend: # Make the schema exist... with contextlib.closing(backend.get_connection()) as conn: conn.upgrade() # Now make a prettier version of that schema... tables = backend.engine.execute(TABLE_QUERY) table_names = [r[0] for r in tables] for i, table_name in enumerate(table_names): pretty_name = NAME_MAPPING.get(table_name, table_name) print("*" + pretty_name + "*") # http://www.sqlite.org/faq.html#q24 table_name = table_name.replace("\"", "\"\"") rows = [] for r in backend.engine.execute(SCHEMA_QUERY % table_name): # Cut out the numbers from things like VARCHAR(12) since # this is not very useful to show users who just want to # see the basic schema... row_type = re.sub(r"\(.*?\)", "", r['type']).strip() if not row_type: raise ValueError("Row %s of table '%s' was empty after" " cleaning" % (r['cid'], table_name)) rows.append([r['name'], row_type, to_bool_string(r['pk'])]) contents = tabulate.tabulate( rows, headers=['Name', 'Type', 'Primary Key'], tablefmt="rst") print("\n%s" % contents.strip()) if i + 1 != len(table_names): print("") if __name__ == '__main__': main()