Add the database schema to the sqlalchemy docs
In order to show people that are reading the docs what the current schema for the database is create a helper tool that upgrades the schema to the newest version and then uses tabulate to create a restructured text version of that schema which is then included in the documentation. Change-Id: Id215f88430971a4a083f9739fb2ec59d971dc8fa
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@ -177,6 +177,54 @@ Useful when you need a higher level of durability than offered by the previous
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solutions. When using these connection types it is possible to resume a engine
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from a peer machine (this does not apply when using sqlite).
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Schema
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^^^^^^
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*Logbooks*
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========== ======== =============
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Name Type Primary Key
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========== ======== =============
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created_at DATETIME False
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updated_at DATETIME False
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uuid VARCHAR True
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name VARCHAR False
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meta TEXT False
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========== ======== =============
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*Flow details*
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=========== ======== =============
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Name Type Primary Key
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=========== ======== =============
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created_at DATETIME False
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updated_at DATETIME False
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uuid VARCHAR True
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name VARCHAR False
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meta TEXT False
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state VARCHAR False
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parent_uuid VARCHAR False
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=========== ======== =============
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*Atom details*
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=========== ======== =============
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Name Type Primary Key
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=========== ======== =============
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created_at DATETIME False
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updated_at DATETIME False
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uuid VARCHAR True
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name VARCHAR False
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meta TEXT False
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atom_type VARCHAR False
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state VARCHAR False
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intention VARCHAR False
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results TEXT False
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failure TEXT False
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version TEXT False
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parent_uuid VARCHAR False
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=========== ======== =============
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.. _sqlalchemy: http://www.sqlalchemy.org/docs/
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.. _ACID: https://en.wikipedia.org/wiki/ACID
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83
tools/schema_generator.py
Executable file
83
tools/schema_generator.py
Executable file
@ -0,0 +1,83 @@
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#!/usr/bin/env python
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# Copyright (C) 2014 Yahoo! Inc. All Rights Reserved.
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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 contextlib
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import re
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import six
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import tabulate
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from taskflow.persistence.backends import impl_sqlalchemy
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NAME_MAPPING = {
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'flowdetails': 'Flow details',
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'atomdetails': 'Atom details',
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'logbooks': 'Logbooks',
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}
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CONN_CONF = {
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# This uses an in-memory database (aka nothing is written)
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"connection": "sqlite://",
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}
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TABLE_QUERY = "SELECT name, sql FROM sqlite_master WHERE type='table'"
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SCHEMA_QUERY = "pragma table_info(%s)"
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def to_bool_string(val):
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if isinstance(val, (int, bool)):
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return six.text_type(bool(val))
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if not isinstance(val, six.string_types):
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val = six.text_type(val)
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if val.lower() in ('0', 'false'):
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return 'False'
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if val.lower() in ('1', 'true'):
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return 'True'
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raise ValueError("Unknown boolean input '%s'" % (val))
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def main():
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backend = impl_sqlalchemy.SQLAlchemyBackend(CONN_CONF)
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with contextlib.closing(backend) as backend:
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# Make the schema exist...
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with contextlib.closing(backend.get_connection()) as conn:
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conn.upgrade()
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# Now make a prettier version of that schema...
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tables = backend.engine.execute(TABLE_QUERY)
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table_names = [r[0] for r in tables]
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for i, table_name in enumerate(table_names):
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pretty_name = NAME_MAPPING.get(table_name, table_name)
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print("*" + pretty_name + "*")
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# http://www.sqlite.org/faq.html#q24
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table_name = table_name.replace("\"", "\"\"")
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rows = []
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for r in backend.engine.execute(SCHEMA_QUERY % table_name):
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# Cut out the numbers from things like VARCHAR(12) since
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# this is not very useful to show users who just want to
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# see the basic schema...
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row_type = re.sub(r"\(.*?\)", "", r['type']).strip()
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if not row_type:
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raise ValueError("Row %s of table '%s' was empty after"
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" cleaning" % (r['cid'], table_name))
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rows.append([r['name'], row_type, to_bool_string(r['pk'])])
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contents = tabulate.tabulate(
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rows, headers=['Name', 'Type', 'Primary Key'],
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tablefmt="rst")
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print("\n%s" % contents.strip())
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if i + 1 != len(table_names):
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print("")
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if __name__ == '__main__':
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main()
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