doloop.py

# Copyright 2011-2012 Yelp
# Copyright 2016 Yelp
#
# 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.
"""Task loop for keeping things updated.

Basic usage:

Use :py:func:`~doloop.create` to create task loop tables. You should have one
table for each kind of updating you want to do.

Add the IDs of things you want to update with :py:func:`~doloop.add`.

Run one or more workers (e.g in a crontab), with code like this::

    foo_ids = doloop.get(dbconn, 'foo_loop', 100)

    for foo_id in foo_ids:
        # update foo_id
        ...

    doloop.did(dbconn, 'foo_loop', foo_ids)

"""
from __future__ import print_function

import inspect
import optparse
import sys

__author__ = 'David Marin <dave@yelp.com>'

__credits__ = [
    'Steve Johnson <sjohnson@yelp.com>',
    'Jennifer Snyder <jsnyder@yelp.com>',
]

__version__ = '1.0.0'

#: One hour, in seconds
ONE_HOUR = 60 * 60

#: One day, in seconds
ONE_DAY = 60 * 60 * 24

#: One week, in seconds
ONE_WEEK = 60 * 60 * 24 * 7

#: Default ID type for doloop tables
DEFAULT_ID_TYPE = 'int'

#: Default storage engine for doloop tables
DEFAULT_STORAGE_ENGINE = 'InnoDB'


### Python 2/3 compatibility ###
if sys.version_info[0] == 2:
    _integer_types = (int, long)
    _string_types = (basestring,)
else:
    _integer_types = (int,)
    _string_types = (str,)


### MySQL module compabitibility ###

# The purpose of this is to be able to suport any DBI-compliant MySQL driver
# (could be MySQLdb, oursql, PyMySQL, etc.)
#
# Refer to the DBI specification (PEP 249) here:
# from http://www.python.org/dev/peps/pep-0249/

def _paramstyle(cursor):
    """Figure out the paramstyle (e.g. qmark, format) used by the
    given database cursor. DBI only specifies that paramstyle needs to be
    defined by the package containing the cursor, so we need to go hunting
    for it.

    Return None if we can't tell (might be a wrapper object, for example)
    """
    cursor_type = type(cursor)
    if cursor_type not in _paramstyle.cache:
        # work backward from the module that the cursor's in
        # for example: mysql.connector.connection, mysql.connector, mysql

        # inspect.getmodulename() crashes on MySQLdb!
        cursor_module = inspect.getmodule(cursor_type)
        cursor_module_name = cursor_module.__name__

        cursor_module_path = cursor_module_name.split('.')
        paramstyle = None

        for i in range(len(cursor_module_path), 0, -1):
            module_name = '.'.join(cursor_module_path[:i])
            module = sys.modules[module_name]

            if hasattr(module, 'paramstyle'):
                paramstyle = getattr(module, 'paramstyle')
                break

        _paramstyle.cache[cursor_type] = paramstyle

    return _paramstyle.cache[cursor_type]


_paramstyle.cache = {}


# names of exceptions raised by various database drivers when you
# use the wrong paramstyle
_WRONG_PARAMSTYLE_EXC_NAMES = set([
    'TypeError',
    'ProgrammingError',
])


def _execute(cursor, qmark_query, params):
    """Convert the given query from qmark parameter style to whatever's
    appropriate for the given cursor, and cursor.execute() it. If we can't
    figure out the paramstyle, try format, and then qmark.

    We use this everywhere we want to pass parameters to cursor.execute();
    if there are no parameters, we just use cursor.execute() directly.

    Currently, we only handle the qmark and format styles (seems to be enough).

    This is for internal use by the queries in :py:mod:`doloop` only. It does
    not correctly handle question marks in string literals or double question
    marks.
    """
    # make sure we haven't lapsed into a different paramstyle
    assert '%s' not in qmark_query

    paramstyle = _paramstyle(cursor)
    format_query = qmark_query.replace('?', '%s')

    if paramstyle == 'qmark':
        cursor.execute(qmark_query, params)

    elif paramstyle == 'format':
        cursor.execute(format_query, params)

    elif paramstyle == 'pyformat':
        # usually if a driver supports pyformat, it supports format too
        try:
            cursor.execute(format_query, params)
        except:
            raise NotImplementedError(
                'pyformat paramstyle is unsupported' % paramstyle)

    elif paramstyle is None:
        # try format (most common) and then qmark
        try:
            cursor.execute(format_query, params)
        except Exception as e:
            if e.__class__.__name__ not in _WRONG_PARAMSTYLE_EXC_NAMES:
                raise
            cursor.execute(qmark_query, params)

    else:
        raise NotImplementedError('%r paramstyle is unsupported' % paramstyle)


### Utils ###

def _to_list(x):
    if isinstance(x, list):
        return x
    elif isinstance(x, (_string_types, bytes)):  # need this for Python 3
        return [x]
    elif hasattr(x, '__iter__'):
        return list(x)
    else:
        return [x]


def _run(query, dbconn, roll_back, table_to_lock=None):
    """Run a query with a single table locked. If an exception
    is thrown, we roll back the transaction and then unlock the table
    before re-raising the exception.

    :param query: a function which takes a db cursor as its only argument
    :param dbconn: any DBI-compliant MySQL connection object
    :param str table_to_lock: optional table to lock (in WRITE mode) while
                              running the query
    :param bool roll_back: if true, always roll back after issuing the query

    If there is already a transaction in progress on *dbconn*, we'll roll
    it back, and unlock any tables currently locked.
    """
    dbconn.rollback()

    cursor = dbconn.cursor()

    try:
        cursor.execute('START TRANSACTION')

        cursor.execute('UNLOCK TABLES')

        cursor.execute('SET autocommit = 0')
        if table_to_lock:
            cursor.execute('LOCK TABLES `%s` WRITE' % table_to_lock)

        result = query(cursor)

        if roll_back:
            dbconn.rollback()
        else:
            dbconn.commit()

        return result

    except:
        dbconn.rollback()
        raise

    finally:
        cursor.execute('UNLOCK TABLES')


def _check_table_is_a_string(table):
    """Check that table is a string, to avoid cryptic SQL errors"""
    if not isinstance(table, _string_types):
        raise TypeError('table must be a string, not %r' % (table,))


### Creating a task loop ###

def create(dbconn, table, id_type=DEFAULT_ID_TYPE,
           engine=DEFAULT_STORAGE_ENGINE):
    """Create a task loop table. It has a schema like this:

    .. code-block:: sql

        CREATE TABLE `...` (
            `id` INT NOT NULL,
            `last_updated` INT DEFAULT NULL,
            `lock_until` INT DEFAULT NULL,
            PRIMARY KEY (`id`),
            KEY `lock_until` (`lock_until`, `last_updated`)
        ) ENGINE=InnoDB

    * *id* is the ID of the thing you want to update. It can refer to anything
      that has a unique ID (doesn't need to be another table in this database).
      It also need not be an ``INT``; see *id_type*, below.
    * *last_updated*: a unix timestamp; when the thing was last updated, or
      ``NULL`` if it never was
    * *lock_until* is also a unix timestamp. It's used to keep workers from
      grabbing the same IDs, and prioritization. See :py:func:`~doloop.get`
      for details.

    :param dbconn: any DBI-compliant MySQL connection object
    :param str table: name of your task loop table. Something ending in
                      ``_loop`` is recommended.
    :param str id_type: alternate type for the ``id`` field (e.g.
                        ``'VARCHAR(64)'``)
    :param str engine: alternate storage engine to use (e.g. ``'MyISAM'``)

    There is no ``drop()`` function because programmatically dropping tables
    is risky. The relevant SQL is just ``DROP TABLE `...```.
    """
    sql = sql_for_create(table, id_type=id_type, engine=engine)
    dbconn.cursor().execute(sql)


def sql_for_create(table, id_type=DEFAULT_ID_TYPE,
                   engine=DEFAULT_STORAGE_ENGINE):
    """Get SQL used by :py:func:`create`.

    Useful to power :command:`create-doloop-table` (included with this
    package), which you can use to pipe ``CREATE`` statements into
    :command:`mysql`.
    """
    _check_table_is_a_string(table)

    return """CREATE TABLE `%s` (
    `id` %s NOT NULL,
    `last_updated` INT default NULL,
    `lock_until` INT default NULL,
    PRIMARY KEY (`id`),
    KEY `lock_until` (`lock_until`, `last_updated`)
) ENGINE=%s""" % (table, id_type, engine)


def _main_for_create_doloop_table(args=None):
    """Driver for the create-doloop-table script. See docs/scripts.rst
    for details."""
    if args is None:
        args = sys.argv[1:]

    usage = '%prog [options] table [table ...] | mysql -D dbname'
    description = ('Print SQL to create one or more task loop tables.')
    parser = optparse.OptionParser(usage=usage, description=description)

    parser.add_option(
        '-i', '--id-type', dest='id_type',
        default=DEFAULT_ID_TYPE,
        help='Type for the ID field (default: %default)')

    parser.add_option(
        '-e', '--engine', dest='engine',
        default=DEFAULT_STORAGE_ENGINE,
        help='Type for the ID field (default: %default)')

    options, tables = parser.parse_args(args)

    if not tables:
        parser.error('You must specify at least one table name')

    for table in tables:
        print(sql_for_create(table,
                             id_type=options.id_type,
                             engine=options.engine) + ';')
        print()


### Adding and removing IDs ###

def add(dbconn, table, id_or_ids, updated=False, test=False):
    """Add IDs to this task loop.

    :param dbconn: any DBI-compliant MySQL connection object
    :param str table: name of your task loop table
    :param id_or_ids: ID or list of IDs to add
    :param updated: Set this to true if these IDs have already been updated;
                    this will ``last_updated`` to the current time rather than
                    ``NULL``.
    :param test: If ``True``, don't actually write to the database

    :return: number of IDs that are new

    Runs this query with a write lock on *table*:

    .. code-block:: sql

        INSERT IGNORE INTO `...` (`id`, `last_updated`)
            VALUES (...), ...

    (`last_updated` is omitted if *updated* is ``False``.)
    """
    _check_table_is_a_string(table)

    ids = _to_list(id_or_ids)
    if not ids:
        return 0

    def query(cursor):
        return _add(cursor, table, ids, updated=updated)

    return _run(query, dbconn, roll_back=test, table_to_lock=table)


def _add(cursor, table, ids, updated=False):
    """Helper function to ``INSERT IGNORE`` IDs into the the table. By default,
    ``last_updated`` and ``lock_until`` will be ``NULL``.

    :param dbconn: any DBI-compliant MySQL connection object
    :param str table: name of your task loop table
    :param id_or_ids: ID or list of IDs to add
    :param updated: Set ``last_updated`` to the current time rather than
                    ``NULL``.
    """
    assert ids
    assert isinstance(ids, list)

    if updated:
        cols = '(`id`, `last_updated`)'
        row_sql = '(?, UNIX_TIMESTAMP())'
    else:
        cols = '(`id`)'
        row_sql = '(?)'

    sql = ('INSERT IGNORE INTO `%s` %s VALUES %s' %
           (table, cols, ', '.join(row_sql for _ in ids)))

    _execute(cursor, sql, ids)
    return cursor.rowcount


def remove(dbconn, table, id_or_ids, test=False):
    """Remove IDs from this task loop.

    :param dbconn: any DBI-compliant MySQL connection object
    :param str table: name of your task loop table
    :param id_or_ids: ID or list of IDs to add
    :param test: If ``True``, don't actually write to the database

    :return: number of IDs removed

    Runs this query with a write lock on *table*:

    .. code-block:: sql

        DELETE FROM `...` WHERE `id` IN (...)
    """
    _check_table_is_a_string(table)

    ids = _to_list(id_or_ids)
    if not ids:
        return 0

    sql = 'DELETE FROM `%s` WHERE `id` IN (%s)' % (
        table, ', '.join('?' for _ in ids))

    def query(cursor):
        cursor.execute('LOCK TABLE `%s` WRITE' % table)
        _execute(cursor, sql, ids)
        return cursor.rowcount

    return _run(query, dbconn, roll_back=test, table_to_lock=table)


### Getting and updating IDs ###

def get(dbconn, table, limit, lock_for=ONE_HOUR, min_loop_time=ONE_HOUR,
        test=False):
    """Get some IDs of things to update, and lock them.

    Generally, after you've updated IDs, you'll want to pass them
    to :py:func:`~doloop.did`.

    The rules for fetching IDs are:

    * First, fetch IDs which are locked but whose locks have expired. Start
      with the ones that have been locked the longest.
    * Then, fetch unlocked IDs. Start with those that have *never* been
      updated, then fetch the ones that have gone the longest without being
      updated.

    Ties (e.g. for newly inserted IDs) are broken arbitrarily by the database.

    Note that because IDs whose locks have expired are selected first, the
    ``lock_until`` column can also be used to prioritize IDs; see
    :py:func:`bump`.

    :param dbconn: any DBI-compliant MySQL connection object
    :param str table: name of your task loop table
    :param int limit: max number of IDs to fetch
    :param lock_for: a conservative upper bound for how long we expect to take
                     to update this ID, in seconds. Default is one hour. Must
                     be positive.
    :param min_loop_time: If a job is unlocked, make sure it was last updated
                          at least this many seconds ago, so that we don't spin
                          on the same IDs.
    :param test: If ``True``, don't actually write to the database

    :return: list of IDs

    Runs this query with a write lock on *table*:

    .. code-block:: sql

        SELECT `id` FROM `...`
            WHERE `lock_until` <= UNIX_TIMESTAMP()
            ORDER BY `lock_until`, `last_updated`
            LIMIT ...

        SELECT `id` FROM `...`
            WHERE `lock_until` IS NULL
            AND (`last_updated` IS NULL
                 OR `last_updated` <= UNIX_TIMESTAMP() - ...)
            ORDER BY `last_updated`
            LIMIT ...

        UPDATE `...` SET `lock_until` = UNIX_TIMESTAMP() + ...
            WHERE `id` IN (...)
    """
    # do type-checking up front, to avoid cryptic MySQL errors

    _check_table_is_a_string(table)

    if not isinstance(lock_for, (_integer_types, float)):
        raise TypeError('lock_for must be a number, not %r' % (lock_for,))

    if not lock_for > 0:
        raise ValueError('lock_for must be positive, not %d' % (lock_for,))

    if not isinstance(min_loop_time, (_integer_types, float)):
        raise TypeError('min_loop_time must be a number, not %r' %
                        (min_loop_time,))

    if not isinstance(limit, _integer_types):
        raise TypeError('limit must be an integer, not %r' % (limit,))

    if not limit >= 0:
        raise ValueError('limit must not be negative, was %r' % (limit,))

    # bail out if no rows requested

    if limit == 0:
        return []

    # order by ID as a tie-breaker, to make tests consistent

    select_bumped = ('SELECT `id` FROM `%s`'
                     ' WHERE `lock_until` <= UNIX_TIMESTAMP()'
                     ' ORDER BY `lock_until`, `last_updated`'
                     ' LIMIT ?') % (table,)

    select_unlocked = ('SELECT `id` FROM `%s`'
                       ' WHERE `lock_until` IS NULL'
                       ' AND (`last_updated` IS NULL OR'
                       ' `last_updated` <= UNIX_TIMESTAMP() - ?)'
                       ' ORDER BY `last_updated`'
                       ' LIMIT ?') % (table,)

    # this is a function because we need to know how many IDs there are
    def update_sql(ids):
        return ('UPDATE `%s` SET `lock_until` = UNIX_TIMESTAMP() + ?'
                ' WHERE `id` IN (%s)' %
                (table, ', '.join('?' for _ in ids)))

    def query(cursor):
        ids = []

        _execute(cursor, select_bumped, [limit])
        ids.extend(row[0] for row in cursor.fetchall())

        if len(ids) < limit:
            _execute(cursor, select_unlocked,
                     [min_loop_time, limit - len(ids)])
            ids.extend(row[0] for row in cursor.fetchall())

        if not ids:
            return []

        _execute(cursor, update_sql(ids), [lock_for] + ids)

        return ids

    return _run(query, dbconn, roll_back=test, table_to_lock=table)


def did(dbconn, table, id_or_ids, auto_add=True, test=False):
    """Mark IDs as updated and unlock them.

    Usually, these will be IDs that you grabbed using :py:func:`~doloop.get`,
    but it's perfectly fine to update arbitrary IDs on your own initiative,
    and mark them as done.

    :param dbconn: any DBI-compliant MySQL connection object
    :param str table: name of your task loop table
    :param id_or_ids: ID or list of IDs that we just updated
    :param bool auto_add: Add any IDs that are not already in the table.
    :param test: If ``True``, don't actually write to the database

    :return: number of rows updated (mostly useful as a sanity check)

    Runs this query with a write lock on *table*:

    .. code-block:: sql

        INSERT IGNORE INTO `...` (`id`) VALUES (...), ...

        UPDATE `...`
            SET `last_updated` = UNIX_TIMESTAMP(),
                `lock_until` = NULL
            WHERE `id` IN (...)

    (``INSERT IGNORE`` is only run if *auto_add* is ``True``.)
    """
    _check_table_is_a_string(table)

    ids = _to_list(id_or_ids)
    if not ids:
        return 0

    sql = ('UPDATE `%s` SET `last_updated` = UNIX_TIMESTAMP(),'
           ' `lock_until` = NULL'
           ' WHERE `id` IN (%s)' % (table,
                                    ', '.join('?' for _ in ids)))

    def query(cursor):
        if auto_add:
            _add(cursor, table, ids)

        _execute(cursor, sql, ids)
        return cursor.rowcount

    return _run(query, dbconn, roll_back=test, table_to_lock=table)


def unlock(dbconn, table, id_or_ids, auto_add=True, test=False):
    """Unlock IDs without marking them updated.

    Useful if you :py:func:`~doloop.get` IDs, but are then unable or unwilling
    to update them.

    :param dbconn: any DBI-compliant MySQL connection object
    :param str table: name of your task loop table
    :param id_or_ids: ID or list of IDs
    :param bool auto_add: Add any IDs that are not already in the table.
    :param test: If ``True``, don't actually write to the database

    :return: Either: number of rows updated/added *or* number of IDs that
             correspond to real rows. (MySQL unfortunately returns different
             row counts for ``UPDATE`` statements depending on how connections
             are configured.) Don't use this for anything more critical than
             sanity checks and logging.

    Runs this query with a write lock on *table*:

    .. code-block:: sql

        INSERT IGNORE INTO `...` (`id`) VALUES (...), ...

        UPDATE `...` SET `lock_until` = NULL
            WHERE `id` IN (...)

    (``INSERT IGNORE`` is only run if *auto_add* is ``True``)
    """
    _check_table_is_a_string(table)

    ids = _to_list(id_or_ids)
    if not ids:
        return 0

    update_sql = ('UPDATE `%s` SET `lock_until` = NULL'
                  ' WHERE `id` IN (%s)' % (table, ', '.join('?' for _ in ids)))

    def query(cursor):
        rowcount = 0

        # If MySQL is reporting # of rows AFFECTED, we have to keep track
        # of newly added rows here, since the update below won't affect them.
        if auto_add:
            _add(cursor, table, ids)
            rowcount += cursor.rowcount

        _execute(cursor, update_sql, ids)
        rowcount += cursor.rowcount

        # on the other hand, if MySQL is reporting # of rows FOUND, we just
        # double-counted the rows we auto-added.
        if auto_add and rowcount > len(ids):
            rowcount = cursor.rowcount  # of rows found by UPDATE statement

        # (The above can still be wrong if ids contains duplicates, but
        # we can't even know that; for example, the id column could be
        # a case-insenstive string. Not worth worrying about.)

        return rowcount

    return _run(query, dbconn, roll_back=test, table_to_lock=table)


### Prioritization ###

def bump(dbconn, table, id_or_ids, lock_for=0, auto_add=True, test=False):
    """Bump priority of IDs.

    Normally we set ``lock_until`` to the current time, which gives them
    priority without actually locking them (see :py:func:`~doloop.get` for
    why this works).

    You can make IDs super-high-priority by setting *lock_for* to a
    negative value. For example, bumping an ID with ``lock_for=-600`` will
    give it the same priority as an ID that was bumped 600 seconds ago.

    You can also lock IDs for a little while, then prioritize them, by setting
    *lock_for* to a positive value. This can be useful in situations where
    you expect IDs might be bumped again in the near future, and you only
    want to run your update function once.

    This function will only ever *decrease* ``lock_until``; it's not
    possible to keep something locked forever by continually bumping it.

    :param dbconn: any DBI-compliant MySQL connection object
    :param str table: name of your task loop table
    :param id_or_ids: ID or list of IDs
    :param lock_for: Number of seconds that the IDs should stay locked.
    :param bool auto_add: Add any IDs that are not already in the table.
    :param test: If ``True``, don't actually write to the database

    :return: number of IDs bumped (mostly useful as a sanity check)

    Runs this query with a write lock on *table*:

    .. code-block:: sql

        INSERT IGNORE INTO `...` (`id`) VALUES (...), ...

        UPDATE `...`
            SET `lock_until` = UNIX_TIMESTAMP() + ...
            WHERE (`lock_until` IS NULL OR
                   `lock_until` > UNIX_TIMESTAMP() + ...)
                  AND `id` IN (...)

    (``INSERT IGNORE`` is only run if *auto_add* is ``True``)
    """
    _check_table_is_a_string(table)

    if not isinstance(lock_for, (_integer_types, float)):
        raise TypeError('lock_for must be a number, not %r' %
                        (lock_for,))

    ids = _to_list(id_or_ids)
    if not ids:
        return 0

    sql = ('UPDATE `%s` SET `lock_until` = UNIX_TIMESTAMP() + ?'
           ' WHERE'
           ' (`lock_until` IS NULL OR'
           ' `lock_until` > UNIX_TIMESTAMP() + ?)'
           ' AND `id` IN (%s)' %
           (table, ', '.join('?' for _ in ids)))

    def query(cursor):
        if auto_add:
            _add(cursor, table, ids)
        _execute(cursor, sql, [lock_for, lock_for] + ids)
        return cursor.rowcount

    return _run(query, dbconn, roll_back=test, table_to_lock=table)


### Auditing ###

def check(dbconn, table, id_or_ids):
    """Check the status of particular IDs.

    :param dbconn: any DBI-compliant MySQL connection object
    :param str table: name of your task loop table
    :param id_or_ids: ID or list of IDs

    Returns a dictionary mapping ID to a tuple of ``(since_updated,
    locked_for)``, that is, the current time minus ``last_updated``, and
    ``lock_for`` minus the current time (both of these in seconds).

    This function does not require write access to your database and does not
    lock tables.

    Runs this query:

    .. code-block:: sql

        SELECT `id`,
               UNIX_TIMESTAMP() - `last_updated`,
               `lock_until` - UNIX_TIMESTAMP()`
            FROM `...`
            WHERE `id` IN (...)
    """
    _check_table_is_a_string(table)

    ids = _to_list(id_or_ids)
    if not ids:
        return {}

    sql = ('SELECT `id`,'
           ' UNIX_TIMESTAMP() - `last_updated`,'
           ' `lock_until` - UNIX_TIMESTAMP()'
           ' FROM `%s` WHERE `id` IN (%s)' %
           (table, ', '.join('?' for _ in ids)))

    def query(cursor):
        _execute(cursor, sql, ids)
        return dict((id_, (since_updated, locked_for))
                    for id_, since_updated, locked_for in cursor.fetchall())

    return _run(query, dbconn, roll_back=True, table_to_lock=None)


def stats(dbconn, table):
    """Get stats on the performance of the task loop as a whole.

    :param dbconn: any DBI-compliant MySQL connection object
    :param str table: name of your task loop table
    :param delay_thresholds: enables the *delayed* stat; see below

    It returns a dictionary containing these keys:

    * **bumped**: number of IDs where ``lock_until`` is now or in the past.
      (These IDs have the *highest* priority; see :py:func:`~doloop.get`.)
    * **locked**: number of IDs where ``lock_until`` is in the future
    * **min_bump_time**/**max_bump_time**: min/max number of seconds that any
      ID has been prioritized (``lock_until`` now or in the past)
    * **min_id**/**max_id**: min and max IDs (or ``None`` if table is empty)
    * **min_lock_time**/**max_lock_time**: min/max number of seconds that any
      ID is locked for
    * **min_update_time**/**max_update_time**: min/max number of seconds that
      an ID has gone since being updated

    For convenience and readability, all times will be floating point numbers.

    Only *min_id* and *max_id* can be ``None`` (when the table is empty).
    Everything else defaults to zero.

    This function does not require write access to your database and does not
    lock tables.

    :py:func:`stats` only scans locked/bumped rows and use indexes for
    everything else, so it should be very fast except in pathological cases.
    It runs these queries in a single transaction:

    .. code-block:: sql

        SELECT MIN(`id`), MAX(`id`), UNIX_TIMESTAMP() FROM `...`

        SELECT MIN(`last_updated`),
               MAX(`last_updated`),
               FROM `...`
               WHERE `lock_until` IS NULL;

        SELECT COUNT(*),
               MIN(`last_updated`),
               MAX(`last_updated`),
               MIN(`lock_until`),
               MAX(`lock_until`),
            FROM `...`
            WHERE `lock_until` > ...

        SELECT COUNT(*),
               MIN(`last_updated`),
               MAX(`last_updated`),
               MIN(`lock_until`),
               MAX(`lock_until`),
            FROM `...`
            WHERE `lock_until` <= ...
    """
    _check_table_is_a_string(table)

    id_and_now_sql = ('SELECT MIN(`id`), MAX(`id`), UNIX_TIMESTAMP()'
                      'FROM `%s`' % table)

    unlocked_sql = ('SELECT'
                    ' MIN(`last_updated`), MAX(`last_updated`)'
                    ' FROM `%s` WHERE `lock_until` IS NULL' % table)

    locked_sql = ('SELECT COUNT(*),'
                  ' MIN(`last_updated`), MAX(`last_updated`),'
                  ' MIN(`lock_until`), MAX(`lock_until`)'
                  ' FROM `%s` WHERE `lock_until` > ?' % table)

    bumped_sql = ('SELECT COUNT(*),'
                  ' MIN(`last_updated`), MAX(`last_updated`),'
                  ' MIN(`lock_until`), MAX(`lock_until`)'
                  ' FROM `%s` WHERE `lock_until` <= ?' % table)

    def query(cursor):
        r = {}  # results to return

        cursor.execute(id_and_now_sql)
        r['min_id'], r['max_id'], now = cursor.fetchall()[0]

        # clean up unnecessary longs (Python 2 only)
        if sys.version_info[0] == 2:
            for key in ('min_id', 'max_id'):
                if isinstance(r[key], long):
                    r[key] = int(r[key])

        # safe min and max for times that may be None (if no rows)
        def min_since_now(*times):
            times = [t for t in times if t is not None]
            return float(min(times) - now) if times else 0.0

        def max_since_now(*times):
            times = [t for t in times if t is not None]
            return float(max(times) - now) if times else 0.0

        cursor.execute(unlocked_sql)
        # keep track of min/max_last_updated until we have all of them
        min_lu_0, max_lu_0 = cursor.fetchall()[0]

        _execute(cursor, locked_sql, [now])
        (count, min_lu_1, max_lu_1,
         min_lock_until, max_lock_until) = cursor.fetchall()[0]
        r['locked'] = int(count)
        r['min_lock_time'] = min_since_now(min_lock_until)
        r['max_lock_time'] = max_since_now(max_lock_until)

        _execute(cursor, bumped_sql, [now])
        (count, min_lu_2, max_lu_2,
         min_lock_until, max_lock_until) = cursor.fetchall()[0]
        r['bumped'] = int(count)
        # lock times for bumped IDs are in the past
        r['min_bump_time'] = -max_since_now(max_lock_until)
        r['max_bump_time'] = -min_since_now(min_lock_until)

        # now that we have all the update times, calculate min/max
        # update times are in the past too
        r['min_update_time'] = -max_since_now(max_lu_0, max_lu_1, max_lu_2)
        r['max_update_time'] = -min_since_now(min_lu_0, min_lu_1, min_lu_2)

        return r

    return _run(query, dbconn, roll_back=True, table_to_lock=None)


### Object-Oriented version ###

class DoLoop(object):
    """A very thin wrapper that stores connection and table name, so you
    don't have have to specify *dbconn* and *table* over and over again.

    For example::

        foo_loop = doloop.DoLoop(dbconn, 'foo_loop')

        foo_ids = foo_loop.get(100)

        for foo_id in foo_ids:
            # update foo_id
            ...

        foo_loop.did(foo_ids)
    """

    def __init__(self, dbconn, table):
        """Wrap a task loop table in an object

        :param dbconn: any DBI-compliant MySQL connection object, or a callable
                       that returns one. If you use a callable, it'll be called
                       *every time* a method is called on this object, so put
                       any caching/pooling/etc. inside your callable.
        :param string table: name of your task loop table

        You can read (but not change) the table name from ``self.table``
        """
        if hasattr(dbconn, '__call__'):
            self._make_dbconn = dbconn
        else:
            self._make_dbconn = lambda: dbconn

        _check_table_is_a_string(table)
        self._table = table

    @property
    def table(self):
        return self._table

    def add(self, id_or_ids, updated=False, test=False):
        """Add IDs to this task loop.

        See :py:func:`~doloop.add` for details.
        """
        return add(self._make_dbconn(), self._table, id_or_ids, updated, test)

    def remove(self, id_or_ids, updated=False, test=False):
        """Remove IDs from this task loop.

        See :py:func:`~doloop.remove` for details.
        """
        return remove(self._make_dbconn(), self._table, id_or_ids, test)

    def get(self, limit, lock_for=ONE_HOUR, min_loop_time=ONE_HOUR,
            test=False):
        """Get some IDs of things to update and lock them.

        See :py:func:`~doloop.get` for details.
        """
        return get(self._make_dbconn(), self._table, limit, lock_for,
                   min_loop_time, test)

    def did(self, id_or_ids, auto_add=True, test=False):
        """Mark IDs as updated and unlock them.

        See :py:func:`~doloop.did` for details.
        """
        return did(self._make_dbconn(), self._table, id_or_ids, auto_add, test)

    def unlock(self, id_or_ids, auto_add=True, test=False):
        """Unlock IDs without marking them updated.

        See :py:func:`~doloop.unlock` for details.
        """
        return unlock(self._make_dbconn(), self._table, id_or_ids, auto_add,
                      test)

    def bump(self, id_or_ids, lock_for=0, auto_add=True, test=False):
        """Bump priority of IDs.

        See :py:func:`~doloop.bump` for details.
        """
        return bump(self._make_dbconn(), self._table, id_or_ids, lock_for,
                    auto_add, test)

    def check(self, id_or_ids):
        """Check the status of particular IDs.

        See :py:func:`~doloop.check` for details.
        """
        return check(self._make_dbconn(), self._table, id_or_ids)

    def stats(self):
        """Check on the performance of the task loop as a whole.

        See :py:func:`~doloop.stats` for details.
        """
        return stats(self._make_dbconn(), self._table)