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126 lines
4.4 KiB
Python
126 lines
4.4 KiB
Python
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"""
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PostgreSQL Session Classes
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==========================
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The Session classes wrap the Queries :py:class:`Session <queries.Session>` and
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:py:class:`TornadoSession <queries.tornado_session.TornadoSession>` classes
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providing environment variable based configuration.
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The environment variables should be set using the ``DBNAME_[VARIABLE]`` format
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where ``[VARIABLE]`` is one of ``HOST``, ``PORT``, ``DBNAME``, ``USER``, and
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``PASSWORD``.
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For example, given the environment variables:
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.. code:: python
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FOO_HOST = 'foodb'
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FOO_PORT = '6000'
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FOO_DBNAME = 'foo'
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FOO_USER = 'bar'
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FOO_PASSWORD = 'baz'
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and code for creating a :py:class:`Session` instance for the database name
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``foo``:
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.. code:: python
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session = sprockets.postgresql.Session('foo')
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The uri ``postgresql://bar:baz@foodb:6000/foo`` will be used when creating the
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instance of :py:class:`queries.Session`.
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"""
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version_info = (1, 0, 0)
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__version__ = '.'.join(str(v) for v in version_info)
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import logging
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import os
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from queries import pool
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import queries
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from queries import tornado_session
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_ARGUMENTS = ['host', 'port', 'dbname', 'user', 'password']
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LOGGER = logging.getLogger(__name__)
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def _get_uri(dbname):
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"""Construct the URI for connecting to PostgreSQL by appending each
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argument name to the dbname, delimited by an underscore and
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capitalizing the new variable name.
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Values will be retrieved from the environment variable and added to a
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dictionary that is then passed in as keyword arguments to the
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:py:meth:`queries.uri` method to build the URI string.
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:param str dbname: The database name to construct the URI for
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:return: str
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"""
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kwargs = dict()
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for arg in _ARGUMENTS:
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value = os.getenv(('%s_%s' % (dbname, arg)).upper())
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if value:
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if arg == 'port':
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kwargs[arg] = int(value)
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else:
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kwargs[arg] = value
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return queries.uri(**kwargs)
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class Session(queries.Session):
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"""Extends queries.Session using configuration data that is stored
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in environment variables.
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Utilizes connection pooling to ensure that multiple concurrent asynchronous
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queries do not block each other. Heavily trafficked services will require
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a higher ``max_pool_size`` to allow for greater connection concurrency.
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:param str dbname: PostgreSQL database name
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:param queries.cursor: The cursor type to use
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:param int pool_idle_ttl: How long idle pools keep connections open
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:param int pool_max_size: The maximum size of the pool to use
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"""
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def __init__(self, dbname,
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cursor_factory=queries.RealDictCursor,
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pool_idle_ttl=pool.DEFAULT_IDLE_TTL,
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pool_max_size=pool.DEFAULT_MAX_SIZE):
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super(Session, self).__init__(_get_uri(dbname),
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cursor_factory,
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pool_idle_ttl,
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pool_max_size)
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class TornadoSession(tornado_session.TornadoSession):
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"""Extends queries.TornadoSession using configuration data that is stored
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in environment variables.
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Utilizes connection pooling to ensure that multiple concurrent asynchronous
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queries do not block each other. Heavily trafficked services will require
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a higher ``max_pool_size`` to allow for greater connection concurrency.
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:py:meth:`query <queries.tornado_session.TornadoSession.query>` and
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:py:meth:`callproc <queries.tornado_session.TornadoSession.callproc>` must
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call :py:meth:`Results.free <queries.tornado_session.Results.free>`
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:param str dbname: PostgreSQL database name
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:param queries.cursor: The cursor type to use
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:param int pool_idle_ttl: How long idle pools keep connections open
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:param int pool_max_size: The maximum size of the pool to use
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:param tornado.ioloop.IOLoop ioloop: Pass in the instance of the tornado
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IOLoop you would like to use. Defaults to the global instance.
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"""
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def __init__(self, dbname,
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cursor_factory=queries.RealDictCursor,
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pool_idle_ttl=pool.DEFAULT_IDLE_TTL,
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pool_max_size=tornado_session.DEFAULT_MAX_POOL_SIZE,
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io_loop=None):
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super(TornadoSession, self).__init__(_get_uri(dbname),
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cursor_factory,
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pool_idle_ttl,
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pool_max_size,
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io_loop)
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