Exemplo n.º 1
0
def setup_app(config):

    models.init_model()
    app_conf = dict(config.app)

    return make_app(
        app_conf.pop('root'),
        logging=getattr(config, 'logging', {}),
        **app_conf
    )
Exemplo n.º 2
0
def reload_config():
    from pecan import configuration
    config = configuration.conf_from_file(config_file()).to_dict()

    # Add the appropriate connection string to the app config.
    config['sqlalchemy'] = {
        'url': '%s/%s' % (BIND, DBNAME),
        'encoding': 'utf-8',
        'poolclass': NullPool
    }

    configuration.set_config(config, overwrite=True)
    _db.init_model()
Exemplo n.º 3
0
def bootstrap_pecan(signal, sender):
    try:
        config_path = os.environ['PECAN_CONFIG']
    except KeyError:
        here = os.path.abspath(os.path.dirname(__file__))
        # XXX this will not hold true when installing as a binary
        config_path = os.path.abspath(os.path.join(here, '../config/config.py'))

    pecan.configuration.set_config(config_path, overwrite=True)
    configure_celery_logging()
    # Once configuration is set we need to initialize the models so that we can connect
    # to the DB wth a configured mapper.
    models.init_model()
Exemplo n.º 4
0
def setup_app(config):

    models.init_model()
    app_conf = dict(config.app)

    app = make_app(app_conf.pop('root'),
                   logging=getattr(config, 'logging', {}),
                   **app_conf)

    # make a series of health checks, post if they are good
    asynch.post_if_healthy()

    return app
Exemplo n.º 5
0
def bootstrap_pecan(signal, sender):
    try:
        config_path = os.environ['PECAN_CONFIG']
    except KeyError:
        here = os.path.abspath(os.path.dirname(__file__))
        # XXX this will not hold true when installing as a binary
        config_path = os.path.abspath(os.path.join(here,
                                                   '../config/config.py'))

    pecan.configuration.set_config(config_path, overwrite=True)
    configure_celery_logging()
    # Once configuration is set we need to initialize the models so that we can connect
    # to the DB wth a configured mapper.
    models.init_model()
Exemplo n.º 6
0
Arquivo: app.py Projeto: ceph/chacra
def setup_app(config):

    models.init_model()
    app_conf = dict(config.app)

    app = make_app(
        app_conf.pop('root'),
        logging=getattr(config, 'logging', {}),
        **app_conf
    )

    # make a series of health checks, post if they are good
    async.post_if_healthy()

    return app
Exemplo n.º 7
0
def reload_config():
    from pecan import configuration
    config = configuration.conf_from_file(config_file()).to_dict()

    # Add the appropriate connection string to the app config.
    config['sqlalchemy'] = {
        'url': '%s/%s' % (BIND, DBNAME),
        'encoding': 'utf-8',
        'poolclass': NullPool
    }

    configuration.set_config(
        config,
        overwrite=True
    )
    _db.init_model()
Exemplo n.º 8
0
    try:
        os.environ['PECAN_CONFIG']
    except KeyError:
        here = os.path.abspath(os.path.dirname(__file__))
        config_path = os.path.abspath(os.path.join(here, '../config/config.py'))
        return config_path


pecan.configuration.set_config(get_pecan_config(), overwrite=True)
# FIXME: this needs to be configurable. Also, not sure if this is the right way
# to configure Celery for multiple tasks running in a single service.
# TODO: Investigate if this could be `chacra.async.rpm` and
# `chacra.async.debian` or if it doesn't matter
app = Celery('chacra.async', broker='amqp://guest@localhost//')

models.init_model()


class SQLATask(celery.Task):
    """
    An abstract Celery Task that ensures that the connection the the
    database is closed on task completion

    .. note:: On logs, it may appear as there are errors in the transaction but
    this is not an error condition: SQLAlchemy rolls back the transaction if no
    change was done.
    """
    abstract = True

    def after_return(self, status, retval, task_id, args, kwargs, einfo):
        models.clear()