blob: 669ca176fe24301cddaf74184645864e24586cf7 [file] [log] [blame]
from sqlalchemy.orm import subqueryload
class SourceRegistry(object):
""" Central Registry for all available datasource engines"""
sources = {}
@classmethod
def register_sources(cls, datasource_config):
for module_name, class_names in datasource_config.items():
module_obj = __import__(module_name, fromlist=class_names)
for class_name in class_names:
source_class = getattr(module_obj, class_name)
cls.sources[source_class.type] = source_class
@classmethod
def get_datasource(cls, datasource_type, datasource_id, session):
return (
session.query(cls.sources[datasource_type])
.filter_by(id=datasource_id)
.one()
)
@classmethod
def get_all_datasources(cls, session):
datasources = []
for source_type in SourceRegistry.sources:
datasources.extend(
session.query(SourceRegistry.sources[source_type]).all())
return datasources
@classmethod
def get_datasource_by_name(cls, session, datasource_type, datasource_name,
schema, database_name):
datasource_class = SourceRegistry.sources[datasource_type]
datasources = session.query(datasource_class).all()
db_ds = [d for d in datasources if d.database.name == database_name and
d.name == datasource_name and schema == schema]
return db_ds[0]
@classmethod
def get_eager_datasource(cls, session, datasource_type, datasource_id):
"""Returns datasource with columns and metrics."""
datasource_class = SourceRegistry.sources[datasource_type]
if datasource_type == 'table':
return (
session.query(datasource_class)
.options(
subqueryload(datasource_class.columns),
subqueryload(datasource_class.metrics)
)
.filter_by(id=datasource_id)
.one()
)
# TODO: support druid datasources.
return session.query(datasource_class).filter_by(
id=datasource_id).first()