def configure_db(app):
if not app.config['TESTING']:
cfg = Config.getInstance()
db_uri = cfg.getSQLAlchemyDatabaseURI()
if db_uri is None:
raise Exception("No proper SQLAlchemy store has been configured. Please edit your indico.conf")
app.config['SQLALCHEMY_DATABASE_URI'] = db_uri
# DB options
app.config['SQLALCHEMY_ECHO'] = cfg.getSQLAlchemyEcho()
app.config['SQLALCHEMY_RECORD_QUERIES'] = cfg.getSQLAlchemyRecordQueries()
app.config['SQLALCHEMY_POOL_SIZE'] = cfg.getSQLAlchemyPoolSize()
app.config['SQLALCHEMY_POOL_TIMEOUT'] = cfg.getSQLAlchemyPoolTimeout()
app.config['SQLALCHEMY_POOL_RECYCLE'] = cfg.getSQLAlchemyPoolRecycle()
app.config['SQLALCHEMY_MAX_OVERFLOW'] = cfg.getSQLAlchemyMaxOverflow()
import_all_models()
db.init_app(app)
if not app.config['TESTING']:
apply_db_loggers(app)
plugins_loaded.connect(lambda sender: configure_mappers(), app, weak=False)
models_committed.connect(on_models_committed, app)
def configure_db(app):
app.config['SQLALCHEMY_TRACK_MODIFICATIONS'] = True
if app.config['TESTING']:
# tests do not actually use sqlite but run a postgres instance and
# reconfigure flask-sqlalchemy to use that database. by setting
# a dummy uri explicitly instead of letting flask-sqlalchemy do
# the exact same thing we avoid a warning when running tests.
app.config.setdefault('SQLALCHEMY_DATABASE_URI', 'sqlite:///:memory:')
else:
if config.SQLALCHEMY_DATABASE_URI is None:
raise Exception(
"No proper SQLAlchemy store has been configured. Please edit your indico.conf"
)
app.config['SQLALCHEMY_DATABASE_URI'] = config.SQLALCHEMY_DATABASE_URI
app.config['SQLALCHEMY_RECORD_QUERIES'] = False
app.config['SQLALCHEMY_POOL_SIZE'] = config.SQLALCHEMY_POOL_SIZE
app.config['SQLALCHEMY_POOL_TIMEOUT'] = config.SQLALCHEMY_POOL_TIMEOUT
app.config['SQLALCHEMY_POOL_RECYCLE'] = config.SQLALCHEMY_POOL_RECYCLE
app.config['SQLALCHEMY_MAX_OVERFLOW'] = config.SQLALCHEMY_MAX_OVERFLOW
import_all_models()
db.init_app(app)
if not app.config['TESTING']:
apply_db_loggers(app)
plugins_loaded.connect(lambda sender: configure_mappers(), app, weak=False)
models_committed.connect(on_models_committed, app)
def configure_db(app):
app.config['SQLALCHEMY_TRACK_MODIFICATIONS'] = True
if not app.config['TESTING']:
cfg = Config.getInstance()
db_uri = cfg.getSQLAlchemyDatabaseURI()
if db_uri is None:
raise Exception(
"No proper SQLAlchemy store has been configured. Please edit your indico.conf"
)
app.config['SQLALCHEMY_DATABASE_URI'] = db_uri
app.config['SQLALCHEMY_RECORD_QUERIES'] = False
app.config['SQLALCHEMY_POOL_SIZE'] = cfg.getSQLAlchemyPoolSize()
app.config['SQLALCHEMY_POOL_TIMEOUT'] = cfg.getSQLAlchemyPoolTimeout()
app.config['SQLALCHEMY_POOL_RECYCLE'] = cfg.getSQLAlchemyPoolRecycle()
app.config['SQLALCHEMY_MAX_OVERFLOW'] = cfg.getSQLAlchemyMaxOverflow()
import_all_models()
db.init_app(app)
if not app.config['TESTING']:
apply_db_loggers(app)
plugins_loaded.connect(lambda sender: configure_mappers(), app, weak=False)
models_committed.connect(on_models_committed, app)
def test_load(mock_entry_point, flask_app, engine):
"""
We can load a plugin
"""
loaded = {'result': False}
def _on_load(sender):
loaded['result'] = True
plugins_loaded.connect(_on_load, flask_app)
engine.load_plugins(flask_app)
assert loaded['result']
with flask_app.app_context():
assert len(engine.get_failed_plugins()) == 0
assert list(engine.get_active_plugins()) == ['espresso']
plugin = engine.get_active_plugins()['espresso']
assert plugin.title == 'EspressoModule'
assert plugin.description == 'Creamy espresso out of your Flask app'
assert plugin.version == '1.2.3'
assert plugin.package_version == '1.2.3'
def configure_db(app):
app.config['SQLALCHEMY_TRACK_MODIFICATIONS'] = True
if app.config['TESTING']:
# tests do not actually use sqlite but run a postgres instance and
# reconfigure flask-sqlalchemy to use that database. by setting
# a dummy uri explicitly instead of letting flask-sqlalchemy do
# the exact same thing we avoid a warning when running tests.
app.config.setdefault('SQLALCHEMY_DATABASE_URI', 'sqlite:///:memory:')
else:
if config.SQLALCHEMY_DATABASE_URI is None:
raise Exception("No proper SQLAlchemy store has been configured. Please edit your indico.conf")
app.config['SQLALCHEMY_DATABASE_URI'] = config.SQLALCHEMY_DATABASE_URI
app.config['SQLALCHEMY_RECORD_QUERIES'] = False
app.config['SQLALCHEMY_POOL_SIZE'] = config.SQLALCHEMY_POOL_SIZE
app.config['SQLALCHEMY_POOL_TIMEOUT'] = config.SQLALCHEMY_POOL_TIMEOUT
app.config['SQLALCHEMY_POOL_RECYCLE'] = config.SQLALCHEMY_POOL_RECYCLE
app.config['SQLALCHEMY_MAX_OVERFLOW'] = config.SQLALCHEMY_MAX_OVERFLOW
import_all_models()
db.init_app(app)
if not app.config['TESTING']:
apply_db_loggers(app)
plugins_loaded.connect(lambda sender: configure_mappers(), app, weak=False)
models_committed.connect(on_models_committed, app)
def test_load(mock_entry_point, flask_app, engine):
"""
We can load a plugin
"""
loaded = {'result': False}
def _on_load(sender):
loaded['result'] = True
plugins_loaded.connect(_on_load, flask_app)
engine.load_plugins(flask_app)
assert loaded['result']
with flask_app.app_context():
assert len(engine.get_failed_plugins()) == 0
assert list(engine.get_active_plugins()) == ['espresso']
plugin = engine.get_active_plugins()['espresso']
assert plugin.title == 'EspressoModule'
assert plugin.description == 'Creamy espresso out of your Flask app'
assert plugin.version == '1.2.3'
assert plugin.package_version == '1.2.3'
def configure_db(app):
app.config['SQLALCHEMY_TRACK_MODIFICATIONS'] = True
if not app.config['TESTING']:
if config.SQLALCHEMY_DATABASE_URI is None:
raise Exception(
"No proper SQLAlchemy store has been configured. Please edit your indico.conf"
)
app.config['SQLALCHEMY_DATABASE_URI'] = config.SQLALCHEMY_DATABASE_URI
app.config['SQLALCHEMY_RECORD_QUERIES'] = False
app.config['SQLALCHEMY_POOL_SIZE'] = config.SQLALCHEMY_POOL_SIZE
app.config['SQLALCHEMY_POOL_TIMEOUT'] = config.SQLALCHEMY_POOL_TIMEOUT
app.config['SQLALCHEMY_POOL_RECYCLE'] = config.SQLALCHEMY_POOL_RECYCLE
app.config['SQLALCHEMY_MAX_OVERFLOW'] = config.SQLALCHEMY_MAX_OVERFLOW
import_all_models()
db.init_app(app)
if not app.config['TESTING']:
apply_db_loggers(app)
plugins_loaded.connect(lambda sender: configure_mappers(), app, weak=False)
models_committed.connect(on_models_committed, app)
