def _register_sensor_from_pack(self, pack, sensor):
sensor_metadata_file_path = sensor
LOG.debug("Loading sensor from %s.", sensor_metadata_file_path)
content = self._meta_loader.load(file_path=sensor_metadata_file_path)
pack_field = content.get("pack", None)
if not pack_field:
content["pack"] = pack
pack_field = pack
if pack_field != pack:
raise Exception(
'Model is in pack "%s" but field "pack" is different: %s'
% (pack, pack_field)
)
entry_point = content.get("entry_point", None)
if not entry_point:
raise ValueError("Sensor definition missing entry_point")
# Add in "metadata_file" attribute which stores path to the pack metadata file relative to
# the pack directory
metadata_file = content_utils.get_relative_path_to_pack_file(
pack_ref=pack, file_path=sensor, use_pack_cache=True
)
content["metadata_file"] = metadata_file
# Pass override information
altered = self._override_loader.override(pack, "sensors", content)
sensors_dir = os.path.dirname(sensor_metadata_file_path)
sensor_file_path = os.path.join(sensors_dir, entry_point)
artifact_uri = "file://%s" % (sensor_file_path)
content["artifact_uri"] = artifact_uri
content["entry_point"] = entry_point
sensor_api = SensorTypeAPI(**content)
sensor_model = SensorTypeAPI.to_model(sensor_api)
sensor_types = SensorType.query(pack=sensor_model.pack, name=sensor_model.name)
if len(sensor_types) >= 1:
sensor_type = sensor_types[0]
LOG.debug(
"Found existing sensor id:%s with name:%s. Will update it.",
sensor_type.id,
sensor_type.name,
)
sensor_model.id = sensor_type.id
try:
sensor_model = SensorType.add_or_update(sensor_model)
except:
LOG.exception("Failed creating sensor model for %s", sensor)
return sensor_model, altered
def test_to_sensor_db_model_with_trigger_types(self):
sensor_meta = {
'artifact_uri': 'file:///data/st2contrib/packs/jira/sensors/jira_sensor.py',
'class_name': 'JIRASensor',
'pack': 'jira',
'trigger_types': [{'pack': 'jira', 'name': 'issue_created', 'parameters': {}}]
}
sensor_api = SensorTypeAPI(**sensor_meta)
sensor_model = SensorTypeAPI.to_model(sensor_api)
self.assertListEqual(sensor_model.trigger_types, ['mock.trigger_ref'])
def test_to_sensor_db_model_with_trigger_types(self):
sensor_meta = {
"artifact_uri": "file:///data/st2contrib/packs/jira/sensors/jira_sensor.py",
"class_name": "JIRASensor",
"pack": "jira",
"trigger_types": [{"pack": "jira", "name": "issue_created", "parameters": {}}],
}
sensor_api = SensorTypeAPI(**sensor_meta)
sensor_model = SensorTypeAPI.to_model(sensor_api)
self.assertListEqual(sensor_model.trigger_types, ["mock.trigger_ref"])
def test_to_sensor_db_model_no_trigger_types(self):
sensor_meta = {
'artifact_uri': 'file:///data/st2contrib/packs/jira/sensors/jira_sensor.py',
'class_name': 'JIRASensor',
'pack': 'jira'
}
sensor_api = SensorTypeAPI(**sensor_meta)
sensor_model = SensorTypeAPI.to_model(sensor_api)
self.assertEqual(sensor_model.name, sensor_meta['class_name'])
self.assertEqual(sensor_model.pack, sensor_meta['pack'])
self.assertEqual(sensor_model.artifact_uri, sensor_meta['artifact_uri'])
self.assertListEqual(sensor_model.trigger_types, [])
def test_to_sensor_db_model_no_trigger_types(self):
sensor_meta = {
"artifact_uri": "file:///data/st2contrib/packs/jira/sensors/jira_sensor.py",
"class_name": "JIRASensor",
"pack": "jira",
}
sensor_api = SensorTypeAPI(**sensor_meta)
sensor_model = SensorTypeAPI.to_model(sensor_api)
self.assertEqual(sensor_model.name, sensor_meta["class_name"])
self.assertEqual(sensor_model.pack, sensor_meta["pack"])
self.assertEqual(sensor_model.artifact_uri, sensor_meta["artifact_uri"])
self.assertListEqual(sensor_model.trigger_types, [])
def test_to_sensor_db_model_no_trigger_types(self):
sensor_meta = {
"artifact_uri":
"file:///data/st2contrib/packs/jira/sensors/jira_sensor.py",
"class_name": "JIRASensor",
"pack": "jira",
}
sensor_api = SensorTypeAPI(**sensor_meta)
sensor_model = SensorTypeAPI.to_model(sensor_api)
self.assertEqual(sensor_model.name, sensor_meta["class_name"])
self.assertEqual(sensor_model.pack, sensor_meta["pack"])
self.assertEqual(sensor_model.artifact_uri,
sensor_meta["artifact_uri"])
self.assertListEqual(sensor_model.trigger_types, [])
def _register_sensor_from_pack(self, pack, sensor):
sensor_metadata_file_path = sensor
LOG.debug('Loading sensor from %s.', sensor_metadata_file_path)
content = self._meta_loader.load(file_path=sensor_metadata_file_path)
pack_field = content.get('pack', None)
if not pack_field:
content['pack'] = pack
pack_field = pack
if pack_field != pack:
raise Exception('Model is in pack "%s" but field "pack" is different: %s' %
(pack, pack_field))
entry_point = content.get('entry_point', None)
if not entry_point:
raise ValueError('Sensor definition missing entry_point')
# Add in "metadata_file" attribute which stores path to the pack metadata file relative to
# the pack directory
metadata_file = content_utils.get_relative_path_to_pack_file(pack_ref=pack,
file_path=sensor,
use_pack_cache=True)
content['metadata_file'] = metadata_file
sensors_dir = os.path.dirname(sensor_metadata_file_path)
sensor_file_path = os.path.join(sensors_dir, entry_point)
artifact_uri = 'file://%s' % (sensor_file_path)
content['artifact_uri'] = artifact_uri
content['entry_point'] = entry_point
sensor_api = SensorTypeAPI(**content)
sensor_model = SensorTypeAPI.to_model(sensor_api)
sensor_types = SensorType.query(pack=sensor_model.pack, name=sensor_model.name)
if len(sensor_types) >= 1:
sensor_type = sensor_types[0]
LOG.debug('Found existing sensor id:%s with name:%s. Will update it.',
sensor_type.id, sensor_type.name)
sensor_model.id = sensor_type.id
try:
sensor_model = SensorType.add_or_update(sensor_model)
except:
LOG.exception('Failed creating sensor model for %s', sensor)
return sensor_model
def test_to_sensor_db_model_with_trigger_types(self):
sensor_meta = {
"artifact_uri":
"file:///data/st2contrib/packs/jira/sensors/jira_sensor.py",
"class_name":
"JIRASensor",
"pack":
"jira",
"trigger_types": [{
"pack": "jira",
"name": "issue_created",
"parameters": {}
}],
}
sensor_api = SensorTypeAPI(**sensor_meta)
sensor_model = SensorTypeAPI.to_model(sensor_api)
self.assertListEqual(sensor_model.trigger_types, ["mock.trigger_ref"])
def _register_sensor_from_pack(self, pack, sensor):
sensor_metadata_file_path = sensor
LOG.debug('Loading sensor from %s.', sensor_metadata_file_path)
content = self._meta_loader.load(file_path=sensor_metadata_file_path)
pack_field = content.get('pack', None)
if not pack_field:
content['pack'] = pack
pack_field = pack
if pack_field != pack:
raise Exception(
'Model is in pack "%s" but field "pack" is different: %s' %
(pack, pack_field))
entry_point = content.get('entry_point', None)
if not entry_point:
raise ValueError('Sensor definition missing entry_point')
sensors_dir = os.path.dirname(sensor_metadata_file_path)
sensor_file_path = os.path.join(sensors_dir, entry_point)
artifact_uri = 'file://%s' % (sensor_file_path)
content['artifact_uri'] = artifact_uri
content['entry_point'] = entry_point
sensor_api = SensorTypeAPI(**content)
sensor_model = SensorTypeAPI.to_model(sensor_api)
sensor_types = SensorType.query(pack=sensor_model.pack,
name=sensor_model.name)
if len(sensor_types) >= 1:
sensor_type = sensor_types[0]
LOG.debug(
'Found existing sensor id:%s with name:%s. Will update it.',
sensor_type.id, sensor_type.name)
sensor_model.id = sensor_type.id
try:
sensor_model = SensorType.add_or_update(sensor_model)
except:
LOG.exception('Failed creating sensor model for %s', sensor)
return sensor_model
