class ErrorInfoSchema(ApiObjectSchema):
msg = fields.String()
help_msg = fields.String(allow_none=True)
databand_error = fields.Bool()
exc_type = fields.Function(lambda obj: str(obj.exc_type), allow_none=True)
traceback = fields.String()
nested = fields.String(allow_none=True)
user_code_traceback = fields.String()
show_exc_info = fields.Bool()
@post_load
def make_object(self, data, **kwargs):
return ErrorInfo(**data)
class AlertDefsSchema(ApiStrictSchema):
severity = fields.Str(required=True)
type = fields.Str(required=True)
user_metric = fields.Str()
operator = fields.Str()
is_str_value = fields.Bool()
created_at = fields.DateTime()
scheduled_job_name = fields.Str(attribute="scheduled_job.name")
source_instance_name = fields.Method("get_tracking_source_name")
env = fields.Method("get_tracking_source_env")
# TODO_CORE: API: Deprecate airflow_server_info
airflow_instance_name = fields.Method("get_tracking_source_name")
project_id = fields.Int(attribute="job.project_id")
project_name = fields.Str(attribute="job.project.name")
alert_on_historical_runs = fields.Bool()
group_uid = fields.Str(allow_none=True, load_from="alert_group_uid")
root_group_uid = fields.Str(allow_none=True,
load_from="alert_root_group_uid")
uid = fields.Str(allow_none=True)
value = fields.Str(allow_none=True)
job_id = fields.Int(allow_none=True)
summary = fields.Str(allow_none=True)
job_name = fields.Str(attribute="job.name", allow_none=True)
task_repr = fields.Str(allow_none=True)
task_name = fields.Str(allow_none=True)
custom_name = fields.Str(allow_none=True)
original_uid = fields.Str(allow_none=True)
advanced_json = fields.Str(allow_none=True)
scheduled_job_uid = fields.Str(allow_none=True)
custom_description = fields.Str(allow_none=True)
ml_alert = fields.Nested(MLAlert, allow_none=True)
# Fields for DatasetSlaAlert/DatasetSlaAdvancedAlert alert
# --------------------------------------
seconds_delta = fields.Int(
allow_none=True) # Converts to datetime.timedelta
dataset_partial_name = fields.Str(allow_none=True)
datasets_uids = fields.List(fields.Str(), allow_none=True)
# Fields for OperationColumnStatAdvancedAlert alert
# --------------------------------------
dataset_uid = fields.Str(allow_none=True)
# Operation type (e.g. "read", "write", None=any) to filter stats by
operation_type = fields.Str(allow_none=True)
# Type of MetricRule, found in dbnd_web. Used to build advanced_json
metrics_rules = fields.List(fields.Dict(), allow_none=True)
# Used only used by the UI
affected_datasets = fields.List(fields.Dict(),
allow_none=True,
dump_only=True)
assigned_jobs = fields.Method(serialize="get_assigned_jobs",
dump_only=True)
is_system = fields.Function(lambda alert_def: alert_def.owner == "system",
dump_only=True)
def get_tracking_source_name(self, obj):
return self._get_tracking_source_instance(obj).name
def get_tracking_source_env(self, obj):
return self._get_tracking_source_instance(obj).env
def _get_tracking_source_instance(self, obj):
if obj.job:
return obj.job.tracking_source
return obj.tracking_source
@pre_load
def prepere(self, data: dict, **kwargs):
value = data.get("value", None)
if value is not None:
data["value"] = str(data["value"])
return data
def get_assigned_jobs(self, alert_def):
self_job = (alert_def.job_id, alert_def.job_name)
sub_alerts_jobs = ((sub_alert.job_id, sub_alert.job_name)
for sub_alert in alert_def.sub_alert_definitions)
alert_jobs = chain(sub_alerts_jobs, [self_job])
alert_jobs = set(filter(lambda l: l != (None, None), alert_jobs))
serialized_assigned_jobs = [{
"job_id": job_id,
"job_name": job_name
} for job_id, job_name in alert_jobs]
return serialized_assigned_jobs