def __init__(
self,
provider: str,
storage: Union[LocalStorage, S3, GCS],
api_spec: Dict[str, Any],
model_dir: str,
cache_dir: str = ".",
):
self.provider = provider
self.storage = storage
self.api_spec = api_spec
self.cache_dir = cache_dir
self.id = api_spec["id"]
self.predictor_id = api_spec["predictor_id"]
self.deployment_id = api_spec["deployment_id"]
self.key = api_spec["key"]
self.metadata_root = api_spec["metadata_root"]
self.name = api_spec["name"]
self.predictor = Predictor(provider, api_spec, model_dir)
self.monitoring = None
if self.api_spec.get("monitoring") is not None:
self.monitoring = Monitoring(**self.api_spec["monitoring"])
if provider != "local":
host_ip = os.environ["HOST_IP"]
datadog.initialize(statsd_host=host_ip, statsd_port="8125")
self.statsd = datadog.statsd
if provider == "local":
self.metrics_file_lock = threading.Lock()
def __init__(
self,
provider: str,
storage: Union[S3, GCS],
api_spec: Dict[str, Any],
model_dir: str,
cache_dir: str = ".",
):
self.provider = provider
self.storage = storage
self.api_spec = api_spec
self.cache_dir = cache_dir
self.id = api_spec["id"]
self.predictor_id = api_spec["predictor_id"]
self.deployment_id = api_spec["deployment_id"]
self.key = api_spec["key"]
self.metadata_root = api_spec["metadata_root"]
self.name = api_spec["name"]
self.predictor = Predictor(provider, api_spec, model_dir)
host_ip = os.environ["HOST_IP"]
datadog.initialize(statsd_host=host_ip, statsd_port=9125)
self.__statsd = datadog.statsd
def __init__(
self,
api_spec: Dict[str, Any],
model_dir: str,
cache_dir: str = ".",
):
self.api_spec = api_spec
self.cache_dir = cache_dir
self.id = api_spec["id"]
self.predictor_id = api_spec["predictor_id"]
self.deployment_id = api_spec["deployment_id"]
self.name = api_spec["name"]
self.predictor = Predictor(api_spec, model_dir)
host_ip = os.environ["HOST_IP"]
datadog.initialize(statsd_host=host_ip, statsd_port=9125)
self.__statsd = datadog.statsd