cc7559e11767fa0d21f1b80fe86dae0cf74303c0,python/seldon_core/metrics.py,,,#,19

Before Change

// Development placeholder
LABELS = ["worker-id", "model", "image"]
my_labels = {"model": "latest", "image": "my-image"}


class SeldonMetrics:
    Class to manage custom metrics stored in shared memory.

After Change

ENV_MODEL_NAME = "PREDICTIVE_UNIT_ID"
ENV_MODEL_IMAGE = "PREDICTIVE_UNIT_IMAGE"
ENV_PREDICTOR_NAME = "PREDICTOR_ID"
ENV_PREDICTOR_LABELS = "PREDICTOR_LABELS"

COUNTER = "COUNTER"
GAUGE = "GAUGE"
TIMER = "TIMER"

// This sets the bins spread logarithmically between 0.001 and 30
BINS = [0] + list(np.logspace(-3, np.log10(30), 50)) + [np.inf]

// Development placeholder
LABELS = [
    "worker-id",
    "seldon_deployment_name",
    "model_name",
    "image_name",
    "image_version",
    "predictor_name",
    "predictor_version",
]

image = os.environ.get(ENV_MODEL_IMAGE, "UNDEFINED:UNDEFINED")
image_name, image_version = image.split(":")
predictor_version = json.loads(os.environ.get(ENV_PREDICTOR_LABELS, "{}")).get(
    "version", "UNDERFINED"
)

my_labels = {
    "seldon_deployment_name": os.environ.get(ENV_SELDON_DEPLOYMENT_NAME, "UNDEFINED"),
    "model_name": os.environ.get(ENV_MODEL_NAME, "UNDEFINED"),

Instances