Update detector_api

Author: jaime-cespedes-sisniega

detector_api/Dockerfile

@@ -1,5 +1,5 @@
 FROM python:3.10-slim
-LABEL author="Jaime Céspedes Sisniega <cespedes@ifca.unican.es>"
+LABEL author="Jaime Céspedes Sisniega <jaime.cespedes@alumnos.unican.es>"
 
 ARG DATASET
 ARG PARENT_DIR
@@ -15,7 +15,7 @@ RUN apt-get -y update && \
     rm requirements.txt
 
 COPY ${PARENT_DIR}/app ./
-COPY ./ml/${DATASET}/detector.pkl ./objects/detector.pkl
+COPY ./ml/objects/${DATASET}/detector.pkl ./objects/detector.pkl
 
 USER app
 

detector_api/app/api.py

@@ -25,14 +25,14 @@
     status_code=HTTP_200_OK,
 )
 async def check_drift(data: DetectorInputData) -> DistanceBasedResponse:
-    """Check if drift is present.
+    """Check if covariate drift is present.
 
     :param data: input data
     :type data: DetectorInputData
-    :return: drift data information
+    :return: covariate drift data information
     :rtype: DistanceBasedResponse
     """
-    logging.info("Checking drift...")
+    logging.info("Checking covariate drift...")
     check_drift_result = detector.check_drift(
         values=data.values,
         alpha=data.alpha,

detector_api/app/detector.py

@@ -18,14 +18,14 @@ class Detector(metaclass=SingletonMeta):
 
     def __init__(self: "Detector", settings: DetectorSettings) -> None:
         """Init method."""
-        logging.info("Loading drift detector...")
+        logging.info("Loading covariate drift detector...")
         self.detector = self.load(
             settings=settings,
         )
-        logging.info("Drift detector loaded.")
+        logging.info("Covariate drift detector loaded.")
 
     def load(self: "Detector", settings: DetectorSettings) -> BaseDetector:
-        """Load drift detector.
+        """Load covariate drift detector.
 
         :return detector
         :rtype: BaseDetector
@@ -46,13 +46,13 @@ def check_drift(
         values: np.ndarray,
         alpha: float = 0.05,
     ) -> dict[str, Any]:
-        """Check if drift is present.
+        """Check if covariate drift is present.
 
         :param values: input sample
         :type values: numpy.ndarray
         :param alpha: significance level, defaults to 0.05
         :type alpha: float, optional
-        :return: drift data information
+        :return: covariate drift data information
         :rtype: dict[str, Any]
         """
         distance, callback_logs = self.detector.compare(

detector_api/app/settings.py

@@ -12,7 +12,7 @@ class APISettings(BaseSettings):
     """
 
     API_V1_STR: str = "/api/v1"
-    PROJECT_NAME: str = "Data drift detection service"
+    PROJECT_NAME: str = "Covariate drift detection service"
     VERSION: str = "1.0.0"