chore(anomaly-detection) Return meaningful errors on failure of save endpoint

src/seer/anomaly_detection/anomaly_detection.py

@@ -23,6 +23,7 @@
     TimeSeriesWithHistory,
 )
 from seer.dependency_injection import inject, injected
+from seer.exceptions import ClientError, ServerError
 
 anomaly_detection_module.enable()
 logger = logging.getLogger(__name__)
@@ -107,10 +108,23 @@ def _online_detect(
         # Retrieve historic data
         historic = alert_data_accessor.query(alert.id)
         if historic is None:
-            raise Exception(f"Invalid alert id {alert.id}")
+
+            logger.error(
+                "no_stored_history_data",
+                extra={
+                    "alert_id": alert.id,
+                },
+            )
+            raise ClientError("No timeseries data found for alert")
 
         if not isinstance(historic.anomalies, MPTimeSeriesAnomalies):
-            raise Exception("Invalid state")
+            logger.error(
+                "invalid_state",
+                extra={
+                    "note": f"Expecting object of type MPTimeSeriesAnomalies but found {type(historic.anomalies)}"
+                },
+            )
+            raise ServerError("Invalid state")
         anomalies: MPTimeSeriesAnomalies = historic.anomalies
 
         # TODO: Need to check the time gap between historic data and the new datapoint against the alert configuration
@@ -168,7 +182,7 @@ def _combo_detect(
                     "minimum_required": min_len,
                 },
             )
-            raise Exception("Insufficient history data")
+            raise ClientError("Insufficient history data")
 
         logger.info(
             f"Detecting anomalies for time series with {len(ts_with_history.current)} datapoints and history of {len(ts_with_history.history)} datapoints"
@@ -194,8 +208,6 @@ def _combo_detect(
         return ts_external, streamed_anomalies
 
     def _update_anomalies(self, ts_external: List[TimeSeriesPoint], anomalies: TimeSeriesAnomalies):
-        if anomalies is None:
-            raise Exception("No anomalies available for the timeseries.")
         for i, point in enumerate(ts_external):
             point.anomaly = Anomaly(
                 anomaly_score=anomalies.scores[i],
@@ -227,7 +239,7 @@ def detect_anomalies(self, request: DetectAnomaliesRequest) -> DetectAnomaliesRe
         else:
             ts, anomalies = self._batch_detect(request.context, request.config)
         self._update_anomalies(ts, anomalies)
-        return DetectAnomaliesResponse(timeseries=ts)
+        return DetectAnomaliesResponse(success=True, timeseries=ts)
 
     @inject
     def store_data(
@@ -253,7 +265,7 @@ def store_data(
                     "minimum_required": min_len,
                 },
             )
-            raise Exception(f"Insufficient time series data for alert {request.alert.id}")
+            raise ClientError("Insufficient time series data for alert")
 
         logger.info(
             "store_alert_request",

src/seer/anomaly_detection/detectors/anomaly_detectors.py

@@ -18,6 +18,7 @@
     TimeSeriesAnomalies,
 )
 from seer.dependency_injection import inject, injected
+from seer.exceptions import ServerError
 
 logger = logging.getLogger(__name__)
 
@@ -85,7 +86,7 @@ def _compute_matrix_profile(
         logger.debug(f"window_size: {window_size}")
         if window_size <= 0:
             # TODO: Add sentry logging of this error
-            raise Exception("Invalid window size")
+            raise ServerError("Invalid window size")
         # Get the matrix profile for the time series
         mp = stumpy.stump(
             ts_values,

src/seer/anomaly_detection/detectors/mp_utils.py

@@ -5,6 +5,7 @@
 from seer.anomaly_detection.detectors.mp_config import MPConfig
 from seer.anomaly_detection.detectors.normalizers import Normalizer
 from seer.dependency_injection import inject, injected
+from seer.exceptions import ServerError
 
 
 class MPUtils(BaseModel):
@@ -38,12 +39,12 @@ def get_mp_dist_from_mp(
         mp_dist = mp[:, 0]
         if mp_config is not None and mp_config.normalize_mp:
             if normalizer is None:
-                raise Exception("Need normalizer to normalize MP")
+                raise ServerError("Need normalizer to normalize MP")
             mp_dist = normalizer.normalize(mp_dist)
 
         if pad_to_len is not None:
             if pad_to_len < len(mp_dist):
-                raise Exception(
+                raise ServerError(
                     "Requested length should be greater than or equal to current mp_dist"
                 )
             nan_value_count = np.empty(pad_to_len - len(mp_dist))

src/seer/anomaly_detection/models/external.py

@@ -72,7 +72,9 @@ class DetectAnomaliesRequest(BaseModel):
 
 
 class DetectAnomaliesResponse(BaseModel):
-    timeseries: List[TimeSeriesPoint]
+    success: bool
+    message: Optional[str] = Field(None)
+    timeseries: Optional[List[TimeSeriesPoint]] = Field(None)
 
 
 class StoreDataRequest(BaseModel):
@@ -85,3 +87,4 @@ class StoreDataRequest(BaseModel):
 
 class StoreDataResponse(BaseModel):
     success: bool
+    message: Optional[str] = Field(None)

src/seer/app.py

@@ -52,6 +52,7 @@
 from seer.bootup import bootup, module
 from seer.configuration import AppConfig
 from seer.dependency_injection import inject, injected, resolve
+from seer.exceptions import ClientError
 from seer.grouping.grouping import (
     BulkCreateGroupingRecordsResponse,
     CreateGroupingRecordsRequest,
@@ -252,15 +253,23 @@ def summarize_issue_endpoint(data: SummarizeIssueRequest) -> SummarizeIssueRespo
 def detect_anomalies_endpoint(data: DetectAnomaliesRequest) -> DetectAnomaliesResponse:
     sentry_sdk.set_tag("organization_id", data.organization_id)
     sentry_sdk.set_tag("project_id", data.project_id)
-    return anomaly_detection().detect_anomalies(data)
+    try:
+        response = anomaly_detection().detect_anomalies(data)
+    except ClientError as e:
+        response = DetectAnomaliesResponse(success=False, message=str(e))
+    return response
 
 
 @json_api(blueprint, "/v1/anomaly-detection/store")
 @sentry_sdk.trace
 def store_data_endpoint(data: StoreDataRequest) -> StoreDataResponse:
     sentry_sdk.set_tag("organization_id", data.organization_id)
     sentry_sdk.set_tag("project_id", data.project_id)
-    return anomaly_detection().store_data(data)
+    try:
+        response = anomaly_detection().store_data(data)
+    except ClientError as e:
+        response = StoreDataResponse(success=False, message=str(e))
+    return response
 
 
 @blueprint.route("/health/live", methods=["GET"])

src/seer/exceptions.py

@@ -0,0 +1,10 @@
+class ClientError(Exception):
+    def __init__(self, message):
+        # Call the base class constructor with the parameters it needs
+        super().__init__(message)
+
+
+class ServerError(Exception):
+    def __init__(self, message):
+        # Call the base class constructor with the parameters it needs
+        super().__init__(message)