Remove pydantic and numpy deprecated features

SNEWS2 · Aug 16, 2024 · d5264ff · d5264ff
1 parent 23cdcd1
commit d5264ff
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Showing 2 changed files with 17 additions and 24 deletions.
diff --git a/snews/models/messages.py b/snews/models/messages.py
@@ -8,8 +8,8 @@
 
 # Third-party modules
 import numpy as np
-from pydantic import (BaseModel, Field, NonNegativeFloat, ValidationError,
-                      field_validator, model_validator)
+from pydantic import (BaseModel, ConfigDict, Field, NonNegativeFloat,
+                      ValidationError, field_validator, model_validator)
 
 # Local modules
 from ..__version__ import schema_version
@@ -61,8 +61,7 @@ class MessageBase(BaseModel):
     Base class for all messages.
     """
 
-    class Config:
-        validate_assignment = True
+    model_config = ConfigDict(validate_assignment=True)
 
     id: Optional[str] = Field(
         default=None,
@@ -174,8 +173,7 @@ class DetectorMessageBase(MessageBase):
     Base class for all messages related to a specific detector.
     """
 
-    class Config:
-        validate_assignment = True
+    model_config = ConfigDict(validate_assignment=True)
 
     detector_name: str = Field(
         ...,
@@ -200,8 +198,7 @@ class HeartbeatMessage(DetectorMessageBase):
     Heartbeat detector message.
     """
 
-    class Config:
-        validate_assignment = True
+    model_config = ConfigDict(validate_assignment=True)
 
     detector_status: str = Field(
         ...,
@@ -233,8 +230,7 @@ class RetractionMessage(DetectorMessageBase):
     Retraction detector message.
     """
 
-    class Config:
-        validate_assignment = True
+    model_config = ConfigDict(validate_assignment=True)
 
     retract_message_uid: Optional[str] = Field(
         default=None,
@@ -275,8 +271,7 @@ class TierMessageBase(DetectorMessageBase):
     Tier base message
     """
 
-    class Config:
-        validate_assignment = True
+    model_config = ConfigDict(validate_assignment=True)
 
     p_val: Optional[NonNegativeFloat] = Field(
         default=None,
@@ -297,8 +292,7 @@ class TimingTierMessage(TierMessageBase):
     Timing tier detector message.
     """
 
-    class Config:
-        validate_assignment = True
+    model_config = ConfigDict(validate_assignment=True)
 
     timing_series: List[Union[str, int]] = Field(
         ...,
@@ -331,8 +325,7 @@ class SignificanceTierMessage(TierMessageBase):
     Significance tier detector message.
     """
 
-    class Config:
-        validate_assignment = True
+    model_config = ConfigDict(validate_assignment=True)
 
     p_values: List[NonNegativeFloat] = Field(
         ...,
@@ -373,8 +366,7 @@ class CoincidenceTierMessage(TierMessageBase):
     Coincidence tier detector message.
     """
 
-    class Config:
-        validate_assignment = True
+    model_config = ConfigDict(validate_assignment=True)
 
     neutrino_time_utc: str = Field(
         ...,

diff --git a/snews/models/timing.py b/snews/models/timing.py
@@ -9,7 +9,7 @@
 
 # Third party imports
 import numpy as np
-from pydantic import BaseModel, Field, field_validator
+from pydantic import BaseModel, ConfigDict, Field, field_validator
 
 # Local imports
 from ..data.utilities import num_leap_seconds_between
@@ -30,8 +30,7 @@ class PrecisionTimestamp(BaseModel, arbitrary_types_allowed=True):
             Supported values: "s", "ms", "us", "ns".
     """
 
-    class Config:
-        validate_assignment = True
+    model_config = ConfigDict(validate_assignment=True)
 
     timestamp: Optional[Union[np.datetime64, datetime, str]] = Field(
         default_factory=lambda: datetime.now(UTC),
@@ -61,12 +60,14 @@ def to_datetime(self):
 
     @field_validator("timestamp")
     def _validate_and_cast_timestamp(cls, v):
+        if isinstance(v, datetime) and v.tzinfo is not None:
+            v = v.replace(tzinfo=None)
+
         if not isinstance(v, np.datetime64):
+            print(v)
             v = np.datetime64(v)
-            return v
 
-        if isinstance(v, np.datetime64):
-            return v
+        return v
 
     def __sub__(self, other) -> np.timedelta64:
         if isinstance(other, PrecisionTimestamp):