field validator for base64

models.py

···
+import base64
+
 from datetime import datetime
+import logging
 from typing import Any, Dict, Optional
 
-from pydantic import BaseModel, Field
+from pydantic import BaseModel, Field, field_validator
+
+logger = logging.getLogger(__name__)
 
 
 class RecordEvent(BaseModel):
···
     A model for record events that come from Tap, in Kafka mode
     """
 
-    live: bool
+    live: Optional[bool] = False
     did: str
     rev: str
     collection: str
     rkey: str
     action: str
-    record: Optional[Dict[str, Any]]
-    cid: Optional[str]
+    record: Optional[Dict[str, Any]] = None
+    cid: Optional[str] = None
 
 
 class IdentityEvent(BaseModel):
···
 
     id: int
     type: str
-    record: RecordEvent
-    identity: IdentityEvent
+    record: Optional[RecordEvent] = None
+    identity: Optional[IdentityEvent] = None
+
+    @field_validator("record", "identity", mode="before")
+    @classmethod
+    def decode_base64(cls, v: Any):
+        if v is not None and isinstance(v, str):
+            try:
+                return base64.b64decode(v).decode("utf-8")
+            except Exception as e:
+                logger.error(f"Error decoding event base64: {e}")
+                return v
+        return v
 
 
 # class AtKafkaOp(BaseModel):