Update examples and feature flags

examples/classify_order.py

@@ -14,7 +14,7 @@ def new_classify_order(rapi: RapidataClient):
         .workflow(
             ClassifyWorkflow(
                 question="What is shown in the image?",
-                options=["Fish", "Cat", "Wallabe", "Airplane"],
+                options=["Fish", "Cat", "Wallaby", "Airplane"],
             )
         )
         .media(["examples/data/wallaby.jpg"])

rapidata/rapidata_client/feature_flags/feature_flags.py

@@ -7,16 +7,19 @@ def __init__(self):
 
     def to_list(self) -> list[FeatureFlagModel]:
         return [FeatureFlagModel(key=name, value=value) for name, value in self._flags.items()]
-    
+
     def alert_on_fast_response(self, value: int):
-        self._flags["alertOnFastResponse"] = str(value)
+        self._flags["aler_on_fast_response"] = str(value)
         return self
-    
-    def disable_translation(self, value: bool):
-        self._flags["disableTranslation"] = str(value)
+
+    def disable_translation(self, value: bool = True):
+        self._flags["disable_translation"] = str(value)
         return self
-    
+
     def free_text_minimum_characters(self, value: int):
-        self._flags["freeTextMinimumCharacters"] = str(value)
+        self._flags["free_text_minimum_characters"] = str(value)
+        return self
+
+    def no_shuffle(self, value: bool = True):
+        self._flags["no_shuffle"] = str(value)
         return self
-

rapidata/rapidata_client/order/dataset/validation_set_builder.py

@@ -128,6 +128,9 @@ def add_compare_rapid(self, media_paths: list[str], question: str, truth: str):
         for media_path in media_paths:
             if not os.path.exists(media_path):
                 raise FileNotFoundError(f"File not found: {media_path}")
+
+        # take only last part of truth path
+        truth = os.path.basename(truth)
 
         self._rapid_parts.append(
             ValidatioRapidParts(

rapidata/rapidata_client/referee/classify_early_stopping_referee.py

@@ -1,4 +1,6 @@
+from typing import Any
 from rapidata.rapidata_client.referee.base_referee import Referee
+from rapidata.api_client.models.probabilistic_attach_category_referee_config import ProbabilisticAttachCategoryRefereeConfig
 
 
 class ClassifyEarlyStoppingReferee(Referee):
@@ -18,3 +20,10 @@ def to_dict(self):
             "threshold": self.threshold,
             "maxVotes": self.max_vote_count,
         }
+
+    def to_model(self) -> Any:
+        return ProbabilisticAttachCategoryRefereeConfig(
+            _t="ProbabilisticAttachCategoryRefereeConfig",
+            threshold=self.threshold,
+            maxVotes=self.max_vote_count,
+        )