Feature/labimp 7575 bulk assign files wadhwani via sdk

.gitignore

@@ -25,9 +25,7 @@ wheels/
 .env
 .DS_Store
 .claude
-
-# Test data
 tests/test_data
 download
 labellerr/__pycache__/
-env.dev
+env.dev

README.md

@@ -420,10 +420,10 @@ The Labellerr SDK uses **class-level decorators** to automatically apply logging
 
 ### Benefits
 
-✓ **No Boilerplate**: You don't need to add logging or error handling code in every method
-✓ **Consistency**: All methods follow the same logging pattern
-✓ **Maintainability**: Changes to logging or error handling are centralized
-✓ **Debugging**: Comprehensive logs help troubleshoot issues quickly
+**No Boilerplate**: You don't need to add logging or error handling code in every method
+**Consistency**: All methods follow the same logging pattern
+**Maintainability**: Changes to logging or error handling are centralized
+**Debugging**: Comprehensive logs help troubleshoot issues quickly
 
 ### How It Works
 

driver.py

@@ -1,10 +1,9 @@
-from labellerr.client import LabellerrClient
-from labellerr.core.datasets import LabellerrDataset
+import os
 
-# from labellerr.core.autolabel import LabellerrAutoLabel
-# from labellerr.core.autolabel.typings import TrainingRequest
 from dotenv import load_dotenv
-import os
+
+from labellerr.client import LabellerrClient
+from labellerr.core.datasets import LabellerrDataset
 
 load_dotenv()
 

labellerr/core/autolabel/base.py

@@ -1,16 +1,20 @@
+import uuid
 from abc import ABCMeta
-from ..client import LabellerrClient
+from typing import TYPE_CHECKING
+
+from .. import client_utils, constants
 from .typings import TrainingRequest
-from .. import constants, client_utils
-import uuid
+
+if TYPE_CHECKING:
+    from ..client import LabellerrClient
 
 
 class LabellerrAutoLabelMeta(ABCMeta):
     pass
 
 
 class LabellerrAutoLabel(metaclass=LabellerrAutoLabelMeta):
-    def __init__(self, client: LabellerrClient):
+    def __init__(self, client: "LabellerrClient"):
         self.client = client
 
     def train(self, training_request: TrainingRequest):

labellerr/core/autolabel/typings.py

@@ -1,5 +1,6 @@
+from typing import List, Optional
+
 from pydantic import BaseModel
-from typing import Optional
 
 
 class Hyperparameters(BaseModel):
@@ -8,7 +9,7 @@ class Hyperparameters(BaseModel):
 
 class TrainingRequest(BaseModel):
     model_id: str
-    projects: Optional[list[str]] = None
+    projects: Optional[List[str]] = None
     hyperparameters: Optional[Hyperparameters] = Hyperparameters()
     slice_id: Optional[str] = None
     min_samples_per_class: Optional[int] = 100