feat: fix linting

Author: afieraru-mdsol

dataconnect/client.py

@@ -8,14 +8,13 @@
 from __future__ import annotations
 
 from types import TracebackType
-
-from dataconnect.models import Study
-from dataconnect.service import DataConnectService, DefaultDataConnectService
-
 from uuid import UUID
 
 import pandas as pd
 
+from dataconnect.models import Study
+from dataconnect.service import DataConnectService, DefaultDataConnectService
+
 _DEFAULT_HOST = "enodia-gateway.platform.imedidata.com"
 _DEFAULT_PORT = 443
 
@@ -49,7 +48,7 @@ def connect(
     def get_studies(self) -> list[Study]:
         """List the studies the client is authorized to access."""
         return self._service.get_studies()
-    
+
     def fetch_data(
         self,
         dataset_uuid: UUID,

dataconnect/service/base.py

@@ -5,9 +5,10 @@
 from abc import ABC, abstractmethod
 from uuid import UUID
 
+import pandas as pd
+
 from dataconnect.models import Study
 
-import pandas as pd
 
 class DataConnectService(ABC):
     """Abstract service interface — defines all operations available to the client."""

dataconnect/service/default.py

@@ -2,6 +2,10 @@
 
 from __future__ import annotations
 
+from uuid import UUID
+
+import pandas as pd
+
 from dataconnect.exceptions import (
     AuthenticationError,
     AuthorizationError,
@@ -26,9 +30,6 @@
     TransportStatusError,
 )
 from dataconnect.transport.models import ResourceQuery
-from uuid import UUID
-
-import pandas as pd
 
 # Server action identifiers
 _ACTION_LIST_STUDIES = "studies.list"
@@ -95,7 +96,7 @@ def fetch_data(self, dataset_uuid: UUID, first_n_rows: int | None = None) -> pd.
             resources = self._transport.list_resources(request)
         except TransportError as ex:
             raise _translate_error(ex) from ex
-        
+
         try:
             frames = [resource_to_fetched_data(r) for r in resources]
         except (IndexError, KeyError, TypeError, ValueError) as ex:
@@ -106,7 +107,6 @@ def fetch_data(self, dataset_uuid: UUID, first_n_rows: int | None = None) -> pd.
 
         return pd.concat(frames, ignore_index=True)
 
-
     def close(self) -> None:
 
         try:

dataconnect/service/mappers.py

@@ -8,11 +8,11 @@
 from __future__ import annotations
 
 import json
+from uuid import UUID
+
 import pandas as pd
 import pyarrow as pa
 
-from uuid import UUID
-
 from dataconnect.exceptions import NotFoundError
 from dataconnect.models import Study, StudyEnvironment
 from dataconnect.transport.models import ResourceInfo
@@ -32,6 +32,7 @@ def resource_to_study(resource: ResourceInfo) -> Study:
         environments=[StudyEnvironment(uuid=UUID(e["uuid"]), name=e["name"]) for e in data.get("environments", [])],
     )
 
+
 def resource_to_fetched_data(resource: ResourceInfo) -> pd.DataFrame:
     """Parse a transport-layer ``ResourceInfo`` into pandas DataFrame.