fix: GenAI SDK client(evals) - Handle optional pandas dependency in type hints

PiperOrigin-RevId: 782072742

Author: jsondai

vertexai/_genai/types.py

@@ -62,12 +62,16 @@ def __getattr__(name: str) -> typing.Any:
 
 if typing.TYPE_CHECKING:
  import pandas as pd
+
+ PandasDataFrame = pd.DataFrame
 else:
- pd: typing.Type = Any
  try:
  import pandas as pd
+
+ PandasDataFrame = pd.DataFrame
  except ImportError:
  pd = None
+ PandasDataFrame = Any
 if typing.TYPE_CHECKING:
  import yaml
 else:
@@ -6366,7 +6370,7 @@ class EvaluationDataset(_common.BaseModel):
  eval_cases: Optional[list[EvalCase]] = Field(
  default=None, description="""The evaluation cases to be evaluated."""
  )
- eval_dataset_df: Optional["pd.DataFrame"] = Field(
+ eval_dataset_df: Optional[PandasDataFrame] = Field(
  default=None,
  description="""The evaluation dataset in the form of a Pandas DataFrame.""",
  )
@@ -6408,7 +6412,7 @@ class EvaluationDatasetDict(TypedDict, total=False):
  eval_cases: Optional[list[EvalCaseDict]]
  """The evaluation cases to be evaluated."""
 
- eval_dataset_df: Optional["pd.DataFrame"]
+ eval_dataset_df: Optional[PandasDataFrame]
  """The evaluation dataset in the form of a Pandas DataFrame."""
 
  candidate_name: Optional[str]