in src/dfcx_scrapi/tools/evaluations.py [0:0]
def validate_and_prep_inputs(self, df: pd.DataFrame) -> pd.DataFrame:
"""Perform validations and transforms on input dataframe for evals."""
# Check for action_id column, if none exists
# add and assume all single turn queries
if "action_id" not in df.columns.to_list():
df["action_id"] = 1
df["action_id"] = df["action_id"].astype(int)
self.validate_input_columns(df)
self.convert_column_types(df)
df = self.pair_utterances(df)
df = self.pair_tool_calls(df)
df = self.pair_playbook_calls(df)
df = self.pair_flow_calls(df)
# fill remaining NA with empty string
for col in df.columns:
if df[col].dtype in ["object", "string"]:
df[col] = df[col].fillna("")
return df