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feat: implemented date standardization in transform #35

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Merged
merged 1 commit into from
Nov 4, 2025
Merged

feat: implemented date standardization in transform #35

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11 changes: 9 additions & 2 deletions app/etl/transform.py
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Original file line number Diff line number Diff line change
Expand Up @@ -45,8 +45,15 @@ def transform(df: pd.DataFrame) -> pd.DataFrame:
if any(keyword in col.lower() for keyword in ['date', 'time', 'created', 'updated'])]

for col in date_columns:
# TODO (Find & Fix): Date columns are not standardized
pass
try:
df_transformed[col] = pd.to_datetime(df_transformed[col], errors='coerce', infer_datetime_format=True)
# Standardize all dates to 'YYYY-MM-DD HH:MM:SS'
df_transformed[col] = df_transformed[col].dt.strftime('%Y-%m-%d %H:%M:%S')

print(f"✅ Standardized date column '{col}' (e.g., {df_transformed[col].iloc[0]})")
except Exception as e:
print(f"⚠️ Could not standardize column '{col}': {e}")


# TODO (Find & Fix): Text columns are not cleaned (strip, lowercase)
return df_transformed
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