#!/usr/bin/env python3
"""Schema Detector Plugin"""
import pandas as pd
from typing import Dict, Any

class SchemaDetector:
    """Detects and reports data schema."""
    def get_schema(self, df: pd.DataFrame) -> Dict[str, Any]:
        schema = {}
        for col in df.columns:
            dtype = str(df[col].dtype)
            if pd.api.types.is_numeric_dtype(df[col]):
                base_type = "Numeric"
            elif pd.api.types.is_datetime64_any_dtype(df[col]):
                base_type = "Datetime"
            elif df[col].nunique() < min(10, len(df) / 5):
                base_type = "Categorical"
            else:
                base_type = "Text/Object"
            schema[col] = {
                "inferred_type": base_type,
                "pandas_dtype": dtype,
                "non_null_count": int(df[col].count()),
                "unique_values": int(df[col].nunique())
            }
        return schema