"""Main Sentri data quality framework orchestration."""

from typing import Any, Dict, Optional, Union
import pandas as pd
from pathlib import Path

from data_quality.utils.logger import get_logger


class DataQualityFramework:
    """
    Main orchestration class for the Sentri data quality framework.

    This class coordinates data retrieval, check execution, and output generation.
    """

    def __init__(
        self,
        config_path: Optional[Union[str, Path]] = None,
        config_dict: Optional[Dict[str, Any]] = None,
        df: Optional[pd.DataFrame] = None,
        metadata: Optional[Dict[str, Any]] = None,
    ):
        """
        Initialize the Sentri data quality framework.

        Args:
            config_path: Path to YAML configuration file
            config_dict: Configuration as dictionary (alternative to file)
            df: Optional DataFrame to use instead of fetching from source
            metadata: Optional metadata when using DataFrame directly
        """
        self.config_path = config_path
        self.config_dict = config_dict
        self.df = df
        self.metadata = metadata or {}
        self.logger = get_logger("framework")
        self.results = None

        # Will be initialized in later phases
        self.config = None
        self.data_source_manager = None
        self.check_manager = None
        self.output_manager = None

    def run_checks(
        self,
        start_date: str,
        end_date: str,
        **kwargs
    ) -> "DQResults":
        """
        Run all configured data quality checks.

        Args:
            start_date: Start date in ISO format (YYYY-MM-DD)
            end_date: End date in ISO format (YYYY-MM-DD)
            **kwargs: Additional parameters

        Returns:
            DQResults object containing check results
        """
        # Stub implementation - will be completed in later phases
        raise NotImplementedError("Will be implemented in Phase 4")

    def run_check(
        self,
        check_type: str,
        check_config: Dict[str, Any]
    ) -> pd.DataFrame:
        """
        Run a single check type programmatically.

        Args:
            check_type: Type of check to run
            check_config: Configuration for the check

        Returns:
            DataFrame with check results
        """
        # Stub implementation
        raise NotImplementedError("Will be implemented in Phase 4")


class DQResults:
    """Container for data quality check results."""

    def __init__(self, results_df: pd.DataFrame, metadata: Dict[str, Any]):
        """
        Initialize DQResults.

        Args:
            results_df: DataFrame containing check results
            metadata: Metadata about the DQ run
        """
        self.results_df = results_df
        self.metadata = metadata

    def to_json(self, path: Optional[str] = None) -> str:
        """Export results to JSON."""
        raise NotImplementedError("Will be implemented in Phase 8")

    def to_html(self, path: Optional[str] = None) -> str:
        """Export results to HTML."""
        raise NotImplementedError("Will be implemented in Phase 8")

    def to_csv(self, path: Optional[str] = None) -> str:
        """Export results to CSV."""
        raise NotImplementedError("Will be implemented in Phase 8")

    def to_dataframe(self) -> pd.DataFrame:
        """Return results as DataFrame."""
        return self.results_df

    def get_summary(self) -> Dict[str, Any]:
        """Get summary statistics."""
        raise NotImplementedError("Will be implemented in Phase 8")

    def get_exit_code(self) -> int:
        """Get exit code based on results."""
        raise NotImplementedError("Will be implemented in Phase 8")
