"""Silver layer implementation for curated and standardized data.

This module contains the SilverLayer class which will be fully implemented in MR2.
The Silver layer is responsible for data standardization, enrichment, and quality
validation.
"""

from __future__ import annotations

import warnings
from datetime import datetime
from pathlib import Path
from typing import Any

from importobot.medallion.base_layers import BaseMedallionLayer
from importobot.medallion.interfaces.data_models import (
    DataLineage,
    DataQualityMetrics,
    LayerMetadata,
    ProcessingResult,
)
from importobot.medallion.interfaces.enums import ProcessingStatus
from importobot.medallion.interfaces.records import BronzeRecord, RecordMetadata
from importobot.medallion.placeholder_base import PlaceholderMixin
from importobot.utils.validation_models import (
    QualitySeverity,
    ValidationResult,
)


class SilverLayer(BaseMedallionLayer, PlaceholderMixin):
    """Silver layer for curated and standardized data.

    The Silver layer implements data standardization, enrichment, and quality
    validation.
    This is a placeholder implementation that will be completed in MR2.

    Future implementation will include:

    - TestCaseNormalizer for cross-format standardization
    - MetadataEnricher for business rule application and traceability
    - QualityValidator with completeness, consistency, and referential integrity checks
    - Change tracking between Bronze and Silver transformations
    - Incremental processing capabilities for changed data only
    - Rollback mechanisms for data quality issues
    """

    def __init__(self, storage_path: Path | None = None) -> None:
        """Initialize the Silver layer."""
        super().__init__("silver", storage_path)
        warnings.warn(
            "SilverLayer is currently a placeholder implementation; "
            "APIs may change without notice.",
            UserWarning,
            stacklevel=2,
        )

    def ingest(self, data: Any, metadata: LayerMetadata) -> ProcessingResult:
        """Ingest and standardize data into the Silver layer.

        This is a placeholder implementation that will be completed in MR2.
        Future implementation will include data standardization, enrichment,
        and comprehensive quality validation.

        Args:
            data: Raw data from Bronze layer
            metadata: Layer metadata for tracking

        Returns:
            ProcessingResult indicating pending implementation
        """
        # Placeholder implementation - will be completed in MR2
        # pylint: disable=duplicate-code
        start_time = datetime.now()

        return ProcessingResult(
            status=ProcessingStatus.PENDING,
            processed_count=0,
            success_count=0,
            error_count=0,
            warning_count=0,
            skipped_count=1,
            processing_time_ms=0.0,
            start_timestamp=start_time,
            metadata=metadata,
            quality_metrics=DataQualityMetrics(),
            errors=["Silver layer implementation pending MR2"],
        )

    def validate(self, data: Any) -> ValidationResult:
        """Validate data for Silver layer processing.

        This is a placeholder implementation that will be completed in MR2.
        Future implementation will include comprehensive data quality validation
        with completeness, consistency, and referential integrity checks.

        Args:
            data: Data to validate

        Returns:
            ValidationResult indicating pending implementation
        """
        # pylint: disable=duplicate-code
        return ValidationResult(
            is_valid=False,
            severity=QualitySeverity.INFO,
            error_count=0,
            warning_count=1,
            issues=["Silver layer validation pending MR2"],
        )

    def ingest_with_detection(
        self, data: dict[str, Any], source_info: dict[str, Any]
    ) -> BronzeRecord:
        """Process data with format detection (to be implemented in MR2)."""
        raise self._not_implemented_error("ingest_with_detection", "MR2")

    def get_record_metadata(self, record_id: str) -> RecordMetadata | None:
        """Retrieve record metadata (to be implemented in MR2)."""
        return self._placeholder_record_metadata(record_id)

    def get_record_lineage(self, record_id: str) -> DataLineage | None:
        """Retrieve record lineage information (to be implemented in MR2)."""
        return self._placeholder_record_lineage(record_id)

    def validate_bronze_data(self, data: dict[str, Any]) -> dict[str, Any]:
        """Validate bronze data for silver processing (to be implemented in MR2)."""
        return self._placeholder_validate_bronze_data(data, "Silver", "MR2")

    def get_bronze_records(
        self,
        filter_criteria: dict[str, Any] | None = None,
        limit: int | None = None,
    ) -> list[BronzeRecord]:
        """Retrieve bronze records for silver processing (to be implemented in MR2)."""
        return self._placeholder_get_bronze_records(filter_criteria, limit)


__all__ = ["SilverLayer"]
