"""Language detector validator to identify content language."""

from typing import Any, Optional

from curriculum_curator.validation.validators.base import BaseValidator


class LanguageDetector(BaseValidator):
    """Validator that detects the language of content.

    Identifies if content is in an expected language or mixed languages.

    Config options:
        expected_language: Expected language code (e.g., 'en', 'es', 'fr')
        allow_multilingual: Whether to allow mixed languages
        confidence_threshold: Minimum confidence for language detection
    """

    def __init__(self, config: Any):
        """Initialize the language detector.

        Args:
            config: Configuration for the validator
        """
        super().__init__(config)
        self.expected_language = getattr(config, "expected_language", "en")
        self.allow_multilingual = getattr(config, "allow_multilingual", False)
        self.confidence_threshold = getattr(config, "confidence_threshold", 0.8)

    async def validate(
        self, _content: str, _context: Optional[dict[str, Any]] = None
    ) -> dict[str, Any]:
        """Validate the language of the content.

        Args:
            _content: The content to validate
            _context: Optional context with additional information

        Returns:
            dict: Validation result with language information
        """
        # TODO: Implement language detection
        # This would use a library like langdetect, fastText, or spaCy

        # Placeholder implementation
        detected_language = "en"  # Assume English
        confidence = 1.0

        # Check if language matches expected
        valid = detected_language == self.expected_language

        if valid:
            return {"valid": True, "detected_language": detected_language, "confidence": confidence}
        else:
            return {
                "valid": False,
                "reason": f"Content language ({detected_language}) does not match expected language ({self.expected_language})",
                "detected_language": detected_language,
                "expected_language": self.expected_language,
                "confidence": confidence,
            }

    def get_remediation_hints(self, validation_result: dict[str, Any]) -> dict[str, Any]:
        """Get hints for remediation if language validation fails.

        Args:
            validation_result: The validation result

        Returns:
            dict: Remediation hints
        """
        if validation_result.get("valid", True):
            return {"can_remediate": False, "hints": []}

        detected = validation_result.get("detected_language", "unknown")
        expected = validation_result.get("expected_language", self.expected_language)

        return {
            "can_remediate": True,
            "hints": [
                f"Translate content from {detected} to {expected}",
                "Use the Translator remediator to automatically translate",
            ],
            "recommended_remediators": ["translator"],
        }
