#!/usr/bin/env python3


"""
Vulture Parser - Dead Code Detection.
======================================

Vulture finds unused and unreachable code in Python programs. This is useful
for cleaning up codebases and identifying dead branches. This module provides
structured parsing of Vulture output.

Implementation Status: NOT IMPLEMENTED
Priority: P2 - HIGH
"""

from __future__ import annotations

from dataclasses import dataclass, field
from pathlib import Path


@dataclass
class SourceLocation:
    """Location in source code."""

    line: int
    column: int = 0
    end_line: int | None = None
    end_column: int | None = None


@dataclass
class UnusedItem:
    """Represents an unused code item."""

    name: str
    item_type: str  # "import", "function", "class", "variable", "attribute", "argument"
    location: SourceLocation
    confidence: int  # 0-100
    message: str = ""


@dataclass
class VultureConfig:
    """Configuration for Vulture parser."""

    min_confidence: int = 80  # Only report items with confidence >= this
    exclude_patterns: list[str] = field(default_factory=list)
    check_unreachable_code: bool = True
    check_unused_arguments: bool = True

    @classmethod
    def from_pyproject(cls, pyproject_path: str | Path) -> VultureConfig:
        """Load configuration from pyproject.toml."""
        return cls()

    @classmethod
    def from_file(cls, config_path: str | Path) -> VultureConfig:
        """Load configuration from setup.cfg or .vulture.ini."""
        return cls()


@dataclass
class VultureReport:
    """Results from Vulture analysis."""

    file_path: str
    unused_imports: list[UnusedItem] = field(default_factory=list)
    unused_functions: list[UnusedItem] = field(default_factory=list)
    unused_classes: list[UnusedItem] = field(default_factory=list)
    unused_variables: list[UnusedItem] = field(default_factory=list)
    unused_attributes: list[UnusedItem] = field(default_factory=list)
    unused_arguments: list[UnusedItem] = field(default_factory=list)
    unreachable_code: list[UnusedItem] = field(default_factory=list)
    error: str | None = None

    @property
    def total_unused(self) -> int:
        """Total count of unused items."""
        return (
            len(self.unused_imports)
            + len(self.unused_functions)
            + len(self.unused_classes)
            + len(self.unused_variables)
            + len(self.unused_attributes)
            + len(self.unused_arguments)
            + len(self.unreachable_code)
        )


class VultureParser:

    def __init__(self, config: VultureConfig | None = None):
        """
        Initialize Vulture parser.

        Args:
            config: VultureConfig instance or None to use defaults
        """
        self.config = config or VultureConfig()

    def analyze_file(self, file_path: str | Path) -> VultureReport:
        """
        Find unused code in a Python file.

        Args:
            file_path: Path to Python file

        Returns:
            VultureReport with dead code findings

        """
        raise NotImplementedError("VultureParser.analyze_file() not yet implemented")

    def analyze_code(self, code: str, filename: str = "<string>") -> VultureReport:
        """
        Find unused code in Python code string.

        Args:
            code: Python source code
            filename: Filename for error reporting

        Returns:
            VultureReport with dead code findings

        """
        raise NotImplementedError("VultureParser.analyze_code() not yet implemented")

    def load_config(self, config_path: str | Path) -> None:
        """
        Load configuration from Vulture config file.

        Args:
            config_path: Path to setup.cfg or .vulture.ini

        """
        raise NotImplementedError("VultureParser.load_config() not yet implemented")

    def filter_by_confidence(
        self,
        report: VultureReport,
        min_confidence: int | None = None,
    ) -> VultureReport:
        """
        Filter report to only include items with sufficient confidence.

        Args:
            report: VultureReport to filter
            min_confidence: Minimum confidence (0-100) or use config default

        Returns:
            Filtered VultureReport

        """
        raise NotImplementedError("VultureParser.filter_by_confidence() not yet implemented")
