#!/usr/bin/env python3
"""Tailor Parser - Swift Code Metrics Analysis"""

from dataclasses import dataclass
from enum import Enum
from pathlib import Path
from typing import Any


class MetricType(Enum):
    """Tailor metric types."""

    COMPLEXITY = "complexity"
    LENGTH = "length"
    NAMING = "naming"
    STYLE = "style"
    DESIGN = "design"


@dataclass
class TailorMetric:
    """Represents a metric or violation detected by Tailor."""

    metric_type: MetricType
    message: str
    severity: str
    file_path: str
    line_number: int
    column: int
    value: float | None = None


@dataclass
class TailorConfig:
    """Tailor configuration for analysis."""

    tailor_version: str = "0.29.0"
    config_file: Path | None = None
    excluded_dirs: list[str] | None = None
    max_complexity: int = 15
    max_length: int = 80


class TailorParser:
    """
    Parser for Tailor Swift code metrics analysis.

    Detects design issues, complexity metrics, and code style violations
    in Swift code using comprehensive static analysis.
    """

    def __init__(self):
        """Initialize Tailor parser."""
        self.config = TailorConfig()
        self.metrics: list[TailorMetric] = []

    def parse_json_report(self, report_path: Path) -> list[TailorMetric]:
        raise NotImplementedError("Phase 2: JSON report parsing")

    def execute_tailor(self, paths: list[Path], config: TailorConfig | None = None) -> list[TailorMetric]:
        raise NotImplementedError("Phase 2: Tailor execution")

    def load_config(self, config_file: Path) -> TailorConfig:
        raise NotImplementedError("Phase 2: Config loading")

    def categorize_metrics(self, metrics: list[TailorMetric]) -> dict[str, list[TailorMetric]]:
        raise NotImplementedError("Phase 2: Metric categorization")

    def detect_complexity_issues(self, metrics: list[TailorMetric]) -> list[TailorMetric]:
        raise NotImplementedError("Phase 2: Complexity detection")

    def calculate_code_metrics(self, metrics: list[TailorMetric]) -> dict[str, Any]:
        raise NotImplementedError("Phase 2: Metrics calculation")

    def generate_report(self, metrics: list[TailorMetric], format: str = "json") -> str:
        raise NotImplementedError("Phase 2: Report generation")

    def analyze_metric_trends(self, historical_data: list[dict]) -> dict[str, Any]:
        raise NotImplementedError("Phase 2: Trend analysis")
