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"""Feature extractor for PatchJudge.

Extracts structured features from code patches using:
- Unified diff parsing
- AST analysis (Python)
- Keyword/entity extraction for issue-patch alignment
- Code quality signal detection
"""

import ast
import re
import textwrap
from collections import Counter
from typing import Optional

from patchjudge.models import PatchExample, PatchFeatures


class FeatureExtractor:
    """Extracts structured features from a patch for LLM evaluation."""
    
    # Core/infrastructure files that are risky to modify
    CORE_FILE_PATTERNS = [
        r'__init__\.py$',
        r'settings\.py$',
        r'conf\.py$',
        r'config\.py$',
        r'setup\.py$',
        r'setup\.cfg$',
        r'manage\.py$',
        r'urls\.py$',
        r'wsgi\.py$',
        r'asgi\.py$',
        r'migrations/',
        r'base\.py$',
    ]
    
    # Patterns that indicate hardcoded values
    HARDCODE_PATTERNS = [
        r'return\s+["\'].*["\']',  # return "hardcoded string"
        r'return\s+\d+\b',        # return 42
        r'==\s*["\'][^"\']{20,}',  # comparing with long hardcoded string
        r'if\s+.*==\s*\d{3,}',    # comparing with specific large numbers
    ]
    
    # Debug statement patterns
    DEBUG_PATTERNS = [
        r'\bprint\s*\(',
        r'\bpdb\b',
        r'\bbreakpoint\s*\(',
        r'\bIPython\b',
        r'\bipdb\b',
        r'\bconsole\.log\b',
        r'\bdebugger\b',
    ]
    
    # TODO/FIXME patterns
    TODO_PATTERNS = [
        r'\bTODO\b',
        r'\bFIXME\b',
        r'\bHACK\b',
        r'\bXXX\b',
        r'\bTEMP\b',
        r'\bWORKAROUND\b',
    ]
    
    def extract(self, example: PatchExample) -> PatchFeatures:
        """Extract all features from a PatchExample."""
        patch = example.agent_patch
        features = PatchFeatures()
        
        # --- Diff statistics ---
        added_lines, removed_lines = self._parse_diff_lines(patch)
        features.num_files_changed = self._count_files_changed(patch)
        features.num_lines_added = len(added_lines)
        features.num_lines_removed = len(removed_lines)
        features.num_hunks = self._count_hunks(patch)
        
        # --- Code structure (AST-based for Python) ---
        if self._is_python_patch(patch):
            features.added_functions = self._extract_added_functions(added_lines)
            features.modified_functions = self._extract_modified_functions(
                patch, example.repo_context
            )
            features.has_error_handling = self._check_error_handling(added_lines)
            features.has_edge_case_handling = self._check_edge_cases(added_lines)
            features.cyclomatic_complexity_delta = self._estimate_complexity_delta(
                added_lines, removed_lines
            )
            features.nesting_depth_max = self._estimate_max_nesting(added_lines)
        
        # --- Issue-patch alignment ---
        issue_keywords = self._extract_issue_keywords(example.problem_statement)
        patch_text = '\n'.join(added_lines + removed_lines)
        addressed = self._match_keywords(issue_keywords, patch_text)
        features.issue_keywords_addressed = addressed
        features.issue_components_mentioned = self._extract_components(
            example.problem_statement
        )
        if issue_keywords:
            features.keyword_coverage_ratio = len(addressed) / len(issue_keywords)
        
        # --- Code quality signals ---
        added_text = '\n'.join(added_lines)
        features.has_todos = self._check_patterns(added_text, self.TODO_PATTERNS)
        features.has_hardcoded_values = self._check_patterns(added_text, self.HARDCODE_PATTERNS)
        features.has_debug_statements = self._check_patterns(added_text, self.DEBUG_PATTERNS)
        features.style_violations = self._check_style_basic(added_lines)
        features.follows_project_style = len(features.style_violations) == 0
        
        # --- Risk signals ---
        changed_files = self._get_changed_files(patch)
        features.modifies_core_files = self._check_core_files(changed_files)
        features.change_scope = self._assess_scope(
            features.num_files_changed, 
            features.num_lines_added + features.num_lines_removed
        )
        new_imports = self._extract_new_imports(added_lines)
        features.has_imports_added = len(new_imports) > 0
        features.new_imports = new_imports
        features.touches_tests = any(
            'test' in f.lower() for f in changed_files
        )
        
        return features
    
    # =========================================================================
    # Diff parsing
    # =========================================================================
    
    def _parse_diff_lines(self, diff: str) -> tuple[list[str], list[str]]:
        """Parse unified diff into added and removed lines (without +/- prefix)."""
        added = []
        removed = []
        for line in diff.split('\n'):
            if line.startswith('+') and not line.startswith('+++'):
                added.append(line[1:])
            elif line.startswith('-') and not line.startswith('---'):
                removed.append(line[1:])
        return added, removed
    
    def _count_files_changed(self, diff: str) -> int:
        """Count number of files changed in the diff."""
        return len(set(
            m.group(1)
            for m in re.finditer(r'^diff --git a/.+ b/(.+)$', diff, re.MULTILINE)
        ))
    
    def _count_hunks(self, diff: str) -> int:
        """Count number of hunks (@@ markers) in the diff."""
        return len(re.findall(r'^@@\s', diff, re.MULTILINE))
    
    def _get_changed_files(self, diff: str) -> list[str]:
        """Get list of changed file paths."""
        return list(set(
            m.group(1)
            for m in re.finditer(r'^diff --git a/.+ b/(.+)$', diff, re.MULTILINE)
        ))
    
    def _is_python_patch(self, diff: str) -> bool:
        """Check if the patch modifies Python files."""
        files = self._get_changed_files(diff)
        return any(f.endswith('.py') for f in files)
    
    # =========================================================================
    # Code structure analysis
    # =========================================================================
    
    def _extract_added_functions(self, added_lines: list[str]) -> list[str]:
        """Find function/method definitions in added lines."""
        functions = []
        for line in added_lines:
            match = re.match(r'\s*def\s+(\w+)\s*\(', line)
            if match:
                functions.append(match.group(1))
            # Also check for class definitions
            match = re.match(r'\s*class\s+(\w+)', line)
            if match:
                functions.append(f"class:{match.group(1)}")
        return functions
    
    def _extract_modified_functions(
        self, diff: str, repo_context: dict
    ) -> list[str]:
        """Find functions that were modified (existed before, changed now)."""
        modified = []
        # Parse hunk headers to find function context
        for match in re.finditer(
            r'^@@\s+.*\s+@@\s*(.*)$', diff, re.MULTILINE
        ):
            context = match.group(1).strip()
            # Hunk headers often contain the function name
            func_match = re.match(r'def\s+(\w+)', context)
            if func_match:
                modified.append(func_match.group(1))
            class_match = re.match(r'class\s+(\w+)', context)
            if class_match:
                modified.append(f"class:{class_match.group(1)}")
        return list(set(modified))
    
    def _check_error_handling(self, added_lines: list[str]) -> bool:
        """Check if added code includes error/exception handling."""
        text = '\n'.join(added_lines)
        patterns = [
            r'\btry\s*:',
            r'\bexcept\b',
            r'\braise\b',
            r'\bValueError\b',
            r'\bTypeError\b',
            r'\bKeyError\b',
            r'\bAssertionError\b',
            r'\bRuntimeError\b',
            r'\bif\s+.*\bis\s+None\b',
            r'\bif\s+not\b',
        ]
        return any(re.search(p, text) for p in patterns)
    
    def _check_edge_cases(self, added_lines: list[str]) -> bool:
        """Check if the patch handles edge cases."""
        text = '\n'.join(added_lines)
        patterns = [
            r'\bif\s+len\(',           # Length checks
            r'\bif\s+not\s+\w+\s*:',   # Empty checks
            r'\bif\s+\w+\s+is\s+None', # None checks
            r'\bif\s+.*<=?\s*0',        # Zero/negative checks
            r'\bif\s+isinstance\(',     # Type checks
            r'\bif\s+hasattr\(',        # Attribute checks
            r'\bor\s+\[\]',             # Default empty list
            r'\bor\s+\{\}',             # Default empty dict
            r'\bor\s+""',              # Default empty string
            r'\.get\(',                 # Dict .get() with default
        ]
        return sum(1 for p in patterns if re.search(p, text)) >= 2
    
    def _estimate_complexity_delta(
        self, added_lines: list[str], removed_lines: list[str]
    ) -> int:
        """Estimate change in cyclomatic complexity."""
        complexity_keywords = [
            'if', 'elif', 'else', 'for', 'while', 'try', 'except',
            'and', 'or', 'with', 'assert'
        ]
        
        def count_complexity(lines):
            count = 0
            for line in lines:
                stripped = line.strip()
                for kw in complexity_keywords:
                    if re.search(rf'\b{kw}\b', stripped):
                        count += 1
                        break  # Count each line only once
            return count
        
        return count_complexity(added_lines) - count_complexity(removed_lines)
    
    def _estimate_max_nesting(self, added_lines: list[str]) -> int:
        """Estimate maximum nesting depth in added code."""
        max_depth = 0
        for line in added_lines:
            if line.strip():
                # Count leading spaces (assume 4-space indent)
                stripped = line.lstrip()
                indent = len(line) - len(stripped)
                depth = indent // 4
                max_depth = max(max_depth, depth)
        return max_depth
    
    # =========================================================================
    # Issue-patch alignment
    # =========================================================================
    
    def _extract_issue_keywords(self, problem_statement: str) -> list[str]:
        """Extract meaningful keywords from the issue description."""
        # Remove code blocks
        text = re.sub(r'```[\s\S]*?```', '', problem_statement)
        text = re.sub(r'`[^`]+`', '', text)
        
        # Remove URLs
        text = re.sub(r'https?://\S+', '', text)
        
        # Extract potential identifiers (CamelCase, snake_case, etc.)
        identifiers = re.findall(r'\b[A-Z][a-z]+(?:[A-Z][a-z]+)+\b', text)  # CamelCase
        identifiers += re.findall(r'\b\w+_\w+\b', text)  # snake_case
        identifiers += re.findall(r'\b[A-Z]{2,}\b', text)  # CONSTANTS
        
        # Extract error message keywords
        errors = re.findall(r'\b\w*(?:Error|Exception|Warning|Failure)\b', text)
        
        # Extract method/function names mentioned
        methods = re.findall(r'\.(\w+)\(', text)
        methods += re.findall(r'def\s+(\w+)', text)
        methods += re.findall(r'class\s+(\w+)', text)
        
        # Combine and deduplicate
        keywords = list(set(identifiers + errors + methods))
        # Filter out common words
        stopwords = {
            'the', 'is', 'in', 'it', 'to', 'and', 'or', 'not', 'this',
            'that', 'with', 'for', 'are', 'was', 'has', 'have', 'had',
            'when', 'would', 'should', 'could', 'will', 'can', 'may',
            'one', 'two', 'use', 'used', 'using', 'see', 'also',
        }
        keywords = [k for k in keywords if k.lower() not in stopwords and len(k) > 2]
        
        return keywords[:30]  # Cap at 30 keywords
    
    def _match_keywords(self, keywords: list[str], patch_text: str) -> list[str]:
        """Check which issue keywords appear in the patch."""
        patch_lower = patch_text.lower()
        return [k for k in keywords if k.lower() in patch_lower]
    
    def _extract_components(self, problem_statement: str) -> list[str]:
        """Extract software component names from the issue."""
        # Look for file paths
        files = re.findall(r'[\w/]+\.py\b', problem_statement)
        
        # Look for module/class references
        modules = re.findall(r'(?:from|import)\s+([\w.]+)', problem_statement)
        
        # Look for class.method patterns
        class_methods = re.findall(r'(\w+\.\w+)\(', problem_statement)
        
        return list(set(files + modules + class_methods))[:20]
    
    # =========================================================================
    # Code quality signals
    # =========================================================================
    
    def _check_patterns(self, text: str, patterns: list[str]) -> bool:
        """Check if any of the patterns match in the text."""
        return any(re.search(p, text, re.IGNORECASE) for p in patterns)
    
    def _check_style_basic(self, added_lines: list[str]) -> list[str]:
        """Basic style checks without external tools."""
        violations = []
        
        for i, line in enumerate(added_lines):
            # Line too long (PEP 8: 79 chars, flexible to 100)
            if len(line) > 120:
                violations.append(f"line_too_long:{i}")
            
            # Trailing whitespace
            if line != line.rstrip():
                violations.append(f"trailing_whitespace:{i}")
            
            # Mixed tabs and spaces
            if '\t' in line and '    ' in line:
                violations.append(f"mixed_indentation:{i}")
            
            # Multiple statements on one line (except for comprehensions)
            if ';' in line and 'for' not in line and 'import' not in line:
                violations.append(f"multiple_statements:{i}")
        
        # Deduplicate by type
        types_seen = set()
        unique = []
        for v in violations:
            vtype = v.split(':')[0]
            if vtype not in types_seen:
                types_seen.add(vtype)
                unique.append(v)
        
        return unique
    
    def _check_core_files(self, changed_files: list[str]) -> bool:
        """Check if any changed files match core/infrastructure patterns."""
        for f in changed_files:
            for pattern in self.CORE_FILE_PATTERNS:
                if re.search(pattern, f):
                    return True
        return False
    
    def _assess_scope(self, num_files: int, total_lines: int) -> str:
        """Assess the scope of changes."""
        if num_files <= 1 and total_lines <= 20:
            return "minimal"
        elif num_files <= 3 and total_lines <= 100:
            return "moderate"
        else:
            return "extensive"
    
    def _extract_new_imports(self, added_lines: list[str]) -> list[str]:
        """Extract newly added import statements."""
        imports = []
        for line in added_lines:
            stripped = line.strip()
            if stripped.startswith('import ') or stripped.startswith('from '):
                imports.append(stripped)
        return imports


def extract_features_batch(
    examples: list[PatchExample],
    show_progress: bool = True,
) -> list[tuple[PatchExample, PatchFeatures]]:
    """Extract features for a batch of examples."""
    extractor = FeatureExtractor()
    results = []
    
    for i, ex in enumerate(examples):
        if show_progress and (i + 1) % 50 == 0:
            print(f"  Extracted features for {i+1}/{len(examples)} examples")
        
        features = extractor.extract(ex)
        results.append((ex, features))
    
    if show_progress:
        print(f"  Done: {len(results)} examples processed")
    
    return results


if __name__ == "__main__":
    import json
    from patchjudge.data_loader import SWEBenchLoader
    
    loader = SWEBenchLoader()
    examples = loader.build_dataset(sources=["coderforge"])
    
    extractor = FeatureExtractor()
    
    # Extract features for first 5 examples
    for ex in examples[:5]:
        features = extractor.extract(ex)
        print(f"\n{'='*60}")
        print(f"Instance: {ex.instance_id}")
        print(f"Agent: {ex.agent_name}")
        print(f"Test passed: {ex.test_passed}")
        print(f"Files changed: {features.num_files_changed}")
        print(f"Lines +{features.num_lines_added}/-{features.num_lines_removed}")
        print(f"Hunks: {features.num_hunks}")
        print(f"Scope: {features.change_scope}")
        print(f"Error handling: {features.has_error_handling}")
        print(f"Edge cases: {features.has_edge_case_handling}")
        print(f"TODOs: {features.has_todos}")
        print(f"Debug stmts: {features.has_debug_statements}")
        print(f"Hardcoded: {features.has_hardcoded_values}")
        print(f"Core files: {features.modifies_core_files}")
        print(f"New imports: {features.new_imports}")
        print(f"Issue keywords addressed: {features.issue_keywords_addressed[:5]}")
        print(f"Keyword coverage: {features.keyword_coverage_ratio:.2f}")
        print(f"Style violations: {features.style_violations}")
        print(f"Added functions: {features.added_functions}")
        print(f"Modified functions: {features.modified_functions}")