140 lines
4.2 KiB
Python
140 lines
4.2 KiB
Python
import fnmatch
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from typing import List, Tuple
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from fuzzywuzzy import process
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from git import Repo
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from langchain_core.tools import tool
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from rich.console import Console
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from rich.markdown import Markdown
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from rich.panel import Panel
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console = Console()
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DEFAULT_EXCLUDE_PATTERNS = [
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"*.pyc",
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"__pycache__/*",
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".git/*",
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"*.so",
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"*.o",
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"*.class",
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]
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@tool
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def fuzzy_find_project_files(
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search_term: str,
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*,
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repo_path: str = ".",
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threshold: int = 60,
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max_results: int = 10,
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include_paths: List[str] = None,
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exclude_patterns: List[str] = None,
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) -> List[Tuple[str, int]]:
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"""Fuzzy find files in a git repository matching the search term.
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This tool searches for files within a git repository using fuzzy string matching,
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allowing for approximate matches to the search term. It returns a list of matched
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files along with their match scores.
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Args:
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search_term: String to match against file paths
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repo_path: Path to git repository (defaults to current directory)
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threshold: Minimum similarity score (0-100) for matches (default: 60)
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max_results: Maximum number of results to return (default: 10)
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include_paths: Optional list of path patterns to include in search
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exclude_patterns: Optional list of path patterns to exclude from search
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Returns:
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List of tuples containing (file_path, match_score)
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Raises:
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InvalidGitRepositoryError: If repo_path is not a git repository
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ValueError: If threshold is not between 0 and 100
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"""
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# Validate threshold
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if not 0 <= threshold <= 100:
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raise ValueError("Threshold must be between 0 and 100")
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# Handle empty search term as special case
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if not search_term:
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return []
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# Initialize repo for normal search
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repo = Repo(repo_path)
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# Get all tracked files
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tracked_files = repo.git.ls_files().splitlines()
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# Get all untracked files
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untracked_files = repo.untracked_files
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# Combine file lists
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all_files = tracked_files + untracked_files
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# Apply include patterns if specified
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if include_paths:
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filtered_files = []
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for pattern in include_paths:
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filtered_files.extend(f for f in all_files if fnmatch.fnmatch(f, pattern))
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all_files = filtered_files
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# Apply exclude patterns
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patterns = DEFAULT_EXCLUDE_PATTERNS + (exclude_patterns or [])
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for pattern in patterns:
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all_files = [f for f in all_files if not fnmatch.fnmatch(f, pattern)]
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# Perform fuzzy matching
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matches = process.extract(search_term, all_files, limit=max_results)
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# Filter by threshold
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filtered_matches = [(path, score) for path, score in matches if score >= threshold]
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# Build info panel content
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info_sections = []
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# Search parameters section
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params_section = [
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"## Search Parameters",
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f"**Search Term**: `{search_term}`",
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f"**Repository**: `{repo_path}`",
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f"**Threshold**: {threshold}",
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f"**Max Results**: {max_results}",
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]
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if include_paths:
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params_section.append("\n**Include Patterns**:")
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for pattern in include_paths:
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params_section.append(f"- `{pattern}`")
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if exclude_patterns:
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params_section.append("\n**Exclude Patterns**:")
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for pattern in exclude_patterns:
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params_section.append(f"- `{pattern}`")
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info_sections.append("\n".join(params_section))
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# Results statistics section
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stats_section = [
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"## Results Statistics",
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f"**Total Files Scanned**: {len(all_files)}",
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f"**Matches Found**: {len(filtered_matches)}",
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]
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info_sections.append("\n".join(stats_section))
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# Top results section
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if filtered_matches:
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results_section = ["## Top Matches"]
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for path, score in filtered_matches[:5]: # Show top 5 matches
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results_section.append(f"- `{path}` (score: {score})")
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info_sections.append("\n".join(results_section))
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else:
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info_sections.append("## Results\n*No matches found*")
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# Display the panel
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console.print(
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Panel(
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Markdown("\n\n".join(info_sections)),
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title="🔍 Fuzzy Find Results",
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border_style="bright_blue",
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)
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)
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return filtered_matches
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