351 lines
11 KiB
Python
351 lines
11 KiB
Python
"""
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Files plugin for the launcher.
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High-performance file and directory search using advanced fuzzy matching.
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"""
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import os
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import subprocess
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import threading
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import time
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from typing import List, Dict, Set, Tuple
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from pathlib import Path
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from concurrent.futures import ThreadPoolExecutor, as_completed
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from thefuzz import fuzz
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from ..plugin_base import PluginBase
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from ..result import Result
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import utils.icons as icons
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class FilesPlugin(PluginBase):
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"""
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High-performance plugin for searching files and directories.
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Uses advanced fuzzy matching, caching, and threading for optimal performance.
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"""
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def __init__(self):
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super().__init__()
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self.display_name = "Files"
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self.description = "Search for files and directories"
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# Performance-optimized search paths
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self.search_paths = [
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os.path.expanduser("~"),
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os.path.expanduser("/"),
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]
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# Performance settings
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self.max_results = 15
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self.max_depth = 3
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self.search_timeout = 0.8
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self.min_query_length = 1
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# Fuzzy search settings
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self.fuzzy_thresholds = {
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"ratio": 60,
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"partial": 70,
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"token_sort": 65,
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"token_set": 65,
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}
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# Enhanced caching
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self.file_cache: Dict[str, List[str]] = {}
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self.cache_timestamp: Dict[str, float] = {}
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self.cache_ttl = 300
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self.cache_lock = threading.Lock()
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# Thread pool for concurrent searches
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self.executor = ThreadPoolExecutor(
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max_workers=4, thread_name_prefix="files-search"
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)
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def initialize(self):
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"""Initialize the files plugin."""
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self.set_triggers(
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[
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"file",
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"find",
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"file ",
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"find ",
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]
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)
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self._warm_cache()
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def cleanup(self):
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"""Cleanup the files plugin."""
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if hasattr(self, "executor"):
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self.executor.shutdown(wait=False)
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with self.cache_lock:
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self.file_cache.clear()
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self.cache_timestamp.clear()
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def query(self, query_string: str) -> List[Result]:
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"""Fast search for files matching the query."""
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query = query_string.strip()
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if len(query) < self.min_query_length:
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return []
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# Handle special path queries
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if query.startswith("/") or query.startswith("~"):
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return self._handle_path_query(query)
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# Check if this is a file-only search
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is_file_only = query.startswith("file ")
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if is_file_only:
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query = query[5:].strip()
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# Use cached search for better performance
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results = self._fast_search(query, file_only=is_file_only)
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# Sort by relevance and limit results
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results.sort(key=lambda r: r.relevance, reverse=True)
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return results[: self.max_results]
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def _warm_cache(self):
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"""Pre-warm cache for common directories in background."""
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def warm_directory(path):
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try:
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if os.path.exists(path) and os.path.isdir(path):
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self._get_cached_files(path)
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except:
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pass
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for path in self.search_paths:
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threading.Thread(target=warm_directory, args=(path,), daemon=True).start()
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def _handle_path_query(self, query: str) -> List[Result]:
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"""Handle path-based queries like '/home' or '~/Documents'."""
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try:
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expanded_path = (
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os.path.expanduser(query) if query.startswith("~") else query
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)
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if os.path.isdir(expanded_path):
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return self._list_directory_contents(expanded_path)
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parent_dir = os.path.dirname(expanded_path)
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if os.path.isdir(parent_dir):
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basename = os.path.basename(expanded_path)
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return self._search_in_directory(parent_dir, basename, max_results=10)
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except Exception:
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pass
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return []
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def _fast_search(self, query: str, file_only: bool = False) -> List[Result]:
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"""Fast search using cached file lists and concurrent processing."""
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results = []
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query_lower = query.lower()
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# Search in cached directories
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for search_path in self.search_paths:
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if not os.path.exists(search_path):
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continue
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cached_files = self._get_cached_files(search_path)
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for file_path in cached_files:
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if file_only and os.path.isdir(file_path):
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continue
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filename = os.path.basename(file_path)
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if self._simple_fuzzy_match(query_lower, filename):
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relevance = self._calculate_relevance(filename, query_lower)
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result = self._create_file_result(file_path, relevance)
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if result:
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results.append(result)
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if len(results) >= self.max_results * 2:
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break
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if len(results) >= self.max_results * 2:
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break
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return results
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def _get_cached_files(self, directory: str) -> List[str]:
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"""Get cached file list for directory, refresh if needed."""
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current_time = time.time()
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with self.cache_lock:
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if (
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directory in self.file_cache
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and directory in self.cache_timestamp
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and current_time - self.cache_timestamp[directory] < self.cache_ttl
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):
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return self.file_cache[directory]
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files = self._scan_directory_fast(directory)
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self.file_cache[directory] = files
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self.cache_timestamp[directory] = current_time
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return files
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def _scan_directory_fast(self, directory: str) -> List[str]:
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"""Fast directory scan with improved depth and fuzzy search."""
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files = []
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current_depth = 0
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def scan_dir(path: str, depth: int):
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if depth > self.max_depth:
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return
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try:
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with os.scandir(path) as entries:
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for entry in entries:
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try:
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if entry.name.startswith("."):
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continue
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files.append(entry.path)
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if entry.is_dir():
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scan_dir(entry.path, depth + 1)
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except (PermissionError, OSError):
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continue
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except (PermissionError, OSError):
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pass
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scan_dir(directory, current_depth)
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return files
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def _is_important_directory(self, dirname: str) -> bool:
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"""Check if directory is important enough to scan deeper."""
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important_dirs = {
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"Documents",
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"Downloads",
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"Desktop",
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"Pictures",
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"Videos",
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"Music",
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"Projects",
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"Code",
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"Development",
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"Work",
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"src",
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"bin",
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}
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return dirname in important_dirs
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def _search_in_directory(
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self, directory: str, query: str, max_results: int = 10
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) -> List[Result]:
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"""Search for files in a specific directory."""
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results = []
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query_lower = query.lower()
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try:
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with os.scandir(directory) as entries:
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for entry in entries:
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if self._simple_fuzzy_match(query_lower, entry.name):
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relevance = self._calculate_relevance(entry.name, query_lower)
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result = self._create_file_result(entry.path, relevance)
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if result:
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results.append(result)
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if len(results) >= max_results:
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break
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except (PermissionError, OSError):
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pass
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return results
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def _list_directory_contents(
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self, directory: str, max_results: int = 15
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) -> List[Result]:
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"""List contents of a directory."""
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results = []
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try:
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with os.scandir(directory) as entries:
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for entry in entries:
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if not entry.name.startswith("."):
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result = self._create_file_result(entry.path, 0.8)
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if result:
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results.append(result)
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if len(results) >= max_results:
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break
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except (PermissionError, OSError):
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pass
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return results
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def _create_file_result(self, file_path: str, relevance: float) -> Result:
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"""Create a Result object for a file or directory."""
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try:
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filename = os.path.basename(file_path)
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is_dir = os.path.isdir(file_path)
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return Result(
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title=filename,
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subtitle=file_path,
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icon_markup=icons.file,
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action=lambda p=file_path: self._open_path(p),
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relevance=relevance,
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plugin_name=self.display_name,
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data={"path": file_path, "type": "directory" if is_dir else "file"},
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)
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except Exception:
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return None
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def _open_path(self, path: str):
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"""Open a file or directory with the default application."""
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try:
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subprocess.Popen(
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["xdg-open", path], stdout=subprocess.DEVNULL, stderr=subprocess.DEVNULL
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)
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except Exception as e:
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print(f"Failed to open {path}: {e}")
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def _open_file(self, file_path: str):
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"""Open a file with the default application."""
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self._open_path(file_path)
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def _open_directory(self, dir_path: str):
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"""Open a directory in the file manager."""
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self._open_path(dir_path)
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def _simple_fuzzy_match(self, query: str, text: str) -> bool:
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"""Advanced fuzzy matching using multiple methods."""
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text_lower = text.lower()
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query_lower = query.lower()
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if query_lower in text_lower:
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return True
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return (
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fuzz.ratio(query_lower, text_lower) >= self.fuzzy_thresholds["ratio"]
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or fuzz.partial_ratio(query_lower, text_lower)
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>= self.fuzzy_thresholds["partial"]
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or fuzz.token_sort_ratio(query_lower, text_lower)
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>= self.fuzzy_thresholds["token_sort"]
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or fuzz.token_set_ratio(query_lower, text_lower)
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>= self.fuzzy_thresholds["token_set"]
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)
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def _calculate_relevance(self, filename: str, query: str) -> float:
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"""Calculate relevance score using multiple fuzzy matching methods."""
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filename_lower = filename.lower()
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query_lower = query.lower()
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ratio = fuzz.ratio(query_lower, filename_lower)
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partial = fuzz.partial_ratio(query_lower, filename_lower)
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token_sort = fuzz.token_sort_ratio(query_lower, filename_lower)
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token_set = fuzz.token_set_ratio(query_lower, filename_lower)
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relevance = (
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ratio * 0.2 + partial * 0.4 + token_sort * 0.2 + token_set * 0.2
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) / 100.0
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if query_lower == filename_lower:
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relevance = 1.0
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elif filename_lower.startswith(query_lower):
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relevance = max(relevance, 0.9)
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elif query_lower in filename_lower:
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relevance = max(relevance, 0.8)
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return relevance
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