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from wx import Image, Bitmap, StaticBitmap
import os
import sys
import re
import json
import threading
from pathlib import Path
from rapidfuzz import fuzz, process
from typing import List, Tuple, Optional, Match, Dict, Set
import logging
# --- Configure logging ---
# Create a custom logger
logger = logging.getLogger(__name__)
logger.setLevel(logging.DEBUG) # Default to info level
# Create handler and set level
handler = logging.StreamHandler()
handler.setLevel(logging.INFO)
# Create formatter
formatter = logging.Formatter('%(asctime)s - %(name)s - %(levelname)s - %(message)s')
handler.setFormatter(formatter)
# Add handler to logger
logger.addHandler(handler)
def resource_path(relative_path):
"""Get absolute path to resource, works for dev and PyInstaller"""
try:
# PyInstaller creates a temp folder and stores path in _MEIPASS
base_path = sys._MEIPASS
except AttributeError:
base_path = os.path.abspath(".")
return os.path.join(base_path, relative_path)
# --- Engine ---
class TextProcessor:
def __init__(self, file_path: str):
self.file_path = Path(file_path)
self.text_bytes: Optional[bytes] = None # Explicit type annotation
self.decoded_text: Optional[str] = None
self.char_to_byte: Optional[List[int]] = None
self.load_and_process_file()
def load_and_process_file(self):
try:
logger.debug(f"Loading file: {self.file_path}")
self.text_bytes = self.file_path.read_bytes()
self.decoded_text = self.text_bytes.decode("utf-8", errors="surrogateescape")
self._build_char_to_byte_mapping()
except Exception as e:
raise RuntimeError(f"Failed to read file {self.file_path}: {str(e)}")
def _build_char_to_byte_mapping(self):
if self.decoded_text is None:
return # Safety check
logger.debug("Building character-to-byte mapping")
self.char_to_byte = [0]
for ch in self.decoded_text:
self.char_to_byte.append(self.char_to_byte[-1] + len(ch.encode("utf-8", errors="surrogateescape")))
class Match:
def __init__(self, pattern: str, text: str, start_char: int, end_char: int):
self.pattern = pattern
self.text = text
self.start_char = start_char
self.end_char = end_char
self.byte_start: Optional[int] = None
self.byte_end: Optional[int] = None
def set_byte_positions(self, char_to_byte_map: List[int]) -> None:
"""Convert character positions to byte positions using the mapping."""
if char_to_byte_map and len(char_to_byte_map) > self.start_char:
self.byte_start = char_to_byte_map[self.start_char]
if char_to_byte_map and len(char_to_byte_map) > self.end_char:
self.byte_end = char_to_byte_map[self.end_char]
class SnippetExtractor:
# Pre-compiled regex patterns for performance
_regex_cache: dict[str, str] = {}
@staticmethod
def wildcards_to_regex(pattern: str) -> str:
"""
Convert wildcard pattern to regex with caching.
- '?' → matches exactly one character of any type
- '*' → matches zero or more non-whitespace chars
"""
try:
# Use cache for better performance
if pattern in SnippetExtractor._regex_cache:
return SnippetExtractor._regex_cache[pattern]
logger.debug(f"Converting wildcard pattern to regex: {pattern}")
regex_parts = []
i = 0
while i < len(pattern):
ch = pattern[i]
if ch == '?':
regex_parts.append('.')
i += 1
elif ch == '*':
regex_parts.append(r'(?:\S*)')
i += 1
else:
regex_parts.append(re.escape(ch))
i += 1
result = "".join(regex_parts)
SnippetExtractor._regex_cache[pattern] = result
logger.debug(f"Converted pattern '{pattern}' to regex: {result}")
return result
except Exception as e:
raise RuntimeError(f"Failed to convert wildcard pattern '{pattern}' to regex: {str(e)}")
@staticmethod
def expand_to_word_boundaries(text: str, start_char: int, end_char: int, pattern: str):
"""
Expand match boundaries depending on '*' position.
"""
try:
# Exact match for '?' only patterns
if '?' in pattern and '*' not in pattern:
return text[start_char:end_char], start_char, end_char
expanded_start = start_char
expanded_end = end_char
logger.debug(f"Expanding boundaries for pattern '{pattern}'")
if '*' in pattern:
if pattern.startswith('*') and not pattern.endswith('*'):
# expand LEFT until whitespace - optimized with backward search
while expanded_start > 0 and not text[expanded_start - 1].isspace():
expanded_start -= 1
elif pattern.endswith('*') and not pattern.startswith('*'):
# expand RIGHT until whitespace - optimized forward search
while expanded_end < len(text) and not text[expanded_end].isspace():
expanded_end += 1
else:
# '*' is inside → expand both sides until visible character
if expanded_start > 0:
expanded_start -= 1
if expanded_end < len(text):
expanded_end += 1
return text[expanded_start:expanded_end], expanded_start, expanded_end
except Exception as e:
raise RuntimeError(f"Failed to expand word boundaries for pattern '{pattern}': {str(e)}")
@staticmethod
def find_matches(patterns, decoded_text: str, char_to_byte_map):
"""
Find all matches. These are also passed on to fuzzy match.
"""
try:
logger.debug("Finding wildcard matches")
matches = []
# Pre-compile all patterns once - cached version
compiled_patterns = {}
for pattern in patterns:
if not pattern:
continue
if '*' in pattern or '?' in pattern:
regex_pattern = SnippetExtractor.wildcards_to_regex(pattern)
compiled_patterns[pattern] = re.compile(regex_pattern, re.IGNORECASE | re.DOTALL)
else:
escaped_pattern = re.escape(pattern)
regex_pattern = r'\b' + escaped_pattern + r'\b'
compiled_patterns[pattern] = re.compile(regex_pattern, re.IGNORECASE)
for pattern, compiled_pattern in compiled_patterns.items():
try:
# Check stop event before each iteration
for match in compiled_pattern.finditer(decoded_text):
start_pos, end_pos = match.start(), match.end()
match_text = decoded_text[start_pos:end_pos]
if '*' in pattern or '?' in pattern:
expanded_match_text, expanded_start, expanded_end = SnippetExtractor.expand_to_word_boundaries(
decoded_text, start_pos, end_pos, pattern
)
match_text = expanded_match_text
start_pos = expanded_start
end_pos = expanded_end
match_obj = Match(pattern, match_text, start_pos, end_pos)
match_obj.set_byte_positions(char_to_byte_map)
matches.append(match_obj)
except re.error as e:
raise RuntimeError(f"Regex compilation error for pattern '{pattern}': {str(e)}")
logger.debug(f"Found {len(matches)} wildcard matches")
return matches
except Exception as e:
raise RuntimeError(f"Failed to find matches: {str(e)}")
@staticmethod
def filter_by_distance(matches, distance: int, buzzwords):
"""
filter matches by distance limit given by user input.
"""
try:
logger.debug("Filtering matches by distance")
if not matches:
return []
# Use sets for faster membership checks and avoid redundant lookups
pattern_positions: dict[str, set[tuple[int, int]]] = {word: set() for word in buzzwords}
for m in matches:
if m.pattern in pattern_positions:
pattern_positions[m.pattern].add((m.start_char, m.end_char))
if any(not pos_set for pos_set in pattern_positions.values()):
return []
combined_spans = []
first_word = list(buzzwords)[0]
for start1, end1 in pattern_positions[first_word]:
span_candidates = [(start1, end1)]
for other_word in buzzwords:
if other_word == first_word:
continue
best_match = None
min_distance = float('inf')
# Direct set iteration - much faster than list lookup
for start2, end2 in pattern_positions[other_word]:
dist = abs(start1 - start2)
if dist <= distance and dist < min_distance:
min_distance = dist
best_match = (start2, end2)
if best_match:
span_candidates.append(best_match)
if len(span_candidates) == len(buzzwords):
min_pos = min(s for s, _ in span_candidates)
max_pos = max(e for _, e in span_candidates)
combined_spans.append((min_pos, max_pos))
logger.debug(f"After distance filtering: {len(combined_spans)} matches")
return combined_spans
except Exception as e:
raise RuntimeError(f"Failed to filter by distance: {str(e)}")
@staticmethod
def extract_snippets(matches, snippet_size, pre_ratio, post_ratio, decoded_text):
try:
logger.debug("Extracting snippets for wildcard matches")
snippets = []
for start, end in matches:
pre_chars = int(snippet_size * pre_ratio)
post_chars = int(snippet_size * post_ratio)
snippet_start = max(0, start - pre_chars)
snippet_end = min(len(decoded_text), end + post_chars)
snippets.append((snippet_start, snippet_end))
return snippets
except Exception as e:
raise RuntimeError(f"Failed to extract snippets: {str(e)}")
@staticmethod
def merge_snippets(snippets):
try:
logger.debug("Merging wildcard snippets")
if not snippets:
return [], 0
total_snippets = len(snippets)
# Sort once instead of repeatedly during merging
sorted_snippets = sorted(snippets, key=lambda x: x[0])
merged = [sorted_snippets[0]]
for current in sorted_snippets[1:]:
last_end = merged[-1][1]
if current[0] <= last_end:
# Fast merge - no need to check all previous ones
merged[-1] = (merged[-1][0], max(last_end, current[1]))
else:
merged.append(current)
logger.debug(f"Merged snippets: {len(merged)} from {total_snippets}")
return merged, total_snippets
except Exception as e:
raise RuntimeError(f"Failed to merge snippets: {str(e)}")
# ----------
# Fuzzy part
# ----------
@staticmethod
def find_fuzzy_matches(decoded_text: str, wildcard_matches: List[Match], threshold: float, stop_event=None):
"""
Search the entire text using matches from wildcard search as fuzzily searched words.
Returns list of tuples (match_start, match_end, score, original_word) where score >= threshold.
"""
try:
logger.debug("Starting fuzzy matching")
fuzzy_results: List[Tuple[int, int, float, str]] = []
# Get all unique texts from wildcard matches to use as buzzwords
buzzwords = [match.text for match in wildcard_matches if match.text.strip()]
if not buzzwords:
logger.debug("No buzzwords found for fuzzy matching")
return fuzzy_results
logger.debug(f"Using {len(buzzwords)} buzzwords for fuzzy matching")
# Use rapidfuzz.process.extract for efficient fuzzy matching
words = decoded_text.split()
processed_words = []
# Create a list of (word, start_pos, end_pos) tuples to track positions
current_pos = 0
for word in words:
if stop_event and stop_event.is_set():
raise RuntimeError("Fuzzy search was aborted")
# Find exact position of this word in original text
try:
pos = decoded_text.index(word, current_pos)
processed_words.append((word, pos, pos + len(word)))
current_pos = pos + len(word)
except ValueError:
# Word not found - skip it
continue
# For each word in the document, check fuzzy matches against our buzzwords
for word, start_pos, end_pos in processed_words:
if stop_event and stop_event.is_set():
raise RuntimeError("Fuzzy search was aborted")
# Find best match among buzzwords using rapidfuzz
try:
# Get top match with score >= threshold
matches = process.extract(
word,
buzzwords,
limit=1,
scorer=fuzz.ratio,
score_cutoff=threshold
)
if matches and len(matches) > 0:
best_match_text, score, _ = matches[0]
# Add the position of this match in original text + the actual word that was matched
fuzzy_results.append((start_pos, end_pos, score, word))
except Exception as e:
# Continue with other words if one fails
logger.warning(f"Fuzzy matching failed for word '{word}': {str(e)}")
continue
logger.debug(f"Found {len(fuzzy_results)} fuzzy matches")
return fuzzy_results
except Exception as e:
raise RuntimeError(f"Failed to find fuzzy matches: {str(e)}")
@staticmethod
def filter_by_distance_fuzzy(fuzzy_matches, distance_threshold):
"""
Filter fuzzy matches requiring all buzzwords within distance threshold.
Groups matching words together and only keeps groups where all required
buzzwords appear within the specified distance.
Args:
fuzzy_matches: List of tuples (start_pos, end_pos, score, original_word)
distance_threshold: Maximum character distance between matches
Returns:
List of filtered fuzzy match tuples
"""
try:
logger.debug("Filtering fuzzy matches by distance")
if not fuzzy_matches:
return []
# Group matches by their original word (buzzword)
word_groups = {}
for start, end, score, word in fuzzy_matches:
if word not in word_groups:
word_groups[word] = []
word_groups[word].append((start, end, score))
logger.debug(f"Processing {len(word_groups)} unique words from fuzzy matches")
for word, positions in word_groups.items():
logger.debug(f" Word '{word}': {len(positions)} matches at positions {[pos[0] for pos in positions]}")
# Get all buzzwords that were actually found
found_buzzwords = list(word_groups.keys())
if len(found_buzzwords) < 2:
logger.debug("Only one unique word found - returning all matches")
return fuzzy_matches
# For multiple words, create sliding windows to find valid groups
results = []
# Sort all positions by start position to make grouping easier
all_positions = []
for word, pos_list in word_groups.items():
for start, end, score in pos_list:
all_positions.append((start, end, score, word))
all_positions.sort(key=lambda x: x[0]) # Sort by start position
logger.debug(f"Total positions to process: {len(all_positions)}")
# Try to find groups where multiple buzzwords appear within distance
i = 0
while i < len(all_positions):
current_start = all_positions[i][0]
current_end = all_positions[i][1]
# Create a window around this position
window_end = current_start + distance_threshold
# Collect all words in this window
window_words = {}
j = i
while j < len(all_positions) and all_positions[j][0] <= window_end:
pos_start, pos_end, score, word = all_positions[j]
if word not in window_words:
window_words[word] = []
window_words[word].append((pos_start, pos_end, score))
j += 1
# Check if we have matches for ALL required buzzwords
if len(window_words) >= 2: # At least two different words found together
logger.debug(f"Found group with {len(window_words)} words in range [{current_start}, {window_end}]")
for word, positions in window_words.items():
logger.debug(f" Word '{word}': {[pos[0] for pos in positions]}")
# Add all matches from this valid window
for word, positions in window_words.items():
for start, end, score in positions:
results.append((start, end, score, word))
else:
logger.debug(f"Window [{current_start}, {window_end}] only had {len(window_words)} unique words")
i = j
# Remove duplicates while preserving order
seen = set()
final_results = []
for item in results:
if item not in seen:
seen.add(item)
final_results.append(item)
logger.debug(f"Final filtered results count: {len(final_results)}")
return final_results
except Exception as e:
raise RuntimeError(f"Failed to filter fuzzy matches by distance: {str(e)}")
@staticmethod
def extract_snippets_fuzzy(matches, snippet_size, pre_ratio, post_ratio, decoded_text):
"""
Extract snippets from fuzzy matches.
"""
try:
logger.debug("Extracting snippets for fuzzy matches")
snippets = []
for start, end, score, original_word in matches:
# Apply ratio-based padding to include more context
pre_chars = int(snippet_size * pre_ratio)
post_chars = int(snippet_size * post_ratio)
snippet_start = max(0, start - pre_chars)
snippet_end = min(len(decoded_text), end + post_chars)
snippets.append((snippet_start, snippet_end, score, original_word))
return snippets
except Exception as e:
raise RuntimeError(f"Failed to extract fuzzy snippets: {str(e)}")
@staticmethod
def merge_snippets_fuzzy(snippets):
"""
Merge overlapping or adjacent fuzzy snippets.
"""
try:
logger.debug("Merging fuzzy snippets")
if not snippets:
return [], 0
total_snippets = len(snippets)
# Sort by start position
sorted_snippets = sorted(snippets, key=lambda x: x[0])
merged = [sorted_snippets[0]]
for current in sorted_snippets[1:]:
last_end = merged[-1][1]
if current[0] <= last_end:
# Merge overlapping or adjacent snippets
new_start = merged[-1][0]
new_end = max(last_end, current[1])
# Update the score to be average of both scores (or keep highest)
avg_score = (merged[-1][2] + current[2]) / 2.0
merged[-1] = (new_start, new_end, avg_score, merged[-1][3]) # Keep original word from first
else:
merged.append(current)
logger.debug(f"Merged fuzzy snippets: {len(merged)} from {total_snippets}")
return merged, total_snippets
except Exception as e:
raise RuntimeError(f"Failed to merge fuzzy snippets: {str(e)}")
# --- Main search function ---
def run_search_for_file(file_path: str, config: dict, stop_event: threading.Event):
"""
Run search for a single file. Writes output_snippets.txt and output_fuzzy_snippets.txt.
Returns (wildcard_text, fuzzy_text) strings for UI display.
Optimized version with faster operations.
"""
try:
processor = TextProcessor(file_path)
if processor.text_bytes is None or processor.char_to_byte is None:
raise RuntimeError("Failed to load file properly")
buzzwords = [bw for bw in config.get("buzzwords", []) if bw.strip()]
# Use set for filter_by_distance membership but keep list for order preservation
buzzwords_set = list(dict.fromkeys(buzzwords)) # unique preserving order
# wildcard-part - optimized
all_matches = SnippetExtractor.find_matches(
buzzwords_set,
processor.decoded_text,
processor.char_to_byte
)
if config.get("search_type", "AND") == "AND":
final_matches = SnippetExtractor.filter_by_distance(
all_matches,
config.get("distance_match", 100),
buzzwords_set
)
else:
final_matches = [(m.start_char, m.end_char) for m in all_matches]
snippets = SnippetExtractor.extract_snippets(
final_matches,
config.get("snippet_size", 2000),
config.get("pre_ratio", 0.3),
config.get("post_ratio", 0.7),
processor.decoded_text
)
merged_snippets, total_snippets = SnippetExtractor.merge_snippets(snippets)
# Count wildcard metrics
all_wildcard_matches = len(all_matches)
merged_wildcard_snippets = len(merged_snippets)
# Calculate characters in merged snippets for wildcard
total_wildcard_chars = 0
for start, end in merged_snippets:
if stop_event.is_set():
raise RuntimeError("Search was aborted")
s_b = processor.char_to_byte[start]
e_b = processor.char_to_byte[end]
snippet_bytes = processor.text_bytes[s_b:e_b]
snippet_text = snippet_bytes.decode("utf-8", errors="surrogateescape")
cleaned = re.sub(r'\s+', ' ', snippet_text) # without \n and \r
total_wildcard_chars += len(cleaned)
# Calculate token for wildcard (characters / 4.2)
wildcard_token = round(total_wildcard_chars / 4.2, 1) if total_wildcard_chars > 0 else 0
# Build wildcard textual output - optimized with pre-calculated values
wildcard_blocks = []
for idx, (start, end) in enumerate(merged_snippets):
if stop_event.is_set():
raise RuntimeError("Search was aborted")
s_b = processor.char_to_byte[start]
e_b = processor.char_to_byte[end]
snippet_bytes = processor.text_bytes[s_b:e_b]
snippet_text = snippet_bytes.decode("utf-8", errors="surrogateescape")
cleaned = re.sub(r'\s+', ' ', snippet_text) # without \n and \r
# Find first match
match_text = None
byte_start = None
for m in all_matches:
if start <= m.start_char and end >= m.end_char:
match_text = m.text
byte_start = m.byte_start
break
block = [
{"Excerpt": idx + 1},
{"Match Buzzword": match_text},
{"Position, match_text": byte_start},
{"Content": cleaned},
]
wildcard_blocks.append(json.dumps(block, ensure_ascii=False, indent=1))
wildcard_text = "\n\n".join(wildcard_blocks)
# fuzzy part, similar approach like wildcard
ft = config.get("fuzzy_threshold", 94)
if not isinstance(ft, (int, float)) or not (0 <= ft <= 100):
ft = 94.0 # default threshold
# Use all wildcard matches as input for fuzzy search
fuzzy_matches = SnippetExtractor.find_fuzzy_matches(
processor.decoded_text,
all_matches,
ft
)
if config.get("search_type", "AND") == "AND":
if len(buzzwords) > 1:
filtered_fuzzy_matches = SnippetExtractor.filter_by_distance_fuzzy(
fuzzy_matches,
config.get("distance_match", 100)
)
else:
# fallback to OR behavior when only one buzzword
filtered_fuzzy_matches = fuzzy_matches
else:
filtered_fuzzy_matches = fuzzy_matches
# Extract snippets for fuzzy matches
fuzzy_snippets = SnippetExtractor.extract_snippets_fuzzy(
filtered_fuzzy_matches,
config.get("snippet_size", 2000),
config.get("pre_ratio", 0.3),
config.get("post_ratio", 0.7),
processor.decoded_text
)
# Merge fuzzy snippets
merged_fuzzy_snippets, total_fuzzy_snippets = SnippetExtractor.merge_snippets_fuzzy(fuzzy_snippets)
# Count fuzzy metrics
all_fuzzy_matches = len(fuzzy_matches)
merged_fuzzy_snippets_count = len(merged_fuzzy_snippets)
# Calculate characters in merged snippets for fuzzy
total_fuzzy_chars = 0
for start, end, score, original_word in merged_fuzzy_snippets:
if stop_event.is_set():
raise RuntimeError("Search was aborted")
s_b = processor.char_to_byte[start]
e_b = processor.char_to_byte[end]
snippet_bytes = processor.text_bytes[s_b:e_b]
snippet_text = snippet_bytes.decode("utf-8", errors="surrogateescape")
cleaned_snippet = re.sub(r'\s+', ' ', snippet_text) # without \n and \r
total_fuzzy_chars += len(cleaned_snippet)
# Calculate token for fuzzy (characters / 4.2)
fuzzy_token = round(total_fuzzy_chars / 4.2, 1) if total_fuzzy_chars > 0 else 0
# Build fuzzy textual output - now with actual matched text and byte positions
fuzzy_blocks = []
for idx, (start, end, score, original_word) in enumerate(merged_fuzzy_snippets):
if stop_event.is_set():
raise RuntimeError("Search was aborted")
s_b = processor.char_to_byte[start]
e_b = processor.char_to_byte[end]
snippet_bytes = processor.text_bytes[s_b:e_b]
snippet_text = snippet_bytes.decode("utf-8", errors="surrogateescape")
cleaned_snippet = re.sub(r'\s+', ' ', snippet_text) # without \n and \r
# Get the actual byte start position of the matched word in the original file
match_byte_start = None
for fm in fuzzy_matches: # Use original fuzzy_matches, not filtered_fuzzy_matches
if fm[3] == original_word and fm[0] >= start and fm[1] <= end:
# Found the exact fuzzy match that corresponds to this merged snippet
match_byte_start = processor.char_to_byte[fm[0]]
break
block = [
{"Excerpt": idx + 1},
{"Match Buzzword": original_word}, # Show the actual word that was matched
{"Score": score},
{"Position": match_byte_start}, # Add byte position to JSON output
{"Content": cleaned_snippet},
]
fuzzy_blocks.append(json.dumps(block, ensure_ascii=False, indent=1))
fuzzy_text = "\n\n".join(fuzzy_blocks)
logger.debug("Search completed successfully")
return wildcard_text, fuzzy_text, all_wildcard_matches, merged_wildcard_snippets, total_wildcard_chars, wildcard_token, all_fuzzy_matches, merged_fuzzy_snippets_count, total_fuzzy_chars, fuzzy_token
except Exception as e:
logger.error(f"Search failed for file {file_path}: {str(e)}")
raise RuntimeError(f"Search failed for file {file_path}: {str(e)}")
# ---
# GUI
# ---
class SearchThread(threading.Thread):
def __init__(self, paths, config, stop_event, on_complete):
super().__init__()
self.paths = paths
self.config = config
self.stop_event = stop_event
self.on_complete = on_complete # callback(wildcard_text, fuzzy_text, finished_ok)
def run(self):
try:
agg_wild = []
agg_fuzzy = []
total_all_wildcard_matches = 0
total_merged_wildcard_snippets = 0
total_wildcard_chars = 0
total_wildcard_tokens = 0
total_all_fuzzy_matches = 0
total_merged_fuzzy_snippets = 0
total_fuzzy_chars = 0
total_fuzzy_tokens = 0
for p in self.paths:
if self.stop_event.is_set():
self.on_complete("", "", False)
return
try:
w, f, all_wildcard_matches, merged_wildcard_snippets, wildcard_chars, wildcard_token, all_fuzzy_matches, merged_fuzzy_snippets, fuzzy_chars, fuzzy_token = run_search_for_file(p, self.config, self.stop_event)
# Accumulate totals
total_all_wildcard_matches += all_wildcard_matches
total_merged_wildcard_snippets += merged_wildcard_snippets
total_wildcard_chars += wildcard_chars
total_wildcard_tokens += wildcard_token
total_all_fuzzy_matches += all_fuzzy_matches
total_merged_fuzzy_snippets += merged_fuzzy_snippets
total_fuzzy_chars += fuzzy_chars
total_fuzzy_tokens += fuzzy_token
# Include file name in the aggregated results
agg_wild.append(f"--- {os.path.basename(p)} ---\n{w}")
agg_fuzzy.append(f"--- {os.path.basename(p)} ---\n{f}")
except Exception as e:
# If one file fails, continue with others but report the error
if not self.stop_event.is_set(): # Only show error if not aborted
self.on_complete(f"ERROR processing {p}: {str(e)}", f"ERROR processing {p}: {str(e)}", False)
return
wildcard_text = "\n\n".join(agg_wild)
fuzzy_text = "\n\n".join(agg_fuzzy)
# Create summary strings
wildcard_summary = f"Wildcard Results (output_snippets.txt): All matches: {total_all_wildcard_matches}, Merged snippets: {total_merged_wildcard_snippets}, Characters in merged: {total_wildcard_chars}, Token: {total_wildcard_tokens}"
fuzzy_summary = f"Fuzzy Results (output_fuzzy_snippets.txt): All matches: {total_all_fuzzy_matches}, Merged snippets: {total_merged_fuzzy_snippets}, Characters in merged: {total_fuzzy_chars}, Token: {total_fuzzy_tokens}"
# Prepend summaries to results
wildcard_text = wildcard_summary + "\n\n" + wildcard_text if wildcard_text else wildcard_summary
fuzzy_text = fuzzy_summary + "\n\n" + fuzzy_text if fuzzy_text else fuzzy_summary
self.on_complete(wildcard_text, fuzzy_text, True)
except Exception as e:
# Handle exceptions in the thread itself
self.on_complete(f"THREAD ERROR: {str(e)}", f"THREAD ERROR: {str(e)}", False)
class MainFrame(wx.Frame):
def __init__(self):
super().__init__(None, title="Text Search by Sevenof9 (v8_alpha)", size=(1260, 1000))
panel = wx.Panel(self)
# Top: file / dir pickers and right-side label for chosen path
top_sizer = wx.BoxSizer(wx.HORIZONTAL)
self.file_picker = wx.FilePickerCtrl(panel, style=wx.FLP_OPEN | wx.FLP_FILE_MUST_EXIST)
self.dir_picker = wx.DirPickerCtrl(panel)
# Set the button labels using SetLabel method on the button part of the picker controls
self.file_picker.GetPickerCtrl().SetLabel("Browse File")
self.dir_picker.GetPickerCtrl().SetLabel("Browse Folder")
self.path_label = wx.StaticText(panel, label="No file/folder selected")
top_sizer.Add(self.file_picker, 0, wx.ALL | wx.ALIGN_LEFT, 4)
top_sizer.Add(self.dir_picker, 0, wx.ALL | wx.ALIGN_LEFT, 4)
top_sizer.Add(self.path_label, 0, wx.ALL | wx.ALIGN_LEFT, 6)
# Middle: left = buzzwords (4 fields with AND/OR buttons between), right = controls/config
middle_sizer = wx.BoxSizer(wx.HORIZONTAL)
# Left: buzzwords area
buzz_sizer = wx.BoxSizer(wx.VERTICAL)
self.buzz_inputs = []
self.toggle_buttons = []
for i in range(4):
txt = wx.TextCtrl(panel, size=(250, -1))
self.buzz_inputs.append(txt)
buzz_sizer.Add(txt, 0, wx.ALL | wx.ALIGN_LEFT, 2)
if i < 3:
btn = wx.Button(panel, label="AND", size=(80, 24))
btn.Bind(wx.EVT_BUTTON, self.on_toggle)
self.toggle_buttons.append(btn)
buzz_sizer.Add(btn, 0, wx.ALL | wx.ALIGN_LEFT, 2)
middle_sizer.Add(buzz_sizer, 0, wx.ALL | wx.ALIGN_LEFT, 6)
# Middle: controls and config
ctrl_sizer = wx.BoxSizer(wx.VERTICAL)
# Start / Abort
self.start_button = wx.Button(panel, label="Start Search")
self.abort_button = wx.Button(panel, label="Abort")
self.abort_button.Disable()
self.start_button.Bind(wx.EVT_BUTTON, self.on_start)
self.abort_button.Bind(wx.EVT_BUTTON, self.on_abort)
ctrl_sizer.Add(self.start_button, 0, wx.ALL | wx.ALIGN_LEFT, 4)
ctrl_sizer.Add(self.abort_button, 0, wx.ALL | wx.ALIGN_LEFT, 4)
# Config fields
self.cfg_fields = {}
defaults = [("snippet_size", "2000"),
("pre_ratio", "0.3"),
("post_ratio", "0.7"),
("distance_match", "300"),
("fuzzy_threshold", "94")]
for label, val in defaults:
row = wx.BoxSizer(wx.HORIZONTAL)
lbl = wx.StaticText(panel, label=label + ":") # Update this line to include the new labels
if label == "snippet_size":
lbl.SetLabel("Snippet Size (chars):")
elif label == "pre_ratio":
lbl.SetLabel("Pre Ratio (%):")
elif label == "post_ratio":
lbl.SetLabel("Post Ratio (%):")
elif label == "distance_match":
lbl.SetLabel("Distance Match (chars):")
elif label == "fuzzy_threshold":
lbl.SetLabel("Fuzzy Threshold (%):")
fld = wx.TextCtrl(panel, value=val, size=(50, -1))
# Bind focus event for validation
fld.Bind(wx.EVT_KILL_FOCUS, self.on_field_focus_lost)
row.Add(lbl, 0, wx.ALL | wx.ALIGN_LEFT, 2)
row.Add(fld, 0, wx.ALL | wx.ALIGN_LEFT, 2)
ctrl_sizer.Add(row, 0, wx.ALL | wx.ALIGN_LEFT, 2)
self.cfg_fields[label] = fld
middle_sizer.Add(ctrl_sizer, 0, wx.ALL | wx.ALIGN_LEFT, 6)
# --- Right image panel 700x261 pixel
bmp = wx.Bitmap(resource_path("example.bmp"), wx.BITMAP_TYPE_BMP)
#bmp = wx.Bitmap("example.bmp", wx.BITMAP_TYPE_BMP)
# compute exact size
img_w = bmp.GetWidth()
img_h = bmp.GetHeight()
border = 1
border_panel = wx.Panel(panel, size=(img_w + 2*border, img_h + 2*border))
border_panel.SetBackgroundColour(wx.WHITE)
self.img_ctrl = wx.StaticBitmap(border_panel, bitmap=bmp)
s = wx.BoxSizer(wx.VERTICAL)
s.Add(self.img_ctrl, 0, wx.ALL | wx.ALIGN_CENTER, border)
border_panel.SetSizer(s)
middle_sizer.Add(border_panel, 0, wx.ALL | wx.ALIGN_LEFT, 6)
# Bottom: results (wildcard and fuzzy) across full width
result_sizer = wx.BoxSizer(wx.VERTICAL)
# Add the summary labels BEFORE the text controls
self.wildcard_summary_label = wx.StaticText(panel, label="Wildcard Results:")
result_sizer.Add(self.wildcard_summary_label, 0, wx.ALL | wx.ALIGN_LEFT, 2)
self.wildcard_box = wx.TextCtrl(panel, style=wx.TE_MULTILINE | wx.TE_READONLY, size=(-1, 220))
result_sizer.Add(self.wildcard_box, 1, wx.EXPAND | wx.ALL, 4)
self.fuzzy_summary_label = wx.StaticText(panel, label="Fuzzy Results:")
result_sizer.Add(self.fuzzy_summary_label, 0, wx.ALL | wx.ALIGN_LEFT, 2)
self.fuzzy_box = wx.TextCtrl(panel, style=wx.TE_MULTILINE | wx.TE_READONLY, size=(-1, 220))
result_sizer.Add(self.fuzzy_box, 1, wx.EXPAND | wx.ALL, 4)
# Main vertical layout using only horizontal alignment flags where appropriate
main_sizer = wx.BoxSizer(wx.VERTICAL)
main_sizer.Add(top_sizer, 0, wx.ALL | wx.ALIGN_LEFT, 6)
main_sizer.Add(middle_sizer, 0, wx.ALL | wx.ALIGN_LEFT, 6)
main_sizer.Add(result_sizer, 1, wx.EXPAND | wx.ALL, 6)
panel.SetSizer(main_sizer)
# Events
self.file_picker.Bind(wx.EVT_FILEPICKER_CHANGED, self.on_path_change)
self.dir_picker.Bind(wx.EVT_DIRPICKER_CHANGED, self.on_path_change)
# Thread controls
self.worker = None
self.stop_event = threading.Event()
def on_field_focus_lost(self, evt):
"""Validate all fields when any field loses focus"""
self.validate_all_fields()
evt.Skip() # Allow normal processing to continue
def validate_all_fields(self):
"""Validate all configuration fields and enforce dependencies"""
try:
# Get current values
snippet_size_val = self.cfg_fields["snippet_size"].GetValue().strip()
pre_ratio_val = self.cfg_fields["pre_ratio"].GetValue().strip()
post_ratio_val = self.cfg_fields["post_ratio"].GetValue().strip()
distance_match_val = self.cfg_fields["distance_match"].GetValue().strip()
fuzzy_threshold_val = self.cfg_fields["fuzzy_threshold"].GetValue().strip()
# Default values if empty
snippet_size_val = snippet_size_val if snippet_size_val else "2000"
pre_ratio_val = pre_ratio_val if pre_ratio_val else "0.3"
post_ratio_val = post_ratio_val if post_ratio_val else "0.7"
distance_match_val = distance_match_val if distance_match_val else "300"
fuzzy_threshold_val = fuzzy_threshold_val if fuzzy_threshold_val else "94"
# Validate and process each field
# snippet_size: min=0, max=999999, round to integer
snippet_size = int(float(snippet_size_val)) if snippet_size_val else 2000
snippet_size = max(0, min(999999, snippet_size))
# pre_ratio: min=0.1, max=0.9, 1 decimal place
pre_ratio = round(float(pre_ratio_val), 1) if pre_ratio_val else 0.3
pre_ratio = max(0.1, min(0.9, pre_ratio))
# post_ratio: min=0.1, max=0.9, 1 decimal place
post_ratio = round(float(post_ratio_val), 1) if post_ratio_val else 0.7
post_ratio = max(0.1, min(0.9, post_ratio))
# Ensure pre + post = 1 (adjust one to maintain sum)
total = pre_ratio + post_ratio
if abs(total - 1.0) > 0.001: # Allow small floating point differences
# Adjust post_ratio to make the sum equal to 1.0
post_ratio = round(1.0 - pre_ratio, 1)
self.cfg_fields["post_ratio"].SetValue(str(post_ratio))
# distance_match: min=0, max=snippet_size, round to integer
distance_match = int(float(distance_match_val)) if distance_match_val else 300
distance_match = max(0, min(snippet_size, distance_match))
# If snippet_size < distance_match, adjust snippet_size to match
if snippet_size < distance_match:
snippet_size = distance_match
self.cfg_fields["snippet_size"].SetValue(str(snippet_size))
# fuzzy_threshold: min=1, max=100, round to integer
fuzzy_threshold = int(float(fuzzy_threshold_val)) if fuzzy_threshold_val else 94
fuzzy_threshold = max(1, min(100, fuzzy_threshold))
# Apply validated values back to fields
self.cfg_fields["snippet_size"].SetValue(str(snippet_size))
self.cfg_fields["pre_ratio"].SetValue(str(pre_ratio))
self.cfg_fields["post_ratio"].SetValue(str(post_ratio))
self.cfg_fields["distance_match"].SetValue(str(distance_match))
self.cfg_fields["fuzzy_threshold"].SetValue(str(fuzzy_threshold))
except Exception as e:
# If validation fails, show error but don't block the user
wx.MessageBox(f"Validation Error: {str(e)}", "Error")
def on_path_change(self, evt):
path = evt.GetPath()
self.path_label.SetLabel(path)
def on_toggle(self, evt):
btn = evt.GetEventObject()
label = btn.GetLabel()
if label == "AND":
btn.SetLabel("OR")
else:
btn.SetLabel("AND")
def on_abort(self, evt):
"""Abort button now properly stops all processes"""
if self.worker and self.worker.is_alive():
# Set the stop event to signal all running operations to abort
self.stop_event.set()
# Disable buttons immediately
self.abort_button.Disable()
self.start_button.Enable()
# Clear any text that might have been set during processing
wx.CallAfter(self.wildcard_box.SetValue, "Aborting...")
wx.CallAfter(self.fuzzy_box.SetValue, "Aborting...")
def on_start(self, evt):
# get path
path = self.path_label.GetLabel()
if not path or path == "No file/folder selected":
wx.MessageBox("Please select a file or folder first.", "Error")
return
try:
if os.path.isdir(path):
txts = [str(Path(path) / f) for f in sorted(os.listdir(path))
if f.lower().endswith(".txt") and os.path.isfile(os.path.join(path, f))]
if not txts:
wx.MessageBox("Selected folder contains no .txt files.", "Error")
return
paths = txts
else:
if not os.path.isfile(path):
wx.MessageBox("Selected path is not a file.", "Error")
return
# Only allow .txt files - this validation was missing before
if not path.lower().endswith(".txt"):
wx.MessageBox("Please select a .txt file.", "Error")
return
paths = [path]
except Exception as e:
wx.MessageBox(f"Failed to access path: {str(e)}", "Error")
return
# prepare config
try:
cfg = {
"snippet_size": int(self.cfg_fields["snippet_size"].GetValue().strip()),
"pre_ratio": float(self.cfg_fields["pre_ratio"].GetValue().strip()),
"post_ratio": float(self.cfg_fields["post_ratio"].GetValue().strip()),
"distance_match": int(self.cfg_fields["distance_match"].GetValue().strip()),
"fuzzy_threshold": float(self.cfg_fields["fuzzy_threshold"].GetValue().strip()),
}
except Exception:
wx.MessageBox("Please check numeric configuration values.", "Error")
return
buzzwords_list = [t.GetValue().strip() for t in self.buzz_inputs]
search_type_value = "AND" if self.toggle_buttons[0].GetLabel() == "AND" else "OR"
cfg["buzzwords"] = buzzwords_list
cfg["search_type"] = search_type_value
# UI state
self.start_button.Disable()
self.abort_button.Enable()
self.wildcard_box.SetValue("Running...")
self.fuzzy_box.SetValue("Running...")
# reset stop_event and start thread
self.stop_event.clear()
# Overwrite output files at the beginning of each new search
Path("output_snippets.txt").write_text("", encoding="utf-8", errors="surrogateescape")
Path("output_fuzzy_snippets.txt").write_text("", encoding="utf-8", errors="surrogateescape")
self.worker = SearchThread(paths, cfg, self.stop_event, self.on_search_complete)
self.worker.start()
def on_search_complete(self, wildcard_text, fuzzy_text, finished_ok):
# This callback runs in worker thread; must marshal to main GUI thread
def _update():
if finished_ok:
self.wildcard_box.SetValue(wildcard_text)
self.fuzzy_box.SetValue(fuzzy_text)
# Append results to output files for each processed file
Path("output_snippets.txt").write_text(wildcard_text, encoding="utf-8", errors="surrogateescape")
Path("output_fuzzy_snippets.txt").write_text(fuzzy_text, encoding="utf-8", errors="surrogateescape")
else:
# signals either error or aborted
self.wildcard_box.SetValue(wildcard_text or "Aborted / Error")
self.fuzzy_box.SetValue(fuzzy_text or "Aborted / Error")
self.stop_event.clear()
self.start_button.Enable()
self.abort_button.Disable()
wx.CallAfter(_update)
def on_browse_file(self, evt):
with wx.FileDialog(self, "Open Text File", wildcard="Text files (*.txt)|*.txt",
style=wx.FD_OPEN | wx.FD_FILE_MUST_EXIST) as fileDialog:
if fileDialog.ShowModal() == wx.ID_CANCEL:
return
path = fileDialog.GetPath()
self.path_label.SetLabel(path)
def on_browse_dir(self, evt):
with wx.DirDialog(self, "Choose a directory", style=wx.DD_DEFAULT_STYLE | wx.DD_DIR_MUST_EXIST) as dirDialog:
if dirDialog.ShowModal() == wx.ID_CANCEL:
return
path = dirDialog.GetPath()
self.path_label.SetLabel(path)
if __name__ == "__main__":
app = wx.App(False)
frame = MainFrame()
frame.Show()
app.MainLoop()
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