支持在不进行本地编译的情况下计算文本数量

script/utils/count_tex_words.py

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+import os
+import re
+import argparse
+from pathlib import Path
+
+def clean_tex_content(content):
+    """
+    Remove LaTeX commands and comments to extract countable text.
+    """
+    # 1. Remove comments
+    content = re.sub(r'%.*', '', content)
+
+    # 2. Remove specific environments that shouldn't be counted
+    content = re.sub(r'\\\[.*?\\\]', '', content, flags=re.DOTALL)
+    content = re.sub(r'\$\$.*?\$\$', '', content, flags=re.DOTALL)
+    content = re.sub(r'\$.*?\$', '', content)
+
+    # 3. Remove commands
+    ignored_commands = [
+        'cite', 'ref', 'label', 'usepackage', 'input', 'include', 
+        'bibliography', 'bibliographystyle', 'documentclass', 'pagestyle',
+        'thispagestyle', 'vskip', 'vspace', 'hspace', 'setlength', 'setcounter'
+    ]
+    for cmd in ignored_commands:
+        content = re.sub(r'\\' + cmd + r'\{[^}]*\}', '', content)
+
+    content = re.sub(r'\\[a-zA-Z]+', ' ', content)
+    content = content.replace('{', ' ').replace('}', ' ')
+
+    return content
+
+def count_words_in_content(content):
+    cleaned_content = clean_tex_content(content)
+
+    # Count Chinese characters
+    chinese_chars = re.findall(r'[\u4e00-\u9fff]', cleaned_content)
+    num_chinese = len(chinese_chars)
+
+    # Count English words
+    content_no_chinese = re.sub(r'[\u4e00-\u9fff]', ' ', cleaned_content)
+    content_no_punct = re.sub(r'[^\w\s]', '', content_no_chinese)
+    english_words = content_no_punct.split()
+    num_english = len(english_words)
+
+    return num_chinese, num_english
+
+def resolve_path(base_path, input_path):
+    """
+    Resolve the input path relative to the project root or base path.
+    """
+    # Handle missing extension
+    if not input_path.endswith('.tex'):
+        input_path += '.tex'
+
+    # 1. Check if it exists relative to CWD (Project Root)
+    p_cwd = Path(input_path)
+    if p_cwd.exists():
+        return p_cwd
+
+    # 2. Check if it exists relative to the parent file
+    if base_path:
+        p_rel = base_path.parent / input_path
+        if p_rel.exists():
+            return p_rel
+
+    return p_cwd # Return the path even if it doesn't exist, to report error later
+
+def process_file(file_path, processed_files):
+    """
+    Recursively process a file and its inputs, returning a tree structure.
+    """
+    file_path = Path(file_path)
+    resolved_path = file_path.resolve()
+
+    # Avoid infinite loops
+    if resolved_path in processed_files:
+        return None
+
+    if not file_path.exists():
+        return {'path': str(file_path), 'cn': 0, 'en': 0, 'total': 0, 'error': 'File not found', 'children': []}
+
+    processed_files.add(resolved_path)
+
+    try:
+        with open(file_path, 'r', encoding='utf-8') as f:
+            content = f.read()
+    except Exception as e:
+        return {'path': str(file_path), 'cn': 0, 'en': 0, 'total': 0, 'error': str(e), 'children': []}
+
+    # Find inputs BEFORE cleaning
+    content_no_comments = re.sub(r'%.*', '', content)
+    inputs = re.findall(r'\\(?:input|include)\{([^}]+)\}', content_no_comments)
+
+    # Count in current file
+    cn, en = count_words_in_content(content)
+
+    node = {
+        'path': str(file_path),
+        'cn': cn,
+        'en': en,
+        'total': cn + en,
+        'children': []
+    }
+
+    # Process inputs
+    for inp in inputs:
+        child_path = resolve_path(file_path, inp)
+        child_node = process_file(child_path, processed_files)
+        if child_node:
+            node['children'].append(child_node)
+
+    return node
+
+def print_tree(node, prefix="", is_last=True, current_depth=0, max_depth=None):
+    if not node:
+        return
+
+    # Prepare the line to print
+    connector = "└── " if is_last else "├── "
+
+    # Calculate stats string
+    stats = f"(CN: {node['cn']}, EN: {node['en']}, Total: {node['total']})"
+    if 'error' in node:
+        stats += f" [Error: {node['error']}]"
+
+    print(f"{prefix}{connector}{node['path']} {stats}")
+
+    # Check depth limit
+    if max_depth is not None and current_depth >= max_depth:
+        return
+
+    # Prepare prefix for children
+    child_prefix = prefix + ("    " if is_last else "│   ")
+
+    # Print children
+    children = node['children']
+    for i, child in enumerate(children):
+        print_tree(child, child_prefix, i == len(children) - 1, current_depth + 1, max_depth)
+
+def calculate_total_stats(node):
+    """
+    Calculate total stats for the tree recursively.
+    """
+    total_cn = node['cn']
+    total_en = node['en']
+
+    for child in node['children']:
+        c_cn, c_en = calculate_total_stats(child)
+        total_cn += c_cn
+        total_en += c_en
+
+    return total_cn, total_en
+
+def main():
+    parser = argparse.ArgumentParser(description="Count words in LaTeX project.")
+    parser.add_argument('root_file', nargs='?', default='body/graduate/content.tex', help="Root TeX file to start counting from.")
+    parser.add_argument('--max-depth', type=int, default=None, help="Maximum depth of the tree to display.")
+    args = parser.parse_args()
+
+    root_file = Path(args.root_file)
+
+    if not root_file.exists():
+        # Try prepending body/graduate if user just gave filename
+        alt_path = Path('body/graduate') / root_file
+        if alt_path.exists():
+            root_file = alt_path
+        else:
+            print(f"Error: Root file {root_file} not found.")
+            return
+
+    processed_files = set()
+    root_node = process_file(root_file, processed_files)
+
+    print("Word Count Tree Structure:")
+    # Special handling for root to avoid the connector
+    stats = f"(CN: {root_node['cn']}, EN: {root_node['en']}, Total: {root_node['total']})"
+    print(f"{root_node['path']} {stats}")
+
+    children = root_node['children']
+    for i, child in enumerate(children):
+        print_tree(child, "", i == len(children) - 1, current_depth=1, max_depth=args.max_depth)
+
+    total_cn, total_en = calculate_total_stats(root_node)
+    print("-" * 60)
+    print(f"GRAND TOTAL: CN: {total_cn}, EN: {total_en}, Total: {total_cn + total_en}")
+
+if __name__ == "__main__":
+    main()