mirror of
https://github.com/Hommy-master/capcut-mate.git
synced 2026-09-03 06:25:40 +08:00
141 lines
4.3 KiB
Python
141 lines
4.3 KiB
Python
"""
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从 data.ts 文件提取所有花字效果并生成 Python 映射表
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"""
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import re
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import json
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def extract_text_effects_from_data_ts(file_path: str) -> dict:
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"""
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从 data.ts 文件中提取所有花字效果
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Args:
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file_path: data.ts 文件路径
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Returns:
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花字效果映射字典 {title: {"effect_id": ..., "resource_id": ..., "is_vip": ...}}
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"""
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with open(file_path, 'r', encoding='utf-8') as f:
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content = f.read()
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# 使用正则表达式匹配所有花字对象
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# 匹配 common_attr 块
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pattern = r'common_attr:\s*\{([^}]+(?:\{[^}]*\}[^}]*)*)\}'
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text_effects = {}
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for match in re.finditer(pattern, content, re.DOTALL):
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block = match.group(1)
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# 提取 effect_id
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effect_id_match = re.search(r'effect_id:\s*["\'](\d+)["\']', block)
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if not effect_id_match:
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continue
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effect_id = effect_id_match.group(1)
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# 提取 title
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title_match = re.search(r'title:\s*["\']([^"\']+)["\']', block)
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if not title_match:
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continue
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title = title_match.group(1)
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# 提取 is_vip 信息 (从 business_info.json_str 中)
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is_vip = False
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json_str_match = re.search(r'json_str:\s*["\']({[^}]+})["\']', block)
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if json_str_match:
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try:
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business_info = json.loads(json_str_match.group(1).replace('\\"', '"'))
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is_vip = business_info.get('is_vip', False)
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except:
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pass
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# 添加到字典
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text_effects[title] = {
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"resource_id": effect_id,
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"effect_id": effect_id,
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"name": title,
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"is_vip": is_vip
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}
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return text_effects
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def generate_python_mapping(text_effects: dict) -> str:
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"""
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生成 Python 格式的映射表代码
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Args:
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text_effects: 花字效果字典
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Returns:
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Python 代码字符串
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"""
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code_lines = [
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"# 从 data.ts 自动生成的花字效果映射表",
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"# 格式：{effect_name: {\"resource_id\": \"...\", \"effect_id\": \"...\", \"name\": \"...\", \"is_vip\": ...}}",
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"TEXT_EFFECT_MAP = {",
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]
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# 按名称排序
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sorted_effects = sorted(text_effects.items(), key=lambda x: x[0])
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for i, (name, data) in enumerate(sorted_effects):
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is_last = i == len(sorted_effects) - 1
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comma = "," if not is_last else ""
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code_lines.append(f' "{name}": {{')
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code_lines.append(f' "resource_id": "{data["resource_id"]}",')
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code_lines.append(f' "effect_id": "{data["effect_id"]}",')
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code_lines.append(f' "name": "{data["name"]}",')
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code_lines.append(f' "is_vip": {data["is_vip"]}') # Use Python boolean directly
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code_lines.append(f" }}{comma}")
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code_lines.append("}")
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return "\n".join(code_lines)
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def main():
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# 读取 data.ts 文件
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data_file = "d:\\code\\GitHub\\capcut-mate\\data.ts"
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print("=" * 60)
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print("开始从 data.ts 提取花字效果...")
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print("=" * 60)
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# 提取花字效果
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text_effects = extract_text_effects_from_data_ts(data_file)
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print(f"\n成功提取 {len(text_effects)} 个花字效果")
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# 显示前 20 个效果
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print("\n前 20 个花字效果:")
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for i, (name, data) in enumerate(list(text_effects.items())[:20]):
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vip_tag = " [VIP]" if data["is_vip"] else ""
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print(f" {i+1}. {name}{vip_tag} (ID: {data['effect_id']})")
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# 统计 VIP 和免费数量
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vip_count = sum(1 for data in text_effects.values() if data["is_vip"])
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free_count = len(text_effects) - vip_count
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print(f"\nVIP 效果数量：{vip_count}")
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print(f"免费效果数量：{free_count}")
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# 生成 Python 映射代码
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print("\n生成 Python 映射代码...")
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python_code = generate_python_mapping(text_effects)
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# 保存到文件
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output_file = "d:\\code\\GitHub\\capcut-mate\\text_effect_map_generated.py"
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with open(output_file, 'w', encoding='utf-8') as f:
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f.write(python_code)
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print(f"\n映射表已保存到：{output_file}")
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print("=" * 60)
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return text_effects
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if __name__ == "__main__":
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main()
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