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| import os | |
| import html2text | |
| from llama_parse import LlamaParse | |
| import mammoth | |
| from server.logger.logger_config import my_logger as logger | |
| USE_LLAMA_PARSE = int(os.getenv('USE_LLAMA_PARSE')) | |
| LLAMA_CLOUD_API_KEY = os.getenv('LLAMA_CLOUD_API_KEY') | |
| class AsyncDocxLoader: | |
| def __init__(self, file_path: str) -> None: | |
| logger.info(f"[FILE LOADER] init docx, file_path: '{file_path}'") | |
| self.file_path = file_path | |
| async def get_content(self) -> str: | |
| try: | |
| content = '' | |
| if USE_LLAMA_PARSE: | |
| parser = LlamaParse( | |
| api_key=LLAMA_CLOUD_API_KEY, | |
| result_type="markdown", | |
| ) | |
| text_vec = [] | |
| import nest_asyncio | |
| nest_asyncio.apply() | |
| documents = parser.load_data(self.file_path) | |
| for doc in documents: | |
| text_vec.append(doc.text) | |
| content = "\n\n".join(text_vec) | |
| else: | |
| html_text = '' | |
| with open(self.file_path, 'rb') as fd: | |
| result = mammoth.convert_to_html(fd) | |
| html_text = result.value | |
| messages = result.messages | |
| if messages: | |
| logger.warning( | |
| f"Read file_path: '{self.file_path}', messages: {messages}" | |
| ) | |
| if html_text: | |
| # Create an html2text converter | |
| h = html2text.HTML2Text() | |
| h.ignore_images = True | |
| content = h.handle(html_text) | |
| else: | |
| logger.warning( | |
| f"file_path: '{self.file_path}', convert_to_html is empty!" | |
| ) | |
| if not content: | |
| logger.warning(f"file_path: '{self.file_path}' is empty!") | |
| return content | |
| except Exception as e: | |
| logger.error(f"get_content is failed, exception: {e}") | |
| return '' | |