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| import os | |
| import fitz | |
| from llama_parse import LlamaParse | |
| from server.logger.logger_config import my_logger as logger | |
| from server.rag.index.parser.file_loader.pymupdf_rag import to_markdown | |
| USE_LLAMA_PARSE = int(os.getenv('USE_LLAMA_PARSE')) | |
| LLAMA_CLOUD_API_KEY = os.getenv('LLAMA_CLOUD_API_KEY') | |
| class AsyncPdfLoader: | |
| def __init__(self, file_path: str) -> None: | |
| logger.info(f"[FILE LOADER] init pdf, 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: | |
| with fitz.open(self.file_path) as doc: | |
| content = to_markdown(doc) | |
| 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 '' | |