""" 用户输入: model数组,每个元素代表一个页面 pdf在s3的路径 截图保存的s3位置 然后: 1)根据s3路径,调用spark集群的api,拿到ak,sk,endpoint,构造出s3PDFReader 2)根据用户输入的s3地址,调用spark集群的api,拿到ak,sk,endpoint,构造出s3ImageWriter 其余部分至于构造s3cli, 获取ak,sk都在code-clean里写代码完成。不要反向依赖!!! """ from loguru import logger from magic_pdf.rw import AbsReaderWriter from magic_pdf.pdf_parse_by_ocr_v2 import parse_pdf_by_ocr from magic_pdf.pdf_parse_by_txt_v2 import parse_pdf_by_txt PARSE_TYPE_TXT = "txt" PARSE_TYPE_OCR = "ocr" def parse_txt_pdf(pdf_bytes: bytes, pdf_models: list, imageWriter: AbsReaderWriter, is_debug=False, start_page=0, *args, **kwargs): """ 解析文本类pdf """ pdf_info_dict = parse_pdf_by_txt( pdf_bytes, pdf_models, imageWriter, start_page_id=start_page, debug_mode=is_debug, ) pdf_info_dict["_parse_type"] = PARSE_TYPE_TXT return pdf_info_dict def parse_ocr_pdf(pdf_bytes: bytes, pdf_models: list, imageWriter: AbsReaderWriter, is_debug=False, start_page=0, *args, **kwargs): """ 解析ocr类pdf """ pdf_info_dict = parse_pdf_by_ocr( pdf_bytes, pdf_models, imageWriter, start_page_id=start_page, debug_mode=is_debug, ) pdf_info_dict["_parse_type"] = PARSE_TYPE_OCR return pdf_info_dict def parse_union_pdf(pdf_bytes: bytes, pdf_models: list, imageWriter: AbsReaderWriter, is_debug=False, start_page=0, *args, **kwargs): """ ocr和文本混合的pdf,全部解析出来 """ def parse_pdf(method): try: return method( pdf_bytes, pdf_models, imageWriter, start_page_id=start_page, debug_mode=is_debug, ) except Exception as e: logger.exception(e) return None pdf_info_dict = parse_pdf(parse_pdf_by_txt) if pdf_info_dict is None or pdf_info_dict.get("_need_drop", False): logger.warning(f"parse_pdf_by_txt drop or error, switch to parse_pdf_by_ocr") pdf_info_dict = parse_pdf(parse_pdf_by_ocr) if pdf_info_dict is None: raise Exception("Both parse_pdf_by_txt and parse_pdf_by_ocr failed.") else: pdf_info_dict["_parse_type"] = PARSE_TYPE_OCR else: pdf_info_dict["_parse_type"] = PARSE_TYPE_TXT return pdf_info_dict