# coding=utf8 import sys import time from urllib.parse import quote from magic_pdf.libs.commons import read_file, join_path, parse_bucket_key, formatted_time from magic_pdf.libs.drop_reason import DropReason from magic_pdf.libs.json_compressor import JsonCompressor from magic_pdf.dict2md.mkcontent import mk_nlp_markdown from magic_pdf.pdf_parse_by_model import parse_pdf_by_model from magic_pdf.filter.pdf_classify_by_type import classify from magic_pdf.filter.pdf_meta_scan import pdf_meta_scan from loguru import logger from app.common.s3 import get_s3_config, get_s3_client def exception_handler(jso: dict, e): logger.exception(e) jso['need_drop'] = True jso['drop_reason'] = DropReason.Exception jso['exception'] = f"ERROR: {e}" return jso def meta_scan(jso: dict, doc_layout_check=True) -> dict: s3_pdf_path = jso.get('file_location') s3_config = get_s3_config(s3_pdf_path) if doc_layout_check: if 'doc_layout_result' not in jso: # 检测json中是存在模型数据,如果没有则需要跳过该pdf jso['need_drop'] = True jso['drop_reason'] = DropReason.MISS_DOC_LAYOUT_RESULT return jso try: data_source = jso.get('data_source') file_id = jso.get('file_id') book_name = data_source + "/" + file_id # 首页存在超量drawing问题 # special_pdf_list = ['zlib/zlib_21822650'] # if book_name in special_pdf_list: # jso['need_drop'] = True # jso['drop_reason'] = DropReason.SPECIAL_PDF # return jso start_time = time.time() # 记录开始时间 logger.info(f"book_name is:{book_name},start_time is:{formatted_time(start_time)}", file=sys.stderr) file_content = read_file(s3_pdf_path, s3_config) read_file_time = int(time.time() - start_time) # 计算执行时间 start_time = time.time() # 记录开始时间 res = pdf_meta_scan(s3_pdf_path, file_content) if res.get('need_drop', False): # 如果返回的字典里有need_drop,则提取drop_reason并跳过本次解析 jso['need_drop'] = True jso['drop_reason'] = res["drop_reason"] else: # 正常返回 jso['pdf_meta'] = res jso['content'] = "" jso['remark'] = "" jso['data_url'] = "" end_time = time.time() # 记录结束时间 meta_scan_time = int(end_time - start_time) # 计算执行时间 logger.info(f"book_name is:{book_name},end_time is:{formatted_time(end_time)},read_file_time is:{read_file_time},meta_scan_time is:{meta_scan_time}", file=sys.stderr) jso['read_file_time'] = read_file_time jso['meta_scan_time'] = meta_scan_time except Exception as e: jso = exception_handler(jso, e) return jso def classify_by_type(jso: dict, debug_mode=False) -> dict: #检测debug开关 if debug_mode: pass else:# 如果debug没开,则检测是否有needdrop字段 if jso.get('need_drop', False): return jso # 开始正式逻辑 try: pdf_meta = jso.get('pdf_meta') data_source = jso.get('data_source') file_id = jso.get('file_id') book_name = data_source + "/" + file_id total_page = pdf_meta["total_page"] page_width = pdf_meta["page_width_pts"] page_height = pdf_meta["page_height_pts"] img_sz_list = pdf_meta["image_info_per_page"] img_num_list = pdf_meta['imgs_per_page'] text_len_list = pdf_meta['text_len_per_page'] text_layout_list = pdf_meta['text_layout_per_page'] text_language = pdf_meta['text_language'] # allow_language = ['zh', 'en'] # 允许的语言,目前只允许简中和英文的 # if text_language not in allow_language: # 如果语言不在允许的语言中,则drop # jso['need_drop'] = True # jso['drop_reason'] = DropReason.NOT_ALLOW_LANGUAGE # return jso pdf_path = pdf_meta['pdf_path'] is_encrypted = pdf_meta['is_encrypted'] is_needs_password = pdf_meta['is_needs_password'] if is_encrypted or is_needs_password: # 加密的,需要密码的,没有页面的,都不处理 jso['need_drop'] = True jso['drop_reason'] = DropReason.ENCRYPTED else: start_time = time.time() # 记录开始时间 is_text_pdf, results = classify(pdf_path, total_page, page_width, page_height, img_sz_list, text_len_list, img_num_list, text_layout_list) classify_time = int(time.time() - start_time) # 计算执行时间 if is_text_pdf: pdf_meta['is_text_pdf'] = is_text_pdf jso['pdf_meta'] = pdf_meta jso['classify_time'] = classify_time # print(json.dumps(pdf_meta, ensure_ascii=False)) allow_language = ['zh', 'en'] # 允许的语言,目前只允许简中和英文的 if text_language not in allow_language: # 如果语言不在允许的语言中,则drop jso['need_drop'] = True jso['drop_reason'] = DropReason.NOT_ALLOW_LANGUAGE return jso else: # 先不drop pdf_meta['is_text_pdf'] = is_text_pdf jso['pdf_meta'] = pdf_meta jso['classify_time'] = classify_time jso['need_drop'] = True jso['drop_reason'] = DropReason.NOT_IS_TEXT_PDF extra_info = {"classify_rules": []} for condition, result in results.items(): if not result: extra_info["classify_rules"].append(condition) jso['extra_info'] = extra_info except Exception as e: jso = exception_handler(jso, e) return jso def save_tables_to_s3(jso: dict, debug_mode=False) -> dict: if debug_mode: pass else:# 如果debug没开,则检测是否有needdrop字段 if jso.get('need_drop', False): logger.info(f"book_name is:{jso['data_source']}/{jso['file_id']} need drop", file=sys.stderr) jso["dropped"] = True return jso try: data_source = jso.get('data_source') file_id = jso.get('file_id') book_name = data_source + "/" + file_id title = jso.get('title') url_encode_title = quote(title, safe='') if data_source != 'scihub': return jso pdf_intermediate_dict = jso['pdf_intermediate_dict'] # 将 pdf_intermediate_dict 解压 pdf_intermediate_dict = JsonCompressor.decompress_json(pdf_intermediate_dict) i = 0 for page in pdf_intermediate_dict.values(): if page.get('tables'): if len(page['tables']) > 0: j = 0 for table in page['tables']: if debug_mode: image_path = join_path("s3://mllm-raw-media/pdf2md_img/", book_name, table['image_path']) else: image_path = join_path("s3://mllm-raw-media/pdf2md_img/", table['image_path']) if image_path.endswith('.jpg'): j += 1 s3_client = get_s3_client(image_path) bucket_name, bucket_key = parse_bucket_key(image_path) # 通过s3_client获取图片到内存 image_bytes = s3_client.get_object(Bucket=bucket_name, Key=bucket_key)['Body'].read() # 保存图片到新的位置 if debug_mode: new_image_path = join_path("s3://mllm-raw-media/pdf2md_img/table_new/", url_encode_title + "_" + table['image_path'].lstrip('tables/')) else: new_image_path = join_path("s3://mllm-raw-media/pdf2md_img/table_new/", url_encode_title + f"_page{i}_{j}.jpg") logger.info(new_image_path, file=sys.stderr) bucket_name, bucket_key = parse_bucket_key(new_image_path) s3_client.put_object(Bucket=bucket_name, Key=bucket_key, Body=image_bytes) else: continue i += 1 # 把无用的信息清空 jso["doc_layout_result"] = "" jso["pdf_intermediate_dict"] = "" jso["pdf_meta"] = "" except Exception as e: jso = exception_handler(jso, e) return jso def drop_needdrop_pdf(jso: dict) -> dict: if jso.get('need_drop', False): logger.info(f"book_name is:{jso['data_source']}/{jso['file_id']} need drop", file=sys.stderr) jso["dropped"] = True return jso def pdf_intermediate_dict_to_markdown(jso: dict, debug_mode=False) -> dict: if debug_mode: pass else:# 如果debug没开,则检测是否有needdrop字段 if jso.get('need_drop', False): book_name = join_path(jso['data_source'], jso['file_id']) logger.info(f"book_name is:{book_name} need drop", file=sys.stderr) jso["dropped"] = True return jso try: pdf_intermediate_dict = jso['pdf_intermediate_dict'] # 将 pdf_intermediate_dict 解压 pdf_intermediate_dict = JsonCompressor.decompress_json(pdf_intermediate_dict) markdown_content = mk_nlp_markdown(pdf_intermediate_dict) jso["content"] = markdown_content logger.info(f"book_name is:{jso['data_source']}/{jso['file_id']},markdown content length is {len(markdown_content)}", file=sys.stderr) # 把无用的信息清空 jso["doc_layout_result"] = "" jso["pdf_intermediate_dict"] = "" jso["pdf_meta"] = "" except Exception as e: jso = exception_handler(jso, e) return jso def parse_pdf(jso: dict, start_page_id=0, debug_mode=False) -> dict: #检测debug开关 if debug_mode: pass else:# 如果debug没开,则检测是否有needdrop字段 if jso.get('need_drop', False): return jso # 开始正式逻辑 s3_pdf_path = jso.get('file_location') s3_config = get_s3_config(s3_pdf_path) model_output_json_list = jso.get('doc_layout_result') data_source = jso.get('data_source') file_id = jso.get('file_id') book_name = data_source + "/" + file_id # 1.23.22已修复 # if debug_mode: # pass # else: # if book_name == "zlib/zlib_21929367": # jso['need_drop'] = True # jso['drop_reason'] = DropReason.SPECIAL_PDF # return jso junk_img_bojids = jso['pdf_meta']['junk_img_bojids'] # total_page = jso['pdf_meta']['total_page'] # 增加检测 max_svgs 数量的检测逻辑,如果 max_svgs 超过3000则drop svgs_per_page_list = jso['pdf_meta']['svgs_per_page'] max_svgs = max(svgs_per_page_list) if max_svgs > 3000: jso['need_drop'] = True jso['drop_reason'] = DropReason.HIGH_COMPUTATIONAL_lOAD_BY_SVGS # elif total_page > 1000: # jso['need_drop'] = True # jso['drop_reason'] = DropReason.HIGH_COMPUTATIONAL_lOAD_BY_TOTAL_PAGES else: try: save_path = "s3://mllm-raw-media/pdf2md_img/" image_s3_config = get_s3_config(save_path) start_time = time.time() # 记录开始时间 # 先打印一下book_name和解析开始的时间 logger.info(f"book_name is:{book_name},start_time is:{formatted_time(start_time)}", file=sys.stderr) pdf_info_dict = parse_pdf_by_model(s3_pdf_path, s3_config, model_output_json_list, save_path, book_name, pdf_model_profile=None, image_s3_config=image_s3_config, start_page_id=start_page_id, junk_img_bojids=junk_img_bojids, debug_mode=debug_mode) if pdf_info_dict.get('need_drop', False): # 如果返回的字典里有need_drop,则提取drop_reason并跳过本次解析 jso['need_drop'] = True jso['drop_reason'] = pdf_info_dict["drop_reason"] else: # 正常返回,将 pdf_info_dict 压缩并存储 pdf_info_dict = JsonCompressor.compress_json(pdf_info_dict) jso['pdf_intermediate_dict'] = pdf_info_dict end_time = time.time() # 记录完成时间 parse_time = int(end_time - start_time) # 计算执行时间 # 解析完成后打印一下book_name和耗时 logger.info(f"book_name is:{book_name},end_time is:{formatted_time(end_time)},cost_time is:{parse_time}", file=sys.stderr) jso['parse_time'] = parse_time except Exception as e: jso = exception_handler(jso, e) return jso if __name__ == "__main__": pass