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目录重构
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294
magic_pdf/pipeline.py
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294
magic_pdf/pipeline.py
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# coding=utf8
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import sys
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import time
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from urllib.parse import quote
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from magic_pdf.libs.commons import read_file, join_path, parse_bucket_key, formatted_time
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from magic_pdf.libs.drop_reason import DropReason
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from magic_pdf.libs.json_compressor import JsonCompressor
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from magic_pdf.dict2md.mkcontent import mk_nlp_markdown
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from magic_pdf.pdf_parse_by_model import parse_pdf_by_model
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from magic_pdf.filter.pdf_classify_by_type import classify
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from magic_pdf.filter.pdf_meta_scan import pdf_meta_scan
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from loguru import logger
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from app.common.s3 import get_s3_config, get_s3_client
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def exception_handler(jso: dict, e):
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logger.exception(e)
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jso['need_drop'] = True
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jso['drop_reason'] = DropReason.Exception
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jso['exception'] = f"ERROR: {e}"
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return jso
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def meta_scan(jso: dict, doc_layout_check=True) -> dict:
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s3_pdf_path = jso.get('file_location')
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s3_config = get_s3_config(s3_pdf_path)
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if doc_layout_check:
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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
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jso['need_drop'] = True
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jso['drop_reason'] = DropReason.MISS_DOC_LAYOUT_RESULT
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return jso
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try:
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data_source = jso.get('data_source')
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file_id = jso.get('file_id')
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book_name = data_source + "/" + file_id
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# 首页存在超量drawing问题
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# special_pdf_list = ['zlib/zlib_21822650']
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# if book_name in special_pdf_list:
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# jso['need_drop'] = True
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# jso['drop_reason'] = DropReason.SPECIAL_PDF
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# return jso
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start_time = time.time() # 记录开始时间
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logger.info(f"book_name is:{book_name},start_time is:{formatted_time(start_time)}", file=sys.stderr)
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file_content = read_file(s3_pdf_path, s3_config)
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read_file_time = int(time.time() - start_time) # 计算执行时间
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start_time = time.time() # 记录开始时间
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res = pdf_meta_scan(s3_pdf_path, file_content)
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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
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jso['need_drop'] = True
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jso['drop_reason'] = res["drop_reason"]
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else: # 正常返回
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jso['pdf_meta'] = res
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jso['content'] = ""
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jso['remark'] = ""
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jso['data_url'] = ""
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end_time = time.time() # 记录结束时间
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meta_scan_time = int(end_time - start_time) # 计算执行时间
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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)
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jso['read_file_time'] = read_file_time
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jso['meta_scan_time'] = meta_scan_time
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except Exception as e:
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jso = exception_handler(jso, e)
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return jso
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def classify_by_type(jso: dict, debug_mode=False) -> dict:
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#检测debug开关
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if debug_mode:
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pass
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else:# 如果debug没开,则检测是否有needdrop字段
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if jso.get('need_drop', False):
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return jso
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# 开始正式逻辑
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try:
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pdf_meta = jso.get('pdf_meta')
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data_source = jso.get('data_source')
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file_id = jso.get('file_id')
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book_name = data_source + "/" + file_id
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total_page = pdf_meta["total_page"]
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page_width = pdf_meta["page_width_pts"]
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page_height = pdf_meta["page_height_pts"]
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img_sz_list = pdf_meta["image_info_per_page"]
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img_num_list = pdf_meta['imgs_per_page']
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text_len_list = pdf_meta['text_len_per_page']
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text_layout_list = pdf_meta['text_layout_per_page']
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text_language = pdf_meta['text_language']
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# allow_language = ['zh', 'en'] # 允许的语言,目前只允许简中和英文的
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# if text_language not in allow_language: # 如果语言不在允许的语言中,则drop
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# jso['need_drop'] = True
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# jso['drop_reason'] = DropReason.NOT_ALLOW_LANGUAGE
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# return jso
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pdf_path = pdf_meta['pdf_path']
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is_encrypted = pdf_meta['is_encrypted']
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is_needs_password = pdf_meta['is_needs_password']
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if is_encrypted or is_needs_password: # 加密的,需要密码的,没有页面的,都不处理
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jso['need_drop'] = True
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jso['drop_reason'] = DropReason.ENCRYPTED
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else:
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start_time = time.time() # 记录开始时间
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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)
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classify_time = int(time.time() - start_time) # 计算执行时间
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if is_text_pdf:
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pdf_meta['is_text_pdf'] = is_text_pdf
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jso['pdf_meta'] = pdf_meta
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jso['classify_time'] = classify_time
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# print(json.dumps(pdf_meta, ensure_ascii=False))
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allow_language = ['zh', 'en'] # 允许的语言,目前只允许简中和英文的
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if text_language not in allow_language: # 如果语言不在允许的语言中,则drop
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jso['need_drop'] = True
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jso['drop_reason'] = DropReason.NOT_ALLOW_LANGUAGE
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return jso
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else:
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# 先不drop
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pdf_meta['is_text_pdf'] = is_text_pdf
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jso['pdf_meta'] = pdf_meta
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jso['classify_time'] = classify_time
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jso['need_drop'] = True
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jso['drop_reason'] = DropReason.NOT_IS_TEXT_PDF
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extra_info = {"classify_rules": []}
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for condition, result in results.items():
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if not result:
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extra_info["classify_rules"].append(condition)
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jso['extra_info'] = extra_info
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except Exception as e:
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jso = exception_handler(jso, e)
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return jso
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def save_tables_to_s3(jso: dict, debug_mode=False) -> dict:
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if debug_mode:
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pass
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else:# 如果debug没开,则检测是否有needdrop字段
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if jso.get('need_drop', False):
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logger.info(f"book_name is:{jso['data_source']}/{jso['file_id']} need drop", file=sys.stderr)
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jso["dropped"] = True
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return jso
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try:
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data_source = jso.get('data_source')
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file_id = jso.get('file_id')
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book_name = data_source + "/" + file_id
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title = jso.get('title')
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url_encode_title = quote(title, safe='')
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if data_source != 'scihub':
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return jso
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pdf_intermediate_dict = jso['pdf_intermediate_dict']
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# 将 pdf_intermediate_dict 解压
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pdf_intermediate_dict = JsonCompressor.decompress_json(pdf_intermediate_dict)
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i = 0
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for page in pdf_intermediate_dict.values():
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if page.get('tables'):
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if len(page['tables']) > 0:
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j = 0
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for table in page['tables']:
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if debug_mode:
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image_path = join_path("s3://mllm-raw-media/pdf2md_img/", book_name, table['image_path'])
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else:
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image_path = join_path("s3://mllm-raw-media/pdf2md_img/", table['image_path'])
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if image_path.endswith('.jpg'):
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j += 1
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s3_client = get_s3_client(image_path)
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bucket_name, bucket_key = parse_bucket_key(image_path)
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# 通过s3_client获取图片到内存
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image_bytes = s3_client.get_object(Bucket=bucket_name, Key=bucket_key)['Body'].read()
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# 保存图片到新的位置
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if debug_mode:
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new_image_path = join_path("s3://mllm-raw-media/pdf2md_img/table_new/", url_encode_title + "_" + table['image_path'].lstrip('tables/'))
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else:
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new_image_path = join_path("s3://mllm-raw-media/pdf2md_img/table_new/", url_encode_title + f"_page{i}_{j}.jpg")
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logger.info(new_image_path, file=sys.stderr)
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bucket_name, bucket_key = parse_bucket_key(new_image_path)
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s3_client.put_object(Bucket=bucket_name, Key=bucket_key, Body=image_bytes)
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else:
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continue
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i += 1
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# 把无用的信息清空
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jso["doc_layout_result"] = ""
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jso["pdf_intermediate_dict"] = ""
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jso["pdf_meta"] = ""
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except Exception as e:
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jso = exception_handler(jso, e)
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return jso
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def drop_needdrop_pdf(jso: dict) -> dict:
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if jso.get('need_drop', False):
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logger.info(f"book_name is:{jso['data_source']}/{jso['file_id']} need drop", file=sys.stderr)
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jso["dropped"] = True
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return jso
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def pdf_intermediate_dict_to_markdown(jso: dict, debug_mode=False) -> dict:
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if debug_mode:
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pass
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else:# 如果debug没开,则检测是否有needdrop字段
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if jso.get('need_drop', False):
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book_name = join_path(jso['data_source'], jso['file_id'])
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logger.info(f"book_name is:{book_name} need drop", file=sys.stderr)
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jso["dropped"] = True
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return jso
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try:
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pdf_intermediate_dict = jso['pdf_intermediate_dict']
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# 将 pdf_intermediate_dict 解压
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pdf_intermediate_dict = JsonCompressor.decompress_json(pdf_intermediate_dict)
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markdown_content = mk_nlp_markdown(pdf_intermediate_dict)
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jso["content"] = markdown_content
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logger.info(f"book_name is:{jso['data_source']}/{jso['file_id']},markdown content length is {len(markdown_content)}", file=sys.stderr)
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# 把无用的信息清空
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jso["doc_layout_result"] = ""
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jso["pdf_intermediate_dict"] = ""
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jso["pdf_meta"] = ""
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except Exception as e:
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jso = exception_handler(jso, e)
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return jso
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def parse_pdf(jso: dict, start_page_id=0, debug_mode=False) -> dict:
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#检测debug开关
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if debug_mode:
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pass
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else:# 如果debug没开,则检测是否有needdrop字段
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if jso.get('need_drop', False):
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return jso
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# 开始正式逻辑
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s3_pdf_path = jso.get('file_location')
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s3_config = get_s3_config(s3_pdf_path)
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model_output_json_list = jso.get('doc_layout_result')
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data_source = jso.get('data_source')
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file_id = jso.get('file_id')
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book_name = data_source + "/" + file_id
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# 1.23.22已修复
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# if debug_mode:
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# pass
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# else:
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# if book_name == "zlib/zlib_21929367":
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# jso['need_drop'] = True
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# jso['drop_reason'] = DropReason.SPECIAL_PDF
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# return jso
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junk_img_bojids = jso['pdf_meta']['junk_img_bojids']
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# total_page = jso['pdf_meta']['total_page']
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# 增加检测 max_svgs 数量的检测逻辑,如果 max_svgs 超过3000则drop
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svgs_per_page_list = jso['pdf_meta']['svgs_per_page']
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max_svgs = max(svgs_per_page_list)
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if max_svgs > 3000:
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jso['need_drop'] = True
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jso['drop_reason'] = DropReason.HIGH_COMPUTATIONAL_lOAD_BY_SVGS
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# elif total_page > 1000:
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# jso['need_drop'] = True
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# jso['drop_reason'] = DropReason.HIGH_COMPUTATIONAL_lOAD_BY_TOTAL_PAGES
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else:
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try:
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save_path = "s3://mllm-raw-media/pdf2md_img/"
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image_s3_config = get_s3_config(save_path)
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start_time = time.time() # 记录开始时间
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# 先打印一下book_name和解析开始的时间
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logger.info(f"book_name is:{book_name},start_time is:{formatted_time(start_time)}", file=sys.stderr)
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pdf_info_dict = parse_pdf_by_model(s3_pdf_path, s3_config, model_output_json_list, save_path,
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book_name, pdf_model_profile=None,
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image_s3_config=image_s3_config,
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start_page_id=start_page_id, junk_img_bojids=junk_img_bojids,
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debug_mode=debug_mode)
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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
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jso['need_drop'] = True
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jso['drop_reason'] = pdf_info_dict["drop_reason"]
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else: # 正常返回,将 pdf_info_dict 压缩并存储
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pdf_info_dict = JsonCompressor.compress_json(pdf_info_dict)
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jso['pdf_intermediate_dict'] = pdf_info_dict
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end_time = time.time() # 记录完成时间
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parse_time = int(end_time - start_time) # 计算执行时间
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# 解析完成后打印一下book_name和耗时
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logger.info(f"book_name is:{book_name},end_time is:{formatted_time(end_time)},cost_time is:{parse_time}", file=sys.stderr)
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jso['parse_time'] = parse_time
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except Exception as e:
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jso = exception_handler(jso, e)
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return jso
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if __name__ == "__main__":
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pass
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