Commit f7a7206e authored by 赵小蒙's avatar 赵小蒙

目录重构

parent 72285458
# 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
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