folder_ocr_process.py
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import os
import re
import time
import shutil
import base64
import signal
import requests
import traceback
from PIL import Image
from datetime import datetime
from django.core.management import BaseCommand
from multiprocessing import Process
from settings import conf
from common.mixins import LoggerMixin
from common.tools.pdf_to_img import PDFHandler
from apps.doc import consts
from apps.doc.exceptions import OCR1Exception, OCR4Exception
from apps.doc.ocr.wb import BSWorkbook
class TIFFHandler:
def __init__(self, path, img_save_path):
self.path = path
self.img_save_path = img_save_path
self.img_path_list = []
def extract_image(self):
os.makedirs(self.img_save_path, exist_ok=True)
tiff = Image.open(self.path)
tiff.load()
for i in range(tiff.n_frames):
try:
save_path = os.path.join(self.img_save_path, 'page_{0}.jpeg'.format(i))
tiff.seek(i)
tiff.save(save_path)
self.img_path_list.append(save_path)
except EOFError:
break
class Command(BaseCommand, LoggerMixin):
def __init__(self):
super().__init__()
self.log_base = '[folder ocr process]'
# 处理文件开关
self.switch = True
# 睡眠时间
self.sleep_time = float(conf.SLEEP_SECOND_FOLDER)
# input folder
self.input_dirs = conf.get_namespace('INPUT_DIR_')
# ocr相关
self.ocr_url = conf.OCR_URL_FOLDER
self.ocr_url_4 = conf.IC_URL
# 优雅退出信号：15
signal.signal(signal.SIGTERM, self.signal_handler)
def signal_handler(self, sig, frame):
self.switch = False # 停止处理文件
def license1_process(self, ocr_data, license_summary, classify, img_path):
# 类别：'0'身份证， '1'居住证
license_data = ocr_data.get('data', [])
if not license_data:
return
if classify == consts.MVC_CLASSIFY: # 车辆登记证 3/4页结果整合
for mvc_dict in license_data:
try:
mvc_page = mvc_dict.pop('page')
except Exception as e:
pass
else:
if mvc_page == 'VehicleRegArea':
mvc_res = mvc_dict.pop('results', {})
mvc_dict['机动车登记证书编号'] = mvc_res.get('register_no', {}).get('words', '')
for register_info in mvc_res.get('register_info', []):
for detail_dict in register_info.get('details', {}).values():
mvc_dict.setdefault(detail_dict.get('chinese_key', '未知'), []).append(
detail_dict.get('words', ''))
del mvc_res
if classify == consts.IC_CLASSIFY:
for id_card_dict in license_data:
try:
base64_img = id_card_dict.pop('base64_img')
except Exception as e:
continue
else:
card_type = -1
json_data_4 = {
'mode': 1,
'user_info': {
'image_content': base64_img,
},
'options': {
'distinguish_type': 1,
'auto_rotate': True,
},
}
for times in range(consts.RETRY_TIMES):
try:
start_time = time.time()
ocr_4_response = requests.post(self.ocr_url_4, json=json_data_4)
if ocr_4_response.status_code != 200:
raise OCR4Exception('ocr_4 status code: {0}'.format(ocr_4_response.status_code))
except Exception as e:
self.folder_log.warn(
'{0} [ocr_4 failed] [times={1}] [img_path={2}] [error={3}]'.format(
self.log_base, times, img_path, traceback.format_exc()))
else:
ocr_4_res = ocr_4_response.json()
end_time = time.time()
speed_time = int(end_time - start_time)
if ocr_4_res.get('code') == 0 and ocr_4_res.get('result', {}).get('rtn') == 0:
card_type = ocr_4_res.get('result', {}).get(
'idcard_distinguish_result', {}).get('result', -1)
self.folder_log.info(
'{0} [ocr_4 success] [img_path={1}] [speed_time={2}]'.format(
self.log_base, img_path, speed_time))
break
else:
self.folder_log.warn(
'{0} [ocr_4 failed] [img_path={1}]'.format(self.log_base, img_path))
id_card_dict[consts.IC_TURE_OR_FALSE] = consts.IC_RES_MAPPING.get(card_type)
license_summary.setdefault(classify, []).extend(license_data)
@staticmethod
def parse_img_path(img_path):
# 'page_{0}_img_{1}.{2}'.format(pno, img_index, ext)
img_name, _ = os.path.splitext(os.path.basename(img_path))
if re.match(r'page_\d+_img_\d+', img_name):
part_list = img_name.split('_')
return img_name, int(part_list[1])+1, int(part_list[3])+1
else:
return img_name, 1, 1
@staticmethod
def get_path(name, img_output_dir, wb_output_dir, pdf_output_dir):
time_stamp = datetime.now().strftime('%Y-%m-%d_%H:%M:%S')
new_name = '{0}_{1}'.format(time_stamp, name)
img_save_path = os.path.join(img_output_dir, new_name)
pdf_save_path = os.path.join(pdf_output_dir, new_name)
excel_name = '{0}.xlsx'.format(os.path.splitext(new_name)[0])
excel_path = os.path.join(wb_output_dir, excel_name)
return img_save_path, excel_path, pdf_save_path
def res_process(self, all_res, classify, excel_path):
try:
license_summary = {}
if not all_res:
return
else:
for img_path, ocr_res in all_res.items():
# img_name, pno, ino = self.parse_img_path(img_path)
# part_idx = 1
if isinstance(ocr_res, dict):
if ocr_res.get('code') == 1:
data_list = ocr_res.get('data', [])
if isinstance(data_list, list):
for ocr_data in data_list:
# part_idx = part_idx + 1
self.license1_process(ocr_data, license_summary, classify, img_path)
wb = BSWorkbook(set(), set(), set(), set(), set())
wb.simple_license_rebuild(license_summary, consts.DOC_SCHEME_LIST[0])
wb.remove_base_sheet()
wb.save(excel_path)
except Exception as e:
self.folder_log.error('{0} [wb build error] [path={1}] [error={2}]'.format(
self.log_base, excel_path, traceback.format_exc()))
def ocr_process(self, img_path, classify):
if os.path.exists(img_path):
# TODO 图片验证
with open(img_path, 'rb') as f:
base64_data = base64.b64encode(f.read())
# 获取解码后的base64值
file_data = base64_data.decode()
json_data = {
"file": file_data,
"classify": classify
}
for times in range(consts.RETRY_TIMES):
try:
start_time = time.time()
ocr_response = requests.post(self.ocr_url, json=json_data)
if ocr_response.status_code != 200:
raise OCR1Exception('{0} ocr status code: {1}'.format(self.log_base, ocr_response.status_code))
except Exception as e:
self.folder_log.warn('{0} [ocr failed] [times={1}] [img_path={2}] [error={3}]'.format(
self.log_base, times, img_path, traceback.format_exc()))
else:
ocr_res = ocr_response.json()
end_time = time.time()
speed_time = int(end_time - start_time)
self.folder_log.info('{0} [ocr success] [img={1}] [speed_time={2}]'.format(
self.log_base, img_path, speed_time))
return ocr_res
else:
self.folder_log.warn('{0} [ocr failed] [img_path={1}]'.format(self.log_base, img_path))
def images_process(self, img_path_list, classify, excel_path):
all_res = {}
for img_path in img_path_list:
ocr_res = self.ocr_process(img_path, classify)
all_res[img_path] = ocr_res
self.res_process(all_res, classify, excel_path)
def pdf_process(self, name, path, classify, img_output_dir, wb_output_dir, pdf_output_dir):
if os.path.exists(path):
try:
img_save_path, excel_path, pdf_save_path = self.get_path(name, img_output_dir, wb_output_dir, pdf_output_dir)
self.folder_log.info('{0} [pdf to img start] [path={1}]'.format(self.log_base, path))
pdf_handler = PDFHandler(path, img_save_path)
pdf_handler.extract_image()
self.folder_log.info('{0} [pdf to img end] [path={1}]'.format(self.log_base, path))
except Exception as e:
self.folder_log.error('{0} [pdf to img error] [path={1}] [error={2}]'.format(
self.log_base, path, traceback.format_exc()))
raise e
else:
self.images_process(pdf_handler.img_path_list, classify, excel_path)
shutil.move(path, pdf_save_path)
def tif_process(self, name, path, classify, img_output_dir, wb_output_dir, tiff_output_dir):
if os.path.exists(path):
try:
img_save_path, excel_path, tiff_save_path = self.get_path(name, img_output_dir, wb_output_dir, tiff_output_dir)
self.folder_log.info('{0} [tiff to img start] [path={1}]'.format(self.log_base, path))
tiff_handler = TIFFHandler(path, img_save_path)
tiff_handler.extract_image()
self.folder_log.info('{0} [tiff to img end] [path={1}]'.format(self.log_base, path))
except Exception as e:
self.folder_log.error('{0} [tiff to img error] [path={1}] [error={2}]'.format(
self.log_base, path, traceback.format_exc()))
raise e
else:
self.images_process(tiff_handler.img_path_list, classify, excel_path)
shutil.move(path, tiff_save_path)
def img_process(self, name, path, classify, wb_output_dir, img_output_dir, pdf_output_dir):
try:
img_save_path, excel_path, _ = self.get_path(name, img_output_dir, wb_output_dir, pdf_output_dir)
except Exception as e:
self.folder_log.error('{0} [get path error] [path={1}] [error={2}]'.format(
self.log_base, path, traceback.format_exc()))
else:
ocr_res = self.ocr_process(path, classify)
all_res = {path: ocr_res}
self.res_process(all_res, classify, excel_path)
shutil.move(path, img_save_path)
def folder_process(self, input_dir, classify):
while not os.path.isdir(input_dir):
self.folder_log.info('{0} [input dir is not dir] [input_dir={1}]'.format(self.log_base, input_dir))
if self.switch:
time.sleep(self.sleep_time)
continue
else:
return
output_dir = os.path.join(os.path.dirname(input_dir), 'Output')
img_output_dir = os.path.join(output_dir, 'image')
wb_output_dir = os.path.join(output_dir, 'excel')
pdf_output_dir = os.path.join(output_dir, 'pdf')
tiff_output_dir = os.path.join(output_dir, 'tiff')
failed_output_dir = os.path.join(output_dir, 'failed')
os.makedirs(output_dir, exist_ok=True)
os.makedirs(img_output_dir, exist_ok=True)
os.makedirs(wb_output_dir, exist_ok=True)
os.makedirs(pdf_output_dir, exist_ok=True)
os.makedirs(tiff_output_dir, exist_ok=True)
os.makedirs(failed_output_dir, exist_ok=True)
os_error_filename_set = set()
while self.switch:
# if not os.path.isdir(input_dir):
# self.folder_log.info('{0} [input dir is not dir] [input_dir={1}]'.format(self.log_base, input_dir))
# time.sleep(self.sleep_time)
# continue
# 1. 从input dir获取pdf or image
list_dir = os.listdir(input_dir)
if not list_dir and len(os_error_filename_set) == 0:
self.folder_log.info('{0} [input dir empty] [input_dir={1}]'.format(self.log_base, input_dir))
time.sleep(self.sleep_time)
continue
all_file_set = set(list_dir)
true_file_set = all_file_set - os_error_filename_set
if len(true_file_set) == 0 and len(os_error_filename_set) > 0:
true_file_set.add(os_error_filename_set.pop())
for name in true_file_set:
path = os.path.join(input_dir, name)
try:
if os.path.isfile(path):
self.folder_log.info('{0} [file start] [path={1}]'.format(self.log_base, path))
if name.endswith('.pdf') or name.endswith('.PDF'):
self.pdf_process(name, path, classify, img_output_dir, wb_output_dir, pdf_output_dir)
elif name.endswith('.tif') or name.endswith('.TIF'):
self.tif_process(name, path, classify, img_output_dir, wb_output_dir, tiff_output_dir)
else:
self.img_process(name, path, classify, wb_output_dir, img_output_dir, pdf_output_dir)
self.folder_log.info('{0} [file end] [path={1}]'.format(self.log_base, path))
else:
self.folder_log.info('{0} [path is dir] [path={1}]'.format(self.log_base, input_dir))
failed_path = os.path.join(failed_output_dir, '{0}_{1}'.format(time.time(), name))
shutil.move(path, failed_path)
except OSError:
os_error_filename_set.add(name)
self.folder_log.error('{0} [os error] [path={1}] [error={2}]'.format(
self.log_base, path, traceback.format_exc()))
except Exception as e:
try:
self.folder_log.error('{0} [file error] [path={1}] [error={2}]'.format(self.log_base, path,
traceback.format_exc()))
failed_path = os.path.join(failed_output_dir, '{0}_{1}'.format(time.time(), name))
shutil.move(path, failed_path)
except Exception as e:
os_error_filename_set.add(name)
self.folder_log.error('{0} [file move error] [path={1}] [error={2}]'.format(
self.log_base, path, traceback.format_exc()))
def handle(self, *args, **kwargs):
process_list = []
for classify_idx, input_dir in self.input_dirs.items():
classify = int(classify_idx.split('_')[0])
process = Process(target=self.folder_process, args=(input_dir, classify))
process_list.append(process)
for p in process_list:
p.start()
for p in process_list:
p.join()
self.folder_log.info('{0} [stop safely]'.format(self.log_base))