folder_ltgt_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, Queue
from openpyxl import load_workbook, Workbook
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, LTGTException
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 ltgt process]'
# 处理文件开关
self.switch = True
self.ltgt_classify_mapping = {
128: '执行裁定书',
129: '民事判决书',
130: '民事调解书'
}
self.sheet_content = {
128: ('执行裁定书', ('承办法院', '案号/标号', '被执行人', '债权金额', '诉讼时间')),
129: ('民事判决书', ('承办法院', '案号/标号', '被告', '判决结果: 贷款本金', '判决结果: 罚息', '判决结果: 律师费', '判决结果: 案件受理费', '诉讼时间')),
130: ('民事调解书', ('承办法院', '案号/标号', '被告', '协议内容: 支付金额', '协议内容: 案件受理费', '诉讼时间')),
}
self.DATE_KEY = 'date'
self.CLASSIFY_KEY = 'classify'
self.RESULT_KEY = 'result'
self.daily_wb_name = 'Output_{0}.xlsx'
self.short_sleep_time = 10
self.long_sleep_time = 3600
# 睡眠时间
self.sleep_time = float(conf.SLEEP_SECOND_FOLDER)
# input folder
self.input_dirs = conf.get_namespace('LTGT_DIR_')
# ocr相关
# self.ocr_url = conf.OCR_URL_FOLDER
# self.ocr_url_4 = conf.IC_URL
self.ltgt_ocr_url = conf.LTGT_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}] [res={2}] [speed_time={3}]'.format(
self.log_base, img_path, ocr_res, speed_time))
return ocr_res
else:
self.folder_log.warn('{0} [ocr failed] [img_path={1}]'.format(self.log_base, img_path))
def ltgt_ocr_process(self, img_path_list, label, path):
img_data_list = []
for img_path in img_path_list:
if os.path.exists(img_path):
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()
img_data_list.append(file_data)
json_data = {
"label": label,
"img_data_list": img_data_list
}
for times in range(consts.RETRY_TIMES):
try:
start_time = time.time()
ocr_response = requests.post(self.ltgt_ocr_url, json=json_data)
if ocr_response.status_code != 200:
raise LTGTException('{0} ltgt ocr status code: {1}'.format(self.log_base, ocr_response.status_code))
except Exception as e:
self.folder_log.warn('{0} [ltgt ocr failed] [times={1}] [path={2}] [error={3}]'.format(
self.log_base, times, 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} [ltgt ocr success] [path={1}] [res={2}] [speed_time={3}]'.format(
self.log_base, path, ocr_res, speed_time))
return ocr_res
else:
self.folder_log.warn('{0} [ltgt ocr failed] [path={1}]'.format(self.log_base, path))
def ltgt_res_process(self, ocr_res, label, excel_path):
try:
if isinstance(ocr_res, dict):
if ocr_res.get('code') == 1:
result_dict = ocr_res.get('data', {})
wb = BSWorkbook(set(), set(), set(), set(), set())
rebuild_res = wb.ltgt_build(label, result_dict)
wb.remove_base_sheet()
wb.save(excel_path)
return rebuild_res
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 ltgt_process(self, img_path_list, label, excel_path, path):
ocr_res = self.ltgt_ocr_process(img_path_list, label, path)
rebuild_res = self.ltgt_res_process(ocr_res, label, excel_path)
return rebuild_res
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):
rebuild_res = None
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)
if classify in self.ltgt_classify_mapping:
pdf_handler.extract_page_image()
else:
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:
if classify in self.ltgt_classify_mapping:
rebuild_res = self.ltgt_process(pdf_handler.img_path_list, self.ltgt_classify_mapping[classify],
excel_path, path)
else:
self.images_process(pdf_handler.img_path_list, classify, excel_path)
shutil.move(path, pdf_save_path)
return rebuild_res
def tif_process(self, name, path, classify, img_output_dir, wb_output_dir, tiff_output_dir):
if os.path.exists(path):
rebuild_res = None
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:
if classify in self.ltgt_classify_mapping:
rebuild_res = self.ltgt_process(tiff_handler.img_path_list, self.ltgt_classify_mapping[classify],
excel_path, path)
else:
self.images_process(tiff_handler.img_path_list, classify, excel_path)
shutil.move(path, tiff_save_path)
return rebuild_res
def img_process(self, name, path, classify, wb_output_dir, img_output_dir, pdf_output_dir):
rebuild_res = None
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:
if classify in self.ltgt_classify_mapping:
rebuild_res = self.ltgt_process([path], self.ltgt_classify_mapping[classify], excel_path, path)
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)
return rebuild_res
def wb_process(self, wb_dir, result_queue):
while self.switch:
result_list = []
date_str = None
for i in range(100):
try:
result = result_queue.get(block=False)
except Exception as e:
time.sleep(self.short_sleep_time)
else:
if date_str is None:
date_str = result[self.DATE_KEY]
result_list.append(result)
elif result[self.DATE_KEY] == date_str:
result_list.append(result)
else:
break
if date_str is None:
time.sleep(self.long_sleep_time)
continue
else:
wb_name = self.daily_wb_name.format(date_str)
wb_path = os.path.join(wb_dir, wb_name)
if os.path.isfile(wb_path):
wb = load_workbook(wb_path)
else:
wb = Workbook()
for result in result_list:
try:
sheet_name, head_fields = self.sheet_content[result[self.CLASSIFY_KEY]]
row = []
for field in head_fields:
row.append(result[self.RESULT_KEY].get(field))
if sheet_name in wb.sheetnames:
ws = wb.get_sheet_by_name(sheet_name)
else:
ws = wb.create_sheet(sheet_name)
ws.append(head_fields)
ws.append(row)
except Exception as e:
self.folder_log.info('{0} [daily wb failed] [result={1}] [error={2}]'.format(
self.log_base, result, traceback.format_exc()))
wb.save(wb_path)
def folder_process(self, input_dir, classify, result_queue):
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'):
result = self.pdf_process(name, path, classify, img_output_dir,
wb_output_dir, pdf_output_dir)
elif name.endswith('.tif') or name.endswith('.TIF'):
result = self.tif_process(name, path, classify, img_output_dir,
wb_output_dir, tiff_output_dir)
else:
result = 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:
result = None
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()))
else:
if isinstance(result, dict) and len(result) > 0:
date_str = time.strftime("%Y-%m-%d")
result_queue.put(
{
self.CLASSIFY_KEY: classify,
self.RESULT_KEY: result,
self.DATE_KEY: date_str
}
)
elif isinstance(result, list) and len(result) > 0:
date_str = time.strftime("%Y-%m-%d")
for res in result:
result_queue.put(
{
self.CLASSIFY_KEY: classify,
self.RESULT_KEY: res,
self.DATE_KEY: date_str
}
)
def handle(self, *args, **kwargs):
if len(self.input_dirs) == 0:
return
result_queue = Queue()
process_list = []
one_input_dir = None
for classify_idx, input_dir in self.input_dirs.items():
if one_input_dir is None:
one_input_dir = input_dir
classify = int(classify_idx.split('_')[0])
process = Process(target=self.folder_process, args=(input_dir, classify, result_queue))
process_list.append(process)
wb_dir = os.path.dirname(os.path.dirname(one_input_dir))
wb_process = Process(target=self.wb_process, args=(wb_dir, result_queue, ))
process_list.append(wb_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))