import os import time import json import signal import asyncio import aiohttp import difflib import base64 import requests from datetime import datetime, date from collections import Counter from apps.doc.ocr.wb import BSWorkbook, Workbook from django.core.management import BaseCommand from settings import conf from common.mixins import LoggerMixin from common.tools.file_tools import write_zip_file from common.tools.pdf_to_img import PDFHandler from apps.doc.models import DocStatus, HILDoc, AFCDoc, Keywords from apps.doc.named_enum import KeywordsType from apps.doc import consts from apps.doc.ocr.edms import EDMS, rh from apps.doc.exceptions import EDMSException class Command(BaseCommand, LoggerMixin): def __init__(self): super().__init__() self.log_base = '[doc ocr process]' # 处理文件开关 self.switch = True # 数据目录 self.data_dir = conf.DATA_DIR # ocr相关 self.ocr_url_1 = conf.OCR_URL_1 self.ocr_url_2 = conf.OCR_URL_2 self.ocr_url_3 = conf.BC_URL # EDMS web_service_api self.edms = EDMS() # 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 get_doc_info(self): task_str, is_priority = rh.dequeue() if task_str is None: self.cronjob_log.info('{0} [get_doc_info] [queue empty]'.format(self.log_base)) return None, None business_type, doc_id_str = task_str.split(consts.SPLIT_STR) doc_id = int(doc_id_str) doc_class = HILDoc if business_type == consts.HIL_PREFIX else AFCDoc # doc_info = doc_class.objects.filter(id=doc_id, status=DocStatus.INIT.value).values( # 'id', 'metadata_version_id', 'application_id', 'document_name', 'document_scheme').first() doc = doc_class.objects.filter(id=doc_id).first() if doc is None: self.cronjob_log.warn('{0} [get_doc_info] [doc not exist] [task_str={1}] [is_priority={2}]'.format( self.log_base, task_str, is_priority)) return None, None elif doc.status != DocStatus.INIT.value: self.cronjob_log.warn('{0} [get_doc_info] [doc status error] [task_str={1}] [is_priority={2}] ' '[doc_status={3}]'.format(self.log_base, task_str, is_priority, doc.status)) return None, None doc.status = DocStatus.PROCESSING.value doc.save() self.cronjob_log.info('{0} [get_doc_info] [success] [task_str={1}] [is_priority={2}]'.format( self.log_base, task_str, is_priority)) return doc, business_type def pdf_download(self, doc, business_type): doc_data_path = os.path.join(self.data_dir, business_type, str(doc.id)) os.makedirs(doc_data_path, exist_ok=True) pdf_path = os.path.join(doc_data_path, '{0}.pdf'.format(doc.id)) if not doc.application_id.startswith(consts.FIXED_APPLICATION_ID_PREFIX): for times in range(consts.RETRY_TIMES): try: self.edms.download(pdf_path, doc.metadata_version_id) except Exception as e: self.cronjob_log.warn('{0} [edms download failed] [times={1}] [business_type={2}] [doc_id={3}] ' '[error={4}]'.format(self.log_base, times, business_type, doc.id, e)) edms_exc = str(e) else: break else: raise EDMSException(edms_exc) excel_path = os.path.join(doc_data_path, '{0}.xlsx'.format(doc.id)) src_excel_path = os.path.join(doc_data_path, 'src.xlsx') self.cronjob_log.info('{0} [edms download success] [business_type={1}] [doc_id={2}] [pdf_path={3}]'.format( self.log_base, business_type, doc.id, pdf_path)) return doc_data_path, excel_path, src_excel_path, pdf_path def bs_process(self, wb, ocr_data, bs_summary, unknown_summary, classify, res_list, pno, ino): sheets = ocr_data.get('data', []) if not sheets: res_list.append((pno, ino, consts.RES_SUCCESS_EMPTY)) return confidence = ocr_data.get('confidence', 1) img_name = 'page_{0}_img_{1}'.format(pno, ino) cells_exists = False for i, sheet in enumerate(sheets): cells = sheet.get('cells') if not cells: continue cells_exists = True sheet_name = '{0}_{1}'.format(img_name, i) ws = wb.create_sheet(sheet_name) for cell in cells: c1 = cell.get('start_column') r1 = cell.get('start_row') words = cell.get('words') ws.cell(row=r1 + 1, column=c1 + 1, value=words) # ['户名', '卡号', '页码', '回单验证码', '打印时间', '起始时间', '终止时间'] summary = sheet.get('summary') card = summary[1] if card is None: classify_dict = unknown_summary.setdefault(classify, {}) role = consts.UNKNOWN_ROLE if summary[0] is None else summary[0] role_dict = classify_dict.setdefault(role, {}) role_dict['classify'] = classify role_dict['role'] = role role_dict.setdefault('sheet', []).append(sheet_name) role_dict.setdefault('confidence', []).append(confidence) code_list = role_dict.setdefault('code', []) pt_list = role_dict.setdefault('print_time', []) sd_list = role_dict.setdefault('start_date', []) ed_list = role_dict.setdefault('end_date', []) if summary[3] is not None: code_list.append((summary[2], summary[3])) if summary[4] is not None: pt_list.append(summary[4]) if summary[5] is not None: sd_list.append(summary[5]) if summary[6] is not None: ed_list.append(summary[6]) else: card_dict = bs_summary.setdefault(card, {}) card_dict['count'] = card_dict.get('count', 0) + 1 card_dict.setdefault('classify', []).append(classify) card_dict.setdefault('confidence', []).append(confidence) card_dict.setdefault('sheet', []).append(sheet_name) role_list = card_dict.setdefault('role', []) role_set = card_dict.setdefault('role_set', set()) code_list = card_dict.setdefault('code', []) pt_list = card_dict.setdefault('print_time', []) sd_list = card_dict.setdefault('start_date', []) ed_list = card_dict.setdefault('end_date', []) if summary[0] is not None: role_list.append(summary[0]) role_set.add(summary[0]) if summary[3] is not None: code_list.append((summary[2], summary[3])) if summary[4] is not None: pt_list.append(summary[4]) if summary[5] is not None: sd_list.append(summary[5]) if summary[6] is not None: ed_list.append(summary[6]) if cells_exists: res_list.append((pno, ino, consts.RES_SUCCESS)) else: res_list.append((pno, ino, consts.RES_SUCCESS_EMPTY)) def license1_process(self, ocr_data, license_summary, classify, res_list, pno, ino): # 类别:'0'身份证, '1'居住证 license_data = ocr_data.get('data', []) if not license_data: res_list.append((pno, ino, consts.RES_SUCCESS_EMPTY)) return res_list.append((pno, ino, consts.RES_SUCCESS)) license_summary.setdefault(classify, []).extend(license_data) def license2_process(self, ocr_res_2, license_summary, pid, classify, res_list, pno, ino): if ocr_res_2.get('ErrorCode') in consts.SUCCESS_CODE_SET: res_list.append((pno, ino, consts.RES_SUCCESS)) if pid == consts.BC_PID: # 银行卡 # res_dict = {} # for en_key, chn_key in consts.BC_FIELD: # res_dict[chn_key] = ocr_res_2.get(en_key, '') license_summary.setdefault(classify, []).append(ocr_res_2) else: # 营业执照等 for result_dict in ocr_res_2.get('ResultList', []): res_dict = {} for field_dict in result_dict.get('FieldList', []): res_dict[field_dict.get('chn_key', '')] = field_dict.get('value', '') license_summary.setdefault(classify, []).append(res_dict) else: res_list.append((pno, ino, consts.RES_FAILED)) @staticmethod async def fetch_ocr_1_result(url, json_data): async with aiohttp.ClientSession(connector=aiohttp.TCPConnector(ssl=False)) as session: async with session.post(url, json=json_data) as response: if response.status == 200: return await response.json() @staticmethod async def fetch_ocr_2_result(url, json_data): async with aiohttp.ClientSession(connector=aiohttp.TCPConnector(ssl=False)) as session: async with session.post(url, data=json_data) as response: if response.status == 200: return await response.text() @staticmethod async def fetch_bc_name_result(url, json_data): async with aiohttp.ClientSession(connector=aiohttp.TCPConnector(ssl=False)) as session: async with session.post(url, json=json_data) as response: if response.status == 200: return await response.json() async def img_2_ocr_2_wb(self, wb, img_path, bs_summary, unknown_summary, license_summary, res_list): pno, ino = self.parse_img_path(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() json_data_1 = { "file": file_data } ocr_res_1 = await self.fetch_ocr_1_result(self.ocr_url_1, json_data_1) if ocr_res_1 is None: res_list.append((pno, ino, consts.RES_FAILED)) self.cronjob_log.info('{0} [ocr_1 failed] [img={1}]'.format(self.log_base, img_path)) # raise Exception('ocr 1 error, img_path={0}'.format(img_path)) else: self.cronjob_log.info('{0} [ocr_1 success] [img={1}] [res={2}]'.format( self.log_base, img_path, ocr_res_1)) if ocr_res_1.get('code') == 1: ocr_data = ocr_res_1.get('data', {}) classify = ocr_data.get('classify') if classify is None: res_list.append((pno, ino, consts.RES_FAILED)) self.cronjob_log.info('{0} [ocr_1 res error] [img={1}] [res={2}]'.format( self.log_base, img_path, ocr_res_1)) return elif classify in consts.OTHER_CLASSIFY_SET: # 其他类 res_list.append((pno, ino, consts.RES_SUCCESS_OTHER)) return elif classify in consts.LICENSE_CLASSIFY_SET_1: # 证件1 self.license1_process(ocr_data, license_summary, classify, res_list, pno, ino) elif classify in consts.LICENSE_CLASSIFY_SET_2: # 证件2 pid, _, _, _, _ = consts.LICENSE_CLASSIFY_MAPPING.get(classify) json_data_2 = { "pid": str(pid), # "key": conf.OCR_KEY, # "secret": conf.OCR_SECRET, "filedata": file_data } ocr_res_2 = await self.fetch_ocr_2_result(self.ocr_url_2, json_data_2) if ocr_res_2 is None: res_list.append((pno, ino, consts.RES_FAILED)) self.cronjob_log.info('{0} [ocr_2 failed] [img={1}]'.format(self.log_base, img_path)) # raise Exception('ocr 2 error, img_path={0}'.format(img_path)) else: # 识别结果 ocr_res_2 = json.loads(ocr_res_2) self.cronjob_log.info('{0} [ocr_2 success] [img={1}] [res={2}]'.format( self.log_base, img_path, ocr_res_2)) if classify == consts.BC_CLASSIFY: name = '有' json_data_1['card_res'] = ocr_res_2 card_name_res = await self.fetch_bc_name_result(self.ocr_url_3, json_data_1) if isinstance(card_name_res, dict) and \ card_name_res.get('data', {}).get('is_exists_name') == 0: name = '无' ocr_res_2['Name'] = name self.license2_process(ocr_res_2, license_summary, pid, classify, res_list, pno, ino) else: # 流水处理 self.bs_process(wb, ocr_data, bs_summary, unknown_summary, classify, res_list, pno, ino) else: res_list.append((pno, ino, consts.RES_FAILED)) self.cronjob_log.info('{0} [ocr_1 res error] [img={1}] [res={2}]'.format( self.log_base, img_path, ocr_res_1)) # def img_2_ocr_2_wb(self, wb, img_path, bs_summary, unknown_summary, license_summary, skip_img): # # # 流水 # # res = { # # 'code': 1, # # 'msg': 'success', # # 'data': { # # 'classify': 0, # # 'confidence': 0.999, # # 'data': [ # # { # # 'summary': ['户名', '卡号', '页码', '回单验证码', '打印时间', '起始时间', '终止时间'], # # 'cells': [] # # }, # # { # # 'summary': ['户名', '卡号', '页码', '回单验证码', '打印时间', '起始时间', '终止时间'], # # 'cells': [] # # } # # ] # # } # # } # # # # # 证件-1 # # res = { # # 'code': 1, # # 'msg': 'success', # # 'data': { # # 'classify': 0, # # 'confidence': 0.999, # # 'data': [ # # { # # 'cn_key': 'value', # # 'cn_key': 'value', # # }, # # { # # 'cn_key': 'value', # # 'cn_key': 'value', # # }, # # ] # # } # # } # # # # # 证件-2 or 其他类 # # res = { # # 'code': 1, # # 'msg': 'success', # # 'data': { # # 'classify': 0, # # 'confidence': 0.999, # # } # # } # 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_1 = { # "file": file_data # } # response_1 = requests.post(self.ocr_url_1, json=json_data_1) # if response_1.status_code == 200: # ocr_res_1 = response_1.json() # self.cronjob_log.info('{0} [ocr_1 result] [img={1}] [res={2}]'.format( # self.log_base, img_path, ocr_res_1)) # # if ocr_res_1.get('code') == 1: # ocr_data = ocr_res_1.get('data', {}) # classify = ocr_data.get('classify') # if classify is None: # skip_img.append(self.parse_img_path(img_path)) # return # elif classify in consts.OTHER_CLASSIFY_SET: # 其他类 # skip_img.append(self.parse_img_path(img_path)) # return # elif classify in consts.LICENSE_CLASSIFY_SET_1: # 证件1 # self.license1_process(ocr_data, license_summary, classify, skip_img, img_path) # elif classify in consts.LICENSE_CLASSIFY_SET_2: # 证件2 # pid, _ = consts.LICENSE_CLASSIFY_MAPPING.get(classify) # json_data_2 = { # "pid": str(pid), # "key": conf.OCR_KEY, # "secret": conf.OCR_SECRET, # "file": file_data # } # response_2 = requests.post(self.ocr_url_2, data=json_data_2) # if response_2.status_code == 200: # # 识别结果 # ocr_res_2 = response_2.json() # self.cronjob_log.info('{0} [ocr_2 result] [img={1}] [res={2}]'.format( # self.log_base, img_path, ocr_res_2)) # self.license2_process(ocr_res_2, license_summary, pid, classify, skip_img, img_path) # else: # raise Exception('ocr 2 error, img_path={0}'.format(img_path)) # else: # 流水处理 # self.bs_process(wb, ocr_data, bs_summary, unknown_summary, img_path, classify, skip_img) # else: # skip_img.append(self.parse_img_path(img_path)) # else: # raise Exception('ocr 1 error, img_path={0}'.format(img_path)) @staticmethod def parse_img_path(img_path): img_name, _ = os.path.splitext(os.path.basename(img_path)) part_list = img_name.split('_') # page_7_img_11_0 return int(part_list[1])+1, int(part_list[3])+1 @staticmethod def get_most(value_list): if value_list: most_common = Counter(value_list).most_common(1) return most_common[0][0] if most_common else None @staticmethod def date_format(date_str, format_str): try: date_res = datetime.strptime(date_str, format_str).date() except Exception as e: return else: return date_res def get_validate_date(self, date_list): for date_str in date_list: for format_str in consts.DATE_FORMAT: date_res = self.date_format(date_str, format_str) if isinstance(date_res, date): return date_res def merge_card(self, bs_summary): merged_bs_summary = {} sorted_card = sorted(bs_summary.keys(), key=lambda x: bs_summary[x]['count'], reverse=True) for main_card in sorted_card: if bs_summary.get(main_card) is None: continue merged_bs_summary[main_card] = bs_summary.pop(main_card) del merged_bs_summary[main_card]['count'] merge_cards = [] for card in bs_summary.keys(): if difflib.SequenceMatcher(None, main_card, card).quick_ratio() > consts.CARD_RATIO: merged_bs_summary[main_card]['classify'].extend(bs_summary[card]['classify']) merged_bs_summary[main_card]['confidence'].extend(bs_summary[card]['confidence']) merged_bs_summary[main_card]['sheet'].extend(bs_summary[card]['sheet']) merged_bs_summary[main_card]['role'].extend(bs_summary[card]['role']) merged_bs_summary[main_card]['role_set'].update(bs_summary[card]['role_set']) merged_bs_summary[main_card]['code'].extend(bs_summary[card]['code']) merged_bs_summary[main_card]['print_time'].extend(bs_summary[card]['print_time']) merged_bs_summary[main_card]['start_date'].extend(bs_summary[card]['start_date']) merged_bs_summary[main_card]['end_date'].extend(bs_summary[card]['end_date']) merge_cards.append(card) for card in merge_cards: del bs_summary[card] merged_bs_summary[main_card]['classify'] = self.get_most(merged_bs_summary[main_card]['classify']) merged_bs_summary[main_card]['role'] = self.get_most(merged_bs_summary[main_card]['role']) del bs_summary return merged_bs_summary def prune_bs_summary(self, bs_summary): for summary in bs_summary.values(): del summary['count'] summary['classify'] = self.get_most(summary['classify']) summary['role'] = self.get_most(summary['role']) return bs_summary def rebuild_bs_summary(self, bs_summary, unknown_summary): # bs_summary = { # '卡号': { # 'count': 100, # 'classify': [], # 'confidence': [], # 'role': [], # 'code': [('page', 'code')], # 'print_time': [], # 'start_date': [], # 'end_date': [], # 'sheet': ['sheet_name'] # } # } # # unknown_summary = { # 0: { # '户名': { # 'classify': 0, # 'confidence': [], # 'role': '户名', # 'code': [('page', 'code')], # 'print_time': [], # 'start_date': [], # 'end_date': [], # 'sheet': ['sheet_name'] # } # } # } # 无卡号 if len(bs_summary) == 0: del bs_summary merged_bs_summary = {} card_num = 1 for role_dict in unknown_summary.values(): if len(role_dict) == 2 and consts.UNKNOWN_ROLE in role_dict: summary_dict = role_dict.pop(consts.UNKNOWN_ROLE, {}) for summary in role_dict.values(): summary_dict['confidence'].extend(summary['confidence']) summary_dict['role'] = summary['role'] summary_dict['code'].extend(summary['code']) summary_dict['print_time'].extend(summary['print_time']) summary_dict['start_date'].extend(summary['start_date']) summary_dict['end_date'].extend(summary['end_date']) summary_dict['sheet'].extend(summary['sheet']) card = '{0}_{1}'.format(consts.UNKNOWN_CARD, card_num) merged_bs_summary[card] = summary_dict else: for summary in role_dict.values(): card = '{0}_{1}'.format(consts.UNKNOWN_CARD, card_num) card_num += 1 merged_bs_summary[card] = summary else: # 1卡号 one_card = False if len(bs_summary) == 1: merged_bs_summary = self.prune_bs_summary(bs_summary) one_card = True # 多卡号 else: merged_bs_summary = self.merge_card(bs_summary) for card_summary in merged_bs_summary.values(): merge_role = [] classify_summary = unknown_summary.get(card_summary['classify'], {}) for role, summary in classify_summary.items(): if one_card or role in card_summary['role_set']: merge_role.append(role) card_summary['confidence'].extend(summary['confidence']) card_summary['sheet'].extend(summary['sheet']) card_summary['code'].extend(summary['code']) card_summary['print_time'].extend(summary['print_time']) card_summary['start_date'].extend(summary['start_date']) card_summary['end_date'].extend(summary['end_date']) for role in merge_role: del classify_summary[role] card_num = 1 for role_dict in unknown_summary.values(): for summary in role_dict.values(): card = '{0}_{1}'.format(consts.UNKNOWN_CARD, card_num) card_num += 1 merged_bs_summary[card] = summary del unknown_summary for summary in merged_bs_summary.values(): if summary.get('role_set') is not None: del summary['role_set'] summary['print_time'] = self.get_validate_date(summary['print_time']) summary['start_date'] = self.get_validate_date(summary['start_date']) summary['end_date'] = self.get_validate_date(summary['end_date']) summary['confidence'] = max(summary['confidence']) return merged_bs_summary # TODO 细化文件状态,不同异常状态,归还队列,重试时采取不同的处理 # TODO 异常邮件通知 # 识别失败:普通异常,如PDF异常、构建过程异常 # EDMS异常:下载异常-->回队列-->邮件;上传异常-->重新上传队列-->邮件 # 算法异常:第一道异常-->识别失败-->邮件;第二道异常-->识别失败-->邮件 # TODO OCR接口调用重试 def handle(self, *args, **kwargs): sleep_second = int(conf.SLEEP_SECOND) max_sleep_second = int(conf.MAX_SLEEP_SECOND) while self.switch: # 1. 从队列获取文件信息 doc, business_type = self.get_doc_info() # 队列为空时的处理 if doc is None: time.sleep(sleep_second) sleep_second = min(max_sleep_second, sleep_second + 5) continue sleep_second = int(conf.SLEEP_SECOND) try: start_time = time.time() # 2. 从EDMS获取PDF文件 doc_data_path, excel_path, src_excel_path, pdf_path = self.pdf_download(doc, business_type) # 3.PDF文件提取图片 img_save_path = os.path.join(doc_data_path, 'img') self.cronjob_log.info('{0} [pdf to img start] [business_type={1}] [doc_id={2}]'.format( self.log_base, business_type, doc.id)) pdf_handler = PDFHandler(pdf_path, img_save_path) pdf_handler.extract_image() self.cronjob_log.info('{0} [pdf to img end] [business_type={1}] [doc_id={2}]'.format( self.log_base, business_type, doc.id)) # 4.获取OCR结果并且构建excel文件 bs_summary = {} license_summary = {} unknown_summary = {} res_list = [] interest_keyword = Keywords.objects.filter( type=KeywordsType.INTEREST.value, on_off=True).values_list('keyword', flat=True) salary_keyword = Keywords.objects.filter( type=KeywordsType.SALARY.value, on_off=True).values_list('keyword', flat=True) loan_keyword = Keywords.objects.filter( type__in=[KeywordsType.LOAN.value, KeywordsType.ALI_WECHART.value], on_off=True).values_list( 'keyword', flat=True) wb = BSWorkbook(interest_keyword, salary_keyword, loan_keyword) # wb = Workbook() # 4.1 获取OCR结果 loop = asyncio.get_event_loop() tasks = [self.img_2_ocr_2_wb(wb, img_path, bs_summary, unknown_summary, license_summary, res_list) for img_path in pdf_handler.img_path_list] loop.run_until_complete(asyncio.wait(tasks)) # loop.close() # for img_path in pdf_handler.img_path_list: # self.img_2_ocr_2_wb(wb, img_path, bs_summary, unknown_summary, license_summary, res_list) self.cronjob_log.info('{0} [business_type={1}] [doc_id={2}] [bs_summary={3}] [unknown_summary={4}] ' '[license_summary={5}]'.format(self.log_base, business_type, doc.id, bs_summary, unknown_summary, license_summary)) merged_bs_summary = self.rebuild_bs_summary(bs_summary, unknown_summary) self.cronjob_log.info('{0} [business_type={1}] [doc_id={2}] [merged_bs_summary={3}] ' '[unknown_summary={4}] [res_list={5}]'.format(self.log_base, business_type, doc.id, merged_bs_summary, unknown_summary, res_list)) del unknown_summary # 4.2 重构Excel文件 wb.save(src_excel_path) wb.rebuild(merged_bs_summary, license_summary, res_list, doc.document_scheme) wb.save(excel_path) except EDMSException as e: doc.status = DocStatus.PROCESS_FAILED.value doc.save() self.cronjob_log.error('{0} [process failed (edms download)] [business_type={1}] [doc_id={2}] ' '[err={3}]'.format(self.log_base, business_type, doc.id, e)) except Exception as e: doc.status = DocStatus.PROCESS_FAILED.value doc.save() self.cronjob_log.error('{0} [process failed (program)] [business_type={1}] [doc_id={2}] ' '[err={3}]'.format(self.log_base, business_type, doc.id, e)) else: try: # 5.上传至EDMS for times in range(consts.RETRY_TIMES): try: self.edms.upload(excel_path, doc, business_type) except Exception as e: self.cronjob_log.warn( '{0} [edms upload failed] [times={1}] [business_type={2}] [doc_id={3}] ' '[error={4}]'.format(self.log_base, times, business_type, doc.id, e)) edms_exc = str(e) else: break else: raise EDMSException(edms_exc) except Exception as e: doc.status = DocStatus.UPLOAD_FAILED.value doc.save() end_time = time.time() speed_time = int(end_time - start_time) self.cronjob_log.error('{0} [process failed (edms upload)] [business_type={1}] [doc_id={2}] ' '[speed_time={3}] [err={4}]'.format(self.log_base, business_type, doc.id, speed_time, e)) write_zip_file(img_save_path, os.path.join(doc_data_path, '{0}_img.zip'.format(doc.id))) else: doc.status = DocStatus.COMPLETE.value doc.save() end_time = time.time() speed_time = int(end_time - start_time) self.cronjob_log.info('{0} [process complete] [business_type={1}] [doc_id={2}] ' '[speed_time={3}]'.format(self.log_base, business_type, doc.id, speed_time)) write_zip_file(img_save_path, os.path.join(doc_data_path, '{0}_img.zip'.format(doc.id))) self.cronjob_log.info('{0} [stop safely]'.format(self.log_base))