ocr_process.py
141 KB
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import os
import time
import json
import shutil
import base64
import signal
import difflib
import requests
import traceback
from collections import Counter
from datetime import datetime, date
from django import db
from django.utils import timezone
from django.core.management import BaseCommand
from multiprocessing import Process, Queue, Manager, Lock
from settings import conf
from common.mixins import LoggerMixin
from common.tools.file_tools import get_pwd_list_from_str, extract_zip_or_rar, get_file_paths
from common.tools.pdf_to_img import PDFHandler
from common.electronic_afc_contract.afc_contract_ocr import predict as afc_predict
from common.electronic_hil_contract.hil_contract_ocr import predict as hil_predict
from common.fsm_econtract.fsm_contract_ocr import predict as fsm_predict
from common.fsm_econtract.hmh_ocr import predict as hmh_predict
from apps.doc import consts
# from apps.doc.ocr.edms import EDMS, rh
from apps.doc.ocr.ecm import ECM, rh
from apps.doc.named_enum import KeywordsType, FailureReason, WorkflowName, ProcessName, RequestTeam, RequestTrigger, BSCheckResult
from apps.doc.exceptions import EDMSException, OCR1Exception, OCR2Exception, OCR4Exception
from apps.doc.ocr.wb import BSWorkbook
from apps.doc.models import (
DocStatus,
HILDoc,
AFCDoc,
Keywords,
HILOCRResult,
AFCOCRResult,
AFCSEOCRResult,
HILOCRReport,
HILSEOCRResult,
AFCOCRReport,
DDARecords,
IDBCRecords,
Configs,
)
from celery_compare.tasks import compare
class Command(BaseCommand, LoggerMixin):
def __init__(self):
super().__init__()
self.log_base = '[doc ocr process]'
self.e_log_base = '[e-contract ocr process]'
# 处理文件开关
self.switch = True
# 睡眠时间
self.sleep_time_doc_get = float(conf.SLEEP_SECOND_DOC_GET)
self.sleep_time_img_put = float(conf.SLEEP_SECOND_IMG_PUT)
self.sleep_time_img_get = float(conf.SLEEP_SECOND_IMG_GET)
self.sleep_time_task_get = float(conf.SLEEP_SECOND_TASK_GET)
# 队列长度
self.img_queue_size = int(conf.IMG_QUEUE_SIZE)
# 数据目录
self.data_dir = conf.DATA_DIR
# DDA目录
self.dda_dir = os.path.join(self.data_dir, 'HIL', 'SF5-CL-S-1', 'DDA')
self.dda_complete_dir = os.path.join(self.dda_dir, 'complete')
self.dda_wanting_dir = os.path.join(self.dda_dir, 'wanting')
# ocr相关
self.ocr_1_urls = conf.get_namespace('OCR_URL_1_')
self.ocr_url_2 = conf.OCR_URL_2
self.ocr_url_2_bc = conf.OCR_URL_2_BC
self.ocr_url_3 = conf.BC_URL
self.ocr_url_4 = conf.IC_URL
# EDMS web_service_api
# self.edms = EDMS()
self.edms = ECM()
# 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_object(self, task_str):
# 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()
# return doc, business_type
def get_zip_doc_info(self, task_str):
try:
info_tuple = task_str.split(consts.SPLIT_STR)
if len(info_tuple) == 2:
business_type, doc_id_str = info_tuple
else:
business_type, doc_id_str, classify_1_str = info_tuple
doc_id = int(doc_id_str)
doc_class = HILDoc if business_type == consts.HIL_PREFIX else AFCDoc
zip_doc = doc_class.objects.filter(id=doc_id).first()
if zip_doc is None:
self.online_log.warn('{0} [zip_2_pdfs] [doc not exist] [task_str={1}]'.format(
self.log_base, task_str))
return None, business_type
elif zip_doc.status != DocStatus.INIT.value:
self.online_log.warn('{0} [zip_2_pdfs] [doc status error] [task_str={1}] [doc_status={2}]'.format(
self.log_base, task_str, zip_doc.status))
return None, business_type
zip_doc.status = DocStatus.PROCESSING.value
zip_doc.start_time = timezone.now()
zip_doc.save()
except Exception as e:
self.online_log.error('{0} [process error (zip_2_pdfs)] [error={1}]'.format(
self.log_base, traceback.format_exc()))
return None, None
else:
self.online_log.info('{0} [zip_2_pdfs] [db save end] [task_str={1}]'.format(
self.log_base, task_str))
return zip_doc, business_type
def get_doc_info(self, task_str, is_priority=False):
try:
# doc, business_type = self.get_doc_object(task_str)
info_tuple = task_str.split(consts.SPLIT_STR)
if len(info_tuple) == 2:
business_type, doc_id_str = info_tuple
classify_1_str = '0'
rebuild_task_str = task_str
else:
business_type, doc_id_str, classify_1_str = info_tuple
rebuild_task_str = '{0}{1}{2}'.format(business_type, consts.SPLIT_STR, doc_id_str)
doc_id = int(doc_id_str)
doc_class = HILDoc if business_type == consts.HIL_PREFIX else AFCDoc
doc = doc_class.objects.filter(id=doc_id).first()
if doc is None:
self.online_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, None, None
elif doc.status != DocStatus.INIT.value:
self.online_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, None, None
doc.status = DocStatus.PROCESSING.value
doc.start_time = timezone.now()
doc.save()
except Exception as e:
rh.enqueue([task_str], is_priority)
self.online_log.error('{0} [process error (get doc info in)] [error={1}]'.format(
self.log_base, traceback.format_exc()))
raise e
else:
self.online_log.info('{0} [get_doc_info] [db save end] [task_str={1}] [is_priority={2}]'.format(
self.log_base, task_str, is_priority))
return doc, business_type, rebuild_task_str, classify_1_str
# def pdf_download(self, doc, pdf_path):
# 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.online_log.warn('{0} [edms download failed] [times={1}] [pdf_path={2}] '
# '[error={3}]'.format(self.log_base, times, pdf_path, traceback.format_exc()))
# edms_exc = str(e)
# else:
# break
# else:
# raise EDMSException(edms_exc)
# self.online_log.info('{0} [edms download success] [pdf_path={1}]'.format(self.log_base, pdf_path))
def bs_process(self, wb, ocr_data, bs_summary, unknown_summary, classify, res_list, pno, ino, part_idx):
sheets = ocr_data.get('data', [])
if not sheets:
res_list.append((pno, ino, part_idx, consts.RES_SUCCESS_EMPTY))
return
# confidence = ocr_data.get('confidence', 1)
img_name = 'page_{0}_img_{1}_{2}'.format(pno, ino, part_idx)
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)
# 真伪
verify_info = []
verify_dict = sheet.get('verify', {})
if verify_dict.get('verify_res') == 'fake':
verify_info.extend(verify_dict.get('verify_info', []))
# ['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', [])
verify_list = role_dict.setdefault('verify', [])
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 len(verify_info) > 0:
verify_list.append(
(pno, ino, '、'.join(verify_info))
)
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', [])
verify_list = card_dict.setdefault('verify', [])
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 len(verify_info) > 0:
verify_list.append(
(pno, ino, '、'.join(verify_info))
)
if cells_exists:
res_list.append((pno, ino, part_idx, consts.RES_SUCCESS))
else:
res_list.append((pno, ino, part_idx, consts.RES_SUCCESS_EMPTY))
def contract_process(self, classify, ocr_data, contract_result, res_list, pno, ino, part_idx,
img_path, contract_result_compare):
contract_dict = ocr_data.get('data')
if not contract_dict or contract_dict.get('page_num') is None or contract_dict.get('page_info') is None:
res_list.append((pno, ino, part_idx, consts.RES_SUCCESS_EMPTY))
return
res_list.append((pno, ino, part_idx, consts.RES_SUCCESS))
page_num = contract_dict.get('page_num')
if page_num.startswith('page_'):
page_num_only = page_num.split('_')[-1]
else:
page_num_only = page_num
rebuild_page_info = []
text_key = 'words'
position_key = 'position'
for key, value in contract_dict.get('page_info', {}).items():
if value is None:
rebuild_page_info.append((key, ))
elif text_key in value:
if value[text_key] is None:
rebuild_page_info.append((key,))
elif isinstance(value[text_key], str):
rebuild_page_info.append((key, value[text_key]))
elif isinstance(value[text_key], list):
rebuild_page_info.append((key,))
for row_list in value[text_key]:
rebuild_page_info.append(row_list)
else:
rebuild_page_info.append((key,))
for sub_key, sub_value in value.items():
if sub_value is None:
rebuild_page_info.append((sub_key,))
elif text_key in sub_value:
if sub_value[text_key] is None:
rebuild_page_info.append((sub_key,))
elif isinstance(sub_value[text_key], str):
rebuild_page_info.append((sub_key, sub_value[text_key]))
elif isinstance(sub_value[text_key], list):
rebuild_page_info.append((sub_key,))
for row_list in sub_value[text_key]:
rebuild_page_info.append(row_list)
contract_result.setdefault(classify, dict()).setdefault(page_num_only, []).append(rebuild_page_info)
page_compare_dict = {
consts.IMG_PATH_KEY: img_path,
consts.ALL_POSITION_KEY: {},
}
for key, value in contract_dict.get('page_info', {}).items():
if not isinstance(value, dict):
continue
elif text_key in value:
position_list = value.get(position_key, [])
page_compare_dict[consts.ALL_POSITION_KEY][key] = position_list if isinstance(position_list, list) else []
if value[text_key] is None:
page_compare_dict[key] = ''
elif isinstance(value[text_key], str):
page_compare_dict[key] = value[text_key]
elif isinstance(value[text_key], list):
page_compare_dict[key] = value[text_key]
else:
page_compare_dict[key] = {}
page_compare_dict[consts.ALL_POSITION_KEY][key] = {}
for sub_key, sub_value in value.items():
position_list = sub_value.get(position_key, [])
page_compare_dict[consts.ALL_POSITION_KEY][key][sub_key] = position_list if isinstance(
position_list, list) else []
if sub_value[text_key] is None:
page_compare_dict[key][sub_key] = ''
elif isinstance(sub_value[text_key], str):
page_compare_dict[key][sub_key] = sub_value[text_key]
contract_result_compare.setdefault(classify, dict())[consts.ASP_KEY] = contract_dict.get(consts.ASP_KEY, False)
# "position" = [xmin, ymin, xmax, ymax]
contract_result_compare.setdefault(classify, dict())[page_num_only] = page_compare_dict
@staticmethod
def rebuild_position(src_position):
# 'position': {'left': 470, 'top': 671, 'right': 542, 'bottom': 694}
# 'width'='right-left', 'height'='bottom-top'
# 'position': {'left': 470, 'top': 671, 'width': 542, 'height': 694}
try:
left = src_position.get('left', 0)
top = src_position.get('top', 0)
right = src_position.get('right', 0)
bottom = src_position.get('bottom', 0)
width = right - left
height = bottom - top
return {
'left': left,
'top': top,
'width': width,
'height': height,
}
except Exception as e:
return {
'left': 0,
'top': 0,
'width': 0,
'height': 0,
}
def license1_process(self, ocr_data, license_summary, classify, res_list, pno, ino, part_idx, img_path, do_dda,
dda_id_bc_mapping):
# 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, part_idx, consts.RES_SUCCESS_EMPTY))
return
if isinstance(license_data, dict):
pre, suf = os.path.splitext(img_path)
base64_img = license_data.pop('base64_img', '')
is_save = True if len(base64_img) > 0 else False
section_img_path = '{0}_{1}{2}'.format(pre, part_idx, suf) if is_save else img_path
if is_save:
try:
with open(section_img_path, "wb") as fh:
fh.write(base64.b64decode(base64_img.encode()))
except Exception as e:
self.online_log.warn(
'{0} [section img save failed] [img_path={1}]'
' [part_idx={2}]'.format(self.log_base, img_path, part_idx))
else:
is_save = False
section_img_path = img_path
# 保单
if classify == consts.INSURANCE_CLASSIFY:
product_result = ['', '', '']
product_result_position = [dict(), dict(), dict()]
min_char_count_1 = 1000
min_char_count_2 = 1000
for product in license_data.get('result', {}).get('productList', []):
name = product.get('name', {}).get('words', '')
if name.find('机动车损失') != -1 or name.find('汽车损失') != -1 or name.find('车损险') != -1 or \
name.find('车损失险') != -1 or name.find('车损失保险') != -1:
if len(name) < min_char_count_1:
min_char_count_1 = len(name)
product_result[0] = product.get('coverage', {}).get('words', '')
product_result[2] = product.get('deductible_franchise', {}).get('words', '')
product_result_position[0] = self.rebuild_position(product.get('coverage', {}).get(
'position', {}))
product_result_position[2] = self.rebuild_position(product.get('deductible_franchise', {}).get(
'position', {}))
elif name.find('第三者责任') != -1:
if len(name) < min_char_count_2:
min_char_count_2 = len(name)
product_result[1] = product.get('coverage', {}).get('words', '')
product_result_position[1] = self.rebuild_position(product.get('coverage', {}).get(
'position', {}))
special_str = license_data.get('result', {}).get('1stBeneficiary', {}).get('words', '')
special = '无'
if special_str.find('宝马') != -1 or special_str.find('先锋国际融资租赁有限公司') != -1:
special = '有'
insurance_ocr_result = {
'被保险人姓名': license_data.get('result', {}).get('insured', {}).get('name', {}).get('words', ''),
'被保险人证件号码': license_data.get('result', {}).get('insured', {}).get('certiCode', {}).get('words', ''),
'车架号': license_data.get('result', {}).get('vehicle', {}).get('VIN', {}).get('words', ''),
'机动车损失保险金额': product_result[0],
'机动车第三者责任保险金额': product_result[1],
'机动车损失保险绝对免赔率/绝对免赔额': product_result[2],
'保险费合计': license_data.get('result', {}).get('premiumSum', {}).get('words', ''),
'保险起始日期': license_data.get('result', {}).get('startDate', {}).get('words', ''),
'保险截止日期': license_data.get('result', {}).get('endDate', {}).get('words', ''),
'保单章': license_data.get('result', {}).get('seal', {}).get('words', ''),
'特别约定第一受益人': special,
consts.IMG_PATH_KEY: img_path,
consts.SECTION_IMG_PATH_KEY: section_img_path,
}
position_dict = {
'被保险人姓名': {consts.FIELD_POSITION_KEY: self.rebuild_position(license_data.get('result', {}).get(
'insured', {}).get('name', {}).get('position', {}))},
'被保险人证件号码': {consts.FIELD_POSITION_KEY: self.rebuild_position(license_data.get('result', {}).get(
'insured', {}).get('certiCode', {}).get('position', {}))},
'车架号': {consts.FIELD_POSITION_KEY: self.rebuild_position(license_data.get('result', {}).get(
'vehicle', {}).get('VIN', {}).get('position', {}))},
'机动车损失保险金额': {consts.FIELD_POSITION_KEY: product_result_position[0]},
'机动车第三者责任保险金额': {consts.FIELD_POSITION_KEY: product_result_position[1]},
'机动车损失保险绝对免赔率/绝对免赔额': {consts.FIELD_POSITION_KEY: product_result_position[2]},
'保险费合计': {consts.FIELD_POSITION_KEY: self.rebuild_position(license_data.get('result', {}).get(
'premiumSum', {}).get('position', {}))},
'保险起始日期': {consts.FIELD_POSITION_KEY: self.rebuild_position(license_data.get('result', {}).get(
'startDate', {}).get('position', {}))},
'保险截止日期': {consts.FIELD_POSITION_KEY: self.rebuild_position(license_data.get('result', {}).get(
'endDate', {}).get('position', {}))},
'保单章': {consts.FIELD_POSITION_KEY: self.rebuild_position(license_data.get('result', {}).get(
'seal', {}).get('position', {}))},
'特别约定第一受益人': {consts.FIELD_POSITION_KEY: self.rebuild_position(license_data.get('result', {}).get(
'1stBeneficiary', {}).get('position', {}))},
}
insurance_ocr_result[consts.ALL_POSITION_KEY] = position_dict
license_summary.setdefault(classify, []).append(insurance_ocr_result)
# DDA
elif classify == consts.DDA_CLASSIFY:
pro = ocr_data.get('confidence', 0)
if pro < consts.DDA_PRO_MIN:
res_list.append((pno, ino, part_idx, consts.RES_SUCCESS_EMPTY))
return
dda_ocr_result = {}
position_dict = {}
for key, value in license_data.get('result', {}).items():
dda_ocr_result[key] = value.get('words', '')
position_dict[key] = {
consts.FIELD_POSITION_KEY: value.get('position', {})
}
dda_ocr_result[consts.DDA_IMG_PATH] = img_path
dda_ocr_result[consts.DDA_PRO] = pro
dda_ocr_result[consts.IMG_PATH_KEY] = img_path
dda_ocr_result[consts.SECTION_IMG_PATH_KEY] = section_img_path
dda_ocr_result[consts.ALL_POSITION_KEY] = position_dict
license_summary.setdefault(classify, []).append(dda_ocr_result)
# 抵押登记豁免函
elif classify == consts.HMH_CLASSIFY:
hmh_ocr_result = {}
position_dict = {}
for key, value in license_data.get('words_result', {}).items():
hmh_ocr_result[key] = value.get('words', '')
location_list = value.get('location', [-1, -1, -1, -1])
if len(location_list) == 4:
position_dict[key] = {
consts.FIELD_POSITION_KEY: {
'top': location_list[1],
'left': location_list[0],
'height': location_list[-1] - location_list[1],
'width': location_list[2] - location_list[0]
}
}
hmh_ocr_result[consts.IMG_PATH_KEY] = img_path
hmh_ocr_result[consts.SECTION_IMG_PATH_KEY] = section_img_path
hmh_ocr_result[consts.ALL_POSITION_KEY] = position_dict
license_summary.setdefault(classify, []).append(hmh_ocr_result)
# 二手车交易凭证
elif classify == consts.JYPZ_CLASSIFY:
jypz_ocr_result = {}
position_dict = {}
for key, value in license_data.get('result', {}).items():
jypz_ocr_result[key] = value.get('words', '')
position_dict[key] = {
consts.FIELD_POSITION_KEY: value.get('position', {})
}
jypz_ocr_result[consts.IMG_PATH_KEY] = img_path
jypz_ocr_result[consts.SECTION_IMG_PATH_KEY] = section_img_path
jypz_ocr_result[consts.ALL_POSITION_KEY] = position_dict
license_summary.setdefault(classify, []).append(jypz_ocr_result)
# 车辆登记证 3/4页结果整合
elif classify == consts.MVC_CLASSIFY:
rebuild_data_dict = {}
position_dict = {}
mvc_page = license_data.pop('page', 'VehicleRCI')
mvc_res = license_data.pop('results', {})
if mvc_page == 'VehicleRegArea':
rebuild_data_dict['机动车登记证书编号'] = mvc_res.get('机动车登记证书编号', {}).get('words', '')
code_position_list = mvc_res.get('机动车登记证书编号', {}).get('position', [0, 0, 0, 0])
if len(code_position_list) == 4:
position_dict['机动车登记证书编号'] = {
consts.FIELD_POSITION_KEY: {
'top': code_position_list[1],
'left': code_position_list[0],
'height': code_position_list[-1],
'width': code_position_list[2],
}
}
for register_info in mvc_res.get('登记信息', []):
register_info.pop('register_type', None)
register_info.pop('register_type_name', None)
for cn_key, detail_dict in register_info.items():
rebuild_data_dict.setdefault(cn_key, []).append(
detail_dict.get('words', ''))
tmp_position_list = detail_dict.get('position', [0, 0, 0, 0])
if len(tmp_position_list) == 4:
position_dict.setdefault(cn_key, []).append(
{
consts.FIELD_POSITION_KEY: {
'top': tmp_position_list[1],
'left': tmp_position_list[0],
'height': tmp_position_list[-1],
'width': tmp_position_list[2],
}
}
)
rebuild_data_dict[consts.ALL_POSITION_KEY_2] = position_dict
rebuild_data_dict[consts.IMG_PATH_KEY_2] = img_path
rebuild_data_dict[consts.SECTION_IMG_PATH_KEY_2] = section_img_path
else:
for cn_key, detail_dict in mvc_res.items():
rebuild_data_dict[cn_key] = detail_dict.get('words', '')
position_list = detail_dict.get('position', [0, 0, 0, 0])
if len(position_list) == 4:
position_dict[cn_key] = {
consts.FIELD_POSITION_KEY: {
'top': position_list[1],
'left': position_list[0],
'height': position_list[-1],
'width': position_list[2],
}
}
rebuild_data_dict[consts.ALL_POSITION_KEY] = position_dict
rebuild_data_dict[consts.IMG_PATH_KEY] = img_path
rebuild_data_dict[consts.SECTION_IMG_PATH_KEY] = section_img_path
del mvc_res
license_summary.setdefault(classify, []).append(rebuild_data_dict)
# for mvc_dict in license_data:
# mvc_dict[consts.IMG_PATH_KEY] = img_path
# 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
# license_summary.setdefault(classify, []).extend(license_data)
# 身份证真伪
elif classify == consts.IC_CLASSIFY:
id_card_dict = {}
position_dict = {}
card_type = license_data.get('type', '')
is_ic = card_type.startswith('身份证')
is_info_side = card_type.endswith('信息面')
id_card_dict['类别'] = '0' if is_ic else '1'
if is_ic:
field_map = consts.IC_MAP_0 if is_info_side else consts.IC_MAP_1
else:
field_map = consts.RP_MAP_0 if is_info_side else consts.RP_MAP_1
for write_field, search_field in field_map:
id_card_dict[write_field] = license_data.get('words_result', {}).get(search_field, {}).get('words', '')
location_list = license_data.get('words_result', {}).get(search_field, {}).get(
'location', [-1, -1, -1, -1])
if len(location_list) == 4:
position_dict[write_field] = {
consts.FIELD_POSITION_KEY: {
'top': location_list[1],
'left': location_list[0],
'height': location_list[-1] - location_list[1],
'width': location_list[2] - location_list[0]
}
}
if not is_info_side:
start_time = license_data.get('words_result', {}).get('签发日期', {}).get('words', '')
end_time = license_data.get('words_result', {}).get('失效日期', {}).get('words', '')
id_card_dict['有效期限'] = '{0}-{1}'.format(start_time, end_time)
end_time_location_list = license_data.get('words_result', {}).get('失效日期', {}).get(
'location', [-1, -1, -1, -1])
if len(end_time_location_list) == 4:
position_dict['有效期限'] = {
consts.FIELD_POSITION_KEY: {
'top': end_time_location_list[1],
'left': end_time_location_list[0],
'height': end_time_location_list[-1] - end_time_location_list[1],
'width': end_time_location_list[2] - end_time_location_list[0]
}
}
if not is_info_side:
id_card_dict[consts.IMG_PATH_KEY_2] = img_path
id_card_dict[consts.ALL_POSITION_KEY_2] = position_dict
id_card_dict[consts.SECTION_IMG_PATH_KEY_2] = section_img_path
else:
id_card_dict[consts.ALL_POSITION_KEY] = position_dict
id_card_dict[consts.IMG_PATH_KEY] = img_path
id_card_dict[consts.SECTION_IMG_PATH_KEY] = section_img_path
if is_ic and is_save:
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.online_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.online_log.info(
'{0} [ocr_4 success] [img_path={1}] [speed_time={2}]'.format(
self.log_base, img_path, speed_time))
break
else:
self.online_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)
if do_dda and isinstance(id_card_dict.get(consts.IC_KEY_FIELD[0]), str) and \
isinstance(id_card_dict.get(consts.IC_KEY_FIELD[1]), str):
ic_name = id_card_dict.get(consts.IC_KEY_FIELD[0], '').strip()
ic_id = id_card_dict.get(consts.IC_KEY_FIELD[1], '').strip()
if len(ic_name) > 0 and len(ic_id) > 0:
dda_id_bc_mapping.setdefault(consts.IC_FIELD, []).append((ic_name, ic_id, img_path))
license_summary.setdefault(classify, []).append(id_card_dict)
# 购车发票 & 二手车发票
elif classify == consts.MVI_CLASSIFY or classify == consts.UCI_CLASSIFY:
rebuild_data_dict = {}
position_dict = {}
mvi_res = license_data.pop('result', {})
for en_key, detail_dict in mvi_res.items():
rebuild_data_dict[detail_dict.get('chinese_key', '')] = detail_dict.get('words', '')
position_dict[detail_dict.get('chinese_key', '')] = {
consts.FIELD_POSITION_KEY: detail_dict.get('position', {})
}
rebuild_data_dict['新旧版式'] = license_data.get('layout', '')
rebuild_data_dict[consts.IMG_PATH_KEY] = img_path
rebuild_data_dict[consts.SECTION_IMG_PATH_KEY] = section_img_path
rebuild_data_dict[consts.ALL_POSITION_KEY] = position_dict
license_summary.setdefault(classify, []).append(rebuild_data_dict)
# 其他
else:
for res_dict in license_data:
res_dict[consts.IMG_PATH_KEY] = img_path
res_dict[consts.SECTION_IMG_PATH_KEY] = section_img_path
license_summary.setdefault(classify, []).extend(license_data)
res_list.append((pno, ino, part_idx, consts.RES_SUCCESS))
def license2_process(self, ocr_res_2, license_summary, pid, classify, res_list, pno, ino, part_idx, img_path, do_dda, dda_id_bc_mapping, file_data):
if ocr_res_2.get('ErrorCode') in consts.SUCCESS_CODE_SET:
res_list.append((pno, ino, part_idx, 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, '')
ocr_res_2[consts.IMG_PATH_KEY] = img_path
license_summary.setdefault(classify, []).append(ocr_res_2)
if do_dda and isinstance(ocr_res_2.get(consts.BC_KEY_FIELD), str):
bc_no = ocr_res_2[consts.BC_KEY_FIELD].strip()
if len(bc_no) > 0:
dda_id_bc_mapping.setdefault(consts.BC_FIELD, []).append((bc_no, img_path))
else:
# 营业执照等
pre, suf = os.path.splitext(img_path)
src_section_img_path = img_path if file_data is None else '{0}_{1}{2}'.format(pre, part_idx, suf)
is_save = False
for res_idx, result_dict in enumerate(ocr_res_2.get('ResultList', [])):
image_data = result_dict.get('image_data', '')
if len(image_data) > 0:
position = {}
angle = 0
section_img_path = '{0}_{1}_{2}{3}'.format(pre, part_idx, res_idx, suf)
try:
with open(section_img_path, "wb") as fh:
fh.write(base64.b64decode(image_data.encode()))
except Exception as e:
self.online_log.warn(
'{0} [section img save failed] [img_path={1}]'
' [part_idx={2}] [res_idx={3}]'.format(self.log_base, img_path, part_idx, res_idx))
else:
is_save = True
section_img_path = src_section_img_path
position = result_dict.get('position', {})
angle = result_dict.get('angle', 0)
res_dict = {}
position_dict = {}
for field_dict in result_dict.get('FieldList', []):
res_dict[field_dict.get('chn_key', '')] = field_dict.get('value', '')
position_dict[field_dict.get('chn_key', '')] = {
consts.FIELD_POSITION_KEY: field_dict.get('position', {}),
consts.FIELD_QUAD_KEY: field_dict.get('quad', []),
}
position_dict[consts.POSITION_KEY] = position
position_dict[consts.ANGLE_KEY] = angle
res_dict[consts.IMG_PATH_KEY] = img_path
res_dict[consts.SECTION_IMG_PATH_KEY] = section_img_path
res_dict[consts.ALL_POSITION_KEY] = position_dict
license_summary.setdefault(classify, []).append(res_dict)
if is_save and file_data is not None:
try:
with open(src_section_img_path, "wb") as fh:
fh.write(base64.b64decode(file_data.encode()))
except Exception as e:
self.online_log.warn(
'{0} [section img save failed] [img_path={1}]'
' [part_idx={2}]'.format(self.log_base, img_path, part_idx))
else:
res_list.append((pno, ino, part_idx, consts.RES_FAILED_2))
@staticmethod
def license_rebuild(license_summary):
ic_merge = False
rp_merge = False
for classify in (consts.IC_CLASSIFY, consts.MVI_CLASSIFY, consts.MVC_CLASSIFY):
license_list = license_summary.get(classify)
if not license_list:
continue
if classify == consts.IC_CLASSIFY: # 身份证、居住证分开,先正面,后反面
key, _, _ = consts.FIELD_ORDER_MAP.get(classify)
ic_side1_list = []
ic_side2_list = []
rp_side1_list = []
rp_side2_list = []
for license_dict in license_list:
is_rp = license_dict.pop('类别', '0')
if key in license_dict:
if is_rp == '1':
rp_side2_list.append(license_dict)
else:
ic_side2_list.append(license_dict)
elif is_rp == '1':
rp_side1_list.append(license_dict)
else:
ic_side1_list.append(license_dict)
ic_merge = len(ic_side1_list) == len(ic_side2_list) == 1
rp_merge = len(rp_side1_list) == len(rp_side2_list) == 1
ic_side1_list.extend(ic_side2_list)
rp_side1_list.extend(rp_side2_list)
if ic_side1_list:
# license_list = ic_side1_list
license_summary[classify] = ic_side1_list
else:
license_summary.pop(classify, None)
if rp_side1_list:
license_summary[consts.RP_CLASSIFY] = rp_side1_list
ic_side1_list = ic_side2_list = rp_side1_list = rp_side2_list = None
if classify == consts.MVI_CLASSIFY: # 机动车销售统一发票, 增加不含税价(逻辑计算)
for license_dict in license_list:
price = ''
rate_str = license_dict.get('增值税税率')
price_total_str = license_dict.get('价税合计小写')
if rate_str is not None and price_total_str is not None:
try:
rate = int(rate_str.rstrip('%'))
price_total = float(price_total_str)
except Exception as e:
pass
else:
price = round(price_total * 100 / (rate + 100), 2)
license_dict['不含税价(逻辑计算)'] = price
if classify == consts.MVC_CLASSIFY: # 机动车登记证先1/2页,后3/4页
key, _, _ = consts.FIELD_ORDER_MAP.get(classify)
page_1_2 = []
page_3_4 = []
for license_dict in license_list:
if key in license_dict:
page_3_4.append(license_dict)
else:
page_1_2.append(license_dict)
page_1_2.extend(page_3_4)
license_summary[classify] = page_1_2
page_1_2 = page_3_4 = None
return ic_merge, rp_merge
def parse_img_path(self, 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
def get_most(self, value_list):
if value_list:
most_common = Counter(value_list).most_common(1)
return most_common[0][0] if most_common else None
def date_format(self, 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):
classify_info = {}
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]['verify'].extend(bs_summary[card]['verify'])
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]
most_classify = self.get_most(merged_bs_summary[main_card]['classify'])
classify_count = classify_info.get(most_classify, 0)
classify_info[most_classify] = classify_count + 1
merged_bs_summary[main_card]['classify'] = most_classify
merged_bs_summary[main_card]['role'] = self.get_most(merged_bs_summary[main_card]['role'])
del bs_summary
return merged_bs_summary, classify_info
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(self, bs_summary):
# bs_summary = {
# '卡号': {
# 'classify': 0,
# 'confidence': 0.9,
# 'role': '柳雪',
# 'code': [('page', 'code'), ],
# 'verify': [(pno, ino, reason_str), ]
# 'print_time': 'datetime',
# 'start_date': 'datetime',
# 'end_date': 'datetime',
# 'sheet': ['sheet_name']
# }
# }
res = []
for bs_info in bs_summary.values():
try:
print_date = bs_info.get('print_time', '').strftime("%Y-%m-%d")
except Exception as e:
try:
print_date = bs_info.get('end_date', '').strftime("%Y-%m-%d")
except Exception as e:
print_date = ''
res.append(
{
'role': bs_info.get('role', ''),
'print_time': print_date,
'timedelta': bs_info.get('timedelta', ''),
'verify': bs_info.get('verify_res_ebank', True)
}
)
return res
def rebuild_contract(self, license_summary, contract_result_compare):
for classify, page_info_dict in contract_result_compare.items():
if classify == consts.CONTRACT_CLASSIFY:
res = {}
is_asp = page_info_dict.get(consts.ASP_KEY, False)
# is_asp = True
for key, (pno_not_asp, pno_asp, key1, key2) in consts.SE_AFC_CON_MAP.items():
pno = pno_asp if is_asp else pno_not_asp
if pno is None:
if isinstance(pno_asp, int):
continue
end_idx = 9
# end_idx = 9 if is_asp else 8
for i in range(1, end_idx):
res.setdefault(key, list()).append(page_info_dict.get(str(i), {}).get(key1, ''))
elif key2 is None:
res[key] = page_info_dict.get(str(pno), {}).get(key1, '')
res.setdefault(consts.IMG_PATH_KEY, dict())[key] = page_info_dict.get(str(pno), {}).get(
consts.IMG_PATH_KEY, '')
res.setdefault(consts.ALL_POSITION_KEY, dict())[key] = page_info_dict.get(str(pno), {}).get(
consts.ALL_POSITION_KEY, {}).get(key1, [])
else:
res[key] = page_info_dict.get(str(pno), {}).get(key1, {}).get(key2, '')
res.setdefault(consts.IMG_PATH_KEY, dict())[key] = page_info_dict.get(str(pno), {}).get(
consts.IMG_PATH_KEY, '')
res.setdefault(consts.ALL_POSITION_KEY, dict())[key] = page_info_dict.get(str(pno), {}).get(
consts.ALL_POSITION_KEY, {}).get(key1, {}).get(key2, [])
# res = {
# 'key': 'list or str',
# 'uniq_img_path_key': {
# 'key': 'str',
# },
# 'uniq_all_position_key': {
# 'key': 'list'
# }
# }
license_summary[classify] = [res]
elif classify == consts.CONTRACT_QRS_CLASSIFY:
res = {}
for key, (pno, key1) in consts.SE_AFC_CON_QRS_MAP.items():
res[key] = page_info_dict.get(str(pno), {}).get(key1, '')
res.setdefault(consts.IMG_PATH_KEY, dict())[key] = page_info_dict.get(str(pno), {}).get(
consts.IMG_PATH_KEY, '')
res.setdefault(consts.ALL_POSITION_KEY, dict())[key] = page_info_dict.get(str(pno), {}).get(
consts.ALL_POSITION_KEY, {}).get(key1, [])
license_summary[classify] = [res]
elif classify in consts.SE_HIL_CON_MAP:
res = {}
for key, (pno1, pno2, end_idx, key1, key2) in consts.SE_HIL_CON_MAP[classify].items():
if pno1 is None:
for i in range(1, end_idx):
res.setdefault(key, list()).append(page_info_dict.get(str(i), {}).get(key1, ''))
elif key2 is None:
tmp_res = page_info_dict.get(str(pno1), {}).get(key1)
img_pno = pno1
if tmp_res is None and isinstance(pno2, int):
tmp_res = page_info_dict.get(str(pno2), {}).get(key1, '')
img_pno = pno1
res[key] = tmp_res
res.setdefault(consts.IMG_PATH_KEY, dict())[key] = page_info_dict.get(str(img_pno), {}).get(
consts.IMG_PATH_KEY, '')
else:
tmp_res = page_info_dict.get(str(pno1), {}).get(key1, {}).get(key2)
img_pno = pno1
if tmp_res is None and isinstance(pno2, int):
tmp_res = page_info_dict.get(str(pno2), {}).get(key1, {}).get(key2, '')
img_pno = pno1
res[key] = tmp_res
res.setdefault(consts.IMG_PATH_KEY, dict())[key] = page_info_dict.get(str(img_pno), {}).get(
consts.IMG_PATH_KEY, '')
license_summary[classify] = [res]
elif classify in consts.SE_FSM_CON_MAP:
res = {}
for key, (pno1, key1) in consts.SE_FSM_CON_MAP[classify].items():
res[key] = page_info_dict.get(str(pno1), {}).get(key1)
res.setdefault(consts.IMG_PATH_KEY, dict())[key] = page_info_dict.get(str(img_pno), {}).get(
consts.IMG_PATH_KEY, '')
license_summary[classify] = [res]
def rebuild_bs_summary(self, bs_summary, unknown_summary):
# bs_summary = {
# '卡号': {
# 'count': 100,
# 'classify': [],
# 'confidence': [],
# 'role': [],
# 'code': [('page', 'code'), ],
# 'verify': [(pno, ino, reason_str), ]
# 'print_time': [],
# 'start_date': [],
# 'end_date': [],
# 'sheet': ['sheet_name']
# }
# }
#
# unknown_summary = {
# 0: {
# '户名': {
# 'classify': 0,
# 'confidence': [],
# 'role': '户名',
# 'code': [('page', 'code'), ],
# 'verify': [(pno, ino, reason_str), ]
# 'print_time': [],
# 'start_date': [],
# 'end_date': [],
# 'sheet': ['sheet_name']
# }
# }
# }
# 归为同一份流水的逻辑
# 所有图片均无卡号:同一分类同一户名归为同一份流水(如果同一分类下只有一个已知户名,则此分类下其他未知户名归为此户名)
# 所有图片只已知1卡号:其他未知卡号流水归为此卡号
# 所有图片已知多卡号: 1.根据相似度和图片数目合并相似已知卡号,并整理多数分类和户名集合
# 2.遍历所有未知卡号,进行过滤:当未知卡号分类与某已知卡号一致,且此未知卡号户名在此已知卡号户名集合中时,将未知卡号归为已知卡号。剩余未知卡号同一分类同一户名归为同一流水
# 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['verify'].extend(summary['verify'])
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
classify_info = {}
# 多卡号
else:
merged_bs_summary, classify_info = 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 classify_info.get(card_summary['classify'], 0) == 1 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['verify'].extend(summary['verify'])
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
def zip_2_pdfs(self, zip_task_queue, error_list):
while len(error_list) == 0:
# 1. 从redis队列中读取任务: AFC_111_0
task_str = rh.dequeue_zip()
if task_str is None:
self.online_log.info('{0} [zip_2_pdfs] [zip queue empty]'.format(self.log_base))
time.sleep(self.sleep_time_doc_get)
continue
self.online_log.info('{0} [zip_2_pdfs] [task={1}]'.format(self.log_base, task_str))
# 2. 修改doc状态: 识别中
zip_doc, business_type = self.get_zip_doc_info(task_str)
if zip_doc is None:
time.sleep(self.sleep_time_doc_get)
continue
# 3. 从ECM下载压缩包
doc_data_path = os.path.join(self.data_dir, business_type, consts.TMP_DIR_NAME, str(zip_doc.id))
os.makedirs(doc_data_path, exist_ok=True)
zip_path = os.path.join(doc_data_path, zip_doc.document_name)
for times in range(consts.RETRY_TIMES):
try:
self.edms.download(zip_path, zip_doc.metadata_version_id, zip_doc.document_scheme, business_type)
except Exception as e:
self.online_log.warn('{0} [zip_2_pdfs] [ecm download failed] [task={1}] [times={2}] '
'[error={3}]'.format(self.log_base, task_str, times,
traceback.format_exc()))
else:
self.online_log.info('{0} [zip_2_pdfs] [ecm download success] [task={1}] [times={2}] '
'[zip_path={3}]'.format(self.log_base, task_str, times, zip_path))
break
else:
try:
zip_doc.status = DocStatus.PROCESS_FAILED.value
zip_doc.save()
except Exception as e:
self.online_log.error('{0} [zip_2_pdfs] [process error (db save)] [task={1}] [error={2}]'.format(
self.log_base, task_str, traceback.format_exc()))
time.sleep(self.sleep_time_doc_get)
continue
# 4. 解压
extract_path = os.path.join(doc_data_path, 'extract_content')
os.makedirs(extract_path, exist_ok=True)
try:
pwd_list = get_pwd_list_from_str(zip_doc.document_name, zip_doc.password)
is_success = extract_zip_or_rar(zip_path, extract_path, pwd_list)
except Exception as e:
is_success = False
if not is_success:
self.online_log.warn('{0} [zip_2_pdfs] [extract failed] [task={1}] [error={2}]'.format(
self.log_base, task_str, traceback.format_exc()))
try:
zip_doc.status = DocStatus.PROCESS_FAILED.value
zip_doc.save()
except Exception as e:
self.online_log.error('{0} [zip_2_pdfs] [process error (db save)] [task={1}] [error={2}]'.format(
self.log_base, task_str, traceback.format_exc()))
time.sleep(self.sleep_time_doc_get)
continue
self.online_log.info('{0} [zip_2_pdfs] [extract success] [task={1}] [extract_path={2}]'.format(
self.log_base, task_str, extract_path))
# 5. 找出PDF文件重命名并移动到目标文件夹中。新建doc记录,新建task_str进入队列
pdf_paths = get_file_paths(extract_path, ['.pdf', '.PDF'])
count = 0
pdf_task_str_list = []
for pdf_path in pdf_paths:
if count > 50:
self.online_log.info('{0} [zip_2_pdfs] [pdf count > 50, skip] [task={1}]'.format(
self.log_base, task_str))
break
count += 1
try:
doc_class = HILDoc if business_type == consts.HIL_PREFIX else AFCDoc
pdf_doc = doc_class.objects.create(
metadata_version_id='from: {0}'.format(zip_doc.id),
application_id=zip_doc.application_id,
# main_applicant=applicant_data.get('mainApplicantName'),
# co_applicant=applicant_data.get('coApplicantName'),
# guarantor_1=applicant_data.get('guarantor1Name'),
# guarantor_2=applicant_data.get('guarantor2Name'),
document_name=os.path.basename(pdf_path),
document_scheme=zip_doc.document_scheme,
data_source=zip_doc.data_source,
upload_finish_time=zip_doc.upload_finish_time,
)
pdf_doc_data_path = os.path.join(self.data_dir, business_type, consts.TMP_DIR_NAME, str(pdf_doc.id))
os.makedirs(pdf_doc_data_path, exist_ok=True)
target_pdf_path = os.path.join(pdf_doc_data_path, '{0}.pdf'.format(pdf_doc.id))
shutil.move(pdf_path, target_pdf_path)
pdf_task_str = consts.SPLIT_STR.join([business_type, str(pdf_doc.id), '0'])
pdf_task_str_list.append(pdf_task_str)
except Exception as e:
self.online_log.warn('{0} [zip_2_pdfs] [recreate pdf task failed] [task={1}] [pdf_path={2}]'
' [error={3}]'.format(self.log_base, task_str, pdf_path,
traceback.format_exc()))
else:
self.online_log.info('{0} [zip_2_pdfs] [recreate pdf task success] [task={1}] '
'[pdf_task={2}]'.format(self.log_base, task_str, pdf_path,
traceback.format_exc()))
if len(pdf_task_str_list) > 0:
for pdf_task_str in pdf_task_str_list:
try:
zip_task_queue.put(pdf_task_str)
except Exception as e:
self.online_log.warn('{0} [zip_2_pdfs] [put pdf task failed] [task={1}] [pdf_task={2}]'
' [error={3}]'.format(self.log_base, task_str, pdf_task_str,
traceback.format_exc()))
else:
self.online_log.info('{0} [zip_2_pdfs] [zip task no pdf] [task={1}]'.format(self.log_base, task_str))
# 6. 完成,修改doc状态:识别完成
try:
zip_doc.status = DocStatus.COMPLETE.value
zip_doc.end_time = timezone.now()
zip_doc.duration = min((zip_doc.end_time - zip_doc.start_time).seconds, 32760)
zip_doc.save()
except Exception as e:
self.online_log.error('{0} [zip_2_pdfs] [process error (db save)] [task={1}] [error={2}]'.format(
self.log_base, task_str, traceback.format_exc()))
def pdf_2_img_2_queue(self, img_queue, todo_count_dict, lock, error_list, res_dict, finish_queue, zip_task_queue):
while self.switch:
try:
task_str = zip_task_queue.get(block=False)
is_priority = False
except Exception as e:
task_str, is_priority = rh.dequeue()
if task_str is None:
self.online_log.info('{0} [get_doc_info] [queue empty]'.format(self.log_base))
time.sleep(self.sleep_time_doc_get)
continue
self.online_log.info('{0} [get_doc_info] [task={1}] [is_priority={2}]'.format(
self.log_base, task_str, is_priority))
try:
# 1. 从队列获取文件信息
doc, business_type, task_str, classify_1_str = self.get_doc_info(task_str, is_priority)
# 队列为空时的处理
if doc is None:
time.sleep(self.sleep_time_doc_get)
continue
except Exception as e:
self.online_log.error('{0} [process error (get doc info out)] [error={1}]'.format(
self.log_base, traceback.format_exc()))
error_list.append(1)
return
else:
doc_data_path = os.path.join(self.data_dir, business_type, consts.TMP_DIR_NAME, str(doc.id))
os.makedirs(doc_data_path, exist_ok=True)
img_save_path = os.path.join(doc_data_path, 'img')
pdf_path = os.path.join(doc_data_path, '{0}.pdf'.format(doc.id))
pwd_list = get_pwd_list_from_str(doc.document_name, doc.password)
pdf_handler = PDFHandler(pdf_path, img_save_path, doc.document_name, pwd_list=pwd_list)
if classify_1_str == '0':
try:
# 2. 从EDMS获取PDF文件
# max_count_obj = Configs.objects.filter(id=2).first()
# try:
# max_img_count = int(max_count_obj.value)
# except Exception as e:
max_img_count = 500
for times in range(consts.RETRY_TIMES):
try:
if doc.application_id.startswith(consts.FIXED_APPLICATION_ID_PREFIX):
self.online_log.info('{0} [mo ni xia dan] [task={1}] [times={2}] '
'[pdf_path={3}]'.format(self.log_base, task_str,
times, pdf_path))
elif os.path.exists(pdf_path):
self.online_log.info('{0} [pdf from zip file] [task={1}] [times={2}] '
'[pdf_path={3}]'.format(self.log_base, task_str,
times, pdf_path))
else:
# self.edms.download(pdf_path, doc.metadata_version_id)
self.edms.download(pdf_path, doc.metadata_version_id, doc.document_scheme,
business_type)
self.online_log.info('{0} [ecm download success] [task={1}] [times={2}] '
'[pdf_path={3}]'.format(self.log_base, task_str,
times, pdf_path))
# 3.PDF文件提取图片
self.online_log.info('{0} [pdf to img start] [task={1}] [times={2}]'.format(
self.log_base, task_str, times))
start_time = time.time()
pdf_handler.extract_image(max_img_count)
end_time = time.time()
speed_time = int(end_time - start_time)
self.online_log.info('{0} [pdf to img end] [task={1}] [times={2}] [spend_time={3}]'.format(
self.log_base, task_str, times, speed_time))
except Exception as e:
self.online_log.warn('{0} [download or pdf to img failed] [task={1}] [times={2}] '
'[error={3}]'.format(self.log_base, task_str, times,
traceback.format_exc()))
else:
break
else:
raise Exception('download or pdf to img failed')
if pdf_handler.img_count == 0:
self.online_log.warn('{0} [pdf to img failed (pdf img empty)] [task={1}]'.format(
self.log_base, task_str))
raise Exception('pdf img empty')
elif pdf_handler.img_count >= max_img_count:
self.online_log.info('{0} [too many pdf image] [task={1}] [img_count={2}]'.format(
self.log_base, task_str, pdf_handler.img_count))
try:
report_table = HILOCRReport if business_type == consts.HIL_PREFIX else AFCOCRReport
report_table.objects.create(
case_number=doc.application_id,
request_team=RequestTeam.get_value(doc.document_scheme, 0),
request_trigger=RequestTrigger.get_value(doc.data_source, 0),
input_file=doc.document_name,
transaction_start=doc.start_time,
transaction_end=doc.start_time,
successful_at_this_level=False,
failure_reason=FailureReason.IMG_LIMIT.value,
process_name=ProcessName.ALL.value,
notes='pdf page count: {0}'.format(str(pdf_handler.img_count))
)
except Exception as e:
self.online_log.error('{0} [process error (report db save)] [error={1}]'.format(
self.log_base, traceback.format_exc()))
try:
doc.status = DocStatus.PROCESS_FAILED.value
doc.page_count = pdf_handler.page_count
doc.save()
except Exception as e:
self.online_log.error('{0} [process error (db save)] [error={1}]'.format(
self.log_base, traceback.format_exc()))
else:
try:
if pdf_handler.is_e_pdf:
doc.metadata = pdf_handler.metadata if pdf_handler.metadata is None else \
json.dumps(pdf_handler.metadata)
doc.page_count = pdf_handler.page_count
doc.save()
except Exception as e:
self.online_log.error('{0} [process error (db save)] [error={1}]'.format(
self.log_base, traceback.format_exc()))
with lock:
todo_count_dict[task_str] = pdf_handler.img_count
self.online_log.info('{0} [pdf_2_img_2_queue] [{1}] [is_ebank={2}]'.format(
self.log_base, task_str, pdf_handler.is_ebank
))
for img_idx, img_path in enumerate(pdf_handler.img_path_list):
while img_queue.full():
self.online_log.info('{0} [pdf_2_img_2_queue] [img queue full]'.format(self.log_base))
time.sleep(self.sleep_time_img_put)
if pdf_handler.is_ebank:
try:
text_list = pdf_handler.page_text_list[img_idx].pop('rebuild_text')
except Exception as e:
text_list = []
else:
text_list = []
img_queue.put((business_type, img_path, text_list))
# except EDMSException as e:
# try:
# doc.status = DocStatus.PROCESS_FAILED.value
# doc.save()
# self.online_log.warn('{0} [process failed (edms download)] [task={1}] [error={2}]'.format(
# self.log_base, task_str, traceback.format_exc()))
# except Exception as e:
# self.online_log.error('{0} [process error (db save 1)] [error={1}]'.format(
# self.log_base, traceback.format_exc()))
# error_list.append(1)
# return
except Exception as e:
try:
end_time = timezone.now()
report_table = HILOCRReport if business_type == consts.HIL_PREFIX else AFCOCRReport
report_table.objects.create(
case_number=doc.application_id,
request_team=RequestTeam.get_value(doc.document_scheme, 0),
request_trigger=RequestTrigger.get_value(doc.data_source, 0),
input_file=doc.document_name,
transaction_start=doc.start_time,
transaction_end=end_time,
successful_at_this_level=False,
failure_reason=FailureReason.PDF.value,
process_name=ProcessName.ALL.value,
)
except Exception as e:
self.online_log.error('{0} [process error (report db save)] [error={1}]'.format(
self.log_base, traceback.format_exc()))
try:
doc.status = DocStatus.PROCESS_FAILED.value
doc.page_count = pdf_handler.page_count
doc.save()
self.online_log.warn('{0} [process failed (pdf_2_img_2_queue)] [task={1}] '
'[error={2}]'.format(self.log_base, task_str, traceback.format_exc()))
except Exception as e:
self.online_log.error('{0} [process error (db save)] [error={1}]'.format(
self.log_base, traceback.format_exc()))
error_list.append(1)
return
else: # e-contract or or e-fsm-contract or e-hmh
try:
# pdf下载 处理 图片存储 识别
for times in range(consts.RETRY_TIMES):
try:
self.edms.download(pdf_path, doc.metadata_version_id, doc.document_scheme, business_type)
self.online_log.info('{0} [edms download success] [task={1}] [times={2}] '
'[pdf_path={3}]'.format(self.e_log_base, task_str, times, pdf_path))
self.online_log.info('{0} [pdf to img start] [task={1}] [times={2}]'.format(
self.e_log_base, task_str, times))
pdf_handler.e_contract_process()
self.online_log.info(
'{0} [pdf to img end] [task={1}] [times={2}]'.format(self.e_log_base, task_str, times))
except Exception as e:
self.online_log.warn('{0} [download or pdf to img failed] [task={1}] [times={2}] '
'[error={3}]'.format(self.e_log_base, task_str, times,
traceback.format_exc()))
else:
break
else:
raise Exception('download or pdf to img failed')
try:
doc.page_count = pdf_handler.page_count
doc.save()
except Exception as e:
self.online_log.error('{0} [process error (db save)] [error={1}]'.format(
self.log_base, traceback.format_exc()))
# AFC合同
if classify_1_str == str(consts.CONTRACT_CLASSIFY):
is_fsm = doc.data_source == consts.DATA_SOURCE_LIST[3]
ocr_result = afc_predict(pdf_handler.pdf_info, is_fsm=is_fsm)
page_res = {}
for page_num, page_info in ocr_result.get('page_info', {}).items():
if isinstance(page_num, str) and page_num.startswith('page_'):
page_res[page_num] = {
'classify': int(classify_1_str),
"is_asp": ocr_result.get('is_asp', False),
'page_num': page_num,
'page_info': page_info
}
# 送达地址确认书
elif classify_1_str == str(consts.CONTRACT_QRS_CLASSIFY):
ocr_result = afc_predict(pdf_handler.pdf_info, is_qrs=True)
page_num = 'page_1'
page_res = {
page_num: {
'classify': int(classify_1_str),
'page_num': page_num,
'page_info': ocr_result.pop(page_num, {})
}
}
# HIL合同
elif classify_1_str in consts.HIL_CONTRACT_TYPE_MAP:
is_fsm = doc.data_source == consts.DATA_SOURCE_LIST[3]
file_type_1 = consts.HIL_CONTRACT_TYPE_MAP.get(classify_1_str)
ocr_result_1 = hil_predict(pdf_handler.pdf_info, file_type_1, is_fsm=is_fsm)
rebuild_res_1 = {}
page_res = {}
for field_name, field_info in ocr_result_1.items():
page_num = field_info.pop('page', 'page_1')
rebuild_res_1.setdefault(page_num, dict())[field_name] = field_info
for page_num, page_info in rebuild_res_1.items():
if isinstance(page_num, str) and page_num.startswith('page_'):
page_res[page_num] = {
'classify': int(classify_1_str),
'page_num': page_num,
'page_info': page_info
}
# FSM合同 WEP MSI SC
elif classify_1_str in consts.FSM_CONTRACT_TYPE_MAP:
file_type = consts.FSM_CONTRACT_TYPE_MAP.get(classify_1_str)
ocr_result = fsm_predict(pdf_handler.pdf_info, file_type)
page_res = {}
for page_num, page_info in ocr_result.items():
if isinstance(page_num, str) and page_num.startswith('page_'):
page_res[page_num] = {
'classify': int(classify_1_str),
'page_num': page_num,
'page_info': page_info
}
# hmh
# else:
# pass
contract_res = {}
for img_path_tmp, page_key in pdf_handler.img_path_pno_list:
if classify_1_str == str(consts.HMH_CLASSIFY):
img_contract_res = {
'code': 1,
'data': [
{
'classify': consts.HMH_CLASSIFY,
'data': hmh_predict(pdf_handler.pdf_info)
}
]
}
else:
if page_key in page_res:
img_contract_res = {
'code': 1,
'data': [
{
'classify': page_res[page_key].pop('classify', consts.OTHER_CLASSIFY),
'data': page_res[page_key]
}
]
}
else:
img_contract_res = {
'code': 1,
'data': [
{
'classify': int(classify_1_str),
}
]
}
contract_res[img_path_tmp] = img_contract_res
with lock:
res_dict[task_str] = contract_res
finish_queue.put(task_str)
except Exception as e:
try:
doc.status = DocStatus.PROCESS_FAILED.value
doc.page_count = pdf_handler.page_count
doc.save()
self.online_log.warn('{0} [process failed (e-contract)] [task={1}] '
'[error={2}]'.format(self.e_log_base, task_str, traceback.format_exc()))
except Exception as e:
self.online_log.error('{0} [process error (db save)] [error={1}]'.format(
self.e_log_base, traceback.format_exc()))
error_list.append(1)
return
def img_2_ocr_1(self, img_queue, todo_count_dict, res_dict, finish_queue, lock, url, error_list):
while len(error_list) == 0 or not img_queue.empty():
try:
channel, img_path, text_list = img_queue.get(block=False)
except Exception as e:
# self.online_log.info('{0} [img_2_ocr_1] [queue empty]'.format(self.log_base))
time.sleep(self.sleep_time_img_get)
continue
else:
try:
self.online_log.info('{0} [img_2_ocr_1] [get img] [img_path={1}]'.format(self.log_base, img_path))
for times in range(consts.RETRY_TIMES):
try:
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,
"channel": channel,
}
if len(text_list) > 0:
json_data_1['text_list'] = text_list
start_time = time.time()
ocr_1_response = requests.post(url, json=json_data_1)
if ocr_1_response.status_code != 200:
raise OCR1Exception('ocr_1 status code: {0}'.format(ocr_1_response.status_code))
except Exception as e:
self.online_log.warn('{0} [ocr_1 failed] [times={1}] [url={2}] [img_path={3}] '
'[error={4}]'.format(self.log_base, times, url, img_path,
traceback.format_exc()))
else:
ocr_1_res = ocr_1_response.json()
end_time = time.time()
speed_time = int(end_time - start_time)
self.online_log.info('{0} [ocr_1 success] [img={1}] [url={2}] [speed_time={3}]'.format(
self.log_base, img_path, url, speed_time))
break
else:
ocr_1_res = {}
self.online_log.warn('{0} [ocr_1 failed] [img_path={1}] [url={2}]'.format(
self.log_base, img_path, url))
# continue
except Exception as e:
self.online_log.error('{0} [process error (ocr fetch)] [img_path={1}] [error={2}]'.format(
self.log_base, img_path, traceback.format_exc()))
else:
try:
del json_data_1
# /data/bmw-ocr-data/AFC/tmp/6/img/page_0_img_0.jpeg
# AFC_2
path_split = img_path.split('/')
task_str = consts.SPLIT_STR.join((path_split[-5], path_split[-3]))
with lock:
doc_res_dict = res_dict.setdefault(task_str, {})
doc_res_dict[img_path] = ocr_1_res
res_dict[task_str] = doc_res_dict
todo_count = todo_count_dict.get(task_str)
if todo_count == 1:
finish_queue.put(task_str)
del todo_count_dict[task_str]
else:
todo_count_dict[task_str] = todo_count - 1
except Exception as e:
self.online_log.error('{0} [process error (store ocr res)] [img_path={1}] [error={2}]'.format(
self.log_base, img_path, traceback.format_exc()))
def res_2_wb(self, res_dict, img_queue, finish_queue, error_list):
while len(error_list) == 0 or not img_queue.empty() or not finish_queue.empty():
try:
task_str = finish_queue.get(block=False)
except Exception as e:
# self.online_log.info('{0} [res_2_wb] [queue empty]'.format(self.log_base))
time.sleep(self.sleep_time_task_get)
continue
else:
self.online_log.info('{0} [res_2_wb] [get task] [task={1}]'.format(self.log_base, task_str))
ocr_1_res = res_dict.pop(task_str, {})
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
is_hil = True if business_type == consts.HIL_PREFIX else False
dda_id_bc_mapping = dict()
doc_data_path = os.path.join(self.data_dir, business_type, consts.TMP_DIR_NAME, doc_id_str)
excel_path = os.path.join(doc_data_path, '{0}.xlsx'.format(doc_id_str))
try:
doc = doc_class.objects.filter(id=doc_id).first()
# report_dict = {
# 'process': None or pdf or excel or edms
# 'idcard': True or False,
# 'bs': None or normal or mobile,
# }
report_list = [None, False, None, None, None, None]
do_dda = is_hil and doc.document_scheme == consts.DOC_SCHEME_LIST[1]
except Exception as e:
self.online_log.error('{0} [process error (db filter)] [task={1}] [error={2}]'.format(
self.log_base, task_str, traceback.format_exc()))
else:
try:
# 4.OCR结果并且构建excel文件
bs_classify_set = set()
bs_summary = {}
unknown_summary = {}
license_summary = {}
contract_result = {}
contract_result_compare = {}
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=KeywordsType.LOAN.value, on_off=True).values_list('keyword', flat=True)
wechat_keyword = Keywords.objects.filter(
type=KeywordsType.ALI_WECHART.value, on_off=True).values_list('keyword', flat=True)
repayments_keyword = Keywords.objects.filter(
type=KeywordsType.REPAYMENTS.value, on_off=True).values_list('keyword', flat=True)
wb = BSWorkbook(interest_keyword, salary_keyword, loan_keyword, wechat_keyword, repayments_keyword)
for img_path, res in ocr_1_res.items():
pno, ino = self.parse_img_path(img_path)
part_idx = 1
if res.get('code') == 1:
ocr_data_list = res.get('data', [])
if not isinstance(ocr_data_list, list):
res_list.append((pno, ino, part_idx, consts.RES_FAILED_3))
self.online_log.warn('{0} [ocr_1 res error] [img={1}]'.format(self.log_base, img_path))
else:
for part_idx, ocr_data in enumerate(ocr_data_list):
part_idx = part_idx + 1
classify = ocr_data.get('classify')
if classify is None:
res_list.append((pno, ino, part_idx, consts.RES_FAILED_3))
self.online_log.warn('{0} [ocr_1 res error] [img={1}]'.format(
self.log_base, img_path))
continue
elif classify in consts.OTHER_CLASSIFY_SET: # 其他类
res_list.append((pno, ino, part_idx, consts.RES_SUCCESS_OTHER))
continue
elif classify in consts.LICENSE_CLASSIFY_SET_1: # 证件1
self.license1_process(ocr_data, license_summary, classify, res_list, pno,
ino, part_idx, img_path, do_dda, dda_id_bc_mapping)
elif classify in consts.LICENSE_CLASSIFY_SET_2: # 证件2
pid, _, _, _, _, _ = consts.LICENSE_CLASSIFY_MAPPING.get(classify)
file_data = ocr_data.get('section_img')
if file_data is None:
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_2 = {
"pid": str(pid),
"filedata": file_data
}
ocr_url_2 = self.ocr_url_2_bc if classify == consts.BC_CLASSIFY else self.ocr_url_2
for times in range(consts.RETRY_TIMES):
try:
start_time = time.time()
ocr_2_response = requests.post(ocr_url_2, data=json_data_2)
if ocr_2_response.status_code != 200:
raise OCR2Exception('ocr_2 status code: {0}'.format(ocr_2_response.status_code))
except Exception as e:
self.online_log.warn(
'{0} [ocr_2 failed] [times={1}] [img_path={2}] [error={3}]'.format(
self.log_base, times, img_path, traceback.format_exc()))
else:
ocr_2_res = json.loads(ocr_2_response.text)
end_time = time.time()
speed_time = int(end_time - start_time)
self.online_log.info(
'{0} [ocr_2 success] [img={1}] [speed_time={2}]'.format(
self.log_base, img_path, speed_time))
if classify == consts.BC_CLASSIFY:
new_ocr_2_res = {}
position_dict = {}
get_info = False
bc_image_data = ''
position = {}
angle = 0
for page_info in ocr_2_res.get('PageInfo', []):
if get_info:
break
if page_info.get('ErrorCode', 1) in consts.SUCCESS_CODE_SET:
for bc_res_all in page_info.get('Result', []):
if get_info:
break
if bc_res_all.get('ErrorCode', 1) in consts.SUCCESS_CODE_SET:
for bc_res in bc_res_all.get('ResultList', []):
if get_info:
break
get_info = True
bc_image_data = bc_res.get('image_data', '')
position = bc_res.get('position', {})
angle = bc_res.get('angle', 0)
for field_info in bc_res.get('FieldList', []):
new_ocr_2_res[field_info.get('key', '')] = field_info.get('value', '')
position_dict[field_info.get('key', '')] = {
consts.FIELD_POSITION_KEY: field_info.get('position', {}),
consts.FIELD_QUAD_KEY: field_info.get('quad', []),
}
if get_info:
pre, suf = os.path.splitext(img_path)
if len(bc_image_data) > 0:
position = {}
angle = 0
section_img_path = '{0}_{1}_0{2}'.format(pre, part_idx, suf)
try:
with open(section_img_path, "wb") as fh:
fh.write(base64.b64decode(bc_image_data.encode()))
except Exception as e:
self.online_log.warn(
'{0} [bc section img save failed] [img_path={1}]'
' [part_idx={2}]]'.format(self.log_base, img_path, part_idx))
else:
section_img_path = img_path if ocr_data.get('section_img') is None else '{0}_{1}{2}'.format(pre, part_idx, suf)
if ocr_data.get('section_img') is not None:
try:
with open(section_img_path, "wb") as fh:
fh.write(base64.b64decode(ocr_data.get('section_img').encode()))
except Exception as e:
self.online_log.warn(
'{0} [bc section img save failed] [img_path={1}]'
' [part_idx={2}]'.format(self.log_base,
img_path, part_idx))
new_ocr_2_res['ErrorCode'] = 0
position_dict[consts.POSITION_KEY] = position
position_dict[consts.ANGLE_KEY] = angle
new_ocr_2_res[consts.SECTION_IMG_PATH_KEY] = section_img_path
new_ocr_2_res[consts.ALL_POSITION_KEY] = position_dict
name = '有'
json_data_3 = {
"file": file_data,
'card_res': new_ocr_2_res
}
card_name_response = requests.post(self.ocr_url_3, json_data_3)
if card_name_response.status_code == 200:
card_name_res = card_name_response.json()
if isinstance(card_name_res, dict) and \
card_name_res.get('data', {}).get('is_exists_name') == 0:
name = '无'
new_ocr_2_res['Name'] = name
else:
new_ocr_2_res = ocr_2_res
self.license2_process(new_ocr_2_res, license_summary, pid, classify,
res_list, pno, ino, part_idx, img_path,
do_dda, dda_id_bc_mapping, file_data=ocr_data.get('section_img'))
break
else:
res_list.append((pno, ino, part_idx, consts.RES_FAILED_2))
self.online_log.warn(
'{0} [ocr_2 failed] [img_path={1}]'.format(self.log_base, img_path))
elif classify in consts.CONTRACT_SET:
self.contract_process(classify, ocr_data, contract_result, res_list, pno,
ino, part_idx, img_path, contract_result_compare)
else: # 流水处理
bs_classify_set.add(classify)
self.bs_process(wb, ocr_data, bs_summary, unknown_summary, classify, res_list, pno, ino, part_idx)
else:
res_list.append((pno, ino, part_idx, consts.RES_FAILED_1))
self.online_log.info('{0} [ocr_1 res error] [img={1}]'.format(self.log_base, img_path))
self.online_log.info('{0} [task={1}] [bs_summary={2}] [unknown_summary={3}]'.format(
self.log_base, task_str, bs_summary, unknown_summary))
# self.license_log.info('[task={0}] [license_summary={1}]'.format(task_str, license_summary))
idcard_list = license_summary.get(consts.IC_CLASSIFY)
if idcard_list:
report_list[1] = True
self.idcard_log.info('[task={0}] [idcard={1}]'.format(task_str, idcard_list))
if len(bs_classify_set) > 0:
if consts.ALI_WECHART_CLASSIFY & bs_classify_set:
report_list[2] = WorkflowName.MOBILE.value
else:
report_list[2] = WorkflowName.NORMAL.value
bs_name_list = []
for tmp_classify in bs_classify_set:
try:
bs_name = consts.CLASSIFY_LIST[tmp_classify][0]
except Exception as e:
bs_name = 'Unknown'
bs_name_list.append(bs_name)
report_list[4] = '、'.join(bs_name_list)
merged_bs_summary = self.rebuild_bs_summary(bs_summary, unknown_summary)
del unknown_summary
ic_merge, rp_merge = self.license_rebuild(license_summary)
# self.bs_log.info('[task={0}] [bs_summary={1}]'.format(task_str, merged_bs_summary))
self.online_log.info('{0} [task={1}] [merged_bs_summary={2}] [license_summary={3}] [contract={4}] '
'[res_list={5}]'.format(self.log_base, task_str, merged_bs_summary,
license_summary, contract_result, res_list))
except Exception as e:
report_list[0] = FailureReason.EXCEL.value
self.online_log.warn('{0} [process failed (res conformity)] [task={1}] [error={2}]'.format(
self.log_base, task_str, traceback.format_exc()))
try:
doc.status = DocStatus.PROCESS_FAILED.value
doc.save()
except Exception as e:
self.online_log.error('{0} [process error (db save)] [task={1}] [error={2}]'.format(
self.log_base, task_str, traceback.format_exc()))
else:
try:
# 重构Excel文件
# src_excel_path = os.path.join(doc_data_path, 'src.xlsx')
# wb.save(src_excel_path)
count_list = wb.rebuild(merged_bs_summary, license_summary, res_list, doc.document_scheme, contract_result, doc.metadata)
wb.save(excel_path)
except Exception as e:
report_list[0] = FailureReason.EXCEL.value
self.online_log.warn('{0} [process failed (wb rebuild)] [task={1}] [error={2}]'.format(
self.log_base, task_str, traceback.format_exc()))
try:
doc.status = DocStatus.PROCESS_FAILED.value
doc.save()
except Exception as e:
self.online_log.error('{0} [process error (db save)] [task={1}] [error={2}]'.format(
self.log_base, task_str, traceback.format_exc()))
else:
try:
# 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.online_log.warn(
'{0} [edms upload failed] [times={1}] [task={2}] [error={3}]'.format(
self.log_base, times, task_str, traceback.format_exc()))
edms_exc = str(e)
else:
break
else:
raise EDMSException(edms_exc)
except Exception as e:
report_list[0] = FailureReason.EDMS.value
doc.status = DocStatus.UPLOAD_FAILED.value
self.online_log.warn('{0} [process failed (edms upload)] [task={1}] [error={2}]'.format(
self.log_base, task_str, traceback.format_exc()))
else:
doc.status = DocStatus.COMPLETE.value
self.online_log.info('{0} [edms upload success] [task={1}]'.format(self.log_base, task_str))
finally:
try:
doc.end_time = timezone.now()
doc.duration = min((doc.end_time - doc.start_time).seconds, 32760)
for field, count in count_list:
if hasattr(doc, field):
setattr(doc, field, count)
doc.save()
except Exception as e:
self.online_log.error('{0} [process error (db save)] [task={1}] [error={2}]'.format(
self.log_base, task_str, traceback.format_exc()))
else:
self.online_log.info('{0} [process complete] [task={1}]'.format(self.log_base, task_str))
os.remove(excel_path)
# report新增流水真伪
try:
check_false_classify = set()
all_check_classify = set()
if isinstance(doc.metadata, str):
verify_field = 'verify_res_ebank'
else:
verify_field = 'verify_res_paper_bank'
for bs_info in merged_bs_summary.values():
all_check_classify.add(bs_info['classify'])
if verify_field not in bs_info:
report_list[5] = BSCheckResult.CHECK_FAILED.value
break
if not bs_info[verify_field]:
check_false_classify.add(bs_info['classify'])
else:
# 电子
if isinstance(doc.metadata, str):
if len(check_false_classify) > 0:
report_list[5] = BSCheckResult.CHECK_FALSE.value
else:
report_list[5] = BSCheckResult.CHECK_TRUE.value
# 纸质
else:
if check_false_classify & consts.BS_VERIFY_CLASSIFY:
report_list[5] = BSCheckResult.CHECK_FALSE.value
elif all_check_classify & consts.BS_VERIFY_CLASSIFY:
report_list[5] = BSCheckResult.CHECK_TRUE.value
else:
report_list[5] = BSCheckResult.NO_CHECK.value
except Exception as e:
report_list[5] = BSCheckResult.CHECK_FAILED.value
finally:
self.rebuild_contract(license_summary, contract_result_compare)
bs_rebuild = self.rebuild_bs(merged_bs_summary)
if len(bs_rebuild) > 0:
license_summary[consts.BS_CLASSIFY] = bs_rebuild
# 比对
if len(license_summary) > 0 and doc.document_scheme != consts.DOC_SCHEME_LIST[2]:
try:
is_ca = True if doc.document_scheme == consts.DOC_SCHEME_LIST[0] else False
# 更新OCR累计识别结果表
if business_type == consts.HIL_PREFIX:
result_class = HILOCRResult if is_ca else HILSEOCRResult
else:
result_class = AFCOCRResult if is_ca else AFCSEOCRResult
res_obj = result_class.objects.filter(application_id=doc.application_id).first()
if res_obj is None:
res_obj = result_class()
res_obj.application_id = doc.application_id
for classify, field in consts.RESULT_MAPPING.items():
if not hasattr(res_obj, field):
continue
license_list = license_summary.get(classify)
if not license_list:
continue
if classify == consts.IC_CLASSIFY and ic_merge:
license_list[0].update(license_list[1])
license_list.pop(1)
elif classify == consts.RP_CLASSIFY and rp_merge:
license_list[0].update(license_list[1])
license_list.pop(1)
old_res_str = getattr(res_obj, field)
if old_res_str is None:
last_res_str = json.dumps(license_list)
else:
old_res_list = json.loads(old_res_str)
old_res_list.extend(license_list)
last_res_str = json.dumps(old_res_list)
setattr(res_obj, field, last_res_str)
res_obj.save()
except Exception as e:
self.online_log.error(
'{0} [process error (ocr result save)] [task={1}] [error={2}]'.format(
self.log_base, task_str, traceback.format_exc()))
else:
self.online_log.info('{0} [ocr result save success] [task={1}] [res_id={2}]'.format(
self.log_base, task_str, res_obj.id))
# 触发比对
try:
# pass
compare.apply_async((doc.application_id, business_type, None, res_obj.id,
is_ca, True), queue='queue_compare')
except Exception as e:
self.online_log.error(
'{0} [process error (comparison info send)] [task={1}] [error={2}]'.format(
self.log_base, task_str, traceback.format_exc()))
else:
self.online_log.info('{0} [comparison info send success] [task={1}] '
'[res_id={2}]'.format(self.log_base, task_str, res_obj.id))
# DDA处理
if do_dda:
# 入库
try:
dda_record = DDARecords.objects.filter(
application_id=doc.application_id).first()
if dda_record is None:
dda_record = DDARecords(application_id=doc.application_id)
except Exception as e:
report_list[3] = False
self.online_log.error('{0} [process error (dda db get)] [task={1}] '
'[error={2}]'.format(self.log_base, task_str, traceback.format_exc()))
else:
try:
if not dda_record.all_found:
found_time = timezone.now()
move_img_path_dict = dict()
ic_res_list = dda_id_bc_mapping.get(consts.IC_FIELD, [])
bc_res_list = dda_id_bc_mapping.get(consts.BC_FIELD, [])
self.online_log.info('{0} [dda process] [task={1}] [ic={2}] '
'[bc={3}]'.format(self.log_base, task_str,ic_res_list,
bc_res_list))
if not dda_record.is_dda_found:
try:
# DDA过滤,获取有效DDA
best_dda_res = None
dda_res_list = license_summary.get(consts.DDA_CLASSIFY, [])
if len(dda_res_list) > 0:
dda_res_list.sort(key=lambda x: x.get(consts.DDA_PRO, 0),
reverse=True)
best_dda_res = dda_res_list[0]
# tmp_best_dda_res = dda_res_list[0]
# if tmp_best_dda_res.get(consts.DDA_PRO, 0) >= consts.DDA_PRO_MIN:
# best_dda_res = tmp_best_dda_res
self.online_log.info(
'{0} [dda process] [task={1}] [dda={2}]'.format(
self.log_base, task_str, dda_res_list))
except Exception as e:
best_dda_res = None
dda_record.is_dda_found = False if best_dda_res is None else True
if dda_record.is_dda_found:
dda_path = best_dda_res.get(consts.DDA_IMG_PATH, '')
customer_name = best_dda_res.get(consts.DDA_IC_NAME, '')
customer_id = best_dda_res.get(consts.DDA_IC_ID, '')
account_id = best_dda_res.get(consts.DDA_BC_ID, '')
dda_record.dda_path = dda_path
dda_record.dda_found_time = found_time
dda_record.customer_name = customer_name
dda_record.customer_id = customer_id
dda_record.account_id = account_id
# move
move_img_path_dict.setdefault(
consts.DDA_FIELD, set()).add(dda_path)
if dda_record.is_dda_found:
try:
if not dda_record.is_id_found:
for ic_name, ic_id, ic_img_path in ic_res_list:
if ic_id == dda_record.customer_id \
or ic_name == dda_record.customer_name:
dda_record.is_id_found = True
dda_record.id_path = ic_img_path
dda_record.id_found_time = found_time
move_img_path_dict.setdefault(
consts.IC_FIELD, set()).add(ic_img_path)
break
else:
id_record = IDBCRecords.objects.filter(
application_id=doc.application_id,
target_id=dda_record.customer_id,
is_id=True).first()
if id_record is None:
id_record = IDBCRecords.objects.filter(
application_id=doc.application_id,
target_name=dda_record.customer_name,
is_id=True).first()
if id_record is not None:
dda_record.is_id_found = True
dda_record.id_path = id_record.file_path
dda_record.id_found_time = id_record.create_time
move_img_path_dict.setdefault(
consts.IC_FIELD, set()).add(id_record.file_path)
except Exception as e:
report_list[3] = False
self.online_log.error(
'{0} [process error (dda id process)] [task={1}] '
'[error={2}]'.format(self.log_base, task_str,
traceback.format_exc()))
try:
if not dda_record.is_bc_found:
for bc_no, bc_img_path in bc_res_list:
if bc_no == dda_record.account_id:
dda_record.is_bc_found = True
dda_record.bc_path = bc_img_path
dda_record.bc_found_time = found_time
move_img_path_dict.setdefault(
consts.BC_FIELD, set()).add(bc_img_path)
break
else:
bc_record = IDBCRecords.objects.filter(
application_id=doc.application_id,
target_id=dda_record.account_id,
is_id=False).first()
if bc_record is not None:
dda_record.is_bc_found = True
dda_record.bc_path = bc_record.file_path
dda_record.bc_found_time = bc_record.create_time
move_img_path_dict.setdefault(
consts.BC_FIELD, set()).add(bc_record.file_path)
except Exception as e:
report_list[3] = False
self.online_log.error(
'{0} [process error (dda bc process)] [task={1}] '
'[error={2}]'.format(self.log_base, task_str,
traceback.format_exc()))
if dda_record.is_dda_found and dda_record.is_id_found and dda_record.is_bc_found:
dda_record.all_found = True
dda_record.save()
# 图片移动
try:
if len(move_img_path_dict) > 0:
self.online_log.info(
'{0} [dda process] [task={1}] [move_img_path={2}]'.format(
self.log_base, task_str, move_img_path_dict))
wanting_dir = os.path.join(self.dda_wanting_dir, doc.application_id)
wanting_dir_exists = os.path.isdir(wanting_dir)
if dda_record.all_found:
target_dir = os.path.join(self.dda_complete_dir, doc.application_id)
if wanting_dir_exists:
shutil.move(wanting_dir, target_dir)
else:
os.makedirs(target_dir, exist_ok=True)
else:
target_dir = wanting_dir
if not wanting_dir_exists:
os.makedirs(target_dir, exist_ok=True)
for prefix, path_set in move_img_path_dict.items():
for idx, path in enumerate(path_set):
if os.path.isfile(path):
file_name = '{0}_{1}{2}'.format(
prefix, idx, os.path.splitext(path)[-1])
target_path = os.path.join(target_dir, file_name)
shutil.copyfile(path, target_path)
else:
self.online_log.warn(
'{0} [dda process] [img path empty] [task={1}] '
'[path={2}]'.format(self.log_base, task_str, path))
except Exception as e:
report_list[3] = False
self.online_log.error(
'{0} [process error (dda img move)] [task={1}] '
'[error={2}]'.format(self.log_base, task_str, traceback.format_exc()))
# id & bc 入库
try:
if not dda_record.is_dda_found and not dda_record.is_id_found:
ic_set = set()
for ic_name, ic_id, ic_img_path in ic_res_list:
query_str = '{0}{1}'.format(ic_name, ic_id)
if query_str in ic_set:
continue
ic_set.add(query_str)
IDBCRecords.objects.create(
application_id=doc.application_id,
target_name=ic_name,
target_id=ic_id,
is_id=True,
file_path=ic_img_path)
if not dda_record.is_dda_found and not dda_record.is_bc_found:
bc_set = set()
for bc_no, bc_img_path in bc_res_list:
if bc_no in bc_set:
continue
bc_set.add(bc_no)
IDBCRecords.objects.create(
application_id=doc.application_id,
target_id=bc_no,
is_id=False,
file_path=bc_img_path)
except Exception as e:
report_list[3] = False
self.online_log.error(
'{0} [process error (dda id&bc db save)] [task={1}] '
'[error={2}]'.format(self.log_base, task_str, traceback.format_exc()))
except Exception as e:
report_list[3] = False
self.online_log.error(
'{0} [process error (dda process)] [task={1}] '
'[error={2}]'.format(self.log_base, task_str, traceback.format_exc()))
else:
if report_list[3] is None:
report_list[3] = True
finally:
# report_dict = {
# 'process': None or pdf or excel or edms
# 'idcard': True or False,
# 'bs': None or normal or mobile,
# }
end_time = timezone.now()
report_table = HILOCRReport if business_type == consts.HIL_PREFIX else AFCOCRReport
try:
if report_list[0] is None:
report_table.objects.create(
case_number=doc.application_id,
request_team=RequestTeam.get_value(doc.document_scheme, 0),
request_trigger=RequestTrigger.get_value(doc.data_source, 0),
input_file=doc.document_name,
transaction_start=doc.start_time,
transaction_end=end_time,
process_name=ProcessName.ALL.value,
)
else:
report_table.objects.create(
case_number=doc.application_id,
request_team=RequestTeam.get_value(doc.document_scheme, 0),
request_trigger=RequestTrigger.get_value(doc.data_source, 0),
input_file=doc.document_name,
transaction_start=doc.start_time,
transaction_end=end_time,
successful_at_this_level=False,
failure_reason=report_list[0],
process_name=ProcessName.ALL.value,
)
except Exception as e:
self.online_log.error('{0} [process error (report db save)] [error={1}]'.format(
self.log_base, traceback.format_exc()))
try:
if report_list[1]:
report_table.objects.create(
case_number=doc.application_id,
request_team=RequestTeam.CONTROLLING.value,
request_trigger=RequestTrigger.DOCUPLOAD.value,
input_file=doc.document_name,
transaction_start=doc.start_time,
transaction_end=end_time,
process_name=ProcessName.IDCARD.value,
)
except Exception as e:
self.online_log.error('{0} [process error (report db save)] [error={1}]'.format(
self.log_base, traceback.format_exc()))
try:
if report_list[2] is not None:
is_ebank = True if isinstance(doc.metadata, str) else False
bank_name = report_list[4] if isinstance(report_list[4], str) else 'Unknown'
bs_check_result = report_list[5] if isinstance(report_list[5], int) else BSCheckResult.CHECK_FAILED.value
report_table.objects.create(
case_number=doc.application_id,
request_team=RequestTeam.get_value(doc.document_scheme, 0),
request_trigger=RequestTrigger.DOCUPLOAD.value,
input_file=doc.document_name,
transaction_start=doc.start_time,
transaction_end=end_time,
process_name=ProcessName.BS.value,
workflow_name=report_list[2],
bank_name=bank_name,
is_ebank=is_ebank,
bs_check_result=bs_check_result,
)
except Exception as e:
self.online_log.error('{0} [process error (report db save)] [error={1}]'.format(
self.log_base, traceback.format_exc()))
try:
if report_list[3] is not None:
report_table.objects.create(
case_number=doc.application_id,
request_team=RequestTeam.get_value(doc.document_scheme, 0),
request_trigger=RequestTrigger.DOCUPLOAD.value,
input_file=doc.document_name,
transaction_start=doc.start_time,
transaction_end=end_time,
successful_at_this_level=report_list[3],
process_name=ProcessName.DDA.value,
)
except Exception as e:
self.online_log.error('{0} [process error (report db save)] [error={1}]'.format(
self.log_base, traceback.format_exc()))
finally:
try:
# img_save_path = os.path.join(doc_data_path, 'img')
# write_zip_file(img_save_path, os.path.join(doc_data_path, '{0}_img.zip'.format(doc_id_str)))
# shutil.rmtree(img_save_path, ignore_errors=True)
pdf_path = os.path.join(doc_data_path, '{0}.pdf'.format(doc_id_str))
os.remove(pdf_path)
self.online_log.info('{0} [pdf & img removed] [task={1}]'.format(self.log_base, task_str))
except Exception as e:
self.online_log.error('{0} [process error (pdf & img remove)] [task={1}] [error={2}]'.format(
self.log_base, task_str, traceback.format_exc()))
def handle(self, *args, **kwargs):
db.close_old_connections()
lock = Lock()
with Manager() as manager:
error_list = manager.list()
todo_count_dict = manager.dict()
res_dict = manager.dict()
img_queue = Queue(self.img_queue_size)
finish_queue = Queue()
zip_task_queue = Queue()
process_list = []
zip_process = Process(target=self.zip_2_pdfs,
args=(zip_task_queue, error_list))
process_list.append(zip_process)
pdf_process = Process(target=self.pdf_2_img_2_queue,
args=(img_queue, todo_count_dict, lock, error_list, res_dict,
finish_queue, zip_task_queue))
process_list.append(pdf_process)
for url in self.ocr_1_urls.values():
ocr_1_process = Process(target=self.img_2_ocr_1, args=(
img_queue, todo_count_dict, res_dict, finish_queue, lock, url, error_list))
process_list.append(ocr_1_process)
wb_process = Process(target=self.res_2_wb, args=(res_dict, img_queue, finish_queue, error_list))
process_list.append(wb_process)
for p in process_list:
p.start()
for p in process_list:
p.join()
self.online_log.info('{0} [stop safely]'.format(self.log_base))