Skip to content

周伟奇 / bmw-ocr

Go to a project
Toggle navigation
Toggle navigation pinning
9e8023a0 by 周伟奇
Options

Merge branch 'feature/main2' into feature/main

2 parents 548dc7a0 c001972a
Inline Side-by-side
Showing 3 changed files with 89 additions and 663 deletions
src/apps/doc/management/commands/doc_ocr_process.py deleted 100644 → 0
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))
src/apps/doc/management/commands/idcard_statistics.py 0 → 100644
import re
import os
import ast
import datetime
from openpyxl import Workbook
from django.core.management import BaseCommand
from settings import conf
from common.mixins import LoggerMixin
from apps.doc.models import HILDoc, AFCDoc
from apps.doc import consts
class Command(BaseCommand, LoggerMixin):
def __init__(self):
super().__init__()
self.sheet_names = ('AFC', 'HIL')
self.header = ('申请号', '身份证号', '民族', '时间戳')
def add_arguments(self, parser):
parser.add_argument(
'--date',
default=datetime.date.today() - datetime.timedelta(days=1),
dest='date',
help='将要计算的日期，格式: 2018-01-01'
)
def handle(self, *args, **kwargs):
date = kwargs.get('date')
if isinstance(date, str):
if not re.match(r'\d{4}-\d{2}-\d{2}', date):
print('date format error')
return
date_str = date
else:
date_str = date.strftime('%Y-%m-%d')
excel_dir = os.path.join(conf.DATA_DIR, 'AFC', 'Logs')
if not os.path.exists(excel_dir):
print('excel dir not exists')
return
excel_path = os.path.join(excel_dir, 'idcard_{0}.xlsx'.format(date_str))
log_path = os.path.join(conf.LOG_DIR, 'idcard.log.{0}'.format(date_str))
if not os.path.exists(log_path):
print('log_path not exists')
return
wb = Workbook()
for name in self.sheet_names:
ws = wb.create_sheet(name)
ws.append(self.header)
wb.remove(wb.get_sheet_by_name('Sheet'))
with open(log_path, 'r', encoding='utf-8') as fp:
for line in fp:
search_obj = re.search(r'[(.*)] [task=(.*)] [idcard=(.*)]', line)
task_str = search_obj.group(1)
license_summary = ast.literal_eval(search_obj.group(2))
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
application_id = doc_class.objects.filter(id=doc_id).values_list('application_id', flat=True)
for classify, (_, name, field_order, side_diff, _, _) in consts.LICENSE_ORDER:
license_list = license_summary.get(classify)
if not license_list:
continue
ws = wb.get_sheet_by_name(name)
for license_dict in license_list:
if classify == consts.IC_CLASSIFY and license_dict.get('类别') == '1': # 居住证处理
license_summary.setdefault(consts.RP_CLASSIFY, []).append(license_dict)
continue
if side_diff:
key, field_order_yes, field_order_no = consts.FIELD_ORDER_MAP.get(classify)
field_order = field_order_yes if key in license_dict else field_order_no
all_value = []
for search_field, write_field in field_order:
if write_field is None:
continue
field_value = license_dict.get(search_field, '')
if isinstance(field_value, list):
all_value.append('\n'.join(field_value))
else:
all_value.append(field_value)
ws.append((application_id[0], *all_value))
wb.save(excel_path)
src/apps/doc/management/commands/ocr_process.py
......@@ -641,14 +641,14 @@ class Command(BaseCommand, LoggerMixin):
'[license_summary={4}]'.format(self.log_base, task_str, bs_summary,
unknown_summary, license_summary))
self.license_log.info('[license_summary={0}]'.format(license_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:
self.idcard_log.info('[idcard={0}]'.format(idcard_list))
self.idcard_log.info('[task={0}] [idcard={1}]'.format(task_str, idcard_list))
merged_bs_summary = self.rebuild_bs_summary(bs_summary, unknown_summary)
self.bs_log.info('[bs_summary={0}]'.format(merged_bs_summary))
self.bs_log.info('[task={0}] [bs_summary={1}]'.format(task_str, merged_bs_summary))
self.cronjob_log.info('{0} [task={1}] [merged_bs_summary={2}] [unknown_summary={3}] '
'[res_list={4}]'.format(self.log_base, task_str, merged_bs_summary,
......
Styling with Markdown is supported
You are about to add 0 people to the discussion. Proceed with caution.
Finish editing this message first!