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 write_zip_file
from common.tools.pdf_to_img import PDFHandler
from apps.doc import consts
from apps.doc.ocr.edms import EDMS, rh
from apps.doc.named_enum import KeywordsType
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
from celery_compare.tasks import compare


class Command(BaseCommand, LoggerMixin):

    def __init__(self):
        super().__init__()
        self.log_base = '[doc 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
        # ocr相关
        self.ocr_1_urls = conf.get_namespace('OCR_URL_1_')
        self.ocr_url_2 = conf.OCR_URL_2
        self.ocr_url_3 = conf.BC_URL
        self.ocr_url_4 = conf.IC_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_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_doc_info(self):
        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))
            return None, None, None

        self.online_log.info('{0} [get_doc_info] [task={1}] [is_priority={2}]'.format(
            self.log_base, task_str, is_priority))
        try:
            # doc, business_type = self.get_doc_object(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 = 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
            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
            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, task_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)

            # ['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, part_idx, consts.RES_SUCCESS))
        else:
            res_list.append((pno, ino, part_idx, consts.RES_SUCCESS_EMPTY))

    def license1_process(self, ocr_data, license_summary, classify, res_list, pno, ino, part_idx, img_path):
        # 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
        res_list.append((pno, ino, part_idx, consts.RES_SUCCESS))
        if classify == consts.MVC_CLASSIFY:  # 车辆登记证 3/4页结果整合
            for mvc_dict in license_data:
                try:
                    mvc_page = mvc_dict.pop('page')
                except Exception as e:
                    pass
                else:
                    if mvc_page == 'VehicleRegArea':
                        mvc_dict['姓名/名称'] = []
                        mvc_dict['身份证明名称/号码'] = []
                        mvc_dict['转移登记日期'] = []
                        mvc_dict['抵押权人姓名/名称'] = []
                        mvc_dict['抵押身份证明名称/号码'] = []
                        mvc_dict['抵押登记日期'] = []
                        mvc_dict['解除抵押日期'] = []
                        mvc_res = mvc_dict.pop('results', {})
                        for register_info in mvc_res.get('register_info', []):
                            if register_info.get('register_type', 0) == 2:
                                mvc_dict['姓名/名称'].append(
                                    register_info.get('details', {}).get('name', {}).get('words', ''))
                                mvc_dict['身份证明名称/号码'].append(
                                    register_info.get('details', {}).get('idno', {}).get('words', ''))
                                mvc_dict['转移登记日期'].append(
                                    register_info.get('details', {}).get('date', {}).get('words', ''))
                            elif register_info.get('register_type', 0) == 0:
                                mvc_dict['抵押权人姓名/名称'].append(
                                    register_info.get('details', {}).get('name', {}).get('words', ''))
                                mvc_dict['抵押身份证明名称/号码'].append(
                                    register_info.get('details', {}).get('idno', {}).get('words', ''))
                                mvc_dict['抵押登记日期'].append(
                                    register_info.get('details', {}).get('date', {}).get('words', ''))
                            elif register_info.get('register_type', 0) == 1:
                                mvc_dict['解除抵押日期'].append(
                                    register_info.get('details', {}).get('date', {}).get('words', ''))
                        del mvc_res
        if classify == consts.IC_CLASSIFY:  # 身份证真伪
            for id_card_dict in license_data:
                try:
                    base64_img = id_card_dict.pop('base64_img')
                except Exception as e:
                    continue
                else:
                    card_type = -1
                    json_data_4 = {
                        'mode': 1,
                        'user_info': {
                            'image_content': base64_img,
                        },
                        'options': {
                            'distinguish_type': 1,
                            'auto_rotate': True,
                        },
                    }
                    for times in range(consts.RETRY_TIMES):
                        try:
                            start_time = time.time()
                            ocr_4_response = requests.post(self.ocr_url_4, json=json_data_4)
                            if ocr_4_response.status_code != 200:
                                raise OCR4Exception('ocr_4 status code: {0}'.format(ocr_4_response.status_code))
                        except Exception as e:
                            self.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)
        license_summary.setdefault(classify, []).extend(license_data)

    def license2_process(self, ocr_res_2, license_summary, pid, classify, res_list, pno, ino, part_idx):
        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, '')
                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, 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):

            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

        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]['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_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']
        #         }
        #     }
        # }
        # 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['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['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 pdf_2_img_2_queue(self, img_queue, todo_count_dict, lock, error_list):
        while self.switch:
            try:
                # 1. 从队列获取文件信息
                doc, business_type, task_str = self.get_doc_info()
                # 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:
                try:
                    # 2. 从EDMS获取PDF文件
                    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))

                    pdf_handler = PDFHandler(pdf_path, img_save_path)

                    for times in range(consts.RETRY_TIMES):
                        try:
                            if not doc.application_id.startswith(consts.FIXED_APPLICATION_ID_PREFIX):
                                self.edms.download(pdf_path, doc.metadata_version_id)
                            self.online_log.info('{0} [edms 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()
                            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')

                    img_count = len(pdf_handler.img_path_list)
                    if 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')
                    else:
                        with lock:
                            todo_count_dict[task_str] = img_count
                        for img_path in 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)
                            img_queue.put(img_path)
                # 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:
                        doc.status = DocStatus.PROCESS_FAILED.value
                        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

    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:
                img_path = 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
                            }

                            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, lock, 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

                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()
                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_summary = {}
                        unknown_summary = {}
                        license_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=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)
                        wb = BSWorkbook(interest_keyword, salary_keyword, loan_keyword, wechat_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)
                                        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
                                            }

                                            for times in range(consts.RETRY_TIMES):
                                                try:
                                                    start_time = time.time()
                                                    ocr_2_response = requests.post(self.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:
                                                        name = '有'
                                                        json_data_3 = {
                                                            "file": file_data,
                                                            'card_res': 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'
                                                        ocr_2_res['Name'] = name
                                                    self.license2_process(ocr_2_res, license_summary, pid, classify, res_list, pno, ino, part_idx)
                                                    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))
                                        else:  # 流水处理
                                            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:
                            self.idcard_log.info('[task={0}] [idcard={1}]'.format(task_str, idcard_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}] '
                                              '[res_list={4}]'.format(self.log_base, task_str, merged_bs_summary,
                                                                      license_summary, res_list))

                    except Exception as e:

                        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)
                            wb.rebuild(merged_bs_summary, license_summary, res_list, doc.document_scheme)
                            wb.save(excel_path)

                        except Exception as e:

                            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:
                                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)
                        finally:
                            # TODO 识别结果存一张表，方便跑报表
                            if doc.document_scheme == consts.DOC_SCHEME_LIST[0]:
                                try:
                                    # 更新OCR累计识别结果表
                                    result_class = HILOCRResult if business_type == consts.HIL_PREFIX else AFCOCRResult
                                    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():
                                        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)
                                        if not hasattr(res_obj, field):
                                            continue
                                        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),
                                                            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))
                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()

            process_list = []
            pdf_process = Process(target=self.pdf_2_img_2_queue, args=(img_queue, todo_count_dict, lock, error_list))
            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, lock, 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))