add ltgt wb daily

+import os
+import re
+import time
+import shutil
+import base64
+import signal
+import requests
+import traceback
+from PIL import Image
+from datetime import datetime
+from django.core.management import BaseCommand
+from multiprocessing import Process, Queue
+from openpyxl import load_workbook, Workbook
+
+from settings import conf
+from common.mixins import LoggerMixin
+from common.tools.pdf_to_img import PDFHandler
+from apps.doc import consts
+from apps.doc.exceptions import OCR1Exception, OCR4Exception, LTGTException
+from apps.doc.ocr.wb import BSWorkbook
+
+
+class TIFFHandler:
+
+    def __init__(self, path, img_save_path):
+        self.path = path
+        self.img_save_path = img_save_path
+        self.img_path_list = []
+
+    def extract_image(self):
+        os.makedirs(self.img_save_path, exist_ok=True)
+        tiff = Image.open(self.path)
+        tiff.load()
+
+        for i in range(tiff.n_frames):
+            try:
+                save_path = os.path.join(self.img_save_path, 'page_{0}.jpeg'.format(i))
+                tiff.seek(i)
+                tiff.save(save_path)
+                self.img_path_list.append(save_path)
+            except EOFError:
+                break
+
+
+class Command(BaseCommand, LoggerMixin):
+
+    def __init__(self):
+        super().__init__()
+        self.log_base = '[folder ltgt process]'
+        # 处理文件开关
+        self.switch = True
+        self.ltgt_classify_mapping = {
+            128: '执行裁定书',
+            129: '民事判决书',
+            130: '民事调解书'
+        }
+        self.sheet_content = {
+            128: ('执行裁定书', ('承办法院', '案号/标号', '被执行人', '债权金额', '诉讼时间')),
+            129: ('民事判决书', ('承办法院', '案号/标号', '被告', '判决结果: 贷款本金', '判决结果: 罚息', '判决结果: 律师费', '判决结果: 案件受理费', '诉讼时间')),
+            130: ('民事调解书', ('承办法院', '案号/标号', '被告', '协议内容: 支付金额', '协议内容: 案件受理费', '诉讼时间')),
+        }
+        self.DATE_KEY = 'date'
+        self.CLASSIFY_KEY = 'classify'
+        self.RESULT_KEY = 'result'
+        self.daily_wb_name = 'Output_{0}.xlsx'
+        self.short_sleep_time = 10
+        self.long_sleep_time = 3600
+        # 睡眠时间
+        self.sleep_time = float(conf.SLEEP_SECOND_FOLDER)
+        # input folder
+        self.input_dirs = conf.get_namespace('LTGT_DIR_')
+        # ocr相关
+        # self.ocr_url = conf.OCR_URL_FOLDER
+        # self.ocr_url_4 = conf.IC_URL
+        self.ltgt_ocr_url = conf.LTGT_URL
+        # 优雅退出信号：15
+        signal.signal(signal.SIGTERM, self.signal_handler)
+
+    def signal_handler(self, sig, frame):
+        self.switch = False  # 停止处理文件
+
+    def license1_process(self, ocr_data, license_summary, classify, img_path):
+        # 类别：'0'身份证， '1'居住证
+        license_data = ocr_data.get('data', [])
+        if not license_data:
+            return
+        if classify == consts.MVC_CLASSIFY:  # 车辆登记证 3/4页结果整合
+            for mvc_dict in license_data:
+                try:
+                    mvc_page = mvc_dict.pop('page')
+                except Exception as e:
+                    pass
+                else:
+                    if mvc_page == 'VehicleRegArea':
+                        mvc_res = mvc_dict.pop('results', {})
+                        mvc_dict['机动车登记证书编号'] = mvc_res.get('register_no', {}).get('words', '')
+                        for register_info in mvc_res.get('register_info', []):
+                            for detail_dict in register_info.get('details', {}).values():
+                                mvc_dict.setdefault(detail_dict.get('chinese_key', '未知'), []).append(
+                                    detail_dict.get('words', ''))
+                        del mvc_res
+        if classify == consts.IC_CLASSIFY:
+            for id_card_dict in license_data:
+                try:
+                    base64_img = id_card_dict.pop('base64_img')
+                except Exception as e:
+                    continue
+                else:
+                    card_type = -1
+                    json_data_4 = {
+                        'mode': 1,
+                        'user_info': {
+                            'image_content': base64_img,
+                        },
+                        'options': {
+                            'distinguish_type': 1,
+                            'auto_rotate': True,
+                        },
+                    }
+                    for times in range(consts.RETRY_TIMES):
+                        try:
+                            start_time = time.time()
+                            ocr_4_response = requests.post(self.ocr_url_4, json=json_data_4)
+                            if ocr_4_response.status_code != 200:
+                                raise OCR4Exception('ocr_4 status code: {0}'.format(ocr_4_response.status_code))
+                        except Exception as e:
+                            self.folder_log.warn(
+                                '{0} [ocr_4 failed] [times={1}] [img_path={2}] [error={3}]'.format(
+                                    self.log_base, times, img_path, traceback.format_exc()))
+                        else:
+                            ocr_4_res = ocr_4_response.json()
+                            end_time = time.time()
+                            speed_time = int(end_time - start_time)
+
+                            if ocr_4_res.get('code') == 0 and ocr_4_res.get('result', {}).get('rtn') == 0:
+                                card_type = ocr_4_res.get('result', {}).get(
+                                    'idcard_distinguish_result', {}).get('result', -1)
+
+                            self.folder_log.info(
+                                '{0} [ocr_4 success] [img_path={1}] [speed_time={2}]'.format(
+                                    self.log_base, img_path, speed_time))
+                            break
+                    else:
+                        self.folder_log.warn(
+                            '{0} [ocr_4 failed] [img_path={1}]'.format(self.log_base, img_path))
+
+                    id_card_dict[consts.IC_TURE_OR_FALSE] = consts.IC_RES_MAPPING.get(card_type)
+        license_summary.setdefault(classify, []).extend(license_data)
+
+    @staticmethod
+    def parse_img_path(img_path):
+        # 'page_{0}_img_{1}.{2}'.format(pno, img_index, ext)
+        img_name, _ = os.path.splitext(os.path.basename(img_path))
+        if re.match(r'page_\d+_img_\d+', img_name):
+            part_list = img_name.split('_')
+            return img_name, int(part_list[1])+1, int(part_list[3])+1
+        else:
+            return img_name, 1, 1
+
+    @staticmethod
+    def get_path(name, img_output_dir, wb_output_dir, pdf_output_dir):
+        time_stamp = datetime.now().strftime('%Y-%m-%d_%H:%M:%S')
+        new_name = '{0}_{1}'.format(time_stamp, name)
+        img_save_path = os.path.join(img_output_dir, new_name)
+        pdf_save_path = os.path.join(pdf_output_dir, new_name)
+        excel_name = '{0}.xlsx'.format(os.path.splitext(new_name)[0])
+        excel_path = os.path.join(wb_output_dir, excel_name)
+        return img_save_path, excel_path, pdf_save_path
+
+    def res_process(self, all_res, classify, excel_path):
+        try:
+            license_summary = {}
+
+            if not all_res:
+                return
+            else:
+                for img_path, ocr_res in all_res.items():
+                    # img_name, pno, ino = self.parse_img_path(img_path)
+                    # part_idx = 1
+
+                    if isinstance(ocr_res, dict):
+                        if ocr_res.get('code') == 1:
+                            data_list = ocr_res.get('data', [])
+                            if isinstance(data_list, list):
+                                for ocr_data in data_list:
+                                    # part_idx = part_idx + 1
+                                    self.license1_process(ocr_data, license_summary, classify, img_path)
+
+                wb = BSWorkbook(set(), set(), set(), set(), set())
+                wb.simple_license_rebuild(license_summary, consts.DOC_SCHEME_LIST[0])
+                wb.remove_base_sheet()
+                wb.save(excel_path)
+        except Exception as e:
+            self.folder_log.error('{0} [wb build error] [path={1}] [error={2}]'.format(
+                self.log_base, excel_path, traceback.format_exc()))
+
+    def ocr_process(self, img_path, classify):
+        if os.path.exists(img_path):
+            # TODO 图片验证
+            with open(img_path, 'rb') as f:
+                base64_data = base64.b64encode(f.read())
+                # 获取解码后的base64值
+                file_data = base64_data.decode()
+            json_data = {
+                "file": file_data,
+                "classify": classify
+            }
+
+            for times in range(consts.RETRY_TIMES):
+                try:
+                    start_time = time.time()
+                    ocr_response = requests.post(self.ocr_url, json=json_data)
+                    if ocr_response.status_code != 200:
+                        raise OCR1Exception('{0} ocr status code: {1}'.format(self.log_base, ocr_response.status_code))
+                except Exception as e:
+                    self.folder_log.warn('{0} [ocr failed] [times={1}] [img_path={2}] [error={3}]'.format(
+                        self.log_base, times, img_path, traceback.format_exc()))
+                else:
+                    ocr_res = ocr_response.json()
+                    end_time = time.time()
+                    speed_time = int(end_time - start_time)
+                    self.folder_log.info('{0} [ocr success] [img={1}] [res={2}] [speed_time={3}]'.format(
+                        self.log_base, img_path, ocr_res, speed_time))
+                    return ocr_res
+            else:
+                self.folder_log.warn('{0} [ocr failed] [img_path={1}]'.format(self.log_base, img_path))
+                
+    def ltgt_ocr_process(self, img_path_list, label, path):
+        img_data_list = []
+
+        for img_path in img_path_list:
+            if os.path.exists(img_path):
+                with open(img_path, 'rb') as f:
+                    base64_data = base64.b64encode(f.read())
+                    # 获取解码后的base64值
+                    file_data = base64_data.decode()
+                img_data_list.append(file_data)
+
+        json_data = {
+            "label": label,
+            "img_data_list": img_data_list
+        }
+
+        for times in range(consts.RETRY_TIMES):
+            try:
+                start_time = time.time()
+                ocr_response = requests.post(self.ltgt_ocr_url, json=json_data)
+                if ocr_response.status_code != 200:
+                    raise LTGTException('{0} ltgt ocr status code: {1}'.format(self.log_base, ocr_response.status_code))
+            except Exception as e:
+                self.folder_log.warn('{0} [ltgt ocr failed] [times={1}] [path={2}] [error={3}]'.format(
+                    self.log_base, times, path, traceback.format_exc()))
+            else:
+                ocr_res = ocr_response.json()
+                end_time = time.time()
+                speed_time = int(end_time - start_time)
+                self.folder_log.info('{0} [ltgt ocr success] [path={1}] [res={2}] [speed_time={3}]'.format(
+                    self.log_base, path, ocr_res, speed_time))
+                return ocr_res
+        else:
+            self.folder_log.warn('{0} [ltgt ocr failed] [path={1}]'.format(self.log_base, path))
+    
+    def ltgt_res_process(self, ocr_res, label, excel_path):
+        try:
+            if isinstance(ocr_res, dict):
+                if ocr_res.get('code') == 1:
+                    result_dict = ocr_res.get('data', {})
+
+                    wb = BSWorkbook(set(), set(), set(), set(), set())
+                    rebuild_res = wb.ltgt_build(label, result_dict)
+                    wb.remove_base_sheet()
+                    wb.save(excel_path)
+                    return rebuild_res
+        except Exception as e:
+            self.folder_log.error('{0} [wb build error] [path={1}] [error={2}]'.format(
+                self.log_base, excel_path, traceback.format_exc()))
+
+    def ltgt_process(self, img_path_list, label, excel_path, path):
+        ocr_res = self.ltgt_ocr_process(img_path_list, label, path)
+        rebuild_res = self.ltgt_res_process(ocr_res, label, excel_path)
+        return rebuild_res
+        
+    def images_process(self, img_path_list, classify, excel_path):
+        all_res = {}
+        for img_path in img_path_list:
+            ocr_res = self.ocr_process(img_path, classify)
+            all_res[img_path] = ocr_res
+        self.res_process(all_res, classify, excel_path)
+
+    def pdf_process(self, name, path, classify, img_output_dir, wb_output_dir, pdf_output_dir):
+        if os.path.exists(path):
+            rebuild_res = None
+            try:
+                img_save_path, excel_path, pdf_save_path = self.get_path(name, img_output_dir, wb_output_dir, pdf_output_dir)
+                self.folder_log.info('{0} [pdf to img start] [path={1}]'.format(self.log_base, path))
+                pdf_handler = PDFHandler(path, img_save_path)
+                if classify in self.ltgt_classify_mapping:
+                    pdf_handler.extract_page_image()
+                else:
+                    pdf_handler.extract_image()
+                self.folder_log.info('{0} [pdf to img end] [path={1}]'.format(self.log_base, path))
+            except Exception as e:
+                self.folder_log.error('{0} [pdf to img error] [path={1}] [error={2}]'.format(
+                    self.log_base, path, traceback.format_exc()))
+                raise e
+            else:
+                if classify in self.ltgt_classify_mapping:
+                    rebuild_res = self.ltgt_process(pdf_handler.img_path_list, self.ltgt_classify_mapping[classify],
+                                                    excel_path, path)
+                else:
+                    self.images_process(pdf_handler.img_path_list, classify, excel_path)
+                shutil.move(path, pdf_save_path)
+                return rebuild_res
+
+    def tif_process(self, name, path, classify, img_output_dir, wb_output_dir, tiff_output_dir):
+        if os.path.exists(path):
+            rebuild_res = None
+            try:
+                img_save_path, excel_path, tiff_save_path = self.get_path(name, img_output_dir, wb_output_dir, tiff_output_dir)
+                self.folder_log.info('{0} [tiff to img start] [path={1}]'.format(self.log_base, path))
+                tiff_handler = TIFFHandler(path, img_save_path)
+                tiff_handler.extract_image()
+                self.folder_log.info('{0} [tiff to img end] [path={1}]'.format(self.log_base, path))
+            except Exception as e:
+                self.folder_log.error('{0} [tiff to img error] [path={1}] [error={2}]'.format(
+                    self.log_base, path, traceback.format_exc()))
+                raise e
+            else:
+                if classify in self.ltgt_classify_mapping:
+                    rebuild_res = self.ltgt_process(tiff_handler.img_path_list, self.ltgt_classify_mapping[classify],
+                                                    excel_path, path)
+                else:
+                    self.images_process(tiff_handler.img_path_list, classify, excel_path)
+                shutil.move(path, tiff_save_path)
+                return rebuild_res
+
+    def img_process(self, name, path, classify, wb_output_dir, img_output_dir, pdf_output_dir):
+        rebuild_res = None
+        try:
+            img_save_path, excel_path, _ = self.get_path(name, img_output_dir, wb_output_dir, pdf_output_dir)
+        except Exception as e:
+            self.folder_log.error('{0} [get path error] [path={1}] [error={2}]'.format(
+                self.log_base, path, traceback.format_exc()))
+        else:
+            if classify in self.ltgt_classify_mapping:
+                rebuild_res = self.ltgt_process([path], self.ltgt_classify_mapping[classify], excel_path, path)
+            else:
+                ocr_res = self.ocr_process(path, classify)
+                all_res = {path: ocr_res}
+                self.res_process(all_res, classify, excel_path)
+            shutil.move(path, img_save_path)
+            return rebuild_res
+
+    def wb_process(self, wb_dir, result_queue):
+        while self.switch:
+            result_list = []
+            date_str = None
+            for i in range(100):
+                try:
+                    result = result_queue.get(block=False)
+                except Exception as e:
+                    time.sleep(self.short_sleep_time)
+                else:
+                    if date_str is None:
+                        date_str = result[self.DATE_KEY]
+                        result_list.append(result)
+                    elif result[self.DATE_KEY] == date_str:
+                        result_list.append(result)
+                    else:
+                        break
+            if date_str is None:
+                time.sleep(self.long_sleep_time)
+                continue
+            else:
+                wb_name = self.daily_wb_name.format(date_str)
+                wb_path = os.path.join(wb_dir, wb_name)
+                if os.path.isfile(wb_path):
+                    wb = load_workbook(wb_path)
+                else:
+                    wb = Workbook()
+                for result in result_list:
+                    sheet_name, head_fields = self.sheet_content[result[self.CLASSIFY_KEY]]
+                    row = []
+                    for field in head_fields:
+                        row.append(result[self.RESULT_KEY].get(field))
+                    if sheet_name in wb.sheetnames:
+                        ws = wb.get_sheet_by_name(sheet_name)
+                    else:
+                        ws = wb.create_sheet(sheet_name)
+                        ws.append(head_fields)
+                    ws.append(row)
+                wb.save(wb_path)
+
+    def folder_process(self, input_dir, classify, result_queue):
+        while not os.path.isdir(input_dir):
+            self.folder_log.info('{0} [input dir is not dir] [input_dir={1}]'.format(self.log_base, input_dir))
+            if self.switch:
+                time.sleep(self.sleep_time)
+                continue
+            else:
+                return
+        output_dir = os.path.join(os.path.dirname(input_dir), 'Output')
+        img_output_dir = os.path.join(output_dir, 'image')
+        wb_output_dir = os.path.join(output_dir, 'excel')
+        pdf_output_dir = os.path.join(output_dir, 'pdf')
+        tiff_output_dir = os.path.join(output_dir, 'tiff')
+        failed_output_dir = os.path.join(output_dir, 'failed')
+        os.makedirs(output_dir, exist_ok=True)
+        os.makedirs(img_output_dir, exist_ok=True)
+        os.makedirs(wb_output_dir, exist_ok=True)
+        os.makedirs(pdf_output_dir, exist_ok=True)
+        os.makedirs(tiff_output_dir, exist_ok=True)
+        os.makedirs(failed_output_dir, exist_ok=True)
+        os_error_filename_set = set()
+        while self.switch:
+            # if not os.path.isdir(input_dir):
+            #     self.folder_log.info('{0} [input dir is not dir] [input_dir={1}]'.format(self.log_base, input_dir))
+            #     time.sleep(self.sleep_time)
+            #     continue
+            # 1. 从input dir获取pdf or image
+            list_dir = os.listdir(input_dir)
+            if not list_dir and len(os_error_filename_set) == 0:
+                self.folder_log.info('{0} [input dir empty] [input_dir={1}]'.format(self.log_base, input_dir))
+                time.sleep(self.sleep_time)
+                continue
+            all_file_set = set(list_dir)
+            true_file_set = all_file_set - os_error_filename_set
+            if len(true_file_set) == 0 and len(os_error_filename_set) > 0:
+                true_file_set.add(os_error_filename_set.pop())
+            for name in true_file_set:
+                path = os.path.join(input_dir, name)
+
+                try:
+                    if os.path.isfile(path):
+                        self.folder_log.info('{0} [file start] [path={1}]'.format(self.log_base, path))
+                        if name.endswith('.pdf') or name.endswith('.PDF'):
+                            result = self.pdf_process(name, path, classify, img_output_dir,
+                                                           wb_output_dir, pdf_output_dir)
+                        elif name.endswith('.tif') or name.endswith('.TIF'):
+                            result = self.tif_process(name, path, classify, img_output_dir,
+                                                           wb_output_dir, tiff_output_dir)
+                        else:
+                            result = self.img_process(name, path, classify, wb_output_dir,
+                                                           img_output_dir, pdf_output_dir)
+                        self.folder_log.info('{0} [file end] [path={1}]'.format(self.log_base, path))
+                    else:
+                        result = None
+                        self.folder_log.info('{0} [path is dir] [path={1}]'.format(self.log_base, input_dir))
+                        failed_path = os.path.join(failed_output_dir, '{0}_{1}'.format(time.time(), name))
+                        shutil.move(path, failed_path)
+                except OSError:
+                    os_error_filename_set.add(name)
+                    self.folder_log.error('{0} [os error] [path={1}] [error={2}]'.format(
+                        self.log_base, path, traceback.format_exc()))
+                except Exception as e:
+                    try:
+                        self.folder_log.error('{0} [file error] [path={1}] [error={2}]'.format(self.log_base, path,
+                                                                                               traceback.format_exc()))
+                        failed_path = os.path.join(failed_output_dir, '{0}_{1}'.format(time.time(), name))
+                        shutil.move(path, failed_path)
+                    except Exception as e:
+                        os_error_filename_set.add(name)
+                        self.folder_log.error('{0} [file move error] [path={1}] [error={2}]'.format(
+                            self.log_base, path, traceback.format_exc()))
+                else:
+                    if isinstance(result, dict) and len(result) > 0:
+                        date_str = time.strftime("%Y-%m-%d")
+                        result_queue.put(
+                            {
+                                self.CLASSIFY_KEY: classify,
+                                self.RESULT_KEY: result,
+                                self.DATE_KEY: date_str
+                             }
+                        )
+                    elif isinstance(result, list) and len(result) > 0:
+                        date_str = time.strftime("%Y-%m-%d")
+                        for res in result:
+                            result_queue.put(
+                                {
+                                    self.CLASSIFY_KEY: classify,
+                                    self.RESULT_KEY: res,
+                                    self.DATE_KEY: date_str
+                                }
+                            )
+
+    def handle(self, *args, **kwargs):
+        if len(self.input_dirs) == 0:
+            return
+        result_queue = Queue()
+        process_list = []
+        one_input_dir = None
+        for classify_idx, input_dir in self.input_dirs.items():
+            if one_input_dir is None:
+                one_input_dir = input_dir
+            classify = int(classify_idx.split('_')[0])
+            process = Process(target=self.folder_process, args=(input_dir, classify, result_queue))
+            process_list.append(process)
+
+        wb_dir = os.path.dirname(os.path.dirname(one_input_dir))
+        wb_process = Process(target=self.wb_process, args=(wb_dir, result_queue, ))
+        process_list.append(wb_process)
+
+        for p in process_list:
+            p.start()
+        for p in process_list:
+            p.join()
+
+        self.folder_log.info('{0} [stop safely]'.format(self.log_base))

@@ -15,7 +15,7 @@ from settings import conf
 from common.mixins import LoggerMixin
 from common.tools.pdf_to_img import PDFHandler
 from apps.doc import consts
-from apps.doc.exceptions import OCR1Exception, OCR4Exception, LTGTException
+from apps.doc.exceptions import OCR1Exception, OCR4Exception
 from apps.doc.ocr.wb import BSWorkbook
 
 
@@ -48,11 +48,6 @@ class Command(BaseCommand, LoggerMixin):
         self.log_base = '[folder ocr process]'
         # 处理文件开关
         self.switch = True
-        self.ltgt_classify_mapping = {
-            128: '执行裁定书',
-            129: '民事判决书',
-            130: '民事调解书'
-        }
         # 睡眠时间
         self.sleep_time = float(conf.SLEEP_SECOND_FOLDER)
         # input folder
@@ -60,7 +55,6 @@ class Command(BaseCommand, LoggerMixin):
         # ocr相关
         self.ocr_url = conf.OCR_URL_FOLDER
         self.ocr_url_4 = conf.IC_URL
-        self.ltgt_ocr_url = conf.LTGT_URL
         # 优雅退出信号：15
         signal.signal(signal.SIGTERM, self.signal_handler)
 
@@ -213,59 +207,6 @@ class Command(BaseCommand, LoggerMixin):
             else:
                 self.folder_log.warn('{0} [ocr failed] [img_path={1}]'.format(self.log_base, img_path))
                 
-    def ltgt_ocr_process(self, img_path_list, label, path):
-        img_data_list = []
-
-        for img_path in img_path_list:
-            if os.path.exists(img_path):
-                with open(img_path, 'rb') as f:
-                    base64_data = base64.b64encode(f.read())
-                    # 获取解码后的base64值
-                    file_data = base64_data.decode()
-                img_data_list.append(file_data)
-
-        json_data = {
-            "label": label,
-            "img_data_list": img_data_list
-        }
-
-        for times in range(consts.RETRY_TIMES):
-            try:
-                start_time = time.time()
-                ocr_response = requests.post(self.ltgt_ocr_url, json=json_data)
-                if ocr_response.status_code != 200:
-                    raise LTGTException('{0} ltgt ocr status code: {1}'.format(self.log_base, ocr_response.status_code))
-            except Exception as e:
-                self.folder_log.warn('{0} [ltgt ocr failed] [times={1}] [path={2}] [error={3}]'.format(
-                    self.log_base, times, path, traceback.format_exc()))
-            else:
-                ocr_res = ocr_response.json()
-                end_time = time.time()
-                speed_time = int(end_time - start_time)
-                self.folder_log.info('{0} [ltgt ocr success] [path={1}] [res={2}] [speed_time={3}]'.format(
-                    self.log_base, path, ocr_res, speed_time))
-                return ocr_res
-        else:
-            self.folder_log.warn('{0} [ltgt ocr failed] [path={1}]'.format(self.log_base, path))
-    
-    def ltgt_res_process(self, ocr_res, label, excel_path):
-        try:
-            if isinstance(ocr_res, dict):
-                if ocr_res.get('code') == 1:
-                    result_dict = ocr_res.get('data', {})
-
-                    wb = BSWorkbook(set(), set(), set(), set(), set())
-                    rebuild_res = wb.ltgt_build(label, result_dict)
-                    wb.remove_base_sheet()
-                    wb.save(excel_path)
-        except Exception as e:
-            self.folder_log.error('{0} [wb build error] [path={1}] [error={2}]'.format(
-                self.log_base, excel_path, traceback.format_exc()))
-
-    def ltgt_process(self, img_path_list, label, excel_path, path):
-        ocr_res = self.ltgt_ocr_process(img_path_list, label, path)
-        self.ltgt_res_process(ocr_res, label, excel_path)
-        
     def images_process(self, img_path_list, classify, excel_path):
         all_res = {}
         for img_path in img_path_list:
@@ -279,9 +220,6 @@ class Command(BaseCommand, LoggerMixin):
                 img_save_path, excel_path, pdf_save_path = self.get_path(name, img_output_dir, wb_output_dir, pdf_output_dir)
                 self.folder_log.info('{0} [pdf to img start] [path={1}]'.format(self.log_base, path))
                 pdf_handler = PDFHandler(path, img_save_path)
-                if classify in self.ltgt_classify_mapping:
-                    pdf_handler.extract_page_image()
-                else:
                 pdf_handler.extract_image()
                 self.folder_log.info('{0} [pdf to img end] [path={1}]'.format(self.log_base, path))
             except Exception as e:
@@ -289,9 +227,6 @@ class Command(BaseCommand, LoggerMixin):
                     self.log_base, path, traceback.format_exc()))
                 raise e
             else:
-                if classify in self.ltgt_classify_mapping:
-                    self.ltgt_process(pdf_handler.img_path_list, self.ltgt_classify_mapping[classify], excel_path, path)
-                else:
                 self.images_process(pdf_handler.img_path_list, classify, excel_path)
                 shutil.move(path, pdf_save_path)
 
@@ -308,9 +243,6 @@ class Command(BaseCommand, LoggerMixin):
                     self.log_base, path, traceback.format_exc()))
                 raise e
             else:
-                if classify in self.ltgt_classify_mapping:
-                    self.ltgt_process(tiff_handler.img_path_list, self.ltgt_classify_mapping[classify], excel_path, path)
-                else:
                 self.images_process(tiff_handler.img_path_list, classify, excel_path)
                 shutil.move(path, tiff_save_path)
 
@@ -321,9 +253,6 @@ class Command(BaseCommand, LoggerMixin):
             self.folder_log.error('{0} [get path error] [path={1}] [error={2}]'.format(
                 self.log_base, path, traceback.format_exc()))
         else:
-            if classify in self.ltgt_classify_mapping:
-                self.ltgt_process([path], self.ltgt_classify_mapping[classify], excel_path, path)
-            else:
             ocr_res = self.ocr_process(path, classify)
             all_res = {path: ocr_res}
             self.res_process(all_res, classify, excel_path)