add latigation
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4 changed files
with
121 additions
and
32 deletions
... | @@ -13,6 +13,9 @@ class OCR2Exception(Exception): | ... | @@ -13,6 +13,9 @@ class OCR2Exception(Exception): |
13 | class OCR4Exception(Exception): | 13 | class OCR4Exception(Exception): |
14 | pass | 14 | pass |
15 | 15 | ||
16 | class LTGTException(Exception): | ||
17 | pass | ||
18 | |||
16 | 19 | ||
17 | class GCAPException(Exception): | 20 | class GCAPException(Exception): |
18 | pass | 21 | pass | ... | ... |
... | @@ -15,7 +15,7 @@ from settings import conf | ... | @@ -15,7 +15,7 @@ from settings import conf |
15 | from common.mixins import LoggerMixin | 15 | from common.mixins import LoggerMixin |
16 | from common.tools.pdf_to_img import PDFHandler | 16 | from common.tools.pdf_to_img import PDFHandler |
17 | from apps.doc import consts | 17 | from apps.doc import consts |
18 | from apps.doc.exceptions import OCR1Exception, OCR4Exception | 18 | from apps.doc.exceptions import OCR1Exception, OCR4Exception, LTGTException |
19 | from apps.doc.ocr.wb import BSWorkbook | 19 | from apps.doc.ocr.wb import BSWorkbook |
20 | 20 | ||
21 | 21 | ||
... | @@ -48,6 +48,11 @@ class Command(BaseCommand, LoggerMixin): | ... | @@ -48,6 +48,11 @@ class Command(BaseCommand, LoggerMixin): |
48 | self.log_base = '[folder ocr process]' | 48 | self.log_base = '[folder ocr process]' |
49 | # 处理文件开关 | 49 | # 处理文件开关 |
50 | self.switch = True | 50 | self.switch = True |
51 | self.ltgt_classify_mapping = { | ||
52 | 128: '执行裁定书', | ||
53 | 129: '民事判决书', | ||
54 | 130: '民事调解书' | ||
55 | } | ||
51 | # 睡眠时间 | 56 | # 睡眠时间 |
52 | self.sleep_time = float(conf.SLEEP_SECOND_FOLDER) | 57 | self.sleep_time = float(conf.SLEEP_SECOND_FOLDER) |
53 | # input folder | 58 | # input folder |
... | @@ -55,19 +60,18 @@ class Command(BaseCommand, LoggerMixin): | ... | @@ -55,19 +60,18 @@ class Command(BaseCommand, LoggerMixin): |
55 | # ocr相关 | 60 | # ocr相关 |
56 | self.ocr_url = conf.OCR_URL_FOLDER | 61 | self.ocr_url = conf.OCR_URL_FOLDER |
57 | self.ocr_url_4 = conf.IC_URL | 62 | self.ocr_url_4 = conf.IC_URL |
63 | self.ltgt_ocr_url = conf.LTGT_URL | ||
58 | # 优雅退出信号:15 | 64 | # 优雅退出信号:15 |
59 | signal.signal(signal.SIGTERM, self.signal_handler) | 65 | signal.signal(signal.SIGTERM, self.signal_handler) |
60 | 66 | ||
61 | def signal_handler(self, sig, frame): | 67 | def signal_handler(self, sig, frame): |
62 | self.switch = False # 停止处理文件 | 68 | self.switch = False # 停止处理文件 |
63 | 69 | ||
64 | def license1_process(self, ocr_data, license_summary, classify, res_list, pno, ino, part_idx, img_path): | 70 | def license1_process(self, ocr_data, license_summary, classify, img_path): |
65 | # 类别:'0'身份证, '1'居住证 | 71 | # 类别:'0'身份证, '1'居住证 |
66 | license_data = ocr_data.get('data', []) | 72 | license_data = ocr_data.get('data', []) |
67 | if not license_data: | 73 | if not license_data: |
68 | res_list.append((pno, ino, part_idx, consts.RES_SUCCESS_EMPTY)) | ||
69 | return | 74 | return |
70 | res_list.append((pno, ino, part_idx, consts.RES_SUCCESS)) | ||
71 | if classify == consts.MVC_CLASSIFY: # 车辆登记证 3/4页结果整合 | 75 | if classify == consts.MVC_CLASSIFY: # 车辆登记证 3/4页结果整合 |
72 | for mvc_dict in license_data: | 76 | for mvc_dict in license_data: |
73 | try: | 77 | try: |
... | @@ -154,29 +158,21 @@ class Command(BaseCommand, LoggerMixin): | ... | @@ -154,29 +158,21 @@ class Command(BaseCommand, LoggerMixin): |
154 | def res_process(self, all_res, classify, excel_path): | 158 | def res_process(self, all_res, classify, excel_path): |
155 | try: | 159 | try: |
156 | license_summary = {} | 160 | license_summary = {} |
157 | res_list = [] | ||
158 | 161 | ||
159 | if not all_res: | 162 | if not all_res: |
160 | return | 163 | return |
161 | else: | 164 | else: |
162 | for img_path, ocr_res in all_res.items(): | 165 | for img_path, ocr_res in all_res.items(): |
163 | img_name, pno, ino = self.parse_img_path(img_path) | 166 | # img_name, pno, ino = self.parse_img_path(img_path) |
164 | part_idx = 1 | 167 | # part_idx = 1 |
165 | 168 | ||
166 | if isinstance(ocr_res, dict): | 169 | if isinstance(ocr_res, dict): |
167 | if ocr_res.get('code') == 1: | 170 | if ocr_res.get('code') == 1: |
168 | data_list = ocr_res.get('data', []) | 171 | data_list = ocr_res.get('data', []) |
169 | if isinstance(data_list, list): | 172 | if isinstance(data_list, list): |
170 | for part_idx, ocr_data in enumerate(data_list): | 173 | for ocr_data in data_list: |
171 | part_idx = part_idx + 1 | 174 | # part_idx = part_idx + 1 |
172 | self.license1_process(ocr_data, license_summary, classify, | 175 | self.license1_process(ocr_data, license_summary, classify, img_path) |
173 | res_list, pno, ino, part_idx, img_path) | ||
174 | else: | ||
175 | res_list.append((pno, ino, part_idx, consts.RES_FAILED_3)) | ||
176 | else: | ||
177 | res_list.append((pno, ino, part_idx, consts.RES_FAILED)) | ||
178 | else: | ||
179 | res_list.append((pno, ino, part_idx, consts.RES_FAILED)) | ||
180 | 176 | ||
181 | wb = BSWorkbook(set(), set(), set(), set(), set()) | 177 | wb = BSWorkbook(set(), set(), set(), set(), set()) |
182 | wb.simple_license_rebuild(license_summary, consts.DOC_SCHEME_LIST[0]) | 178 | wb.simple_license_rebuild(license_summary, consts.DOC_SCHEME_LIST[0]) |
... | @@ -217,12 +213,75 @@ class Command(BaseCommand, LoggerMixin): | ... | @@ -217,12 +213,75 @@ class Command(BaseCommand, LoggerMixin): |
217 | else: | 213 | else: |
218 | self.folder_log.warn('{0} [ocr failed] [img_path={1}]'.format(self.log_base, img_path)) | 214 | self.folder_log.warn('{0} [ocr failed] [img_path={1}]'.format(self.log_base, img_path)) |
219 | 215 | ||
216 | def ltgt_ocr_process(self, img_path_list, label, path): | ||
217 | img_data_list = [] | ||
218 | |||
219 | for img_path in img_path_list: | ||
220 | if os.path.exists(img_path): | ||
221 | with open(img_path, 'rb') as f: | ||
222 | base64_data = base64.b64encode(f.read()) | ||
223 | # 获取解码后的base64值 | ||
224 | file_data = base64_data.decode() | ||
225 | img_data_list.append(file_data) | ||
226 | |||
227 | json_data = { | ||
228 | "label": label, | ||
229 | "img_data_list": img_data_list | ||
230 | } | ||
231 | |||
232 | for times in range(consts.RETRY_TIMES): | ||
233 | try: | ||
234 | start_time = time.time() | ||
235 | ocr_response = requests.post(self.ltgt_ocr_url, json=json_data) | ||
236 | if ocr_response.status_code != 200: | ||
237 | raise LTGTException('{0} ltgt ocr status code: {1}'.format(self.log_base, ocr_response.status_code)) | ||
238 | except Exception as e: | ||
239 | self.folder_log.warn('{0} [ltgt ocr failed] [times={1}] [path={2}] [error={3}]'.format( | ||
240 | self.log_base, times, path, traceback.format_exc())) | ||
241 | else: | ||
242 | ocr_res = ocr_response.json() | ||
243 | end_time = time.time() | ||
244 | speed_time = int(end_time - start_time) | ||
245 | self.folder_log.info('{0} [ltgt ocr success] [path={1}] [res={2}] [speed_time={3}]'.format( | ||
246 | self.log_base, path, ocr_res, speed_time)) | ||
247 | return ocr_res | ||
248 | else: | ||
249 | self.folder_log.warn('{0} [ltgt ocr failed] [path={1}]'.format(self.log_base, path)) | ||
250 | |||
251 | def ltgt_res_process(self, ocr_res, label, excel_path): | ||
252 | try: | ||
253 | if isinstance(ocr_res, dict): | ||
254 | if ocr_res.get('code') == 1: | ||
255 | result_dict = ocr_res.get('data', {}) | ||
256 | |||
257 | wb = BSWorkbook(set(), set(), set(), set(), set()) | ||
258 | wb.ltgt_build(label, result_dict) | ||
259 | wb.remove_base_sheet() | ||
260 | wb.save(excel_path) | ||
261 | except Exception as e: | ||
262 | self.folder_log.error('{0} [wb build error] [path={1}] [error={2}]'.format( | ||
263 | self.log_base, excel_path, traceback.format_exc())) | ||
264 | |||
265 | def ltgt_process(self, img_path_list, label, excel_path, path): | ||
266 | ocr_res = self.ltgt_ocr_process(img_path_list, label, path) | ||
267 | self.ltgt_res_process(ocr_res, label, excel_path) | ||
268 | |||
269 | def images_process(self, img_path_list, classify, excel_path): | ||
270 | all_res = {} | ||
271 | for img_path in img_path_list: | ||
272 | ocr_res = self.ocr_process(img_path, classify) | ||
273 | all_res[img_path] = ocr_res | ||
274 | self.res_process(all_res, classify, excel_path) | ||
275 | |||
220 | def pdf_process(self, name, path, classify, img_output_dir, wb_output_dir, pdf_output_dir): | 276 | def pdf_process(self, name, path, classify, img_output_dir, wb_output_dir, pdf_output_dir): |
221 | if os.path.exists(path): | 277 | if os.path.exists(path): |
222 | try: | 278 | try: |
223 | img_save_path, excel_path, pdf_save_path = self.get_path(name, img_output_dir, wb_output_dir, pdf_output_dir) | 279 | img_save_path, excel_path, pdf_save_path = self.get_path(name, img_output_dir, wb_output_dir, pdf_output_dir) |
224 | self.folder_log.info('{0} [pdf to img start] [path={1}]'.format(self.log_base, path)) | 280 | self.folder_log.info('{0} [pdf to img start] [path={1}]'.format(self.log_base, path)) |
225 | pdf_handler = PDFHandler(path, img_save_path) | 281 | pdf_handler = PDFHandler(path, img_save_path) |
282 | if classify in self.ltgt_classify_mapping: | ||
283 | pdf_handler.extract_page_image() | ||
284 | else: | ||
226 | pdf_handler.extract_image() | 285 | pdf_handler.extract_image() |
227 | self.folder_log.info('{0} [pdf to img end] [path={1}]'.format(self.log_base, path)) | 286 | self.folder_log.info('{0} [pdf to img end] [path={1}]'.format(self.log_base, path)) |
228 | except Exception as e: | 287 | except Exception as e: |
... | @@ -230,11 +289,10 @@ class Command(BaseCommand, LoggerMixin): | ... | @@ -230,11 +289,10 @@ class Command(BaseCommand, LoggerMixin): |
230 | self.log_base, path, traceback.format_exc())) | 289 | self.log_base, path, traceback.format_exc())) |
231 | raise e | 290 | raise e |
232 | else: | 291 | else: |
233 | all_res = {} | 292 | if classify in self.ltgt_classify_mapping: |
234 | for img_path in pdf_handler.img_path_list: | 293 | self.ltgt_process(pdf_handler.img_path_list, self.ltgt_classify_mapping[classify], excel_path, path) |
235 | ocr_res = self.ocr_process(img_path, classify) | 294 | else: |
236 | all_res[img_path] = ocr_res | 295 | self.images_process(pdf_handler.img_path_list, classify, excel_path) |
237 | self.res_process(all_res, classify, excel_path) | ||
238 | shutil.move(path, pdf_save_path) | 296 | shutil.move(path, pdf_save_path) |
239 | 297 | ||
240 | def tif_process(self, name, path, classify, img_output_dir, wb_output_dir, tiff_output_dir): | 298 | def tif_process(self, name, path, classify, img_output_dir, wb_output_dir, tiff_output_dir): |
... | @@ -250,23 +308,24 @@ class Command(BaseCommand, LoggerMixin): | ... | @@ -250,23 +308,24 @@ class Command(BaseCommand, LoggerMixin): |
250 | self.log_base, path, traceback.format_exc())) | 308 | self.log_base, path, traceback.format_exc())) |
251 | raise e | 309 | raise e |
252 | else: | 310 | else: |
253 | all_res = {} | 311 | if classify in self.ltgt_classify_mapping: |
254 | for img_path in tiff_handler.img_path_list: | 312 | self.ltgt_process(tiff_handler.img_path_list, self.ltgt_classify_mapping[classify], excel_path, path) |
255 | ocr_res = self.ocr_process(img_path, classify) | 313 | else: |
256 | all_res[img_path] = ocr_res | 314 | self.images_process(tiff_handler.img_path_list, classify, excel_path) |
257 | self.res_process(all_res, classify, excel_path) | ||
258 | shutil.move(path, tiff_save_path) | 315 | shutil.move(path, tiff_save_path) |
259 | 316 | ||
260 | def img_process(self, name, path, classify, wb_output_dir, img_output_dir, pdf_output_dir): | 317 | def img_process(self, name, path, classify, wb_output_dir, img_output_dir, pdf_output_dir): |
261 | ocr_res = self.ocr_process(path, classify) | ||
262 | all_res = {path: ocr_res} | ||
263 | |||
264 | try: | 318 | try: |
265 | img_save_path, excel_path, _ = self.get_path(name, img_output_dir, wb_output_dir, pdf_output_dir) | 319 | img_save_path, excel_path, _ = self.get_path(name, img_output_dir, wb_output_dir, pdf_output_dir) |
266 | except Exception as e: | 320 | except Exception as e: |
267 | self.folder_log.error('{0} [get path error] [path={1}] [error={2}]'.format( | 321 | self.folder_log.error('{0} [get path error] [path={1}] [error={2}]'.format( |
268 | self.log_base, path, traceback.format_exc())) | 322 | self.log_base, path, traceback.format_exc())) |
269 | else: | 323 | else: |
324 | if classify in self.ltgt_classify_mapping: | ||
325 | self.ltgt_process([path], self.ltgt_classify_mapping[classify], excel_path, path) | ||
326 | else: | ||
327 | ocr_res = self.ocr_process(path, classify) | ||
328 | all_res = {path: ocr_res} | ||
270 | self.res_process(all_res, classify, excel_path) | 329 | self.res_process(all_res, classify, excel_path) |
271 | shutil.move(path, img_save_path) | 330 | shutil.move(path, img_save_path) |
272 | 331 | ||
... | @@ -312,9 +371,9 @@ class Command(BaseCommand, LoggerMixin): | ... | @@ -312,9 +371,9 @@ class Command(BaseCommand, LoggerMixin): |
312 | try: | 371 | try: |
313 | if os.path.isfile(path): | 372 | if os.path.isfile(path): |
314 | self.folder_log.info('{0} [file start] [path={1}]'.format(self.log_base, path)) | 373 | self.folder_log.info('{0} [file start] [path={1}]'.format(self.log_base, path)) |
315 | if name.endswith('.pdf'): | 374 | if name.endswith('.pdf') or name.endswith('.PDF'): |
316 | self.pdf_process(name, path, classify, img_output_dir, wb_output_dir, pdf_output_dir) | 375 | self.pdf_process(name, path, classify, img_output_dir, wb_output_dir, pdf_output_dir) |
317 | elif name.endswith('.tif'): | 376 | elif name.endswith('.tif') or name.endswith('.TIF'): |
318 | self.tif_process(name, path, classify, img_output_dir, wb_output_dir, tiff_output_dir) | 377 | self.tif_process(name, path, classify, img_output_dir, wb_output_dir, tiff_output_dir) |
319 | else: | 378 | else: |
320 | self.img_process(name, path, classify, wb_output_dir, img_output_dir, pdf_output_dir) | 379 | self.img_process(name, path, classify, wb_output_dir, img_output_dir, pdf_output_dir) | ... | ... |
... | @@ -702,6 +702,23 @@ class BSWorkbook(Workbook): | ... | @@ -702,6 +702,23 @@ class BSWorkbook(Workbook): |
702 | if field_str is not None: | 702 | if field_str is not None: |
703 | count_list.append((field_str, count)) | 703 | count_list.append((field_str, count)) |
704 | 704 | ||
705 | def ltgt_build(self, label, result_dict): | ||
706 | ws = self.create_sheet(label) | ||
707 | for key, value in result_dict.items(): | ||
708 | if isinstance(value, list): | ||
709 | ws.append((key, *value)) | ||
710 | elif isinstance(value, dict): | ||
711 | if 'words' in value: | ||
712 | ws.append((key, value['words'])) | ||
713 | else: | ||
714 | for sub_key, sub_value in value.items(): | ||
715 | if isinstance(sub_value, dict): | ||
716 | ws.append(('{0}: {1}'.format(key, sub_key), sub_value.get('words', ''))) | ||
717 | else: | ||
718 | ws.append(('{0}: {1}'.format(key, sub_key), sub_value)) | ||
719 | else: | ||
720 | ws.append((key, value)) | ||
721 | |||
705 | def simple_license_rebuild(self, license_summary, document_scheme): | 722 | def simple_license_rebuild(self, license_summary, document_scheme): |
706 | # for ic_license_dict in license_summary.get(consts.IC_CLASSIFY, []): | 723 | # for ic_license_dict in license_summary.get(consts.IC_CLASSIFY, []): |
707 | # if ic_license_dict.get('类别') == '1': | 724 | # if ic_license_dict.get('类别') == '1': | ... | ... |
... | @@ -225,3 +225,13 @@ class PDFHandler: | ... | @@ -225,3 +225,13 @@ class PDFHandler: |
225 | else: | 225 | else: |
226 | self.merge_il(pdf, pno, il) | 226 | self.merge_il(pdf, pno, il) |
227 | self.img_count = len(self.img_path_list) | 227 | self.img_count = len(self.img_path_list) |
228 | |||
229 | def extract_page_image(self): | ||
230 | self.img_path_list = [] | ||
231 | self.xref_set = set() | ||
232 | os.makedirs(self.img_dir_path, exist_ok=True) | ||
233 | with fitz.Document(self.path) as pdf: | ||
234 | for pno in range(pdf.pageCount): | ||
235 | page = pdf.loadPage(pno) | ||
236 | self.page_to_png(page) | ||
237 | self.img_count = len(self.img_path_list) | ... | ... |
-
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