python /home/admin/mtr/script_for_cron.py -j datou_current3 -m 20 -a ' -a 4323' -s datou_current_4323 -M 0 -S 0 -U 95,95,120 import MySQLdb succeeded Import error (python version) ['/Users/moilerat/Documents/Fotonower/install/caffe/distribute/python', '/home/admin/workarea/git/Velours/python/prod', '/home/admin/workarea/install/caffe_cuda8_python3/python', '/home/admin/workarea/install/darknet', '/home/admin/workarea/git/Velours/python', '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python', '/home/admin/mtr/.credentials', '/home/admin/workarea/install/caffe/python', '/home/admin/workarea/install/caffe_frcnn/py-faster-rcnn/tools', '/home/admin/workarea/git/fotonowerpip', '/home/admin/workarea/install/segment-anything', '/home/admin/workarea/git/pyfvs', '/usr/lib/python38.zip', '/usr/lib/python3.8', '/usr/lib/python3.8/lib-dynload', '/home/admin/.local/lib/python3.8/site-packages', '/usr/local/lib/python3.8/dist-packages', '/usr/lib/python3/dist-packages'] process id : 4125914 load datou : 4323 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) DONE and to test : checkNoCycle ! We are managing only one step so we do not consider checkConsistencyNbInputNbOutput ! We are managing only one step so we do not consider checkConsistencyTypeOutputInput ! Unexpected type for variable list_input_json ERROR or WARNING : can't parse json string Expecting value: line 1 column 1 (char 0) Tried to parse : None was removed should we ? donnée sous forme de texte was removed should we ? [ptf_id0,ptf_id1...] was removed should we ? load thcls load pdts Running datou job : batch_current TODO datou_current to load to do maybe to take outside batchDatouExec no input labels no input values updating current state to 1 list_input_json: {} Current got : datou_id : 4323, datou_cur_ids : ['3308094'] with mtr_portfolio_ids : ['25050144'] and first list_photo_ids : [] new path : /proc/4125914/ Inside batchDatouExec : verbose : 0 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) DONE and to test : checkNoCycle ! We are managing only one step so we do not consider checkConsistencyNbInputNbOutput ! We are managing only one step so we do not consider checkConsistencyTypeOutputInput ! List Step Type Loaded in datou : split_time_score over limit max, limiting to limit_max 100 list_input_json : {} origin We have 1 , WARNING: data may be incomplete, need to offset and complete ! we have missing 0 photos in the step downloads : photo missing : [] try to delete the photos missing in DB time to download the photos : 0.03759264945983887 About to test input to load Calling datou_exec Inside datou_exec : verbose : 0 number of steps : 1 step1:split_time_score Fri Jul 18 20:55:28 2025 VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec begin split time score 2022-04-13 10:29:59 0 TODO : Insert select and so on Begin split_port_in_batch_balle thcls : [{'id': 3847, 'mtr_user_id': 31, 'name': 'learn_MM_generique_050224', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'aluminium,ela,emr,film_pedb,flux_dev,jrm,pcm,pcnc,pehd_pp,pet_clair,refus,tapis_vide', 'svm_portfolios_learning': '13096157,13096155,13096163,13096159,13301956,13095886,13096162,13096160,13358264,13096158,5515868,13276803', 'photo_hashtag_type': 4932, 'photo_desc_type': 6032, 'type_classification': 'tf_classification2', 'hashtag_id_list': '493546845,492741797,616987804,2107760237,2107760238,495916461,560181804,1284539308,2107760239,2107755846,538914404,2107748999'}] thcls : [{'id': 3513, 'mtr_user_id': 31, 'name': 'Rungis_amount_dechets_fall_2018_v2_tf', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': '05102018_Papier_non_papier_dense,05102018_Papier_non_papier_peu_dense,05102018_Papier_non_papier_presque_vide,05102018_Papier_non_papier_tres_dense,05102018_Papier_non_papier_tres_peu_dense', 'svm_portfolios_learning': '1108385,1108386,1108388,1108384,1108387', 'photo_hashtag_type': 4557, 'photo_desc_type': 5767, 'type_classification': 'tf_classification2', 'hashtag_id_list': '2107751013,2107751014,2107751015,2107751016,2107751017'}] (('00', 408), ('01', 61)) ERROR counted https://github.com/fotonower/Velours/issues/663#issuecomment-421136223 {1: 469} 18072025 25050144 Nombre de photos uploadées : 469 / 23040 (2%) 18072025 25050144 Nombre de photos taguées (types de déchets): 469 / 469 (100%) 18072025 25050144 Nombre de photos taguées (volume) : 469 / 469 (100%) elapsed_time : load_data_split_time_score 1.430511474609375e-06 elapsed_time : order_list_meta_photo_and_scores 0.00018286705017089844 elapsed_time : fill_and_build_computed_from_old_data 0.04590415954589844 elapsed_time : insert_dashboard_record_day_entry 0.02190089225769043 Creating list_photo_total elapsed_time : select_descriptors 11.954791069030762 18072025 25050144 Nombre de photos avec descriptors (type 6032) : 266 / 266 (100%) ERROR : Hum hum, what can we do for different size of descriptors (ignore the difference ) : 0 vs 1280 photo_id : 1372565531 photo_id_prec : 0 0:00:00|ON:Missing descriptors for photos 1372566720 and 1372566719 Missing descriptors for photos 1372566719 and 1372566715 Missing descriptors for photos 1372566715 and 1372566712 Missing descriptors for photos 1372566712 and 1372566223 Missing descriptors for photos 1372566223 and 1372566703 Missing descriptors for photos 1372566703 and 1372566757 Missing descriptors for photos 1372566757 and 1372566755 Missing descriptors for photos 1372566755 and 1372566752 Missing descriptors for photos 1372566752 and 1372566748 Missing descriptors for photos 1372566748 and 1372566746 Missing descriptors for photos 1372566746 and 1372566742 Missing descriptors for photos 1372566742 and 1372566804 Missing descriptors for photos 1372566804 and 1372566798 0:04:59.998927|OFF:0:00:11.001152|ON:0:00:00|OFF:0:00:10.000021|ON:0:00:00|OFF:0:00:09.999986|ON:0:00:00|OFF:0:00:09.999995|ON:Missing descriptors for photos 1372567027 and 1372567030 Missing descriptors for photos 1372567030 and 1372567044 Missing descriptors for photos 1372567044 and 1372567047 Missing descriptors for photos 1372567047 and 1372567050 Missing descriptors for photos 1372567050 and 1372567053 Missing descriptors for photos 1372567053 and 1372567056 Missing descriptors for photos 1372567056 and 1372567078 Missing descriptors for photos 1372567078 and 1372567186 Missing descriptors for photos 1372567186 and 1372567189 Missing descriptors for photos 1372567189 and 1372567193 Missing descriptors for photos 1372567193 and 1372567195 0:04:00.000184|OFF:0:00:08.999018|ON:0:00:00|OFF:0:00:11.000964|ON:0:00:00|OFF:0:00:09.999972|ON:0:00:00|OFF:0:00:10.000025|ON:0:00:00|OFF:0:00:08.998744|ON:0:00:11.001259|OFF:0:00:09.999793|ON:Missing descriptors for photos 1372568514 and 1372568677 Missing descriptors for photos 1372568677 and 1372568517 Missing descriptors for photos 1372568517 and 1372568519 Missing descriptors for photos 1372568519 and 1372568522 Missing descriptors for photos 1372568522 and 1372568524 Missing descriptors for photos 1372568524 and 1372567312 Missing descriptors for photos 1372567312 and 1372567292 Missing descriptors for photos 1372567292 and 1372567287 Missing descriptors for photos 1372567287 and 1372567285 Missing descriptors for photos 1372567285 and 1372567284 Missing descriptors for photos 1372567284 and 1372567282 0:02:50.000051|OFF:0:00:10.000003|ON:0:00:29.999846|OFF:0:00:08.998924|ON:Missing descriptors for photos 1372567565 and 1372567560 Missing descriptors for photos 1372567560 and 1372567556 Missing descriptors for photos 1372567556 and 1372567551 Missing descriptors for photos 1372567551 and 1372567632 Missing descriptors for photos 1372567632 and 1372567630 Missing descriptors for photos 1372567630 and 1372567625 Missing descriptors for photos 1372567625 and 1372567612 Missing descriptors for photos 1372567612 and 1372567656 Missing descriptors for photos 1372567656 and 1372567654 0:05:10.000001|OFF:0:00:11.001486|ON:0:00:00|OFF:0:00:09.999693|ON:0:00:00|OFF:0:00:10.000093|ON:0:00:00|OFF:0:00:09.999961|ON:0:00:00|OFF:0:00:08.998816|ON:0:00:10.001136|OFF:0:00:11.000133|ON:0:00:10.000031|OFF:0:00:09.999910|ON:0:00:00|OFF:0:00:09.999951|ON:0:00:00|OFF:0:00:08.998853|ON:0:00:00|OFF:0:00:11.001192|ON:0:00:10.000290|OFF:0:00:09.999671|ON:0:00:00|OFF:0:00:08.998859|ON:0:00:00|OFF:0:00:10.001122|ON:0:00:00|OFF:0:00:11.000018|ON:0:00:00|OFF:0:00:09.999973|ON:Missing descriptors for photos 1372567933 and 1372567932 Missing descriptors for photos 1372567932 and 1372567931 Missing descriptors for photos 1372567931 and 1372567972 Missing descriptors for photos 1372567972 and 1372567967 Missing descriptors for photos 1372567967 and 1372567966 Missing descriptors for photos 1372567966 and 1372567965 Missing descriptors for photos 1372567965 and 1372567963 Missing descriptors for photos 1372567963 and 1372567961 Missing descriptors for photos 1372567961 and 1372568014 Missing descriptors for photos 1372568014 and 1372568009 Missing descriptors for photos 1372568009 and 1372568002 Missing descriptors for photos 1372568002 and 1372567999 0:05:08.998938|OFF:0:00:11.001180|ON:0:01:50.000009|OFF:0:00:09.999866|ON:0:00:00|OFF:0:00:08.998876|ON:0:00:00|OFF:0:00:11.001053|ON:0:00:00|OFF:0:00:10.000247|ON:0:00:00|OFF:0:00:09.999775|ON:Missing descriptors for photos 1372571994 and 1372568458 Missing descriptors for photos 1372568458 and 1372572030 Missing descriptors for photos 1372572030 and 1372572064 Missing descriptors for photos 1372572064 and 1372568453 Missing descriptors for photos 1372568453 and 1372572033 Missing descriptors for photos 1372572033 and 1372572069 Missing descriptors for photos 1372572069 and 1372568450 Missing descriptors for photos 1372568450 and 1372572038 Missing descriptors for photos 1372572038 and 1372572072 Missing descriptors for photos 1372572072 and 1372568448 Missing descriptors for photos 1372568448 and 1372572074 Missing descriptors for photos 1372572074 and 1372572079 Missing descriptors for photos 1372572079 and 1372572082 Missing descriptors for photos 1372572082 and 1372568336 Missing descriptors for photos 1372568336 and 1372568333 Missing descriptors for photos 1372568333 and 1372568328 Missing descriptors for photos 1372568328 and 1372568324 Missing descriptors for photos 1372568324 and 1372568323 Missing descriptors for photos 1372568323 and 1372568321 Missing descriptors for photos 1372568321 and 1372568360 Missing descriptors for photos 1372568360 and 1372568358 Missing descriptors for photos 1372568358 and 1372568357 Missing descriptors for photos 1372568357 and 1372568356 Missing descriptors for photos 1372568356 and 1372568354 Missing descriptors for photos 1372568354 and 1372568352 0:04:59.999927|OFF:0:00:10.000154|ON:0:00:00|OFF:0:00:09.999906|ON:0:00:00|OFF:0:00:08.998826|ON:0:00:00|OFF:0:00:10.001131|ON:0:00:00|OFF:0:00:10.000023|ON:Missing descriptors for photos 1372568597 and 1372568595 Missing descriptors for photos 1372568595 and 1372568593 Missing descriptors for photos 1372568593 and 1372568591 Missing descriptors for photos 1372568591 and 1372568589 Missing descriptors for photos 1372568589 and 1372568652 Missing descriptors for photos 1372568652 and 1372568650 Missing descriptors for photos 1372568650 and 1372568648 Missing descriptors for photos 1372568648 and 1372568646 Missing descriptors for photos 1372568646 and 1372568643 Missing descriptors for photos 1372568643 and 1372568634 Missing descriptors for photos 1372568634 and 1372568706 Missing descriptors for photos 1372568706 and 1372568704 Missing descriptors for photos 1372568704 and 1372568702 Missing descriptors for photos 1372568702 and 1372568700 Missing descriptors for photos 1372568700 and 1372568697 Missing descriptors for photos 1372568853 and 1372568839 Missing descriptors for photos 1372568839 and 1372572241 Missing descriptors for photos 1372572241 and 1372572246 Missing descriptors for photos 1372572246 and 1372572248 Missing descriptors for photos 1372572248 and 1372572388 Missing descriptors for photos 1372572388 and 1372572403 Missing descriptors for photos 1372572403 and 1372572406 Missing descriptors for photos 1372572406 and 1372572409 Missing descriptors for photos 1372572409 and 1372572412 Missing descriptors for photos 1372572412 and 1372568920 Missing descriptors for photos 1372568920 and 1372572416 Missing descriptors for photos 1372572416 and 1372568919 Missing descriptors for photos 1372568919 and 1372572470 Missing descriptors for photos 1372572470 and 1372568916 Missing descriptors for photos 1372568916 and 1372572473 Missing descriptors for photos 1372572473 and 1372568913 Missing descriptors for photos 1372568913 and 1372572476 Missing descriptors for photos 1372572476 and 1372572480 Missing descriptors for photos 1372572480 and 1372572483 Missing descriptors for photos 1372572483 and 1372572486 Missing descriptors for photos 1372572486 and 1372572558 Missing descriptors for photos 1372572558 and 1372572746 Missing descriptors for photos 1372572746 and 1372572819 Missing descriptors for photos 1372572819 and 1372572561 Missing descriptors for photos 1372572561 and 1372572761 0:12:41.000224|OFF:0:00:09.999938|ON:0:00:00|OFF:0:00:09.999943|ON:0:00:00|OFF:0:00:09.999964|ON:0:00:00|OFF:0:00:08.999025|ON:0:00:11.001086|OFF:0:00:09.999966|ON:0:00:00|OFF:0:00:09.999947|ON:0:00:00|OFF:0:00:10.000031|ON:0:00:30.000095|OFF:0:00:10.000014|ON:0:00:00|OFF:0:00:09.999882|ON:0:00:00|OFF:0:00:09.999935|ON:Missing descriptors for photos 1372569151 and 1372569148 Missing descriptors for photos 1372569148 and 1372569145 Missing descriptors for photos 1372569145 and 1372571662 Missing descriptors for photos 1372571662 and 1372571701 Missing descriptors for photos 1372571701 and 1372571745 Missing descriptors for photos 1372571745 and 1372571748 Missing descriptors for photos 1372571748 and 1372571790 Missing descriptors for photos 1372571790 and 1372571883 Missing descriptors for photos 1372571883 and 1372571916 Missing descriptors for photos 1372571916 and 1372571933 Missing descriptors for photos 1372571933 and 1372572002 Missing descriptors for photos 1372572002 and 1372572080 Missing descriptors for photos 1372572080 and 1372571913 Missing descriptors for photos 1372571913 and 1372571897 Missing descriptors for photos 1372571897 and 1372571894 Missing descriptors for photos 1372571894 and 1372573049 Missing descriptors for photos 1372573049 and 1372573047 Missing descriptors for photos 1372573047 and 1372573044 Missing descriptors for photos 1372573044 and 1372572262 Missing descriptors for photos 1372572262 and 1372573030 Missing descriptors for photos 1372573030 and 1372572256 Missing descriptors for photos 1372572256 and 1372572951 Missing descriptors for photos 1372572951 and 1372573027 Missing descriptors for photos 1372573027 and 1372572255 Missing descriptors for photos 1372572255 and 1372572948 Missing descriptors for photos 1372572948 and 1372572980 Missing descriptors for photos 1372572980 and 1372573024 Missing descriptors for photos 1372573024 and 1372573087 Missing descriptors for photos 1372573087 and 1372573175 Missing descriptors for photos 1372573175 and 1372572253 Missing descriptors for photos 1372572253 and 1372572945 Missing descriptors for photos 1372572945 and 1372572969 Missing descriptors for photos 1372572969 and 1372573022 Missing descriptors for photos 1372573022 and 1372573084 Missing descriptors for photos 1372573084 and 1372573173 Missing descriptors for photos 1372573173 and 1372572251 Missing descriptors for photos 1372572251 and 1372572942 Missing descriptors for photos 1372572942 and 1372572966 Missing descriptors for photos 1372572966 and 1372573020 Missing descriptors for photos 1372573020 and 1372573073 Missing descriptors for photos 1372573073 and 1372573171 Missing descriptors for photos 1372573171 and 1372572352 Missing descriptors for photos 1372572352 and 1372572940 Missing descriptors for photos 1372572940 and 1372572962 Missing descriptors for photos 1372572962 and 1372572991 Missing descriptors for photos 1372572991 and 1372573009 Missing descriptors for photos 1372573009 and 1372573065 Missing descriptors for photos 1372573065 and 1372573169 Missing descriptors for photos 1372573169 and 1372572347 Missing descriptors for photos 1372572347 and 1372572677 Missing descriptors for photos 1372572677 and 1372572344 Missing descriptors for photos 1372572344 and 1372572417 Missing descriptors for photos 1372572417 and 1372572672 Missing descriptors for photos 1372572672 and 1372572342 Missing descriptors for photos 1372572342 and 1372572490 Missing descriptors for photos 1372572490 and 1372572583 Missing descriptors for photos 1372572583 and 1372572665 Missing descriptors for photos 1372572665 and 1372572867 Missing descriptors for photos 1372572867 and 1372572339 Missing descriptors for photos 1372572339 and 1372572413 Missing descriptors for photos 1372572413 and 1372572488 Missing descriptors for photos 1372572488 and 1372572550 Missing descriptors for photos 1372572550 and 1372572573 Missing descriptors for photos 1372572573 and 1372572654 Missing descriptors for photos 1372572654 and 1372572856 Missing descriptors for photos 1372572856 and 1372572535 Missing descriptors for photos 1372572535 and 1372572572 Missing descriptors for photos 1372572572 and 1372572634 Missing descriptors for photos 1372572634 and 1372572851 Missing descriptors for photos 1372572851 and 1372572533 Missing descriptors for photos 1372572533 and 1372572571 Missing descriptors for photos 1372572571 and 1372572631 Missing descriptors for photos 1372572631 and 1372572847 18072025 Removing 104 photos because of the 'same image' condition Total on : 2612.0020040000004 list_time_on Total off : 478.99801 list_time_off dist_desc begin to insert list_values into photo_hahstag_ids : length of list_valuse in save_photo_hashtag_id_type : 469 time used for this insertion : 0.06598877906799316 photos_removed : len 104 elapsed_time : remove_photo_duplicate 0.16021513938903809 Creating list_photo_total XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXtime_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is 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moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average elapsed_time : count_sum_diff_and_build_graph 0.04576897621154785 Total photos : 469 ...........can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info ...Change port : 12 hashtag : 616987804 photo_id =1372566785 : emr .....can't find max_score_info ..can't find max_score_info ..can't find max_score_info ..can't find max_score_info .....can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .Change port : 12 hashtag : 492741797 photo_id =1372567197 : ela .........can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info ..can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info ..can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info ..can't find max_score_info .can't find max_score_info .can't find max_score_info ..can't find max_score_info .can't find max_score_info .can't find max_score_info ...can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .Change port : 15 hashtag : 2107760239 photo_id =1372567368 : pehd_pp .......can't find max_score_info .can't find max_score_info ....can't find max_score_info ..........can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .Change port : 19 hashtag : 2107760237 photo_id =1372567653 : film_pedb ........can't find max_score_info .can't find max_score_info ..can't find max_score_info .can't find max_score_info .can't find max_score_info ..can't find max_score_info .can't find max_score_info .can't find max_score_info ..can't find max_score_info .can't find max_score_info .can't find max_score_info ..can't find max_score_info ...can't find max_score_info ..can't find max_score_info .can't find max_score_info ..can't find max_score_info ..can't find max_score_info ..can't find max_score_info ..can't find max_score_info .can't find max_score_info ..can't find max_score_info ..can't find max_score_info ..can't find max_score_info ..can't find max_score_info ..........can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .Change port : 32 hashtag : 2107755846 photo_id =1372568067 : pet_clair ........can't find max_score_info .can't find max_score_info .............can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info ..can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info ..can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info ..can't find max_score_info .can't find max_score_info ..can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .Change port : 24 hashtag : 495916461 photo_id =1372568485 : jrm .can't find max_score_info .can't find max_score_info ..can't find max_score_info ..can't find max_score_info ..can't find max_score_info ..can't find max_score_info .can't find max_score_info ......can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .Change port : 10 hashtag : 560181804 photo_id =1372568693 : pcm .Change port : 1 hashtag : 616987804 photo_id =1372568752 : emr ................can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .Change port : 16 hashtag : 2107760238 photo_id =1372572764 : flux_dev .....can't find max_score_info .can't find max_score_info .can't find max_score_info ..can't find max_score_info .can't find max_score_info ..can't find max_score_info .can't find max_score_info ..can't find max_score_info ...can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info ..can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info ..can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .....can't find max_score_info ..can't find max_score_info ..can't find max_score_info ....can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info Total photos : 469 Number of lists : 10 counter photos in port : 162 hashtag : aluminium(493546845) : 0 photos in 0 portfolios ! hashtag : ela(492741797) : 15 photos in 1 portfolios ! hashtag : emr(616987804) : 28 photos in 2 portfolios ! hashtag : film_pedb(2107760237) : 32 photos in 1 portfolios ! hashtag : flux_dev(2107760238) : 21 photos in 1 portfolios ! hashtag : jrm(495916461) : 10 photos in 1 portfolios ! hashtag : pcm(560181804) : 1 photos in 1 portfolios ! hashtag : pcnc(1284539308) : 12 photos in 1 portfolios ! hashtag : pehd_pp(2107760239) : 19 photos in 1 portfolios ! hashtag : pet_clair(2107755846) : 24 photos in 1 portfolios ! hashtag : refus(538914404) : 0 photos in 0 portfolios ! hashtag : tapis_vide(2107748999) : 0 photos in 0 portfolios ! elapsed_time : group_photo_by_moyenne_exp 0.013644218444824219 elapsed_time : compute_and_correct_tag_with_moyenne_mobile 2.86102294921875e-06 today str has not a value , we define it as the date of the first image todaystr_first : 18072025 attention , prev_timestamp is 0 , we do nothing ooooooooooooooooooooooooooo*oooooooooooooooooooooooooooooooooooooooooooooooo*ooooooo*ooooooooooooooooooooooooooooooooooooooooooo* BIG TIME 448.9988250732422 (1618.9963471889496, 5, 0, 0, 0, 0, 0, 0.3611107, 0, 0, 0, 0, 0, 0, 0.31110001349449157, 0.0395, 0.0030000211000442505, 1.9, 0.011001308917999268, -0.0) on 161 1372571913 2025-07-18 01:00:14.008886 id_data : 408 * BIG TIME 601.0013129711151 (1618.9963471889496, 5, 0, 0, 0, 0, 0, 0.3611107, 0, 0, 0, 0, 0, 0, 0.31110001349449157, 0.0395, 0.0030000211000442505, 1.9, 0.011001308917999268, -0.0) on 161 1372571897 2025-07-18 01:10:15.010199 id_data : 409 ooo*ooooooooooooooooooooo*ooooooooooooo*ooo* BIG TIME 210.00016808509827 (1618.9963471889496, 5, 0, 0, 0, 0, 0, 0.3611107, 0, 0, 0, 0, 0, 0, 0.31110001349449157, 0.0395, 0.0030000211000442505, 1.9, 0.011001308917999268, -0.0) on 161 1372572533 2025-07-18 01:20:05.010462 id_data : 465 oooCount Time bigger than 30s : 9 #Number Photos for regression : {'18072025': {493546845: {2107751013: 0, 2107751014: 0, 2107751015: 0, 2107751016: 0, 2107751017: 0}, 492741797: {2107751013: 0, 2107751014: 88.99886584281921, 2107751015: 61.001442193984985, 2107751016: 0, 2107751017: 0}, 616987804: {2107751013: 0, 2107751014: 147.9988305568695, 2107751015: 9.999946117401123, 2107751016: 41.00128626823425, 2107751017: 0}, 2107760237: {2107751013: 0, 2107751014: 100.99917650222778, 2107751015: 138.9992172718048, 2107751016: 110.00136995315552, 2107751017: 0}, 2107760238: {2107751013: 0, 2107751014: 31.999863862991333, 2107751015: 126.99798917770386, 2107751016: 0, 2107751017: 0}, 495916461: {2107751013: 0, 2107751014: 20.000177145004272, 2107751015: 31.00130796432495, 2107751016: 69.99995470046997, 2107751017: 0}, 560181804: {2107751013: 0, 2107751014: 10.0001060962677, 2107751015: 10.000021934509277, 2107751016: 0, 2107751017: 0}, 1284539308: {2107751013: 0, 2107751014: 40.000030279159546, 2107751015: 88.9987199306488, 2107751016: 30.99985408782959, 2107751017: 0}, 2107760239: {2107751013: 0, 2107751014: 102.00270509719849, 2107751015: 117.99652028083801, 2107751016: 10.000060796737671, 2107751017: 0}, 2107755846: {2107751013: 0, 2107751014: 0, 2107751015: 241.0002100467682, 2107751016: 0, 2107751017: 0}, 538914404: {2107751013: 0, 2107751014: 0, 2107751015: 0, 2107751016: 0, 2107751017: 0}, 2107748999: {2107751013: 0, 2107751014: 0, 2107751015: 1871.0021967887878, 2107751016: 0, 2107751017: 0}}} 18072025|aluminium, 05102018_papier_non_papier_dense:0 18072025|aluminium, 05102018_papier_non_papier_peu_dense:0 18072025|aluminium, 05102018_papier_non_papier_presque_vide:0 18072025|aluminium, 05102018_papier_non_papier_tres_dense:0 18072025|aluminium, 05102018_papier_non_papier_tres_peu_dense:0 18072025|ela, 05102018_papier_non_papier_dense:0 18072025|ela, 05102018_papier_non_papier_peu_dense:88.99886584281921 18072025|ela, 05102018_papier_non_papier_presque_vide:61.001442193984985 18072025|ela, 05102018_papier_non_papier_tres_dense:0 18072025|ela, 05102018_papier_non_papier_tres_peu_dense:0 18072025|emr, 05102018_papier_non_papier_dense:0 18072025|emr, 05102018_papier_non_papier_peu_dense:147.9988305568695 18072025|emr, 05102018_papier_non_papier_presque_vide:9.999946117401123 18072025|emr, 05102018_papier_non_papier_tres_dense:41.00128626823425 18072025|emr, 05102018_papier_non_papier_tres_peu_dense:0 18072025|film_pedb, 05102018_papier_non_papier_dense:0 18072025|film_pedb, 05102018_papier_non_papier_peu_dense:100.99917650222778 18072025|film_pedb, 05102018_papier_non_papier_presque_vide:138.9992172718048 18072025|film_pedb, 05102018_papier_non_papier_tres_dense:110.00136995315552 18072025|film_pedb, 05102018_papier_non_papier_tres_peu_dense:0 18072025|flux_dev, 05102018_papier_non_papier_dense:0 18072025|flux_dev, 05102018_papier_non_papier_peu_dense:31.999863862991333 18072025|flux_dev, 05102018_papier_non_papier_presque_vide:126.99798917770386 18072025|flux_dev, 05102018_papier_non_papier_tres_dense:0 18072025|flux_dev, 05102018_papier_non_papier_tres_peu_dense:0 18072025|jrm, 05102018_papier_non_papier_dense:0 18072025|jrm, 05102018_papier_non_papier_peu_dense:20.000177145004272 18072025|jrm, 05102018_papier_non_papier_presque_vide:31.00130796432495 18072025|jrm, 05102018_papier_non_papier_tres_dense:69.99995470046997 18072025|jrm, 05102018_papier_non_papier_tres_peu_dense:0 18072025|pcm, 05102018_papier_non_papier_dense:0 18072025|pcm, 05102018_papier_non_papier_peu_dense:10.0001060962677 18072025|pcm, 05102018_papier_non_papier_presque_vide:10.000021934509277 18072025|pcm, 05102018_papier_non_papier_tres_dense:0 18072025|pcm, 05102018_papier_non_papier_tres_peu_dense:0 18072025|pcnc, 05102018_papier_non_papier_dense:0 18072025|pcnc, 05102018_papier_non_papier_peu_dense:40.000030279159546 18072025|pcnc, 05102018_papier_non_papier_presque_vide:88.9987199306488 18072025|pcnc, 05102018_papier_non_papier_tres_dense:30.99985408782959 18072025|pcnc, 05102018_papier_non_papier_tres_peu_dense:0 18072025|pehd_pp, 05102018_papier_non_papier_dense:0 18072025|pehd_pp, 05102018_papier_non_papier_peu_dense:102.00270509719849 18072025|pehd_pp, 05102018_papier_non_papier_presque_vide:117.99652028083801 18072025|pehd_pp, 05102018_papier_non_papier_tres_dense:10.000060796737671 18072025|pehd_pp, 05102018_papier_non_papier_tres_peu_dense:0 18072025|pet_clair, 05102018_papier_non_papier_dense:0 18072025|pet_clair, 05102018_papier_non_papier_peu_dense:0 18072025|pet_clair, 05102018_papier_non_papier_presque_vide:241.0002100467682 18072025|pet_clair, 05102018_papier_non_papier_tres_dense:0 18072025|pet_clair, 05102018_papier_non_papier_tres_peu_dense:0 18072025|refus, 05102018_papier_non_papier_dense:0 18072025|refus, 05102018_papier_non_papier_peu_dense:0 18072025|refus, 05102018_papier_non_papier_presque_vide:0 18072025|refus, 05102018_papier_non_papier_tres_dense:0 18072025|refus, 05102018_papier_non_papier_tres_peu_dense:0 18072025|tapis_vide, 05102018_papier_non_papier_dense:0 18072025|tapis_vide, 05102018_papier_non_papier_peu_dense:0 18072025|tapis_vide, 05102018_papier_non_papier_presque_vide:1871.0021967887878 18072025|tapis_vide, 05102018_papier_non_papier_tres_dense:0 18072025|tapis_vide, 05102018_papier_non_papier_tres_peu_dense:0 #Number Photos for regression amount gros magasin papier (time_diff then nb_photo) : We have not displayed the number of photos removed for one material since Rungis_Papier wasn't in the thcl used ! 18072025_time_diff_distrib Number amount portfolio for this type of dechet : aluminium 0 Number amount portfolio for this type of dechet : ela 15 https://marlene.fotonower.com/api/v1/secured/portfolio/new?name=18072025_ela_05102018_papier_non_papier_peu_dense&access_token=3e00c8f3e5af383c48e3c68940ba6fe7 Created to study and clean : 25079560 with name like 18072025_ela_05102018_papier_non_papier_peu_dense https://marlene.fotonower.com/api/v1/secured/portfolio/new?name=18072025_ela_05102018_papier_non_papier_presque_vide&access_token=3e00c8f3e5af383c48e3c68940ba6fe7 Created to study and clean : 25079561 with name like 18072025_ela_05102018_papier_non_papier_presque_vide Number amount portfolio for this type of dechet : emr 20 https://marlene.fotonower.com/api/v1/secured/portfolio/new?name=18072025_emr_05102018_papier_non_papier_peu_dense&access_token=3e00c8f3e5af383c48e3c68940ba6fe7 Created to study and clean : 25079562 with name like 18072025_emr_05102018_papier_non_papier_peu_dense https://marlene.fotonower.com/api/v1/secured/portfolio/new?name=18072025_emr_05102018_papier_non_papier_presque_vide&access_token=3e00c8f3e5af383c48e3c68940ba6fe7 Created to study and clean : 25079563 with name like 18072025_emr_05102018_papier_non_papier_presque_vide https://marlene.fotonower.com/api/v1/secured/portfolio/new?name=18072025_emr_05102018_papier_non_papier_tres_dense&access_token=3e00c8f3e5af383c48e3c68940ba6fe7 Created to study and clean : 25079564 with name like 18072025_emr_05102018_papier_non_papier_tres_dense Number amount portfolio for this type of dechet : film_pedb 34 https://marlene.fotonower.com/api/v1/secured/portfolio/new?name=18072025_film_pedb_05102018_papier_non_papier_peu_dense&access_token=3e00c8f3e5af383c48e3c68940ba6fe7 Created to study and clean : 25079565 with name like 18072025_film_pedb_05102018_papier_non_papier_peu_dense https://marlene.fotonower.com/api/v1/secured/portfolio/new?name=18072025_film_pedb_05102018_papier_non_papier_presque_vide&access_token=3e00c8f3e5af383c48e3c68940ba6fe7 Created to study and clean : 25079566 with name like 18072025_film_pedb_05102018_papier_non_papier_presque_vide https://marlene.fotonower.com/api/v1/secured/portfolio/new?name=18072025_film_pedb_05102018_papier_non_papier_tres_dense&access_token=3e00c8f3e5af383c48e3c68940ba6fe7 Created to study and clean : 25079567 with name like 18072025_film_pedb_05102018_papier_non_papier_tres_dense Number amount portfolio for this type of dechet : flux_dev 16 Number amount portfolio for this type of dechet : jrm 11 Number amount portfolio for this type of dechet : pcm 2 Number amount portfolio for this type of dechet : pcnc 16 https://marlene.fotonower.com/api/v1/secured/portfolio/new?name=18072025_pcnc_05102018_papier_non_papier_peu_dense&access_token=3e00c8f3e5af383c48e3c68940ba6fe7 Created to study and clean : 25079568 with name like 18072025_pcnc_05102018_papier_non_papier_peu_dense https://marlene.fotonower.com/api/v1/secured/portfolio/new?name=18072025_pcnc_05102018_papier_non_papier_presque_vide&access_token=3e00c8f3e5af383c48e3c68940ba6fe7 Created to study and clean : 25079569 with name like 18072025_pcnc_05102018_papier_non_papier_presque_vide https://marlene.fotonower.com/api/v1/secured/portfolio/new?name=18072025_pcnc_05102018_papier_non_papier_tres_dense&access_token=3e00c8f3e5af383c48e3c68940ba6fe7 Created to study and clean : 25079570 with name like 18072025_pcnc_05102018_papier_non_papier_tres_dense Number amount portfolio for this type of dechet : pehd_pp 23 https://marlene.fotonower.com/api/v1/secured/portfolio/new?name=18072025_pehd_pp_05102018_papier_non_papier_peu_dense&access_token=3e00c8f3e5af383c48e3c68940ba6fe7 Created to study and clean : 25079583 with name like 18072025_pehd_pp_05102018_papier_non_papier_peu_dense https://marlene.fotonower.com/api/v1/secured/portfolio/new?name=18072025_pehd_pp_05102018_papier_non_papier_presque_vide&access_token=3e00c8f3e5af383c48e3c68940ba6fe7 Created to study and clean : 25079597 with name like 18072025_pehd_pp_05102018_papier_non_papier_presque_vide https://marlene.fotonower.com/api/v1/secured/portfolio/new?name=18072025_pehd_pp_05102018_papier_non_papier_tres_dense&access_token=3e00c8f3e5af383c48e3c68940ba6fe7 Created to study and clean : 25079599 with name like 18072025_pehd_pp_05102018_papier_non_papier_tres_dense Number amount portfolio for this type of dechet : pet_clair 24 https://marlene.fotonower.com/api/v1/secured/portfolio/new?name=18072025_pet_clair_05102018_papier_non_papier_presque_vide&access_token=3e00c8f3e5af383c48e3c68940ba6fe7 Created to study and clean : 25079601 with name like 18072025_pet_clair_05102018_papier_non_papier_presque_vide Number amount portfolio for this type of dechet : refus 0 Number amount portfolio for this type of dechet : tapis_vide 200 https://marlene.fotonower.com/api/v1/secured/portfolio/new?name=18072025_tapis_vide_05102018_papier_non_papier_presque_vide&access_token=3e00c8f3e5af383c48e3c68940ba6fe7 Created to study and clean : 25079602 with name like 18072025_tapis_vide_05102018_papier_non_papier_presque_vide NUMBER BATCH : 10 list_ponderation used : [0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001] , list_hashtag_class_create_as_list : ['pcnc', 'gm', 'emr', 'ela', 'pet_clair', 'film_pedb', 'pehd_pp', 'flux_dev_rigide', 'aluminium', 'tapis_vide', 'refus', 'gros_cartons', 'gm', 'flux_dev_rigide', 'gros_cartons'] We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! hashtag non trouvé ! We filter photos on hashtag condition ! hashtag non trouvé ! hashtag non trouvé ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! result_one_balle_Type_gros_cartons:{'day': '18072025', 'map_nb_amount': {0: 1, 1: 7, 2: 4, 3: 0, 4: 0}, 'map_time_amount': {0: 9.999945163726807, 1: 69.99988198280334, 2: 30.99985408782959, 3: 0, 4: 0}, 'duration': 250.99984407424927, 'nb_balles_papier': 0.11199968123435974, 'begin_time_port': 'image_18072025_00_00_14_010092m0.jpg 0.001 for time 1, id_amount 3 this amount prod time diff : 0.001'} Production hashtag (incorrect ponderation at 20-10-18) : 0.11199968123435974 We filter photos on hashtag condition ! We filter photos on hashtag condition ! result_one_balle_Type_emr:{'day': '18072025', 'map_nb_amount': {0: 10, 1: 0, 2: 2, 3: 0, 4: 0}, 'map_time_amount': {0: 97.9991385936737, 1: 0, 2: 21.00113821029663, 3: 0, 4: 0}, 'duration': 109.00017285346985, 'nb_balles_papier': 0.11900027680397035, 'begin_time_port': 'image_18072025_00_04_35_010040m0.jpg 0.010000103950500489 for time 10.000103950500488, id_amount 1 this amount prod time diff : 0.010000103950500489'} Production hashtag (incorrect ponderation at 20-10-18) : 0.11900027680397035 We filter photos on hashtag condition ! hashtag non trouvé ! We filter photos on hashtag condition ! hashtag non trouvé ! hashtag non trouvé ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! result_one_balle_Type_ela:{'day': '18072025', 'map_nb_amount': {0: 9, 1: 6, 2: 0, 3: 0, 4: 0}, 'map_time_amount': {0: 88.99886584281921, 1: 61.001442193984985, 2: 0, 3: 0, 4: 0}, 'duration': 140.00028610229492, 'nb_balles_papier': 0.1500003080368042, 'begin_time_port': 'image_18072025_00_08_35_010053m0.jpg 0.010000021934509277 for time 10.000021934509277, id_amount 2 this amount prod time diff : 0.010000021934509277'} Production hashtag (incorrect ponderation at 20-10-18) : 0.1500003080368042 We filter photos on hashtag condition ! We filter photos on hashtag condition ! hashtag non trouvé ! We filter photos on hashtag condition ! hashtag non trouvé ! hashtag non trouvé ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! hashtag non trouvé ! We filter photos on hashtag condition ! hashtag non trouvé ! hashtag non trouvé ! result_one_balle_Type_pehd_pp:{'day': '18072025', 'map_nb_amount': {0: 9, 1: 9, 2: 1, 3: 0, 4: 0}, 'map_time_amount': {0: 92.00263619422913, 1: 86.99650621414185, 2: 10.000060796737671, 3: 0, 4: 0}, 'duration': 188.9990839958191, 'nb_balles_papier': 0.18899920320510863, 'begin_time_port': 'image_18072025_00_12_55_010010m0.jpg 0.010000009059906006 for time 10.000009059906006, id_amount 2 this amount prod time diff : 0.010000009059906006'} Production hashtag (incorrect ponderation at 20-10-18) : 0.18899920320510863 We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! result_one_balle_Type_film_pedb:{'day': '18072025', 'map_nb_amount': {0: 9, 1: 12, 2: 11, 3: 0, 4: 0}, 'map_time_amount': {0: 100.99917650222778, 1: 118.99815034866333, 2: 110.00136995315552, 3: 0, 4: 0}, 'duration': 339.9990818500519, 'nb_balles_papier': 0.3299986968040466, 'begin_time_port': 'image_18072025_00_18_34_010040m0.jpg 0.009999936103820802 for time 9.9999361038208, id_amount 2 this amount prod time diff : 0.009999936103820802'} Production hashtag (incorrect ponderation at 20-10-18) : 0.3299986968040466 hashtag non trouvé ! We filter photos on hashtag condition ! hashtag non trouvé ! hashtag non trouvé ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! hashtag non trouvé ! We filter photos on hashtag condition ! hashtag non trouvé ! hashtag non trouvé ! We filter photos on hashtag condition ! result_one_balle_Type_pet_clair:{'day': '18072025', 'map_nb_amount': {0: 0, 1: 24, 2: 0, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 241.0002100467682, 2: 0, 3: 0, 4: 0}, 'duration': 231.00029802322388, 'nb_balles_papier': 0.24100021004676822, 'begin_time_port': 'image_18072025_00_26_54_010016m0.jpg 0.009999912023544312 for time 9.999912023544312, id_amount 2 this amount prod time diff : 0.009999912023544312'} Production hashtag (incorrect ponderation at 20-10-18) : 0.24100021004676822 We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! hashtag non trouvé ! result_one_balle_Type_jrm:{'day': '18072025', 'map_nb_amount': {0: 2, 1: 2, 2: 6, 3: 0, 4: 0}, 'map_time_amount': {0: 20.000177145004272, 1: 19.999999046325684, 2: 69.99995470046997, 3: 0, 4: 0}, 'duration': 100.00017094612122, 'nb_balles_papier': 0.11000013089179991, 'begin_time_port': 'image_18072025_00_35_55_010016m0.jpg 0.009999959945678712 for time 9.999959945678711, id_amount 3 this amount prod time diff : 0.009999959945678712'} Production hashtag (incorrect ponderation at 20-10-18) : 0.11000013089179991 hashtag non trouvé ! hashtag non trouvé ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! result_one_balle_Type_emr:{'day': '18072025', 'map_nb_amount': {0: 10, 1: 4, 2: 2, 3: 0, 4: 0}, 'map_time_amount': {0: 99.9999520778656, 1: 39.99877595901489, 2: 20.000148057937622, 3: 0, 4: 0}, 'duration': 149.998929977417, 'nb_balles_papier': 0.1599988760948181, 'begin_time_port': 'image_18072025_00_42_54_009979m0.jpg 0.009999946117401123 for time 9.999946117401123, id_amount 2 this amount prod time diff : 0.009999946117401123'} Production hashtag (incorrect ponderation at 20-10-18) : 0.1599988760948181 We filter photos on hashtag condition ! hashtag non trouvé ! We filter photos on hashtag condition ! hashtag non trouvé ! hashtag non trouvé ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! hashtag non trouvé ! We filter photos on hashtag condition ! hashtag non trouvé ! hashtag non trouvé ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! result_one_balle_Type_flux_dev_rigide:{'day': '18072025', 'map_nb_amount': {0: 3, 1: 18, 2: 0, 3: 0, 4: 0}, 'map_time_amount': {0: 31.999863862991333, 1: 178.00038719177246, 2: 0, 3: 0, 4: 0}, 'duration': 200.0001928806305, 'nb_balles_papier': 0.21000025105476386, 'begin_time_port': 'image_18072025_00_48_45_010034m0.jpg 0.0100000581741333 for time 10.0000581741333, id_amount 2 this amount prod time diff : 0.0100000581741333'} Production hashtag (incorrect ponderation at 20-10-18) : 0.21000025105476386 We filter photos on hashtag condition ! We have rejected 1 photos because of the batch_size condition ! NUMBER BATCH list_of_portfolios_to_create : 9 list_same_port_ids : [25062928] find same portfolio which already exist 25062928 , we will use it list_same_port_ids : [25062934] find same portfolio which already exist 25062934 , we will use it list_same_port_ids : [25062937] find same portfolio which already exist 25062937 , we will use it list_same_port_ids : [25062940] find same portfolio which already exist 25062940 , we will use it list_same_port_ids : [25062944] find same portfolio which already exist 25062944 , we will use it list_same_port_ids : [25062947] find same portfolio which already exist 25062947 , we will use it type_dechet jrm not in list to create port, so we just list it with its name (VR TODO 3-6-19 : we need to change this) list_same_port_ids : [25062949] find same portfolio which already exist 25062949 , we will use it list_same_port_ids : [25062952] find same portfolio which already exist 25062952 , we will use it Qualite : 0.042614307020748275 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 11500 mask_detect is not consistent : 3 used against 2 in the step definition ! WARNING : number of outputs for step 11508 brightness is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11509 blur_detection is not consistent : 2 used against 1 in the step definition ! WARNING : number of inputs for step 11504 crop_condition is not consistent : 3 used against 2 in the step definition ! Step 11504 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11507 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11507 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition ! WARNING : number of inputs for step 11501 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11501 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11576 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11576 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of outputs for step 11503 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11502 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11502 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11511 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 11503 doesn't seem to be define in the database( WARNING : type of input 3 of step 11502 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 2 of step 11500 doesn't seem to be define in the database( WARNING : type of input 2 of step 11504 doesn't seem to be define in the database( WARNING : output 1 of step 11500 have datatype=2 whereas input 1 of step 11507 have datatype=7 WARNING : type of output 2 of step 11507 doesn't seem to be define in the database( WARNING : type of input 1 of step 11501 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11503 have datatype=10 whereas input 3 of step 11510 have datatype=6 WARNING : type of input 2 of step 11576 doesn't seem to be define in the database( WARNING : output 1 of step 11501 have datatype=7 whereas input 2 of step 11576 have datatype=None WARNING : type of output 3 of step 11576 doesn't seem to be define in the database( WARNING : type of input 1 of step 11503 doesn't seem to be define in the database( WARNING : output 0 of step 11503 have datatype=10 whereas input 0 of step 11582 have datatype=18 WARNING : type of input 5 of step 11510 doesn't seem to be define in the database( WARNING : output 0 of step 11582 have datatype=11 whereas input 5 of step 11510 have datatype=None WARNING : type of output 1 of step 11508 doesn't seem to be define in the database( WARNING : type of input 3 of step 11504 doesn't seem to be define in the database( WARNING : type of output 1 of step 11509 doesn't seem to be define in the database( WARNING : type of input 3 of step 11504 doesn't seem to be define in the database( WARNING : output 0 of step 11507 have datatype=1 whereas input 0 of step 11501 have datatype=2 DataTypes for each output/input checked ! TODO Duplicate data, are they consistent 3 ? Duplicate data, are they consistent 4 ? SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id, mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc, h.hashtag FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h WHERE h.hashtag_id=mptpi.hashtag_id AND mptpi.`mtr_portfolio_id_1`=25062928 AND mptpi.`type`=4207 To do Qualite : 0.0934135255858281 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 11500 mask_detect is not consistent : 3 used against 2 in the step definition ! WARNING : number of outputs for step 11508 brightness is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11509 blur_detection is not consistent : 2 used against 1 in the step definition ! WARNING : number of inputs for step 11504 crop_condition is not consistent : 3 used against 2 in the step definition ! Step 11504 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11507 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11507 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition ! WARNING : number of inputs for step 11501 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11501 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11576 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11576 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of outputs for step 11503 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11502 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11502 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11511 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 11503 doesn't seem to be define in the database( WARNING : type of input 3 of step 11502 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 2 of step 11500 doesn't seem to be define in the database( WARNING : type of input 2 of step 11504 doesn't seem to be define in the database( WARNING : output 1 of step 11500 have datatype=2 whereas input 1 of step 11507 have datatype=7 WARNING : type of output 2 of step 11507 doesn't seem to be define in the database( WARNING : type of input 1 of step 11501 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11503 have datatype=10 whereas input 3 of step 11510 have datatype=6 WARNING : type of input 2 of step 11576 doesn't seem to be define in the database( WARNING : output 1 of step 11501 have datatype=7 whereas input 2 of step 11576 have datatype=None WARNING : type of output 3 of step 11576 doesn't seem to be define in the database( WARNING : type of input 1 of step 11503 doesn't seem to be define in the database( WARNING : output 0 of step 11503 have datatype=10 whereas input 0 of step 11582 have datatype=18 WARNING : type of input 5 of step 11510 doesn't seem to be define in the database( WARNING : output 0 of step 11582 have datatype=11 whereas input 5 of step 11510 have datatype=None WARNING : type of output 1 of step 11508 doesn't seem to be define in the database( WARNING : type of input 3 of step 11504 doesn't seem to be define in the database( WARNING : type of output 1 of step 11509 doesn't seem to be define in the database( WARNING : type of input 3 of step 11504 doesn't seem to be define in the database( WARNING : output 0 of step 11507 have datatype=1 whereas input 0 of step 11501 have datatype=2 DataTypes for each output/input checked ! TODO Duplicate data, are they consistent 3 ? Duplicate data, are they consistent 4 ? SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id, mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc, h.hashtag FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h WHERE h.hashtag_id=mptpi.hashtag_id AND mptpi.`mtr_portfolio_id_1`=25062934 AND mptpi.`type`=4207 To do # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 11512 mask_detect is not consistent : 3 used against 2 in the step definition ! WARNING : number of outputs for step 11521 blur_detection is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11520 brightness is not consistent : 2 used against 1 in the step definition ! WARNING : number of inputs for step 11516 crop_condition is not consistent : 3 used against 2 in the step definition ! Step 11516 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11519 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11519 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition ! WARNING : number of inputs for step 11513 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11513 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11577 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11577 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of outputs for step 11515 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11514 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11514 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11523 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 11515 doesn't seem to be define in the database( WARNING : type of input 3 of step 11514 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 2 of step 11512 doesn't seem to be define in the database( WARNING : type of input 2 of step 11516 doesn't seem to be define in the database( WARNING : output 1 of step 11512 have datatype=2 whereas input 1 of step 11519 have datatype=7 WARNING : type of output 2 of step 11519 doesn't seem to be define in the database( WARNING : type of input 1 of step 11513 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11515 have datatype=10 whereas input 3 of step 11522 have datatype=6 WARNING : type of input 2 of step 11577 doesn't seem to be define in the database( WARNING : output 1 of step 11513 have datatype=7 whereas input 2 of step 11577 have datatype=None WARNING : type of output 3 of step 11577 doesn't seem to be define in the database( WARNING : type of input 1 of step 11515 doesn't seem to be define in the database( WARNING : output 0 of step 11515 have datatype=10 whereas input 0 of step 11583 have datatype=18 WARNING : type of input 5 of step 11522 doesn't seem to be define in the database( WARNING : output 0 of step 11583 have datatype=11 whereas input 5 of step 11522 have datatype=None WARNING : type of output 1 of step 11521 doesn't seem to be define in the database( WARNING : type of input 3 of step 11516 doesn't seem to be define in the database( WARNING : type of output 1 of step 11520 doesn't seem to be define in the database( WARNING : type of input 3 of step 11516 doesn't seem to be define in the database( WARNING : output 0 of step 11519 have datatype=1 whereas input 0 of step 11513 have datatype=2 DataTypes for each output/input checked ! TODO Duplicate data, are they consistent 3 ? Duplicate data, are they consistent 4 ? SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id, mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc, h.hashtag FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h WHERE h.hashtag_id=mptpi.hashtag_id AND mptpi.`mtr_portfolio_id_1`=25062937 AND mptpi.`type`=4203 To do Qualite : 0.0637748192122958 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 11524 mask_detect is not consistent : 3 used against 2 in the step definition ! WARNING : number of outputs for step 11533 blur_detection is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11532 brightness is not consistent : 2 used against 1 in the step definition ! WARNING : number of inputs for step 11528 crop_condition is not consistent : 3 used against 2 in the step definition ! Step 11528 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11531 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11531 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition ! WARNING : number of inputs for step 11525 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11525 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11578 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11578 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of outputs for step 11527 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11526 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11526 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11535 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 11527 doesn't seem to be define in the database( WARNING : type of input 3 of step 11526 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 2 of step 11524 doesn't seem to be define in the database( WARNING : type of input 2 of step 11528 doesn't seem to be define in the database( WARNING : output 1 of step 11524 have datatype=2 whereas input 1 of step 11531 have datatype=7 WARNING : type of output 2 of step 11531 doesn't seem to be define in the database( WARNING : type of input 1 of step 11525 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11527 have datatype=10 whereas input 3 of step 11534 have datatype=6 WARNING : type of input 2 of step 11578 doesn't seem to be define in the database( WARNING : output 1 of step 11525 have datatype=7 whereas input 2 of step 11578 have datatype=None WARNING : type of output 3 of step 11578 doesn't seem to be define in the database( WARNING : type of input 1 of step 11527 doesn't seem to be define in the database( WARNING : output 0 of step 11527 have datatype=10 whereas input 0 of step 11584 have datatype=18 WARNING : type of input 5 of step 11534 doesn't seem to be define in the database( WARNING : output 0 of step 11584 have datatype=11 whereas input 5 of step 11534 have datatype=None WARNING : type of output 1 of step 11533 doesn't seem to be define in the database( WARNING : type of input 3 of step 11528 doesn't seem to be define in the database( WARNING : type of output 1 of step 11532 doesn't seem to be define in the database( WARNING : type of input 3 of step 11528 doesn't seem to be define in the database( WARNING : output 0 of step 11531 have datatype=1 whereas input 0 of step 11525 have datatype=2 DataTypes for each output/input checked ! TODO Duplicate data, are they consistent 3 ? Duplicate data, are they consistent 4 ? SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id, mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc, h.hashtag FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h WHERE h.hashtag_id=mptpi.hashtag_id AND mptpi.`mtr_portfolio_id_1`=25062940 AND mptpi.`type`=4211 To do Qualite : 0.14290449329112737 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 11978 mask_detect is not consistent : 3 used against 2 in the step definition ! WARNING : number of outputs for step 11987 blur_detection is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11986 brightness is not consistent : 2 used against 1 in the step definition ! WARNING : number of inputs for step 11982 crop_condition is not consistent : 3 used against 2 in the step definition ! Step 11982 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11985 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11985 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition ! WARNING : number of inputs for step 11979 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11979 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11990 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11990 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of outputs for step 11981 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11980 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11980 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11989 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 11981 doesn't seem to be define in the database( WARNING : type of input 3 of step 11980 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 2 of step 11978 doesn't seem to be define in the database( WARNING : type of input 2 of step 11982 doesn't seem to be define in the database( WARNING : output 1 of step 11978 have datatype=2 whereas input 1 of step 11985 have datatype=7 WARNING : type of output 2 of step 11985 doesn't seem to be define in the database( WARNING : type of input 1 of step 11979 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11981 have datatype=10 whereas input 3 of step 11988 have datatype=6 WARNING : type of input 2 of step 11990 doesn't seem to be define in the database( WARNING : output 1 of step 11979 have datatype=7 whereas input 2 of step 11990 have datatype=None WARNING : type of output 3 of step 11990 doesn't seem to be define in the database( WARNING : type of input 1 of step 11981 doesn't seem to be define in the database( WARNING : output 0 of step 11981 have datatype=10 whereas input 0 of step 11991 have datatype=18 WARNING : type of input 5 of step 11988 doesn't seem to be define in the database( WARNING : output 0 of step 11991 have datatype=11 whereas input 5 of step 11988 have datatype=None WARNING : type of output 1 of step 11987 doesn't seem to be define in the database( WARNING : type of input 3 of step 11982 doesn't seem to be define in the database( WARNING : type of output 1 of step 11986 doesn't seem to be define in the database( WARNING : type of input 3 of step 11982 doesn't seem to be define in the database( WARNING : output 0 of step 11985 have datatype=1 whereas input 0 of step 11979 have datatype=2 DataTypes for each output/input checked ! TODO Duplicate data, are they consistent 3 ? Duplicate data, are they consistent 4 ? SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id, mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc, h.hashtag FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h WHERE h.hashtag_id=mptpi.hashtag_id AND mptpi.`mtr_portfolio_id_1`=25062944 AND mptpi.`type`=4461 To do Qualite : 0.0633653415412973 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 11560 mask_detect is not consistent : 3 used against 2 in the step definition ! Step 11567 mask_detect have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11567 mask_detect is not consistent : 3 used against 2 in the step definition ! WARNING : number of inputs for step 11563 crop_condition is not consistent : 4 used against 2 in the step definition ! Step 11563 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11564 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11564 merge_mask_thcl_custom is not consistent : 4 used against 2 in the step definition ! WARNING : number of inputs for step 11565 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11565 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11573 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11573 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of inputs for step 11568 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11568 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11566 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11566 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! WARNING : type of output 2 of step 11560 doesn't seem to be define in the database( WARNING : type of input 2 of step 11563 doesn't seem to be define in the database( WARNING : output 1 of step 11560 have datatype=2 whereas input 1 of step 11564 have datatype=7 WARNING : type of output 2 of step 11564 doesn't seem to be define in the database( WARNING : type of input 1 of step 11565 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 2 of step 11567 doesn't seem to be define in the database( WARNING : type of input 3 of step 11563 doesn't seem to be define in the database( WARNING : type of output 3 of step 11564 doesn't seem to be define in the database( WARNING : type of input 1 of step 11568 doesn't seem to be define in the database( WARNING : type of output 1 of step 11568 doesn't seem to be define in the database( WARNING : type of input 3 of step 11566 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of input 2 of step 11563 doesn't seem to be define in the database( WARNING : output 0 of step 11570 have datatype=6 whereas input 2 of step 11563 have datatype=None WARNING : type of input 2 of step 11563 doesn't seem to be define in the database( WARNING : output 0 of step 11569 have datatype=6 whereas input 2 of step 11563 have datatype=None WARNING : type of output 2 of step 11560 doesn't seem to be define in the database( WARNING : type of input 1 of step 11570 doesn't seem to be define in the database( WARNING : type of output 2 of step 11560 doesn't seem to be define in the database( WARNING : type of input 1 of step 11569 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11568 have datatype=10 whereas input 3 of step 11571 have datatype=6 WARNING : type of input 2 of step 11573 doesn't seem to be define in the database( WARNING : output 1 of step 11565 have datatype=7 whereas input 2 of step 11573 have datatype=None WARNING : type of output 3 of step 11573 doesn't seem to be define in the database( WARNING : type of input 3 of step 11568 doesn't seem to be define in the database( WARNING : output 0 of step 11568 have datatype=10 whereas input 0 of step 11587 have datatype=18 WARNING : type of input 5 of step 11571 doesn't seem to be define in the database( WARNING : output 0 of step 11587 have datatype=11 whereas input 5 of step 11571 have datatype=None WARNING : output 0 of step 11564 have datatype=1 whereas input 0 of step 11565 have datatype=2 DataTypes for each output/input checked ! TODO Duplicate data, are they consistent 3 ? Duplicate data, are they consistent 4 ? SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id, mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc, h.hashtag FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h WHERE h.hashtag_id=mptpi.hashtag_id AND mptpi.`mtr_portfolio_id_1`=25062947 AND mptpi.`type`=3327 To do Qualite : 0.09904296071506741 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 11500 mask_detect is not consistent : 3 used against 2 in the step definition ! WARNING : number of outputs for step 11508 brightness is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11509 blur_detection is not consistent : 2 used against 1 in the step definition ! WARNING : number of inputs for step 11504 crop_condition is not consistent : 3 used against 2 in the step definition ! Step 11504 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11507 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11507 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition ! WARNING : number of inputs for step 11501 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11501 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11576 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11576 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of outputs for step 11503 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11502 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11502 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11511 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 11503 doesn't seem to be define in the database( WARNING : type of input 3 of step 11502 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 2 of step 11500 doesn't seem to be define in the database( WARNING : type of input 2 of step 11504 doesn't seem to be define in the database( WARNING : output 1 of step 11500 have datatype=2 whereas input 1 of step 11507 have datatype=7 WARNING : type of output 2 of step 11507 doesn't seem to be define in the database( WARNING : type of input 1 of step 11501 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11503 have datatype=10 whereas input 3 of step 11510 have datatype=6 WARNING : type of input 2 of step 11576 doesn't seem to be define in the database( WARNING : output 1 of step 11501 have datatype=7 whereas input 2 of step 11576 have datatype=None WARNING : type of output 3 of step 11576 doesn't seem to be define in the database( WARNING : type of input 1 of step 11503 doesn't seem to be define in the database( WARNING : output 0 of step 11503 have datatype=10 whereas input 0 of step 11582 have datatype=18 WARNING : type of input 5 of step 11510 doesn't seem to be define in the database( WARNING : output 0 of step 11582 have datatype=11 whereas input 5 of step 11510 have datatype=None WARNING : type of output 1 of step 11508 doesn't seem to be define in the database( WARNING : type of input 3 of step 11504 doesn't seem to be define in the database( WARNING : type of output 1 of step 11509 doesn't seem to be define in the database( WARNING : type of input 3 of step 11504 doesn't seem to be define in the database( WARNING : output 0 of step 11507 have datatype=1 whereas input 0 of step 11501 have datatype=2 DataTypes for each output/input checked ! TODO Duplicate data, are they consistent 3 ? Duplicate data, are they consistent 4 ? SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id, mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc, h.hashtag FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h WHERE h.hashtag_id=mptpi.hashtag_id AND mptpi.`mtr_portfolio_id_1`=25062949 AND mptpi.`type`=4207 To do Qualite : 0.3315486963560805 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 13185 mask_detect is not consistent : 3 used against 2 in the step definition ! WARNING : number of outputs for step 13193 brightness is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 13194 blur_detection is not consistent : 2 used against 1 in the step definition ! WARNING : number of inputs for step 13189 crop_condition is not consistent : 3 used against 2 in the step definition ! Step 13189 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 13191 argmax have less outputs used (1) than in the step definition (2) : some outputs may be not used ! WARNING : number of outputs for step 13192 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition ! WARNING : number of inputs for step 13186 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 13186 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 13197 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 13197 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of outputs for step 13188 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 13187 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 13187 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 13196 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 13188 doesn't seem to be define in the database( WARNING : type of input 3 of step 13187 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 2 of step 13185 doesn't seem to be define in the database( WARNING : type of input 2 of step 13189 doesn't seem to be define in the database( WARNING : output 0 of step 13185 have datatype=16 whereas input 0 of step 13192 have datatype=1 WARNING : output 1 of step 13185 have datatype=2 whereas input 1 of step 13192 have datatype=7 WARNING : output 0 of step 13191 have datatype=6 whereas input 2 of step 13192 have datatype=5 WARNING : type of output 2 of step 13192 doesn't seem to be define in the database( WARNING : type of input 1 of step 13186 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 13188 have datatype=10 whereas input 3 of step 13195 have datatype=6 WARNING : type of input 2 of step 13197 doesn't seem to be define in the database( WARNING : output 1 of step 13186 have datatype=7 whereas input 2 of step 13197 have datatype=None WARNING : type of output 3 of step 13197 doesn't seem to be define in the database( WARNING : type of input 1 of step 13188 doesn't seem to be define in the database( WARNING : output 0 of step 13188 have datatype=10 whereas input 0 of step 13198 have datatype=18 WARNING : type of input 5 of step 13195 doesn't seem to be define in the database( WARNING : output 0 of step 13198 have datatype=11 whereas input 5 of step 13195 have datatype=None WARNING : type of output 1 of step 13193 doesn't seem to be define in the database( WARNING : type of input 3 of step 13189 doesn't seem to be define in the database( WARNING : type of output 1 of step 13194 doesn't seem to be define in the database( WARNING : type of input 3 of step 13189 doesn't seem to be define in the database( WARNING : output 0 of step 13192 have datatype=1 whereas input 0 of step 13186 have datatype=2 DataTypes for each output/input checked ! TODO Duplicate data, are they consistent 3 ? Duplicate data, are they consistent 4 ? SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id, mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc, h.hashtag FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h WHERE h.hashtag_id=mptpi.hashtag_id AND mptpi.`mtr_portfolio_id_1`=25062952 AND mptpi.`type`=4200 To do elapsed_time : count_nb_balles_and_create_portfolio 70.97833561897278 # DISPLAY ALL COLLECTED DATA : {'18072025': {'nb_upload': 469, 'nb_taggue_class': 469, 'nb_taggue_densite': 469, 'nb_descriptors': 266, 'number_port': 10, 'count_photo_in_port': 162, 'nb_port_per_class': {'aluminium': {'nb_photos': 0, 'nb_portfolios': 0}, 'ela': {'nb_photos': 15, 'nb_portfolios': 1}, 'emr': {'nb_photos': 28, 'nb_portfolios': 2}, 'film_pedb': {'nb_photos': 32, 'nb_portfolios': 1}, 'flux_dev': {'nb_photos': 21, 'nb_portfolios': 1}, 'jrm': {'nb_photos': 10, 'nb_portfolios': 1}, 'pcm': {'nb_photos': 1, 'nb_portfolios': 1}, 'pcnc': {'nb_photos': 12, 'nb_portfolios': 1}, 'pehd_pp': {'nb_photos': 19, 'nb_portfolios': 1}, 'pet_clair': {'nb_photos': 24, 'nb_portfolios': 1}, 'refus': {'nb_photos': 0, 'nb_portfolios': 0}, 'tapis_vide': {'nb_photos': 0, 'nb_portfolios': 0}}}} Inside saveOutput : final : True verbose : 0 saveOutput not yet implemented for datou_step.type : split_time_score we use saveGeneral [1372573175, 1372573173, 1372573171, 1372573169, 1372573092, 1372573090, 1372573088, 1372573087, 1372573084, 1372573073, 1372573065, 1372573057, 1372573054, 1372573052, 1372573049, 1372573047, 1372573044, 1372573041, 1372573030, 1372573027, 1372573024, 1372573022, 1372573020, 1372573009, 1372572991, 1372572980, 1372572969, 1372572966, 1372572962, 1372572951, 1372572948, 1372572945, 1372572942, 1372572940, 1372572938, 1372572937, 1372572934, 1372572917, 1372572867, 1372572856, 1372572851, 1372572847, 1372572819, 1372572774, 1372572770, 1372572768, 1372572764, 1372572761, 1372572746, 1372572677, 1372572672, 1372572665, 1372572654, 1372572634, 1372572631, 1372572583, 1372572573, 1372572572, 1372572571, 1372572561, 1372572558, 1372572550, 1372572535, 1372572533, 1372572490, 1372572488, 1372572486, 1372572483, 1372572480, 1372572476, 1372572473, 1372572470, 1372572417, 1372572416, 1372572413, 1372572412, 1372572409, 1372572406, 1372572403, 1372572388, 1372572352, 1372572347, 1372572344, 1372572342, 1372572340, 1372572339, 1372572262, 1372572256, 1372572255, 1372572253, 1372572251, 1372572248, 1372572246, 1372572241, 1372572237, 1372572233, 1372572229, 1372572095, 1372572091, 1372572087] Looping around the photos to save general results len do output : 1 /25050144Didn't retrieve data . before output type Here is an output not treated by saveGeneral : Managing all output in save final without adding information in the mtr_datou_result ('4323', None, None, None, None, None, None, None, '3308094') ('4323', '25050144', '1372573175', None, None, None, None, None, '3308094') ('4323', None, None, None, None, None, None, None, '3308094') ('4323', '25050144', '1372573173', None, None, None, None, None, '3308094') ('4323', None, None, None, None, None, None, None, '3308094') ('4323', '25050144', '1372573171', None, None, None, None, None, '3308094') ('4323', None, None, None, None, None, None, None, '3308094') ('4323', '25050144', '1372573169', None, None, None, None, None, '3308094') ('4323', None, None, None, None, None, None, None, '3308094') ('4323', '25050144', '1372573092', None, None, None, None, None, '3308094') ('4323', None, None, None, None, None, None, None, '3308094') ('4323', '25050144', '1372573090', None, None, None, None, None, '3308094') ('4323', None, None, None, None, None, None, None, '3308094') ('4323', '25050144', '1372573088', None, None, None, None, None, '3308094') ('4323', None, None, None, None, None, None, None, '3308094') ('4323', '25050144', '1372573087', None, None, None, None, None, '3308094') ('4323', None, None, None, None, None, None, None, '3308094') ('4323', '25050144', '1372573084', None, None, None, None, None, '3308094') ('4323', None, None, None, None, None, None, None, '3308094') ('4323', '25050144', '1372573073', None, None, None, None, None, '3308094') ('4323', None, None, None, None, None, None, None, '3308094') ('4323', '25050144', '1372573065', None, None, None, None, None, '3308094') ('4323', None, None, None, None, None, None, None, '3308094') ('4323', '25050144', '1372573057', None, None, None, None, None, '3308094') ('4323', None, None, None, None, None, None, None, '3308094') ('4323', '25050144', '1372573054', None, None, None, None, None, '3308094') ('4323', None, None, None, None, None, None, None, '3308094') ('4323', '25050144', '1372573052', None, None, None, None, None, '3308094') ('4323', None, None, None, None, None, None, None, '3308094') ('4323', '25050144', '1372573049', None, None, None, None, None, '3308094') ('4323', None, None, None, None, None, None, None, '3308094') ('4323', '25050144', '1372573047', None, None, None, None, None, '3308094') ('4323', None, None, None, None, None, None, None, '3308094') ('4323', '25050144', '1372573044', None, None, None, None, None, '3308094') ('4323', None, None, None, None, None, None, None, '3308094') ('4323', '25050144', '1372573041', None, None, None, None, None, '3308094') ('4323', None, None, None, None, None, None, None, '3308094') ('4323', '25050144', '1372573030', None, None, None, None, None, '3308094') ('4323', None, None, None, None, None, None, None, '3308094') ('4323', '25050144', '1372573027', None, None, None, None, None, '3308094') ('4323', None, None, None, None, None, None, None, '3308094') ('4323', '25050144', '1372573024', None, None, None, None, None, '3308094') ('4323', None, None, None, None, None, None, None, '3308094') ('4323', '25050144', '1372573022', None, None, None, None, None, '3308094') ('4323', None, None, None, None, None, None, None, '3308094') ('4323', '25050144', '1372573020', None, None, None, None, None, '3308094') ('4323', None, None, None, None, None, None, None, '3308094') ('4323', '25050144', '1372573009', None, None, None, None, None, '3308094') ('4323', None, None, None, None, None, None, None, '3308094') ('4323', '25050144', '1372572991', None, None, None, None, None, '3308094') ('4323', None, None, None, None, None, None, None, '3308094') ('4323', '25050144', '1372572980', None, None, None, None, None, '3308094') ('4323', None, None, None, None, None, None, None, '3308094') ('4323', '25050144', '1372572969', None, None, None, None, None, '3308094') ('4323', None, None, None, None, None, None, None, '3308094') ('4323', '25050144', '1372572966', None, None, None, None, None, '3308094') ('4323', None, None, None, None, None, None, None, '3308094') ('4323', '25050144', '1372572962', None, None, None, None, None, '3308094') ('4323', None, None, None, None, None, None, None, '3308094') ('4323', '25050144', '1372572951', None, None, None, None, None, '3308094') ('4323', None, None, None, None, None, None, None, '3308094') ('4323', '25050144', '1372572948', None, None, None, None, None, '3308094') ('4323', None, None, None, None, None, None, None, '3308094') ('4323', '25050144', '1372572945', None, None, None, None, None, '3308094') ('4323', None, None, None, None, None, None, None, '3308094') ('4323', '25050144', '1372572942', None, None, None, None, None, '3308094') ('4323', None, None, None, None, None, None, None, '3308094') ('4323', '25050144', '1372572940', None, None, None, None, None, '3308094') ('4323', None, None, None, None, None, None, None, '3308094') ('4323', '25050144', '1372572938', None, None, None, None, None, '3308094') ('4323', None, None, None, None, None, None, None, '3308094') ('4323', '25050144', '1372572937', None, None, None, None, None, '3308094') ('4323', None, None, None, None, None, None, None, '3308094') ('4323', '25050144', '1372572934', None, None, None, None, None, '3308094') ('4323', None, None, None, None, None, None, None, '3308094') ('4323', '25050144', '1372572917', None, None, None, None, None, '3308094') ('4323', None, None, None, None, None, None, None, '3308094') ('4323', '25050144', '1372572867', None, None, None, None, None, '3308094') ('4323', None, None, None, None, None, None, None, '3308094') ('4323', '25050144', '1372572856', None, None, None, None, None, '3308094') ('4323', None, None, None, None, None, None, None, '3308094') ('4323', '25050144', '1372572851', None, None, None, None, None, '3308094') ('4323', None, None, None, None, None, None, None, '3308094') ('4323', '25050144', '1372572847', None, None, None, None, None, '3308094') ('4323', None, None, None, None, None, None, None, '3308094') ('4323', '25050144', '1372572819', None, None, None, None, None, '3308094') ('4323', None, None, None, None, None, None, None, '3308094') ('4323', '25050144', '1372572774', None, None, None, None, None, '3308094') ('4323', None, None, None, None, None, None, None, 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None, None, None, None, '3308094') ('4323', None, None, None, None, None, None, None, '3308094') ('4323', '25050144', '1372572255', None, None, None, None, None, '3308094') ('4323', None, None, None, None, None, None, None, '3308094') ('4323', '25050144', '1372572253', None, None, None, None, None, '3308094') ('4323', None, None, None, None, None, None, None, '3308094') ('4323', '25050144', '1372572251', None, None, None, None, None, '3308094') ('4323', None, None, None, None, None, None, None, '3308094') ('4323', '25050144', '1372572248', None, None, None, None, None, '3308094') ('4323', None, None, None, None, None, None, None, '3308094') ('4323', '25050144', '1372572246', None, None, None, None, None, '3308094') ('4323', None, None, None, None, None, None, None, '3308094') ('4323', '25050144', '1372572241', None, None, None, None, None, '3308094') ('4323', None, None, None, None, None, None, None, '3308094') ('4323', '25050144', '1372572237', None, None, None, None, None, '3308094') ('4323', None, None, None, None, None, None, None, '3308094') ('4323', '25050144', '1372572233', None, None, None, None, None, '3308094') ('4323', None, None, None, None, None, None, None, '3308094') ('4323', '25050144', '1372572229', None, None, None, None, None, '3308094') ('4323', None, None, None, None, None, None, None, '3308094') ('4323', '25050144', '1372572095', None, None, None, None, None, '3308094') ('4323', None, None, None, None, None, None, None, '3308094') ('4323', '25050144', '1372572091', None, None, None, None, None, '3308094') ('4323', None, None, None, None, None, None, None, '3308094') ('4323', '25050144', '1372572087', None, None, None, None, None, '3308094') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 101 time used for this insertion : 0.025321006774902344 save_final save missing photos in datou_result : time spend for datou_step_exec : 83.33514952659607 time spend to save output : 0.026218652725219727 total time spend for step 1 : 83.36136817932129 caffe_path_current : About to save ! 2 After save, about to update current ! ret : 2 len(input) + len(total_photo_id_missing) : 1 set_done_treatment 2.06user 0.84system 1:26.23elapsed 3%CPU (0avgtext+0avgdata 106892maxresident)k 0inputs+2424outputs (14major+50038minor)pagefaults 0swaps