python /home/admin/mtr/script_for_cron.py -j datou_current3 -m 8 -a ' -a 4323 -l 20 --fifo' -s datou_current_sts -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 : 1387272 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 : ['3265343'] with mtr_portfolio_ids : ['24795299'] and first list_photo_ids : [] new path : /proc/1387272/ 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 list_input_json : {} origin We have 1 , we have missing 0 photos in the step downloads : photo missing : [] try to delete the photos missing in DB time to download the photos : 0.01445627212524414 About to test input to load Calling datou_exec Inside datou_exec : verbose : 0 number of steps : 1 step1:split_time_score Thu Jul 10 12:05:07 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'}] (('06', 12), ('00', 6)) ERROR counted https://github.com/fotonower/Velours/issues/663#issuecomment-421136223 {1: 12} 10072025 24795299 Nombre de photos uploadées : 18 / 23040 (0%) 10072025 24795299 Nombre de photos taguées (types de déchets): 12 / 18 (66%) 10072025 24795299 Nombre de photos taguées (volume) : 12 / 18 (66%) elapsed_time : load_data_split_time_score 9.5367431640625e-07 elapsed_time : order_list_meta_photo_and_scores 9.298324584960938e-06 ?????? elapsed_time : fill_and_build_computed_from_old_data 0.0008666515350341797 elapsed_time : insert_dashboard_record_day_entry 0.022986412048339844 Creating list_photo_total elapsed_time : select_descriptors 0.6726830005645752 10072025 24795299 Nombre de photos avec descriptors (type 6032) : 7 / 13 (53%) Missing descriptors for photos 0 and 1371498206 0:00:00|ON:Missing descriptors for photos 1371498206 and 1371498268 Missing descriptors for photos 1371498268 and 1371498350 Missing descriptors for photos 1371498350 and 1371498431 Missing descriptors for photos 1371498431 and 1371498514 ERROR : Hum hum, what can we do for different size of descriptors (ignore the difference ) : 1280 vs 0 photo_id : 1371499552 photo_id_prec : 1371498599 Missing descriptors for photos 1371499552 and 1371499536 Missing descriptors for photos 1371499536 and 1371499533 Missing descriptors for photos 1371499533 and 1371499528 Missing descriptors for photos 1371499528 and 1371499523 Missing descriptors for photos 1371499523 and 1371499521 ERROR : Hum hum, what can we do for different size of descriptors (ignore the difference ) : 0 vs 1280 photo_id : 1371496963 photo_id_prec : 1371499521 6:46:19.999614|OFF: 10072025 Removing 1 photos because of the 'same image' condition Total on : 24379.999614 list_time_on Warning in study_and_display_distrib_list : min=max : 24379.999614 24379.999614 Total off : 0.0 list_time_off Warning in study_and_display_distrib_list : min=max : 0.0 0.0 dist_desc begin to insert list_values into photo_hahstag_ids : length of list_valuse in save_photo_hashtag_id_type : 18 time used for this insertion : 0.009903430938720703 photos_removed : len 1 elapsed_time : remove_photo_duplicate 0.04570150375366211 Creating list_photo_total XWarning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null 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 ERROR ! ERROR ! elapsed_time : count_sum_diff_and_build_graph 0.005356550216674805 Total photos : 18 .can't find max_score_info .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 : 0 hashtag : 1284539308 photo_id =1371498599 : pcnc .Change port : 1 hashtag : 2107760237 photo_id =1371496963 : film_pedb .....can't find max_score_info Total photos : 18 Number of lists : 3 counter photos in port : 6 hashtag : aluminium(493546845) : 0 photos in 0 portfolios ! hashtag : ela(492741797) : 0 photos in 0 portfolios ! hashtag : emr(616987804) : 0 photos in 0 portfolios ! hashtag : film_pedb(2107760237) : 5 photos in 1 portfolios ! hashtag : flux_dev(2107760238) : 0 photos in 0 portfolios ! hashtag : jrm(495916461) : 0 photos in 0 portfolios ! hashtag : pcm(560181804) : 0 photos in 0 portfolios ! hashtag : pcnc(1284539308) : 1 photos in 1 portfolios ! hashtag : pehd_pp(2107760239) : 0 photos in 0 portfolios ! hashtag : pet_clair(2107755846) : 0 photos in 0 portfolios ! hashtag : refus(538914404) : 0 photos in 0 portfolios ! hashtag : tapis_vide(2107748999) : 0 photos in 1 portfolios ! elapsed_time : group_photo_by_moyenne_exp 0.0009696483612060547 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 : 10072025 attention , prev_timestamp is 0 , we do nothing Unexpected type of data : ({'photo_id': 1371499552, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/7/10/d0988edc125fc231644d16146466cf4d.jpg', 'username': None, 'uploaded_at': 1752141833, 'text': 'image_10072025_06_44_44_8918.jpg', 'time': 1752129884.008918}, 'different') Unexpected type of data : ({'photo_id': 1371499536, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/7/10/b1a30025c5431749219c16570c0568f0.jpg', 'username': None, 'uploaded_at': 1752141833, 'text': 'image_10072025_06_44_54_10293.jpg', 'time': 1752129894.010293}, 'different') Unexpected type of data : ({'photo_id': 1371499533, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/7/10/9f9004dd1d2d2a18b27b81d9325065fc.jpg', 'username': None, 'uploaded_at': 1752141833, 'text': 'image_10072025_06_45_05_10194.jpg', 'time': 1752129905.010194}, 'different') Unexpected type of data : ({'photo_id': 1371499528, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/7/10/1098dd1f8bc471e974e109661bc08285.jpg', 'username': None, 'uploaded_at': 1752141833, 'text': 'image_10072025_06_45_15_10092.jpg', 'time': 1752129915.010092}, 'different') Unexpected type of data : ({'photo_id': 1371499523, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/7/10/5770c763c03721bf9a6e2711f999bc94.jpg', 'username': None, 'uploaded_at': 1752141833, 'text': 'image_10072025_06_45_25_10192.jpg', 'time': 1752129925.010192}, 'different') Unexpected type of data : ({'photo_id': 1371499521, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/7/10/3091b596818d960b06456f7d46bf5273.jpg', 'username': None, 'uploaded_at': 1752141833, 'text': 'image_10072025_06_45_35_10280.jpg', 'time': 1752129935.01028}, 'different') * BIG TIME 24278.998903989792 (0, 7, 0, 0, 0, 0, 0, 0, 0, 0.38007614, 0, 0, 0, 0, 0.00499994330406189, 0.0006, 0.0, 1.9, 0.010000046014785767, -0.0) on 1 1371496963 2025-07-10 06:45:44.008913 id_data : 12 Count Time bigger than 30s : 1 #Number Photos for regression : {'10072025': {493546845: {2107751013: 0, 2107751014: 0, 2107751015: 0, 2107751016: 0, 2107751017: 0}, 492741797: {2107751013: 0, 2107751014: 0, 2107751015: 0, 2107751016: 0, 2107751017: 0}, 616987804: {2107751013: 0, 2107751014: 0, 2107751015: 0, 2107751016: 0, 2107751017: 0}, 2107760237: {2107751013: 0, 2107751014: 0, 2107751015: 9.999900102615356, 2107751016: 31.00130295753479, 2107751017: 0}, 2107760238: {2107751013: 0, 2107751014: 0, 2107751015: 0, 2107751016: 0, 2107751017: 0}, 495916461: {2107751013: 0, 2107751014: 0, 2107751015: 0, 2107751016: 0, 2107751017: 0}, 560181804: {2107751013: 0, 2107751014: 0, 2107751015: 0, 2107751016: 0, 2107751017: 0}, 1284539308: {2107751013: 0, 2107751014: 0, 2107751015: 10.000046014785767, 2107751016: 0, 2107751017: 0}, 2107760239: {2107751013: 0, 2107751014: 0, 2107751015: 0, 2107751016: 0, 2107751017: 0}, 2107755846: {2107751013: 0, 2107751014: 0, 2107751015: 0, 2107751016: 0, 2107751017: 0}, 538914404: {2107751013: 0, 2107751014: 0, 2107751015: 0, 2107751016: 0, 2107751017: 0}, 2107748999: {2107751013: 0, 2107751014: 0, 2107751015: 39.99938702583313, 2107751016: 0, 2107751017: 0}}} 10072025|aluminium, 05102018_papier_non_papier_dense:0 10072025|aluminium, 05102018_papier_non_papier_peu_dense:0 10072025|aluminium, 05102018_papier_non_papier_presque_vide:0 10072025|aluminium, 05102018_papier_non_papier_tres_dense:0 10072025|aluminium, 05102018_papier_non_papier_tres_peu_dense:0 10072025|ela, 05102018_papier_non_papier_dense:0 10072025|ela, 05102018_papier_non_papier_peu_dense:0 10072025|ela, 05102018_papier_non_papier_presque_vide:0 10072025|ela, 05102018_papier_non_papier_tres_dense:0 10072025|ela, 05102018_papier_non_papier_tres_peu_dense:0 10072025|emr, 05102018_papier_non_papier_dense:0 10072025|emr, 05102018_papier_non_papier_peu_dense:0 10072025|emr, 05102018_papier_non_papier_presque_vide:0 10072025|emr, 05102018_papier_non_papier_tres_dense:0 10072025|emr, 05102018_papier_non_papier_tres_peu_dense:0 10072025|film_pedb, 05102018_papier_non_papier_dense:0 10072025|film_pedb, 05102018_papier_non_papier_peu_dense:0 10072025|film_pedb, 05102018_papier_non_papier_presque_vide:9.999900102615356 10072025|film_pedb, 05102018_papier_non_papier_tres_dense:31.00130295753479 10072025|film_pedb, 05102018_papier_non_papier_tres_peu_dense:0 10072025|flux_dev, 05102018_papier_non_papier_dense:0 10072025|flux_dev, 05102018_papier_non_papier_peu_dense:0 10072025|flux_dev, 05102018_papier_non_papier_presque_vide:0 10072025|flux_dev, 05102018_papier_non_papier_tres_dense:0 10072025|flux_dev, 05102018_papier_non_papier_tres_peu_dense:0 10072025|jrm, 05102018_papier_non_papier_dense:0 10072025|jrm, 05102018_papier_non_papier_peu_dense:0 10072025|jrm, 05102018_papier_non_papier_presque_vide:0 10072025|jrm, 05102018_papier_non_papier_tres_dense:0 10072025|jrm, 05102018_papier_non_papier_tres_peu_dense:0 10072025|pcm, 05102018_papier_non_papier_dense:0 10072025|pcm, 05102018_papier_non_papier_peu_dense:0 10072025|pcm, 05102018_papier_non_papier_presque_vide:0 10072025|pcm, 05102018_papier_non_papier_tres_dense:0 10072025|pcm, 05102018_papier_non_papier_tres_peu_dense:0 10072025|pcnc, 05102018_papier_non_papier_dense:0 10072025|pcnc, 05102018_papier_non_papier_peu_dense:0 10072025|pcnc, 05102018_papier_non_papier_presque_vide:10.000046014785767 10072025|pcnc, 05102018_papier_non_papier_tres_dense:0 10072025|pcnc, 05102018_papier_non_papier_tres_peu_dense:0 10072025|pehd_pp, 05102018_papier_non_papier_dense:0 10072025|pehd_pp, 05102018_papier_non_papier_peu_dense:0 10072025|pehd_pp, 05102018_papier_non_papier_presque_vide:0 10072025|pehd_pp, 05102018_papier_non_papier_tres_dense:0 10072025|pehd_pp, 05102018_papier_non_papier_tres_peu_dense:0 10072025|pet_clair, 05102018_papier_non_papier_dense:0 10072025|pet_clair, 05102018_papier_non_papier_peu_dense:0 10072025|pet_clair, 05102018_papier_non_papier_presque_vide:0 10072025|pet_clair, 05102018_papier_non_papier_tres_dense:0 10072025|pet_clair, 05102018_papier_non_papier_tres_peu_dense:0 10072025|refus, 05102018_papier_non_papier_dense:0 10072025|refus, 05102018_papier_non_papier_peu_dense:0 10072025|refus, 05102018_papier_non_papier_presque_vide:0 10072025|refus, 05102018_papier_non_papier_tres_dense:0 10072025|refus, 05102018_papier_non_papier_tres_peu_dense:0 10072025|tapis_vide, 05102018_papier_non_papier_dense:0 10072025|tapis_vide, 05102018_papier_non_papier_peu_dense:0 10072025|tapis_vide, 05102018_papier_non_papier_presque_vide:39.99938702583313 10072025|tapis_vide, 05102018_papier_non_papier_tres_dense:0 10072025|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 ! 10072025_time_diff_distrib Number amount portfolio for this type of dechet : aluminium 0 Number amount portfolio for this type of dechet : ela 0 Number amount portfolio for this type of dechet : emr 0 Number amount portfolio for this type of dechet : film_pedb 4 https://marlene.fotonower.com/api/v1/secured/portfolio/new?name=10072025_film_pedb_05102018_papier_non_papier_presque_vide&access_token=3e00c8f3e5af383c48e3c68940ba6fe7 Created to study and clean : 24795629 with name like 10072025_film_pedb_05102018_papier_non_papier_presque_vide https://marlene.fotonower.com/api/v1/secured/portfolio/new?name=10072025_film_pedb_05102018_papier_non_papier_tres_dense&access_token=3e00c8f3e5af383c48e3c68940ba6fe7 Created to study and clean : 24795630 with name like 10072025_film_pedb_05102018_papier_non_papier_tres_dense Number amount portfolio for this type of dechet : flux_dev 0 Number amount portfolio for this type of dechet : jrm 0 Number amount portfolio for this type of dechet : pcm 0 Number amount portfolio for this type of dechet : pcnc 1 https://marlene.fotonower.com/api/v1/secured/portfolio/new?name=10072025_pcnc_05102018_papier_non_papier_presque_vide&access_token=3e00c8f3e5af383c48e3c68940ba6fe7 Created to study and clean : 24795637 with name like 10072025_pcnc_05102018_papier_non_papier_presque_vide Number amount portfolio for this type of dechet : pehd_pp 0 Number amount portfolio for this type of dechet : pet_clair 0 Number amount portfolio for this type of dechet : refus 0 Number amount portfolio for this type of dechet : tapis_vide 4 https://marlene.fotonower.com/api/v1/secured/portfolio/new?name=10072025_tapis_vide_05102018_papier_non_papier_presque_vide&access_token=3e00c8f3e5af383c48e3c68940ba6fe7 Created to study and clean : 24795650 with name like 10072025_tapis_vide_05102018_papier_non_papier_presque_vide NUMBER BATCH : 3 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 ! result_one_balle_Type_film_pedb:{'day': '10072025', 'map_nb_amount': {0: 0, 1: 2, 2: 3, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 9.999900102615356, 2: 31.00130295753479, 3: 0, 4: 0}, 'duration': 41.00120306015015, 'nb_balles_papier': 0.04200120306015014, 'begin_time_port': 'image_10072025_06_45_44_008913m0.jpg 0.001 for time 1, id_amount 2 this amount prod time diff : 0.001'} Production hashtag (incorrect ponderation at 20-10-18) : 0.04200120306015014 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 have rejected 1 photos because of the batch_size condition ! NUMBER BATCH list_of_portfolios_to_create : 1 list_same_port_ids : [24795470] find same portfolio which already exist 24795470 , we will use it # 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`=24795470 AND mptpi.`type`=4461 To do elapsed_time : count_nb_balles_and_create_portfolio 19.759526252746582 # DISPLAY ALL COLLECTED DATA : {'10072025': {'nb_upload': 18, 'nb_taggue_class': 12, 'nb_taggue_densite': 12, 'nb_descriptors': 7, 'number_port': 3, 'count_photo_in_port': 6, 'nb_port_per_class': {'aluminium': {'nb_photos': 0, 'nb_portfolios': 0}, 'ela': {'nb_photos': 0, 'nb_portfolios': 0}, 'emr': {'nb_photos': 0, 'nb_portfolios': 0}, 'film_pedb': {'nb_photos': 5, 'nb_portfolios': 1}, 'flux_dev': {'nb_photos': 0, 'nb_portfolios': 0}, 'jrm': {'nb_photos': 0, 'nb_portfolios': 0}, 'pcm': {'nb_photos': 0, 'nb_portfolios': 0}, 'pcnc': {'nb_photos': 1, 'nb_portfolios': 1}, 'pehd_pp': {'nb_photos': 0, 'nb_portfolios': 0}, 'pet_clair': {'nb_photos': 0, 'nb_portfolios': 0}, 'refus': {'nb_photos': 0, 'nb_portfolios': 0}, 'tapis_vide': {'nb_photos': 0, 'nb_portfolios': 1}}}} Inside saveOutput : final : True verbose : 0 saveOutput not yet implemented for datou_step.type : split_time_score we use saveGeneral [1371499552, 1371499536, 1371499533, 1371499528, 1371499523, 1371499521, 1371498599, 1371498514, 1371498431, 1371498350, 1371498268, 1371498206, 1371496963, 1371496961, 1371496952, 1371496894, 1371496837, 1371496779] Looping around the photos to save general results len do output : 1 /24795299Didn'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, '3265343') ('4323', '24795299', '1371499552', None, None, None, None, None, '3265343') ('4323', None, None, None, None, None, None, None, '3265343') ('4323', '24795299', '1371499536', None, None, None, None, None, '3265343') ('4323', None, None, None, None, None, None, None, '3265343') ('4323', '24795299', '1371499533', None, None, None, None, None, '3265343') ('4323', None, None, None, None, None, None, None, '3265343') ('4323', '24795299', '1371499528', None, None, None, None, None, '3265343') ('4323', None, None, None, None, None, None, None, '3265343') ('4323', '24795299', '1371499523', None, None, None, None, None, '3265343') ('4323', None, None, None, None, None, None, None, '3265343') ('4323', '24795299', '1371499521', None, None, None, None, None, '3265343') ('4323', None, None, None, None, None, None, None, '3265343') ('4323', '24795299', '1371498599', None, None, None, None, None, '3265343') ('4323', None, None, None, None, None, None, None, '3265343') ('4323', '24795299', '1371498514', None, None, None, None, None, '3265343') ('4323', None, None, None, None, None, None, None, '3265343') ('4323', '24795299', '1371498431', None, None, None, None, None, '3265343') ('4323', None, None, None, None, None, None, None, '3265343') ('4323', '24795299', '1371498350', None, None, None, None, None, '3265343') ('4323', None, None, None, None, None, None, None, '3265343') ('4323', '24795299', '1371498268', None, None, None, None, None, '3265343') ('4323', None, None, None, None, None, None, None, '3265343') ('4323', '24795299', '1371498206', None, None, None, None, None, '3265343') ('4323', None, None, None, None, None, None, None, '3265343') ('4323', '24795299', '1371496963', None, None, None, None, None, '3265343') ('4323', None, None, None, None, None, None, None, '3265343') ('4323', '24795299', '1371496961', None, None, None, None, None, '3265343') ('4323', None, None, None, None, None, None, None, '3265343') ('4323', '24795299', '1371496952', None, None, None, None, None, '3265343') ('4323', None, None, None, None, None, None, None, '3265343') ('4323', '24795299', '1371496894', None, None, None, None, None, '3265343') ('4323', None, None, None, None, None, None, None, '3265343') ('4323', '24795299', '1371496837', None, None, None, None, None, '3265343') ('4323', None, None, None, None, None, None, None, '3265343') ('4323', '24795299', '1371496779', None, None, None, None, None, '3265343') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 19 time used for this insertion : 0.046501874923706055 save_final save missing photos in datou_result : time spend for datou_step_exec : 20.57305669784546 time spend to save output : 0.0467989444732666 total time spend for step 1 : 20.619855642318726 caffe_path_current : About to save ! 2 After save, about to update current ! ret : 1 len(input) + len(total_photo_id_missing) : 1 set_done_treatment 1.07user 0.76system 0:22.63elapsed 8%CPU (0avgtext+0avgdata 103096maxresident)k 32inputs+136outputs (4major+48909minor)pagefaults 0swaps