python /home/admin/mtr/script_for_cron.py -j datou_current3 -m 20 -a ' -a 4189' -s datou_current_4189 -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 : 7094 load datou : 4189 # 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: {} Date 2026-04-22 14:00:30.320121 Current got : datou_id : 4189, datou_cur_ids : ['4376556'] with mtr_portfolio_ids : ['31011304'] and first list_photo_ids : [] new path : /proc/7094/ 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 : 0.026639938354492188 About to test input to load Calling datou_exec Inside datou_exec : verbose : 0 number of steps : 1 step1:split_time_score Wed Apr 22 14:00:30 2026 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': 3379, 'mtr_user_id': 31, 'name': 'learn_classif_flux_maj_generique_effnet_v2_s_02062022', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'aluminium,ela,film_pedb,flux_dev,jrm,pcm,pcnc,pehd_pp,pet_clair,refus,tapis_vide', 'svm_portfolios_learning': '5515864,5515840,5515844,5515850,6244400,6237996,6237998,5515847,5515841,5515868,5515866', 'photo_hashtag_type': 4374, 'photo_desc_type': 5680, 'type_classification': 'tf_classification2', 'hashtag_id_list': '493546845,492741797,2107760237,2107760238,495916461,560181804,1284539308,2107760239,2107755846,538914404,2107748999'}] 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'}] (('10', 152),) ERROR counted https://github.com/fotonower/Velours/issues/663#issuecomment-421136223 {1: 18} 22042026 31011304 Nombre de photos uploadées : 152 / 23040 (0%) 22042026 31011304 Nombre de photos taguées (types de déchets): 18 / 152 (11%) 22042026 31011304 Nombre de photos taguées (volume) : 18 / 152 (11%) elapsed_time : load_data_split_time_score 2.86102294921875e-06 elapsed_time : order_list_meta_photo_and_scores 2.2172927856445312e-05 LLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLL?????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????? elapsed_time : fill_and_build_computed_from_old_data 0.009083986282348633 Catched exception ! Connect or reconnect ! Catched exception ! Connect or reconnect ! elapsed_time : insert_dashboard_record_day_entry 0.28790736198425293 LLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLL Creating list_photo_by_hashtags Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None elapsed_time : list_photo_by_hashtags 0.017130136489868164 Creating list_photo_total elapsed_time : select_descriptors 1.4390654563903809 22042026 31011304 Nombre de photos avec descriptors (type 5680) : 18 / 152 (11%) ERROR : Hum hum, what can we do for different size of descriptors (ignore the difference ) : 0 vs 1280 photo_id : 1416210297 photo_id_prec : 0 0:00:00|ON:ERROR : Hum hum, what can we do for different size of descriptors (ignore the difference ) : 1280 vs 0 photo_id : 1416210333 photo_id_prec : 1416210321 LMissing descriptors for photos 1416210333 and 1416210335 LMissing descriptors for photos 1416210335 and 1416210337 LMissing descriptors for photos 1416210337 and 1416210338 LMissing descriptors for photos 1416210338 and 1416210339 LMissing descriptors for photos 1416210339 and 1416210340 LMissing descriptors for photos 1416210340 and 1416211056 LMissing descriptors for photos 1416211056 and 1416211057 LMissing descriptors for photos 1416211057 and 1416211058 LMissing descriptors for photos 1416211058 and 1416211059 LMissing descriptors for photos 1416211059 and 1416211061 LMissing descriptors for photos 1416211061 and 1416211062 LMissing descriptors for photos 1416211062 and 1416211327 LMissing descriptors for photos 1416211327 and 1416211328 LMissing descriptors for photos 1416211328 and 1416211329 LMissing descriptors for photos 1416211329 and 1416211330 LMissing descriptors for photos 1416211330 and 1416211331 LMissing descriptors for photos 1416211331 and 1416211332 LMissing descriptors for photos 1416211332 and 1416212116 LMissing descriptors for photos 1416212116 and 1416212118 LMissing descriptors for photos 1416212118 and 1416212119 LMissing descriptors for photos 1416212119 and 1416212120 LMissing descriptors for photos 1416212120 and 1416212122 LMissing descriptors for photos 1416212122 and 1416212124 LMissing descriptors for photos 1416212124 and 1416212132 LMissing descriptors for photos 1416212132 and 1416212133 LMissing descriptors for photos 1416212133 and 1416212134 LMissing descriptors for photos 1416212134 and 1416212136 LMissing descriptors for photos 1416212136 and 1416212137 LMissing descriptors for photos 1416212137 and 1416212138 LMissing descriptors for photos 1416212138 and 1416212147 LMissing descriptors for photos 1416212147 and 1416212148 LMissing descriptors for photos 1416212148 and 1416212150 LMissing descriptors for photos 1416212150 and 1416212153 LMissing descriptors for photos 1416212153 and 1416212160 LMissing descriptors for photos 1416212160 and 1416212162 LMissing descriptors for photos 1416212162 and 1416212163 LMissing descriptors for photos 1416212163 and 1416212164 LMissing descriptors for photos 1416212164 and 1416212165 LMissing descriptors for photos 1416212165 and 1416212166 LMissing descriptors for photos 1416212166 and 1416212176 LMissing descriptors for photos 1416212176 and 1416212177 LMissing descriptors for photos 1416212177 and 1416212178 LMissing descriptors for photos 1416212178 and 1416212179 LMissing descriptors for photos 1416212179 and 1416212181 LMissing descriptors for photos 1416212181 and 1416212183 LMissing descriptors for photos 1416212183 and 1416212195 LMissing descriptors for photos 1416212195 and 1416212196 LMissing descriptors for photos 1416212196 and 1416212197 LMissing descriptors for photos 1416212197 and 1416212198 LMissing descriptors for photos 1416212198 and 1416212199 LMissing descriptors for photos 1416212199 and 1416212200 LMissing descriptors for photos 1416212200 and 1416212758 LMissing descriptors for photos 1416212758 and 1416212759 LMissing descriptors for photos 1416212759 and 1416212760 LMissing descriptors for photos 1416212760 and 1416212761 LMissing descriptors for photos 1416212761 and 1416212762 LMissing descriptors for photos 1416212762 and 1416212764 LMissing descriptors for photos 1416212764 and 1416213240 LMissing descriptors for photos 1416213240 and 1416213241 LMissing descriptors for photos 1416213241 and 1416213242 LMissing descriptors for photos 1416213242 and 1416213243 LMissing descriptors for photos 1416213243 and 1416213244 LMissing descriptors for photos 1416213244 and 1416213246 LMissing descriptors for photos 1416213246 and 1416213256 LMissing descriptors for photos 1416213256 and 1416213257 LMissing descriptors for photos 1416213257 and 1416213258 LMissing descriptors for photos 1416213258 and 1416213260 LMissing descriptors for photos 1416213260 and 1416213261 LMissing descriptors for photos 1416213261 and 1416213262 LMissing descriptors for photos 1416213262 and 1416213265 LMissing descriptors for photos 1416213265 and 1416213266 LERROR : Hum hum, what can we do for different size of descriptors (ignore the difference ) : 0 vs 1280 photo_id : 1416213278 photo_id_prec : 1416213266 ERROR : Hum hum, what can we do for different size of descriptors (ignore the difference ) : 1280 vs 0 photo_id : 1416213309 photo_id_prec : 1416213284 LMissing descriptors for photos 1416213309 and 1416213310 LMissing descriptors for photos 1416213310 and 1416213311 LMissing descriptors for photos 1416213311 and 1416213312 LMissing descriptors for photos 1416213312 and 1416213314 LMissing descriptors for photos 1416213314 and 1416213316 LMissing descriptors for photos 1416213316 and 1416214237 LMissing descriptors for photos 1416214237 and 1416214238 LMissing descriptors for photos 1416214238 and 1416214239 LMissing descriptors for photos 1416214239 and 1416214240 LMissing descriptors for photos 1416214240 and 1416214241 LMissing descriptors for photos 1416214241 and 1416214242 LMissing descriptors for photos 1416214242 and 1416215098 LMissing descriptors for photos 1416215098 and 1416215099 LMissing descriptors for photos 1416215099 and 1416215100 LMissing descriptors for photos 1416215100 and 1416215101 LMissing descriptors for photos 1416215101 and 1416215102 LMissing descriptors for photos 1416215102 and 1416215103 LMissing descriptors for photos 1416215103 and 1416216332 LMissing descriptors for photos 1416216332 and 1416216333 LMissing descriptors for photos 1416216333 and 1416216334 LMissing descriptors for photos 1416216334 and 1416216335 LMissing descriptors for photos 1416216335 and 1416216336 LMissing descriptors for photos 1416216336 and 1416216337 LMissing descriptors for photos 1416216337 and 1416216342 LMissing descriptors for photos 1416216342 and 1416216343 LMissing descriptors for photos 1416216343 and 1416216357 LMissing descriptors for photos 1416216357 and 1416216358 LMissing descriptors for photos 1416216358 and 1416216359 LMissing descriptors for photos 1416216359 and 1416216360 LMissing descriptors for photos 1416216360 and 1416216361 LMissing descriptors for photos 1416216361 and 1416216362 LMissing descriptors for photos 1416216362 and 1416216391 LMissing descriptors for photos 1416216391 and 1416216399 LMissing descriptors for photos 1416216399 and 1416216401 LMissing descriptors for photos 1416216401 and 1416216403 LMissing descriptors for photos 1416216403 and 1416216416 LMissing descriptors for photos 1416216416 and 1416216418 LMissing descriptors for photos 1416216418 and 1416216430 LMissing descriptors for photos 1416216430 and 1416216431 LMissing descriptors for photos 1416216431 and 1416216432 LMissing descriptors for photos 1416216432 and 1416216433 LMissing descriptors for photos 1416216433 and 1416216434 LMissing descriptors for photos 1416216434 and 1416216435 LMissing descriptors for photos 1416216435 and 1416218510 LMissing descriptors for photos 1416218510 and 1416218511 LMissing descriptors for photos 1416218511 and 1416218512 LMissing descriptors for photos 1416218512 and 1416218513 LMissing descriptors for photos 1416218513 and 1416218514 LMissing descriptors for photos 1416218514 and 1416218516 LMissing descriptors for photos 1416218516 and 1416218607 LMissing descriptors for photos 1416218607 and 1416218608 LMissing descriptors for photos 1416218608 and 1416218609 LMissing descriptors for photos 1416218609 and 1416218610 LMissing descriptors for photos 1416218610 and 1416218611 LMissing descriptors for photos 1416218611 and 1416218612 LMissing descriptors for photos 1416218612 and 1416218949 LMissing descriptors for photos 1416218949 and 1416218950 LMissing descriptors for photos 1416218950 and 1416218951 LMissing descriptors for photos 1416218951 and 1416218952 LMissing descriptors for photos 1416218952 and 1416218953 LMissing descriptors for photos 1416218953 and 1416218954 L 22042026 Removing 0 photos because of the 'same image' condition Total on : 0 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 : 152 time used for this insertion : 0.0399172306060791 photos_removed : len 0 elapsed_time : remove_photo_duplicate 0.07844281196594238 To do, maybe not at the correct place ! .............L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.......L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.Lforce hashtag to JRM elapsed_time : CREATE_PORT_BATCH_BY_HOUR 0.014730453491210938 NUMBER BATCH : 2 list_ponderation used : [1e-05, 1e-05, 1e-05, 1e-05, 1e-05] , list_hashtag_class_create_as_list : ['jrm'] LLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info Lresult_one_balle_Type_JRM:{'day': '22042026', 'map_nb_amount': {0: 4, 1: 13, 2: 1, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 840.4540770053864, 'nb_balles_papier': 0.00018, 'begin_time_port': 'image_22042026_10_00_02_479757m0.jpg 1e-05 for time 1, id_amount 2 this amount prod time diff : 1e-05'} Production hashtag (incorrect ponderation at 20-10-18) : 0.00018 LLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLWe filter photos on hashtag condition ! We have rejected 0 photos because of the batch_size condition ! NUMBER BATCH list_of_portfolios_to_create : 1 list_same_port_ids : [31011943] find same portfolio which already exist 31011943 , we will use it Qualite : 0.14680248497983595 # 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 12489 mask_detect is not consistent : 3 used against 2 in the step definition ! WARNING : number of outputs for step 12499 brightness is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 12500 blur_detection is not consistent : 2 used against 1 in the step definition ! WARNING : number of inputs for step 12492 crop_condition is not consistent : 3 used against 2 in the step definition ! Step 12492 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! WARNING : number of outputs for step 12493 merge_mask_thcl_custom is not consistent : 4 used against 2 in the step definition ! WARNING : number of inputs for step 12494 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 12494 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 12502 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 12502 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of inputs for step 12496 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 12496 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 12495 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 12495 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 12489 doesn't seem to be define in the database( WARNING : type of input 2 of step 12492 doesn't seem to be define in the database( WARNING : output 1 of step 12489 have datatype=2 whereas input 1 of step 12493 have datatype=7 WARNING : type of output 2 of step 12493 doesn't seem to be define in the database( WARNING : type of input 1 of step 12494 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 3 of step 12493 doesn't seem to be define in the database( WARNING : type of input 1 of step 12496 doesn't seem to be define in the database( WARNING : type of output 1 of step 12496 doesn't seem to be define in the database( WARNING : type of input 3 of step 12495 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 2 of step 12489 doesn't seem to be define in the database( WARNING : type of input 1 of step 12500 doesn't seem to be define in the database( WARNING : type of output 2 of step 12489 doesn't seem to be define in the database( WARNING : type of input 1 of step 12499 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 12496 have datatype=10 whereas input 3 of step 12498 have datatype=6 WARNING : type of input 5 of step 12498 doesn't seem to be define in the database( WARNING : output 0 of step 12501 have datatype=11 whereas input 5 of step 12498 have datatype=None WARNING : output 0 of step 12496 have datatype=10 whereas input 0 of step 12501 have datatype=18 WARNING : type of input 2 of step 12502 doesn't seem to be define in the database( WARNING : output 1 of step 12494 have datatype=7 whereas input 2 of step 12502 have datatype=None WARNING : type of output 3 of step 12502 doesn't seem to be define in the database( WARNING : type of input 2 of step 12496 doesn't seem to be define in the database( WARNING : type of output 1 of step 12499 doesn't seem to be define in the database( WARNING : type of input 3 of step 12492 doesn't seem to be define in the database( WARNING : type of output 1 of step 12500 doesn't seem to be define in the database( WARNING : type of input 3 of step 12492 doesn't seem to be define in the database( WARNING : output 0 of step 12493 have datatype=1 whereas input 0 of step 12494 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`=31011943 AND mptpi.`type`=3726 To do elapsed_time : count_nb_balles_and_create_portfolio 0.15803074836730957 # DISPLAY ALL COLLECTED DATA : {'22042026': {'nb_upload': 152, 'nb_taggue_class': 18, 'nb_taggue_densite': 18, 'nb_descriptors': 18}} Inside saveOutput : final : True verbose : 0 saveOutput not yet implemented for datou_step.type : split_time_score we use saveGeneral [1416218954, 1416218953, 1416218952, 1416218951, 1416218950, 1416218949, 1416218612, 1416218611, 1416218610, 1416218609, 1416218608, 1416218607, 1416218516, 1416218514, 1416218513, 1416218512, 1416218511, 1416218510, 1416216435, 1416216434, 1416216433, 1416216432, 1416216431, 1416216430, 1416216418, 1416216416, 1416216403, 1416216401, 1416216399, 1416216391, 1416216362, 1416216361, 1416216360, 1416216359, 1416216358, 1416216357, 1416216343, 1416216342, 1416216337, 1416216336, 1416216335, 1416216334, 1416216333, 1416216332, 1416215103, 1416215102, 1416215101, 1416215100, 1416215099, 1416215098, 1416214242, 1416214241, 1416214240, 1416214239, 1416214238, 1416214237, 1416213316, 1416213314, 1416213312, 1416213311, 1416213310, 1416213309, 1416213284, 1416213283, 1416213282, 1416213281, 1416213280, 1416213278, 1416213266, 1416213265, 1416213262, 1416213261, 1416213260, 1416213258, 1416213257, 1416213256, 1416213246, 1416213244, 1416213243, 1416213242, 1416213241, 1416213240, 1416212764, 1416212762, 1416212761, 1416212760, 1416212759, 1416212758, 1416212200, 1416212199, 1416212198, 1416212197, 1416212196, 1416212195, 1416212183, 1416212181, 1416212179, 1416212178, 1416212177, 1416212176] Looping around the photos to save general results len do output : 1 /31011304Didn'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 ('4189', None, None, None, None, None, None, None, '4376556') ('4189', '31011304', '1416218954', None, None, None, None, None, '4376556') ('4189', None, None, None, None, None, None, None, '4376556') ('4189', '31011304', '1416218953', None, None, None, None, None, '4376556') ('4189', None, None, None, None, None, None, None, '4376556') ('4189', '31011304', '1416218952', None, None, None, None, None, '4376556') ('4189', None, None, None, None, None, None, None, '4376556') ('4189', '31011304', '1416218951', None, None, None, None, None, '4376556') ('4189', None, None, None, None, None, None, None, '4376556') ('4189', '31011304', '1416218950', None, None, None, None, None, '4376556') ('4189', None, None, None, None, None, None, None, '4376556') ('4189', '31011304', '1416218949', None, None, None, None, None, '4376556') ('4189', None, None, None, None, None, None, None, '4376556') ('4189', '31011304', '1416218612', None, None, None, None, None, '4376556') ('4189', None, None, None, None, None, None, None, '4376556') ('4189', '31011304', '1416218611', None, None, None, None, None, '4376556') ('4189', None, None, None, None, None, None, None, '4376556') ('4189', '31011304', '1416218610', None, None, None, None, None, '4376556') ('4189', None, None, None, None, None, None, None, '4376556') ('4189', '31011304', '1416218609', None, None, None, None, None, '4376556') ('4189', None, None, None, None, None, None, None, '4376556') ('4189', '31011304', '1416218608', None, None, None, None, None, '4376556') ('4189', None, None, None, None, None, None, None, '4376556') ('4189', '31011304', '1416218607', None, None, None, None, None, '4376556') ('4189', None, None, None, None, None, None, None, '4376556') ('4189', '31011304', '1416218516', None, None, None, None, None, '4376556') ('4189', None, None, None, None, None, None, None, '4376556') ('4189', '31011304', '1416218514', None, None, None, None, None, '4376556') ('4189', None, None, None, None, None, None, None, '4376556') ('4189', '31011304', '1416218513', None, None, None, None, None, '4376556') ('4189', None, None, None, None, None, None, None, '4376556') ('4189', '31011304', '1416218512', None, None, None, None, None, '4376556') ('4189', None, None, None, None, None, None, None, '4376556') ('4189', '31011304', '1416218511', None, None, None, None, None, '4376556') ('4189', None, None, None, None, None, None, None, '4376556') ('4189', '31011304', '1416218510', None, None, None, None, None, '4376556') ('4189', None, None, None, None, None, None, None, '4376556') ('4189', '31011304', '1416216435', None, None, None, None, None, '4376556') ('4189', None, None, None, None, None, None, None, '4376556') ('4189', '31011304', '1416216434', None, None, None, None, None, '4376556') ('4189', None, None, None, None, None, None, None, '4376556') ('4189', '31011304', '1416216433', None, None, None, None, None, '4376556') ('4189', None, None, None, None, None, None, None, '4376556') ('4189', '31011304', '1416216432', None, None, None, None, None, '4376556') ('4189', None, None, None, None, None, None, None, '4376556') ('4189', '31011304', '1416216431', None, None, None, None, None, '4376556') ('4189', None, None, None, None, None, None, None, '4376556') ('4189', '31011304', '1416216430', None, None, None, None, None, '4376556') ('4189', None, None, None, None, None, None, None, '4376556') ('4189', '31011304', '1416216418', None, None, None, None, None, '4376556') ('4189', None, None, None, None, None, None, None, '4376556') ('4189', '31011304', '1416216416', None, None, None, None, None, '4376556') ('4189', None, None, None, None, None, None, None, '4376556') ('4189', '31011304', '1416216403', None, None, None, None, None, '4376556') ('4189', None, None, None, None, None, None, None, '4376556') ('4189', '31011304', '1416216401', None, None, None, None, None, '4376556') ('4189', None, None, None, None, None, None, None, '4376556') ('4189', '31011304', '1416216399', None, None, None, None, None, '4376556') ('4189', None, None, None, None, None, None, None, '4376556') ('4189', '31011304', '1416216391', None, None, None, None, None, '4376556') ('4189', None, None, None, None, None, None, None, '4376556') ('4189', '31011304', '1416216362', None, None, None, None, None, '4376556') ('4189', None, None, None, None, None, None, None, '4376556') ('4189', '31011304', '1416216361', None, None, None, None, None, '4376556') ('4189', None, None, None, None, None, None, None, '4376556') ('4189', '31011304', '1416216360', None, None, None, None, None, '4376556') ('4189', None, None, None, None, None, None, None, '4376556') ('4189', '31011304', '1416216359', None, None, None, None, None, '4376556') ('4189', None, None, None, None, None, None, None, '4376556') ('4189', '31011304', '1416216358', None, None, None, None, None, '4376556') ('4189', None, None, None, None, None, None, None, '4376556') ('4189', '31011304', '1416216357', None, None, None, None, None, '4376556') ('4189', None, None, None, None, None, None, None, '4376556') ('4189', '31011304', '1416216343', None, None, None, None, None, '4376556') ('4189', None, None, None, None, None, None, None, '4376556') ('4189', '31011304', '1416216342', None, None, None, None, None, '4376556') ('4189', None, None, None, None, None, None, None, '4376556') ('4189', '31011304', '1416216337', None, None, None, None, None, '4376556') ('4189', None, None, None, None, None, None, None, '4376556') ('4189', '31011304', '1416216336', None, None, None, None, None, '4376556') ('4189', None, None, None, None, None, None, None, '4376556') ('4189', '31011304', '1416216335', None, None, None, None, None, '4376556') ('4189', None, None, None, None, None, None, None, '4376556') ('4189', '31011304', '1416216334', None, None, None, None, None, '4376556') ('4189', None, None, None, None, None, None, None, '4376556') ('4189', '31011304', '1416216333', None, None, None, None, None, '4376556') ('4189', None, None, None, None, None, None, None, '4376556') ('4189', '31011304', '1416216332', None, None, None, None, None, '4376556') ('4189', None, None, None, None, None, None, None, '4376556') ('4189', '31011304', '1416215103', None, None, None, None, None, '4376556') ('4189', None, None, None, None, None, None, None, '4376556') ('4189', '31011304', '1416215102', None, None, None, None, None, '4376556') ('4189', None, None, None, None, None, None, None, '4376556') ('4189', '31011304', '1416215101', None, None, None, None, None, '4376556') ('4189', None, None, None, None, None, None, None, '4376556') ('4189', '31011304', '1416215100', None, None, None, None, None, '4376556') ('4189', None, None, None, None, None, None, None, '4376556') ('4189', '31011304', '1416215099', None, None, None, None, None, '4376556') ('4189', None, None, None, None, None, None, None, '4376556') ('4189', '31011304', '1416215098', None, None, None, None, None, '4376556') ('4189', None, None, None, None, None, None, None, '4376556') ('4189', '31011304', '1416214242', None, None, None, None, None, '4376556') ('4189', None, None, None, None, None, None, None, '4376556') ('4189', '31011304', '1416214241', None, None, None, None, None, '4376556') ('4189', None, None, None, None, None, None, None, '4376556') ('4189', '31011304', '1416214240', None, None, None, None, None, '4376556') ('4189', None, None, None, None, None, None, None, '4376556') ('4189', '31011304', '1416214239', None, None, None, None, None, '4376556') ('4189', None, None, None, None, None, None, None, '4376556') ('4189', '31011304', '1416214238', None, None, None, None, None, '4376556') ('4189', None, None, None, None, None, None, None, '4376556') ('4189', '31011304', '1416214237', None, None, None, None, None, '4376556') ('4189', None, None, None, None, None, None, None, '4376556') ('4189', '31011304', '1416213316', None, None, None, None, None, '4376556') ('4189', None, None, None, None, None, None, None, '4376556') ('4189', '31011304', '1416213314', None, None, None, None, None, '4376556') ('4189', None, None, None, None, None, None, None, '4376556') ('4189', '31011304', '1416213312', None, None, None, None, None, '4376556') ('4189', None, None, None, None, None, None, None, '4376556') ('4189', '31011304', '1416213311', None, None, None, None, None, '4376556') ('4189', None, None, None, None, None, None, None, '4376556') ('4189', '31011304', '1416213310', None, None, None, None, None, '4376556') ('4189', None, None, None, None, None, None, None, '4376556') ('4189', '31011304', '1416213309', None, None, None, None, None, '4376556') ('4189', None, None, None, None, None, None, None, '4376556') ('4189', '31011304', '1416213284', None, None, None, None, None, '4376556') ('4189', None, None, None, None, None, None, None, '4376556') ('4189', '31011304', '1416213283', None, None, None, None, None, '4376556') ('4189', None, None, None, None, None, None, None, '4376556') ('4189', '31011304', '1416213282', None, None, None, None, None, '4376556') ('4189', None, None, None, None, None, None, None, '4376556') ('4189', '31011304', '1416213281', None, None, None, None, None, '4376556') ('4189', None, None, None, None, None, None, None, '4376556') ('4189', '31011304', '1416213280', None, None, None, None, None, '4376556') ('4189', None, None, None, None, None, None, None, '4376556') ('4189', '31011304', '1416213278', None, None, None, None, None, '4376556') ('4189', None, None, None, None, None, None, None, '4376556') ('4189', '31011304', '1416213266', None, None, None, None, None, '4376556') ('4189', None, None, None, None, None, None, None, '4376556') ('4189', '31011304', '1416213265', None, None, None, None, None, '4376556') ('4189', None, None, None, None, None, None, None, '4376556') ('4189', '31011304', '1416213262', None, None, None, None, None, '4376556') ('4189', None, None, None, None, None, None, None, '4376556') ('4189', '31011304', '1416213261', None, None, None, None, None, '4376556') ('4189', None, None, None, None, None, None, None, '4376556') ('4189', '31011304', '1416213260', None, None, None, None, None, '4376556') ('4189', None, None, None, None, None, None, None, '4376556') ('4189', '31011304', '1416213258', None, None, None, None, None, '4376556') ('4189', None, None, None, None, None, None, None, '4376556') ('4189', '31011304', '1416213257', None, None, None, None, None, '4376556') ('4189', None, None, None, None, None, None, None, '4376556') ('4189', '31011304', '1416213256', None, None, None, None, None, '4376556') ('4189', None, None, None, None, None, None, None, '4376556') ('4189', '31011304', '1416213246', None, None, None, None, None, '4376556') ('4189', None, None, None, None, None, None, None, '4376556') ('4189', '31011304', '1416213244', None, None, None, None, None, '4376556') ('4189', None, None, None, None, None, None, None, '4376556') ('4189', '31011304', '1416213243', None, None, None, None, None, '4376556') ('4189', None, None, None, None, None, None, None, '4376556') ('4189', '31011304', '1416213242', None, None, None, None, None, '4376556') ('4189', None, None, None, None, None, None, None, '4376556') ('4189', '31011304', '1416213241', None, None, None, None, None, '4376556') ('4189', None, None, None, None, None, None, None, '4376556') ('4189', '31011304', '1416213240', None, None, None, None, None, '4376556') ('4189', None, None, None, None, None, None, None, '4376556') ('4189', '31011304', '1416212764', None, None, None, None, None, '4376556') ('4189', None, None, None, None, None, None, None, '4376556') ('4189', '31011304', '1416212762', None, None, None, None, None, '4376556') ('4189', None, None, None, None, None, None, None, '4376556') ('4189', '31011304', '1416212761', None, None, None, None, None, '4376556') ('4189', None, None, None, None, None, None, None, '4376556') ('4189', '31011304', '1416212760', None, None, None, None, None, '4376556') ('4189', None, None, None, None, None, None, None, '4376556') ('4189', '31011304', '1416212759', None, None, None, None, None, '4376556') ('4189', None, None, None, None, None, None, None, '4376556') ('4189', '31011304', '1416212758', None, None, None, None, None, '4376556') ('4189', None, None, None, None, None, None, None, '4376556') ('4189', '31011304', '1416212200', None, None, None, None, None, '4376556') ('4189', None, None, None, None, None, None, None, '4376556') ('4189', '31011304', '1416212199', None, None, None, None, None, '4376556') ('4189', None, None, None, None, None, None, None, '4376556') ('4189', '31011304', '1416212198', None, None, None, None, None, '4376556') ('4189', None, None, None, None, None, None, None, '4376556') ('4189', '31011304', '1416212197', None, None, None, None, None, '4376556') ('4189', None, None, None, None, None, None, None, '4376556') ('4189', '31011304', '1416212196', None, None, None, None, None, '4376556') ('4189', None, None, None, None, None, None, None, '4376556') ('4189', '31011304', '1416212195', None, None, None, None, None, '4376556') ('4189', None, None, None, None, None, None, None, '4376556') ('4189', '31011304', '1416212183', None, None, None, None, None, '4376556') ('4189', None, None, None, None, None, None, None, '4376556') ('4189', '31011304', '1416212181', None, None, None, None, None, '4376556') ('4189', None, None, None, None, None, None, None, '4376556') ('4189', '31011304', '1416212179', None, None, None, None, None, '4376556') ('4189', None, None, None, None, None, None, None, '4376556') ('4189', '31011304', '1416212178', None, None, None, None, None, '4376556') ('4189', None, None, None, None, None, None, None, '4376556') ('4189', '31011304', '1416212177', None, None, None, None, None, '4376556') ('4189', None, None, None, None, None, None, None, '4376556') ('4189', '31011304', '1416212176', None, None, None, None, None, '4376556') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 101 time used for this insertion : 0.02819538116455078 save_final save missing photos in datou_result : time spend for datou_step_exec : 2.120513439178467 time spend to save output : 0.029032468795776367 total time spend for step 1 : 2.149545907974243 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 1.58user 0.55system 0:07.04elapsed 30%CPU (0avgtext+0avgdata 111444maxresident)k 1120inputs+240outputs (2major+52973minor)pagefaults 0swaps