python /home/admin/mtr/script_for_cron.py -j datou_current3 -m 20 -a ' -a 4876' -s datou_current_4876 -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 : 26102 load datou : 4876 # 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 we have a portfolio with more photos than limit : 1714>1000 please execute split_portfolio.py -i 22246422 -l 1000 size over we load limit photo not treated list_input_json: {} Current got : datou_id : 4876, datou_cur_ids : ['2744627'] with mtr_portfolio_ids : ['22246422'] and first list_photo_ids : [] new path : /proc/26102/ 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 : 0.032512664794921875 About to test input to load Calling datou_exec Inside datou_exec : verbose : 0 number of steps : 1 step1:split_time_score Fri Apr 11 14:18:30 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': 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'}] (('00', 15), ('01', 8), ('02', 13), ('03', 15), ('04', 8), ('05', 159), ('06', 222), ('07', 216), ('08', 247), ('09', 110), ('10', 248), ('11', 244), ('12', 54), ('13', 83), ('14', 72)) ERROR counted https://github.com/fotonower/Velours/issues/663#issuecomment-421136223 {1: 1509} 11042025 22246422 Nombre de photos uploadées : 160 / 23040 (0%) 11042025 22246422 Nombre de photos taguées (types de déchets): 1509 / 160 (943%) 11042025 22246422 Nombre de photos taguées (volume) : 1509 / 160 (943%) elapsed_time : load_data_split_time_score 2.1457672119140625e-06 elapsed_time : order_list_meta_photo_and_scores 0.0006237030029296875 ??????????????????????????????????????????????????????????????????????????????????????????????????????? elapsed_time : fill_and_build_computed_from_old_data 0.008058547973632812 elapsed_time : insert_dashboard_record_day_entry 0.028905630111694336 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 elapsed_time : list_photo_by_hashtags 0.00866556167602539 photos_removed : len 0 elapsed_time : load_duplicate_info 0.013218402862548828 ***** BEGIN SPLIT TIME ***** 1744329600.0 `1744366264.010151 1744365600.0 `1744367103.010136 1744366500.0 `1744367654.010138 1744367400.0 `1744368204.01014 1744367400.0 `1744368753.010138 1744368300.0 `1744371164.010135 1744371000.0 `1744371174.010136 1744371000.0 `1744371254.010137 1744371000.0 `1744371374.01014 1744371000.0 `1744371464.010139 1744371000.0 `1744371474.010136 1744371000.0 `1744371494.010141 1744371000.0 `1744371503.009124 1744371000.0 `1744371524.010137 1744371000.0 `1744371544.010148 1744371000.0 `1744371554.010136 1744371000.0 `1744371564.010134 1744371000.0 `1744371674.010139 1744371000.0 `1744371684.010133 1744371000.0 `1744371694.010146 1744371000.0 `1744371704.010136 1744371000.0 `1744371713.009126 1744371000.0 `1744371724.010151 1744371000.0 `1744371734.010137 1744371000.0 `1744371754.010133 1744371000.0 `1744371764.010132 1744371000.0 `1744371804.010139 1744371000.0 `1744371814.010135 1744371000.0 `1744371824.010135 1744371000.0 `1744371834.010141 1744371000.0 `1744371844.010141 1744371000.0 `1744371853.00921 1744371000.0 `1744371874.010138 1744371000.0 `1744371884.010137 1744371000.0 `1744371894.010134 1744371000.0 `1744371904.010149 1744371900.0 `1744371914.010134 1744371900.0 `1744371924.010134 1744371900.0 `1744371944.010136 1744371900.0 `1744371964.01016 1744371900.0 `1744371974.010138 1744371900.0 `1744372003.009132 1744371900.0 `1744372014.010138 1744371900.0 `1744372024.010139 1744371900.0 `1744372084.010137 1744371900.0 `1744372104.010135 1744371900.0 `1744372114.010138 1744371900.0 `1744372124.010143 1744371900.0 `1744372134.010138 1744371900.0 `1744372143.009126 1744371900.0 `1744372153.010139 1744371900.0 `1744372164.010141 1744371900.0 `1744372184.010136 1744371900.0 `1744372194.010138 1744371900.0 `1744372204.010159 1744371900.0 `1744372214.010134 1744371900.0 `1744372223.009124 1744371900.0 `1744372234.010137 1744371900.0 `1744372264.01015 1744371900.0 `1744372274.010134 1744371900.0 `1744372284.010135 1744371900.0 `1744372304.010136 1744371900.0 `1744372324.010152 1744371900.0 `1744372334.010135 1744371900.0 `1744372344.010135 1744371900.0 `1744372354.010134 1744371900.0 `1744372374.010139 1744371900.0 `1744372394.010137 1744371900.0 `1744372404.010135 1744371900.0 `1744372414.010136 1744371900.0 `1744372424.010134 1744371900.0 `1744372464.010133 1744371900.0 `1744372474.010133 1744371900.0 `1744372494.010133 1744371900.0 `1744372513.009126 1744371900.0 `1744372534.010145 1744371900.0 `1744372564.010149 1744371900.0 `1744372574.010137 1744371900.0 `1744372604.010144 1744371900.0 `1744372624.010153 1744371900.0 `1744372634.010137 1744371900.0 `1744372644.010135 1744371900.0 `1744372653.009125 1744371900.0 `1744372674.010137 1744371900.0 `1744372684.010136 1744371900.0 `1744372694.010137 1744371900.0 `1744372704.010133 1744371900.0 `1744372714.010134 1744371900.0 `1744372814.010201 1744372800.0 `1744372824.010139 1744372800.0 `1744372844.010138 1744372800.0 `1744372854.010135 1744372800.0 `1744372864.010155 1744372800.0 `1744372884.010142 1744372800.0 `1744372904.010137 1744372800.0 `1744372924.010155 1744372800.0 `1744372934.010139 1744372800.0 `1744372943.009125 1744372800.0 `1744372954.010144 1744372800.0 `1744372964.01014 1744372800.0 `1744373004.010133 1744372800.0 `1744373014.010135 1744372800.0 `1744373023.009125 1744372800.0 `1744373034.010896 1744372800.0 `1744373043.009151 1744372800.0 `1744373054.010139 1744372800.0 `1744373074.010136 1744372800.0 `1744373094.010138 1744372800.0 `1744373104.010142 1744372800.0 `1744373113.009126 1744372800.0 `1744373124.010142 1744372800.0 `1744373144.010143 1744372800.0 `1744373154.01014 1744372800.0 `1744373164.010167 1744372800.0 `1744373174.010136 1744372800.0 `1744373183.009125 1744372800.0 `1744373194.010136 1744372800.0 `1744373204.010136 1744372800.0 `1744373224.010165 1744372800.0 `1744373234.010137 1744372800.0 `1744373244.010135 1744372800.0 `1744373294.010136 1744372800.0 `1744373314.01014 1744372800.0 `1744373334.010137 1744372800.0 `1744373344.01015 1744372800.0 `1744373364.010134 1744372800.0 `1744373384.010139 1744372800.0 `1744373394.010137 1744372800.0 `1744373403.009135 1744372800.0 `1744373414.010139 1744372800.0 `1744373434.010136 1744372800.0 `1744373454.010138 1744372800.0 `1744373464.010152 1744372800.0 `1744373484.010143 1744372800.0 `1744373494.010144 1744372800.0 `1744373504.01014 1744372800.0 `1744373514.010137 1744372800.0 `1744373543.009124 1744372800.0 `1744373554.010137 1744372800.0 `1744373564.010137 1744372800.0 `1744373574.010134 1744372800.0 `1744373584.010154 1744372800.0 `1744373594.010136 1744372800.0 `1744373604.010135 1744372800.0 `1744373613.009125 1744372800.0 `1744373634.010138 1744372800.0 `1744373644.010136 1744372800.0 `1744373654.010138 1744372800.0 `1744373664.010138 1744372800.0 `1744373674.010138 1744372800.0 `1744373683.009129 1744372800.0 `1744373693.010137 1744372800.0 `1744373704.010143 1744373700.0 `1744373744.010135 1744373700.0 `1744373754.010134 1744373700.0 `1744373763.009132 1744373700.0 `1744373774.010144 1744373700.0 `1744373784.010137 1744373700.0 `1744373794.010141 1744373700.0 `1744373804.010141 1744373700.0 list printed: [[0], [1], [2, 3], [4], [5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34], [35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87], [88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151], [152, 153, 154, 155, 156, 157, 158, 159]] forced_hashtag: JRM force hashtag to JRM elapsed_time : SPLIT_TIME 0.011142253875732422 ***** END SPLIT TIME ***** NUMBER BATCH : 8 list_ponderation used : [1e-05, 1e-05, 1e-05, 1e-05, 1e-05] , list_hashtag_class_create_as_list : ['jrm'] 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 result_one_balle_Type_JRM:{'day': '11042025', 'map_nb_amount': {0: 0, 1: 10, 2: 8, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 729.9999990463257, 'nb_balles_papier': 0.00018, 'begin_time_port': 'image_11042025_13_32_44_010135m0.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 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 result_one_balle_Type_JRM:{'day': '11042025', 'map_nb_amount': {0: 0, 1: 21, 2: 6, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 809.9999849796295, 'nb_balles_papier': 0.00027000000000000006, 'begin_time_port': 'image_11042025_13_45_04_010149m0.jpg 1e-05 for time 1, id_amount 2 this amount prod time diff : 1e-05'} Production hashtag (incorrect ponderation at 20-10-18) : 0.00027000000000000006 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 result_one_balle_Type_JRM:{'day': '11042025', 'map_nb_amount': {0: 0, 1: 6, 2: 6, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 878.9999361038208, 'nb_balles_papier': 0.00012, 'begin_time_port': 'image_11042025_14_00_14_10201.jpg'} Production hashtag (incorrect ponderation at 20-10-18) : 0.00012 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 result_one_balle_Type_JRM:{'day': '11042025', 'map_nb_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 99.99999785423279, 'nb_balles_papier': 0, 'begin_time_port': 'image_11042025_14_15_04_10143.jpg'} Production hashtag (incorrect ponderation at 20-10-18) : 0 We have rejected 5 photos because of the batch_size condition ! NUMBER BATCH list_of_portfolios_to_create : 4 Still a lot to verify ! Still a lot to verify ! Still a lot to verify ! Still a lot to verify ! list_same_port_ids : [] https://marlene.fotonower.com/api/v1/secured/portfolio/new?name=JRM_diff_batch__11042025_14_15_04_010143&access_token=3e00c8f3e5af383c48e3c68940ba6fe7 Qualite : 0.03733633829439681 We don't need to reset the datou_current for this portfolio, que ce soit dans le cas ou il est fini (et found_correct devrait etre vrai, ou dans le cas ou il n'est pas fini, mais du coup on le retrouvera et mettra simplement à jour) # 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 ! 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 13596 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11881 final have less inputs used (1) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11881 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! WARNING : number of outputs for step 13625 velours_tree is not consistent : 2 used against 1 in the step definition ! Step 11884 send_mail_cod have less inputs used (3) than in the step definition (5) : 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 : output 0 of step 13596 have datatype=10 whereas input 3 of step 11884 have datatype=6 WARNING : type of output 1 of step 13596 doesn't seem to be define in the database( WARNING : type of input 3 of step 11881 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 13596 have datatype=10 whereas input 0 of step 13625 have datatype=18 WARNING : type of output 1 of step 13625 doesn't seem to be define in the database( WARNING : type of input 5 of step 11884 doesn't seem to be define in the database( 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`=22276503 AND mptpi.`type`=3726 To do Qualite : 0.053980849682906056 We don't need to reset the datou_current for this portfolio, que ce soit dans le cas ou il est fini (et found_correct devrait etre vrai, ou dans le cas ou il n'est pas fini, mais du coup on le retrouvera et mettra simplement à jour) # 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 ! 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 13596 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11881 final have less inputs used (1) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11881 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! WARNING : number of outputs for step 13625 velours_tree is not consistent : 2 used against 1 in the step definition ! Step 11884 send_mail_cod have less inputs used (3) than in the step definition (5) : 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 : output 0 of step 13596 have datatype=10 whereas input 3 of step 11884 have datatype=6 WARNING : type of output 1 of step 13596 doesn't seem to be define in the database( WARNING : type of input 3 of step 11881 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 13596 have datatype=10 whereas input 0 of step 13625 have datatype=18 WARNING : type o