python /home/admin/mtr/script_for_cron.py -j datou_current3 -m 20 -a ' -a 4323' -s datou_current_4323 -M 0 -S 0 -U 95,95,120
 import MySQLdb succeeded 
Import error (python version)
['/Users/moilerat/Documents/Fotonower/install/caffe/distribute/python', '/home/admin/workarea/git/Velours/python/prod', '/home/admin/workarea/install/caffe_cuda8_python3/python', '/home/admin/workarea/install/darknet', '/home/admin/workarea/git/Velours/python', '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python', '/home/admin/mtr/.credentials', '/home/admin/workarea/install/caffe/python', '/home/admin/workarea/install/caffe_frcnn/py-faster-rcnn/tools', '/home/admin/workarea/git/fotonowerpip', '/home/admin/workarea/install/segment-anything', '/home/admin/workarea/git/pyfvs', '/usr/lib/python38.zip', '/usr/lib/python3.8', '/usr/lib/python3.8/lib-dynload', '/home/admin/.local/lib/python3.8/site-packages', '/usr/local/lib/python3.8/dist-packages', '/usr/lib/python3/dist-packages']
process id : 2521866
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
we have a portfolio with more photos than limit : 1015>1000
please execute split_portfolio.py -i 24899268 -l 1000
size over we load limit photo not treated
list_input_json: {}
Current got : datou_id : 4323, datou_cur_ids : ['3278689'] with mtr_portfolio_ids : ['24899268'] and first list_photo_ids : []
new path :  /proc/2521866/
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 : 0.04061460494995117
About to test input to load 
Calling datou_exec

Inside datou_exec : verbose : 0
number of steps :  1
step1:split_time_score
Mon Jul 14 08:55:27 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
begin split time score
2022-04-13 10:29:59 0
TODO : Insert select and so on
Begin split_port_in_batch_balle
thcls : [{'id': 3847, 'mtr_user_id': 31, 'name': 'learn_MM_generique_050224', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'aluminium,ela,emr,film_pedb,flux_dev,jrm,pcm,pcnc,pehd_pp,pet_clair,refus,tapis_vide', 'svm_portfolios_learning': '13096157,13096155,13096163,13096159,13301956,13095886,13096162,13096160,13358264,13096158,5515868,13276803', 'photo_hashtag_type': 4932, 'photo_desc_type': 6032, 'type_classification': 'tf_classification2', 'hashtag_id_list': '493546845,492741797,616987804,2107760237,2107760238,495916461,560181804,1284539308,2107760239,2107755846,538914404,2107748999'}]
thcls : [{'id': 3513, 'mtr_user_id': 31, 'name': 'Rungis_amount_dechets_fall_2018_v2_tf', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': '05102018_Papier_non_papier_dense,05102018_Papier_non_papier_peu_dense,05102018_Papier_non_papier_presque_vide,05102018_Papier_non_papier_tres_dense,05102018_Papier_non_papier_tres_peu_dense', 'svm_portfolios_learning': '1108385,1108386,1108388,1108384,1108387', 'photo_hashtag_type': 4557, 'photo_desc_type': 5767, 'type_classification': 'tf_classification2', 'hashtag_id_list': '2107751013,2107751014,2107751015,2107751016,2107751017'}]
(('00', 577), ('01', 438))
ERROR counted https://github.com/fotonower/Velours/issues/663#issuecomment-421136223 {1: 1007}
14072025 24899268 Nombre de photos uploadées : 1015 / 23040 (4%)
14072025 24899268 Nombre de photos taguées (types de déchets): 1007 / 1015 (99%)
14072025 24899268 Nombre de photos taguées (volume) : 1007 / 1015 (99%)
 elapsed_time : load_data_split_time_score 2.384185791015625e-06
 elapsed_time : order_list_meta_photo_and_scores 0.0004177093505859375
???????? elapsed_time : fill_and_build_computed_from_old_data 0.06771063804626465
 elapsed_time : insert_dashboard_record_day_entry 0.20804357528686523

 Creating list_photo_total 

 elapsed_time : select_descriptors 0.026025772094726562
14072025 24899268 Nombre de photos avec descriptors (type 6032) : 0 / 8 (0%)
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Missing descriptors for photos 1372072274 and 1372072342
Missing descriptors for photos 1372072342 and 1372072417
Missing descriptors for photos 1372072417 and 1372072479
Missing descriptors for photos 1372072479 and 1372072645
Missing descriptors for photos 1372072645 and 1372074562
Missing descriptors for photos 1372074562 and 1372074710
Missing descriptors for photos 1372074710 and 1372074928
Missing descriptors for photos 1372074928 and 1372074958
Missing descriptors for photos 1372074958 and 1372075240
Missing descriptors for photos 1372075240 and 1372075374
Missing descriptors for photos 1372075374 and 1372075412
Missing descriptors for photos 1372075412 and 1372075523
Missing descriptors for photos 1372075523 and 1372067977
Missing descriptors for photos 1372067977 and 1372068256
Missing descriptors for photos 1372068256 and 1372068640
Missing descriptors for photos 1372068640 and 1372068675
Missing descriptors for photos 1372068675 and 1372068726
Missing descriptors for photos 1372068726 and 1372068780
Missing descriptors for photos 1372068780 and 1372068802
Missing descriptors for photos 1372068802 and 1372068877
Missing descriptors for photos 1372068877 and 1372068915
Missing descriptors for photos 1372068915 and 1372068976
Missing descriptors for photos 1372068976 and 1372068998
Missing descriptors for photos 1372068998 and 1372069017
Missing descriptors for photos 1372069017 and 1372069043
Missing descriptors for photos 1372069043 and 1372069174
Missing descriptors for photos 1372069174 and 1372069223
Missing descriptors for photos 1372069223 and 1372069250
Missing descriptors for photos 1372069250 and 1372069297
Missing descriptors for photos 1372069297 and 1372069349
Missing descriptors for photos 1372069349 and 1372069375
Missing descriptors for photos 1372069375 and 1372069393
Missing descriptors for photos 1372069393 and 1372069411
Missing descriptors for photos 1372069411 and 1372069462
Missing descriptors for photos 1372069462 and 1372069831
Missing descriptors for photos 1372069831 and 1372071364
Missing descriptors for photos 1372071364 and 1372071419
Missing descriptors for photos 1372071419 and 1372071502
Missing descriptors for photos 1372071502 and 1372071528
Missing descriptors for photos 1372071528 and 1372071565
Missing descriptors for photos 1372071565 and 1372071611
Missing descriptors for photos 1372071611 and 1372071644
Missing descriptors for photos 1372071644 and 1372071679
Missing descriptors for photos 1372071679 and 1372071738
Missing descriptors for photos 1372071738 and 1372071848
Missing descriptors for photos 1372071848 and 1372071952
Missing descriptors for photos 1372071952 and 1372071974
Missing descriptors for photos 1372071974 and 1372072002
Missing descriptors for photos 1372072002 and 1372072036
Missing descriptors for photos 1372072036 and 1372072156
Missing descriptors for photos 1372072156 and 1372072217
Missing descriptors for photos 1372072217 and 1372072238
Missing descriptors for photos 1372072238 and 1372072271
Missing descriptors for photos 1372072271 and 1372072339
Missing descriptors for photos 1372072339 and 1372072412
Missing descriptors for photos 1372072412 and 1372072477
Missing descriptors for photos 1372072477 and 1372072642
Missing descriptors for photos 1372072642 and 1372074558
Missing descriptors for photos 1372074558 and 1372074630
Missing descriptors for photos 1372074630 and 1372074672
Missing descriptors for photos 1372074672 and 1372074705
Missing descriptors for photos 1372074705 and 1372074873
Missing descriptors for photos 1372074873 and 1372074924
Missing descriptors for photos 1372074924 and 1372074954
Missing descriptors for photos 1372074954 and 1372075019
Missing descriptors for photos 1372075019 and 1372075131
Missing descriptors for photos 1372075131 and 1372075205
Missing descriptors for photos 1372075205 and 1372075236
Missing descriptors for photos 1372075236 and 1372075369
Missing descriptors for photos 1372075369 and 1372075408
Missing descriptors for photos 1372075408 and 1372075494
Missing descriptors for photos 1372075494 and 1372075519

 14072025 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
Warning in study_and_display_distrib_list : min=max : -1 -1




begin to insert list_values into photo_hahstag_ids : 
length of list_valuse in save_photo_hashtag_id_type : 1015
time used for this insertion : 0.16873574256896973
  photos_removed : len 0
 elapsed_time : remove_photo_duplicate 0.22286558151245117

 Creating list_photo_total 

Warning list_scores null 
Warning list_scores null 
Warning list_scores null 
Warning list_scores null 
Warning list_scores null 
Warning list_scores null 
Warning list_scores null 
Warning list_scores null 
ERROR !
ERROR !
ERROR !
ERROR !
ERROR !
ERROR !
ERROR !
ERROR !
 elapsed_time : count_sum_diff_and_build_graph 0.010747909545898438
 Total photos : 1015
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 Total photos : 1015
Number of lists : 0
counter photos in port : 0
 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) : 0 photos in 0 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) : 0 photos in 0 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 0 portfolios !
 elapsed_time : group_photo_by_moyenne_exp 0.04817461967468262
 elapsed_time : compute_and_correct_tag_with_moyenne_mobile 3.5762786865234375e-06
today str has not a value , we define it as the date of the first image
todaystr_first : 14072025
attention , prev_timestamp is 0 , we do nothing
*o****ooooooooooooooooooooooooooooooooooooo*ooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooo*oooooooo*ooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooUnexpected type of data : ({'photo_id': 1372089431, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/7/14/244d1109022ae611e689adc5811a756c.jpg', 'username': None, 'uploaded_at': 1752475931, 'text': 'image_14072025_00_19_14_8998.jpg', 'time': 1752452354.008998}, 'different')
Unexpected type of data : ({'photo_id': 1372089462, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/7/14/e30e21e7508fbba2817d1bfb4c46365e.jpg', 'username': None, 'uploaded_at': 1752476000, 'text': 'image_14072025_00_19_14_8998.jpg', 'time': 1752452354.008998}, 'different')
oUnexpected type of data : ({'photo_id': 1372089467, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/7/14/727a8b5b2303bfcd6dd2ded33aa10406.jpg', 'username': None, 'uploaded_at': 1752476000, 'text': 'image_14072025_00_19_24_10201.jpg', 'time': 1752452364.010201}, 'different')
*Unexpected type of data : ({'photo_id': 1372089470, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/7/14/34ce764c7748fb5b8944098a05138df8.jpg', 'username': None, 'uploaded_at': 1752476000, 'text': 'image_14072025_00_19_55_10226.jpg', 'time': 1752452395.010226}, 'different')
*************************************oooooooooooooooooooooooooooooooooooooooooooooooooooooooooooUnexpected type of data : ({'photo_id': 1372089375, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/7/14/fe5a2573a1258b3d9543c92a8b653331.jpg', 'username': None, 'uploaded_at': 1752475857, 'text': 'image_14072025_01_51_54_9021.jpg', 'time': 1752457914.009021}, 'different')
ooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooUnexpected type of data : ({'photo_id': 1372089372, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/7/14/cbfadd74bd02e9ac7390ba77a378653b.jpg', 'username': None, 'uploaded_at': 1752475857, 'text': 'image_14072025_01_52_04_10462.jpg', 'time': 1752457924.010462}, 'different')
oooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooUnexpected type of data : ({'photo_id': 1372089369, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/7/14/91fd376db4544212240b3a6899cb1529.jpg', 'username': None, 'uploaded_at': 1752475857, 'text': 'image_14072025_01_52_14_10224.jpg', 'time': 1752457934.010224}, 'different')
Unexpected type of data : ({'photo_id': 1372089448, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/7/14/7c7549f962e21f16c6f20df16057dede.jpg', 'username': None, 'uploaded_at': 1752475964, 'text': 'image_14072025_01_52_14_10224.jpg', 'time': 1752457934.010224}, 'different')
ooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooCount Time bigger than 30s : 46
#Number Photos for regression : 
{'14072025': {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: 0, 2107751016: 0, 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: 0, 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: 4000.0020785331726, 2107751016: 0, 2107751017: 0}}}
14072025|aluminium, 05102018_papier_non_papier_dense:0
14072025|aluminium, 05102018_papier_non_papier_peu_dense:0
14072025|aluminium, 05102018_papier_non_papier_presque_vide:0
14072025|aluminium, 05102018_papier_non_papier_tres_dense:0
14072025|aluminium, 05102018_papier_non_papier_tres_peu_dense:0
14072025|ela, 05102018_papier_non_papier_dense:0
14072025|ela, 05102018_papier_non_papier_peu_dense:0
14072025|ela, 05102018_papier_non_papier_presque_vide:0
14072025|ela, 05102018_papier_non_papier_tres_dense:0
14072025|ela, 05102018_papier_non_papier_tres_peu_dense:0
14072025|emr, 05102018_papier_non_papier_dense:0
14072025|emr, 05102018_papier_non_papier_peu_dense:0
14072025|emr, 05102018_papier_non_papier_presque_vide:0
14072025|emr, 05102018_papier_non_papier_tres_dense:0
14072025|emr, 05102018_papier_non_papier_tres_peu_dense:0
14072025|film_pedb, 05102018_papier_non_papier_dense:0
14072025|film_pedb, 05102018_papier_non_papier_peu_dense:0
14072025|film_pedb, 05102018_papier_non_papier_presque_vide:0
14072025|film_pedb, 05102018_papier_non_papier_tres_dense:0
14072025|film_pedb, 05102018_papier_non_papier_tres_peu_dense:0
14072025|flux_dev, 05102018_papier_non_papier_dense:0
14072025|flux_dev, 05102018_papier_non_papier_peu_dense:0
14072025|flux_dev, 05102018_papier_non_papier_presque_vide:0
14072025|flux_dev, 05102018_papier_non_papier_tres_dense:0
14072025|flux_dev, 05102018_papier_non_papier_tres_peu_dense:0
14072025|jrm, 05102018_papier_non_papier_dense:0
14072025|jrm, 05102018_papier_non_papier_peu_dense:0
14072025|jrm, 05102018_papier_non_papier_presque_vide:0
14072025|jrm, 05102018_papier_non_papier_tres_dense:0
14072025|jrm, 05102018_papier_non_papier_tres_peu_dense:0
14072025|pcm, 05102018_papier_non_papier_dense:0
14072025|pcm, 05102018_papier_non_papier_peu_dense:0
14072025|pcm, 05102018_papier_non_papier_presque_vide:0
14072025|pcm, 05102018_papier_non_papier_tres_dense:0
14072025|pcm, 05102018_papier_non_papier_tres_peu_dense:0
14072025|pcnc, 05102018_papier_non_papier_dense:0
14072025|pcnc, 05102018_papier_non_papier_peu_dense:0
14072025|pcnc, 05102018_papier_non_papier_presque_vide:0
14072025|pcnc, 05102018_papier_non_papier_tres_dense:0
14072025|pcnc, 05102018_papier_non_papier_tres_peu_dense:0
14072025|pehd_pp, 05102018_papier_non_papier_dense:0
14072025|pehd_pp, 05102018_papier_non_papier_peu_dense:0
14072025|pehd_pp, 05102018_papier_non_papier_presque_vide:0
14072025|pehd_pp, 05102018_papier_non_papier_tres_dense:0
14072025|pehd_pp, 05102018_papier_non_papier_tres_peu_dense:0
14072025|pet_clair, 05102018_papier_non_papier_dense:0
14072025|pet_clair, 05102018_papier_non_papier_peu_dense:0
14072025|pet_clair, 05102018_papier_non_papier_presque_vide:0
14072025|pet_clair, 05102018_papier_non_papier_tres_dense:0
14072025|pet_clair, 05102018_papier_non_papier_tres_peu_dense:0
14072025|refus, 05102018_papier_non_papier_dense:0
14072025|refus, 05102018_papier_non_papier_peu_dense:0
14072025|refus, 05102018_papier_non_papier_presque_vide:0
14072025|refus, 05102018_papier_non_papier_tres_dense:0
14072025|refus, 05102018_papier_non_papier_tres_peu_dense:0
14072025|tapis_vide, 05102018_papier_non_papier_dense:0
14072025|tapis_vide, 05102018_papier_non_papier_peu_dense:0
14072025|tapis_vide, 05102018_papier_non_papier_presque_vide:4000.0020785331726
14072025|tapis_vide, 05102018_papier_non_papier_tres_dense:0
14072025|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 !
14072025_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 0
 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 0
 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 995
https://marlene.fotonower.com/api/v1/secured/portfolio/new?name=14072025_tapis_vide_05102018_papier_non_papier_presque_vide&access_token=3e00c8f3e5af383c48e3c68940ba6fe7
Created to study and clean : 24908813 with name like 14072025_tapis_vide_05102018_papier_non_papier_presque_vide
 NUMBER BATCH : 0
 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 have rejected 0 photos because of the batch_size condition !
 NUMBER BATCH list_of_portfolios_to_create : 0
 elapsed_time : count_nb_balles_and_create_portfolio 5.118445158004761
# DISPLAY ALL COLLECTED DATA : 
{'14072025': {'nb_upload': 1015, 'nb_taggue_class': 1007, 'nb_taggue_densite': 1007, 'nb_descriptors': 0, 'number_port': 0, 'count_photo_in_port': 0, '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': 0, 'nb_portfolios': 0}, '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': 0, 'nb_portfolios': 0}, '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': 0}}}}
Inside saveOutput : final : True verbose : 0
 saveOutput not yet implemented for datou_step.type : split_time_score we use saveGeneral 
[1372089470, 1372089467, 1372089462, 1372089448, 1372089431, 1372089375, 1372089372, 1372089369, 1372089309, 1372089283, 1372089279, 1372089276, 1372089262, 1372089258, 1372089253, 1372089219, 1372089214, 1372089209, 1372089205, 1372089199, 1372089193, 1372089136, 1372089134, 1372089122, 1372089117, 1372089087, 1372089015, 1372089012, 1372088966, 1372088963, 1372088959, 1372088931, 1372088924, 1372088920, 1372088914, 1372088884, 1372088882, 1372088853, 1372088825, 1372088806, 1372088749, 1372088713, 1372088711, 1372088710, 1372088708, 1372088689, 1372088624, 1372088621, 1372088616, 1372088588, 1372088585, 1372088557, 1372088555, 1372088494, 1372088491, 1372088486, 1372088474, 1372088470, 1372088459, 1372088454, 1372088451, 1372088418, 1372088384, 1372088332, 1372088328, 1372088324, 1372088295, 1372088265, 1372088261, 1372088258, 1372088227, 1372088226, 1372088224, 1372088175, 1372088173, 1372088169, 1372088168, 1372088164, 1372088158, 1372088154, 1372088148, 1372088134, 1372088116, 1372088097, 1372088094, 1372088090, 1372088072, 1372088067, 1372088049, 1372088045, 1372088029, 1372087999, 1372087965, 1372087847, 1372087813, 1372087810, 1372086698, 1372086682, 1372086381, 1372086236]
Looping around the photos to save general results
len do output : 1
/24899268Didn't retrieve data
.
before output type
Here is an output not treated by saveGeneral : <mtr.datou.datou_lib_object.DatouData object at 0x7f4550f71a90>
Managing all output in save final without adding information in the mtr_datou_result 
('4323', None, None, None, None, None, None, None, '3278689')
('4323', '24899268', '1372089470', None, None, None, None, None, '3278689')
('4323', None, None, None, None, None, None, None, '3278689')
('4323', '24899268', '1372089467', None, None, None, None, None, '3278689')
('4323', None, None, None, None, None, None, None, '3278689')
('4323', '24899268', '1372089462', None, None, None, None, None, '3278689')
('4323', None, None, None, None, None, None, None, '3278689')
('4323', '24899268', '1372089448', None, None, None, None, None, '3278689')
('4323', None, None, None, None, None, None, None, '3278689')
('4323', '24899268', '1372089431', None, None, None, None, None, '3278689')
('4323', None, None, None, None, None, None, None, '3278689')
('4323', '24899268', '1372089375', None, None, None, None, None, '3278689')
('4323', None, None, None, None, None, None, None, '3278689')
('4323', '24899268', '1372089372', None, None, None, None, None, '3278689')
('4323', None, None, None, None, None, None, None, '3278689')
('4323', '24899268', '1372089369', None, None, None, None, None, '3278689')
('4323', None, None, None, None, None, None, None, '3278689')
('4323', '24899268', '1372089309', None, None, None, None, None, '3278689')
('4323', None, None, None, None, None, None, None, '3278689')
('4323', '24899268', '1372089283', None, None, None, None, None, '3278689')
('4323', None, None, None, None, None, None, None, '3278689')
('4323', '24899268', '1372089279', None, None, None, None, None, '3278689')
('4323', None, None, None, None, None, None, None, '3278689')
('4323', '24899268', '1372089276', None, None, None, None, None, '3278689')
('4323', None, None, None, None, None, None, None, '3278689')
('4323', '24899268', '1372089262', None, None, None, None, None, '3278689')
('4323', None, None, None, None, None, None, None, '3278689')
('4323', '24899268', '1372089258', None, None, None, None, None, '3278689')
('4323', None, None, None, None, None, None, None, '3278689')
('4323', '24899268', '1372089253', None, None, None, None, None, '3278689')
('4323', None, None, None, None, None, None, None, '3278689')
('4323', '24899268', '1372089219', None, None, None, None, None, '3278689')
('4323', None, None, None, None, None, None, None, '3278689')
('4323', '24899268', '1372089214', None, None, None, None, None, '3278689')
('4323', None, None, None, None, None, None, None, '3278689')
('4323', '24899268', '1372089209', None, None, None, None, None, '3278689')
('4323', None, None, None, None, None, None, None, '3278689')
('4323', '24899268', '1372089205', None, None, None, None, None, '3278689')
('4323', None, None, None, None, None, None, None, '3278689')
('4323', '24899268', '1372089199', None, None, None, None, None, '3278689')
('4323', None, None, None, None, None, None, None, '3278689')
('4323', '24899268', '1372089193', None, None, None, None, None, '3278689')
('4323', None, None, None, None, None, None, None, '3278689')
('4323', '24899268', '1372089136', None, None, None, None, None, '3278689')
('4323', None, None, None, None, None, None, None, '3278689')
('4323', '24899268', '1372089134', None, None, None, None, None, '3278689')
('4323', None, None, None, None, None, None, None, '3278689')
('4323', '24899268', '1372089122', None, None, None, None, None, '3278689')
('4323', None, None, None, None, None, None, None, '3278689')
('4323', '24899268', '1372089117', None, None, None, None, None, '3278689')
('4323', None, None, None, None, None, None, None, '3278689')
('4323', '24899268', '1372089087', None, None, None, None, None, '3278689')
('4323', None, None, None, None, None, None, None, '3278689')
('4323', '24899268', '1372089015', None, None, None, None, None, '3278689')
('4323', None, None, None, None, None, None, None, '3278689')
('4323', '24899268', '1372089012', None, None, None, None, None, '3278689')
('4323', None, None, None, None, None, None, None, '3278689')
('4323', '24899268', '1372088966', None, None, None, None, None, '3278689')
('4323', None, None, None, None, None, None, None, '3278689')
('4323', '24899268', '1372088963', None, None, None, None, None, '3278689')
('4323', None, None, None, None, None, None, None, '3278689')
('4323', '24899268', '1372088959', None, None, None, None, None, '3278689')
('4323', None, None, None, None, None, None, None, '3278689')
('4323', '24899268', '1372088931', None, None, None, None, None, '3278689')
('4323', None, None, None, None, None, None, None, '3278689')
('4323', '24899268', '1372088924', None, None, None, None, None, '3278689')
('4323', None, None, None, None, None, None, None, '3278689')
('4323', '24899268', '1372088920', None, None, None, None, None, '3278689')
('4323', None, None, None, None, None, None, None, '3278689')
('4323', '24899268', '1372088914', None, None, None, None, None, '3278689')
('4323', None, None, None, None, None, None, None, '3278689')
('4323', '24899268', '1372088884', None, None, None, None, None, '3278689')
('4323', None, None, None, None, None, None, None, '3278689')
('4323', '24899268', '1372088882', None, None, None, None, None, '3278689')
('4323', None, None, None, None, None, None, None, '3278689')
('4323', '24899268', '1372088853', None, None, None, None, None, '3278689')
('4323', None, None, None, None, None, None, None, '3278689')
('4323', '24899268', '1372088825', None, None, None, None, None, '3278689')
('4323', None, None, None, None, None, None, None, '3278689')
('4323', '24899268', '1372088806', None, None, None, None, None, '3278689')
('4323', None, None, None, None, None, None, None, '3278689')
('4323', '24899268', '1372088749', None, None, None, None, None, '3278689')
('4323', None, None, None, None, None, None, None, '3278689')
('4323', '24899268', '1372088713', None, None, None, None, None, '3278689')
('4323', None, None, None, None, None, None, None, '3278689')
('4323', '24899268', '1372088711', None, None, None, None, None, '3278689')
('4323', None, None, None, None, None, None, None, '3278689')
('4323', '24899268', '1372088710', None, None, None, None, None, '3278689')
('4323', None, None, None, None, None, None, None, '3278689')
('4323', '24899268', '1372088708', None, None, None, None, None, '3278689')
('4323', None, None, None, None, None, None, None, '3278689')
('4323', '24899268', '1372088689', None, None, None, None, None, '3278689')
('4323', None, None, None, None, None, None, None, '3278689')
('4323', '24899268', '1372088624', None, None, None, None, None, '3278689')
('4323', None, None, None, None, None, None, None, '3278689')
('4323', '24899268', '1372088621', None, None, None, None, None, '3278689')
('4323', None, None, None, None, None, None, None, '3278689')
('4323', '24899268', '1372088616', None, None, None, None, None, '3278689')
('4323', None, None, None, None, None, None, None, '3278689')
('4323', '24899268', '1372088588', None, None, None, None, None, '3278689')
('4323', None, None, None, None, None, None, None, '3278689')
('4323', '24899268', '1372088585', None, None, None, None, None, '3278689')
('4323', None, None, None, None, None, None, None, '3278689')
('4323', '24899268', '1372088557', None, None, None, None, None, '3278689')
('4323', None, None, None, None, None, None, None, '3278689')
('4323', '24899268', '1372088555', None, None, None, None, None, '3278689')
('4323', None, None, None, None, None, None, None, '3278689')
('4323', '24899268', '1372088494', None, None, None, None, None, '3278689')
('4323', None, None, None, None, None, None, None, '3278689')
('4323', '24899268', '1372088491', None, None, None, None, None, '3278689')
('4323', None, None, None, None, None, None, None, '3278689')
('4323', '24899268', '1372088486', None, None, None, None, None, '3278689')
('4323', None, None, None, None, None, None, None, '3278689')
('4323', '24899268', '1372088474', None, None, None, None, None, '3278689')
('4323', None, None, None, None, None, None, None, '3278689')
('4323', '24899268', '1372088470', None, None, None, None, None, '3278689')
('4323', None, None, None, None, None, None, None, '3278689')
('4323', '24899268', '1372088459', None, None, None, None, None, '3278689')
('4323', None, None, None, None, None, None, None, '3278689')
('4323', '24899268', '1372088454', None, None, None, None, None, '3278689')
('4323', None, None, None, None, None, None, None, '3278689')
('4323', '24899268', '1372088451', None, None, None, None, None, '3278689')
('4323', None, None, None, None, None, None, None, '3278689')
('4323', '24899268', '1372088418', None, None, None, None, None, '3278689')
('4323', None, None, None, None, None, None, None, '3278689')
('4323', '24899268', '1372088384', None, None, None, None, None, '3278689')
('4323', None, None, None, None, None, None, None, '3278689')
('4323', '24899268', '1372088332', None, None, None, None, None, '3278689')
('4323', None, None, None, None, None, None, None, '3278689')
('4323', '24899268', '1372088328', None, None, None, None, None, '3278689')
('4323', None, None, None, None, None, None, None, '3278689')
('4323', '24899268', '1372088324', None, None, None, None, None, '3278689')
('4323', None, None, None, None, None, None, None, '3278689')
('4323', '24899268', '1372088295', None, None, None, None, None, '3278689')
('4323', None, None, None, None, None, None, None, '3278689')
('4323', '24899268', '1372088265', None, None, None, None, None, '3278689')
('4323', None, None, None, None, None, None, None, '3278689')
('4323', '24899268', '1372088261', None, None, None, None, None, '3278689')
('4323', None, None, None, None, None, None, None, '3278689')
('4323', '24899268', '1372088258', None, None, None, None, None, '3278689')
('4323', None, None, None, None, None, None, None, '3278689')
('4323', '24899268', '1372088227', None, None, None, None, None, '3278689')
('4323', None, None, None, None, None, None, None, '3278689')
('4323', '24899268', '1372088226', None, None, None, None, None, '3278689')
('4323', None, None, None, None, None, None, None, '3278689')
('4323', '24899268', '1372088224', None, None, None, None, None, '3278689')
('4323', None, None, None, None, None, None, None, '3278689')
('4323', '24899268', '1372088175', None, None, None, None, None, '3278689')
('4323', None, None, None, None, None, None, None, '3278689')
('4323', '24899268', '1372088173', None, None, None, None, None, '3278689')
('4323', None, None, None, None, None, None, None, '3278689')
('4323', '24899268', '1372088169', None, None, None, None, None, '3278689')
('4323', None, None, None, None, None, None, None, '3278689')
('4323', '24899268', '1372088168', None, None, None, None, None, '3278689')
('4323', None, None, None, None, None, None, None, '3278689')
('4323', '24899268', '1372088164', None, None, None, None, None, '3278689')
('4323', None, None, None, None, None, None, None, '3278689')
('4323', '24899268', '1372088158', None, None, None, None, None, '3278689')
('4323', None, None, None, None, None, None, None, '3278689')
('4323', '24899268', '1372088154', None, None, None, None, None, '3278689')
('4323', None, None, None, None, None, None, None, '3278689')
('4323', '24899268', '1372088148', None, None, None, None, None, '3278689')
('4323', None, None, None, None, None, None, None, '3278689')
('4323', '24899268', '1372088134', None, None, None, None, None, '3278689')
('4323', None, None, None, None, None, None, None, '3278689')
('4323', '24899268', '1372088116', None, None, None, None, None, '3278689')
('4323', None, None, None, None, None, None, None, '3278689')
('4323', '24899268', '1372088097', None, None, None, None, None, '3278689')
('4323', None, None, None, None, None, None, None, '3278689')
('4323', '24899268', '1372088094', None, None, None, None, None, '3278689')
('4323', None, None, None, None, None, None, None, '3278689')
('4323', '24899268', '1372088090', None, None, None, None, None, '3278689')
('4323', None, None, None, None, None, None, None, '3278689')
('4323', '24899268', '1372088072', None, None, None, None, None, '3278689')
('4323', None, None, None, None, None, None, None, '3278689')
('4323', '24899268', '1372088067', None, None, None, None, None, '3278689')
('4323', None, None, None, None, None, None, None, '3278689')
('4323', '24899268', '1372088049', None, None, None, None, None, '3278689')
('4323', None, None, None, None, None, None, None, '3278689')
('4323', '24899268', '1372088045', None, None, None, None, None, '3278689')
('4323', None, None, None, None, None, None, None, '3278689')
('4323', '24899268', '1372088029', None, None, None, None, None, '3278689')
('4323', None, None, None, None, None, None, None, '3278689')
('4323', '24899268', '1372087999', None, None, None, None, None, '3278689')
('4323', None, None, None, None, None, None, None, '3278689')
('4323', '24899268', '1372087965', None, None, None, None, None, '3278689')
('4323', None, None, None, None, None, None, None, '3278689')
('4323', '24899268', '1372087847', None, None, None, None, None, '3278689')
('4323', None, None, None, None, None, None, None, '3278689')
('4323', '24899268', '1372087813', None, None, None, None, None, '3278689')
('4323', None, None, None, None, None, None, None, '3278689')
('4323', '24899268', '1372087810', None, None, None, None, None, '3278689')
('4323', None, None, None, None, None, None, None, '3278689')
('4323', '24899268', '1372086698', None, None, None, None, None, '3278689')
('4323', None, None, None, None, None, None, None, '3278689')
('4323', '24899268', '1372086682', None, None, None, None, None, '3278689')
('4323', None, None, None, None, None, None, None, '3278689')
('4323', '24899268', '1372086381', None, None, None, None, None, '3278689')
('4323', None, None, None, None, None, None, None, '3278689')
('4323', '24899268', '1372086236', None, None, None, None, None, '3278689')


begin to insert list_values into mtr_datou_result : 
length of list_values in save_final : 101
time used for this insertion : 0.0683143138885498
 save_final 

save missing photos in datou_result :

time spend for datou_step_exec : 5.932546854019165
time spend to save output : 0.06922316551208496
total time spend for step 1 : 6.00177001953125

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 
1.26user 0.56system 0:07.91elapsed 23%CPU (0avgtext+0avgdata 107992maxresident)k
0inputs+232outputs (10major+50311minor)pagefaults 0swaps