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 : 3296416
load datou : 4323
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
 DONE and to test : checkNoCycle !
We are managing only one step so we do not consider checkConsistencyNbInputNbOutput !
We are managing only one step so we do not consider checkConsistencyTypeOutputInput !
Unexpected type for variable list_input_json
ERROR or WARNING : can't parse json string Expecting value: line 1 column 1 (char 0)
 Tried to parse : 
None was removed should we ?
donnée sous forme de texte was removed should we ?
[ptf_id0,ptf_id1...] was removed should we ?
load thcls
load pdts
Running datou job : batch_current
 TODO datou_current to load to do maybe to take outside batchDatouExec 
no input labels
no input values
updating current state to 1
list_input_json: {}
Current got : datou_id : 4323, datou_cur_ids : ['3431246'] with mtr_portfolio_ids : ['25624619'] and first list_photo_ids : []
new path :  /proc/3296416/
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 : 0.0386655330657959
About to test input to load 
Calling datou_exec

Inside datou_exec : verbose : 0
number of steps :  1
step1:split_time_score
Mon Aug  4 08:40:28 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
begin split time score
2022-04-13 10:29:59 0
TODO : Insert select and so on
Begin split_port_in_batch_balle
thcls : [{'id': 3847, 'mtr_user_id': 31, 'name': 'learn_MM_generique_050224', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'aluminium,ela,emr,film_pedb,flux_dev,jrm,pcm,pcnc,pehd_pp,pet_clair,refus,tapis_vide', 'svm_portfolios_learning': '13096157,13096155,13096163,13096159,13301956,13095886,13096162,13096160,13358264,13096158,5515868,13276803', 'photo_hashtag_type': 4932, 'photo_desc_type': 6032, 'type_classification': 'tf_classification2', 'hashtag_id_list': '493546845,492741797,616987804,2107760237,2107760238,495916461,560181804,1284539308,2107760239,2107755846,538914404,2107748999'}]
thcls : [{'id': 3513, 'mtr_user_id': 31, 'name': 'Rungis_amount_dechets_fall_2018_v2_tf', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': '05102018_Papier_non_papier_dense,05102018_Papier_non_papier_peu_dense,05102018_Papier_non_papier_presque_vide,05102018_Papier_non_papier_tres_dense,05102018_Papier_non_papier_tres_peu_dense', 'svm_portfolios_learning': '1108385,1108386,1108388,1108384,1108387', 'photo_hashtag_type': 4557, 'photo_desc_type': 5767, 'type_classification': 'tf_classification2', 'hashtag_id_list': '2107751013,2107751014,2107751015,2107751016,2107751017'}]
(('00', 103), ('01', 87), ('02', 103), ('03', 306), ('04', 347))
ERROR counted https://github.com/fotonower/Velours/issues/663#issuecomment-421136223 {1: 942}
04082025 25624619 Nombre de photos uploadées : 946 / 23040 (4%)
04082025 25624619 Nombre de photos taguées (types de déchets): 942 / 946 (99%)
04082025 25624619 Nombre de photos taguées (volume) : 942 / 946 (99%)
 elapsed_time : load_data_split_time_score 3.0994415283203125e-06
 elapsed_time : order_list_meta_photo_and_scores 0.0003838539123535156
???? elapsed_time : fill_and_build_computed_from_old_data 0.06894826889038086
Catched exception !
Connect or reconnect !
Catched exception !
Connect or reconnect !
 elapsed_time : insert_dashboard_record_day_entry 0.21797895431518555

 Creating list_photo_total 

 elapsed_time : select_descriptors 0.02666473388671875
04082025 25624619 Nombre de photos avec descriptors (type 6032) : 0 / 4 (0%)
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Missing descriptors for photos 1375078373 and 1375078386
Missing descriptors for photos 1375078386 and 1375078406
Missing descriptors for photos 1375078406 and 1375078421
Missing descriptors for photos 1375078421 and 1375078435

 04082025 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 : 946
time used for this insertion : 0.1698141098022461
  photos_removed : len 0
 elapsed_time : remove_photo_duplicate 0.2243328094482422

 Creating list_photo_total 

Warning list_scores null 
Warning list_scores null 
Warning list_scores null 
Warning list_scores null 
ERROR !
ERROR !
ERROR !
ERROR !
 elapsed_time : count_sum_diff_and_build_graph 0.014413833618164062
 Total photos : 946
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 Total photos : 946
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 0.039421796798706055
 elapsed_time : compute_and_correct_tag_with_moyenne_mobile 4.291534423828125e-06
today str has not a value , we define it as the date of the first image
todaystr_first : 04082025
attention , prev_timestamp is 0 , we do nothing
********o*oooooo*oooooooooooooooo*ooooooo**oo*ooooo*ooooooooooo*oo*o*****o*************ooooooooooo*ooooooooooooo*****ooooooooo*o*********o**ooooooooooooooooooooooo**********Unexpected type of data : ({'photo_id': 1375089282, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/8/4/6f1fb573c6e384a51c4163cb186e2dd2.jpg', 'username': None, 'uploaded_at': 1754289513, 'text': 'image_04082025_03_24_55_8994.jpg', 'time': 1754277895.008994}, 'different')
Unexpected type of data : ({'photo_id': 1375089279, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/8/4/4bf525402b225c8daa55187367513bfd.jpg', 'username': None, 'uploaded_at': 1754289513, 'text': 'image_04082025_03_25_15_10273.jpg', 'time': 1754277915.010273}, 'different')
*Unexpected type of data : ({'photo_id': 1375089274, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/8/4/29a376267088d48a681c0d655d798972.jpg', 'username': None, 'uploaded_at': 1754289513, 'text': 'image_04082025_03_25_25_10249.jpg', 'time': 1754277925.010249}, 'different')
Unexpected type of data : ({'photo_id': 1375089270, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/8/4/795a0d15dfcc646a151df89de1f23ed4.jpg', 'username': None, 'uploaded_at': 1754289513, 'text': 'image_04082025_03_25_36_10212.jpg', 'time': 1754277936.010212}, 'different')
*ooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooo*ooooooooooooo*oooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooo*o*oo*oooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooo*oooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooo*ooooooooooooooooooooooooooooooooooCount Time bigger than 30s : 72
#Number Photos for regression : 
{'04082025': {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: 6100.00040435791, 2107751016: 0, 2107751017: 0}}}
04082025|aluminium, 05102018_papier_non_papier_dense:0
04082025|aluminium, 05102018_papier_non_papier_peu_dense:0
04082025|aluminium, 05102018_papier_non_papier_presque_vide:0
04082025|aluminium, 05102018_papier_non_papier_tres_dense:0
04082025|aluminium, 05102018_papier_non_papier_tres_peu_dense:0
04082025|ela, 05102018_papier_non_papier_dense:0
04082025|ela, 05102018_papier_non_papier_peu_dense:0
04082025|ela, 05102018_papier_non_papier_presque_vide:0
04082025|ela, 05102018_papier_non_papier_tres_dense:0
04082025|ela, 05102018_papier_non_papier_tres_peu_dense:0
04082025|emr, 05102018_papier_non_papier_dense:0
04082025|emr, 05102018_papier_non_papier_peu_dense:0
04082025|emr, 05102018_papier_non_papier_presque_vide:0
04082025|emr, 05102018_papier_non_papier_tres_dense:0
04082025|emr, 05102018_papier_non_papier_tres_peu_dense:0
04082025|film_pedb, 05102018_papier_non_papier_dense:0
04082025|film_pedb, 05102018_papier_non_papier_peu_dense:0
04082025|film_pedb, 05102018_papier_non_papier_presque_vide:0
04082025|film_pedb, 05102018_papier_non_papier_tres_dense:0
04082025|film_pedb, 05102018_papier_non_papier_tres_peu_dense:0
04082025|flux_dev, 05102018_papier_non_papier_dense:0
04082025|flux_dev, 05102018_papier_non_papier_peu_dense:0
04082025|flux_dev, 05102018_papier_non_papier_presque_vide:0
04082025|flux_dev, 05102018_papier_non_papier_tres_dense:0
04082025|flux_dev, 05102018_papier_non_papier_tres_peu_dense:0
04082025|jrm, 05102018_papier_non_papier_dense:0
04082025|jrm, 05102018_papier_non_papier_peu_dense:0
04082025|jrm, 05102018_papier_non_papier_presque_vide:0
04082025|jrm, 05102018_papier_non_papier_tres_dense:0
04082025|jrm, 05102018_papier_non_papier_tres_peu_dense:0
04082025|pcm, 05102018_papier_non_papier_dense:0
04082025|pcm, 05102018_papier_non_papier_peu_dense:0
04082025|pcm, 05102018_papier_non_papier_presque_vide:0
04082025|pcm, 05102018_papier_non_papier_tres_dense:0
04082025|pcm, 05102018_papier_non_papier_tres_peu_dense:0
04082025|pcnc, 05102018_papier_non_papier_dense:0
04082025|pcnc, 05102018_papier_non_papier_peu_dense:0
04082025|pcnc, 05102018_papier_non_papier_presque_vide:0
04082025|pcnc, 05102018_papier_non_papier_tres_dense:0
04082025|pcnc, 05102018_papier_non_papier_tres_peu_dense:0
04082025|pehd_pp, 05102018_papier_non_papier_dense:0
04082025|pehd_pp, 05102018_papier_non_papier_peu_dense:0
04082025|pehd_pp, 05102018_papier_non_papier_presque_vide:0
04082025|pehd_pp, 05102018_papier_non_papier_tres_dense:0
04082025|pehd_pp, 05102018_papier_non_papier_tres_peu_dense:0
04082025|pet_clair, 05102018_papier_non_papier_dense:0
04082025|pet_clair, 05102018_papier_non_papier_peu_dense:0
04082025|pet_clair, 05102018_papier_non_papier_presque_vide:0
04082025|pet_clair, 05102018_papier_non_papier_tres_dense:0
04082025|pet_clair, 05102018_papier_non_papier_tres_peu_dense:0
04082025|refus, 05102018_papier_non_papier_dense:0
04082025|refus, 05102018_papier_non_papier_peu_dense:0
04082025|refus, 05102018_papier_non_papier_presque_vide:0
04082025|refus, 05102018_papier_non_papier_tres_dense:0
04082025|refus, 05102018_papier_non_papier_tres_peu_dense:0
04082025|tapis_vide, 05102018_papier_non_papier_dense:0
04082025|tapis_vide, 05102018_papier_non_papier_peu_dense:0
04082025|tapis_vide, 05102018_papier_non_papier_presque_vide:6100.00040435791
04082025|tapis_vide, 05102018_papier_non_papier_tres_dense:0
04082025|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 !
04082025_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 918
Created to study and clean : 25631154 with name like 04082025_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 6.5125391483306885
# DISPLAY ALL COLLECTED DATA : 
{'04082025': {'nb_upload': 946, 'nb_taggue_class': 942, 'nb_taggue_densite': 942, '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 
[1375089282, 1375089279, 1375089274, 1375089270, 1375089221, 1375089220, 1375089218, 1375089216, 1375089215, 1375089211, 1375089208, 1375089205, 1375089204, 1375089059, 1375089057, 1375089055, 1375089052, 1375089048, 1375089044, 1375089026, 1375089022, 1375089018, 1375089014, 1375089002, 1375089000, 1375088998, 1375088995, 1375088993, 1375088841, 1375088839, 1375088836, 1375088832, 1375088827, 1375088801, 1375088796, 1375088791, 1375088774, 1375088772, 1375088768, 1375088764, 1375088746, 1375088741, 1375088724, 1375088720, 1375088716, 1375088623, 1375088621, 1375088619, 1375088616, 1375088613, 1375088610, 1375088247, 1375088229, 1375088228, 1375088225, 1375088222, 1375088221, 1375088050, 1375087960, 1375087959, 1375087956, 1375087935, 1375087797, 1375087791, 1375087723, 1375087721, 1375087718, 1375087715, 1375087551, 1375087549, 1375087548, 1375087547, 1375087545, 1375087542, 1375087483, 1375087482, 1375087481, 1375087477, 1375087475, 1375087471, 1375087431, 1375087430, 1375087429, 1375087427, 1375087423, 1375087419, 1375087394, 1375087391, 1375087382, 1375087288, 1375087279, 1375087276, 1375087273, 1375087219, 1375087217, 1375087215, 1375087212, 1375087210, 1375087206, 1375087112]
Looping around the photos to save general results
len do output : 1
/25624619Didn't retrieve data
.
before output type
Here is an output not treated by saveGeneral : <mtr.datou.datou_lib_object.DatouData object at 0x7f8555544b50>
Managing all output in save final without adding information in the mtr_datou_result 
('4323', None, None, None, None, None, None, None, '3431246')
('4323', '25624619', '1375089282', None, None, None, None, None, '3431246')
('4323', None, None, None, None, None, None, None, '3431246')
('4323', '25624619', '1375089279', None, None, None, None, None, '3431246')
('4323', None, None, None, None, None, None, None, '3431246')
('4323', '25624619', '1375089274', None, None, None, None, None, '3431246')
('4323', None, None, None, None, None, None, None, '3431246')
('4323', '25624619', '1375089270', None, None, None, None, None, '3431246')
('4323', None, None, None, None, None, None, None, '3431246')
('4323', '25624619', '1375089221', None, None, None, None, None, '3431246')
('4323', None, None, None, None, None, None, None, '3431246')
('4323', '25624619', '1375089220', None, None, None, None, None, '3431246')
('4323', None, None, None, None, None, None, None, '3431246')
('4323', '25624619', '1375089218', None, None, None, None, None, '3431246')
('4323', None, None, None, None, None, None, None, '3431246')
('4323', '25624619', '1375089216', None, None, None, None, None, '3431246')
('4323', None, None, None, None, None, None, None, '3431246')
('4323', '25624619', '1375089215', None, None, None, None, None, '3431246')
('4323', None, None, None, None, None, None, None, '3431246')
('4323', '25624619', '1375089211', None, None, None, None, None, '3431246')
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begin to insert list_values into mtr_datou_result : 
length of list_values in save_final : 101
time used for this insertion : 0.03757810592651367
 save_final 

save missing photos in datou_result :

time spend for datou_step_exec : 7.257889986038208
time spend to save output : 0.038445472717285156
total time spend for step 1 : 7.296335458755493

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 
1.55user 0.52system 0:09.87elapsed 21%CPU (0avgtext+0avgdata 107032maxresident)k
0inputs+232outputs (0major+50195minor)pagefaults 0swaps