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 : 2319141
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
list_input_json: {}
Current got : datou_id : 4876, datou_cur_ids : ['2568228'] with mtr_portfolio_ids : ['20353393'] and first list_photo_ids : []
new path :  /proc/2319141/
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 , 
we have missing 0 photos in the step downloads : 
photo missing : []
try to delete the photos missing in DB
time to download the photos : 0.07194828987121582
About to test input to load 
Calling datou_exec

Inside datou_exec : verbose : 0
number of steps :  1
step1:split_time_score
Sat Feb  8 05:32:28 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': 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', 12), ('01', 4), ('02', 5), ('03', 15), ('04', 7))
ERROR counted https://github.com/fotonower/Velours/issues/663#issuecomment-421136223 {1: 12}
08022025 20353393 Nombre de photos uploadées : 15 / 23040 (0%)
08022025 20353393 Nombre de photos taguées (types de déchets): 12 / 15 (80%)
08022025 20353393 Nombre de photos taguées (volume) : 12 / 15 (80%)
 elapsed_time : load_data_split_time_score 1.430511474609375e-06
 elapsed_time : order_list_meta_photo_and_scores 9.298324584960938e-06
???????????? elapsed_time : fill_and_build_computed_from_old_data 0.0005753040313720703
 elapsed_time : insert_dashboard_record_day_entry 0.02338409423828125

 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 


 elapsed_time : list_photo_by_hashtags 0.006305694580078125
  photos_removed : len 0
 elapsed_time : load_duplicate_info 0.3942544460296631
***** BEGIN SPLIT TIME *****
True
1738972800.0
`1738981844.010139 1738981800.0
`1738982304.010136 1738981800.0
`1738982344.010164 1738981800.0
`1738982804.010136 1738982700.0
`1738983054.010147 1738982700.0
`1738983124.009125 1738982700.0
`1738983144.010139 1738982700.0
`1738983304.010148 1738982700.0
`1738983753.009134 1738983600.0
`1738983874.010144 1738983600.0
`1738984144.010154 1738983600.0
`1738984263.010153 1738983600.0
`1738984423.01014 1738983600.0
`1738984973.010137 1738984500.0
`1738985083.00913 1738984500.0
list printed:  [[0, 1, 2], [3, 4, 5, 6, 7], [8, 9, 10, 11, 12], [13, 14]]
forced_hashtag:  JRM
force hashtag to JRM
 elapsed_time : SPLIT_TIME 0.009157657623291016
***** END SPLIT TIME *****
 NUMBER BATCH : 4
 list_ponderation used : [1e-05, 1e-05, 1e-05, 1e-05, 1e-05] , list_hashtag_class_create_as_list : ['jrm']
We have rejected 15 photos because of the batch_size condition !
 NUMBER BATCH list_of_portfolios_to_create : 0
 elapsed_time : count_nb_balles_and_create_portfolio 0.06129789352416992
# DISPLAY ALL COLLECTED DATA : 
{'08022025': {'nb_upload': 15, 'nb_taggue_class': 12, 'nb_taggue_densite': 12}}
Inside saveOutput : final : True verbose : 0
 saveOutput not yet implemented for datou_step.type : split_time_score we use saveGeneral 
[1335706009, 1335702627, 1335701796, 1335698305, 1335697680, 1335697165, 1335696861, 1335696137, 1335694005, 1335693772, 1335693771, 1335693745, 1335692902, 1335691770, 1335691755, 1335688796, 1335688749, 1335687968, 1335686781, 1335684728, 1335684701, 1335682381, 1335682029, 1335681949, 1335681947, 1335680931, 1335678829, 1335676811, 1335670673, 1335667736, 1335666164, 1335657353, 1335656712, 1335656060, 1335655434, 1335655392, 1335654867, 1335654865, 1335649560, 1335647312, 1335644693, 1335643843, 1335643828]
Looping around the photos to save general results
len do output : 1
/20353393Didn't retrieve data
.
before output type
Here is an output not treated by saveGeneral : <mtr.datou.datou_lib_object.DatouData object at 0x7f62ba7076d0>
Managing all output in save final without adding information in the mtr_datou_result 
('4876', None, None, None, None, None, None, None, '2568228')
('4876', '20353393', '1335706009', None, None, None, None, None, '2568228')
('4876', None, None, None, None, None, None, None, '2568228')
('4876', '20353393', '1335702627', None, None, None, None, None, '2568228')
('4876', None, None, None, None, None, None, None, '2568228')
('4876', '20353393', '1335701796', None, None, None, None, None, '2568228')
('4876', None, None, None, None, None, None, None, '2568228')
('4876', '20353393', '1335698305', None, None, None, None, None, '2568228')
('4876', None, None, None, None, None, None, None, '2568228')
('4876', '20353393', '1335697680', None, None, None, None, None, '2568228')
('4876', None, None, None, None, None, None, None, '2568228')
('4876', '20353393', '1335697165', None, None, None, None, None, '2568228')
('4876', None, None, None, None, None, None, None, '2568228')
('4876', '20353393', '1335696861', None, None, None, None, None, '2568228')
('4876', None, None, None, None, None, None, None, '2568228')
('4876', '20353393', '1335696137', None, None, None, None, None, '2568228')
('4876', None, None, None, None, None, None, None, '2568228')
('4876', '20353393', '1335694005', None, None, None, None, None, '2568228')
('4876', None, None, None, None, None, None, None, '2568228')
('4876', '20353393', '1335693772', None, None, None, None, None, '2568228')
('4876', None, None, None, None, None, None, None, '2568228')
('4876', '20353393', '1335693771', None, None, None, None, None, '2568228')
('4876', None, None, None, None, None, None, None, '2568228')
('4876', '20353393', '1335693745', None, None, None, None, None, '2568228')
('4876', None, None, None, None, None, None, None, '2568228')
('4876', '20353393', '1335692902', None, None, None, None, None, '2568228')
('4876', None, None, None, None, None, None, None, '2568228')
('4876', '20353393', '1335691770', None, None, None, None, None, '2568228')
('4876', None, None, None, None, None, None, None, '2568228')
('4876', '20353393', '1335691755', None, None, None, None, None, '2568228')
('4876', None, None, None, None, None, None, None, '2568228')
('4876', '20353393', '1335688796', None, None, None, None, None, '2568228')
('4876', None, None, None, None, None, None, None, '2568228')
('4876', '20353393', '1335688749', None, None, None, None, None, '2568228')
('4876', None, None, None, None, None, None, None, '2568228')
('4876', '20353393', '1335687968', None, None, None, None, None, '2568228')
('4876', None, None, None, None, None, None, None, '2568228')
('4876', '20353393', '1335686781', None, None, None, None, None, '2568228')
('4876', None, None, None, None, None, None, None, '2568228')
('4876', '20353393', '1335684728', None, None, None, None, None, '2568228')
('4876', None, None, None, None, None, None, None, '2568228')
('4876', '20353393', '1335684701', None, None, None, None, None, '2568228')
('4876', None, None, None, None, None, None, None, '2568228')
('4876', '20353393', '1335682381', None, None, None, None, None, '2568228')
('4876', None, None, None, None, None, None, None, '2568228')
('4876', '20353393', '1335682029', None, None, None, None, None, '2568228')
('4876', None, None, None, None, None, None, None, '2568228')
('4876', '20353393', '1335681949', None, None, None, None, None, '2568228')
('4876', None, None, None, None, None, None, None, '2568228')
('4876', '20353393', '1335681947', None, None, None, None, None, '2568228')
('4876', None, None, None, None, None, None, None, '2568228')
('4876', '20353393', '1335680931', None, None, None, None, None, '2568228')
('4876', None, None, None, None, None, None, None, '2568228')
('4876', '20353393', '1335678829', None, None, None, None, None, '2568228')
('4876', None, None, None, None, None, None, None, '2568228')
('4876', '20353393', '1335676811', None, None, None, None, None, '2568228')
('4876', None, None, None, None, None, None, None, '2568228')
('4876', '20353393', '1335670673', None, None, None, None, None, '2568228')
('4876', None, None, None, None, None, None, None, '2568228')
('4876', '20353393', '1335667736', None, None, None, None, None, '2568228')
('4876', None, None, None, None, None, None, None, '2568228')
('4876', '20353393', '1335666164', None, None, None, None, None, '2568228')
('4876', None, None, None, None, None, None, None, '2568228')
('4876', '20353393', '1335657353', None, None, None, None, None, '2568228')
('4876', None, None, None, None, None, None, None, '2568228')
('4876', '20353393', '1335656712', None, None, None, None, None, '2568228')
('4876', None, None, None, None, None, None, None, '2568228')
('4876', '20353393', '1335656060', None, None, None, None, None, '2568228')
('4876', None, None, None, None, None, None, None, '2568228')
('4876', '20353393', '1335655434', None, None, None, None, None, '2568228')
('4876', None, None, None, None, None, None, None, '2568228')
('4876', '20353393', '1335655392', None, None, None, None, None, '2568228')
('4876', None, None, None, None, None, None, None, '2568228')
('4876', '20353393', '1335654867', None, None, None, None, None, '2568228')
('4876', None, None, None, None, None, None, None, '2568228')
('4876', '20353393', '1335654865', None, None, None, None, None, '2568228')
('4876', None, None, None, None, None, None, None, '2568228')
('4876', '20353393', '1335649560', None, None, None, None, None, '2568228')
('4876', None, None, None, None, None, None, None, '2568228')
('4876', '20353393', '1335647312', None, None, None, None, None, '2568228')
('4876', None, None, None, None, None, None, None, '2568228')
('4876', '20353393', '1335644693', None, None, None, None, None, '2568228')
('4876', None, None, None, None, None, None, None, '2568228')
('4876', '20353393', '1335643843', None, None, None, None, None, '2568228')
('4876', None, None, None, None, None, None, None, '2568228')
('4876', '20353393', '1335643828', None, None, None, None, None, '2568228')


begin to insert list_values into mtr_datou_result : 
length of list_values in save_final : 44
time used for this insertion : 0.04207658767700195
 save_final 

save missing photos in datou_result :

time spend for datou_step_exec : 0.571678876876831
time spend to save output : 0.04250216484069824
total time spend for step 1 : 0.6141810417175293

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 
1.14user 0.49system 0:02.81elapsed 58%CPU (0avgtext+0avgdata 100628maxresident)k
0inputs+32outputs (2major+48443minor)pagefaults 0swaps