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 : 3752247
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 : ['3551505'] with mtr_portfolio_ids : ['26044711'] and first list_photo_ids : []
new path :  /proc/3752247/
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 : 0.06780719757080078
About to test input to load 
Calling datou_exec

Inside datou_exec : verbose : 0
number of steps :  1
step1:split_time_score
Mon Aug 18 14:25:26 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'}]
(('15', 19), ('14', 14), ('13', 95), ('00', 318), ('16', 94), ('17', 92), ('12', 24), ('18', 220), ('19', 84), ('20', 12), ('11', 10))
ERROR counted https://github.com/fotonower/Velours/issues/663#issuecomment-421136223 {1: 976}
17082025 26044711 Nombre de photos uploadées : 982 / 23040 (4%)
17082025 26044711 Nombre de photos taguées (types de déchets): 976 / 982 (99%)
17082025 26044711 Nombre de photos taguées (volume) : 976 / 982 (99%)
 elapsed_time : load_data_split_time_score 1.6689300537109375e-06
 elapsed_time : order_list_meta_photo_and_scores 0.0003581047058105469
?????? elapsed_time : fill_and_build_computed_from_old_data 0.06792521476745605
Catched exception !
Connect or reconnect !
Catched exception !
Connect or reconnect !
 elapsed_time : insert_dashboard_record_day_entry 0.20125102996826172

 Creating list_photo_total 

 elapsed_time : select_descriptors 0.024963855743408203
17082025 26044711 Nombre de photos avec descriptors (type 6032) : 0 / 6 (0%)
Missing descriptors for photos 0 and 1377671178
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Missing descriptors for photos 1377685905 and 1377685943
Missing descriptors for photos 1377685943 and 1377685977
Missing descriptors for photos 1377685977 and 1377685999
Missing descriptors for photos 1377685999 and 1377686023
Missing descriptors for photos 1377686023 and 1377686053
Missing descriptors for photos 1377686053 and 1377686100
Missing descriptors for photos 1377686100 and 1377686127
Missing descriptors for photos 1377686127 and 1377685902
Missing descriptors for photos 1377685902 and 1377685941
Missing descriptors for photos 1377685941 and 1377685975
Missing descriptors for photos 1377685975 and 1377685997
Missing descriptors for photos 1377685997 and 1377686022
Missing descriptors for photos 1377686022 and 1377686051
Missing descriptors for photos 1377686051 and 1377686099
Missing descriptors for photos 1377686099 and 1377686125
Missing descriptors for photos 1377686125 and 1377686579
Missing descriptors for photos 1377686579 and 1377686613
Missing descriptors for photos 1377686613 and 1377687814
Missing descriptors for photos 1377687814 and 1377688290
Missing descriptors for photos 1377688290 and 1377689027
Missing descriptors for photos 1377689027 and 1377686577
Missing descriptors for photos 1377686577 and 1377686610
Missing descriptors for photos 1377686610 and 1377687720
Missing descriptors for photos 1377687720 and 1377688211
Missing descriptors for photos 1377688211 and 1377689013
Missing descriptors for photos 1377689013 and 1377689026
Missing descriptors for photos 1377689026 and 1377687652
Missing descriptors for photos 1377687652 and 1377688148
Missing descriptors for photos 1377688148 and 1377689010
Missing descriptors for photos 1377689010 and 1377689025
Missing descriptors for photos 1377689025 and 1377689152
Missing descriptors for photos 1377689152 and 1377689181
Missing descriptors for photos 1377689181 and 1377689200
Missing descriptors for photos 1377689200 and 1377689406
Missing descriptors for photos 1377689406 and 1377689451
Missing descriptors for photos 1377689451 and 1377689495
Missing descriptors for photos 1377689495 and 1377689514
Missing descriptors for photos 1377689514 and 1377689534

 17082025 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 : 982
time used for this insertion : 0.2066669464111328
  photos_removed : len 0
 elapsed_time : remove_photo_duplicate 0.26937294006347656

 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 
ERROR !
ERROR !
ERROR !
ERROR !
ERROR !
ERROR !
 elapsed_time : count_sum_diff_and_build_graph 0.008967876434326172
 Total photos : 982
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 Total photos : 982
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 0.032097578048706055
 elapsed_time : compute_and_correct_tag_with_moyenne_mobile 2.6226043701171875e-06
today str has not a value , we define it as the date of the first image
todaystr_first : 17082025
attention , prev_timestamp is 0 , we do nothing
oooooooooooooooooooooooooooooooooo*oooooooooooooooooooooooooooooooo*ooooooooooooooooooooooo*oo*ooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooo*oooooooooooooooooooooooooooooUnexpected type of data : ({'photo_id': 1377689539, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/8/17/227d27a353166a3c80f014b71d77fd73.jpg', 'username': None, 'uploaded_at': 1755455459, 'text': 'image_17082025_00_11_55_10266.jpg', 'time': 1755389515.010266}, 'different')
ooooooooooooooooooUnexpected type of data : ({'photo_id': 1377689541, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/8/17/36de692643c9f96607a1fd708cc0c324.jpg', 'username': None, 'uploaded_at': 1755455459, 'text': 'image_17082025_00_12_05_10227.jpg', 'time': 1755389525.010227}, 'different')
oooooooooooooUnexpected type of data : ({'photo_id': 1377689547, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/8/17/2a53be58f96ae1e0e068b3cbcc7c5bae.jpg', 'username': None, 'uploaded_at': 1755455459, 'text': 'image_17082025_00_12_25_10326.jpg', 'time': 1755389545.010326}, 'different')
ooooooooUnexpected type of data : ({'photo_id': 1377689550, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/8/17/f10db9b4172b4d7f6f4f60182f412dc4.jpg', 'username': None, 'uploaded_at': 1755455459, 'text': 'image_17082025_00_12_35_10266.jpg', 'time': 1755389555.010266}, 'different')
oUnexpected type of data : ({'photo_id': 1377689554, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/8/17/c7f4f7cde148ddf45f0507b2f7e97ea3.jpg', 'username': None, 'uploaded_at': 1755455459, 'text': 'image_17082025_00_12_45_10206.jpg', 'time': 1755389565.010206}, 'different')
Unexpected type of data : ({'photo_id': 1377689558, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/8/17/617888e6efdc0c13d3942d26cd9eceeb.jpg', 'username': None, 'uploaded_at': 1755455459, 'text': 'image_17082025_00_12_55_10209.jpg', 'time': 1755389575.010209}, 'different')
****o*ooo****oo*oo*oooo*ooooooo****o**oooo*oooooo*ooooooooooooo*ooooooo*oooooooooooooooooooooo*oo*ooooooooooo*oooooooooo*o*oo*oo*oo*ooo*ooo************oooooo**ooooo*ooooo*ooo*oo*ooo*o*ooooooo*o*ooooooo**ooooooooooooooooooooooooooooo*oooooooooo*ooooooo*ooo*ooo**ooo*oo**oo*o*ooooooooo*oooo*oooooooo*oooooooooo*o*oooooo*o*ooo*oooooooooo**oooo*ooooooooooooooooooooooooooooooooooooooooooooooooooooooooooo*oooooooo*ooo**oooo*oo*o*oo*oo*ooo*ooo*ooo*oooo*oooooooooo*oooooooooo*ooooooooo*oooooooooooooo*oo*ooo*oooooooooooooo*o*ooooooooooo*oooo*o*ooooooooo**ooo*oooo*ooooooooooooooooooooooooooooooo*oooo*ooooo*ooo*oo*ooooCount Time bigger than 30s : 115
#Number Photos for regression : 
{'17082025': {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: 5187.001070976257, 2107751016: 0, 2107751017: 0}}}
17082025|aluminium, 05102018_papier_non_papier_dense:0
17082025|aluminium, 05102018_papier_non_papier_peu_dense:0
17082025|aluminium, 05102018_papier_non_papier_presque_vide:0
17082025|aluminium, 05102018_papier_non_papier_tres_dense:0
17082025|aluminium, 05102018_papier_non_papier_tres_peu_dense:0
17082025|ela, 05102018_papier_non_papier_dense:0
17082025|ela, 05102018_papier_non_papier_peu_dense:0
17082025|ela, 05102018_papier_non_papier_presque_vide:0
17082025|ela, 05102018_papier_non_papier_tres_dense:0
17082025|ela, 05102018_papier_non_papier_tres_peu_dense:0
17082025|emr, 05102018_papier_non_papier_dense:0
17082025|emr, 05102018_papier_non_papier_peu_dense:0
17082025|emr, 05102018_papier_non_papier_presque_vide:0
17082025|emr, 05102018_papier_non_papier_tres_dense:0
17082025|emr, 05102018_papier_non_papier_tres_peu_dense:0
17082025|film_pedb, 05102018_papier_non_papier_dense:0
17082025|film_pedb, 05102018_papier_non_papier_peu_dense:0
17082025|film_pedb, 05102018_papier_non_papier_presque_vide:0
17082025|film_pedb, 05102018_papier_non_papier_tres_dense:0
17082025|film_pedb, 05102018_papier_non_papier_tres_peu_dense:0
17082025|flux_dev, 05102018_papier_non_papier_dense:0
17082025|flux_dev, 05102018_papier_non_papier_peu_dense:0
17082025|flux_dev, 05102018_papier_non_papier_presque_vide:0
17082025|flux_dev, 05102018_papier_non_papier_tres_dense:0
17082025|flux_dev, 05102018_papier_non_papier_tres_peu_dense:0
17082025|jrm, 05102018_papier_non_papier_dense:0
17082025|jrm, 05102018_papier_non_papier_peu_dense:0
17082025|jrm, 05102018_papier_non_papier_presque_vide:0
17082025|jrm, 05102018_papier_non_papier_tres_dense:0
17082025|jrm, 05102018_papier_non_papier_tres_peu_dense:0
17082025|pcm, 05102018_papier_non_papier_dense:0
17082025|pcm, 05102018_papier_non_papier_peu_dense:0
17082025|pcm, 05102018_papier_non_papier_presque_vide:0
17082025|pcm, 05102018_papier_non_papier_tres_dense:0
17082025|pcm, 05102018_papier_non_papier_tres_peu_dense:0
17082025|pcnc, 05102018_papier_non_papier_dense:0
17082025|pcnc, 05102018_papier_non_papier_peu_dense:0
17082025|pcnc, 05102018_papier_non_papier_presque_vide:0
17082025|pcnc, 05102018_papier_non_papier_tres_dense:0
17082025|pcnc, 05102018_papier_non_papier_tres_peu_dense:0
17082025|pehd_pp, 05102018_papier_non_papier_dense:0
17082025|pehd_pp, 05102018_papier_non_papier_peu_dense:0
17082025|pehd_pp, 05102018_papier_non_papier_presque_vide:0
17082025|pehd_pp, 05102018_papier_non_papier_tres_dense:0
17082025|pehd_pp, 05102018_papier_non_papier_tres_peu_dense:0
17082025|pet_clair, 05102018_papier_non_papier_dense:0
17082025|pet_clair, 05102018_papier_non_papier_peu_dense:0
17082025|pet_clair, 05102018_papier_non_papier_presque_vide:0
17082025|pet_clair, 05102018_papier_non_papier_tres_dense:0
17082025|pet_clair, 05102018_papier_non_papier_tres_peu_dense:0
17082025|refus, 05102018_papier_non_papier_dense:0
17082025|refus, 05102018_papier_non_papier_peu_dense:0
17082025|refus, 05102018_papier_non_papier_presque_vide:0
17082025|refus, 05102018_papier_non_papier_tres_dense:0
17082025|refus, 05102018_papier_non_papier_tres_peu_dense:0
17082025|tapis_vide, 05102018_papier_non_papier_dense:0
17082025|tapis_vide, 05102018_papier_non_papier_peu_dense:0
17082025|tapis_vide, 05102018_papier_non_papier_presque_vide:5187.001070976257
17082025|tapis_vide, 05102018_papier_non_papier_tres_dense:0
17082025|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 !
17082025_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 920
Created to study and clean : 26046413 with name like 17082025_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 4.713287591934204
# DISPLAY ALL COLLECTED DATA : 
{'17082025': {'nb_upload': 982, 'nb_taggue_class': 976, 'nb_taggue_densite': 976, '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 
[1377689558, 1377689554, 1377689550, 1377689547, 1377689541, 1377689539, 1377689538, 1377689534, 1377689514, 1377689503, 1377689498, 1377689495, 1377689489, 1377689487, 1377689465, 1377689453, 1377689451, 1377689417, 1377689415, 1377689414, 1377689411, 1377689409, 1377689406, 1377689398, 1377689396, 1377689395, 1377689394, 1377689377, 1377689375, 1377689373, 1377689364, 1377689362, 1377689360, 1377689337, 1377689335, 1377689333, 1377689331, 1377689328, 1377689326, 1377689297, 1377689296, 1377689288, 1377689286, 1377689285, 1377689282, 1377689273, 1377689272, 1377689271, 1377689241, 1377689235, 1377689232, 1377689229, 1377689227, 1377689209, 1377689206, 1377689204, 1377689202, 1377689201, 1377689200, 1377689199, 1377689196, 1377689187, 1377689184, 1377689181, 1377689152, 1377689135, 1377689133, 1377689131, 1377689127, 1377689125, 1377689102, 1377689101, 1377689087, 1377689084, 1377689081, 1377689066, 1377689060, 1377689058, 1377689055, 1377689053, 1377689034, 1377689031, 1377689029, 1377689027, 1377689026, 1377689025, 1377689013, 1377689010, 1377689004, 1377688992, 1377688977, 1377688955, 1377688639, 1377688637, 1377688632, 1377688596, 1377688557, 1377688290, 1377688211, 1377688148]
Looping around the photos to save general results
len do output : 1
/26044711Didn't retrieve data
.
before output type
Here is an output not treated by saveGeneral : <mtr.datou.datou_lib_object.DatouData object at 0x7f62d4f26be0>
Managing all output in save final without adding information in the mtr_datou_result 
('4323', None, None, None, None, None, None, None, '3551505')
('4323', '26044711', '1377689558', None, None, None, None, None, '3551505')
('4323', None, None, None, None, None, None, None, '3551505')
('4323', '26044711', '1377689554', None, None, None, None, None, '3551505')
('4323', None, None, None, None, None, None, None, '3551505')
('4323', '26044711', '1377689550', None, None, None, None, None, '3551505')
('4323', None, None, None, None, None, None, None, '3551505')
('4323', '26044711', '1377689547', None, None, None, None, None, '3551505')
('4323', None, None, None, None, None, None, None, '3551505')
('4323', '26044711', '1377689541', None, None, None, None, None, '3551505')
('4323', None, None, None, None, None, None, None, '3551505')
('4323', '26044711', '1377689539', None, None, None, None, None, '3551505')
('4323', None, None, None, None, None, None, None, '3551505')
('4323', '26044711', '1377689538', None, None, None, None, None, '3551505')
('4323', None, None, None, None, None, None, None, '3551505')
('4323', '26044711', '1377689534', None, None, None, None, None, '3551505')
('4323', None, None, None, None, None, None, None, '3551505')
('4323', '26044711', '1377689514', None, None, None, None, None, '3551505')
('4323', None, None, None, None, None, None, None, '3551505')
('4323', '26044711', '1377689503', None, None, None, None, None, '3551505')
('4323', None, None, None, None, None, None, None, '3551505')
('4323', '26044711', '1377689498', None, None, None, None, None, '3551505')
('4323', None, None, None, None, None, None, None, '3551505')
('4323', '26044711', '1377689495', None, None, None, None, None, '3551505')
('4323', None, None, None, None, None, None, None, '3551505')
('4323', '26044711', '1377689489', None, None, None, None, None, '3551505')
('4323', None, None, None, None, None, None, None, '3551505')
('4323', '26044711', '1377689487', None, None, None, None, None, '3551505')
('4323', None, None, None, None, None, None, None, '3551505')
('4323', '26044711', '1377689465', None, None, None, None, None, '3551505')
('4323', None, None, None, None, None, None, None, '3551505')
('4323', '26044711', '1377689453', None, None, None, None, None, '3551505')
('4323', None, None, None, None, None, None, None, '3551505')
('4323', '26044711', '1377689451', None, None, None, None, None, '3551505')
('4323', None, None, None, None, None, None, None, '3551505')
('4323', '26044711', '1377689417', None, None, None, None, None, '3551505')
('4323', None, None, None, None, None, None, None, '3551505')
('4323', '26044711', '1377689415', None, None, None, None, None, '3551505')
('4323', None, None, None, None, None, None, None, '3551505')
('4323', '26044711', '1377689414', None, None, None, None, None, '3551505')
('4323', None, None, None, None, None, None, None, '3551505')
('4323', '26044711', '1377689411', None, None, None, None, None, '3551505')
('4323', None, None, None, None, None, None, None, '3551505')
('4323', '26044711', '1377689409', None, None, None, None, None, '3551505')
('4323', None, None, None, None, None, None, None, '3551505')
('4323', '26044711', '1377689406', None, None, None, None, None, '3551505')
('4323', None, None, None, None, None, None, None, '3551505')
('4323', '26044711', '1377689398', None, None, None, None, None, '3551505')
('4323', None, None, None, None, None, None, None, '3551505')
('4323', '26044711', '1377689396', None, None, None, None, None, '3551505')
('4323', None, None, None, None, None, None, None, '3551505')
('4323', '26044711', '1377689395', None, None, None, None, None, '3551505')
('4323', None, None, None, None, None, None, None, '3551505')
('4323', '26044711', '1377689394', None, None, None, None, None, '3551505')
('4323', None, None, None, None, None, None, None, '3551505')
('4323', '26044711', '1377689377', None, None, None, None, None, '3551505')
('4323', None, None, None, None, None, None, None, '3551505')
('4323', '26044711', '1377689375', None, None, None, None, None, '3551505')
('4323', None, None, None, None, None, None, None, '3551505')
('4323', '26044711', '1377689373', None, None, None, None, None, '3551505')
('4323', None, None, None, None, None, None, None, '3551505')
('4323', '26044711', '1377689364', None, None, None, None, None, '3551505')
('4323', None, None, None, None, None, None, None, '3551505')
('4323', '26044711', '1377689362', None, None, None, None, None, '3551505')
('4323', None, None, None, None, None, None, None, '3551505')
('4323', '26044711', '1377689360', None, None, None, None, None, '3551505')
('4323', None, None, None, None, None, None, None, '3551505')
('4323', '26044711', '1377689337', None, None, None, None, None, '3551505')
('4323', None, None, None, None, None, None, None, '3551505')
('4323', '26044711', '1377689335', None, None, None, None, None, '3551505')
('4323', None, None, None, None, None, None, None, '3551505')
('4323', '26044711', '1377689333', None, None, None, None, None, '3551505')
('4323', None, None, None, None, None, None, None, '3551505')
('4323', '26044711', '1377689331', None, None, None, None, None, '3551505')
('4323', None, None, None, None, None, None, None, '3551505')
('4323', '26044711', '1377689328', None, None, None, None, None, '3551505')
('4323', None, None, None, None, None, None, None, '3551505')
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('4323', None, None, None, None, None, None, None, '3551505')
('4323', '26044711', '1377689297', None, None, None, None, None, '3551505')
('4323', None, None, None, None, None, None, None, '3551505')
('4323', '26044711', '1377689296', None, None, None, None, None, '3551505')
('4323', None, None, None, None, None, None, None, '3551505')
('4323', '26044711', '1377689288', None, None, None, None, None, '3551505')
('4323', None, None, None, None, None, None, None, '3551505')
('4323', '26044711', '1377689286', None, None, None, None, None, '3551505')
('4323', None, None, None, None, None, None, None, '3551505')
('4323', '26044711', '1377689285', None, None, None, None, None, '3551505')
('4323', None, None, None, None, None, None, None, '3551505')
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('4323', None, None, None, None, None, None, None, '3551505')
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('4323', None, None, None, None, None, None, None, '3551505')
('4323', '26044711', '1377689272', None, None, None, None, None, '3551505')
('4323', None, None, None, None, None, None, None, '3551505')
('4323', '26044711', '1377689271', None, None, None, None, None, '3551505')
('4323', None, None, None, None, None, None, None, '3551505')
('4323', '26044711', '1377689241', None, None, None, None, None, '3551505')
('4323', None, None, None, None, None, None, None, '3551505')
('4323', '26044711', '1377689235', None, None, None, None, None, '3551505')
('4323', None, None, None, None, None, None, None, '3551505')
('4323', '26044711', '1377689232', None, None, None, None, None, '3551505')
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('4323', None, None, None, None, None, None, None, '3551505')
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('4323', None, None, None, None, None, None, None, '3551505')
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('4323', None, None, None, None, None, None, None, '3551505')
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('4323', None, None, None, None, None, None, None, '3551505')
('4323', '26044711', '1377689102', None, None, None, None, None, '3551505')
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('4323', None, None, None, None, None, None, None, '3551505')
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('4323', None, None, None, None, None, None, None, '3551505')
('4323', '26044711', '1377689029', None, None, None, None, None, '3551505')
('4323', None, None, None, None, None, None, None, '3551505')
('4323', '26044711', '1377689027', None, None, None, None, None, '3551505')
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('4323', None, None, None, None, None, None, None, '3551505')
('4323', '26044711', '1377689025', None, None, None, None, None, '3551505')
('4323', None, None, None, None, None, None, None, '3551505')
('4323', '26044711', '1377689013', None, None, None, None, None, '3551505')
('4323', None, None, None, None, None, None, None, '3551505')
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('4323', None, None, None, None, None, None, None, '3551505')
('4323', '26044711', '1377689004', None, None, None, None, None, '3551505')
('4323', None, None, None, None, None, None, None, '3551505')
('4323', '26044711', '1377688992', None, None, None, None, None, '3551505')
('4323', None, None, None, None, None, None, None, '3551505')
('4323', '26044711', '1377688977', None, None, None, None, None, '3551505')
('4323', None, None, None, None, None, None, None, '3551505')
('4323', '26044711', '1377688955', None, None, None, None, None, '3551505')
('4323', None, None, None, None, None, None, None, '3551505')
('4323', '26044711', '1377688639', None, None, None, None, None, '3551505')
('4323', None, None, None, None, None, None, None, '3551505')
('4323', '26044711', '1377688637', None, None, None, None, None, '3551505')
('4323', None, None, None, None, None, None, None, '3551505')
('4323', '26044711', '1377688632', None, None, None, None, None, '3551505')
('4323', None, None, None, None, None, None, None, '3551505')
('4323', '26044711', '1377688596', None, None, None, None, None, '3551505')
('4323', None, None, None, None, None, None, None, '3551505')
('4323', '26044711', '1377688557', None, None, None, None, None, '3551505')
('4323', None, None, None, None, None, None, None, '3551505')
('4323', '26044711', '1377688290', None, None, None, None, None, '3551505')
('4323', None, None, None, None, None, None, None, '3551505')
('4323', '26044711', '1377688211', None, None, None, None, None, '3551505')
('4323', None, None, None, None, None, None, None, '3551505')
('4323', '26044711', '1377688148', None, None, None, None, None, '3551505')


begin to insert list_values into mtr_datou_result : 
length of list_values in save_final : 101
time used for this insertion : 0.03451251983642578
 save_final 

save missing photos in datou_result :

time spend for datou_step_exec : 5.514150619506836
time spend to save output : 0.03533434867858887
total time spend for step 1 : 5.549484968185425

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 
1.46user 0.67system 0:07.67elapsed 27%CPU (0avgtext+0avgdata 107264maxresident)k
0inputs+240outputs (0major+50415minor)pagefaults 0swaps