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 : 3621521
load datou : 4876
# VR 17-11-17 : to create in DB !
Here we check the datou graph and we reorder steps !
 Tree builded and cycle checked, now we need to re-order the steps ! 
We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue
We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id)
 DONE and to test : checkNoCycle !
We are managing only one step so we do not consider checkConsistencyNbInputNbOutput !
We are managing only one step so we do not consider checkConsistencyTypeOutputInput !
Unexpected type for variable list_input_json
ERROR or WARNING : can't parse json string Expecting value: line 1 column 1 (char 0)
 Tried to parse : 
None was removed should we ?
donnée sous forme de texte was removed should we ?
[ptf_id0,ptf_id1...] was removed should we ?
load thcls
load pdts
Running datou job : batch_current
 TODO datou_current to load to do maybe to take outside batchDatouExec 
no input labels
no input values
updating current state to 1
we have a portfolio with more photos than limit : 2798>1000
please execute split_portfolio.py -i 21995993 -l 1000
size over we load limit photo not treated
list_input_json: {}
Current got : datou_id : 4876, datou_cur_ids : ['2720723'] with mtr_portfolio_ids : ['21995993'] and first list_photo_ids : []
new path :  /proc/3621521/
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 : 0.03201031684875488
About to test input to load 
Calling datou_exec

Inside datou_exec : verbose : 0
number of steps :  1
step1:split_time_score
Thu Apr  3 13:12:30 2025
VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next
VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case
VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec 
VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec
begin split time score
2022-04-13 10:29:59 0
TODO : Insert select and so on
Begin split_port_in_batch_balle
thcls : [{'id': 3379, 'mtr_user_id': 31, 'name': 'learn_classif_flux_maj_generique_effnet_v2_s_02062022', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'aluminium,ela,film_pedb,flux_dev,jrm,pcm,pcnc,pehd_pp,pet_clair,refus,tapis_vide', 'svm_portfolios_learning': '5515864,5515840,5515844,5515850,6244400,6237996,6237998,5515847,5515841,5515868,5515866', 'photo_hashtag_type': 4374, 'photo_desc_type': 5680, 'type_classification': 'tf_classification2', 'hashtag_id_list': '493546845,492741797,2107760237,2107760238,495916461,560181804,1284539308,2107760239,2107755846,538914404,2107748999'}]
thcls : [{'id': 3513, 'mtr_user_id': 31, 'name': 'Rungis_amount_dechets_fall_2018_v2_tf', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': '05102018_Papier_non_papier_dense,05102018_Papier_non_papier_peu_dense,05102018_Papier_non_papier_presque_vide,05102018_Papier_non_papier_tres_dense,05102018_Papier_non_papier_tres_peu_dense', 'svm_portfolios_learning': '1108385,1108386,1108388,1108384,1108387', 'photo_hashtag_type': 4557, 'photo_desc_type': 5767, 'type_classification': 'tf_classification2', 'hashtag_id_list': '2107751013,2107751014,2107751015,2107751016,2107751017'}]
(('00', 285), ('01', 72), ('02', 269), ('03', 286), ('04', 59), ('05', 224), ('06', 288), ('07', 250), ('08', 268), ('09', 126), ('10', 323), ('11', 287), ('12', 60), ('13', 1))
ERROR counted https://github.com/fotonower/Velours/issues/663#issuecomment-421136223 {1: 2751, 2: 1}
03042025 21995993 Nombre de photos uploadées : 292 / 23040 (1%)
03042025 21995993 Nombre de photos taguées (types de déchets): 2752 / 292 (942%)
03042025 21995993 Nombre de photos taguées (volume) : 2752 / 292 (942%)
 elapsed_time : load_data_split_time_score 3.814697265625e-06
 elapsed_time : order_list_meta_photo_and_scores 0.0017075538635253906
??????? elapsed_time : fill_and_build_computed_from_old_data 0.048772335052490234
 elapsed_time : insert_dashboard_record_day_entry 0.026615381240844727

 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 


 elapsed_time : list_photo_by_hashtags 0.015144109725952148
  photos_removed : len 0
 elapsed_time : load_duplicate_info 0.011872053146362305
***** BEGIN SPLIT TIME *****
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list printed:  [[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13], [14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88], [89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161], [162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230], [231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285], [286, 287], [288], [289, 290], [291]]
forced_hashtag:  JRM
force hashtag to JRM
 elapsed_time : SPLIT_TIME 0.017287254333496094
***** END SPLIT TIME *****
 NUMBER BATCH : 9
 list_ponderation used : [1e-05, 1e-05, 1e-05, 1e-05, 1e-05] , list_hashtag_class_create_as_list : ['jrm']
result_one_balle_Type_JRM:{'day': '03042025', 'map_nb_amount': {0: 3, 1: 9, 2: 2, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 178.99898409843445, 'nb_balles_papier': 0.00014000000000000001, 'begin_time_port': 'image_03042025_11_11_54_010140m0.jpg 0.00011 for time 1, id_amount 1 this amount prod time diff : 1e-05'}
 Production hashtag (incorrect ponderation at 20-10-18) : 0.00014000000000000001
We reject this portfolio because of the condition_save_data : 2025-04-03 11:11:54.010140
result_one_balle_Type_JRM:{'day': '03042025', 'map_nb_amount': {0: 5, 1: 61, 2: 9, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 890.999981880188, 'nb_balles_papier': 0.0007500000000000013, 'begin_time_port': 'image_03042025_11_15_03_010154m0.jpg 1e-05 for time 1, id_amount 1 this amount prod time diff : 1e-05'}
 Production hashtag (incorrect ponderation at 20-10-18) : 0.0007500000000000013
We reject this portfolio because of the condition_save_data : 2025-04-03 11:15:03.010154
result_one_balle_Type_JRM:{'day': '03042025', 'map_nb_amount': {0: 6, 1: 58, 2: 9, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 889.9999849796295, 'nb_balles_papier': 0.0007300000000000013, 'begin_time_port': 'image_03042025_11_30_04_010151m0.jpg 1e-05 for time 1, id_amount 2 this amount prod time diff : 1e-05'}
 Production hashtag (incorrect ponderation at 20-10-18) : 0.0007300000000000013
We reject this portfolio because of the condition_save_data : 2025-04-03 11:30:04.010151
result_one_balle_Type_JRM:{'day': '03042025', 'map_nb_amount': {0: 2, 1: 63, 2: 3, 3: 1, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 831.0010061264038, 'nb_balles_papier': 0.0006900000000000012, 'begin_time_port': 'image_03042025_11_45_03_009132m0.jpg 1e-05 for time 1, id_amount 2 this amount prod time diff : 1e-05'}
 Production hashtag (incorrect ponderation at 20-10-18) : 0.0006900000000000012
We reject this portfolio because of the condition_save_data : 2025-04-03 11:45:03.009132
ERROR missing amount info
result_one_balle_Type_JRM:{'day': '03042025', 'map_nb_amount': {0: 1, 1: 50, 2: 3, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 650.9999539852142, 'nb_balles_papier': 0.0005400000000000008, 'begin_time_port': 'image_03042025_12_00_13_010198m0.jpg 1e-05 for time 1, id_amount 2 this amount prod time diff : 1e-05'}
 Production hashtag (incorrect ponderation at 20-10-18) : 0.0005400000000000008
We reject this portfolio because of the condition_save_data : 2025-04-03 12:00:13.010198
We have rejected 6 photos because of the batch_size condition !
 NUMBER BATCH list_of_portfolios_to_create : 0
 elapsed_time : count_nb_balles_and_create_portfolio 0.24195456504821777
# DISPLAY ALL COLLECTED DATA : 
{'03042025': {'nb_upload': 292, 'nb_taggue_class': 2752, 'nb_taggue_densite': 2752}}
Inside saveOutput : final : True verbose : 0
 saveOutput not yet implemented for datou_step.type : split_time_score we use saveGeneral 
[1349811240, 1349805627, 1349805095, 1349804775, 1349803603, 1349802920, 1349802098, 1349800847, 1349800772, 1349800750, 1349800728, 1349800705, 1349800689, 1349800681, 1349800187, 1349800146, 1349800113, 1349800070, 1349799690, 1349799674, 1349799668, 1349799662, 1349799657, 1349799611, 1349799607, 1349799600, 1349799554, 1349799517, 1349799490, 1349799177, 1349799149, 1349799121, 1349799097, 1349798864, 1349798833, 1349798807, 1349798771, 1349798736, 1349798444, 1349798419, 1349798377, 1349798326, 1349798281, 1349798250, 1349797860, 1349797822, 1349797791, 1349797695, 1349797657, 1349797651, 1349797614, 1349797543, 1349797516, 1349797181, 1349797149, 1349797122, 1349797077, 1349796797, 1349796751, 1349796711, 1349796602, 1349796563, 1349796208, 1349796176, 1349796140, 1349796106, 1349796095, 1349796078, 1349795344, 1349795341, 1349795337, 1349795214, 1349795210, 1349795207, 1349795205, 1349795203, 1349795167, 1349795164, 1349795162, 1349795160, 1349795149, 1349795107, 1349795104, 1349795101, 1349795098, 1349795095, 1349795093, 1349795052, 1349795044, 1349795028, 1349795010, 1349794812, 1349794807, 1349794802, 1349794798, 1349794793, 1349794790, 1349794753, 1349794746, 1349794733]
Looping around the photos to save general results
len do output : 1
/21995993Didn't retrieve data
.
before output type
Here is an output not treated by saveGeneral : <mtr.datou.datou_lib_object.DatouData object at 0x7f71094bdc40>
Managing all output in save final without adding information in the mtr_datou_result 
('4876', None, None, None, None, None, None, None, '2720723')
('4876', '21995993', '1349811240', None, None, None, None, None, '2720723')
('4876', None, None, None, None, None, None, None, '2720723')
('4876', '21995993', '1349805627', None, None, None, None, None, '2720723')
('4876', None, None, None, None, None, None, None, '2720723')
('4876', '21995993', '1349805095', None, None, None, None, None, '2720723')
('4876', None, None, None, None, None, None, None, '2720723')
('4876', '21995993', '1349804775', None, None, None, None, None, '2720723')
('4876', None, None, None, None, None, None, None, '2720723')
('4876', '21995993', '1349803603', None, None, None, None, None, '2720723')
('4876', None, None, None, None, None, None, None, '2720723')
('4876', '21995993', '1349802920', None, None, None, None, None, '2720723')
('4876', None, None, None, None, None, None, None, '2720723')
('4876', '21995993', '1349802098', None, None, None, None, None, '2720723')
('4876', None, None, None, None, None, None, None, '2720723')
('4876', '21995993', '1349800847', None, None, None, None, None, '2720723')
('4876', None, None, None, None, None, None, None, '2720723')
('4876', '21995993', '1349800772', None, None, None, None, None, '2720723')
('4876', None, None, None, None, None, None, None, '2720723')
('4876', '21995993', '1349800750', None, None, None, None, None, '2720723')
('4876', None, None, None, None, None, None, None, '2720723')
('4876', '21995993', '1349800728', None, None, None, None, None, '2720723')
('4876', None, None, None, None, None, None, None, '2720723')
('4876', '21995993', '1349800705', None, None, None, None, None, '2720723')
('4876', None, None, None, None, None, None, None, '2720723')
('4876', '21995993', '1349800689', None, None, None, None, None, '2720723')
('4876', None, None, None, None, None, None, None, '2720723')
('4876', '21995993', '1349800681', None, None, None, None, None, '2720723')
('4876', None, None, None, None, None, None, None, '2720723')
('4876', '21995993', '1349800187', None, None, None, None, None, '2720723')
('4876', None, None, None, None, None, None, None, '2720723')
('4876', '21995993', '1349800146', None, None, None, None, None, '2720723')
('4876', None, None, None, None, None, None, None, '2720723')
('4876', '21995993', '1349800113', None, None, None, None, None, '2720723')
('4876', None, None, None, None, None, None, None, '2720723')
('4876', '21995993', '1349800070', None, None, None, None, None, '2720723')
('4876', None, None, None, None, None, None, None, '2720723')
('4876', '21995993', '1349799690', None, None, None, None, None, '2720723')
('4876', None, None, None, None, None, None, None, '2720723')
('4876', '21995993', '1349799674', None, None, None, None, None, '2720723')
('4876', None, None, None, None, None, None, None, '2720723')
('4876', '21995993', '1349799668', None, None, None, None, None, '2720723')
('4876', None, None, None, None, None, None, None, '2720723')
('4876', '21995993', '1349799662', None, None, None, None, None, '2720723')
('4876', None, None, None, None, None, None, None, '2720723')
('4876', '21995993', '1349799657', None, None, None, None, None, '2720723')
('4876', None, None, None, None, None, None, None, '2720723')
('4876', '21995993', '1349799611', None, None, None, None, None, '2720723')
('4876', None, None, None, None, None, None, None, '2720723')
('4876', '21995993', '1349799607', None, None, None, None, None, '2720723')
('4876', None, None, None, None, None, None, None, '2720723')
('4876', '21995993', '1349799600', None, None, None, None, None, '2720723')
('4876', None, None, None, None, None, None, None, '2720723')
('4876', '21995993', '1349799554', None, None, None, None, None, '2720723')
('4876', None, None, None, None, None, None, None, '2720723')
('4876', '21995993', '1349799517', None, None, None, None, None, '2720723')
('4876', None, None, None, None, None, None, None, '2720723')
('4876', '21995993', '1349799490', None, None, None, None, None, '2720723')
('4876', None, None, None, None, None, None, None, '2720723')
('4876', '21995993', '1349799177', None, None, None, None, None, '2720723')
('4876', None, None, None, None, None, None, None, '2720723')
('4876', '21995993', '1349799149', None, None, None, None, None, '2720723')
('4876', None, None, None, None, None, None, None, '2720723')
('4876', '21995993', '1349799121', None, None, None, None, None, '2720723')
('4876', None, None, None, None, None, None, None, '2720723')
('4876', '21995993', '1349799097', None, None, None, None, None, '2720723')
('4876', None, None, None, None, None, None, None, '2720723')
('4876', '21995993', '1349798864', None, None, None, None, None, '2720723')
('4876', None, None, None, None, None, None, None, '2720723')
('4876', '21995993', '1349798833', None, None, None, None, None, '2720723')
('4876', None, None, None, None, None, None, None, '2720723')
('4876', '21995993', '1349798807', None, None, None, None, None, '2720723')
('4876', None, None, None, None, None, None, None, '2720723')
('4876', '21995993', '1349798771', None, None, None, None, None, '2720723')
('4876', None, None, None, None, None, None, None, '2720723')
('4876', '21995993', '1349798736', None, None, None, None, None, '2720723')
('4876', None, None, None, None, None, None, None, '2720723')
('4876', '21995993', '1349798444', None, None, None, None, None, '2720723')
('4876', None, None, None, None, None, None, None, '2720723')
('4876', '21995993', '1349798419', None, None, None, None, None, '2720723')
('4876', None, None, None, None, None, None, None, '2720723')
('4876', '21995993', '1349798377', None, None, None, None, None, '2720723')
('4876', None, None, None, None, None, None, None, '2720723')
('4876', '21995993', '1349798326', None, None, None, None, None, '2720723')
('4876', None, None, None, None, None, None, None, '2720723')
('4876', '21995993', '1349798281', None, None, None, None, None, '2720723')
('4876', None, None, None, None, None, None, None, '2720723')
('4876', '21995993', '1349798250', None, None, None, None, None, '2720723')
('4876', None, None, None, None, None, None, None, '2720723')
('4876', '21995993', '1349797860', None, None, None, None, None, '2720723')
('4876', None, None, None, None, None, None, None, '2720723')
('4876', '21995993', '1349797822', None, None, None, None, None, '2720723')
('4876', None, None, None, None, None, None, None, '2720723')
('4876', '21995993', '1349797791', None, None, None, None, None, '2720723')
('4876', None, None, None, None, None, None, None, '2720723')
('4876', '21995993', '1349797695', None, None, None, None, None, '2720723')
('4876', None, None, None, None, None, None, None, '2720723')
('4876', '21995993', '1349797657', None, None, None, None, None, '2720723')
('4876', None, None, None, None, None, None, None, '2720723')
('4876', '21995993', '1349797651', None, None, None, None, None, '2720723')
('4876', None, None, None, None, None, None, None, '2720723')
('4876', '21995993', '1349797614', None, None, None, None, None, '2720723')
('4876', None, None, None, None, None, None, None, '2720723')
('4876', '21995993', '1349797543', None, None, None, None, None, '2720723')
('4876', None, None, None, None, None, None, None, '2720723')
('4876', '21995993', '1349797516', None, None, None, None, None, '2720723')
('4876', None, None, None, None, None, None, None, '2720723')
('4876', '21995993', '1349797181', None, None, None, None, None, '2720723')
('4876', None, None, None, None, None, None, None, '2720723')
('4876', '21995993', '1349797149', None, None, None, None, None, '2720723')
('4876', None, None, None, None, None, None, None, '2720723')
('4876', '21995993', '1349797122', None, None, None, None, None, '2720723')
('4876', None, None, None, None, None, None, None, '2720723')
('4876', '21995993', '1349797077', None, None, None, None, None, '2720723')
('4876', None, None, None, None, None, None, None, '2720723')
('4876', '21995993', '1349796797', None, None, None, None, None, '2720723')
('4876', None, None, None, None, None, None, None, '2720723')
('4876', '21995993', '1349796751', None, None, None, None, None, '2720723')
('4876', None, None, None, None, None, None, None, '2720723')
('4876', '21995993', '1349796711', None, None, None, None, None, '2720723')
('4876', None, None, None, None, None, None, None, '2720723')
('4876', '21995993', '1349796602', None, None, None, None, None, '2720723')
('4876', None, None, None, None, None, None, None, '2720723')
('4876', '21995993', '1349796563', None, None, None, None, None, '2720723')
('4876', None, None, None, None, None, None, None, '2720723')
('4876', '21995993', '1349796208', None, None, None, None, None, '2720723')
('4876', None, None, None, None, None, None, None, '2720723')
('4876', '21995993', '1349796176', None, None, None, None, None, '2720723')
('4876', None, None, None, None, None, None, None, '2720723')
('4876', '21995993', '1349796140', None, None, None, None, None, '2720723')
('4876', None, None, None, None, None, None, None, '2720723')
('4876', '21995993', '1349796106', None, None, None, None, None, '2720723')
('4876', None, None, None, None, None, None, None, '2720723')
('4876', '21995993', '1349796095', None, None, None, None, None, '2720723')
('4876', None, None, None, None, None, None, None, '2720723')
('4876', '21995993', '1349796078', None, None, None, None, None, '2720723')
('4876', None, None, None, None, None, None, None, '2720723')
('4876', '21995993', '1349795344', None, None, None, None, None, '2720723')
('4876', None, None, None, None, None, None, None, '2720723')
('4876', '21995993', '1349795341', None, None, None, None, None, '2720723')
('4876', None, None, None, None, None, None, None, '2720723')
('4876', '21995993', '1349795337', None, None, None, None, None, '2720723')
('4876', None, None, None, None, None, None, None, '2720723')
('4876', '21995993', '1349795214', None, None, None, None, None, '2720723')
('4876', None, None, None, None, None, None, None, '2720723')
('4876', '21995993', '1349795210', None, None, None, None, None, '2720723')
('4876', None, None, None, None, None, None, None, '2720723')
('4876', '21995993', '1349795207', None, None, None, None, None, '2720723')
('4876', None, None, None, None, None, None, None, '2720723')
('4876', '21995993', '1349795205', None, None, None, None, None, '2720723')
('4876', None, None, None, None, None, None, None, '2720723')
('4876', '21995993', '1349795203', None, None, None, None, None, '2720723')
('4876', None, None, None, None, None, None, None, '2720723')
('4876', '21995993', '1349795167', None, None, None, None, None, '2720723')
('4876', None, None, None, None, None, None, None, '2720723')
('4876', '21995993', '1349795164', None, None, None, None, None, '2720723')
('4876', None, None, None, None, None, None, None, '2720723')
('4876', '21995993', '1349795162', None, None, None, None, None, '2720723')
('4876', None, None, None, None, None, None, None, '2720723')
('4876', '21995993', '1349795160', None, None, None, None, None, '2720723')
('4876', None, None, None, None, None, None, None, '2720723')
('4876', '21995993', '1349795149', None, None, None, None, None, '2720723')
('4876', None, None, None, None, None, None, None, '2720723')
('4876', '21995993', '1349795107', None, None, None, None, None, '2720723')
('4876', None, None, None, None, None, None, None, '2720723')
('4876', '21995993', '1349795104', None, None, None, None, None, '2720723')
('4876', None, None, None, None, None, None, None, '2720723')
('4876', '21995993', '1349795101', None, None, None, None, None, '2720723')
('4876', None, None, None, None, None, None, None, '2720723')
('4876', '21995993', '1349795098', None, None, None, None, None, '2720723')
('4876', None, None, None, None, None, None, None, '2720723')
('4876', '21995993', '1349795095', None, None, None, None, None, '2720723')
('4876', None, None, None, None, None, None, None, '2720723')
('4876', '21995993', '1349795093', None, None, None, None, None, '2720723')
('4876', None, None, None, None, None, None, None, '2720723')
('4876', '21995993', '1349795052', None, None, None, None, None, '2720723')
('4876', None, None, None, None, None, None, None, '2720723')
('4876', '21995993', '1349795044', None, None, None, None, None, '2720723')
('4876', None, None, None, None, None, None, None, '2720723')
('4876', '21995993', '1349795028', None, None, None, None, None, '2720723')
('4876', None, None, None, None, None, None, None, '2720723')
('4876', '21995993', '1349795010', None, None, None, None, None, '2720723')
('4876', None, None, None, None, None, None, None, '2720723')
('4876', '21995993', '1349794812', None, None, None, None, None, '2720723')
('4876', None, None, None, None, None, None, None, '2720723')
('4876', '21995993', '1349794807', None, None, None, None, None, '2720723')
('4876', None, None, None, None, None, None, None, '2720723')
('4876', '21995993', '1349794802', None, None, None, None, None, '2720723')
('4876', None, None, None, None, None, None, None, '2720723')
('4876', '21995993', '1349794798', None, None, None, None, None, '2720723')
('4876', None, None, None, None, None, None, None, '2720723')
('4876', '21995993', '1349794793', None, None, None, None, None, '2720723')
('4876', None, None, None, None, None, None, None, '2720723')
('4876', '21995993', '1349794790', None, None, None, None, None, '2720723')
('4876', None, None, None, None, None, None, None, '2720723')
('4876', '21995993', '1349794753', None, None, None, None, None, '2720723')
('4876', None, None, None, None, None, None, None, '2720723')
('4876', '21995993', '1349794746', None, None, None, None, None, '2720723')
('4876', None, None, None, None, None, None, None, '2720723')
('4876', '21995993', '1349794733', None, None, None, None, None, '2720723')


begin to insert list_values into mtr_datou_result : 
length of list_values in save_final : 101
time used for this insertion : 0.030887603759765625
 save_final 

save missing photos in datou_result :

time spend for datou_step_exec : 4.08046293258667
time spend to save output : 0.0321042537689209
total time spend for step 1 : 4.112567186355591

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 
1.25user 0.64system 0:08.81elapsed 21%CPU (0avgtext+0avgdata 103936maxresident)k
0inputs+80outputs (0major+49612minor)pagefaults 0swaps